ORCID Profile
0000-0001-9422-1370
Current Organisation
RMIT University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Neural Networks, Genetic Alogrithms And Fuzzy Logic | Optical Physics | Biomaterials | Mechanical Engineering | Microelectromechanical Systems (MEMS) | Artificial Intelligence and Image Processing | Robotics And Mechatronics | Astronomy And Astrophysics | Optics And Opto-Electronic Physics | Biophysics
ANZSRC Socio-Economic Objective (SEO)
Application tools and system utilities | Combined operations | Hearing, vision, speech and their disorders | Expanding Knowledge in Engineering | Health related to ageing | Expanding Knowledge in the Biological Sciences | Chemical sciences | Scientific instrumentation |
Related Links
Publications
Assessment of Features for Neurocomputational Modeling of Speech Acquisition
Publisher: IEEE
Date: 12-2018
The effect of micromachining process to the biocompatibility of 3C-SiC membranes
Publisher: IEEE
Date: 12-2014
Polycrystalline Diamond Coating of Additively Manufactured Titanium for Biomedical Applications
Publisher: American Chemical Society (ACS)
Date: 22-02-2018
Abstract: Additive manufacturing using selective laser melted titanium (SLM-Ti) is used to create bespoke items across many erse fields such as medicine, defense, and aerospace. Despite great progress in orthopedic implant applications, such as for "just in time" implants, significant challenges remain with regards to material osseointegration and the susceptibility to bacterial colonization on the implant. Here, we show that polycrystalline diamond coatings on these titanium s les can enhance biological scaffold interaction improving medical implant applicability. The highly conformable coating exhibited excellent bonding to the substrate. Relative to uncoated SLM-Ti, the diamond coated s les showed enhanced mammalian cell growth, enriched apatite deposition, and reduced microbial S. aureus activity. These results open new opportunities for novel coatings on SLM-Ti devices in general and especially show promise for improved biomedical implants.
A microfluidic system for studying the effects of disturbed flow on endothelial cells
Publisher: Frontiers Media SA
Date: 17-04-2019
Bioelectromagnetics research within an Australian context: The Australian centre for electromagnetic bioeffects research (ACEBR)
Publisher: MDPI AG
Date: 29-09-2016
A Novel Elastic Conductive Yarn for Smart Textile Applications
Publisher: Wiley
Date: 02-10-2023
The effects of low power microwaves at 1800 MHz and 2100 MHz on yeast cells growth
Publisher: IEEE
Date: 12-2016
“Do-it-in-classroom” fabrication of microfluidic systems by replica moulding of pasta structures
Publisher: AIP Publishing
Date: 07-2018
DOI: 10.1063/1.5042684
Abstract: Here, we describe a novel method for fabrication of microfluidic structures in classroom environments. This method is based on replica moulding of pasta structures in polydimethylsiloxane. Placing pasta structures on a petroleum jelly base layer enables templating round-shaped structures with controllable cross-sectional profiles. The pasta structures can be easily deformed and combined to create more complex 3D microfluidic structures. Proof-of-concept experiments indicate the capability of this method for studying the mixing of neighbouring flows, generation of droplets, lateral migration of particles, as well as culturing, shear stress stimulation, and imaging of cells. Our “do-it-in-classroom” method bridges the gap between the classroom and the laboratory.
Evaluating silver-plated nylon (Ag/PA66) e-textiles for bioelectrical impedance analysis (BIA) application
Publisher: IOP Publishing
Date: 21-04-2020
Evaluation of the RRM model using dehydrogenase protein as example
Publisher: Elsevier BV
Date: 08-2003
Automated Screening for Alzheimer’s Dementia Through Spontaneous Speech
Publisher: ISCA
Date: 25-10-2020
Oscillation and self-propulsion of Leidenfrost droplets enclosed in cylindrical cavities
Publisher: Royal Society of Chemistry (RSC)
Date: 2020
DOI: 10.1039/D0SM01153C
Abstract: We show the evolution of unique dynamic modes and the self-propulsion of Leidenfrost droplets when placed in a metallic disk with offset radial grooves.
