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Articles 361 - 390 of 6056
Full-Text Articles in Physical Sciences and Mathematics
Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch
Enhanced Neurologic Concept Recognition Using A Named Entity Recognition Model Based On Transformers, Sima Azizi, Daniel B. Hier, Donald C. Wunsch
Chemistry Faculty Research & Creative Works
Although Deep Learning Has Been Applied to the Recognition of Diseases and Drugs in Electronic Health Records and the Biomedical Literature, Relatively Little Study Has Been Devoted to the Utility of Deep Learning for the Recognition of Signs and Symptoms. the Recognition of Signs and Symptoms is Critical to the Success of Deep Phenotyping and Precision Medicine. We Have Developed a Named Entity Recognition Model that Uses Deep Learning to Identify Text Spans Containing Neurological Signs and Symptoms and Then Maps These Text Spans to the Clinical Concepts of a Neuro-Ontology. We Compared a Model based on Convolutional Neural Networks …
It’S Time To Change Our Documentation Philosophy: Writing Better Neurology Notes Without The Burnout, Jorge M. Rodríguez-Fernández, Jeffrey A. Loeb, Daniel B. Hier
It’S Time To Change Our Documentation Philosophy: Writing Better Neurology Notes Without The Burnout, Jorge M. Rodríguez-Fernández, Jeffrey A. Loeb, Daniel B. Hier
Chemistry Faculty Research & Creative Works
Succinct Clinical Documentation is Vital to Effective Twenty-First-Century Healthcare. Recent Changes in Outpatient and Inpatient Evaluation and Management (E/M) Guidelines Have Allowed Neurology Practices to Make Changes that Reduce the Documentation Burden and Enhance Clinical Note Usability. Despite Favorable Changes in E/M Guidelines, Some Neurology Practices Have Not Moved Quickly to Change their Documentation Philosophy. We Argue in Favor of Changes in the Design, Structure, and Implementation of Clinical Notes that Make Them Shorter Yet Still Information-Rich. a Move from Physician-Centric to Team Documentation Can Reduce Work for Physicians. Changing the Documentation Philosophy from "Bigger is Better" to "Short But …
Kinetic And Structural Characterization Of A Flavin-Dependent Putrescine N-Hydroxylase From Acinetobacter Baumannii, Noah S. Lyons, Alexandra N. Bogner, John J. Tanner, Pablo Sobrado
Kinetic And Structural Characterization Of A Flavin-Dependent Putrescine N-Hydroxylase From Acinetobacter Baumannii, Noah S. Lyons, Alexandra N. Bogner, John J. Tanner, Pablo Sobrado
Chemistry Faculty Research & Creative Works
Acinetobacter baumannii is a Gram-negative opportunistic pathogen that causes nosocomial infections, especially among immunocompromised individuals. The rise of multidrug resistant strains of A. baumannii has limited the use of standard antibiotics, highlighting a need for new drugs that exploit novel mechanisms of pathogenicity. Disrupting iron acquisition by inhibiting the biosynthesis of iron-chelating molecules (siderophores) secreted by the pathogen is a potential strategy for developing new antibiotics. Here we investigated FbsI, an N-hydroxylating monooxygenase involved in the biosynthesis of fimsbactin A, the major siderophore produced by A. baumannii. FbsI was characterized using steady-state and transient-state kinetics, spectroscopy, X-ray crystallography, and small-angle …
Tau Kinetics In Alzheimer's Disease, Daniel B. Hier, Sima Azizi, Matthew S. Thimgan, Donald C. Wunsch
Tau Kinetics In Alzheimer's Disease, Daniel B. Hier, Sima Azizi, Matthew S. Thimgan, Donald C. Wunsch
Chemistry Faculty Research & Creative Works
The Cytoskeletal Protein Tau is Implicated in the Pathogenesis of Alzheimer's Disease Which is Characterized by Intra-Neuronal Neurofibrillary Tangles Containing Abnormally Phosphorylated Insoluble Tau. Levels of Soluble Tau Are Elevated in the Brain, the CSF, and the Plasma of Patients with Alzheimer's Disease. to Better Understand the Causes of These Elevated Levels of Tau, We Propose a Three-Compartment Kinetic Model (Brain, CSF, and Plasma). the Model Assumes that the Synthesis of Tau Follows Zero-Order Kinetics (Uncorrelated with Compartmental Tau Levels) and that the Release, Absorption, and Clearance of Tau is Governed by First-Order Kinetics (Linearly Related to Compartmental Tau Levels). …
