ORCID Profile
0000-0003-3549-0671
Current Organisations
Nikola Vaptsarov Naval Academy
,
University of Tasmania
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Related Links
Publications
Functional Evaluation of the Structural Features of Proteases and Their Substrate in Fibrin Surface Degradation
Publisher: Elsevier BV
Date: 05-1997
Model of a measuring system for station-keeping in air-traffic
Publisher: Elsevier BV
Date: 10-2004
Monte Carlo Statistical Tests for Identity of Theoretical and Empirical Distributions of Experimental Data
Publisher: InTech
Date: 06-03-2013
DOI: 10.5772/53049
Numerical Version of the Non-Uniform Method for Finding Point Estimates of Uncertain Scaling Constants
Publisher: IGI Global
Date: 2013
DOI: 10.4018/978-1-4666-3942-3.CH013
Abstract: The chapter focuses on the analysis of scaling constants when constructing a utility function over multi-dimensional prizes. Due to fuzzy rationality, those constants are elicited in an interval form. It is assumed that the decision maker has provided additional information describing the uncertainty of the scaling constants’ values within their uncertainty interval. The non-uniform method is presented to find point estimates of the interval scaling constants and to test their unit sum. An analytical solution of the procedure to construct the distribution of the interval scaling constants is provided, along with its numerical realization. A numerical procedure to estimate pvalue of the statistical test is also presented. The method allows making an uncertainty description of constants through different types of probability distributions and fuzzy sets.
Imputing missing values of environmental multi-dimensional vectors using a modified Roweis algorithm
Publisher: Unpublished
Date: 2012
Application of an internet-based tool for visualizaton of multi-dimensional objects with missing data in maritime education
Publisher: Unpublished
Date: 2012
Phospholipid Barrier to Fibrinolysis
Publisher: Elsevier BV
Date: 09-2004
Uncertain equivalence method for continuous one-dimensional utility elicitation
Publisher: Elsevier BV
Date: 09-2007
Neutrophil extracellular traps in thrombi retrieved during interventional treatment of ischemic arterial diseases
Publisher: Elsevier BV
Date: 03-2019
DOI: 10.1016/J.THROMRES.2019.01.006
Abstract: The ultrastructure and cellular composition of thrombi has a profound effect on the outcome of acute ischemic stroke (AIS), coronary (CAD) and peripheral artery disease (PAD). Activated neutrophils release a web-like structure composed mainly of DNA and citrullinated histones, called neutrophil extracellular traps (NET) that modify the stability and lysability of fibrin. Here, we investigated the NET-related structural features of thrombi retrieved from different arterial localizations and their interrelations with routinely available clinical data. Thrombi extracted from AIS (n = 78), CAD (n = 66) or PAD (n = 64) patients were processed for scanning electron microscopy, (immune)stained for fibrin, citrullinated histone H3 (cH3) and extracellular DNA. Fibrin fiber diameter, cellular components, DNA and cH3 were measured and analyzed in relation to clinical parameters. DNA was least present in AIS thrombi showing a 2.5-fold lower DNA/fibrin ratio than PAD, whereas cH3 antigen was unvaryingly present at all locations. The NET content of thrombi correlated parabolically with systemic inflammatory markers and positively with patients' age. The median platelet content was lower in PAD (2.2%) than in either AIS (3.9%) or CAD (3.1%) and thrombi from smokers contained less platelets than non-smokers. Fibrin fibers were significantly thicker in male patients with CAD (median fiber diameter 76.3 nm) compared to AIS (64.1 nm) or PAD (62.1 nm) and their diameter correlated parabolically with systemic inflammatory markers. The observed NET-related variations in thrombus structure shed light on novel determinants of thrombus stability that eventually affect both the spontaneous progress and therapeutic outcome of ischemic arterial diseases.
Ranking discrete outcome alternatives with partially quantified uncertainty
Publisher: Informa UK Limited
Date: 04-2008
Optimising The Reference Point Within A Journal Bearing Using Laser Alignment
Publisher: Az-buki National Publishing House
Date: 31-08-2021
Abstract: This paper observes different alignment conditions in a journal-bearing-supported machine (i.e. propeller bearings within the stern tube of a marine vessel). A test rig is built so that the driven machine has fixed supports, roller bearings in an electrical motor. An alignment tolerance is met at the coupling of the journal, which is positioned within three journal bearings. This research can be applied to any industry with machines of the same characteristic. The journal bearings are designed to simulate the large tolerance seen in a vessel’s stern tube only for lubrication control oil is used for the bush bearings. Various sensors are placed on the test rig to record data for later machine analysis. Using proximity probes and accelerometers the vibration of the journals and ball bearings can be visualised using orbital plotting and Fast Fourier Transform (FFT) through both LabVIEW and MATLAB respectively. Four alignment procedures are applied to the coupling using a laser unit. The first two will be so that the offset and angular misalignment is produced in the FFT spectrums as per ISO10816 Mechanical vibration so that a reference point is formed for the test rig. The other two alignment procedures represent current industry practice. These procedures are then compared to see which is the preferred reference point that will optimise the reliability value of a whole system. Finding the procedure with minimal vibration will increase the design life of housing structures for such machines, which will increase the overall profit of the shipping industry. Our developments and procedures will be further utilized in practical classes to improve maritime engineering education.