Low power microwaves at 1.8GHz and 2.1 GHz induce chages in Catalase enzyme kinetics
Publisher: IEEE
Date: 12-2016
3D Printed Multiphasic Scaffolds for Osteochondral Repair: Challenges and Opportunities
Publisher: MDPI AG
Date: 17-11-2021
Abstract: Osteochondral (OC) defects are debilitating joint injuries characterized by the loss of full thickness articular cartilage along with the underlying calcified cartilage through to the subchondral bone. While current surgical treatments can provide some relief from pain, none can fully repair all the components of the OC unit and restore its native function. Engineering OC tissue is challenging due to the presence of the three distinct tissue regions. Recent advances in additive manufacturing provide unprecedented control over the internal microstructure of bioscaffolds, the patterning of growth factors and the encapsulation of potentially regenerative cells. These developments are ushering in a new paradigm of ‘multiphasic’ scaffold designs in which the optimal micro-environment for each tissue region is in idually crafted. Although the adoption of these techniques provides new opportunities in OC research, it also introduces challenges, such as creating tissue interfaces, integrating multiple fabrication techniques and co-culturing different cells within the same construct. This review captures the considerations and capabilities in developing 3D printed OC scaffolds, including materials, fabrication techniques, mechanical function, biological components and design.
THE CYTOTOXIC EFFECTS OF LOW INTENSITY VISIBLE AND INFRARED LIGHT ON HUMAN BREAST CANCER (MCF7) CELLS
Publisher: Elsevier BV
Date: 03-2013
A self-sufficient pressure pump using latex balloons for microfluidic applications
Publisher: Royal Society of Chemistry (RSC)
Date: 2018
DOI: 10.1039/C8LC00471D
Abstract: Here, we demonstrate a self-sufficient, inexpensive and disposable pressure pump using commercially available latex balloons.
Highly uniform polycrystalline diamond coatings of three-dimensional structures
Publisher: Elsevier BV
Date: 02-2021
Classification of Fine-Art Paintings with Simulated Partial Damages
Publisher: IEEE
Date: 14-12-2020
Enhancing Peptide Biomaterials for Biofabrication
Publisher: MDPI AG
Date: 04-08-2021
Abstract: Biofabrication using well-matched cell/materials systems provides unprecedented opportunities for dealing with human health issues where disease or injury overtake the body’s native regenerative abilities. Such opportunities can be enhanced through the development of biomaterials with cues that appropriately influence embedded cells into forming functional tissues and organs. In this context, biomaterials’ reliance on rigid biofabrication techniques needs to support the incorporation of a hierarchical mimicry of local and bulk biological cues that mimic the key functional components of native extracellular matrix. Advances in synthetic self-assembling peptide biomaterials promise to produce reproducible mimics of tissue-specific structures and may go some way in overcoming batch inconsistency issues of naturally sourced materials. Recent work in this area has demonstrated biofabrication with self-assembling peptide biomaterials with unique biofabrication technologies to support structural fidelity upon 3D patterning. The use of synthetic self-assembling peptide biomaterials is a growing field that has demonstrated applicability in dermal, intestinal, muscle, cancer and stem cell tissue engineering.
Characterization of Polycaprolactone Nanohydroxyapatite Composites with Tunable Degradability Suitable for Indirect Printing
Publisher: MDPI AG
Date: 18-01-2021
Abstract: Degradable bone implants are designed to foster the complete regeneration of natural tissue after large-scale loss trauma. Polycaprolactone (PCL) and hydroxyapatite (HA) composites are promising scaffold materials with superior mechanical and osteoinductive properties compared to the single materials. However, producing three-dimensional (3D) structures with high HA content as well as tuneable degradability remains a challenge. To address this issue and create homogeneously distributed PCL-nanoHA (nHA) scaffolds with tuneable degradation rates through both PCL molecular weight and nHA concentration, we conducted a detailed characterisation and comparison of a range of PCL-nHA composites across three molecular weight PCLs (14, 45, and 80 kDa) and with nHA content up to 30% w/w. In general, the addition of nHA results in an increase of viscosity for the PCL-nHA composites but has little effect on their compressive modulus. Importantly, we observe that the addition of nHA increases the rate of degradation compared to PCL alone. We show that the 45 and 80 kDa PCL-nHA groups can be fabricated via indirect 3D printing and have homogenously distributed nHA even after fabrication. Finally, the cytocompatibility of the composite materials is evaluated for the 45 and 80 kDa groups, with the results showing no significant change in cell number compared to the control. In conclusion, our analyses unveil several features that are crucial for processing the composite material into a tissue engineered implant.