Conservative Unconditionally Stable Decoupled Numerical Schemes For The Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq System, Wenbin Chen, Daozhi Han, Xiaoming Wang, Yichao Zhang
Conservative Unconditionally Stable Decoupled Numerical Schemes For The Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq System, Wenbin Chen, Daozhi Han, Xiaoming Wang, Yichao Zhang
Mathematics and Statistics Faculty Research & Creative Works
We propose two mass and heat energy conservative, unconditionally stable, decoupled numerical algorithms for solving the Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq system that models thermal convection of two-phase flows in superposed free flow and porous media. The schemes totally decouple the computation of the Cahn–Hilliard equation, the Darcy equations, the heat equation, the Navier–Stokes equations at each time step, and thus significantly reducing the computational cost. We rigorously show that the schemes are conservative and energy-law preserving. Numerical results are presented to demonstrate the accuracy and stability of the algorithms.
Second-Order, Fully Decoupled, Linearized, And Unconditionally Stable Scalar Auxiliary Variable Schemes For Cahn–Hilliard–Darcy System, Yali Gao, Xiaoming He, Yufeng Nie
Second-Order, Fully Decoupled, Linearized, And Unconditionally Stable Scalar Auxiliary Variable Schemes For Cahn–Hilliard–Darcy System, Yali Gao, Xiaoming He, Yufeng Nie
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we establish the fully decoupled numerical methods by utilizing scalar auxiliary variable approach for solving Cahn–Hilliard–Darcy system. We exploit the operator splitting technique to decouple the coupled system and Galerkin finite element method in space to construct the fully discrete formulation. The developed numerical methods have the features of second order accuracy, totally decoupling, linearization, and unconditional energy stability. The unconditionally stability of the two proposed decoupled numerical schemes are rigorously proved. Abundant numerical results are reported to verify the accuracy and effectiveness of proposed numerical methods.
Discovery Of Two Inhibitors Of The Type Iv Pilus Assembly Atpase Pilb As Potential Antivirulence Compounds, Keane J. Dye, Nancy J. Vogelaar, Megan O'Hara, Pablo Sobrado, Webster Santos, Paul R. Carlier, Zhaomin Yang
Discovery Of Two Inhibitors Of The Type Iv Pilus Assembly Atpase Pilb As Potential Antivirulence Compounds, Keane J. Dye, Nancy J. Vogelaar, Megan O'Hara, Pablo Sobrado, Webster Santos, Paul R. Carlier, Zhaomin Yang
Chemistry Faculty Research & Creative Works
With the pressing antibiotic resistance pandemic, Anti virulence has been increasingly explored as an alternative strategy against bacterial infections. The bacterial type IV pilus (T4P) is a well-documented virulence factor and an attractive target for small molecules for Anti virulence purposes. The PilB ATPase is essential for T4P biogenesis because it catalyzes the assembly of monomeric pilins into the polymeric pilus filament. Here, we describe the identification of two PilB inhibitors by a high-throughput screen (HTS) in vitro and their validation as effective inhibitors of T4P assembly in vivo. We used Chloracidobacterium thermophilum PilB as a model enzyme to optimize …
Transcriptional Regulatory Network Topology With Applications To Bio-Inspired Networking: A Survey, Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das
Transcriptional Regulatory Network Topology With Applications To Bio-Inspired Networking: A Survey, Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das
Computer Science Faculty Research & Creative Works