Fuzzy rationality in the elicitation of subjective probabilities
Publisher: IEEE
Date: 2004
Case study on relocation of port pnfrastructure using the Randomized Expert Panel Opinion Marginalizing Procedure
Publisher: IOP Publishing
Date: 03-2020
DOI: 10.1088/1757-899X/797/1/012035
Abstract: We present a case study related to the relocation of parts of port facilities in a Black sea port in Varna (Bulgaria). As the city and the port expanded over the years, the east sector of the port ended up being in the middle of the city center. This causes environmental and spatial planning problems to both the city and the port area. We present several alternatives to relocate part of the industrial activities of the port to another site further to the west sector of the port and utilize the emptied space for recreational, public and social activities. We then apply the Randomized Expert Panel Opinion Marginalizing Procedure (REPOMP) to rank the alternatives. The procedure utilizes a hierarchy of criteria to assess the alternatives from four major aspects – environmental, social, technological and economical. A total of 12 experts provided their estimates on how the alternatives meet all criteria as well as on the relative significance of each criterion. Bootstrap simulation is utilized to not only find the total marginal criterion of each alternative, but also its distribution and best estimate. We also tested whether there is significant difference between the ranking scores of the alternatives.
Ultrastructure and composition of thrombi in coronary and peripheral artery disease: correlations with clinical and laboratory findings
Publisher: Elsevier BV
Date: 04-2015
DOI: 10.1016/J.THROMRES.2015.02.004
Abstract: Fibrin structure and cellular composition of thrombi profoundly affect the clinical outcomes in ischemic coronary and peripheral artery disease. Our study addressed the interrelations of structural features of thrombi and routinely measured laboratory parameters. Thrombi removed by thromboaspiration following acute myocardial infarction (n=101) or thrombendarterectomy of peripheral arteries (n=50) were processed by scanning electron microscopy and immunostaining for fibrin and platelet antigen GPIIb/IIIa to determine fibrin fibre diameter and relative occupancy by fibrin and cells. Correlations between the structural characteristics and selected clinical parameters (age, sex, vascular localization, blood cell counts, ECG findings, antiplatelet medication, accompanying diseases, smoking) were assessed. We observed significant differences in mean fibre diameter (122 vs. 135 nm), fibrin content (70.5% vs. 83.9%), fluorescent fibrin latelet coverage ratio (0.18 vs. 1.06) between coronary and peripheral thrombi. Coronary thrombi from smokers contained more fibrin than non-smokers (78.1% vs. 62.2% mean occupancy). In the initial 24 h, fibrin content of coronary thrombi decreased with time, whereas in peripheral thrombi platelet content increased in the first 7 days. In coronaries, higher platelet content and smaller vessel diameter were associated with thinner fibrin fibres, whereas hematocrit higher than 0.35 correlated with larger intrathrombotic platelet occupancy. Smoking and dyslipidaemia strengthened the dependence of clot platelet content on systemic platelet count (the adjusted determination coefficient increased from 0.33 to 0.43 and 0.65, respectively). Easily accessible clinical parameters could be identified as significant determinants of ultrastructure and composition of coronary and peripheral thrombi.
