ORCID Profile
0000-0003-0368-3188
Current Organisations
Federation University Australia
,
Federation University
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Publications
Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
Publisher: Elsevier BV
Date: 12-2021
Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique
Publisher: Elsevier BV
Date: 07-2021
Sensitivity analysis on blast design parameters to improve bench blasting outcomes using the Taguchi method
Publisher: Springer Science and Business Media LLC
Date: 16-02-2023
DOI: 10.1007/S40948-023-00540-4
Abstract: In surface mines, bench blasting is a typical way of excavating hard rock mass. Although a significant development has taken place in explosive technology but still only a part of the energy is used to excavate and a large proportion of energy is wasted away and creates a number of nuisances. Backbreak, massive rock fragmentation, and high-intensity ground vibration are all symptoms of improper blasting. As a result, production costs increase significantly while productivity decreases. The blasting outcomes are affected by a variety of factors, which may be classified into three categories: rock properties, explosive properties, and blast geometry. Consequently, it is necessary to examine the effect of these parameters on bench blasting. So, in this study, a sensitivity analysis has been performed on various blast design parameters using the Taguchi method to study the influence of blast design parameters on blast vibration, backbreak, and rock fragmentation. A total of 32 experiments have been designed and numerical modeling was also carried out, using LS DYNA software to simulate the blast results. It was found that the blast hole diameter is the most important factor influencing the blasting outcomes. However, the number of rows in a blast affects backbreak almost slightly more than the hole diameter, but blast vibrations and the surrounding rock damage strongly depend on the hole diameter. Furthermore, rock blast geometry significantly affected rock blast vibration and damage compared to explosive properties. However, both blast geometry parameters and explosive properties play a significant role in backbreaking.
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation
Publisher: Springer Science and Business Media LLC
Date: 19-10-2021
Application of an expert system to predict thermal conductivity of rocks
Publisher: Springer Science and Business Media LLC
Date: 31-03-2011
Utilization Methods and Practice of Abandoned Mines and Related Rock Mechanics under the Ecological and Double Carbon Strategy in China—A Comprehensive Review
Publisher: MDPI AG
Date: 24-08-2022
DOI: 10.3390/MIN12091065
Abstract: Governance of abandoned mines has become a pressing issue for China. The utilization of abandoned mines is a technology that can solve the problem of governance and recreate the value of mines, which is in line with the current strategic goals of ecological protection and double carbon in China. In this paper, the various utilization models and the advances in rock mechanics of abandoned mines across the globe are summarized and reviewed. The utilization models of abandoned mines can be categorized into four aspects: Energy storage, Waste treatment, Ecological restoration, and carbon dioxide (CO2) sequestration. There are a number of applications and uses of abandoned mines, such as pumped storage, compressed air storage, salt cavern gas/oil storage construction, carbon dioxide storage and utilization, radioactive waste disposal and treatment, and tourism development. Various progress practices of abandoned mines are discussed in detail with emphasis on the national conditions of China. The basic rock mechanics problems and advances involved in the construction of the facilities related to the utilization of abandoned mines are discussed and evaluated. The establishment of relevant research and experimental platforms will contribute to the sustainable development of China’s mining industry and the improvement of clean technologies.
Luminosity determination in pp collisions at $$\sqrt{s}=13$$ TeV using the ATLAS detector at the LHC
Publisher: Springer Science and Business Media LLC
Date: 31-10-2023
Prediction of blast-induced air overpressure using support vector machine
Publisher: Springer Science and Business Media LLC
Date: 07-10-2009
Search for supersymmetry in final states with missing transverse momentum and three or more b-jets in 139 fb$$^{-1}$$ of proton–proton collisions at $$\sqrt{s} = 13$$ TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 04-07-2023
DOI: 10.1140/EPJC/S10052-023-11543-6
Abstract: A search for supersymmetry involving the pair production of gluinos decaying via off-shell third-generation squarks into the lightest neutralino $$(\\tilde{\\chi }^0_1)$$ ( χ ~ 1 0 ) is reported. It exploits LHC proton–proton collision data at a centre-of-mass energy $$\\sqrt{s} = 13$$ s = 13 TeV with an integrated luminosity of 139 fb $$^{-1}$$ - 1 collected with the ATLAS detector from 2015 to 2018. The search uses events containing large missing transverse momentum, up to one electron or muon, and several energetic jets, at least three of which must be identified as containing b -hadrons. Both a simple kinematic event selection and an event selection based upon a deep neural-network are used. No significant excess above the predicted background is found. In simplified models involving the pair production of gluinos that decay via off-shell top (bottom) squarks, gluino masses less than 2.44 TeV (2.35 TeV) are excluded at 95% CL for a massless $$\\tilde{\\chi }^0_1.$$ χ ~ 1 0 . Limits are also set on the gluino mass in models with variable branching ratios for gluino decays to $$b\\bar{b}\\tilde{\\chi }^0_1,$$ b b ¯ χ ~ 1 0 , $$t\\bar{t}\\tilde{\\chi }^0_1$$ t t ¯ χ ~ 1 0 and $$t\\bar{b}\\tilde{\\chi }^-_1/\\bar{t}b\\tilde{\\chi }^+_1.$$ t b ¯ χ ~ 1 - / t ¯ b χ ~ 1 + .
Sulfur isotopes in sediment-hosted orogenic gold deposits: Evidence for an early timing and a seawater sulfur source
Publisher: Geological Society of America
Date: 2008
DOI: 10.1130/G25001A.1
Ocean and Atmosphere Geochemical Proxies Derived from Trace Elements in Marine Pyrite: Implications for Ore Genesis in Sedimentary Basins
Publisher: Society of Economic Geologists
Date: 07-02-2017
Mineral Texture Identification Using Local Binary Patterns Equipped with a Classification and Recognition Updating System (CARUS)
Publisher: MDPI AG
Date: 08-09-2022
DOI: 10.3390/SU141811291
Abstract: In this paper, a rotation-invariant local binary pattern operator equipped with a local contrast measure (riLBPc) is employed to characterize the type of mineral twinning by inspecting the texture properties of crystals. The proposed method uses photomicrographs of minerals and produces LBP histograms, which might be compared with those included in a predefined database using the Kullback–Leibler ergence-based metric. The paper proposes a new LBP-based scheme for concurrent classification and recognition tasks, followed by a novel online updating routine to enhance the locally developed mineral LBP database. The discriminatory power of the proposed Classification and Recognition Updating System (CARUS) for texture identification scheme is verified for plagioclase, orthoclase, microcline, and quartz minerals with sensitivity (TPR) near 99.9%, 87%, 99.9%, and 96%, and accuracy (ACC) equal to about 99%, 97%, 99%, and 99%, respectively. According to the results, the introduced CARUS system is a promising approach that can be applied in a variety of different fields dealing with classification and feature recognition tasks.
Search for nonresonant pair production of Higgs bosons in the
b b
Publisher:
American Physical Society (APS)
Date:
05-09-2023
Publisher: American Physical Society (APS)
Date: 05-09-2023
Calibration of the light-flavour jet mistagging efficiency of the b-tagging algorithms with Z+jets events using 139 $$\textrm{fb}^{-1}$$ of ATLAS proton–proton collision data at $$\sqrt{s} = 13$$ TeV
Publisher: Springer Science and Business Media LLC
Date: 14-08-2023
DOI: 10.1140/EPJC/S10052-023-11736-Z
Abstract: The identification of b -jets, referred to as b -tagging, is an important part of many physics analyses in the ATLAS experiment at the Large Hadron Collider and an accurate calibration of its performance is essential for high-quality physics results. This publication describes the calibration of the light-flavour jet mistagging efficiency in a data s le of proton–proton collision events at $$\\sqrt{s}=13$$ s = 13 TeV corresponding to an integrated luminosity of 139 fb $$^{-1}$$ - 1 . The calibration is performed in a s le of Z bosons produced in association with jets. Due to the low mistagging efficiency for light-flavour jets, a method which uses modified versions of the b -tagging algorithms referred to as flip taggers is used in this work. A fit to the jet-flavour-sensitive secondary-vertex mass is performed to extract a scale factor from data, to correct the light-flavour jet mistagging efficiency in Monte Carlo simulations, while simultaneously correcting the b -jet efficiency. With this procedure, uncertainties coming from the modeling of jets from heavy-flavour hadrons are considerably lower than in previous calibrations of the mistagging scale factors, where they were dominant. The scale factors obtained in this calibration are consistent with unity within uncertainties.
Search for single production of vector-like T quarks decaying into Ht or Zt in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 23-08-2023
Abstract: This paper describes a search for the single production of an up-type vector-like quark ( T ) decaying as T → Ht or T → Zt . The search utilises a dataset of pp collisions at $$ \\sqrt{s} $$ s = 13 TeV collected with the ATLAS detector during the 2015–2018 data-taking period of the Large Hadron Collider, corresponding to an integrated luminosity of 139 fb − 1 . Data are analysed in final states containing a single lepton with multiple jets and b -jets. The presence of boosted heavy resonances in the event is exploited to discriminate the signal from the Standard Model background. No significant excess above the Standard Model expectation is observed, and 95% CL upper limits are set on the production cross section of T quarks in different decay channels. The results are interpreted in several benchmark scenarios to set limits on the mass and universal coupling strength ( κ ) of the vector-like quark. For singlet T quarks, κ values above 0.53 are excluded for all masses below 2.3 TeV. At a mass of 1.6 TeV, κ values as low as 0.35 are excluded. For T quarks in the doublet scenario, where the production cross section is much lower, κ values above 0.72 are excluded for all masses below 1.7 TeV, and this exclusion is extended to κ above 0.55 for low masses around 1.0 TeV.
Artificial neural network for prediction of air flow in a single rock joint
Publisher: Springer Science and Business Media LLC
Date: 05-2012
Six Novel Hybrid Extreme Learning Machine-Swarm Intelligence Optimization (ELM-SIO) Models for Predicting Backbreak in Open-Pit Blasting
Publisher: Springer Science and Business Media LLC
Date: 20-06-2022
DOI: 10.1007/S11053-022-10082-3
Abstract: Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines, because it frequently reduces economic benefits and seriously affects the safety of mines. Therefore, rapid and accurate prediction of BB is of great significance to mine blasting design and other production activities. For this purpose, six different swarm intelligence optimization (SIO) algorithms were proposed to optimize the extreme learning machine (ELM) model for BB prediction, i.e., ELM-based particle swarm optimization (ELM–PSO), ELM-based fruit fly optimization (ELM–FOA), ELM-based whale optimization algorithm (ELM–WOA), ELM-based lion swarm optimization (ELM–LOA), ELM-based seagull optimization algorithm (ELM–SOA) and ELM-based sparrow search algorithm (ELM–SSA). In total, 234 data records from blasting operations in the Sungun mine in Iran were used in this study, including six input parameters (special drilling, spacing, burden, hole length, stemming, powder factor) and one output parameter (i.e., BB). To evaluate the predictive performance of the different optimization models and initial models, six performance indicators including the root mean square error (RMSE), Pearson correlation coefficient (R), determination coefficient (R 2 ), variance accounted for (VAF), mean absolute error (MAE) and sum of square error (SSE) were used to evaluate the models in the training and testing phases. The results show that the ELM–LSO was the best model to predict BB with RMSE of 0.1129 ( R : 0.9991, R 2 : 0.9981, VAF: 99.8135%, MAE: 0.0706 and SSE: 2.0917) in the training phase and 0.2441 in the testing phase ( R : 0.9949, R 2 : 0.9891, VAF: 98.9806%, MAE: 0.1669 and SSE: 4.1710). Hence, ELM techniques combined with SIO algorithms are an effective method to predict BB.
Search for doubly charged Higgs boson production in multi-lepton final states using 139 fb$$^{-1}$$ of proton–proton collisions at $$\sqrt{s}$$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 12-07-2023
DOI: 10.1140/EPJC/S10052-023-11578-9
Abstract: A search for pair production of doubly charged Higgs bosons ( $$H^{\\pm \\pm }$$ H ± ± ), each decaying into a pair of prompt, isolated, and highly energetic leptons with the same electric charge, is presented. The search uses a proton–proton collision data s le at a centre-of-mass energy of 13 TeV corresponding to an integrated luminosity of 139 fb $$^{-1}$$ - 1 recorded by the ATLAS detector during Run 2 of the Large Hadron Collider (LHC). This analysis focuses on same-charge leptonic decays, $$H^{\\pm \\pm } \\!\\rightarrow \\ell ^{\\pm } \\ell ^{\\prime \\pm }$$ H ± ± → ℓ ± ℓ ′ ± where $$\\ell , \\ell ^\\prime \\!=\\!e, \\mu , \\tau $$ ℓ , ℓ ′ = e , μ , τ , in two-, three-, and four-lepton channels, but only considers final states which include electrons or muons. No evidence of a signal is observed. Corresponding upper limits on the production cross-section of a doubly charged Higgs boson are derived, as a function of its mass $$m(H^{\\pm \\pm })$$ m ( H ± ± ) , at 95% confidence level. Assuming that the branching ratios to each of the possible leptonic final states are equal, $$\\mathcal {B}(H^{\\pm \\pm } \\rightarrow e^\\pm e^\\pm ) = \\mathcal {B}(H^{\\pm \\pm } \\rightarrow e^\\pm \\mu ^\\pm ) = \\mathcal {B}(H^{\\pm \\pm } \\rightarrow \\mu ^\\pm \\mu ^\\pm ) = \\mathcal {B}(H^{\\pm \\pm } \\rightarrow e^\\pm \\tau ^\\pm ) = \\mathcal {B}(H^{\\pm \\pm } \\rightarrow \\mu ^\\pm \\tau ^\\pm ) = \\mathcal {B}(H^{\\pm \\pm } \\rightarrow \\tau ^\\pm \\tau ^\\pm ) = 1/6$$ B ( H ± ± → e ± e ± ) = B ( H ± ± → e ± μ ± ) = B ( H ± ± → μ ± μ ± ) = B ( H ± ± → e ± τ ± ) = B ( H ± ± → μ ± τ ± ) = B ( H ± ± → τ ± τ ± ) = 1 / 6 , the observed (expected) lower limit on the mass of a doubly charged Higgs boson is 1080 GeV (1065 GeV) within the left-right symmetric type-II seesaw model, which is the strongest limit to date produced by the ATLAS Collaboration. Additionally, this paper provides the first direct test of the Zee–Babu neutrino mass model at the LHC, yielding an observed (expected) lower limit of $$m(H^{\\pm \\pm })$$ m ( H ± ± ) = 900 GeV (880 GeV).
