UNT College of Engineering - 948 Matching Results

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Bayesian analysis of complex mutations in HBV, HCV, and HIV studies: This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
The Effect of Magnesium Deficiency on Neurological Disorders: A Narrative Review Article: This article critically discusses the role of Magnesium by reviewing recent literature and available data concerning the role of magnesium in neurological disorders. The authors summarize the role of Mg in neurological disorders to illustrate the symptoms caused by Mg-deficiency and the possible underlying mechanisms.
Fundamentals of three-dimensional Yb-fiber Nd:YAG laser machining of structural bone: This article presents a study that aims to understand the fundamental aspects of the laser-bone interaction in three-dimensional laser machining of the bone through an integrated experimental-computational approach.
Growth of pulsed laser deposited few-layer WS2 films: This article performs X-ray photoelectron, Raman, and diffraction studies of few-layered pulsed laser deposited WS₂ films as a function of laser fluence and frequency to understand the impact on structure and properties.
Application-based design of the Fresnel lens solar concentrator: Article investigates a novel genetically themed hierarchical algorithm (GTHA) to design Fresnel lens solar concentrators that match with the distinct energy input and spatial geometry of various thermal applications.
Incorporating Emoji Descriptions Improves Tweet Classification: Article presenting a simple strategy to process emojis in Tweets: replace them with their natural language description and use pretrained word embeddings as normally done with standard words. Results show that this strategy is more effective than using pretrained emoji embeddings for tweet classification.
Annotating Reflections for Health Behavior Change Therapy: Article presents work on annotating reflections, an essential counselor behavioral code in motivational interviewing for psychotherapy on conversations that are a combination of casual and therapeutic dialogue.
Annotating Educational Questions for Student Response Analysis: Article introduces the first taxonomy and annotated educational corpus of questions that aims to help with the analysis of student responses.
A Corpus of Metaphor Novelty Scores for Syntactically-Related Word Pairs: Article introduces a large corpus of metaphor novelty scores for syntactically related word pairs, and releases it freely to the research community. This article describes the corpus, includes an analysis of its score distribution and the types of word pairs included in the corpus, and provides a brief overview of standard metaphor detection corpora.
Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies: Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.
Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies: Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Graphene-covered transition metal halide molecules as efficient and durable electrocatalysts for oxygen reduction and evolution reactions: Author Manuscript version of an article designing a new type of electrocatalysts consisting of transition metal halide molecules covered by graphene sheets. This work provides a theoretical base for rationally designing durable electrocatalysts with excellent catalytic activities.
A New Cable-Less Seismograph with Functions of Real-Time Data Transmitting and High-Precision Differential Self-Positioning: This article developed a new cable-less seismograph system, which can transmit seismic data in real-time and automatically perform high-precision differential self-positioning. Combining the ZigBee technology with the high-precision differential positioning module, this new seismograph system utilized the wireless personal area network (WPAN) and real-time kinematic (RTK) technologies to improve its on-site performances and to make the field quality control (QC) and self-positioning possible. With the advantages of low-cost, good scalability, and good compatibility, the proposed new cable-less seismograph system can improve the field working efficiency and data processing capability. It has potential applications in noise seismology and mobile seismic monitoring.
Embedded Corrosion Sensing with ZnO-PVDF Sensor Textiles: Article investigating a non-conductive sensor textile as a viable solution for corrosion in underground and submerged steel pipes. The results offer a new option for sub-surface corrosion sensing using low cost, easily fabricated sensor textiles.
Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction: This article presents a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. The authors discuss the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in massive MIMO systems and discuss state-of-the-art mitigation techniques. Recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems are outlined. Finally, future research for massive MIMO systems for 5G and beyond is discussed.
Prolate and oblate chiral liquid crystal spheroids: Article examining the palette of morphologies that arises when microdroplets are deformed into nonspherical shapes in a controllable manner. Specifically, geometrical confinement and mechanical strain are used to manipulate orientational order, phase transitions, and topological defects that arise in chiral liquid crystal droplets. The reported structures and assemblies offer potential for applications in smart coatings, smart fabrics, and wearable sensors.
Correlating work hardening with co-activation of stacking fault strengthening and transformation in a high entropy alloy using in-situ neutron diffraction: Article using in-situ neutron diffraction to correlate SF strengthening to work hardening behavior in a low SFE Fe40Mn20Cr15Co20Si5 (at%) high entropy alloy, SFE ~ 6.31 mJ m−2. Cooperative activation of multiple mechanisms was indicated by increases in SF strengthening and γ-f.c.c. → ε-h.c.p. transformation leading to a simultaneous increase in strength and ductility. The present study demonstrates the application of in-situ, neutron or X-ray, diffraction techniques to correlating SF strengthening to work hardening.