The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This paradigm has led to considerable improvement in network latency and bandwidth usage over the traditional cloud-centric paradigm. However, the next generation networks continue to be stymied by their inability to achieve adaptive, energy-efficient, timely data transfer in a dynamic and failure-prone environment - the very optimization challenges that are dealt with by biological networks as a consequence of millions of years …
Dtc: A Dynamic Transaction Chopping Technique For Geo-Replicated Storage Services, Ning Huang, Lihui Wu, Weigang Wu, Sajal K. Das
Dtc: A Dynamic Transaction Chopping Technique For Geo-Replicated Storage Services, Ning Huang, Lihui Wu, Weigang Wu, Sajal K. Das
Computer Science Faculty Research & Creative Works
Replicating data across geo-distributed datacenters is usually necessary for large scale cloud services to achieve high locality, durability and availability. One of the major challenges in such geo-replicated data services lies in consistency maintenance, which usually suffers from long latency due to costly coordination across datacenters. Among others, transaction chopping is an effective and efficient approach to address this challenge. However, existing chopping is conducted statically during programming, which is stubborn and complex for developers. In this article, we propose Dynamic Transaction Chopping (DTC), a novel technique that does transaction chopping and determines piecewise execution in a dynamic and automatic …
Stable Matching Based Resource Allocation For Service Provider's Revenue Maximization In 5g Networks, Ajay Pratap, Sajal K. Das
Stable Matching Based Resource Allocation For Service Provider's Revenue Maximization In 5g Networks, Ajay Pratap, Sajal K. Das
Computer Science Faculty Research & Creative Works
5G technology is foreseen to have a heterogeneous architecture with the various computational capability, and radio-enabled service providers (SPs) and service requesters (SRs), working altogether in a cellular model. However, the coexistence of heterogeneous network model spawns several research challenges such as diverse SRs with uneven service deadlines, interference management, and revenue maximization of non-uniform computational capacities enabled SPs. Thus, we propose a coexistence of heterogeneous SPs and SRs enabled cellular 5G network and formulate the SPs' revenue maximization via resource allocation, considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a …
Pattern Selection In The Schnakenberg Equations: From Normal To Anomalous Diffusion, Hatim K. Khudhair, Yanzhi Zhang, Nobuyuki Fukawa
Pattern Selection In The Schnakenberg Equations: From Normal To Anomalous Diffusion, Hatim K. Khudhair, Yanzhi Zhang, Nobuyuki Fukawa
Mathematics and Statistics Faculty Research & Creative Works
Pattern formation in the classical and fractional Schnakenberg equations is studied to understand the nonlocal effects of anomalous diffusion. Starting with linear stability analysis, we find that if the activator and inhibitor have the same diffusion power, the Turing instability space depends only on the ratio of diffusion coefficients (Formula presented.). However, smaller diffusive powers might introduce larger unstable wave numbers with wider band, implying that the patterns may be more chaotic in the fractional cases. We then apply a weakly nonlinear analysis to predict the parameter regimes for spot, stripe, and mixed patterns in the Turing space. Our numerical …
Further Comments On "Engineering Shape Anisotropy Of Fe3o4-Γ-Fe2o3hollow Nanoparticles For Magnetic Hyperthermia", Fernande Grandjean, Gary J. Long
Further Comments On "Engineering Shape Anisotropy Of Fe3o4-Γ-Fe2o3hollow Nanoparticles For Magnetic Hyperthermia", Fernande Grandjean, Gary J. Long
Chemistry Faculty Research & Creative Works