Fuzzy rationality in the elicitation of subjective quantiles
Publisher: IEEE
Date: 2004
Neutrophils and neutrophil extracellular traps enhance venous thrombosis in mice bearing human pancreatic tumors
Publisher: Ferrata Storti Foundation (Haematologica)
Date: 02-05-2019
Simulation and discrete event optimization for automated decisions for in-queue flights
Publisher: Hindawi Limited
Date: 2010
DOI: 10.1002/INT.20407
Formalized procedure for ranking alternatives in developing environmental programs
Publisher: Elsevier BV
Date: 05-2004
Fuzzy rationality implementation in financial decision making
Publisher: Springer Berlin Heidelberg
Date: 2014
Using fuzzy sets in surgical treatment selection and homogenizing stratification of patients with significant chronic ischemic mitral regurgitation
Publisher: Springer Science and Business Media LLC
Date: 2019
Outlier Detection Algorithms Over Fuzzy Data with Weighted Least Squares
Publisher: Springer Science and Business Media LLC
Date: 30-04-2021
Justification and numerical realization of the uniform method for finding point estimates of interval elicited scaling constants
Publisher: Springer Science and Business Media LLC
Date: 25-04-2008
Optimizing in-queue flight regimes
Publisher: IEEE
Date: 09-2006
Non-Transitive Binary Relation of Preference in the Case of Random Value Functions, Derived from REPOMP
Publisher: Atlantis Press
Date: 2013
DOI: 10.2991/.2013.31
Fractal Kinetic Behavior of Plasmin on the Surface of Fibrin Meshwork
Publisher: American Chemical Society (ACS)
Date: 26-09-2014
DOI: 10.1021/BI500661M
Abstract: Intravascular fibrin clots are resolved by plasmin acting at the interface of gel phasesubstrate and fluid-borne enzyme. The classic Michaelis.Menten kinetic scheme cannot describe satisfactorily this heterogeneous-phase proteolysis because it assumes homogeneous well-mixed conditions. A more suitable model for these spatial constraints,known as fractal kinetics, includes a time-dependence of the Michaelis coefficient Km(F) = Km0F (1+ t)h, where h is a fractal exponent of time, t. The aim of the present study was to build up and experimentally validate a mathematical model for surface-acting plasmin that can contribute to a better understanding of the factors that influence fibrinolytic rates. The kinetic model was fitted to turbidimetric data for fibrinolysis under various conditions. The model predicted Km0(F) = 1.98 μM and h = 0.25 for fibrin composed of thin fibers and Km0(F) = 5.01 μM and h = 0.16 for thick fibers in line with a slower macroscale lytic rate (due to a stronger clustering trend reflected in the h value) despite faster cleavage of in idual thin fibers (seen as lower Km0(F) ). ε-Aminocaproic acid at 1 mM or 8 U/mL carboxypeptidase-B eliminated the time-dependence of Km F and increased the lysis rate suggesting a role of C-terminal lysines in the progressive clustering of plasmin. This fractal kinetic concept gained structural support from imaging techniques. Atomic force microscopy revealed significant changes in plasmin distribution on a patterned fibrinogen surface in line with the time-dependent clustering of fluorescent plasminogen in confocal laser microscopy. These data from complementary approaches support a mechanism for loss of plasmin activity resulting from C-terminal lysine-dependent redistribution of enzyme molecules on the fibrin surface.
A Fuzzy-Based Risk Assessment Framework for Autonomous Underwater Vehicle Under-Ice Missions.
Publisher: Wiley
Date: 18-07-2019
DOI: 10.1111/RISA.13376
Abstract: The use of autonomous underwater vehicles (AUVs) for various scientific, commercial, and military applications has become more common with maturing technology and improved accessibility. One relatively new development lies in the use of AUVs for under-ice marine science research in the Antarctic. The extreme environment, ice cover, and inaccessibility as compared to open-water missions can result in a higher risk of loss. Therefore, having an effective assessment of risks before undertaking any Antarctic under-ice missions is crucial to ensure an AUV's survival. Existing risk assessment approaches predominantly focused on the use of historical fault log data of an AUV and elicitation of experts' opinions for probabilistic quantification. However, an AUV program in its early phases lacks historical data and any assessment of risk may be vague and ambiguous. In this article, a fuzzy-based risk assessment framework is proposed for quantifying the risk of AUV loss under ice. The framework uses the knowledge, prior experience of available subject matter experts, and the widely used semiquantitative risk assessment matrix, albeit in a new form. A well-developed ex le based on an upcoming mission by an ISE-explorer class AUV is presented to demonstrate the application and effectiveness of the proposed framework. The ex le demonstrates that the proposed fuzzy-based risk assessment framework is pragmatically useful for future under-ice AUV deployments. Sensitivity analysis demonstrates the validity of the proposed method.