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
Publisher: Springer Science and Business Media LLC
Date: 18-02-2012
Evaluation of blast-induced ground vibration predictors
Publisher: Elsevier BV
Date: 02-2007
Optimization of blasting design in open pit limestone mines with the aim of reducing ground vibration using robust techniques
Publisher: Springer Science and Business Media LLC
Date: 06-2020
Search for dark matter produced in association with a single top quark and an energetic W boson in $$\sqrt{s}=$$ 13 TeV $$pp$$ collisions with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 12-07-2023
DOI: 10.1140/EPJC/S10052-023-11582-Z
Abstract: This paper presents a search for dark matter, $$\\chi $$ χ , using events with a single top quark and an energetic W boson. The analysis is based on proton–proton collision data collected with the ATLAS experiment at $$\\sqrt{s}=$$ s = 13 TeV during LHC Run 2 (2015–2018), corresponding to an integrated luminosity of 139 fb $$^{-1}$$ - 1 . The search considers final states with zero or one charged lepton (electron or muon), at least one b -jet and large missing transverse momentum. In addition, a result from a previous search considering two-charged-lepton final states is included in the interpretation of the results. The data are found to be in good agreement with the Standard Model predictions and the results are interpreted in terms of 95% confidence-level exclusion limits in the context of a class of dark matter models involving an extended two-Higgs-doublet sector together with a pseudoscalar mediator particle. The search is particularly sensitive to on-shell production of the charged Higgs boson state, $$H^{\\pm }$$ H ± , arising from the two-Higgs-doublet mixing, and its semi-invisible decays via the mediator particle, a : $$H^{\\pm } \\rightarrow W^\\pm a (\\rightarrow \\chi \\chi )$$ H ± → W ± a ( → χ χ ) . Signal models with $$H^{\\pm }$$ H ± masses up to 1.5 TeV and a masses up to 350 GeV are excluded assuming a $$\\tan \\beta $$ tan β value of 1. For masses of a of 150 (250) GeV, $$\\tan \\beta $$ tan β values up to 2 are excluded for $$H^{\\pm }$$ H ± masses between 200 (400) GeV and 1.5 TeV. Signals with $$\\tan \\beta $$ tan β values between 20 and 30 are excluded for $$H^{\\pm }$$ H ± masses between 500 and 800 GeV.
A review on existing opencast coal mining methods within Australia
Publisher: Springer Science and Business Media LLC
Date: 05-2010
Chimneys in Paleozoic massive sulfide mounds of the Urals VMS deposits: Mineral and trace element comparison with modern black, grey, white and clear smokers
Publisher: Elsevier BV
Date: 05-2017
Early age properties of alkali-activated cement and class G cement under different saturation conditions in oil well applications
Publisher: Elsevier BV
Date: 02-2021
Validation of RMR-based support design using roof bolts by numerical modeling for underground coal mine of Monnet Ispat, Raigarh, India—a case study
Publisher: Springer Science and Business Media LLC
Date: 23-03-2011
Development of the scaled boundary finite element method for image-based slope stability analysis
Publisher: Elsevier BV
Date: 03-2022
T Regulatory Cells in Stable Posttransplant Bronchiolitis Obliterans Syndrome
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 15-10-2007
Comparison of inclusive and photon-tagged jet suppression in 5.02 TeV Pb+Pb collisions with ATLAS
Publisher: Elsevier BV
Date: 11-2023
Tellurium-bearing minerals in zoned sulfide chimneys from Cu-Zn massive sulfide deposits of the Urals, Russia
Publisher: Springer Science and Business Media LLC
Date: 22-11-2012
A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity
Publisher: Springer Science and Business Media LLC
Date: 19-01-2010
A Carbonaceous Sedimentary Source-Rock Model for Carlin-Type and Orogenic Gold Deposits
Publisher: Society of Economic Geologists
Date: 05-2011
Search for a new Z′ gauge boson in 4μ events with the ATLAS experiment
Publisher: Springer Science and Business Media LLC
Date: 12-07-2023
Abstract: This paper presents a search for a new Z ′ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using pp collision data collected at $$ \\sqrt{s} $$ s = 13 TeV, corresponding to an integrated luminosity of 139 fb − 1 . The new gauge boson Z ′ is predicted by L μ − L τ models to address observed phenomena that can not be explained by the Standard Model. The search examines the four-muon (4 μ ) final state, using a deep learning neural network classifier to separate the Z ′ signal from the Standard Model background events. The di-muon invariant masses in the 4 μ events are used to extract the Z ′ resonance signature. No significant excess of events is observed over the predicted background. Upper limits at a 95% confidence level on the Z ′ production cross-section times the decay branching fraction of pp → Z ′ μμ → 4 μ are set from 0.31 to 4.3 fb for the Z ′ mass ranging from 5 to 81 GeV. The corresponding common coupling strengths, g Z ′ , of the Z ′ boson to the second and third generation leptons above 0.003 – 0.2 have been excluded.
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Publisher: Springer Science and Business Media LLC
Date: 15-01-2022
Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach
Publisher: Elsevier BV
Date: 02-2006
Measurement of exclusive pion pair production in proton–proton collisions at $$\sqrt{s}={7}\,\text {TeV}$$ with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 17-07-2023
DOI: 10.1140/EPJC/S10052-023-11700-X
Abstract: The exclusive production of pion pairs in the process $$pp\\rightarrow pp\\pi ^+\\pi ^-$$ p p → p p π + π - has been measured at $$\\sqrt{s}={7}\\,\\text {TeV}$$ s = 7 TeV with the ATLAS detector at the LHC, using $${80}\\,{\\upmu \\textrm{b}}^{-1}$$ 80 μ b - 1 of low-luminosity data. The pion pairs were detected in the ATLAS central detector while outgoing protons were measured in the forward ATLAS ALFA detector system. This represents the first use of proton tagging to measure an exclusive hadronic final state at the LHC. A cross-section measurement is performed in two kinematic regions defined by the proton momenta, the pion rapidities and transverse momenta, and the pion–pion invariant mass. Cross-section values of $$4.8 \\pm 1.0 \\mathrm {\\ (stat)} {~}^{+0.3}_{-0.2} \\mathrm {\\ (syst)}\\ {\\upmu \\textrm{b}}$$ 4.8 ± 1.0 ( stat ) - 0.2 + 0.3 ( syst ) μ b and $$9 \\pm 6 \\mathrm {\\ (stat)} {~}^{+2}_{-2} \\mathrm {\\ (syst)}\\ {\\upmu \\textrm{b}} $$ 9 ± 6 ( stat ) - 2 + 2 ( syst ) μ b are obtained in the two regions they are compared with theoretical models and provide a demonstration of the feasibility of measurements of this type.
Determination of the strong coupling constant from transverse energy-energy correlations in multijet events at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 11-07-2023
Abstract: Measurements of transverse energy-energy correlations and their associated azimuthal asymmetries in multijet events are presented. The analysis is performed using a data s le corresponding to 139 fb − 1 of proton-proton collisions at a centre-of-mass energy of $$ \\sqrt{s} $$ s = 13 TeV, collected with the ATLAS detector at the Large Hadron Collider. The measurements are presented in bins of the scalar sum of the transverse momenta of the two leading jets and unfolded to particle level. They are then compared to next-to-next-to-leading-order perturbative QCD calculations for the first time, which feature a significant reduction in the theoretical uncertainties estimated using variations of the renormalisation and factorisation scales. The agreement between data and theory is good, thus providing a precision test of QCD at large momentum transfers Q . The strong coupling constant α s is extracted as a function of Q , showing a good agreement with the renormalisation group equation and with previous analyses. A simultaneous fit to all transverse energy-energy correlation distributions across different kinematic regions yields a value of $$ {\\alpha}_{\\textrm{s}}\\left({m}_Z\\right)=0.1175\\pm 0.0006{\\left(\\exp .\\right)}_{-0.0017}^{+0.0034}\\left(\\textrm{theo}.\\right) $$ α s m Z = 0.1175 ± 0.0006 exp . − 0.0017 + 0.0034 theo . , while the global fit to the asymmetry distributions yields $$ {\\alpha}_{\\textrm{s}}\\left({m}_Z\\right)=0.1185\\pm 0.0009{\\left(\\exp .\\right)}_{-0.0012}^{+0.0025}\\left(\\textrm{theo}.\\right) $$ α s m Z = 0.1185 ± 0.0009 exp . − 0.0012 + 0.0025 theo . .
Inclusive-photon production and its dependence on photon isolation in pp collisions at $$ \sqrt{s} $$ = 13 TeV using 139 fb−1 of ATLAS data
Publisher: Springer Science and Business Media LLC
Date: 11-07-2023
Abstract: Measurements of differential cross sections are presented for inclusive isolated-photon production in pp collisions at a centre-of-mass energy of 13 TeV provided by the LHC and using 139 fb − 1 of data recorded by the ATLAS experiment. The cross sections are measured as functions of the photon transverse energy in different regions of photon pseudorapidity. The photons are required to be isolated by means of a fixed-cone method with two different cone radii. The dependence of the inclusive-photon production on the photon isolation is investigated by measuring the fiducial cross sections as functions of the isolation-cone radius and the ratios of the differential cross sections with different radii in different regions of photon pseudorapidity. The results presented in this paper constitute an improvement with respect to those published by ATLAS earlier: the measurements are provided for different isolation radii and with a more granular segmentation in photon pseudorapidity that can be exploited in improving the determination of the proton parton distribution functions. These improvements provide a more in-depth test of the theoretical predictions. Next-to-leading-order QCD predictions from JETPHOX and SHERPA and next-to-next-to-leading-order QCD predictions from NNLOJET are compared to the measurements, using several parameterisations of the proton parton distribution functions. The measured cross sections are well described by the fixed-order QCD predictions within the experimental and theoretical uncertainties in most of the investigated phase-space region.
Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural networks
Publisher: Elsevier BV
Date: 05-2010
Measurement of the properties of Higgs boson production at $$ \sqrt{s} $$ = 13 TeV in the H → γγ channel using 139 fb−1 of pp collision data with the ATLAS experiment
Publisher: Springer Science and Business Media LLC
Date: 11-07-2023
Abstract: Measurements of Higgs boson production cross-sections are carried out in the diphoton decay channel using 139 fb − 1 of pp collision data at $$ \\sqrt{s} $$ s = 13 TeV collected by the ATLAS experiment at the LHC. The analysis is based on the definition of 101 distinct signal regions using machine-learning techniques. The inclusive Higgs boson signal strength in the diphoton channel is measured to be $$ {1.04}_{-0.09}^{+0.10} $$ 1.04 − 0.09 + 0.10 . Cross-sections for gluon-gluon fusion, vector-boson fusion, associated production with a W or Z boson, and top associated production processes are reported. An upper limit of 10 times the Standard Model prediction is set for the associated production process of a Higgs boson with a single top quark, which has a unique sensitivity to the sign of the top quark Yukawa coupling. Higgs boson production is further characterized through measurements of Simplified Template Cross-Sections (STXS). In total, cross-sections of 28 STXS regions are measured. The measured STXS cross-sections are compatible with their Standard Model predictions, with a p -value of 93%. The measurements are also used to set constraints on Higgs boson coupling strengths, as well as on new interactions beyond the Standard Model in an effective field theory approach. No significant deviations from the Standard Model predictions are observed in these measurements, which provide significant sensitivity improvements compared to the previous ATLAS results.