In their earlier paper, Niraula et al. (ACS Appl. Nano Mater. 2021, 4, 3148-3158) described the morphological, compositional, and magnetic properties of three different magnetite/maghemite or Fe3O4/γ-Fe2O3, hollow nanoparticles, referred to herein as nanorings, short-nanotubes, and long-nanotubes. Scanning electron microscopy indicates that these nanoparticles have lengths of 275 ± 51, 411 ± 92, and 515 ± 98 nm and outer diameters of 201 ± 55, 251 ± 46, and 229 ± 42 nm, respectively, dimensions that are all rather similar in view of their distributions, as is shown in a figure herein. …
Predicting Guiding Entities For Entity Aspect Linking, Shubham Chatterjee, Laura Dietz
Predicting Guiding Entities For Entity Aspect Linking, Shubham Chatterjee, Laura Dietz
Computer Science Faculty Research & Creative Works
Entity linking can disambiguate mentions of an entity in text. However, there are many different aspects of an entity that could be discussed but are not differentiable by entity links, for example, the entity "oyster" in the context of "food" or "ecosystems". Entity aspect linking provides such fine-grained explicit semantics for entity links by identifying the most relevant aspect of an entity in the given context. We propose a novel entity aspect linking approach that outperforms several neural and non-neural baselines on a large-scale entity aspect linking test collection. Our approach uses a supervised neural entity ranking system to predict …
Origin Of The Second-Order Proton Catalysis Of Ferriin Reduction In Belousov-Zhabotinsky Reactions: Density Functional Studies Of Ferroin And Ferriin Aggregates With Outer Sphere Ligands Sulfate, Bisulfate, And Sulfuric Acid, Sara C. Mccauley, Rainer Glaser
Origin Of The Second-Order Proton Catalysis Of Ferriin Reduction In Belousov-Zhabotinsky Reactions: Density Functional Studies Of Ferroin And Ferriin Aggregates With Outer Sphere Ligands Sulfate, Bisulfate, And Sulfuric Acid, Sara C. Mccauley, Rainer Glaser
Chemistry Faculty Research & Creative Works
The detailed mechanisms of Belousov-Zhabotinsky oscillating reactions continue to present grand challenges, even after half a century of study. The origin of the pH dependence of the oscillation pattern had never been rigorously identified. In our recent kinetic study of one of the key Belousov-Zhabotinsky reactions, the iron-catalyzed bromate oxidation of malonic acid, compelling agreement between experiments and kinetic simulations was achieved only with the inclusion of second-order proton catalysis of the reduction of the [Fe(phen)3]3+ species. After exhausting all other avenues in search of an explanation of this proton catalysis, we considered the possibility that the …
Coherent Enhancement Of Optical Remission In Diffusive Media, Nicholas Bender, Arthur Goetschy, Chia Wei Hsu, Hasan Yılmaz, Pablo Jara Palacios, Alexey Yamilov, Hui Cao
Coherent Enhancement Of Optical Remission In Diffusive Media, Nicholas Bender, Arthur Goetschy, Chia Wei Hsu, Hasan Yılmaz, Pablo Jara Palacios, Alexey Yamilov, Hui Cao
Physics Faculty Research & Creative Works
Remitted waves are used for sensing and imaging in diverse diffusive media from the Earth's crust to the human brain. Separating the source and detector increases the penetration depth of light, but the signal strength decreases rapidly, leading to a poor signal-to-noise ratio. Here, we show, experimentally and numerically, that wavefront shaping a laser beam incident on a diffusive sample enables an enhancement of remission by an order of magnitude at depths of up to 10 transport mean free paths. We develop a theoretical model which predicts the maximal remission enhancement. Our analysis reveals a significant improvement in the sensitivity …
Triple-Differential Cross Sections In Three-Dimensional Kinematics For Electron-Impact-Ionization Dynamics Of Tetrahydrofuran At 250-Ev Projectile Energy, Xiaorui Xue, Deepthy Maria Mootheril, Esam Ali, Maomao Gong, Shaokui Jia, Jiaqi Zhou, Enliang Wang, Jian Xing Li, Xiangjun Chen, Don H. Madison, Alexander Dorn, Xueguang Ren
