Search Results

Activation Volume and Energy for Dislocation Nucleation in Multi-Principal Element Alloys
Paper describes study evaluating incipient plasticity in multi-principal element alloys, CoCrNi, CoCrFeMnNi, and Al0.1CoCrFeNi by nano-indentation and compared with pure Ni.
Adaptación de un modelo de claros para el estudio de la dinámica de un bosque estacional en los llanos occidentales de Venezuela
Article discussing the adaptation of a gap model to the study of the dynamics of a seasonal forest in the western plains of Venezuela.
Adaptive and Non Adaptive Long Term Evolution Fractional Frequency Reuse Mechanisms Mobility Performance
Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.
Additive friction stir deposition: a deformation processing route to metal additive manufacturing
This article outlines key advantages of additive friction stir deposition, e.g. rendering fully-dense material in the as-printed state with fine, equiaxed microstructures, identifies its niche engineering uses, and points out future research needs in process physics and materials innovation.
Additive Manufacturing of Metals: A Brief Review of the Characteristic Microstructures and Properties of Steels, Ti-6al-4v and High-Entropy Alloys
This article presents a brief review of the microstructures and mechanical properties of selected metallic alloys processed by additive manufacturing (AM).
Advanced Air Mobility Operation and Infrastructure for Sustainable Connected eVTOL Vehicle
Article discusses how advanced air mobility (AAM) is an emerging sector in aviation aiming to offer secure, efficient, and eco-friendly transportation utilizing electric vertical takeoff and landing (eVTOL) aircraft. This paper introduces a novel concept addressing future flight challenges and proposes a framework for integrating operations, infrastructure, connectivity, and ecosystems in future air mobility.
Advancing Reverse Electrowetting-on-Dielectric from Planar to Rough Surface Electrodes for High Power Density Energy Harvesting
Article presenting electrical and multiphysics-based modeling approaches of REWOD energy harvester using structured rough surface electrodes. By enhancing the overall available surface area, an increase in the overall capacitance is achieved.
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks
Article discussing a resource efficient and scalable approach to routing in large communication networks.
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.
Air Corridors: Concept, Design, Simulation, and Rules of Engagement
Article presenting fundamental insights into the design of air corridors with high operational efficiency as well as zero collisions. It begins with the definitions of air cube, skylane or track, intersection, vertiport, gate, and air corridor. Then a multi-layered air corridor model is proposed. Traffic at intersections is analyzed in detail with examples of vehicles turning in different directions. The concept of capacity of an air corridor is introduced along with the nature of distribution of locations of vehicles in the air corridor and collision probability inside the corridor are discussed. Finally, results of traffic flow simulations are presented.
Algorithmically Optimized Hemispherical Dome as a Secondary Optical Element for the Fresnel Lens Solar Concentrator
This article focuses on a way to maximize the concentration acceptance product (CAP), while using the minimum SOE and receiver geometry at a given f-number and incidence angle (also referred to as the tracking error angle). The laws of polychromatic light refraction along with trigonometry and spherical geometry were utilized to optimize the POE grooves, SOE radius, receiver size, and SOE–receiver spacing.
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation
Article presents a new benchmark for natural language inference in which negation plays a critical role and shows that state-of-the-art transformers struggle making inference judgments with the new pairs.
An Analysis of the Habitat of the Greater One-Horned Rhinoceros Rhinoceros Unicornis (Mammalia: Perissodactyla: Rhinocerotidae) at the Chitwan National Park, Nepal
This article uses geographic information systems and landscape-level data obtained from remote sensing sources to build a habitat suitability index model for the Greater One-horned Rhinoceros.
Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model
Article describes how COVID-19 affected the world's economy severely and increased the inflation rate in both developed and developing countries. This study performs an analysis of the impact of COVID-19 on public opinion and sentiments regarding the financial markets and crypto markets.
Analyzing the Effectiveness of Microlubrication Using a Vegetable Oil-Based Metal Working Fluid during End Milling AISI 1018 Steel
This article describes a study in which a vegetable oil-based lubricant was used to conduct wear analysis and to analyze the effectiveness of microlubrication during end milling AISI 1018 steel.
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.
Annotating If Authors of Tweets are Located in the Locations They Tweet About
Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.
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 Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies
Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.
Anthropo-fidelic behavior of elastic-plastic lattice structures
Article discusses how vat photopolymerization is used to construct triply periodic minimal surfaces (TPMS) to match human heel pad stiffness. This work substantiates the suitability of latticed models to reach the stiffness of the heel pad chambers.
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.
Application of a Thermoplastic Polyurethane/Polylactic Acid Composite Filament for 3d-Printed Personalized Orthosis
Article exploring a suitable material for designing and fabricating personalized, cost-effective and bio-degradable orthoses. A finger orthosis was chosen as an example to explore a suitable material, personalized design method, and fabrication with a fuse-deposition-modeling (FDM) open-source 3D printer. Thermoplastic polyurethane (TPU)/polylactic acid (PLA) composite filaments were explored for 3D printing.
The Application of BP Neural Networks to Analysis the National Vulnerability
Article uses the analytic hierarchy process (AHP) and natural breakpoint method (NBM) to implement an AHP-NBM comprehensive evaluation model to assess the national vulnerability to climate change.
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.