Search for lepton-flavour violation in high-mass dilepton final states using 139 fb−1 of pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 13-10-2023
Cycles of nutrient trace elements in the Phanerozoic ocean
Publisher: Elsevier BV
Date: 12-2015
New decarboxylation syntheses of polyfluorophenylorganometallic compounds
Publisher: Elsevier BV
Date: 12-1976
Backbreak prediction in the Chadormalu iron mine using artificial neural network
Publisher: Springer Science and Business Media LLC
Date: 12-07-2013
Comparison of Induced Sputum and Bronchoalveolar Lavage in Lung Transplant Recipients
Publisher: Elsevier BV
Date: 05-2006
DOI: 10.1016/J.HEALUN.2005.12.009
Abstract: Chronic lung rejection is characterized by obliterative bronchiolitis (OB) diagnosed based on spirometric criteria reflecting an already advanced process. Biologic markers such as bronchoalveolar lavage (BAL) neutrophilia or increased levels of chemokines (interleukin-8, RANTES [regulated on activation: normal T cell expressed and secreted]) have been proposed as early diagnosis tools. However, BAL is too invasive to be used as a routine strategy. Induced sputum (IS), however, is a non-invasive method of recovering bronchial cells. The aim of this study was to compare BAL and IS differential cellular counts as well as IL-8 and RANTES levels between patients with bronchiolitis obliterans syndrome (BOS), recipients with good outcome and well-preserved lung function (non-BOS) and non-transplanted controls. We compared 34 BAL and IS findings obtained consecutively from 34 lung transplant recipients (LTRs), including 22 non-BOS and 12 BOS patients. IS results were compared with 19 s les from non-transplanted controls. IS was well tolerated. There was no correlation between BAL and sputum cell populations. BAL neutrophils and IL-8 levels were increased in BOS, and these parameters were positively correlated. Moreover, BAL neutrophils and IL-8 levels were both negatively correlated with respiratory function. Sputum evaluation allows discrimination of BOS from non-BOS by the presence of higher neutrophil and eosinophil counts. Moreover, IS neutrophils and eosinophils were both correlated with lung function parameters. In contrast to BAL, IL-8 level in sputum was not a useful predictive marker of BOS development. IS RANTES levels were higher in BOS than in healthy recipients and correlated significantly with IS eosinophils. IS and BAL provide different but complementary data. In this study, IS appeared to be a useful, non-invasive tool for LTR monitoring. Furthermore, IS provides new insights into BOS pathogenesis, especially with regard to implication of eosinophils and its chemokine, RANTES, at the bronchial level.
Prediction and Analysis of Blast Parameters Using Artificial Neural Network
Publisher: SAGE Publications
Date: 05-2006
DOI: 10.1260/095745606777630323
Abstract: In this study an attempt is made to predict the ratio of muck pile profile before and after the blast, fly rock and total explosive used, based on simple field tests as well blast design parameters. Prediction is done by making three different artificial neural network (ANN) models. Comparative statistical analysis is made among these three networks to ensure their performance suitability. Models of ANN were based on Feed Forward Back Propagation network with training functions – Resilient Backpropagation, One Step Secant and Powell-Beale Restarts. Total numbers of datasets chosen were 92 among which 17 were chosen for testing and validation and the rest were used for the training of networks. Statistical analysis is also made for these datasets. Considering performance for all the outputs, the best results are predicted by Powell-Beale Restarts, with an average percentage error of 5.871% for the ratio of muck pile before and after the blast, 5.335% for fly rocks and 5.775% for total explosive used. These parameters are predicted by number of holes to be blasted, hole diameter, pattern (spacing (m) X burden (m)), total volume of rock in a blast, average depth and total drill depth.
Measurement of the Sensitivity of Two-Particle Correlations in
p p
Publisher: American Physical Society (APS)
Date: 16-10-2023
Search for a light charged Higgs boson in t → H±b decays, with H± → cb, in the lepton+jets final state in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 09-2023
Measurement of the CP properties of Higgs boson interactions with $$\tau $$-leptons with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 04-07-2023
DOI: 10.1140/EPJC/S10052-023-11583-Y
Abstract: A study of the charge conjugation and parity ( $$\\textit{CP}$$ CP ) properties of the interaction between the Higgs boson and $$\\tau $$ τ -leptons is presented. The study is based on a measurement of $$\\textit{CP}$$ CP -sensitive angular observables defined by the visible decay products of $$\\tau $$ τ -leptons produced in Higgs boson decays. The analysis uses 139 fb $$^{-1}$$ - 1 of proton–proton collision data recorded at a centre-of-mass energy of $$\\sqrt{s}= 13$$ s = 13 TeV with the ATLAS detector at the Large Hadron Collider. Contributions from $$\\textit{CP}$$ CP -violating interactions between the Higgs boson and $$\\tau $$ τ -leptons are described by a single mixing angle parameter $$\\phi _{\\tau }$$ ϕ τ in the generalised Yukawa interaction. Without constraining the $$H\\rightarrow \\tau \\tau $$ H → τ τ signal strength to its expected value under the Standard Model hypothesis, the mixing angle $$\\phi _{\\tau }$$ ϕ τ is measured to be $$9^{\\circ } \\pm 16^{\\circ }$$ 9 ∘ ± 16 ∘ , with an expected value of $$0^{\\circ } \\pm 28^{\\circ }$$ 0 ∘ ± 28 ∘ at the 68% confidence level. The pure $$\\textit{CP}$$ CP -odd hypothesis is disfavoured at a level of 3.4 standard deviations. The results are compatible with the predictions for the Higgs boson in the Standard Model.
Erratum to: “Criteria for the detection of hydrothermal ecosystem faunas in ores of massive sulfide deposits in the Urals”
Publisher: Pleiades Publishing Ltd
Date: 07-2017
The dual diagnosis capability of residential addiction treatment centres: Priorities and confidence to improve capability following a review process
Publisher: Wiley
Date: 19-08-2010
DOI: 10.1111/J.1465-3362.2010.00215.X
Abstract: The Dual Diagnosis Capability of Addiction Treatment (DDCAT) index is used to assess the capacity of substance abuse services to work with in iduals with co-occurring mental health problems. The current study aimed to: (i) examine the dual diagnosis capability of residential substance abuse programs in Australia (ii) identify managers' perceptions regarding both priorities and confidence for change following the completion of the DDCAT and (iii) to examine the usefulness of the DDCAT to residential substance abuse programs. The DDCAT was completed across 16 residential substance abuse units. An external researcher administered and scored the DDCAT. A Unit Manager from each site completed the Comorbidity Priorities and Confidence Survey following the completion of the DDCAT review. This survey examined the usefulness of the DDCAT, and the unit's priorities to improve its capability, and confidence to improve its DDCAT score. Across the services, program structure and staff training were the DDCAT domains that required the most improvement. While training was the highest endorsed priority area for improvement, program structure was the lowest priority. Overall the Unit Managers reported positive attitudes towards use of the DDCAT and were confident that their unit could improve their DDCAT scores. DDCAT scores of Australian residential substance abuse programs are comparable with previous published results. However, there is still substantial work required to improve the capability of these programs. Future research should examine strategies to promote sustained improvements in the capability of residential substance abuse programs.
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples
Publisher: Springer Science and Business Media LLC
Date: 22-11-2017
Charged-hadron production in pp, p+Pb, Pb+Pb, and Xe+Xe collisions at $$ \sqrt{s_{\textrm{NN}}} $$ = 5 TeV with the ATLAS detector at the LHC
Publisher: Springer Science and Business Media LLC
Date: 10-07-2023
Abstract: This paper presents measurements of charged-hadron spectra obtained in pp , p +Pb, and Pb+Pb collisions at $$ \sqrt{s} $$ s or $$ \sqrt{s_{\textrm{NN}}} $$ s NN = 5 . 02 TeV, and in Xe+Xe collisions at $$ \sqrt{s_{\textrm{NN}}} $$ s NN = 5 . 44 TeV. The data recorded by the ATLAS detector at the LHC have total integrated luminosities of 25 pb − 1 , 28 nb − 1 , 0.50 nb − 1 , and 3 μ b − 1 , respectively. The nuclear modification factors R p Pb and R AA are obtained by comparing the spectra in heavy-ion and pp collisions in a wide range of charged-particle transverse momenta and pseudorapidity. The nuclear modification factor R p Pb shows a moderate enhancement above unity with a maximum at p T ≈ 3 GeV the enhancement is stronger in the Pb-going direction. The nuclear modification factors in both Pb+Pb and Xe+Xe collisions feature a significant, centrality-dependent suppression. They show a similar distinct p T -dependence with a local maximum at p T ≈ 2 GeV and a local minimum at p T ≈ 7 GeV. This dependence is more distinguishable in more central collisions. No significant | η |-dependence is found. A comprehensive comparison with several theoretical predictions is also provided. They typically describe R AA better in central collisions and in the p T range from about 10 to 100 GeV.
Prediction of blast-induced ground vibration using artificial neural network
Publisher: Elsevier BV
Date: 10-2009
Global comparisons of volcanic-associated massive sulphide districts
Publisher: Geological Society of London
Date: 2002
Search for a new scalar resonance in flavour-changing neutral-current top-quark decays t → qX (q = u, c), with X → $$ b\overline{b} $$, in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV with the
Publisher: Springer Science and Business Media LLC
Date: 26-07-2023
Abstract: A search for flavour-changing neutral-current decays of a top quark into an up-type quark (either up or charm) and a light scalar particle X decaying into a bottom anti-bottom quark pair is presented. The search focuses on top-quark pair production where one top quark decays to qX , with X → $$ b\\overline{b} $$ b b ¯ , and the other top quark decays according to the Standard Model, with the W boson decaying leptonically. The final state is thus characterised by an isolated electron or muon and at least four jets. Events are categorised according to the multiplicity of jets and jets tagged as originating from b -quarks, and a neural network is used to discriminate between signal and background processes. The data analysed correspond to 139 fb − 1 of proton–proton collisions at a centre-of-mass energy of 13 TeV, recorded with the ATLAS detector at the LHC. The 95% confidence-level upper limits between 0.019% and 0.062% are derived for the branching fraction $$ \\mathcal{B} $$ B ( t → uX ) and between 0.018% and 0.078% for the branching fraction $$ \\mathcal{B} $$ B ( t → cX ), for masses of the scalar particle X between 20 and 160 GeV.
Mineralogy and trace-element geochemistry of sulfide minerals in hydrothermal chimneys from the Upper-Cretaceous VMS deposits of the eastern Pontide orogenic belt (NE Turkey)
Publisher: Elsevier BV
Date: 12-2014
Comparison of measuring instruments for radiofrequency radiation from mobile telephones in epidemiological studies: Implications for exposure assessment
Publisher: Springer Science and Business Media LLC
Date: 28-02-2007
Abstract: The debate on mobile telephone safety continues. Most epidemiological studies investigating health effects of radiofrequency (RF) radiation emitted by mobile phone handsets have been criticised for poor exposure assessment. Most of these studies relied on the historical reconstruction of participants' phone use by questionnaires. Such exposure assessment methods are prone to recall bias resulting in misclassification that may lead to conflicting conclusions. Although there have been some studies using software-modified phones (SMP) for exposure assessment in the literature, until now there is no published work on the use of hardware modified phones (HMPs) or RF dosimeters for studies of mobile phones and health outcomes. We reviewed existing literature on mobile phone epidemiology with particular attention to exposure assessment methods used. Owing to the inherent limitations of these assessment methods, we suggest that the use of HMPs may show promise for more accurate exposure assessment of RF radiation from mobile phones.
Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion
Publisher: Springer Science and Business Media LLC
Date: 04-01-2021
Application of an Expert System for the Assessment of Blast Vibration
Publisher: Springer Science and Business Media LLC
Date: 19-10-2011
Gold and Trace Element Zonation in Pyrite Using a Laser Imaging Technique: Implications for the Timing of Gold in Orogenic and Carlin-Style Sediment-Hosted Deposits
Publisher: Society of Economic Geologists
Date: 08-2009
Search for pair-produced vector-like top and bottom partners in events with large missing transverse momentum in pp collisions with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 10-08-2023
DOI: 10.1140/EPJC/S10052-023-11790-7
Abstract: A search for pair-produced vector-like quarks using events with exactly one lepton ( e or $$\\mu $$ μ ), at least four jets including at least one b -tagged jet, and large missing transverse momentum is presented. Data from proton–proton collisions at a centre-of-mass energy of $$\\sqrt{s}=$$ s = 13 $$\\text {TeV}$$ TeV , recorded by the ATLAS detector at the LHC from 2015 to 2018 and corresponding to an integrated luminosity of 139 fb $$^{-1}$$ - 1 , are analysed. Vector-like partners T and B of the top and bottom quarks are considered, as is a vector-like X with charge $$+5/3$$ + 5 / 3 , assuming their decay into a W , Z , or Higgs boson and a third-generation quark. No significant deviations from the Standard Model expectation are observed. Upper limits on the production cross-section of T and B quark pairs as a function of their mass are derived for various decay branching ratio scenarios. The strongest lower limits on the masses are 1.59 $$\\text {TeV}$$ TeV assuming mass-degenerate vector-like quarks and branching ratios corresponding to the weak-isospin doublet model, and 1.47 $$\\text {TeV}$$ TeV (1.46 $$\\text {TeV}$$ TeV ) for exclusive $$T \\rightarrow Zt$$ T → Z t ( $$B/X \\rightarrow Wt$$ B / X → W t ) decays. In addition, lower limits on the T and B quark masses are derived for all possible branching ratios.
Measurements of Zγ+jets differential cross sections in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 10-07-2023
Abstract: Differential cross-section measurements of Zγ production in association with hadronic jets are presented, using the full 139 fb − 1 dataset of $$ \\sqrt{s} $$ s = 13 TeV proton–proton collisions collected by the ATLAS detector during Run 2 of the LHC. Distributions are measured using events in which the Z boson decays leptonically and the photon is usually radiated from an initial-state quark. Measurements are made in both one and two observables, including those sensitive to the hard scattering in the event and others which probe additional soft and collinear radiation. Different Standard Model predictions, from both parton-shower Monte Carlo simulation and fixed-order QCD calculations, are compared with the measurements. In general, good agreement is observed between data and predictions from MATRIX and MiNNLO PS , as well as next-to-leading-order predictions from M ad G raph 5_ a MC@NLO and S herpa .