Compostable, fully biobased foams using PLA and micro cellulose for zero energy buildings: Article examining foams made from polylactic acid (PLA) and micro cellulose fibrils (MCF) to address the need for bio-resourced foams for the building industry.
Computational Assessment of Thermokinetics and Associated Microstructural Evolution in Laser Powder Bed Fusion Manufacturing of Ti6Al4V Alloy: This article develops a three-dimensional thermokinetic model based on the finite element method to correlate with the microstructure evolved in additively manufactured Ti6Al4V alloy.
Can a simple topological-constraints-based model predict the initial dissolution rate of borosilicate and aluminosilicate glasses?: This article, as an alternative route to empirical models, shows that a structural descriptor based on the number of topological constraints per atom can be used to predict the initial dissolution rate of aluminosilicate and borosilicate glasses after being parameterized on different families of glasses (specific series of borosilicate glasses). Results show that, provided that corrections are made for high alkali content glasses that dissolve incongruently (preferential release of Na), the model gives reasonable predictions, even far from its training domain.
Tomographic mapping of the nanoscale water-filled pore structure in corroded borosilicate glass: This article applies cryo-based atom probe tomography to directly reveal the water-solid interface and hydrated corrosion layers making up the nanoscale porous structure of a corroded borosilicate glass in its native aqueous environment. The analysis includes morphology and compositional mapping of the inner gel/glass interface, isolation of a tomographic sub-volume of the tortuous water-filled gel, and comparison of the gel structure with simulations.
Insights into the mechanisms controlling the residual corrosion rate of borosilicate glasses: Article examining the glass durability and residual rate of borosilicate glass. The authors focus on the behavior of the soluble elements of the International Simple Glass (B, Na, and Ca) to show that the residual rate is controlled by the behavior of B, a glass former supposed to dissolve instantaneously when in contact with water and thus widely considered as an ideal tracer. The article demonstrates that B release is controlled by multiple processes highly dependent on the pH. A new paradigm, including B as a key element of the system, is proposed to develop a comprehensive model for the corrosion of borosilicate glass.
Hydrogen bonding interactions of H2O and SiOH on a boroaluminosilicate glass corroded in aqueous solution: This article simulates hydrous species (H2O and Si-OH) on nano-porous alteration layers (gels) formed on a boroaluminosilicate glass called International Simple Glass corroded in aqueous solutions at pH 7 and pH 9, and initially saturated with soluble silicon-containing species were analyzed using linear and non-linear vibrational spectroscopy in combination with molecular dynamics simulations. The simulation and experimental results obtained in this study indicate that the water mobility in the gel formed at pH 9 could be slower than that in the gel formed at pH 7, and as a result, the leaching rate at pH 9 is slower than that at pH 7.
Hollow Mesoporous Microspheres Coating for Super-Hydrophobicity Wood with High Thermostability and Abrasion Performance: Article investigating the formation of hydrophobic layers on wood surface without breaking the wood’s original structure. Results suggested that the nano and micron hollow mesoporous microsphere coating was an effective method to fabricate extremely hydrophobic wood products.
Sodium Lignosulfonate Modified Polystyrene for the Removal of Phenol from Wastewater: Article synthesizing an eco-friendly and novel water treatment material using sodium lignosulfonate modified polystyrene (SLPS), which can be used to eliminate phenols in aqueous solution. Results show that SLPS displayed a great potential for eliminating phenol from polluted water as a kind of novel and effective adsorbent.
Plasmon-resonance emission tailoring of “origami” graphene-covered photonic gratings: Article focusing on the modification of optical properties through folding, or “origami,” of graphene covering a plasmonic metal channel grating. This work is especially critical to understanding tailored deep plasmon emission from geometrically-modulated conducting sheets such as graphene.
Characterization of Soft Tooling Photopolymers and Processes for Micromixing Devices with Variable Cross-Section: Article characterizing an assortment of photopolymers and stereolithography processes to produce 3D-printed molds and polydimethylsiloxane (PDMS) castings of micromixing devices. The study shows that 3D-printed soft tooling can provide other benefits such as multiple cross-sections and other potential layouts on a single mold.
Complex Concentrated Alloys (CCAs)—Current Understanding and Future Opportunities: Article providing an overview of the special issue titled Complex Concentrated Alloys (CCAs) - Current Understanding and Future Opportunities. The published papers in this special issue aim to report on the current state of research in complex concentrated alloys (CCAs) as well as compelling future opportunities in wide ranging applications.
Opportunities and Issues in the Application of Titanium Alloys for Aerospace Components: This article describes recent developments, issues, and opportunities associated with the production and use of Ti and its alloys in aerospace components. Included are new Ti alloys, new applications of Ti alloys, and the current status of several manufacturing processes including a discussion of the promise and current reality of additive manufacturing as a potentially revolutionary method of producing Ti alloy components.