Architecture Support for 3D Obfuscation
Article discussing research on architecture support for 3D obfuscation.
Artificial Intelligence for Colonoscopy: Past, Present, and Future
Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
Assessing potential impacts of CO2 - and deforestation - induced climate change on maize and black bean in Venezuela
Article on assessing potential impacts of CO2 and deforestation induced climate change on maize and black bean in Venezuela.
Atomic Distribution in Catalytic Amorphus Metals
This article investigates the atomic distribution in catalytically active metallic glass alloys using three-dimensional atom probe microscopy.
Atomic Simulations of Twist Grain Boundary Structures and Deofrmation Behaviors in Aluminum
This article investigates twist grain boundaries with molecular dynamic simulations to reveal their atomic structures, energy and interactions with dislocations.
Attention-Based Dense Point Cloud Reconstruction From a Single Image
Article proposes a two-stage training dense point cloud generation network.
Attitudes and Behaviors Towards Risky Driving Among Adolescents in Saudi Arabia
This article investigates perceptions and attitudes of school youth concerning risky driving behaviors in Saudi Arabia.
Author Correction: MXene/graphene oxide nanocomposites for friction and wear reduction of rough steel surfaces
Correction to the article points out an error in Figure 1e. The figure is corrected in this article.
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.
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.
Automatic Identification of Research Articles from Crawled Documents
Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
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.
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.
A Bio-Hygromorph Fabricated with Fish Swim Bladder Hydrogel and Wood Flour-Filled Polylactic Acid Scaffold by 3D Printing
Describes a study where researchers constructed a bio-hygromorph using fish swim bladder hydrogel as the hydrophilic material and wood flour-filled polylactic acid (WPLA) scaffold, which was printed with fused deposition modeling (FDM) 3D printing technology (3DP).
Bioabsorbable zinc ion induced biphasic cellular responses in vascular smooth muscle cells
This article explores the short-term effects of extracellular Zn²⁺ on human smooth muscle cells.
Bioactive glass coatings on metallic implants for biomedical applications
Article provides a detailed overview of the benefits and issues of metal alloys when used as biomedical implants and how they are improved by bioactive glass-based coatings for biomedical applications.
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.
Biocompatible, large-format, inkjet printed heterostructure molybdenum disulfide-graphene photodetectors on conformable substrates
This article describes an inkjet printed, biocompatible, heterostructure photodetector that was constructed using inks of photo-active molybdenum disulfide (MoS2) and electrically conducting graphene which facilitated charge collection of the photocarriers. The importance of such devices stems from their potential utility in age-related-macular degeneration, which is a condition where the photosensitive retinal tissue degrades with aging, eventually compromising vision. The absence of effective therapeutic remedies for patients with this disorder has motivated the development of such devices to restore some degree of visual function.
Biofunctionalization of metallic implants by calcium phosphate coatings
Article provides a brief summary of state-of-art of surface biofunctionalization on implantable metals by CaP coatings.
Bioresorbable stent to manage congenital heart defects in children
This article assembles large, pediatric-sized stents (Ø10 - Ø20 mm) from poly(L-lactide) fibers (DH-BDS) at two thicknesses, 250 µm and 300 µm. DH-BDS exhibiting hoop strength similar to metal stents and demonstrating minimal degradation and strength loss over the first year before completely disappearing within 3 to 4.5 years show promise as a pediatric interventional alternative to current strategies.
Black Phosphorus-Molybdenum Disulfide Hetero-Junctions Formed with Ink-Jet Printing for Potential Solar Cell Applications with Indium-Tin-Oxide
Article on the implementation of liquid exfoliation to inkjet-print two-dimensional (2D) black phosphorous (BP) and molybdenum disulfide (MoS₂) p–n heterojunctions on a standard indium tin oxide (ITO) glass substrate in a vertical architecture. The authors also compared the optical and electrical properties of the inkjet-printed BP layer with that of the MoS₂ and the electrical properties of the mechanically exfoliated MoS₂ with that of the inkjet-printed MoS₂.
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.
Boosting Piezoelectricity by 3D Printing PVDF-MoS2 Composite as a Conformal and High-Sensitivity Piezoelectric Sensor
Article describes how additively manufactured flexible and high-performance piezoelectric devices are highly desirable for sensing and energy harvesting of 3D conformal structures. This study reports a significantly enhanced piezoelectricity in polyvinylidene fluoride (PVDF) achieved through the in situ dipole alignment of PVDF within PVDF-2D molybdenum disulfide composite by 3D printing.
Bottom-up assembly of metallic germanium
This article demonstrates that free electrons from distinct 2D dopant layers coalesce into a homogeneous 3D conductor using anisotropic quantum interference measurements, atom probe tomography, and density functional theory.
Branching of Titanium Nanorods
This article reports that Ti nanorod branching occurs at a low homologous temperature of 0.28 based on physical vapor deposition and characterizations using electron microscopy and X-ray diffraction. The insight into conditions for branching, together with the determination of the morphology and crystal orientation of the branches, lay the foundation for further studies of branching mechanisms and driving force.
Breaking the MDS-PIR Capacity Barrier via Joint Storage Coding
Paper explores the possibility of the capacity of private information retrieval (PIR) from databases coded using maximum distance separable (MDS) codes to be broken through joint encoding and storage of messages.
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