Health risk assessment of engine exhaust emissions within Australian ports: a case study of Port of Brisbane
Publisher: Informa UK Limited
Date: 02-01-2019
An improved emission inventory method for estimating engine exhaust emissions from ships
Publisher: Springer Science and Business Media LLC
Date: 11-2018
Applications of Monte Carlo Simulation in Modelling of Biochemical Processes
Publisher: InTech
Date: 28-02-2011
DOI: 10.5772/14984
Understanding Near-miss Count Data on Construction Sites using Greedy D-vine Copula Marginal Regression: A Comment
Publisher: Elsevier BV
Date: 2021
Free Fatty Acids Modulate Thrombin Mediated Fibrin Generation Resulting in Less Stable Clots
Publisher: Public Library of Science (PLoS)
Date: 12-12-2016
Expected utility analysis of infinite compound lotteries
Publisher: Informa UK Limited
Date: 30-11-2019
Empirical testing of inventories applying on-board measurements of exhaust emissions at port and at sea
Publisher: Centre of Sociological Research, NGO
Date: 29-11-2018
DOI: 10.14254/JSDTL.2018.3-2.1
Abstract: We present a comprehensive case study to identify the best vessel-specific inventory family that predicts the primary emissions from an ocean-going vessel when at berth, while maneuvering and while cruising. The main purpose of the paper is to generalize the implication of the case study by advising a novel policy, which will allow different authorities to estimate the shipping emissions in a cost-effective and reliable way. The emissions rates of nitrogen oxides, sulphur oxides, carbon dioxide, carbon monoxide, hydrocarbon, and particulate matter from the main engine and from the auxiliary engines are measured for different modes of ship operations in an on-board experiment c aign. The measured total emission amounts were predicted with 13 families of emission inventories and prediction deviations have been calculated. A procedure was advised for estimating the prediction inventory deviations of the combined hourly emission amounts from the main engine plus the auxiliary engines. Each inventory family has been formalized as a six-dimensional vector of prediction deviations for any mode of operation. The best vessel-specific inventory families were identified using the minimal mean absolute deviation criteria. A more rational procedure to rank inventories is considered, which treats the missing value problem and constructs a six-attribute value function. The use of preferential analysis and value functions further clarifies the recommended choice of inventory method. In this case study we demonstrated that the most suitable inventory families will provide reliable predictions with acceptable deviations from the measured emissions. At berth and for maneuvering, the best inventory family turned out to be MOPSEA (with 32.2% and 39.6% mean absolute deviations respectively). For cruising, the most precise inventory family is MEET (with 59.2% mean absolute deviation), whereas MOPSEA being the third best. However, some of the other inventories produce unacceptably high deviation, well above 100%. The practical implication is that while inventory methods can produce precise and cost-effective predictions, they should never be used without experimental verification. That is why, we provide an algorithm to use on-board experimental measurements to identify the best vessel-specific inventory family, which predicts the primary emission of a ship at a given mode of operation. The proposed algorithm and the implications of the case study are utilized to motivate a proposal for a novel future policy for a cost-effective and reliable emission estimation from shipping.
Human Error in Autonomous Underwater Vehicle Deployment: A System Dynamics Approach
Publisher: Wiley
Date: 06-03-2020
DOI: 10.1111/RISA.13467
Ambivalent roles of carboxypeptidase B in the lytic susceptibility of fibrin
Publisher: Elsevier BV
Date: 2014
Lytic Resistance of Fibrin Containing Red Blood Cells
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 10-2011
DOI: 10.1161/ATVBAHA.111.229088
Abstract: Arterial thrombi contain variable amounts of red blood cells (RBCs), which interact with fibrinogen through an eptifibatide-sensitive receptor and modify the structure of fibrin. In this study, we evaluated the modulator role of RBCs in the lytic susceptibility of fibrin. If fibrin is formed at increasing RBC counts, scanning electron microscopy evidenced a decrease in fiber diameter from 150 to 96 nm at 40% (v/v) RBCs, an effect susceptible to eptifibatide inhibition (restoring 140 nm diameter). RBCs prolonged the lysis time in a homogeneous-phase fibrinolytic assay with tissue plasminogen activator (tPA) by up to 22.7±1.6%, but not in the presence of eptifibatide. Confocal laser microscopy using green fluorescent protein–labeled tPA and orange fluorescent fibrin showed that 20% to 40% (v/v) RBCs significantly slowed down the dissolution of the clots. The fluorescent tPA variant did not accumulate on the surface of fibrin containing RBCs at any cell count above 10%. The presence of RBCs in the clot suppressed the tPA-induced plasminogen activation, resulting in 45% less plasmin generated after 30 minutes of activation at 40% (v/v) RBCs. RBCs confer lytic resistance to fibrin resulting from modified fibrin structure and impaired plasminogen activation through a mechanism that involves eptifibatide-sensitive fibrinogen-RBC interactions.