Extended CT Void Analysis in FDM Additive Manufacturing Components: This article provides an extended analysis of void shape by means of X-ray computed tomography (CT) applied to fused deposition modeling (FDM) samples. Furthermore, a relation between the tensile mechanical properties and digital void measurements is established. The results lead to the formulation of a novel criterion that predicts the mechanical behavior of AM components.
Exploring Edge Computing in Multi-Person Mixed Reality for Cooperative Perception: Article and accompanying poster presenting a prototype for the use of Edge with MR devices to provide cooperative perception capability to the MR device.
JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases: Article develops a a simple, fast, and powerful method, named JS-MA, based on Jensen-Shannon divergence and agglomerative hierarchical clustering, to detect the genome-wide multi-locus interactions associated with multiple diseases.
A Performance Study of Some Approximation Algorithms for Computing a Small Dominating Set in a Graph: Article implements and tests the performances of several approximation algorithms for computing the minimum dominating set of a graph. This article belongs to the Special Issue: Algorithms for Hard Graph Problems.
Rapid thermokinetics driven nanoscale vanadium clustering within martensite laths in laser powder bed fused additively manufactured Ti6Al4V: Article reports the computational approach adopted for thermo-diffusion kinetics to rationalize homogenously distributed nanoscale vanadium-rich clusters formed within the martensite laths of Ti6Al4V alloy printed using laser powder bed fusion at an energy density of 52.08J/mm³.
Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity: Article investigating HUMIRA effects mentioned in Twitter posts using a relational similarity-based method. The authors were able to identify effects previously known as well as potentially unreported, which demonstrates the power of this method and its potential for studying effects of other medications shared by Twitter users.
Deriving Theorems in Implicational Linear Logic, Declaratively: This article aims to generate all theorems of a given size in the implicational fragment of propositional intuitionistic linear logic. It was presented at the 36th International Conference on Logic Programming (ICLP).
Preparation of Surface-Modified Nanocellulose from Sugarcane Bagasse by Concurrent Oxalic Acid-Catalyzed Reactions: Article presenting research where concurrent oxalic acid-catalyzed reactions, including cellulose hydrolysis and esterification of the hydrolyzed cellulose, were performed to prepare the nanocellulose from sugarcane bagasse.
Engineering transformation pathways in an Al0.3CoFeNi complex concentrated alloy leads to excellent strength–ductility combination: Article reports a novel multi-phase microstructure in a HEA/CCA similar to the microstructure observed in dual-phase stainless steel.
Extracting Possessions from Social Media: Images Complement Language: This article describes a new dataset and experiments to determine whether authors of tweets possess the objects they tweet about.
Characterizing Interactions and Relationships between People: Article presents a set of dimensions to characterize the association between two people. The authors introduce and analyze a new corpus, and present experimental results showing that the task can be automated.
Possessors Change Over Time: A Case Study with Artworks: Article presents a corpus and experimental results to extract possession relations over time, using Wikipedia articles about artworks.
Fine-Grained Emotion Detection in Health-Related Online Posts: This article detects fine-grained emotion types from health-related posts and shows how high-level and abstract features derived from deep neural networks combined with lexicon-based features can be employed to detect emotions.
Sc3N@C80 and La@C82 doped graphene for a new class of optoelectronic devices: This is the Author Manuscript version of an article presenting high-performance hybrid graphene photodetectors prepared with endohedral fullerenes deposited on graphene using electrophoretic methods for the first time.
BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases: Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
An Experiment-Based Review of Low-Light Image Enhancement Methods: Article reviews the current techniques of low-light image enhancement.
Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning: Article presents research that creates an automatic repetition counting system that is flexible enough to measure multiple distinct and repeating movements during physical therapy without being trained on the specific motion.
Correlation between bonding, vacancy migration mechanisms, and creep in model binary and ternary hcp-Mg solid solutions: Article compares in-plane (IP) and out-of-plane (OOP) vacancy migration mechanisms in binary Mg–X (Ca, Y, and Gd) and ternary Mg–X (Ca, Y, and Gd)–Zn alloys using density functional theory based first principles computations.
Selective H2 sensing using lanthanum doped zinc oxide thin film: A study of temperature dependence H2 sensing effect on carrier reversal activity: Article demonstrates a highly sensitive H₂ gas sensor using a lanthanum doped ZnO (La_ZnO) thin film operated at 300 °C. Pure and lanthanum doped (1–10 at. %) ZnO thin films were successfully synthesized using the sol-gel route.
Properties of lightweight concrete blocks with waste zeolitic tuff: Article presents an alternative block wall with Bayburt stone (BS) containing zeolite, namely lightweight concrete masonry blocks (LCMBs).
Durability of Portland Concrete Containing Polymeric Fillers and Fly Ash: Article explores degradation of Portland concrete and finds that the combination of fly ash with polymers provides significantly improved properties.

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