UNT College of Engineering - 65 Matching Results

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agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers: Article discusses the large quantities of farm and meat products that rot and are wasted if correct actions are not taken leading to serious health concerns if consumed. Because there is no proper system for tracking and communicating the status of goods to consumers, a right which according to the authors should be a given, they propose a method of increased communication using Corda private blockchain.
An approach for reliably identifying high-frequency oscillations and reducing false-positive detections: Article states that high-frequency oscillation (HFO), classified as ripples (80-240 Hz) and fast ripples (240-500 Hz), is regarded as a promising biomarker of epilepsy. The authors presented an integrated, multi-layered procedure capable of automatically rejecting HFOs from a variety of common false positives, such as motion, background signals, and sharp transients.
Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation: Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Biochar aerogel-based electrocatalyst towards efficient oxygen evolution in acidic media: Article argues that traditional acidic oxygen evolution reaction (OER) electrocatalysts are more prone to be oxidized and corroded as results of unstable carrier structures and variable electronic states of active species, so a high-performing biochar aerogel (BA) based electrocatalyst was realistically designed and synthetized via joint utilization of the terrestrial lignin and seaweed polysaccharide as carbon sources. This work puts forward a novel and effective strategy towards the enhancement of the acidic OER process by rational regulations of the BA and the coupling effect in micro-interface.
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model: Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Computing microRNA-gene interaction networks in pan-cancer using miRDriver: This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.
A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations: Article suggests that common standards for recording, detection, and reporting for intracranial recordings in humans that suggest their role in episodic and semantic memory does not exist. Authors of the article outline the methodological challenges involved in detecting ripple events and offer practical recommendations to improve separation from other high-frequency oscillations, and argue that shared experimental, detection, and reporting standards will provide a solid foundation for future translational discovery.
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset: Article is a study analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset, natural language processing, and machine learning.
Current methods for fabricating 3D cardiac engineered constructs: Article is a review highlighting the various cell types found in cardiac tissues and how they correspond with current advanced fabrication methods for creating cardiac engineered constructs.
Design of high SERS sensitive substrates based on branched Ti nanorods: Article reports a rational design of branched titanium (Ti) nanorods formed by glancing angle physical vapor deposition and their applications as substrates for surface-enhanced Raman scattering (SERS). The authors investigation provides a mechanism to fabricate sensitive SERS sensors of Ti nanorods that are known to be thermally and chemically stable and compatible with silicon-based electronics.
Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system: Article analyses the impact of Covid-19 on various cyber-security related aspects.
Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning: Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
A dimensional assessment of small features and lattice structures manufactured by laser powder bed fusion: This article presents a detailed investigation on the influence of building orientation and feature dimensions in laser powder bed fusion (L-PBF) parts.
Editorial: Superlubricity across the scales: Article talks about how while the idea of frictionless surfaces and the associated implications of vanishing energy losses during mechanical motion have been part of science fiction culture, scientists in the real world work toward realizing this ambitious goal that was once thought to be unattainable. The overarching goal of the research topic titled “Superlubricity Across the Scales” is to provide a snapshot of the latest developments in this rapidly accelerating field of research.
Effect of composition and thermal history on deformation behavior and cluster connections in model bulk metallic glasses: Article describes the compositional dependence and influence of relaxation state on the deformation behavior of a Pt–Pd-based bulk metallic glasses model system was investigated, where platinum is systematically replaced by topologically equivalent palladium atoms. Based on total scattering experiments with synchrotron X-ray radiation, a correlation between the increase in stiffer 3-atom cluster connections and reduction in strain-rate sensitivity, as a measure of ductility, with Pd content and thermal history is suggested.
Effect of pressure quenching on the structures and properties of borosilicate glasses: Insights from molecular dynamics simulations: Article describes how processes including hot compression, cold compression and subsequent annealing on the structures and properties are investigated and compared. They found that applying pressure up to 10 GPa at the glass transition temperature led to permanent densifications and a dramatic increase of elastic moduli by 90%, while thermal annealing reversed the increase and applying pressure at ambient temperature did not increase the modulus.
Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features: Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.
Experimental Validation of Diffraction Lithography for Fabrication of Solid Microneedles: Article states that microneedles are highly sought after for medicinal and cosmetic applications. However, the current manufacturing process for microneedles remains complicated, hindering its applicability to a broader variety of applications. This experimental study enables the shapes and mechanical properties of the microneedles to be predicted in advance for mass production and wide practical use for biomedical or cosmetic applications.
Flexible and Stretchable Bioelectronics: Article reviewing several several flexible and stretchable materials used as substrate, stretchable electrical conduits and encapsulation, design modifications for stretchability, fabrication techniques, methods of signal transmission and monitoring, and the power sources for these stretchable bioelectronics. Ultimately, these bioelectronic devices can be used for wide range of applications from skin bioelectronics and biosensing devices, to neural implants for diagnostic or therapeutic purposes.
Friction stir-based additive manufacturing: This article is a review of friction stir additive manufacturing (FSAM) and additive friction stir deposition (AFSD) and provides a systems approach framework and a conceptual process model to guide researchers.
Friction stir welding of SS 316 LN and Nitronic 50 jacket sections for application in superconducting fusion magnet systems: Article explores the possibility of using friction stir welding (FSW) to join jacket web sections of two nitrogen-containing stainless steels for housing internally cooled superconducting cables which are utilized to generate magnetic fields in tokamak type fusion reactor systems. It has been shown that the FSW fabricated SS 316 LN jackets possessed the required strength and magnetic properties critical to this application.
G-DaM: A Distributed Data Storage with Blockchain Framework for Management of Groundwater Quality Data: Authors discuss their use of a distributed and decentralized architecture to store the statistics, perform double hashing, and implement access control through smart contracts to forecast groundwater availability. Their work demonstrates a modern and innovative approach combining Distributed Data Storage and Blockchain technologies to overcome traditional data sharing, and centralized storage, while addressing blockchain limitations.
Gas tungsten arc welding of as-cast AlCoCrFeNi2.1 eutectic high entropy alloy: Article states that the AlCoCrFeNi2.1 eutectic high entropy alloy is of great interest due to its unique mechanical properties combining both high strength and plasticity. This work establishes the potential for using arc-based welding for joining eutectic high entropy alloys.
A Gaze into the Internal Logic of Graph Neural Networks, with Logic: Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.
Highly complex magnetic behavior resulting from hierarchical phase separation in AlCo(Cr)FeNi high-entropy alloys: Article presents for the first time the influence of a hierarchically decomposed B2 + A2 structure in an AlCo0.5Cr0.5FeNi HEA on the formation of magnetic vortex states within individual A2 (disordered BCC) precipitates, which are distributed in an ordered B2 matrix that is weakly ferromagnetic.
Infrared radiative switching with thermally and electrically tunable transition metal oxides-based plasmonic grating: Article says that plasmonic and phase transition has been blended to gain the infrared radiative switching which is tunable with temperature or voltage supply. This is applied via vanadium dioxide, tungsten trioxide, and molybdenum trioxide as transition metal oxides (TMO), the authors state that the work expands the usage of transition metal oxides in infrared region with larger contrast.
Inkjet-printed graphene’s electrical response to external gas flow for sensing applications: Article discusses how understanding gas flow behavior is crucial in the ability of materials to sense toxic gasses for environmental, industrial, safety, agriculture, and related applications. In their study, the authors measure the electrical transport characteristics of ink jet printed graphene to incoming gas flow, specifically to N2 and CO2. This work serves as a prototypical platform to study the device characteristics of solution processed graphene and other 2D materials for more exotic gases in the future for gas sensing applications.
Light-matter Interactions in Transition Metal Dichalcogenides and Organohalide Perovskites for Photoabsorbers and Solar Cells: Article discusses findings on two distinct classes of van der Waals solids, that based on in-organic transition metal dichalcogenides and the other based on a hybrid mixed organic-inorganic composition of 2D perovskites, specifically organo-halides (CH3(CH2)3NH3)2(CH3NH3)n-1PbnI3n+1.