Technical diagnostic system in the maintenance of turbomachinery for ammonia synthesis in the process industries
Publisher: Elsevier BV
Date: 03-2019
Uses and misuses of progress curve analysis in enzyme kinetics
Publisher: Walter de Gruyter GmbH
Date: 30-09-2008
DOI: 10.2478/S11535-008-0035-4
Abstract: Progress curve analysis is a convenient tool for the characterization of enzyme action: a single reaction mixture provides multiple experimental measured points for continuously varying amounts of substrates and products with exactly the same enzyme and modulator concentrations. The determination of kinetic parameters from the progress curves, however, requires complex mathematical evaluation of the time-course data. Some freely available programs (e.g. FITSIM, DYNAFIT) are widely applied to fit kinetic parameters to user-defined enzymatic mechanisms, but users often overlook the stringent requirements of the analytic procedures for appropriate design of the input experiments. Flaws in the experimental setup result in unreliable parameters with consequent misinterpretation of the biological phenomenon under study. The present commentary suggests some helpful mathematical tools to improve the analytic procedure in order to diagnose major errors in concept and design of kinetic experiments.
Guest Editorial: Intelligent systems
Publisher: Informa UK Limited
Date: 07-2010
LOCAL RISK PRONENESS IN ANALYTICALLY APPROXIMATED UTILITY FUNCTIONS UNDER MONOTONICALLY DECREASING PREFERENCES
Publisher: Prof. Marin Drinov Publishing House of Bulgarian Academy of Sciences
Date: 30-11-2018
Kinetic parameters of thrombin in the presence of free fatty acids
Publisher: Public Library of Science (PLoS)
Date: 2016
Effect of free fatty acids on the viscoelasticity of fibrin clots
Publisher: Public Library of Science (PLoS)
Date: 2016
Fuzzy-rational betting on sport games with interval probabilities
Publisher: Springer Berlin Heidelberg
Date: 2008
Fuzzy rationality and parameter elicitation in decision analysis
Publisher: Informa UK Limited
Date: 07-2010
Reliability Simulation of Two Component Warm-Standby System with Repair, Switching, and Back-Switching Failures under Three Aging Assumptions
Publisher: MDPI AG
Date: 11-10-2021
DOI: 10.3390/MATH9202547
Abstract: We analyze the influence of repair on a two-component warm-standby system with switching and back-switching failures. The repair of the primary component follows a minimal process, i.e., it experiences full aging during the repair. The backup component operates only while the primary component is being repaired, but it can also fail in standby, in which case there will be no repair for the backup component (as there is no indication of the failure). Four types of system failures are investigated: both components fail to operate in a different order or one of two types of switching failures occur. The reliability behavior of the system is investigated under three different aging assumptions for the backup component during warm-standby: full aging, no aging, and partial aging. Four failure and repair distributions determine the reliability behavior of the system. We analyzed two cases—in the First Case, we utilized constant failure rate distributions. In the Second Case, we applied the more realistic time-dependent failure rates. We used three methods to identify the reliability characteristics of the system: analytical, numerical, and simulational. The analytical approach is limited and only viable for constant failure rate distributions i.e., the First Case. The numerical method integrates simultaneous Algebraic Differential Equations. It produces a solution in the First Case under any type of aging, and in the Second Case but only under the assumption of full aging in warm-standby. On the other hand, the developed simulation algorithms produce solutions for any set of distributions (i.e., the First Case and the Second Case) under any of the three aging assumptions for the backup component in standby. The simulation solution is quantitively verified by comparison with the other two methods, and qualitatively verified by comparing the solutions under the three aging assumptions. It is numerically proven that the full aging and no aging solutions could serve as bounds of the partial aging case even when the precise mechanism of partial aging is unknown.
Bootstrap Testing of Central Tendency Nullity Over Paired Fuzzy Samples
Publisher: Springer Science and Business Media LLC
Date: 22-08-2021
Eliciting parameters in decision analysis and fuzzy rationality
Publisher: IEEE
Date: 09-2008
Novel methods to construct empirical CDF for continuous random variables using censor data
Publisher: IEEE
Date: 08-2020
Solutions with fuzzy-rational generalized lotteries of III type with a one-dimensional parameter
Publisher: IEEE
Date: 07-2010
Expected utility of a one-dimensional classical risky generalized lottery of I and III type with linearly interpolated CDF
Publisher: IEEE
Date: 07-2010
Bootstrap tests for mean value differences over fuzzy samples
Publisher: Elsevier BV
Date: 2015
Fuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic.