Self-sufficient, low-cost microfluidic pumps utilising reinforced balloons
Publisher: Royal Society of Chemistry (RSC)
Date: 2019
DOI: 10.1039/C9LC00618D
Abstract: Reinforcing a latex balloon with nylon stockings leads to a high pressure self-sufficient pump, which is used for studying the mechanobiology of aortic cells and hydrodynamic capturing of large human monocytes.
Design, fabrication and validation of a precursor pulsed electromagnetic field device for bone fracture repair
Publisher: IEEE
Date: 07-2018
Investigating resistance of layers in nickel germanide formed on amorphous and crystalline germanium
Publisher: IEEE
Date: 05-2015
Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Effects of oscillating electric fields on conotoxin peptide conformation: A molecular dynamic simulation study
Publisher: Elsevier BV
Date: 03-2021
Visitors' wayfinding strategies and navigational aids in unfamiliar urban environment
Publisher: Informa UK Limited
Date: 12-2019
Wearable sensors: At the frontier of personalised health monitoring, smart prosthetics and assistive technologies
Publisher: Elsevier BV
Date: 03-2021
Optimizing the thermal budget for forming of nickel germanide on crystalline germanium
Publisher: SPIE
Date: 07-12-2013
DOI: 10.1117/12.2034001
Microfluidic Skin‐on‐a‐Chip Models: Toward Biomimetic Artificial Skin
Publisher: Wiley
Date: 30-07-2020
The influence of psychological and cognitive states on error-related negativity evoked during post-stroke rehabilitation movements
Publisher: Springer Science and Business Media LLC
Date: 02-02-2021
DOI: 10.1186/S12938-021-00850-2
Abstract: Recently, error-related negativity (ERN) signals are proposed to develop an assist-as-needed robotic stroke rehabilitation program. Stroke patients’ state-of-mind, such as motivation to participate and active involvement in the rehabilitation program, affects their rate of recovery from motor disability. If the characteristics of the robotic stroke rehabilitation program can be altered based on the state-of-mind of the patients, such that the patients remain engaged in the program, the rate of recovery from their motor disability can be improved. However, before that, it is imperative to understand how the states-of-mind of a participant affect their ERN signal. This study aimed to determine the association between the ERN signal and the psychological and cognitive states of the participants. Experiments were conducted on stroke patients, which involved performing a physical rehabilitation exercise and a questionnaire to measure participants' subjective experience on four factors: motivation in participating in the experiment, perceived effort, perceived pressure, awareness of uncompleted exercise trials while performing the rehabilitation exercise. Statistical correlation analysis, EEG time-series and topographical analysis were used to assess the association between the ERN signals and the psychological and cognitive states of the participants. A strong correlation between the litude of the ERN signal and the psychological and cognitive states of the participants was observed, which indicate the possibility of estimating the said states using the litudes of the novel ERN signal. The findings pave the way for the development of an ERN based dynamically adaptive assist-as-needed robotic stroke rehabilitation program of which characteristics can be altered to keep the participants’ motivation, effort, engagement in the rehabilitation program high. In future, the single-trial prediction ability of the novel ERN signals to predict the state-of-mind of stroke patients will be evaluated.
Irradiation of Escherichia coli by extremely-low frequency (ELF) pulsed electromagnetic fields (PEMF): evaluation of bacterial survival
Publisher: Informa UK Limited
Date: 07-11-2014
Low power microwave exposures at 968MHz increase the growth rate of Breanomyces bruxellensis yeast cells
Publisher: IEEE
Date: 06-2016
Low temperature of formation of nickel germanide on crystalline germanium
Publisher: IEEE
Date: 05-2014
Towards bioengineered skeletal muscle: recent developments in vitro and in vivo
Publisher: Portland Press Ltd.