Evaluation of safe explosive charge in surface mines using artificial neural network
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2014
Stress–strain relationship of sandstone under confining pressure with repetitive impact
Publisher: Springer Science and Business Media LLC
Date: 27-04-2021
Measurements of multijet event isotropies using optimal transport with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 10-10-2023
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Publisher: Springer Science and Business Media LLC
Date: 22-04-2022
Application of soft computing to predict blast-induced ground vibration
Publisher: Springer Science and Business Media LLC
Date: 13-11-2009
Prediction of Blast Induced Air Overpressure in Opencast Mine
Publisher: SAGE Publications
Date: 02-2005
Abstract: Blasting is still considered to be the most economical technique for rock excavation and displacement either on the surface or underground. The explosive energy, which fractures the rockmass is not fully utilized and only 20-30% of the energy is utilized in actual breakage of the rockmass, and the rest of the energy is spread in the form of ground vibration, air blast, flying rock, back break, etc. Air blast is considered to be one of the most detrimental side effects due to generation of noise. A generalized equation has been proposed by many researchers but due to its site specific constants, it cannot be used in other geo-mining conditions. In the present paper, an attempt has been made to predict the air blast using a neural network (NN) by incorporating the maximum charge per delay and distance between blast face to monitoring point. To investigate the appropriateness of this approach, the predictions by a NN are also compared with generalized equation of air overpressure and conventional statistical relations. For prediction of air overpressure, the data set has been taken from two different limestone mines for training of the network while validation of the network has been done by Magnesite mine data set. The network is trained by 41 datasets with 50 epochs and tested by 15 dataset. The correlation co-efficient determined by a NN was 0.9574 while correlation co-efficient were 0.3811 and 0.5258 by generalized equation and statistical analysis respectively. The Mean Absolute Percentage Error (MAPE) for a NN was 2.7437, whereas MAPE for generalized equation and statistical analysis were 8.6957 and 6.9179 respectively.
Blast-induced ground vibration prediction using support vector machine
Publisher: Springer Science and Business Media LLC
Date: 06-07-2010
Searches for exclusive Higgs and Z boson decays into a vector quarkonium state and a photon using 139 fb$$^{-1}$$ of ATLAS $$\sqrt{s}=13$$ TeV proton–proton collision data
Publisher: Springer Science and Business Media LLC
Date: 05-09-2023
Stability prediction of Himalayan residual soil slope using artificial neural network
Publisher: Springer Science and Business Media LLC
Date: 04-07-2020
Gold in the oceans through time
Publisher: Elsevier BV
Date: 10-2015
Application of neural networks for the prediction of rock fragmentation in Chadormalu iron mine / Zastosowanie sieci neuronowych do prognozowania stopnia rozdrobnienia skał w kopalni rud żelaza w Chad
Publisher: Polish Academy of Sciences Chancellery
Date: 12-2012
DOI: 10.2478/V10267-012-0051-0
Abstract: Most open-pit mining operations employ blasting for primary breakage of the in-situ rock mass. Inappropriate blasting techniques can result in excessive damage to the wall rock, decreasing stability and increasing water influx. In addition, it will result in either over and/or under breakage of rocks. The presence of over broken rocks can result in decreased wall stability and require additional excavation. In contrast, the presence of under broken rocks may require secondary blasting and additional crushing. Since blasting is a major cost factor, both cases (under and over breakage) create additional costs reflected in the increase of the operation and maintenance of the machinery. Quick and accurate measurements of fragment size distribution are essential for managing fragmented rock and other materials. Various fragmentation measurement techniques are available and are being used by industry/researchers but most of the methods are time consuming and not precise. An ideally performed blasting operation enormously influences the overall mining cost. This aim can be achieved by proper prediction and attenuation of fragmentation. Prediction of fragmentation is essential for optimizing blasting operation. Poor performance of the empirical models for predicting fragmentation has urged the application of new approaches. In this paper, artificial neural network (ANN) method is implemented to develop a model to predict rock fragmentation size distribution due to blasting in Chadormalu iron mine, Iran. In the development of the proposed ANN model, ten parameters such as UCS, drilling rate, water content, burden, spacing, stemming, hole diameter, bench height, powder factor and charge per delay were incorporated. Training and testing of the model was performed by the back-propagation algorithm using 97 datasets. A four-layer ANN was found to be optimum with architecture of 10-7-5-1. A comparison has made between measured results of fragmentation with predicted results of fragmentation by ANN and multiple regression model. Sensitivity analysis was also performed to understand the effect of each influencing parameters on rock fragmentation.
Micromechanical analysis of the particle corner breakage effect on pile penetration resistance and formation of breakage zones in coral sand
Publisher: Elsevier BV
Date: 09-2022
Measurements of differential cross sections of Higgs boson production through gluon fusion in the $$H\rightarrow WW^{*}\rightarrow e\nu \mu \nu $$ final state at $$\sqrt{s} = 13$$ TeV with the ATLAS d
Publisher: Springer Science and Business Media LLC
Date: 09-2023
Model-independent search for the presence of new physics in events including H → γγ with $$ \sqrt{s} $$ = 13 TeV pp data recorded by the ATLAS detector at the LHC
Publisher: Springer Science and Business Media LLC
Date: 24-07-2023
Abstract: A model-independent search for new physics leading to final states containing a Higgs boson, with a mass of 125.09 GeV, decaying to a pair of photons is performed with 139 fb − 1 of $$ \\sqrt{s} $$ s = 13 TeV pp collision data recorded by the ATLAS detector at the Large Hadron Collider at CERN. This search examines 22 final states categorized by the objects that are produced in association with the Higgs boson. These objects include isolated electrons or muons, hadronically decaying τ -leptons, additional photons, missing transverse momentum, and hadronic jets, as well as jets that are tagged as containing a b -hadron. No significant excesses above Standard Model expectations are observed and limits on the production cross section at 95% confidence level are set. Detector efficiencies are reported for all 22 signal regions, which can be used to convert detector-level cross-section limits reported in this paper to particle-level cross-section constraints.
Prediction of flyrock in open pit blasting operation using machine learning method
Publisher: Elsevier BV
Date: 05-2013
Correction to: A study on environmental issues of blasting using advanced support vector machine algorithms (International Journal of Environmental Science and Technology, (2022), 10.1007/s13762-022-03999-y)
Publisher: Springer Science and Business Media LLC
Date: 27-03-2022
Investigating the Slurry Fluidity and Strength Characteristics of Cemented Backfill and Strength Prediction Models by Developing Hybrid GA-SVR and PSO-SVR
Publisher: Springer Science and Business Media LLC
Date: 03-02-2022
Evaluation and prediction of blast induced ground vibration using support vector machine
Publisher: Elsevier BV
Date: 2010
Criteria for the detection of hydrothermal ecosystem faunas in ores of massive sulfide deposits in the Urals
Publisher: Pleiades Publishing Ltd
Date: 05-2017
Search for periodic signals in the dielectron and diphoton invariant mass spectra using 139 fb−1 of pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 13-10-2023
A Dimensional Analysis Approach to Study Blast-Induced Ground Vibration
Publisher: Springer Science and Business Media LLC
Date: 18-07-2015
Computing Elastic Moduli of Igneous Rocks Using Modal Composition and Effective Medium Theory
Publisher: MDPI AG
Date: 10-11-2022
DOI: 10.3390/GEOSCIENCES12110413
Abstract: Elastic constants of rock materials are the basic parameters required for modeling the response of rock materials under mechanical loads. Experimental tests for determining these properties are expensive, time-consuming and suffer from a high uncertainty due to both experimental limitations and the heterogeneous nature of rock materials. To avoid such experimental difficulties, in this paper a method is suggested for determining elastic constants of rock materials by determining their porosity and modal composition and employing effective medium theory. The Voigt–Reuss–Hill average is used to determine effective elastic constants of the studied igneous rocks according to the elastic moduli of their mineral constituents. Then, the effect of porosity has been taken into account by considering rock as a two-phase material, and the Kuster–Toksoz formulation is used for providing a close estimation of different moduli. The solutions are provided for different isotropic igneous rocks. This sustainable method avoids destructive tests and the usage of energy for performing time-consuming and expensive tests and requires simple equipment.
Predicting elastic properties of schistose rocks from unconfined strength using intelligent approach
Publisher: Springer Science and Business Media LLC
Date: 07-10-2009
Order of Intermittent Rock Fractured Surfaces
Publisher: MDPI AG
Date: 31-12-2022
DOI: 10.3390/SU15010745
Abstract: According to chaos theory, some underlying patterns can disclose the order of disordered systems. Here, it has been discussed that intermittency of rough rock fractured surfaces is an orderable disorder at intermediate length scales. However, this kind of disorder is more complicated than simple fractal or even multi-scaling behaviours. It is planned to deal with some multifractal spectra that systematically change as a function of the analysed domain. Accordingly, some parameters are introduced that can perfectly take into account such systematic behaviour and quantify the intermittency of the studied surfaces. This framework can be used to quantify and model the roughness of fractured surfaces as a prerequisite factor for the analysis of fluid flow in rock media as well as the shear strength of rock joints. Ultimately, the presented framework can be used for analysing the intermittency of time series and developing new models for predicting, for instance, seismic or flood events in a short time with higher accuracy.
Search for resonant and non-resonant Higgs boson pair production in the $$ b\overline{b}{\tau}^{+}{\tau}^{-} $$ decay channel using 13 TeV pp collision data from the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 05-07-2023
Abstract: A search for Higgs boson pair production in events with two b -jets and two τ -leptons is presented, using a proton–proton collision dataset with an integrated luminosity of 139 fb − 1 collected at $$ \\sqrt{s} $$ s = 13 TeV by the ATLAS experiment at the LHC. Higgs boson pairs produced non-resonantly or in the decay of a narrow scalar resonance in the mass range from 251 to 1600 GeV are targeted. Events in which at least one τ -lepton decays hadronically are considered, and multivariate discriminants are used to reject the backgrounds. No significant excess of events above the expected background is observed in the non-resonant search. The largest excess in the resonant search is observed at a resonance mass of 1 TeV, with a local (global) significance of 3 . 1 σ (2 . 0 σ ). Observed (expected) 95% confidence-level upper limits are set on the non-resonant Higgs boson pair-production cross-section at 4.7 (3.9) times the Standard Model prediction, assuming Standard Model kinematics, and on the resonant Higgs boson pair-production cross-section at between 21 and 900 fb (12 and 840 fb), depending on the mass of the narrow scalar resonance.
A Combination of Expert-Based System and Advanced Decision-Tree Algorithms to Predict Air-Overpressure Resulting from Quarry Blasting
Publisher: Springer Science and Business Media LLC
Date: 13-11-2020
Prediction of Rockburst Using Supervised Machine Learning
Publisher: Springer Nature Singapore
Date: 2022
Ultimate Pit Limit Optimization by Computerized and Manual Methods for Dadiin Khar Tolgoi – 2 Coal Mine – A Case Study
Publisher: Springer Nature Singapore
Date: 2022
Searches for lepton-flavour-violating decays of the Higgs boson into eτ and μτ in $$ \sqrt{s} $$ = 13 TeV pp collisions with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 21-07-2023
Abstract: This paper presents direct searches for lepton flavour violation in Higgs boson decays, H → eτ and H → μτ , performed using data collected with the ATLAS detector at the LHC. The searches are based on a data s le of proton-proton collisions at a centre-of-mass energy $$ \\sqrt{s} $$ s = 13 TeV, corresponding to an integrated luminosity of 138 fb − 1 . Leptonic ( τ → ℓν ℓ ν τ ) and hadronic ( τ → hadrons ν τ ) decays of the τ -lepton are considered. Two background estimation techniques are employed: the MC-template method, based on data-corrected simulation s les, and the Symmetry method, based on exploiting the symmetry between electrons and muons in the Standard Model backgrounds. No significant excess of events is observed and the results are interpreted as upper limits on lepton-flavour-violating branching ratios of the Higgs boson. The observed (expected) upper limits set on the branching ratios at 95% confidence level, $$ \\mathcal{B} $$ B ( H → eτ ) 0 . 20% (0 . 12%) and $$ \\mathcal{B} $$ B ( H → μτ ) 0 . 18% (0 . 09%), are obtained with the MC-template method from a simultaneous measurement of potential H → eτ and H → μτ signals. The best-fit branching ratio difference, $$ \\mathcal{B} $$ B ( H → μτ ) → $$ \\mathcal{B} $$ B ( H → eτ ), measured with the Symmetry method in the channel where the τ -lepton decays to leptons, is (0 . 25 ± 0 . 10)%, compatible with a value of zero within 2 . 5 σ .
Ferruginous and manganiferous haloes around massive sulphide deposits of the Urals
Publisher: Elsevier BV
Date: 09-2012
ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset
Publisher: Springer Science and Business Media LLC
Date: 31-07-2023
DOI: 10.1140/EPJC/S10052-023-11699-1
Abstract: The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of $$\\sqrt{s} = 13$$ s = 13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b -jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a s le of simulated Standard Model $$t\\bar{t}$$ t t ¯ events similarly, at a c -jet identification efficiency of 30%, a light-jet ( b -jet) rejection factor of 70 (9) is obtained.