Publisher: Wiley
Date: 04-12-2020
DOI: 10.1111/RISA.13429
Abstract: With the maturing of autonomous technology and better accessibility, there has been a growing interest in the use of autonomous underwater vehicles (AUVs). The deployment of AUVs for under-ice marine science research in the Antarctic is one such ex le. However, a higher risk of AUV loss is present during such endeavors due to the extreme operating environment. To control the risk of loss, existing risk analyses approaches tend to focus more on the AUV's technical aspects and neglect the role of soft factors, such as organizational and human influences. In addition, the dynamic and complex interrelationships of risk variables are also often overlooked due to uncertainties and challenges in quantification. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. In the FuSDRA framework, system dynamics models the interrelationships between risk variables from different dimensions and considers the time-dependent nature of risk while fuzzy logic accounts for uncertainties. To demonstrate its application, an ex le based on an actual Antarctic AUV program is presented. Focusing on funding and experience of the AUV team, simulation of the FuSDRA risk model shows a declining risk of loss from 0.293 in the early years of the Antarctic AUV program, reaching a minimum of 0.206 before increasing again in later years. Risk control policy recommendations were then derived from the analysis. The ex le demonstrated how FuSDRA can be applied to inform funding and risk management strategies, or broader application both within the AUV domain and on other complex technological systems.
Application of a developed dispersion model to port of Brisbane
Publisher: Science Publications
Date: 04-2018
Bootstrap Kuiper Testing of the Identity of 1D Continuous Distributions using Fuzzy Samples
Publisher: Springer Science and Business Media LLC
Date: 2015
Modified Axiomatic Basis of Subjective Probability
Publisher: Fuji Technology Press Ltd.
Date: 20-01-2005
DOI: 10.20965/JACIII.2005.P0061
Abstract: The paper aims at making a contribution to the axiomatic approach to subjective uncertainty by introducing a modified set of six axioms to subjective probabilities. Those are considered sufficient to guarantee adequacy and rationality in the expression of beliefs in future uncertain events by the observer of the system. The axioms combine mathematical correctness and unambiguous justification. They draw on existing axiomatic bases, but include some additional features and dependencies. A modified theorem for existence and uniqueness of subjective probabilities that uses the axioms discussed is also stated in the paper, and some explanation is given regarding the way to acquire its strict mathematical justification.
Bootstrap evaluation of expert panel opinion in case studies solved by REPOMP
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8333-4.CH002
Abstract: This chapter discusses several applications of the REPOMP procedure (Randomized Expert Panel Opinion Marginalizing Procedure). It analyzes the subjective opinion of an expert panel in a multi-criteria decision making situation. It starts with an expert panel constructing a hierarchical structure of criteria to evaluate the alternatives. At a next stage, the same expert panel evaluates the relative weight of each criterion and the degree of compliance of each alternative with those criteria. Then a randomized procedure is applied to calculate the marginal indicator of each alternative and make the final ordering based on it. Additional simulation procedure is applied to analyze the distribution of that marginal indicator. The alternatives are also being allocated to indifference classes using hypothesis testing procedures. The analyzed ex les refer to issues in environmental management, energy efficiency and spatial data infrastructures.
Technical Diagnostics Of Marine Equipment With Pseudo-Discrete Features
Publisher: Az-buki National Publishing House
Date: 31-08-2021
Abstract: We present a system for technical diagnostics (TD) that can recognize the actual state of marine equipment. A Bayesian classifier is trained to identify the different classes of a piece of equipment, monitored through multiple pseudo-discrete features. Data learning s les can be acquired with direct experiments for each class. The system is capable of merging subjective expert knowledge and data learning s les using pseudo-Bayesian estimates when the parameters of the conditional likelihood for the classes are identified. In the training process, correction is applied to solve numerical problems arising from zero probabilities. The pseudo-discrete features have hybrid nature and combine probabilistic and fuzzy approaches. They combine the ease of extracting subjective expert knowledge typical for the discrete features with the high precision of using the measured data during recognition typical for the continuous features. The domain of each pseudo discrete feature is ided into several main categories of non-overlapping intervals which are described as words by the expert. If a measured feature falls between two consecutive categories it is treated as a linear combination of those categories. The resubstitution performance of the classifier is assessed using an error matrix. A numerical ex le of a marine diesel generator demonstrates the proposed algorithm in a classification problem with nine different state classes of the generator, monitored through 23 pseudo-discrete features. Data learning s les are acquired with direct experiments for each class. The created TD system has potential applications in other complex engineering systems and may support improvements in marine engineering education and training.
Generic Database for Hybrid Bayesian Pattern Recognition
Publisher: Fuji Technology Press Ltd.