Date: 08-2021
DOI: 10.1042/EBC20200149
Abstract: Skeletal muscle is a functional tissue that accounts for approximately 40% of the human body mass. It has remarkable regenerative potential, however, trauma and volumetric muscle loss, progressive disease and aging can lead to significant muscle loss that the body cannot recover from. Clinical approaches to address this range from free-flap transfer for traumatic events involving volumetric muscle loss, to myoblast transplantation and gene therapy to replace muscle loss due to sarcopenia and hereditary neuromuscular disorders, however, these interventions are often inadequate. The adoption of engineering paradigms, in particular materials engineering and materials/tissue interfacing in biology and medicine, has given rise to the rapidly growing, multidisciplinary field of bioengineering. These methods have facilitated the development of new biomaterials that sustain cell growth and differentiation based on bionic biomimicry in naturally occurring and synthetic hydrogels and polymers, as well as additive fabrication methods to generate scaffolds that go some way to replicate the structural features of skeletal muscle. Recent advances in biofabrication techniques have resulted in significant improvements to some of these techniques and have also offered promising alternatives for the engineering of living muscle constructs ex vivo to address the loss of significant areas of muscle. This review highlights current research in this area and discusses the next steps required towards making muscle biofabrication a clinical reality.
Learning Acoustic Word Embeddings with Dynamic Time Warping Triplet Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Classification of Style in Fine-Art Paintings Using Transfer Learning and Weighted Image Patches
Publisher: IEEE
Date: 12-2018
Multimodal Prediction of Public Trust in Politicians from Speech and Text
Publisher: IEEE
Date: 14-12-2020
A Review of Error-Related Potential-Based Brain–Computer Interfaces for Motor Impaired People
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Automated Recognition of Alzheimer’s Dementia Using Bag-of-Deep-Features and Model Ensembling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Embroidered electrodes for bioelectrical impedance analysis: Impact of surface area and stitch parameters
Publisher: IOP Publishing
Date: 04-09-2019
Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Asynchronous generation of oil droplets using a microfluidic flow focusing system
Publisher: Springer Science and Business Media LLC
Date: 22-07-2019
DOI: 10.1038/S41598-019-47078-8
Abstract: Here, we show that long-term exposure of PDMS based microfluidic droplet generation systems to water can reverse their characteristics such that they generate oil-in-water droplets instead of water-in-oil droplets. The competition between two oil columns entering via the two side channels leads to asynchronous generation of oil droplets. We identify various modes of droplet generation, and study the size, gap and generation rate of droplets under different combinations of oil and water pressures. Oil droplets can also be generated using syringe pumps, various oil viscosities, and different combinations of immiscible liquids. We also demonstrate the ability to dynamically change the gap between the oil droplets from a few hundred microns to just a few microns in successive cycles using a latex balloon pressure pump. This method requires no special equipment or chemical treatments, and importantly can be reversed by long-term exposure of the PDMS surfaces to the ambient air.
Evaluation of the use of therapeutic peptides for cancer treatment
Publisher: Springer Science and Business Media LLC
Date: 21-03-2017
Tunable Harmonic Flow Patterns in Microfluidic Systems through Simple Tube Oscillation
Publisher: Wiley
Date: 10-2020
Prediction of intrinsically disordered regions in proteins using signal processing methods: application to heat-shock proteins
Publisher: Springer Science and Business Media LLC
Date: 04-2016
DOI: 10.1007/S11517-016-1477-X
Abstract: Heat-shock protein (HSP)-based immunotherapy is believed to be a promising area of development for cancer treatment as such therapy is characterized by a unique approach to every tumour. It was shown that by inhibition of HSPs it is possible to induce apoptotic cell death in cancer cells. Interestingly, there are a great number of disordered regions in proteins associated with cancer, cardiovascular and neurodegenerative diseases, signalling, and diabetes. HSPs and some specific enzymes were shown to have these disordered regions in their primary structures. The experimental studies of HSPs confirmed that their intrinsically disordered (ID) regions are of functional importance. These ID regions play crucial roles in regulating the specificity of interactions between dimer complexes and their interacting partners. Because HSPs are overexpressed in cancer, predicting the locations of ID regions and binding sites in these proteins will be important for developing novel cancer therapeutics. In our previous studies, signal processing methods have been successfully used for protein structure-function analysis (i.e. for determining functionally important amino acids and the locations of protein active sites). In this paper, we present and discuss a novel approach for predicting the locations of ID regions in the selected cancer-related HSPs.