Correlating P-wave Velocity with the Physico-Mechanical Properties of Different Rocks
Publisher: Springer Science and Business Media LLC
Date: 29-07-2012
Prediction of Safe Charge to Protect Surrounding Structures Using Support Vector Machine
Publisher: Springer Science and Business Media LLC
Date: 10-03-2012
Search for exclusive Higgs and Z boson decays to ωγ and Higgs boson decays to K⁎γ with the ATLAS detector
Publisher: Elsevier BV
Date: 10-2023
Dynamic compression mechanical properties of sandstone supported by Thin Spray-On Liner
Publisher: Informa UK Limited
Date: 08-03-2023
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks
Publisher: Elsevier BV
Date: 09-2022
Image based probabilistic slope stability analysis of soil layer interface fluctuations with Brownian bridges
Publisher: Elsevier BV
Date: 06-2023
Correlating static properties of coal measures rocks with P-wave velocity
Publisher: Elsevier BV
Date: 07-2009
Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques
Publisher: Springer Science and Business Media LLC
Date: 30-01-2019
Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms
Publisher: Elsevier BV
Date: 08-2022
Search for leptonic charge asymmetry in $$ t\overline{t}W $$ production in final states with three leptons at $$ \sqrt{s} $$ = 13 TeV
Publisher: Springer Science and Business Media LLC
Date: 05-07-2023
Abstract: A search for the leptonic charge asymmetry ( $$ {A}_{\\textrm{c}}^{\\ell } $$ A c ℓ ) of top-quark-antiquark pair production in association with a W boson ( $$ t\\overline{t}W $$ t t ¯ W ) is presented. The search is performed using final states with exactly three charged light leptons (electrons or muons) and is based on $$ \\sqrt{s} $$ s = 13 TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider at CERN during the years 2015–2018, corresponding to an integrated luminosity of 139 fb − 1 . A profile-likelihood fit to the event yields in multiple regions corresponding to positive and negative differences between the pseudorapidities of the charged leptons from top-quark and top-antiquark decays is used to extract the charge asymmetry. At reconstruction level, the asymmetry is found to be −0 . 12 ± 0 . 14 (stat.) ± 0 . 05 (syst.). An unfolding procedure is applied to convert the result at reconstruction level into a charge-asymmetry value in a fiducial volume at particle level with the result of −0 . 11 ± 0 . 17 (stat.) ± 0 . 05 (syst.). The Standard Model expectations for these two observables are calculated using Monte Carlo simulations with next-to-leading-order plus parton shower precision in quantum chromodynamics and including next-to-leading-order electroweak corrections. They are $$ -{0.084}_{-0.003}^{+0.005} $$ − 0.084 − 0.003 + 0.005 (scale) ± 0 . 006 (MC stat.) and $$ -{0.063}_{-0.004}^{+0.007} $$ − 0.063 − 0.004 + 0.007 (scale) ± 0 . 004 (MC stat.) respectively, and in agreement with the measurements.
Search for boosted diphoton resonances in the 10 to 70 GeV mass range using 138 fb−1 of 13 TeV pp collisions with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 20-07-2023
Abstract: A search for diphoton resonances in the mass range between 10 and 70 GeV with the ATLAS experiment at the Large Hadron Collider (LHC) is presented. The analysis is based on pp collision data corresponding to an integrated luminosity of 138 fb − 1 at a centre-of-mass energy of 13 TeV recorded from 2015 to 2018. Previous searches for diphoton resonances at the LHC have explored masses down to 65 GeV, finding no evidence of new particles. This search exploits the particular kinematics of events with pairs of closely spaced photons reconstructed in the detector, allowing examination of invariant masses down to 10 GeV. The presented strategy covers a region previously unexplored at hadron colliders because of the experimental challenges of recording low-energy photons and estimating the backgrounds. No significant excess is observed and the reported limits provide the strongest bound on promptly decaying axion-like particles coupling to gluons and photons for masses between 10 and 70 GeV.
Multistage Sedimentary and Metamorphic Origin of Pyrite and Gold in the Giant Sukhoi Log Deposit, Lena Gold Province, Russia
Publisher: Society of Economic Geologists
Date: 11-2007
Differential evolution algorithm for predicting blast induced ground vibrations
Publisher: Elsevier BV
Date: 07-2015
Observation of an Excess of Dicharmonium Events in the Four-Muon Final State with the ATLAS Detector
Publisher: American Physical Society (APS)
Date: 13-10-2023
Se and In minerals in the submarine oxidation zone of a massive sulfide orebody of the molodezhnoe copper–zinc massive sulfide deposit, Southern Urals
Publisher: Pleiades Publishing Ltd
Date: 03-2017
Search for pairs of muons with small displacements in pp collisions at s Publisher:
Elsevier BV
Date:
11-2023
Publisher: Elsevier BV
Date: 11-2023
Pyrite and Pyrrhotite Textures and Composition in Sediments, Laminated Quartz Veins, and Reefs at Bendigo Gold Mine, Australia: Insights for Ore Genesis
Publisher: Society of Economic Geologists
Date: 2011
An experimental study on tensile characteristics of granite rocks exposed to different high-temperature treatments
Publisher: Springer Science and Business Media LLC
Date: 2019
New techniques for jet calibration with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 28-07-2021
DOI: 10.1140/EPJC/S10052-023-11837-9
Abstract: A determination of the jet energy scale is presented using proton–proton collision data with a centre-of-mass energy of $$\\sqrt{s}=13$$ s = 13 TeV, corresponding to an integrated luminosity of 140 fb $$^{-1}$$ - 1 collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that combines charged-particle tracks and topo-clusters formed from energy deposits in the calorimeter cells. The anti- $$k_\\textrm{t}$$ k t jet algorithm with radius parameter $$R=0.4$$ R = 0.4 is used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the foundation for the jet calibration in Run 3. Jets are calibrated with a series of simulation-based corrections, including state-of-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better performance than the baseline calibration derived using up to 81 fb $$^{-1}$$ - 1 of Run 2 data. The performance of these new techniques is then examined in the in situ measurements by exploiting the transverse momentum balance between a jet and a reference object. The b -quark jet energy scale using particle flow jets is measured for the first time with around 1% precision using $$\\gamma $$ γ +jet events.
Mineral Composition and Grain Size Effects on the Fracture and Acoustic Emission (AE) Characteristics of Rocks Under Compressive and Tensile Stress
Publisher: Springer Science and Business Media LLC
Date: 22-07-2022
DOI: 10.1007/S00603-022-02980-Y
Abstract: The influence of rock mineral composition and mineral grain size on basic rock strength performance and AE characteristics have been studied, 13 different rocks microstructures are analyzed in an optical microscope thin section using petrographic image analysis, making it possible to determine the mineral composition and mineral texture characteristics of rocks. Then, the basic strength parameters of rock and AE signals generated during fracture propagation were obtained by UCT (uniaxial compression test) and BIT (Brazilian intension test). Finally, the relationship between basic strength parameters and AE characteristics of rock with mineral composition and grain size was analyzed. The results showed that different mineral constituents have significant effects on rock strength. The positive influence of plagioclase content on igneous strength was obtained. Sedimentary rocks strength increases initially and then decreases with the increase of plagioclase content. Besides, with the increase in quartz and K-feldspar content, the strength of the rock was weakened obviously. It is also found that the greater the dimensional deviation of mineral grain, the greater the strength of the rock. The strength of igneous rocks was inversely proportional to the mineral grain size, but there is no correlation between the sedimentary rocks strength and the mineral grain size. Furthermore, the tension–shear crack propagation of rock can effectively distinguish by judging that the data set of the AF–RA density graph was nearby the AF axis or RA axis and the peak frequency data sets of below 100 kHz or more than. Alterations in the rock nature are the main key reasons for the differences between AE hit rate, AE count rate, AE energy, and cumulative energy. The plagioclase content and grain size play a decisive role in AE signal characteristics and failure mode.
Development of a precise model for prediction of blast-induced flyrock using regression tree technique
Publisher: Springer Science and Business Media LLC
Date: 24-12-2016
Classification and regression tree technique in estimating peak particle velocity caused by blasting
Publisher: Springer Science and Business Media LLC
Date: 19-05-2016
Banded sulfide-magnetite ores of Mauk copper massive sulfide deposit, Central Urals: Composition and genesis
Publisher: Pleiades Publishing Ltd
Date: 05-2015
Stability Prediction of Residual Soil and Rock Slope Using Artificial Neural Network
Publisher: Hindawi Limited
Date: 30-04-2022
DOI: 10.1155/2022/4121193
Abstract: A sudden downward movement of the geomaterial, either composed of soil, rock, or a mixture of both, along the mountain slopes due to various natural or anthropogenic factors is known as a landslide. The Himalayan Mountain slopes are either made up of residual soil or rocks. Residual soil is formed from weathering of the bedrock and mainly occurs in gentle-to-moderate slope inclinations. In contrast, steep slopes are mostly devoid of soil cover and are primarily rocky. A stability prediction system that can analyse the slope under both the condition of the soil or rock surface is missing. In this study, artificial neural network technology has been utilised to predict the stability of jointed rock and residual soil slope of the Himalayan region. The database for the artificial neural network was obtained from numerical simulation of several residual soils and rock slope models. Nonlinear equations have been formulated by coding the artificial neural network algorithm. An android application has also been developed to predict the stability of residual soil and rock slope instantly. It was observed that the developed android app provides promising results in predicting the factor of safety and stability state of the slopes.
Mineralogical Features of Ore Diagenites in the Urals Massive Sulfide Deposits, Russia
Publisher: MDPI AG
Date: 28-02-2019
DOI: 10.3390/MIN9030150
Abstract: In weakly metamorphosed massive sulfide deposits of the Urals (Dergamysh, Yubileynoe, Yaman-Kasy, Molodezhnoe, Valentorskoe, Aleksandrinskoe, Saf’yanovskoe), banded sulfides (ore diagenites) are recognized as the products of seafloor supergene alteration (halmyrolysis) of fine-clastic sulfide sediments and further diagenesis leading to the formation of authigenic mineralization. The ore diagenites are sub ided into pyrrhotite-, chalcopyrite-, bornite-, sphalerite-, barite- and hematite-rich types. The relative contents of sphalerite-, bornite- and barite-rich facies increases in the progression from ultramafic (=Atlantic) to bimodal mafic (=Uralian) and bimodal felsic (=Baymak and Rudny Altay) types of massive sulfide deposits. The ore diagenites have lost primary features within the ore clasts and dominantly exhibit replacement and neo-formed nodular microtextures. The evolution of the mineralogy is dependent on the original primary composition, sizes and proportions of the hydrothermal ore clasts mixed with lithic serpentinite and hyaloclastic volcanic fragments together with carbonaceous and calcareous fragments. Each type of ore diagenite is characterized by specific rare mineral assemblages: Cu–Co–Ni sulfides are common in pyrrhotite-rich diagenites tellurides and selenides in chalcopyrite-rich diagenites minerals of the germanite group and Cu–Ag and Cu–Sn sulfides in bornite-rich diagenites abundant galena and sulfosalts in barite- and sphalerite-rich diagenites and erse tellurides characterize hematite-rich diagenites. Native gold in variable amounts is typical of all types of diagenites.
Inclusive and differential cross-sections for dilepton $$ t\overline{t} $$ production measured in $$ \sqrt{s} $$ = 13 TeV pp collisions with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 17-07-2023
Abstract: Differential and double-differential distributions of kinematic variables of leptons from decays of top-quark pairs ( $$ t\\overline{t} $$ t t ¯ ) are measured using the full LHC Run 2 data s le collected with the ATLAS detector. The data were collected at a pp collision energy of $$ \\sqrt{s} $$ s = 13 TeV and correspond to an integrated luminosity of 140 fb − 1 . The measurements use events containing an oppositely charged eμ pair and b -tagged jets. The results are compared with predictions from several Monte Carlo generators. While no prediction is found to be consistent with all distributions, a better agreement with measurements of the lepton p T distributions is obtained by reweighting the $$ t\\overline{t} $$ t t ¯ s le so as to reproduce the top-quark p T distribution from an NNLO calculation. The inclusive top-quark pair production cross-section is measured as well, both in a fiducial region and in the full phase-space. The total inclusive cross-section is found to be $$ {\\sigma}_{t\\overline{t}}=829\\pm 1\\ \\left(\\textrm{stat}\\right)\\pm 13\\ \\left(\\textrm{syst}\\right)\\pm 8\\ \\left(\\textrm{lumi}\\right)\\pm 2\\ \\left(\\textrm{beam}\\right)\\ \\textrm{pb}, $$ σ t t ¯ = 829 ± 1 stat ± 13 syst ± 8 lumi ± 2 beam pb , where the uncertainties are due to statistics, systematic effects, the integrated luminosity and the beam energy. This is in excellent agreement with the theoretical expectation.
Study of Trace Element Zonation in Vent Chimneys from the Silurian Yaman-Kasy Volcanic-Hosted Massive Sulfide Deposit (Southern Urals, Russia) Using Laser Ablation-Inductively Coupled Plasma Mass Spec
Publisher: Society of Economic Geologists
Date: 12-2009
Search for new phenomena in final states with photons, jets and missing transverse momentum in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 03-07-2023
Abstract: A search for new phenomena has been performed in final states with at least one isolated high-momentum photon, jets and missing transverse momentum in proton–proton collisions at a centre-of-mass energy of $$ \\sqrt{s} $$ s = 13 TeV. The data, collected by the ATLAS experiment at the CERN LHC, correspond to an integrated luminosity of 139 fb − 1 . The experimental results are interpreted in a supersymmetric model in which pair-produced gluinos decay into neutralinos, which in turn decay into a gravitino, at least one photon, and jets. No significant deviations from the predictions of the Standard Model are observed. Upper limits are set on the visible cross section due to physics beyond the Standard Model, and lower limits are set on the masses of the gluinos and neutralinos, all at 95% confidence level. Visible cross sections greater than 0.022 fb are excluded and pair-produced gluinos with masses up to 2200 GeV are excluded for most of the NLSP masses investigated.
Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting
Publisher: Springer Science and Business Media LLC
Date: 25-05-2016
Sulfide Breccias from the Semenov-3 Hydrothermal Field, Mid-Atlantic Ridge: Authigenic Mineral Formation and Trace Element Pattern
Publisher: MDPI AG
Date: 27-07-2018
DOI: 10.3390/MIN8080321
Abstract: The aim of this paper is the investigation of the role of diagenesis in the transformation of clastic sulfide sediments such as sulfide breccias from the Semenov-3 hydrothermal field (Mid-Atlantic Ridge). The breccias are composed of marcasite–pyrite clasts enclosed in a barite–sulfide–quartz matrix. Primary hydrothermal sulfides occur as colloform, fine-crystalline, porous and radial marcasite–pyrite clasts with inclusions or in idual clasts of chalcopyrite, sphalerite, pyrrhotite, bornite, barite and rock-forming minerals. Diagenetic processes are responsible for the formation of more erse authigenic mineralization including framboidal, ovoidal and nodular pyrite, coarse-crystalline pyrite and marcasite, anhedral and reniform chalcopyrite, inclusions of HgS phase and pyrrhotite–sphalerite–chalcopyrite aggregates in coarse-crystalline pyrite, zoned bornite–chalcopyrite grains, specular and globular hematite, tabular barite and quartz. The early diagenetic ovoid pyrite is enriched in most trace elements in contrast to late diagenetic varieties. Authigenic lower-temperature chalcopyrite is depleted in trace elements relative to high-temperature hydrothermal ones. Trace elements have different modes of occurrence: Se is hosted in pyrite and chalcopyrite Tl is related to sphalerite and galena nanoinclusions Au is associated with galena As in pyrite is lattice-bound, whereas in chalcopyrite it is related to tetrahedrite–tennantite nanoinclusions Cd in pyrite is hosted in sphalerite inclusions Cd in chalcopyrite forms its own mineral Co and Ni are hosted in chalcopyrite.
Drill and Blast Optimisation at an Underground Copper-Gold Mine
Publisher: Springer Nature Singapore
Date: 2022
A case study of grinding coarse 5 mm particles into sand grade particles less than 2.36 mm
Publisher: Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications)
Date: 04-12-2020
Abstract: This paper presents the viability study of utilising a rod or ball mill to grind a ‘5 mm grit’ to 100% passing 2.36 mm and fit in with a desired particle size analysis. The aim is to introduce this grit into the concrete grade sand produced at the Hanson owned Axedale Sand & Gravel quarry to reduce generated waste and improve the process efficiency. A ball mill and rod mill were used to grind the s les at an interval of 5 and 10 minutes. From the laboratory experimental analysis, it was found that a ball mill with 5 minutes grinding time in closed-circuit using a classifier to remove undersize and reintroduce oversize to the mill would be a viable option in an industrial setting. A Bond Ball Mill Grindability Test was undertaken to determine the grindability of the 5 mm grit, which served to determine the power (kWh/t) required to grind it to 100% passing 2.36 mm. The bond ball mill grindability test showed that the grit had a work index value of 17.66 kWh/t. This work index gives an actual work input of 13.54 kWh/t, meaning that for every ton of feed material introduced to the mill, 13.54 kWh of work input is required to grind it to 150 microns.
Intelligent Techniques for Prediction of Drilling Rate for Percussive Drills in Topically Weathered Limestone
Publisher: Springer Nature Singapore
Date: 2022
Search for dark matter produced in association with a Higgs boson decaying to tau leptons at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 26-09-2023
A new model based on gene expression programming to estimate air flow in a single rock joint
Publisher: Springer Science and Business Media LLC
Date: 25-04-2016
Comparative Evaluation of Empirical Approaches and Artificial Intelligence Techniques for Predicting Uniaxial Compressive Strength of Rock
Publisher: MDPI AG
Date: 28-09-2023
Prediction of thermal conductivity of rocks by soft computing
Publisher: Springer Science and Business Media LLC
Date: 11-05-2011
Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting
Publisher: Springer Science and Business Media LLC
Date: 25-03-2015
Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors
Publisher: Elsevier BV
Date: 09-2021
Prediction and Assessment of Rock Burst Using Various Meta-heuristic Approaches
Publisher: Springer Science and Business Media LLC
Date: 17-03-2021
Adaptive phase-field modelling of fracture propagation in poroelastic media using the scaled boundary finite element method
Publisher: Elsevier BV
Date: 06-2023
Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique
Publisher: Springer Science and Business Media LLC
Date: 18-12-2016
Observation of the
γ γ → τ
Publisher:
American Physical Society (APS)
Date:
31-01-2018
Publisher: American Physical Society (APS)
Date: 31-01-2018
An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass
Publisher: Elsevier BV
Date: 12-2021
Intermittency of Rock Fractured Surfaces: A Power Law
Publisher: MDPI AG
Date: 13-11-2022
DOI: 10.3390/W14223662
Abstract: Roughness of rock fractured surfaces is one of the most important factors controlling fluid flow in rock masses. Roughness quantification is of prime importance for modelling the flow of ground waters as well as reservoir fluid mechanics. In this study, with the aid of high-resolution 3D X-ray CT scanning and image processing techniques, the roughness of four different rock types is reconstructed with a resolution of 16.5 microns. Moreover, the correlation and structure functions are used to analyse height fluctuations as well as statistical intermittency of the studied rock fractured surfaces. It is observed that at length scales smaller than a critical length scale, fractures surfaces are correlated and show multifractality. Monofractals are neither intermittent nor correlated hence, a meaningful link between statistical intermittency and the correlation function of multifractals is expected. However, a model that considers this relationship and predicts multifractal spectra of disordered systems is still missing. A simple power law that can exactly forecast the multiscaling spectrum of rock fracture process zone is being introduced. It is explained how the exponent of this power function λi is related to the crossover length of correlation function ξ, and how this critical length scale can be objectively identified.
Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach
Publisher: Elsevier BV
Date: 12-2022
Stability evaluation of dump slope using artificial neural network and multiple regression
Publisher: Springer Science and Business Media LLC
Date: 09-03-2021
Recombinant human amyloid precursor‐like protein 2 (APLP2) expressed in the yeast Pichia pastoris can stimulate neurite outgrowth
Publisher: Wiley
Date: 08-01-1999
DOI: 10.1016/S0014-5793(98)01635-4
Abstract: The human amyloid precursor-like protein 2 (APLP2) is a member of the Alzheimer's disease amyloid precursor protein (APP) gene family. The human APLP2 ectodomain (sAPLP2) was expressed in the yeast Pichia pastoris and the recombinant sAPLP2 was purified from the culture medium in a single step by metal-chelating Sepharose chromatography. The neuritotrophic activity of APLP2 was compared to the APP isoforms sAPP695 and sAPP751 on chick sympathetic neurones. APLP2 had neurite outgrowth-promoting activity similar to that of the APP isoforms. This suggests that APP and APLP2 have a similar or related role and supports the idea of a redundancy in function between the APP-gene family proteins.
Measurement of the $$ {B}_s^0 $$ → μμ effective lifetime with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 28-09-2202
Stability prediction of underground entry-type excavations based on particle swarm optimization and gradient boosting decision tree
Publisher: Elsevier BV
Date: 04-2023
Search for a new heavy scalar particle decaying into a Higgs boson and a new scalar singlet in final states with one or two light leptons and a pair of τ-leptons with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 03-10-2023
Variables influencing the device-dependent approaches in digitally analysing jaw movement—a systematic review
Publisher: Springer Science and Business Media LLC
Date: 29-12-2022
Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations
Publisher: Elsevier BV
Date: 09-2021
Observation of Single-Top-Quark Production in Association with a Photon Using the ATLAS Detector
Publisher: American Physical Society (APS)
Date: 30-10-2023
Strong Constraints on Jet Quenching in Centrality-Dependent
p + Pb
Publisher: American Physical Society (APS)
Date: 16-08-2023
Search for high-mass Wγ and Zγ resonances using hadronic W/Z boson decays from 139 fb−1 of pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 14-07-2023
Abstract: A search for high-mass charged and neutral bosons decaying to Wγ and Zγ final states is presented in this paper. The analysis uses a data s le of $$ \\sqrt{s} $$ s = 13 TeV proton-proton collisions with an integrated luminosity of 139 fb − 1 collected by the ATLAS detector during LHC Run 2 operation. The sensitivity of the search is determined using models of the production and decay of spin-1 charged bosons and spin-0/2 neutral bosons. The range of resonance masses explored extends from 1.0 TeV to 6.8 TeV. At these high resonance masses, it is beneficial to target the hadronic decays of the W and Z bosons because of their large branching fractions. The decay products of the high-momentum W/Z bosons are strongly collimated and boosted-boson tagging techniques are employed to improve the sensitivity. No evidence of a signal above the Standard Model backgrounds is observed, and upper limits on the production cross-sections of these bosons times their branching fractions to Wγ and Zγ are derived for various boson production models.
Study of crack propagation in concrete under multiple loading rates by acoustic emission
Publisher: Springer Science and Business Media LLC
Date: 14-07-2017
Geological and geotechnical aspects of underground coal mining methods within Australia
Publisher: Springer Science and Business Media LLC
Date: 05-08-2010
Search for leptoquarks decaying into the bτ final state in pp collisions at $$ \sqrt{\textrm{s}} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 02-10-2023
Application of geogrids in waste dump stability: a numerical modeling approach
Publisher: Springer Science and Business Media LLC
Date: 15-10-2011
Development of Architecture of Autonomous Hydraulic Rock Breaker for Limestone Mines
Publisher: Springer Nature Singapore
Date: 2022
Application of Slope Mass Rating and Kinematic Analysis Along Road Cut Slopes in the Himalayan Terrain
Publisher: Springer Nature Singapore
Date: 2022
Prediction of Blast-Induced Ground Vibration at a Limestone Quarry: An Artificial Intelligence Approach
Publisher: MDPI AG
Date: 14-09-2022
DOI: 10.3390/APP12189189
Abstract: Ground vibration is one of the most unfavourable environmental effects of blasting activities, which can cause serious damage to neighboring homes and structures. As a result, effective forecasting of their severity is critical to controlling and reducing their recurrence. There are several conventional vibration predictor equations available proposed by different researchers but most of them are based on only two parameters, i.e., explosive charge used per delay and distance between blast face to the monitoring point. It is a well-known fact that blasting results are influenced by a number of blast design parameters, such as burden, spacing, powder factor, etc. but these are not being considered in any of the available conventional predictors and due to that they show a high error in predicting blast vibrations. Nowadays, artificial intelligence has been widely used in blast engineering. Thus, three artificial intelligence approaches, namely Gaussian process regression (GPR), extreme learning machine (ELM) and backpropagation neural network (BPNN) were used in this study to estimate ground vibration caused by blasting in Shree Cement Ras Limestone Mine in India. To achieve that aim, 101 blasting datasets with powder factor, average depth, distance, spacing, burden, charge weight, and stemming length as input parameters were collected from the mine site. For comparison purposes, a simple multivariate regression analysis (MVRA) model as well as, a nonparametric regression-based technique known as multivariate adaptive regression splines (MARS) was also constructed using the same datasets. This study serves as a foundational study for the comparison of GPR, BPNN, ELM, MARS and MVRA to ascertain their respective predictive performances. Eighty-one (81) datasets representing 80% of the total blasting datasets were used to construct and train the various predictive models while 20 data s les (20%) were utilized for evaluating the predictive capabilities of the developed predictive models. Using the testing datasets, major indicators of performance, namely mean squared error (MSE), variance accounted for (VAF), correlation coefficient (R) and coefficient of determination (R2) were compared as statistical evaluators of model performance. This study revealed that the GPR model exhibited superior predictive capability in comparison to the MARS, BPNN, ELM and MVRA. The GPR model showed the highest VAF, R and R2 values of 99.1728%, 0.9985 and 0.9971 respectively and the lowest MSE of 0.0903. As a result, the blast engineer can employ GPR as an effective and appropriate method for forecasting blast-induced ground vibration.
An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals
Publisher: Springer Science and Business Media LLC
Date: 06-2017
The Effect of Simplification Based on Words and Their Role in Approving or Rejecting Articles
Publisher: IEEE
Date: 12-2015
Artificial Neural Network as a Tool for Backbreak Prediction
Publisher: Springer Science and Business Media LLC
Date: 09-2014
Low amplitude fatigue performance of sandstone, marble, and granite under high static stress
Publisher: Springer Science and Business Media LLC
Date: 13-06-2021
Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
Publisher: Elsevier BV
Date: 10-2020
Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method
Publisher: Frontiers Media SA
Date: 24-01-2023
DOI: 10.3389/FPUBH.2023.1119580
Abstract: Pillar stability is an important condition for safe work in room-and-pillar mines. The instability of pillars will lead to large-scale collapse hazards, and the accurate estimation of induced stresses at different positions in the pillar is helpful for pillar design and guaranteeing pillar stability. There are many modeling methods to design pillars and evaluate their stability, including empirical and numerical method. However, empirical methods are difficult to be applied to places other than the original environmental characteristics, and numerical methods often simplify the boundary conditions and material properties, which cannot guarantee the stability of the design. Currently, machine learning (ML) algorithms have been successfully applied to pillar stability assessment with higher accuracy. Thus, the study adopted a back-propagation neural network (BPNN) and five elements including the sparrow search algorithm (SSA), gray wolf optimizer (GWO), butterfly optimization algorithm (BOA), tunicate swarm algorithm (TSA), and multi-verse optimizer (MVO). Combining metaheuristic algorithms, five hybrid models were developed to predict the induced stress within the pillar. The weight and threshold of the BPNN model are optimized by metaheuristic algorithms, in which the mean absolute error (MAE) is utilized as the fitness function. A database containing 149 data s les was established, where the input variables were the angle of goafline (A), depth of the working coal seam (H), specific gravity (G), distance of the point from the center of the pillar (C), and distance of the point from goafline (D), and the output variable was the induced stress. Furthermore, the predictive performance of the proposed model is evaluated by five metrics, namely coefficient of determination (R 2 ), root mean squared error (RMSE), variance accounted for (VAF), mean absolute error (MAE), and mean absolute percentage error (MAPE). The results showed that the five hybrid models developed have good prediction performance, especially the GWO-BPNN model performed the best (Training set: R 2 = 0.9991, RMSE = 0.1535, VAF = 99.91, MAE = 0.0884, MAPE = 0.6107 Test set: R 2 = 0.9983, RMSE = 0.1783, VAF = 99.83, MAE = 0.1230, MAPE = 0.9253).