Date: 20-05-2006
DOI: 10.20965/JACIII.2006.P0419
Abstract: A Bayesian pattern recognition system is proposed, that processes information encoded by four types of features: discrete, pseudo-discrete, multi-normal continuous and independent continuous. This hybrid system utilizes the combined frequentist-subjective approach to probabilities, uses parametric and nonparametric techniques for the conditional likelihood estimation, and relies heavily on the fuzzy theory for data presentation, learning, and information fusion. The information for training, recognition, and prediction of the system is organized in a database, which is logically structured into three interconnected hierarchical sub-databases. A software tool is created under MATLAB that assures consistency, integrity, and maintenance of the database information. Three application ex les from the fields of technical and medical diagnostics are presented, which illustrate the types of problems and levels of complexity that the database tool can handle.
Hindered dissolution of fibrin formed under mechanical stress
Publisher: Elsevier BV
Date: 05-2011
Algorithms for formal stratification of patients with ischemic mitral regurgitation
Publisher: Medical University Prof. Dr. Paraskev Stoyanov - Varna
Date: 31-12-2018
Approximations of One-dimensional Expected Utility Integral of Alternatives Described with Linearly-Interpolated p-Boxes
Publisher: Springer Berlin Heidelberg
Date: 02-11-2014
Suppressed catalytic efficiency of plasmin in the presence of long‐chain fatty acids
Publisher: Wiley
Date: 03-2008
Regression Diagnostics with Predicted Residuals of Linear Model with Improved Singular Value Classification Applied to Forecast the Hydrodynamic Efficiency of Wave Energy Converters
Publisher: MDPI AG
Date: 26-03-2021
DOI: 10.3390/APP11072990
Abstract: In the preliminary stages of design of the oscillating water column (OWC) type of wave energy converters (WECs), we need a reliable cost- and time-effective method to predict the hydrodynamic efficiency as a function of the design parameters. One of the cheapest approaches is to create a multiple linear regression (MLR) model using an existing data set. The problem with this approach is that the reliability of the MLR predictions depend on the validity of the regression assumptions, which are either rarely tested or tested using sub-optimal procedures. We offer a series of novel methods for assumption diagnostics that we apply in our case study for MLR prediction of the hydrodynamics efficiency of OWC WECs. Namely, we propose: a novel procedure for reliable identification of the zero singular values of a matrix a modified algorithm for stepwise regression a modified algorithm to detect heteroskedasticity and identify statistically significant but practically insignificant heteroscedasticity in the original model a novel test of the validity of the nullity assumption a modified Jarque–Bera Monte Carlo error normality test. In our case study, the deviations from the assumptions of the classical normal linear regression model were fully diagnosed and dealt with. The newly proposed algorithms based on improved singular value decomposition (SVD) of the design matrix and on predicted residuals were successfully tested with a new family of goodness-of-fit measures. We empirically investigated the correct placement of an elaborate outlier detection procedure in the overall diagnostic sequence. As a result, we constructed a reliable MLR model to predict the hydrodynamic efficiency in the preliminary stages of design. MLR is a useful tool at the preliminary stages of design and can produce highly reliable and time-effective predictions of the OWC WEC performance provided that the constructing and diagnostic procedures are modified to reflect the latest advances in statistics. The main advantage of MLR models compared to other modern black box models is that their assumptions are known and can be tested in practice, which increases the reliability of the model predictions.
Assessment of uncertain alternatives for co-located aquaculture and offshore wind farm in tasmania
Publisher: Elsevier BV
Date: 04-2022
Myosin: a noncovalent stabilizer of fibrin in the process of clot dissolution
Publisher: American Society of Hematology
Date: 06-2003
DOI: 10.1182/BLOOD-2002-10-3227
Abstract: Myosin modulates the fibrinolytic process as a cofactor of the tissue plasminogen activator and as a substrate of plasmin. We report now that myosin is present in arterial thrombi and it forms reversible noncovalent complexes with fibrinogen and fibrin with equilibrium dissociation constants in the micromolar range (1.70 and 0.94 μM, respectively). Competition studies using a peptide inhibitor of fibrin polymerization (glycl-prolyl-arginyl-proline [GPRP]) indicate that myosin interacts with domains common in fibrinogen and fibrin and this interaction is independent of the GPRP-binding polymerization site in the fibrinogen molecule. An association rate constant of 1.81 × 102 M–1 · s–1 and a dissociation rate constant of 3.07 × 10–4 s–1 are determined for the fibrinogen-myosin interaction. Surface plasmon resonance studies indicate that fibrin serves as a matrix core for myosin aggregation. The fibrin clots equilibrated with myosin are stabilized against dissolution initiated by plasminogen and tissue-type plasminogen activator (tPA) or urokinase (at fibrin monomer-myosin molar ratio as high as 30) and by plasmin under static and flow conditions (at fibrin monomer-myosin molar ratio lower than 15). Myosin exerts similar effects on the tPA-induced dissolution of blood plasma clots. Covalent modification involving factor XIIIa does not contribute to this stabilizing effect myosin is not covalently attached to the clot by the time of complete cross-linking of fibrin. Thus, our in vitro data suggest that myosin detected in arterial thrombi binds to the polymerized fibrin, in the bound form its tPA-cofactor properties are masked, and the myosinfibrin clot is relatively resistant to plasmin.