Evaluation of in vitro human skin models for studying effects of external stressors and stimuli and developing treatment modalities
Publisher: Wiley
Date: 15-09-2022
DOI: 10.1002/VIW.20210012
Abstract: Skin is exposed to a variety of potential stressors and stimulators that may impact homeostasis, healing, tumor development, inflammation, and irritation. As such it is important to understand the impact that these stimuli have on skin health and function, and to develop therapeutic interventions. Animal experiments have been the gold standard for testing the safety and efficacy of therapeutics and observing disease pathology for centuries. However, complex ethics, costs, time consumption, and interspecies variation limit the transferability of results to humans and reduce their repeatability and reliability. Furthermore, traditional 2D cell studies are not representative of human tissue. Skin tissue is a dynamic environment, and when cells are isolated in unphysiologically stiff, static petri dishes their behavior, and phenotypic expression is altered. Increasingly complex in vitro models of human skin, including organoids, 3D bioprinting, and skin‐on‐a‐chip platforms, present the opportunity to gain insight into how stressors affect tissue at a cellular level in a controlled and repeatable environment. This insight can be leveraged to further understand pathological skin conditions and better formulate and validate drugs and therapeutics. Here, we will discuss the application of in vitro skin modeling to investigating the effects of mechanical, electromagnetic, and chemical stressors on skin.
Prediction of public trust in politicians using a multimodal fusion approach
Publisher: MDPI AG
Date: 25-05-2021
DOI: 10.3390/ELECTRONICS10111259
Abstract: This paper explores the automatic prediction of public trust in politicians through the use of speech, text, and visual modalities. It evaluates the effectiveness of each modality in idually, and it investigates fusion approaches for integrating information from each modality for prediction using a multimodal setting. A database was created consisting of speech recordings, twitter messages, and images representing fifteen American politicians, and labeling was carried out per a publicly available ranking system. The data were distributed into three trust categories, i.e., the low-trust category, mid-trust category, and high-trust category. First, unimodal prediction using each of the three modalities in idually was performed using the database then, using the outputs of the unimodal predictions, a multimodal prediction was later performed. Unimodal prediction was performed by training three independent logistic regression (LR) classifiers, one each for speech, text, and images. The prediction vectors from the in idual modalities were then concatenated before being used to train a multimodal decision-making LR classifier. We report that the best performing modality was speech, which achieved a classification accuracy of 92.81%, followed by the images, achieving an accuracy of 77.96%, whereas the best performing model for text-modality achieved a 72.26% accuracy. With the multimodal approach, the highest classification accuracy of 97.53% was obtained when all three modalities were used for trust prediction. Meanwhile, in a bimodal setup, the best performing combination was that combining the speech and image visual modalities by achieving an accuracy of 95.07%, followed by the speech and text combination, showing an accuracy of 94.40%, whereas the text and images visual modal combination resulted in an accuracy of 83.20%.