Search for an axion-like particle with forward proton scattering in association with photon pairs at ATLAS
Publisher: Springer Science and Business Media LLC
Date: 31-07-2023
Abstract: A search for forward proton scattering in association with light-by-light scattering mediated by an axion-like particle is presented, using the ATLAS Forward Proton spectrometer to detect scattered protons and the central ATLAS detector to detect pairs of outgoing photons. Proton-proton collision data recorded in 2017 at a centre-of-mass energy of $$ \\sqrt{s} $$ s = 13 TeV were analysed, corresponding to an integrated luminosity of 14.6 fb − 1 . A total of 441 candidate events were selected. A search was made for a narrow resonance in the diphoton mass distribution, corresponding to an axion-like particle (ALP) with mass in the range 150–1600 GeV. No excess is observed above a smooth background. Upper limits on the production cross section of a narrow resonance are set as a function of the mass, and are interpreted as upper limits on the ALP production coupling constant, assuming 100% decay branching ratio into a photon pair. The inferred upper limit on the coupling constant is in the range 0.04–0.09 TeV − 1 at 95% confidence level.
Simultaneous slope design optimisation and stability assessment using a genetic algorithm and a fully automatic image‐based analysis
Publisher: Wiley
Date: 04-08-2022
DOI: 10.1002/NAG.3431
Abstract: Mine slope design is a complex task that requires consideration of geotechnical analysis, structural stability, economics and the environment. Economic factors usually drive mine slope design, particularly in the case of open‐pit designs, where the process of steepening slope walls by several degrees can have profound financial implications. Due to the risks associated with catastrophic slope collapse, slope stability analysis is an integral component of open‐pit engineering projects. However, initial design concepts and geotechnical assessments are often considered separately. In this study, a technique is developed that combines the scaled boundary finite element method (SBFEM) with genetic algorithms (GAs) to simultaneously perform slope stability analysis and optimise the slope profile. The iterative design approach optimises characteristics of the slope profile such as the slope height, width, angle and number of benches while ensuring the factor of safety (FoS) remains above a threshold value. A salient feature of the technique is the ability to automatically address the modifications to the geometry of the slope by updating the digital images used in the analysis to assess the stability of each instance in the optimisation process and determine the optimum slope geometry. The results highlight the application of the developed technique to determine appropriate slope excavation designs as well as slope backfilling scenarios. The method is exemplified in several cases where complex stratigraphies and spatially variable materials are considered. As such, the GA‐driven slope design process conveys an optimised, automated tool, combining mine slope design and slope stability analysis.
Search for third-generation vector-like leptons in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 13-07-2023
Abstract: A search for vector-like leptons in multilepton (two, three, or four-or-more electrons plus muons) final states with zero or more hadronic τ -lepton decays is presented. The search is performed using a dataset corresponding to an integrated luminosity of 139 fb − 1 of proton-proton collisions at a centre-of-mass energy of 13 TeV recorded by the ATLAS detector at the LHC. To maximize the separation of signal and background, a machine-learning classifier is used. No excess of events is observed beyond the Standard Model expectation. Using a doublet vector-like lepton model, vector-like leptons coupling to third-generation Standard Model leptons are excluded in the mass range from 130 GeV to 900 GeV at the 95% confidence level, while the highest excluded mass is expected to be 970 GeV.
Effect of strain rate on strength properties of low-calcium fly-ash-based geopolymer mortar under dry condition
Publisher: Springer Science and Business Media LLC
Date: 08-01-2013
Behaviour of Brittle Material in Multiple Loading Rates Under Uniaxial Compression
Publisher: Springer Science and Business Media LLC
Date: 21-04-2013
Application of an Expert System to Predict Maximum Explosive Charge Used Per Delay in Surface Mining
Publisher: Springer Science and Business Media LLC
Date: 07-02-2013
Enhancing diamond drilling performance by the addition of non-ionic polymer to the flushing media
Publisher: Elsevier BV
Date: 05-2010
Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations
Publisher: Springer Science and Business Media LLC
Date: 04-03-2021
Artificial Neural Networks as a Valuable Tool for Well Log Interpretation
Publisher: Informa UK Limited
Date: 02-08-2010
Evaluation of dump slope stability of a coal mine using artificial neural network
Publisher: Springer Science and Business Media LLC
Date: 20-08-2015
Evaluation of effect of blast design parameters on flyrock using artificial neural networks
Publisher: Springer Science and Business Media LLC
Date: 03-04-2013
Prediction of blast-induced air overpressure using a hybrid machine learning model and gene expression programming (GEP): A case study from an iron ore mine
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2023
Abstract: abstract Mine blasting can have a destructive effect on the environment. Among these effects, air overpressure (AOp) is a major concern. Therefore, a careful assessment of the AOp intensity should be conducted before any blasting operation in order to minimize the associated environmental detriment. Several empirical models have been established to predict and control AOp. However, the current empirical methods have many limitations, including low accuracy, poor generalizability, consideration only of linear relationships among influencing parameters, and investigation of only a few influencing parameters. Thus, the current research presents a hybrid model which combines an extreme gradient boosting algorithm (XGB) with grey wolf optimization (GWO) for accurately predicting AOp. Furthermore, an empirical model and gene expression programming (GEP) were used to assess the validity of the hybrid model (XGB-GWO). An analysis of 66 blastings with their corresponding AOp values and influential parameters was conducted to achieve the goals of this research. The efficiency of AOp prediction methods was evaluated in terms of mean absolute error (MAE), coefficient of determination (R sup /sup ), and root mean square error (RMSE). Based on the calculations, the XGB-GWO model has performed as well as the empirical and GEP models. Next, the most significant parameters for predicting AOp were determined using a sensitivity analysis. Based on the analysis results, stemming length and rock quality designation (RQD) were identified as two variables with the greatest influence. This study showed that the proposed XGB-GWO method was robust and applicable for predicting AOp driven by blasting operations. /abstract
Trace Element Content of Sedimentary Pyrite in Black Shales
Publisher: Society of Economic Geologists
Date: 13-07-2015
Stability prediction of a natural and man-made slope using various machine learning algorithms
Publisher: Elsevier BV
Date: 05-2022
Superiority of neural networks for pillar stress prediction in bord and pillar method
Publisher: Springer Science and Business Media LLC
Date: 07-11-2011
Experimental investigations on mechanical performance of rocks under fatigue loads and biaxial confinements
Publisher: Springer Science and Business Media LLC
Date: 10-2020
A Method to Improve Transparency of Electronic Election Process without Identification
Publisher: Elsevier BV
Date: 2015
Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at $$\sqrt{s}=13$$ TeV
Publisher: Springer Science and Business Media LLC
Date: 08-2023
DOI: 10.1140/EPJC/S10052-023-11584-X
Abstract: This paper presents the muon momentum calibration and performance studies for the ATLAS detector based on the pp collisions data s le produced at $$\\sqrt{s}$$ s = 13 TeV at the LHC during Run 2 and corresponding to an integrated luminosity of 139 $${\\textrm{fb}}^{-1}$$ fb - 1 . An innovative approach is used to correct for potential charge-dependent momentum biases related to the knowledge of the detector geometry, using the $$Z\\rightarrow \\mu ^{+}\\mu ^{-}$$ Z → μ + μ - resonance. The muon momentum scale and resolution are measured using s les of $$J/\\psi \\rightarrow \\mu ^{+}\\mu ^{-}$$ J / ψ → μ + μ - and $$Z\\rightarrow \\mu ^{+}\\mu ^{-}$$ Z → μ + μ - events. A calibration procedure is defined and applied to simulated data to match the performance measured in real data. The calibration is validated using an independent s le of $$\\Upsilon \\rightarrow \\mu ^{+}\\mu ^{-}$$ Υ → μ + μ - events. At the Z $$(J/\\psi )$$ ( J / ψ ) peak, the momentum scale is measured with an uncertainty at the 0.05% (0.1%) level, and the resolution is measured with an uncertainty at the 1.5% (2%) level. The charge-dependent bias is removed with a dedicated in situ correction for momenta up to 450 GeV with a precision better than 0.03 $${\\textrm{TeV}}^{-1}$$ TeV - 1 .
Measurements of the suppression and correlations of dijets in Xe+Xe collisions at
s <
Publisher: American Physical Society (APS)
Date: 09-08-2023
Inaugural dropped head syndrome and camptocormia in inflammatory myopathies: a retrospective study
Publisher: Oxford University Press (OUP)
Date: 18-07-2023
DOI: 10.1093/RHEUMATOLOGY/KEAD347
Abstract: Inaugural axial muscle involvement, defined as dropped head syndrome (DHS) and/or c tocormia (CC), is poorly described in inflammatory myopathies (IM). This study aimed to further characterize IM patients with inaugural DHS/CC, their outcome and care management. This retrospective study included IM patients diagnosed between 2000 and 2021. The main inclusion criterion was IM revealed by axial muscle deficit (DHS/CC). Twenty-seven patients were included median (IQR) age at first symptoms was 66.0 years (55.5–75.0) 21 were female (77.8%). There were nine IBM, 33.3%, nine overlap myositis (OM, 33.3%), five DM, 18.5%, two immune checkpoint inhibitor-related myositis (7.4%), one focal myositis (3.7%) and one myositis with anti-Hu antibodies (3.7%). Age at first symptoms was ≤70 years in 16 patients (59.3%), including all DM patients and 8/9 OM patients (88.9%). In this group, partial remission of the disease was obtained in 9/16 (56.3%) and complete remission in 1/16 patients (6.3%) regression of DHS/CC was achieved in 3/16 patients (18.8%). Conversely, in the group of 11 patients aged & years at first symptoms, there were eight IBM (72.7%). Partial remission was obtained in 5/11 patients (45.5%), the disease was stable in 6/11 patients (54.5%) no complete remission was obtained nor regression of DHS/CC. The analysis of IM patients with inaugural DHS/CC delineates two groups of patients according to the age at first symptoms in terms of clinical and outcome specificities, and proposes an adapted diagnostic and care management approach to prevent long-term complications.
Search for Majorana neutrinos in same-sign WW scattering events from pp collisions at $$\sqrt{s}=13$$ TeV
Publisher: Springer Science and Business Media LLC
Date: 23-01-2118
Barite-rich massive sulfides from the Semenov-1 hydrothermal field (Mid-Atlantic Ridge, 13°30.87′ N): Evidence for phase separation and magmatic input
Publisher: Elsevier BV
Date: 03-2014
Trace element content of sedimentary pyrite as a new proxy for deep-time ocean–atmosphere evolution
Publisher: Elsevier BV
Date: 03-2014
Application of soft computing in predicting rock fragmentation to reduce environmental blasting side effects
Publisher: Springer Science and Business Media LLC
Date: 23-11-2014
Correlating index properties of rocks with P-wave measurements
Publisher: Elsevier BV
Date: 05-2010
Experimental test and PFC3D simulation of the effect of a hole on the tensile behavior of concrete: A comparative analysis of four different hole shapes
Publisher: Informa UK Limited
Date: 08-02-2023
Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling
Publisher: Springer Science and Business Media LLC
Date: 12-03-2019
Comparison and application of top and bottom air decks to improve blasting operations
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2022
Abstract: abstract The blasting operation is an integral part of mines, and it is still being used as the most economical tool to fragment and displace rock mass. Appropriate blast optimization alleviates undesirable side effects, such as ground vibration, air blasts and flyrock, and it and enhances rock fragmentation. Blast optimization can also be effective in reducing the overall mining cost. One way of reducing blasting side effects is to use deck charges instead of continuous ones. The location of the deck(s) is still considered an unanswered question for many researchers. In this study, an investigation was carried out to find an appropriate air deck position(s) within the blast hole. For this, air decks were placed at three different positions (top, middle and bottom) within a blast hole at Cheshmeh-Parvar gypsum and Chah-Gaz iron ore mines to understand and evaluate air deck location impact on blast fragmentation and blast nuisances. The results were compared based on the existing blasting practices at both mines, as well as the air-deck blasting results. The results obtained from the blasting were very satisfactory it was found that charging with a top air deck, as compared to current blasting practices, causes a decrement in the specific charge, as well as a decrement of 38% in the back break and 50% in flyrock the average size of fragments obtained from blasting was increased by 26%. Thus, it can be said that the top air deck is more advantageous than the bottom air deck in terms of reducing undesired blasting consequences. /abstract
Estimating the mean cutting force of conical picks using random forest with salp swarm algorithm
Publisher: Elsevier BV
Date: 03-2023
Measurements of $$W^{+}W^{-}$$ production in decay topologies inspired by searches for electroweak supersymmetry
Publisher: Springer Science and Business Media LLC
Date: 10-08-2023
DOI: 10.1140/EPJC/S10052-023-11508-9
Abstract: This paper presents a measurement of fiducial and differential cross-sections for $$W^{+}W^{-}$$ W + W - production in proton–proton collisions at $$\\sqrt{s}=13$$ s = 13 TeV with the ATLAS experiment at the Large Hadron Collider using a dataset corresponding to an integrated luminosity of 139 fb $$^{-1}$$ - 1 . Events with exactly one electron, one muon and no hadronic jets are studied. The fiducial region in which the measurements are performed is inspired by searches for the electroweak production of supersymmetric charginos decaying to two-lepton final states. The selected events have moderate values of missing transverse momentum and the ‘stransverse mass’ variable $$m_{\\textrm{T2}}$$ m T2 , which is widely used in searches for supersymmetry at the LHC. The ranges of these variables are chosen so that the acceptance is enhanced for direct $$W^{+}W^{-}$$ W + W - production and suppressed for production via top quarks, which is treated as a background. The fiducial cross-section and particle-level differential cross-sections for six variables are measured and compared with two theoretical SM predictions from perturbative QCD calculations.