Fibrin to von Willebrand factor ratio in arterial thrombi is associated with plasma levels of inflammatory biomarkers and local abundance of extracellular DNA
Publisher: Elsevier BV
Date: 2022
DOI: 10.1016/J.THROMRES.2021.11.011
Abstract: The composition of thrombi determines their structure, mechanical stability, susceptibility to lysis, and consequently, the clinical outcome in coronary artery disease (CAD), acute ischemic stroke (AIS), and peripheral artery disease (PAD). Fibrin forms the primary matrix of thrombi intertwined with DNA, derived from neutrophil extracellular traps (NETs), and von Willebrand factor (VWF) bridging DNA and platelets. Here we examined the relative content of fibrin, DNA and VWF in thrombi and analyzed their interrelations and quantitative associations with systemic biomarkers of inflammation and clinical characteristics of the patients. Thrombi extracted from AIS (n = 17), CAD (n = 18) or PAD (n = 19) patients were processed for scanning electron microscopy, (immune)stained for fibrin, VWF and extracellular DNA. Fibrin fiber diameter, cellular components, fibrin/DNA and fibrin/VWF ratios were measured. Patients' age presented as a strong explanatory factor for a linear decline trend of the VWF content relative to fibrin in thrombi from CAD (adjusted-R The observed interrelations between thrombus constituents and systemic inflammatory biomarkers suggest an intricate interplay along the VWF/NET/fibrin axis in arterial thrombosis.
Initial results from the comparison of recombinant FSH and urinary FSH in an IVF programme
Publisher: Oxford University Press (OUP)
Date: 06-1997
Stature estimation from long bone lengths in Bulgarians
Publisher: Elsevier BV
Date: 2002
Abstract: The purpose of the present study is to develop a new regression procedure for predicting the stature from the length of the limb long bones taking into account sex- and age-related changes. The statures and lengths of humerus (H), tibia (T) and fibula (Fi) were measured in 416 forensic cases (286 male and 130 female adult Bulgarians). The measurements of the bones and the stature were made on cadavers before autopsy. Stature regression analysis is performed for each of the three bones, as well as for a combination of humerus and tibia. There is a possibility of applying five different procedures with regard of the effect of aging on stature decrease. Resulting models are tested for outliers and heteroskedasticity. Regression parameters, their standard deviations, standard error of the regression. Anova test for model adequacy and the covariance matrix of regression parameters are calculated. The confidence intervals of the error term are determined. Nomograms for a direct application of the results are constructed where it is convenient. The method provides better and more reliable results of stature estimation for the Bulgarian population than other formulae.
Introduction to interpretation of stochastic parameters: Computer‐intensive procedures for evaluation of data in enzyme kinetics
Publisher: Wiley
Date: 11-2002
Conservative Betting on Sport Games with Intuitionistic Fuzzy Described Uncertainty
Publisher: IEEE
Date: 09-2006
Fuzzy Rationality in Quantitative Decision Analysis
Publisher: Fuji Technology Press Ltd.
Date: 20-01-2005
DOI: 10.20965/JACIII.2005.P0065
Abstract: The paper presents a discussion on fuzzy rationality in the elicitation of subjective probabilities and utilities. In addition to previous research, two functions, measuring the degree of preference of the real decision maker on both sides of the uncertainty interval are introduced, and their relationship with the indifference function, measuring the degree of indifference of the decision maker over gambles, is analyzed and graphically interpreted. A new relation -- hesitation -- is introduced to give a better description of the actual process of subjective elicitation by real decision makers. The influence of the preference-hesitation combination in an elicitation process is presented graphically, and it is argued that the resulting uncertainty interval is much tighter than the one, resulting from the preference-indifference based elicitation.
Simulating state-dependent systems with partial aging in standby
Publisher: IEEE
Date: 08-2020
Related Organisations
Related Funding Activities
No related grants have been discovered for Kiril Tenekedjiev.