Mechanical and Rheological Properties of Bamboo Pulp Fiber Reinforced High Density Polyethylene Composites: Influence of Nano CaCO3 Treatment and Manufacturing Process with Different Pressure Ratings: Article investigating the effect of the relative motion of nano CaCO3 reinforced bamboo pulp fiber (BPF)/HDPE composite components on the mechanical performance.
A multi modal approach to microstructure evolution and mechanical response of additive friction stir deposited AZ31B Mg alloy: Article explores solid-state additive manufacturing of AZ31B-Mg alloy using additive friction stir deposition. Spatial and temporal evolution of temperature during additive friction stir deposition was predicted using multi-layer computational process model.
Nanocrown electrodes for parallel and robust intracellular recording of cardiomyocytes: Article develops vertically-aligned nanocrown electrodes that are mechanically robust and achieve > 99% success rates in obtaining intracellular access through electroporation. This technology development provides an advancement towards establishing an iAP screening assay for preclinical evaluation of drug-induced arrhythmogenicity.
Novel thin polymeric magnetic membranes study for applications in the future biomedical devices: Article describes how biomedical devices such as pumping/mixing fluids, cell-culturing, and drug delivery often use different actuation methods. In regard to magnetic actuation, membranes with a local distribution of magnetic particles are investigated and compared to membranes with randomly distributed magnetic particles, which in turn may enhance the actuation performance for certain applications.
Optical Property and Stability Study of CH₃(CH₂)₃NH₃)₂(CH₃NH₃)₃Pb₄I₁₃ Ruddlesden Popper 2D Perovskites for Photoabsorbers and Solar Cells and Comparison with 3D MAPbI₃: Article discussing two-dimensional organic halide layered perovskites in the Ruddlesden Popper structure (CH3(CH2)3NH3)2(CH3NH3)n􀀀1PbnI3n+1) layered perovskites in the Ruddlesden Popper structure, represented as BA2MA3Pb4I13 for the n = 4 formulation, for both photoabsorbers in a two-terminal architecture and solar cells. A comparative study of the 3DP and 2DP film stability was also conducted.
OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans: Article asserts that the foot is a vital organ, as it stabilizes the impact forces between the human skeletal system and the ground. The authors present an instep girth measurement algorithm, and they used a pixel per metric algorithm for measurement; these algorithms were accordingly integrated with the application.
A Parallel Convolution and Decision Fusion-Based Flower Classification Method: This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.
Pathological Targets for Treating Temporal Lobe Epilepsy: Discoveries From Microscale to Macroscale: This review article summarizes the latest neuropathological discoveries at the molecular, cellular, and tissue levels involving both animal and patient studies, aiming to explore epileptogenesis and highlight new potential targets in the diagnosis and treatment of temporal lobe epilepsy (TLE).
PharmaChain: A blockchain to ensure counterfeit‐free pharmaceutical supply chain: Article discusses how globalisation has facilitated different industries to eliminate geographical boundaries and equipped organisations to work collectively to produce goods. The authors of the article propose a novel Distributed Ledger Technology (DLT) based transparent supply chain for PSC and proof-of-concept is implemented to analyse the scalability and efficiency of the proposed architecture.
Photoexcitation of C₆₀-WSe₂ hybrids for optical sensing: Article discusses a study on synthesizing 0D-2D vdW heterostructure by spin coating C60 molecules on halide-assisted-low-pressure chemical-vapor-deposition (HA-LPCVD) produced monolayer WSe2 flakes. The study reveals that WSe2-C60 hybrid system is an appealing choice for next generation optical sensing devices.