Triple-Differential Cross Sections In Three-Dimensional Kinematics For Electron-Impact-Ionization Dynamics Of Tetrahydrofuran At 250-Ev Projectile Energy, Xiaorui Xue, Deepthy Maria Mootheril, Esam Ali, Maomao Gong, Shaokui Jia, Jiaqi Zhou, Enliang Wang, Jian Xing Li, Xiangjun Chen, Don H. Madison, Alexander Dorn, Xueguang Ren
Physics Faculty Research & Creative Works
We report a combined experimental and theoretical study of the ionization dynamics of tetrahydrofuran induced by 250 eV electron impact in which the highest occupied molecular orbital is ionized leading to the stable parent ion. Experimentally a reaction microscope was used, covering nearly the entire 4π solid angle for the ejected slow electron. We present the triple-differential cross sections for the projectile scattering angles of θ1 = -10∘ as a function of the emission angle of the ejected electrons with energies of E2=10, 15, and 20 eV, i.e., for asymmetric energy sharing between the scattered and ejected electrons. The measured …
Dynamical Excitation Processes And Correlations Of Three-Body Two-Dimensional Mixtures, G. Bougas, Simeon I. Mistakidis, P. Giannakeas, P. Schmelcher
Dynamical Excitation Processes And Correlations Of Three-Body Two-Dimensional Mixtures, G. Bougas, Simeon I. Mistakidis, P. Giannakeas, P. Schmelcher
Physics Faculty Research & Creative Works
A Scheme Is Proposed To Dynamically Excite Distinct Eigenstate Superpositions In Three-Body Bose-Fermi Mixtures Confined In A Two-Dimensional Harmonic Trap. The System Is Initialized In A Noninteracting State With A Variable Spatial Extent, And The Scattering Lengths Are Subsequently Quenched Spanning The Regime From Weak To Strong Interactions. For Spatial Widths Smaller Than The Three-Body Harmonic Oscillator Length, A Superposition Of Trimers And Atom-Dimers Is Dynamically Attained, Otherwise Trap States Are Predominantly Populated, As Inferred From The Frequency Spectrum Of The Fidelity. Accordingly, The Tan Contacts Evince The Buildup Of Short-Range Two- And Three-Body Correlations In The Course Of The …
An Energy Efficient Smart Metering System Using Edge Computing In Lora Network, Preti Kumari, Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta, Sajal K. Das
An Energy Efficient Smart Metering System Using Edge Computing In Lora Network, Preti Kumari, Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta, Sajal K. Das
Computer Science Faculty Research & Creative Works
An important research issue in smart metering is to correctly transfer the smart meter readings from consumers to the operator within the given time period by consuming minimum energy. In this paper, we propose an energy efficient smart metering system using Edge computing in Long Range (LoRa). We assume that all appliances in a house are connected to a smart meter that is affixed with Edge device and LoRa node for processing and transferring the processed smart meter readings, respectively. The energy consumption of the appliances can be represented as an energy multivariate time series. The system first proposes a …
Efficient Data Collection In Iot Networks Using Trajectory Encoded With Geometric Shapes, Xiaofei Cao, Sanjay Kumar Madria
Efficient Data Collection In Iot Networks Using Trajectory Encoded With Geometric Shapes, Xiaofei Cao, Sanjay Kumar Madria
Computer Science Faculty Research & Creative Works
The mobile edge computing (MEC) paradigm changes the role of edge devices from data producers and requesters to data consumers and processors. MEC mitigates the bandwidth limitation between the edge server and the remote cloud by directly processing the large amount of data locally generated by the network of the internet of things (IoT) at the edge. An efficient data-gathering scheme is crucial for providing quality of service (QoS) within MEC. To reduce redundant data transmission, this paper proposes a data collection scheme that only gathers the necessary data from IoT devices (like wireless sensors) along a trajectory. Instead of …