Studying the Response of Aortic Endothelial Cells under Pulsatile Flow Using a Compact Microfluidic System
Publisher: American Chemical Society (ACS)
Date: 13-08-2019
DOI: 10.1021/ACS.ANALCHEM.9B03247
Abstract: We describe a piezoelectric pumping system for studying the mechanobiology of human aortic endothelial cells (HAECs) under pulsatile flow in microfluidic structures. The system takes advantage of commercially available components, including pumps, flow sensors, and microfluidic channels, which can be easily integrated, programmed, and operated by cellular biologists. Proof-of-concept experiments were performed to elucidate the complex mechanotransduction processes of endothelial cells to pulsatile flow. In particular, we investigated the effect of atheroprone and atheroprotective pulsatile shear stress on endothelial cytoskeleton remodeling and distribution of β-catenin, as well as nuclear shape and size. The system is simple to operate, relatively inexpensive, portable, and controllable, providing opportunities for studying the mechanobiology of endothelial cells using microfluidic technologies.
Numerical calculation of permeability of periodic porous materials: Application to periodic arrays of spheres and 3D scaffold microstructures
Publisher: Wiley
Date: 12-03-2019
DOI: 10.1002/NME.6037
Fabrication of 3C-silicon carbide membranes: Towards development of novel microdevices for biomedical applications
Publisher: IEEE
Date: 02-2012
Thermoelectric heat patch for clinical and self-management of post melanoma excision wound care
Publisher: IOP Publishing
Date: 07-12-2018
Design and Development of an Extremely Low Frequency (ELF) Pulsed Electromagnetic Field (PEMF) System for Wound Healing Promotion
Publisher: Springer Berlin Heidelberg
Date: 2013
The effects of synthetic Azurocidin peptide analogue on Staphylococcus aureus bacterium
Publisher: IEEE
Date: 11-2013
Diamond, Carbon Nanotubes and Graphene for Biomedical Applications
Publisher: Elsevier
Date: 2019
Thermoelectric Heat Patch for Clinical and Self-Management: Melanoma Excision Wound Care
Publisher: Springer Science and Business Media LLC
Date: 28-11-2019
DOI: 10.1007/S10439-018-02172-2
Abstract: Thermotherapy is considered to have potential beneficial effects when applied to wounds. Of particular relevance to this research are wounds that have dropped in temperature due to regional anaesthesia. This study is aimed at developing a normothermic system comprising of a heat patch controlled by external hardware. The study is ided into three parts: (i) the analyses of the skin temperature that form the foundation of the system (ii) the development of an efficient wearable heat patch incorporating thermoelectric elements to electrical and thermal conductive textiles and (iii) the hardware development to control the current flow to the thermoelectric elements thus managing the temperature of the heat patch and conserving current. It was observed that a distance of 3 cm between the thermoelectric elements provides ideal heat distribution relative to the surface area. The system allowed for an 80% reduction in current, while maintaining the temperature of the heat patch at the required thermophysiological skin temperature. Future studies will include development of a temperature sensor identifying the real-time temperature of the wound and circuitry for switching the polarity of the thermoelectric elements. The cooling capabilities of the thermoelectric elements can be applied to wounds that have increased in temperature.
Effects of low power microwave radiation on biological activity of Collagenase enzyme and growth rate of S. Cerevisiae yeast
Publisher: SPIE
Date: 07-12-2013
DOI: 10.1117/12.2033915
Static vs. Dynamic Modelling of Acoustic Speech Features for Detection of Dementia
Publisher: The Science and Information Organization
Date: 2020
RRM analysis of protoporphyrinogen oxidase
Publisher: Springer Science and Business Media LLC
Date: 12-2004
DOI: 10.1007/BF03178646
Inertial Microfluidics with Integrated Vortex Generators Using Liquid Metal Droplets as Fugitive Ink
Publisher: Wiley
Date: 08-05-2019
Virtual Reality Assisted Motor Imagery for Early Post-Stroke Recovery: A Review
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Tuneable hybrid hydrogels via complementary self-assembly of a bioactive peptide with a robust polysaccharide
Publisher: American Chemical Society (ACS)
Date: 14-06-2021
Characterisation of nickel germanide formed on amorphous and crystalline germanium
Publisher: IEEE
Date: 08-2014
Printing between the Lines: Intricate Biomaterial Structures Fabricated via Negative Embodied Sacrificial Template 3D (NEST3D) Printing
Publisher: Wiley
Date: 19-05-2021
Abstract: Extrusion printing techniques are widely used across tissue engineering and related fields for producing 3D structures from biocompatible thermoplastics, however the achievable structural complexity and porosity can be limited by the nozzle‐based, layer‐by‐layer deposition process. Here, how this limitation can be overcome through a new technique termed Negative Embodied Sacrificial Template 3D printing is illustrated. It is demonstrated how the negative pattern within a 3D printed object can easily describe geometries that are extremely challenging to extrusion print directly with biomaterials, and at high resolution. Negative patterns in a water‐soluble sacrificial template can be “developed” by casting in a secondary material and dissolving the template, creating exquisitely complex 3D structures including hyper‐branched dendritic structures and open lattices with stiffnesses tuneable over 3 orders of magnitude. The technique is amenable to a plethora of materials from biodegradable thermoplastics (such as polycaprolactone) to resins (including acrylic and epoxy), silicones (including the Sylgard 184 polydimethylsiloxane formulation), ceramics (including hydroxyapatite composites), hydrogels (including agarose and gelatin methacryloyl), low‐melt temperature metal alloys and others. Using an unmodified, consumer‐grade printer, NEST3D printing achieves high resolution, intricate biomaterial structures with potential applications in biomedical implants and tissue engineering scaffolds.