Performance Evaluation of Rockburst Prediction Based on PSO-SVM, HHO-SVM, and MFO-SVM Hybrid Models
Publisher: Springer Science and Business Media LLC
Date: 03-02-2023
A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
Publisher: Elsevier BV
Date: 08-2013
A study on environmental issues of blasting using advanced support vector machine algorithms
Publisher: Springer Science and Business Media LLC
Date: 23-02-2022
Effect of pH on the physico-mechanical properties of marble
Publisher: Springer Science and Business Media LLC
Date: 07-06-2006
Waveform features and failure patterns of hollow cylindrical sandstone specimens under repetitive impact and triaxial confinements
Publisher: Springer Science and Business Media LLC
Date: 30-09-2020
Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations
Publisher: Springer Science and Business Media LLC
Date: 05-08-2021
Experimental investigation and theoretical analysis of indentations on cuboid hard rock using a conical pick under uniaxial lateral stress
Publisher: Springer Science and Business Media LLC
Date: 22-01-2022
Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
Publisher: Springer Science and Business Media LLC
Date: 02-05-2016
Search for flavor-changing neutral-current couplings between the top quark and the
Z
Publisher: American Physical Society (APS)
Date: 30-08-2023
Evaluation and Assessment of Blast-Induced Ground Vibrations in an Underground Gold Mine: A Case Study
Publisher: Springer Science and Business Media LLC
Date: 21-09-2021
Variation on physico-mechanical properties of Kota stone under different watery environments
Publisher: Elsevier BV
Date: 12-2007
Covellite of the Semenov-2 hydrothermal field (13°31.13′ N, Mid-Atlantic Ridge): Enrichment in trace elements according to LA ICP MS analysis
Publisher: Pleiades Publishing Ltd
Date: 03-2017
Search for displaced photons produced in exotic decays of the Higgs boson using 13 TeV
p p
Publisher:
American Physical Society (APS)
Date:
21-08-2023
Publisher: American Physical Society (APS)
Date: 21-08-2023
A search for heavy Higgs bosons decaying into vector bosons in same-sign two-lepton final states in pp collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 26-07-2023
Abstract: A search for heavy Higgs bosons produced in association with a vector boson and decaying into a pair of vector bosons is performed in final states with two leptons (electrons or muons) of the same electric charge, missing transverse momentum and jets. A data s le of proton–proton collisions at a centre-of-mass energy of 13 TeV recorded with the ATLAS detector at the Large Hadron Collider between 2015 and 2018 is used. The data correspond to a total integrated luminosity of 139 fb − 1 . The observed data are in agreement with Standard Model background expectations. The results are interpreted using higher-dimensional operators in an effective field theory. Upper limits on the production cross-section are calculated at 95% confidence level as a function of the heavy Higgs boson’s mass and coupling strengths to vector bosons. Limits are set in the Higgs boson mass range from 300 to 1500 GeV, and depend on the assumed couplings. The highest excluded mass for a heavy Higgs boson with the coupling combinations explored is 900 GeV. Limits on coupling strengths are also provided.
Evidence of off-shell Higgs boson production from ZZ leptonic decay channels and constraints on its total width with the ATLAS detector
Publisher: Elsevier BV
Date: 11-2023
Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using $$ \sqrt{s} $$ = 13 TeV proton–proton collision data collected by the ATLAS detec
Publisher: Springer Science and Business Media LLC
Date: 26-07-2023
Abstract: A search for resonances in events with at least one isolated lepton ( e or μ ) and two jets is performed using 139 fb − 1 of $$ \\sqrt{s} $$ s = 13 TeV proton–proton collision data recorded by the ATLAS detector at the LHC. Deviations from a smoothly falling background hypothesis are tested in three- and four-body invariant mass distributions constructed from leptons and jets, including jets identified as originating from bottom quarks. Model-independent limits on generic resonances characterised by cascade decays of particles leading to multiple jets and leptons in the final state are presented. The limits are calculated using Gaussian shapes with different widths for the invariant masses. The multi-body invariant masses are also used to set 95% confidence level upper limits on the cross-section times branching ratios for the production and subsequent decay of resonances predicted by several new physics scenarios.
Measurement of the cross-sections of the electroweak and total production of a Zγ pair in association with two jets in pp collisions at
Publisher:
Elsevier BV
Date:
11-2023
Publisher: Elsevier BV
Date: 11-2023
Search for $$ t\overline{t}H/A\to t\overline{t}t\overline{t} $$ production in the multilepton final state in proton–proton collisions at $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 26-07-2023
Abstract: A search for a new heavy scalar or pseudo-scalar Higgs boson ( H/A ) produced in association with a pair of top quarks, with the Higgs boson decaying into a pair of top quarks ( H/A → $$ t\\overline{t} $$ t t ¯ ) is reported. The search targets a final state with exactly two leptons with same-sign electric charges or at least three leptons. The analysed dataset corresponds to an integrated luminosity of 139 fb − 1 of proton–proton collisions collected at a centre-of-mass energy of 13 TeV with the ATLAS detector at the LHC. Two multivariate classifiers are used to separate the signal from the background. No significant excess of events over the Standard Model expectation is observed. The results are interpreted in the context of a type-II two-Higgs-doublet model. The observed (expected) upper limits at 95% confidence level on the $$ t\\overline{t}H/A $$ t t ¯ H / A production cross-section times the branching ratio of H/A → $$ t\\overline{t} $$ t t ¯ range between 14 (10) fb and 6 (5) fb for a heavy Higgs boson with mass between 400 GeV and 1000 GeV, respectively. Assuming that only one particle, either the scalar H or the pseudo-scalar A , contributes to the $$ t\\overline{t}t\\overline{t} $$ t t ¯ t t ¯ final state, values of tan β below 1.2 or 0.5 are excluded for a mass of 400 GeV or 1000 GeV, respectively. These exclusion ranges increase to tan β below 1.6 or 0.6 when both particles are considered.
Measurement of the inclusive
t t ¯
Publisher: American Physical Society (APS)
Date: 18-08-2023
Evaluation and prediction of blast-induced ground vibration using support vector machine
Publisher: Elsevier BV
Date: 04-2010
Prediction of Backbreak in Open-Pit Blasting Operations Using the Machine Learning Method
Publisher: Springer Science and Business Media LLC
Date: 12-06-2012
Prediction of sea water intrusion for mining activity in close precincts of sea shore
Publisher: Springer Science and Business Media LLC
Date: 29-08-2013
Abstract: The mining lease area of Surka [District Bhavnagar, Gujarat (India)] is located within 6–12 km horizontal distance of sea shore of Gulf of Cambay. Whenever, there will be onset of lignite extraction, there will be always a threat of sea water intrusion into the mining lease area due to its close proximity to seashore. This article describes the prediction of sea water intrusion into the lease area of whole mining block using Ghyben-Herzberg relation between fresh and saline water, Remote Sensing, Ground Truth verification, Electrical Resistivity Survey and groundwater table monitored during the year 2004. As per the Ghyben-Herzberg relation, results show that there will not be sea water intrusion. If there is excess pumping of water then also the basement rock below the lignite seam will put hindrance to any possible upconing of saline water interface.
An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine, Iran
Publisher: Elsevier BV
Date: 02-2014
RETRACTED ARTICLE: Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models
Publisher: Springer Science and Business Media LLC
Date: 27-02-2016
Laboratory Investigations for the Role of Flushing Media in Diamond Drilling of Marble
Publisher: Springer Science and Business Media LLC
Date: 03-04-2011
The Lithium-Ion Battery Recycling Process from a Circular Economy Perspective—A Review and Future Directions
Publisher: MDPI AG
Date: 03-04-2023
DOI: 10.3390/EN16073228
Abstract: Ever since the introduction of lithium-ion batteries (LIBs) in the 1970s, their demand has increased exponentially with their applications in electric vehicles, smartphones, and energy storage systems. To cope with the increase in demand and the ensuing environmental effects of excessive mining activities and waste production, it becomes crucial to explore ways of manufacturing LIBs from the resources that have already been extracted from nature. It is possible by promoting the re-usage, refurbishing, and recycling of the batteries and their constituent components, rethinking the fundamental design of devices using these batteries, and introducing the circular economy model in the battery industry. This paper through a literature review provides the current state of CE adoption in the lithium-ion battery industry. The review suggests that the focus is mostly on recycling at this moment in the battery industry, and a further understanding of the process is needed to better adapt to other CE practices such as reuse, remanufacture, refurbishment, etc. The paper also provides the steps involved in the recycling process and, through secondary case studies, shows how some of the industries are currently approaching battery recycling. Thus, this paper, through review and secondary cases, helps us to understand the current state of LIB recycling and CE adoption.
Positive biodiversity-productivity relationship predominant in global forests
Publisher: American Association for the Advancement of Science (AAAS)
Date: 14-10-2016
Abstract: The relationship between bio ersity and ecosystem productivity has been explored in detail in herbaceous vegetation, but patterns in forests are far less well understood. Liang et al. have amassed a global forest data set from ,000 s le plots in 44 countries. A positive and consistent relationship can be discerned between tree ersity and ecosystem productivity at landscape, country, and ecoregion scales. On average, a 10% loss in bio ersity leads to a 3% loss in productivity. This means that the economic value of maintaining bio ersity for the sake of global forest productivity is more than fivefold greater than global conservation costs. Science , this issue p. 196
A true triaxial strength criterion for rocks by gene expression programming
Publisher: Elsevier BV
Date: 10-2023
An intelligent approach to evaluate drilling performance
Publisher: Springer Science and Business Media LLC
Date: 20-10-2010
Search for resonant WZ production in the fully leptonic final state in proton–proton collisions at $$\mathbf {\sqrt{s} = 13}$$ TeV with the ATLAS detector
Publisher: Springer Science and Business Media LLC
Date: 18-07-2023
DOI: 10.1140/EPJC/S10052-023-11437-7
Abstract: A search for a WZ resonance, in the fully leptonic final state (electrons or muons), is performed using 139 fb $$^{-1}$$ - 1 of data collected at a centre-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. The results are interpreted in terms of a singly charged Higgs boson of the Georgi–Machacek model, produced by WZ fusion, and of a Heavy Vector Triplet, with the resonance produced by WZ fusion or the Drell–Yan process. No significant excess over the Standard Model prediction is observed and limits are set on the production cross-section times branching ratio as a function of the resonance mass for these processes.
Measurement of Suppression of Large-Radius Jets and Its Dependence on Substructure in
Pb +<
Publisher: American Physical Society (APS)
Date: 23-10-2023
Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
Publisher: Springer Science and Business Media LLC
Date: 22-06-2023
DOI: 10.1007/S13369-023-07962-Y
Abstract: California bearing ratio (CBR) test is one of the comprehensive tests used for the last few decades to design the pavement thickness of roadways, railways and airport runways. Laboratory-performed CBR test is considerably rigorous and time-taking. In a quest for an alternative solution, this study utilizes novel computational approaches, including the kernel ridges regression, K-nearest neighbor and Gaussian process regression (GPR), to predict the soaked CBR value of soils. A vast quantity of 1011 in situ soil s les were collected from an ongoing highway project work site. Two data isional approaches, i.e., K-Fold and fuzzy c-means (FCM) clustering, were used to separate the dataset into training and testing subsets. Apart from the numerous statistical performance measurement indices, ranking and overfitting analysis were used to identify the best-fitted CBR prediction model. Additionally, the literature models were also tried to validate through present study datasets. From the results of Pearson’s correlation analysis, Sand, Fine Content, Plastic Limit, Plasticity Index, Maximum Dry Density and Optimum Moisture Content were found to be most influencing input parameters in developing the soaked CBR of fine-grained plastic soils. Experimental results also establish the proficiency of the GPR model developed through FCM and K-Fold data ision approaches. The K-Fold data ision approach was found to be helpful in removing the overfitting of the models. Furthermore, the predictive ability of any model is considerably influenced by the geological location of the soils/materials used for the model development.
Integrated and differential fiducial cross-section measurements for the vector boson fusion production of the Higgs boson in the
Publisher:
American Physical Society (APS)
Date:
11-10-2023
Publisher: American Physical Society (APS)
Date: 11-10-2023
Related Organisations
Maharana Pratap University Of Agriculture And Technology College Of Technology And Engineering
Location: India
Related Funding Activities
No related grants have been discovered for Manoj Khandelwal.