Aircraft Engine Particulate Matter Emissions From Sustainable Aviation Fuels: Results From Ground-Based Measurements During The Nasa/Dlr Campaign Eclif2/Nd-Max, Tobias Schripp, Bruce E. Anderson, Uwe Bauder, Bastian Rauch, Joel C. Corbin, Greg J. Smallwood, Prem Lobo, Ewan C. Crosbie, Michael A. Shook, Richard C. Miake-Lye, Zhenhong Yu, Andrew Freedman, Philip D. Whitefield, Claire E. Robinson
Aircraft Engine Particulate Matter Emissions From Sustainable Aviation Fuels: Results From Ground-Based Measurements During The Nasa/Dlr Campaign Eclif2/Nd-Max, Tobias Schripp, Bruce E. Anderson, Uwe Bauder, Bastian Rauch, Joel C. Corbin, Greg J. Smallwood, Prem Lobo, Ewan C. Crosbie, Michael A. Shook, Richard C. Miake-Lye, Zhenhong Yu, Andrew Freedman, Philip D. Whitefield, Claire E. Robinson
Chemistry Faculty Research & Creative Works
The use of alternative jet fuels by commercial aviation has increased substantially in recent years. Beside the reduction of carbon dioxide emission, the use of sustainable aviation fuels (SAF) may have a positive impact on the reduction of particulate emissions. This study summarizes the results from a ground-based measurement activity conducted in January 2018 as part of the ECLIF2/ND-MAX campaign in Ramstein, Germany. Two fossil reference kerosenes and three different blends with the renewable fuel component HEFA-SPK (Hydroprocessed Esters and Fatty Acids Synthetic Paraffinic Kerosene) were burned in an A320 with V2527-A5 engines to investigate the effect of fuel naphthalene/aromatic …
Control Of Dy 164 Bose-Einstein Condensate Phases And Dynamics With Dipolar Anisotropy, S. Halder, K. Mukherjee, Simeon I. Mistakidis, S. Das, P. G. Kevrekidis, P. K. Panigrahi, S. Majumder, H. R. Sadeghpour
Control Of Dy 164 Bose-Einstein Condensate Phases And Dynamics With Dipolar Anisotropy, S. Halder, K. Mukherjee, Simeon I. Mistakidis, S. Das, P. G. Kevrekidis, P. K. Panigrahi, S. Majumder, H. R. Sadeghpour
Physics Faculty Research & Creative Works
We Investigate The Quench Dynamics Of Quasi-One- And Two-Dimensional Dipolar Bose-Einstein Condensates Of Dy164 Atoms Under The Influence Of A Fast Rotating Magnetic Field. The Magnetic Field Thus Controls Both The Magnitude And Sign Of The Dipolar Potential. We Account For Quantum Fluctuations, Critical To Formation Of Exotic Quantum Droplet And Supersolid Phases In The Extended Gross-Pitaevskii Formalism, Which Includes The So-Called Lee-Huang-Yang Correction. An Analytical Variational Ansatz Allows Us To Obtain The Phase Diagrams Of The Superfluid And Droplet Phases. The Crossover From The Superfluid To The Supersolid Phase And To Single And Droplet Arrays Is Probed With Particle …
Contact Process With Simultaneous Spatial And Temporal Disorder, Xuecheng Ye, Thomas Vojta
Contact Process With Simultaneous Spatial And Temporal Disorder, Xuecheng Ye, Thomas Vojta
Physics Faculty Research & Creative Works
We study the absorbing-state phase transition in the one-dimensional contact process under the combined influence of spatial and temporal random disorders. We focus on situations in which the spatial and temporal disorders decouple. Couched in the language of epidemic spreading, this means that some spatial regions are, at all times, more favorable than others for infections, and some time periods are more favorable than others independent of spatial location. We employ a generalized Harris criterion to discuss the stability of the directed percolation universality class against such disorder. We then perform large-scale Monte Carlo simulations to analyze the critical behavior …
Sum Rules For Energy Deposition Eigenchannels In Scattering Systems, Alexey Yamilov, Nicholas Bender, Hui Cao
Sum Rules For Energy Deposition Eigenchannels In Scattering Systems, Alexey Yamilov, Nicholas Bender, Hui Cao
Physics Faculty Research & Creative Works