Effects of Non-thermal Microwave Exposures on the Proliferation Rate of Saccharomyces Cerevisiae Yeast
Publisher: Springer Berlin Heidelberg
Date: 2013
Engineering the Interface: Nanodiamond Coating on 3D-Printed Titanium Promotes Mammalian Cell Growth and Inhibits Staphylococcus aureus Colonization
Publisher: American Chemical Society (ACS)
Date: 14-06-2019
Abstract: Additively manufactured selective laser melted titanium (SLM-Ti) opens the possibility of tailored medical implants for patients. Despite orthopedic implant advancements, significant problems remain with regard to suboptimal osseointegration at the interface between the implant and the surrounding tissue. Here, we show that applying a nanodiamond (ND) coating onto SLM-Ti scaffolds provides an improved surface for mammalian cell growth while inhibiting colonization of
The Application of Pulsed Electromagnetic Fields (PEMFs) for Bone Fracture Repair: Past and Perspective Findings
Publisher: Springer Science and Business Media LLC
Date: 22-01-2018
DOI: 10.1007/S10439-018-1982-1
Abstract: Bone fractures are one of the most commonly occurring injuries of the musculoskeletal system. A highly complex physiological process, fracture healing has been studied extensively. Data from in vivo, in vitro and clinical studies, have shown pulsed electromagnetic fields (PEMFs) to be highly influential in the fracture repair process. Whilst the underlying mechanisms acting to either inhibit or advance the physiological processes are yet to be defined conclusively, several non-invasive point of use devices have been developed for the clinical treatment of fractures. With the complexity of the repair process, involving many components acting at different time steps, it has been a challenge to determine which PEMF exposure parameters (i.e., frequency of field, intensity of field and dose) will produce the most optimal repair. In addition, the development of an evidence-backed device comes with challenges of its own, with many elements (including process of exposure, construct materials and tissue densities) being highly influential to the field exposed. The objective of this review is to provide a broad recount of the applications of PEMFs in bone fracture repair and to then demonstrate what is further required for enhanced therapeutic outcomes.
Reconfigurable, Self-Sufficient Convective Heat Exchanger for Temperature Control of Microfluidic Systems
Publisher: American Chemical Society (ACS)
Date: 15-11-2019
DOI: 10.1021/ACS.ANALCHEM.9B04066
Abstract: Here, we demonstrate a modular, reconfigurable, and self-sufficient convective heat exchanger for regulation of temperature in microfluidic systems. The heat exchanger consists of polymer tubes wrapped around a plastic pole and fully embedded in an elastomer block, which can be easily mounted onto the microfluidic structure. It is compatible with various microfluidic geometries and materials. Miniaturized, battery-powered piezoelectric pumps are utilized to drive the heat carrying liquid through the heat exchanger at desired flow rates and temperatures. Customized temperature profiles can be generated by changing the configuration of the heat exchanger with respect to the microfluidic structure. Tailored dynamic temperature profiles can be generated by changing the temperature of the heat carrying liquid in successive cycles. This feature is used to study the calcium signaling of endothelial cells under successive temperature cycles of 24 to 37 °C. The versatility, simplicity, and self-sufficiency of the heat exchanger makes it suitable for various microfluidic based cellular assays.