Plexcitonic interactions in spherical and bi-pyramidical Au nanoparticles with monolayer WSe₂: Article describes how plasmons associated with zero-dimensional (0D) metal nanoparticles and their synergistic interactions with excitons in two-dimensional (2D) semiconductors offer opportunities for remarkable spectral tunability not otherwise evident in the pristine parent materials, which necessitates an in-depth study elucidating the nature of the plasmonic and excitonic interactions, jointly referred to as plexcitons in order to understand the foundational aspects of the light–matter interactions in hybrid 0D–2D systems. The authors examine the plexcitonic interactions of van der Waals (vdWs) hybrid structures composed of 2D WSe2 and 0D Au nanoparticles (Au-NPs) in their spherical (Au-Sp) and bi-pyramidical (Au-BP) architectures, which demonstrates that geometry-mediated response of the AuNPs provides another degree of freedom to modulate the carrier photodynamics in WSe₂.
Polymorphic nature of {332} 〈 113 〉 twinning mode in BCC alloys: Article using ab initio calculations and experimental observations to show that {332}<113> twinning can be described as a polymorphic solid-state transformation able to produce either twinned or martensitic structures with a unified transformation path.
Predicting initial dissolution rates using structural featuresfrom molecular dynamics simulations: Article states that predicting the chemical durability of glass materials is important for various applications from daily life such as cell phone screens and kitchenware to advanced technologies such as nuclear waste disposal and biomedicine. In this work, we explored the prediction of the initial glass dissolution rates using structural features from molecular dynamics (MD) simulations for a series of glass compositions (total 28), including ZrO2- and V2O5-containing boroaluminosilicate, borosilicate, and aluminosilicate glasses.
Preparation of functional fiber hybrid enhanced high strength and multifunctional protein based adhesive: Article discusses how protein based adhesive is limited by poor mechanical properties and water resistance. This simple and green preparation method provided a new strategy for the production of high-performance, multifunctional and economically effective SM based adhesive.
Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing: Article discusses how with the wider adoption of edge computing services, intelligent edge devices, and high-speed V2X communication, compute-intensive tasks for autonomous vehicles, such as object detection using camera, LiDAR, and/or radar data, can be partially offloaded to road-side edge servers. The authors aim to address the privacy problem by protecting both vehicles' sensor data and the detection results.
Probabilistic Seismic Assessment of CoSPSW Structures Using Fragility Functions: This article presents a study on the probabilistic assessment of the seismic performance and vulnerability of corrugated steel plate shear walls (CoSPSWs) using fragility functions.
Progress in Superlubricity Across Different Media and Material Systems—A Review: Article provides an overview of recent progress in superlubricity research involving solid, liquid, and gaseous media and discuss the prospects for achieving superlubricity in engineering applications leading to greater efficiency, durability, environmental quality, and hence global sustainability.
A pseudo thermo-mechanical model linking process parameters to microstructural evolution in multilayer additive friction stir deposition of magnesium alloy: Article describes how additive friction stir deposition has been proposed as a disruptive manufacturing process; involving complex thermo-mechanical mechanisms during multilayer material deposition. The primary motivation for development of the model was to seek an understanding of thermo-mechanical mechanisms and their impact on microstructural evolution during additive friction stir deposition.
Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model: This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends: Article states that vaccines, though reliable preventative measures for diseases, also raise public concerns; public apprehension and doubts challenge the acceptance of new vaccines including the COVID-19 vaccines. This study is the first attempt to review the role of AI approaches in COVID-19 vaccination-related sentiment analysis.
Role of Cu addition in enhancing strength-ductility synergy in transforming high entropy alloy: Article investigates the strength-ductility synergy of high-entropy alloys (HEAs).
Scalable, top-down optical lithography for electrically contacting monolayer crystallites of vapor grown WSe2 for gas sensing applications: Article discusses how semiconducting two-dimensional transition-metal dichalcogenides (TMDs) have garnered a great deal of interest owing to their large surface-to-volume ratios compared to traditional three-dimensional (3D) semiconductors, and focuses on a specific TMD; tungsten diselenide (WSe₂). In their study, the authors demonstrate the halide-assisted low-pressure chemical vapor deposition (HA-LPCVD) of high crystalline-quality, monolayer WSe₂.

UNT College of Engineering - 65 Matching Results

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