In a random-scattering system, the deposition matrix maps the incident wavefront onto the internal field distribution across a target volume. The corresponding eigenchannels have been used to enhance the wave energy delivered to the target. Here, we find the sum rules for the eigenvalues and eigenchannels of the deposition matrix in any system geometry: including two- and three-dimensional scattering systems, as well as narrow waveguides and wide slabs. We derive a number of constraints on the eigenchannel intensity distributions inside the system as well as the corresponding eigenvalues. Our results are general and applicable to random systems of arbitrary scattering …
Data Augmentation For Improving Emotion Recognition In Software Engineering Communication, Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski
Data Augmentation For Improving Emotion Recognition In Software Engineering Communication, Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski
Computer Science Faculty Research & Creative Works
Emotions (e.g., Joy, Anger) are prevalent in daily software engineering (SE) activities, and are known to be significant indicators of work productivity (e.g., bug fixing efficiency). Recent studies have shown that directly applying general purpose emotion classification tools to SE corpora is not effective. Even within the SE domain, tool performance degrades significantly when trained on one communication channel and evaluated on another (e.g., Stack Overflow vs. GitHub comments). Retraining a tool with channel-specific data takes significant effort since manually annotating a large dataset of ground truth data is expensive. In this paper, we address this data scarcity problem by …
Understanding The Effect Of Sodium Polyphosphate On Improving The Chemical Stability Of Ti3c2tz Mxene In Water, Shuohan Huang, Varun Natu, Jingyi Tao, Yumin Xia, Vadym Mochalin, Michel W. Barsoum
Understanding The Effect Of Sodium Polyphosphate On Improving The Chemical Stability Of Ti3c2tz Mxene In Water, Shuohan Huang, Varun Natu, Jingyi Tao, Yumin Xia, Vadym Mochalin, Michel W. Barsoum
Chemistry Faculty Research & Creative Works
Degradation of MXenes in aqueous environments severely limits the application and industrialization of this large family of two-dimensional (2D) materials. Hydrolysis and oxidation are now considered as two main degradation mechanisms and while significant efforts have been directed to prolonging the shelf-life of MXenes, separating and studying their degradation mechanisms have lagged behind. Herein, gas analysis via gas chromatography and Raman spectroscopy were used to investigate the effect of sodium polyphosphate, PP, on the degradation of Ti3C2Tz MXene. Transmission and scanning electron microscopies, as well as X-ray photoelectron spectroscopywere also used as complimentary techniques to …
Laboratory Evaluation Of A Novel Self-Healable Polymer Gel For Co2 Leakage Remediation During Co2 Storage And Co2 Flooding, Tao Song, Zhanmiao Zhai, Junchen Liu, Yugandhara Eriyagama, Mohamed Ahdaya, Adel Alotibi, Ze Wang, Thomas P. Schuman, Baojun Bai
Laboratory Evaluation Of A Novel Self-Healable Polymer Gel For Co2 Leakage Remediation During Co2 Storage And Co2 Flooding, Tao Song, Zhanmiao Zhai, Junchen Liu, Yugandhara Eriyagama, Mohamed Ahdaya, Adel Alotibi, Ze Wang, Thomas P. Schuman, Baojun Bai
Chemistry Faculty Research & Creative Works
For CO2 storage in subsurface reservoirs, one of the most crucial requirements is the ability to remediate the leakage caused by the natural fractures or newly generated fractures due to the increasing pore pressure associated with CO2 injection. For CO2 Enhanced Oil Recovery (EOR), high conductivity features such as fractures and void space conduits can severely restrict the CO2 sweep efficiency. Polymer gels have been developed to plug the leakage and improve the sweep efficiency. This work evaluated a CO2 resistant branched self-healable preformed particle gel (CO2-BRPPG) for CO2 plugging purpose. This …
Random Strain Induced Correlations In Materials With Intertwined Nematic And Magnetic Orders, W. Joe Meese, Thomas Vojta, Rafael M. Fernandes