Error-Related Neural Responses Recorded by Electroencephalography During Post-stroke Rehabilitation Movements
Publisher: Frontiers Media SA
Date: 20-12-2019
Multi-Label Crowd Size And Location Recognition From Images
Publisher: IEEE
Date: 14-12-2020
Deep Reinforcement Learning for Articulatory Synthesis in a Vowel-to-Vowel Imitation Task
Publisher: MDPI AG
Date: 24-03-2023
DOI: 10.3390/S23073437
Abstract: Articulatory synthesis is one of the approaches used for modeling human speech production. In this study, we propose a model-based algorithm for learning the policy to control the vocal tract of the articulatory synthesizer in a vowel-to-vowel imitation task. Our method does not require external training data, since the policy is learned through interactions with the vocal tract model. To improve the s le efficiency of the learning, we trained the model of speech production dynamics simultaneously with the policy. The policy was trained in a supervised way using predictions of the model of speech production dynamics. To stabilize the training, early stopping was incorporated into the algorithm. Additionally, we extracted acoustic features using an acoustic word embedding (AWE) model. This model was trained to discriminate between different words and to enable compact encoding of acoustics while preserving contextual information of the input. Our preliminary experiments showed that introducing this AWE model was crucial to guide the policy toward a near-optimal solution. The acoustic embeddings, obtained using the proposed approach, were revealed to be useful when applied as inputs to the policy and the model of speech production dynamics.
Speech Acoustic Features Characterising Individuals with High and Low Public Trust
Publisher: IEEE
Date: 12-2019
In vitro evaluation of low-intensity light radiation on murine melanoma (B16F10) cells
Publisher: Springer Science and Business Media LLC
Date: 23-05-2015
DOI: 10.1007/S11517-015-1313-8
Abstract: Changes in the energy state of biomolecules induced by electromagnetic radiation lead to changes in biological functions of irradiated biomolecules. Using the RRM approach, it was computationally predicted that far-infrared light irradiation in the range of 3500-6000 nm affects biological activity of proto-oncogene proteins. This in vitro study evaluates quantitatively and qualitatively the effects of selected far-infrared exposures in the computationally determined wavelengths on mouse melanoma B16F10 cells and Chinese hamster ovarian (CHO) cells by MTT (thiazolyl blue tetrazolium bromide) cell proliferation assay and confocal laser-scanning microscopy (CLSM). This paper also presents the findings obtained from irradiating B16F10 and CHO cells by the selected wavelengths in visible and near-infrared range. The MTT results show that far-infrared wavelength irradiation induces detrimental effect on cellular viability of B16F10 cells, while that of normal CHO cells is not affected considerably. Moreover, CLSM images demonstrate visible cellular detachment of cancer cells. The observed effects support the hypothesis that far-infrared light irradiation within the computationally determined wavelength range induces biological effect on cancer cells. From irradiation of selected visible and near-infrared wavelengths, no visible changes were detected in cellular viability of either normal or cancer cells.
Conformational changes in Conotoxin exposed to static electric fields: A molecular modeling study
Publisher: IEEE
Date: 12-2016
Low power microwaves induce changes in gating function of Trpv4 ion channel proteins
Publisher: IEEE
Date: 11-2017
Effects of low power microwaves at 1.8, 2.1, and 2.3 GHz onl -Lactic dehydrogenase and Glutathione peroxidase enzymes
Publisher: Informa UK Limited
Date: 22-07-2014
Static electric fields induce conformational changes in alpha conotoxin: A molecular dyanamics simulation study
Publisher: IEEE
Date: 11-2017
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Start Date: 10-2009
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View Funded ActivitySpecial Research Initiatives - Grant ID: SR0354599
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