Random Strain Induced Correlations In Materials With Intertwined Nematic And Magnetic Orders, W. Joe Meese, Thomas Vojta, Rafael M. Fernandes
Physics Faculty Research & Creative Works
Electronic nematicity is rarely observed as an isolated instability of a correlated electron system. Instead, in iron pnictides and in certain cuprates and heavy-fermion materials, nematicity is intertwined with an underlying spin-stripe or charge-stripe state. As a result, random strain, ubiquitous in any real crystal, creates both random-field disorder for the nematic degrees of freedom and random-bond disorder for the spin or charge ones. Here, we put forward an Ashkin-Teller model with random Baxter fields to capture the dual role of random strain in nematic systems for which nematicity is a composite order arising from a stripe state. Using Monte …
A Survey On Mobile Charging Techniques In Wireless Rechargeable Sensor Networks, Amar Kaswan, Prasanta K. Jana, Sajal K. Das
A Survey On Mobile Charging Techniques In Wireless Rechargeable Sensor Networks, Amar Kaswan, Prasanta K. Jana, Sajal K. Das
Computer Science Faculty Research & Creative Works
The recent breakthrough in wireless power transfer (WPT) technology has empowered wireless rechargeable sensor networks (WRSNs) by facilitating stable and continuous energy supply to sensors through mobile chargers (MCs). A plethora of studies have been carried out over the last decade in this regard. However, no comprehensive survey exists to compile the state-of-the-art literature and provide insight into future research directions. To fill this gap, we put forward a detailed survey on mobile charging techniques (MCTs) in WRSNs. In particular, we first describe the network model, various WPT techniques with empirical models, system design issues and performance metrics concerning the …
Numerical Analysis Of A Second Order Ensemble Method For Evolutionary Magnetohydrodynamics Equations At Small Magnetic Reynolds Number, John Carter, Nan Jiang
Numerical Analysis Of A Second Order Ensemble Method For Evolutionary Magnetohydrodynamics Equations At Small Magnetic Reynolds Number, John Carter, Nan Jiang
Mathematics and Statistics Faculty Research & Creative Works
We study a second order ensemble method for fast computation of an ensemble of magnetohydrodynamics flows at small magnetic Reynolds number. Computing an ensemble of flow equations with different input parameters is a common procedure for uncertainty quantification in many engineering applications, for which the computational cost can be prohibitively expensive for nonlinear complex systems. We propose an ensemble algorithm that requires only solving one linear system with multiple right-hands instead of solving multiple different linear systems, which significantly reduces the computational cost and simulation time. Comprehensive stability and error analyses are presented proving conditional stability and second order in …
Fabrications And Applications Of Micro/Nanofluidics In Oil And Gas Recovery: A Comprehensive Review, Junchen Liu, Yandong Zhang, Mingzhen Wei, Xiaoming He, Baojun Bai
Fabrications And Applications Of Micro/Nanofluidics In Oil And Gas Recovery: A Comprehensive Review, Junchen Liu, Yandong Zhang, Mingzhen Wei, Xiaoming He, Baojun Bai
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Understanding fluid flow characteristics in porous medium, which determines the development of oil and gas oilfields, has been a significant research subject for decades. Although using core samples is still essential, micro/nanofluidics have been attracting increasing attention in oil recovery fields since it offers direct visualization and quantification of fluid flow at the pore level. This work provides the latest techniques and development history of micro/nanofluidics in oil and gas recovery by summarizing and discussing the fabrication methods, materials and corresponding applications. Compared with other reviews of micro/nanofluidics, this comprehensive review is in the perspective of solving specific issues in …