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Deformation And Earthquake Potential On The North America - Caribbean - Cocos Triple Junction In Guatemala, Jeremy Maurer, Andreas Eckert, Qiaoqi Sun, Jonathan Obrist-Farner Jul 2025

Deformation And Earthquake Potential On The North America - Caribbean - Cocos Triple Junction In Guatemala, Jeremy Maurer, Andreas Eckert, Qiaoqi Sun, Jonathan Obrist-Farner

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The triple junction between the Cocos (CO), North American (NA), and Caribbean (CA) tectonic plates in Guatemala is a region of high seismic risk and includes many large faults and historic earthquakes. Previous analyses of the tectonic system have been overly simplified, resulting in discrepancies between geologically derived and geodetic models of fault slip rate. This study leverages available geodetic, seismic, and geologic data to develop new strain rate maps and faulting models for the region. We find that locking on the regional faults matches historic reports of large earthquakes and that multiple minor fault segments are active and accommodate …


The Sodium-Glutamate Antagonist Riluzole Improves Outcome After Acute Spinal Cord Injury: Results From The Riscis Randomised Controlled Trial Analysed Using A Global Statistical Analytic Technique, Michael G. Fehlings, Karlo M. Pedro, Mohammed Ali Alvi, Ali Moghaddamjou, James S. Harrop, Ralph Stanford, Jonathon Ball, Bizhan Aarabi, Paul M. Arnold, James D. Guest, Shekar N. Kurpad, James M. Schuster, Ahmad N. Nassr, Karl M. Schmitt, Jefferson R. Wilson, Darrel S. Brodke, Faiz U. Ahmad, Albert Yee, Wilson Z. Ray, Nathaniel P. Brooks, Jason Wilson, Diana S-L Chow, Elizabeth G. Toups, Kevin E. Thorpe, Jiaxin Huang, Peng Huang Jul 2025

The Sodium-Glutamate Antagonist Riluzole Improves Outcome After Acute Spinal Cord Injury: Results From The Riscis Randomised Controlled Trial Analysed Using A Global Statistical Analytic Technique, Michael G. Fehlings, Karlo M. Pedro, Mohammed Ali Alvi, Ali Moghaddamjou, James S. Harrop, Ralph Stanford, Jonathon Ball, Bizhan Aarabi, Paul M. Arnold, James D. Guest, Shekar N. Kurpad, James M. Schuster, Ahmad N. Nassr, Karl M. Schmitt, Jefferson R. Wilson, Darrel S. Brodke, Faiz U. Ahmad, Albert Yee, Wilson Z. Ray, Nathaniel P. Brooks, Jason Wilson, Diana S-L Chow, Elizabeth G. Toups, Kevin E. Thorpe, Jiaxin Huang, Peng Huang

Department of Neurosurgery Faculty Papers

BACKGROUND: Spinal cord injury (SCI) clinical trials typically rely on a single primary endpoint to assess drug efficacy. This strategy fails to adequately capture the full impact of treatment in heterogenous neurological conditions like SCI. A more patient-centric analysis requires assessment of neurological function, functional capacity, and quality of life, incorporating meaningful patient-reported outcomes. The global statistical test (GST) addresses this challenge using a unified statistical conclusion regarding the superiority of a treatment strategy over another by evaluating multiple trial endpoints simultaneously.

METHODS: The RISCIS trial (Safety and Efficacy of Riluzole in Acute Spinal Cord Injury Study) data was analysed …


Using Facial Recognition For Selective Pose Detection, William J. Parker Jul 2025

Using Facial Recognition For Selective Pose Detection, William J. Parker

Master's Theses

Pose detection involves locating and identifying key body points for all individuals within a frame. This enables the ability to convert the pose into a digital format, which can then be recorded and analyzed for a variety of purposes. Advancements in the field have already opened applications in areas such as digital fitness coaches, fall detection, and virtual reality. Existing approaches primarily focus on tracking all detected individuals, which limits the practical applications when attempting to analyze a single or specific subject when there are other people in frame. Previous work has discussed integrating identification, but these approaches use identification …


Wildfire And Water Security: Post-Fire Erosion And Sedimentation Threaten Utah's Reservoirs, Quinn Olpin, Kendall Becker, Scott Hotaling, Aish Chandrasekaran, Patrick Belmont Jul 2025

Wildfire And Water Security: Post-Fire Erosion And Sedimentation Threaten Utah's Reservoirs, Quinn Olpin, Kendall Becker, Scott Hotaling, Aish Chandrasekaran, Patrick Belmont

All Current Publications

As an arid state with limited water, Utah relies heavily on reservoir storage to maintain its water supply throughout the year. This vital water storage, however, is increasingly at risk due to contemporary wildfires. Wildfires pose a risk to water storage because after vegetation burns, erosion typically increases. Eroded soil can be carried by rivers and deposited into reservoirs where it accumulates as sediment, reduces water storage capacity, clogs dam outlets, and degrades water quality. Identifying which watersheds are most vital to maintaining Utah’s water supply, are most threatened by wildfires, and are most prone to high levels of post-fire …


A Wachspress-Type Rational Characteristic Method For Solving First-Order Hyperbolic Equations, Mohamed Al-Lawatia Jul 2025

A Wachspress-Type Rational Characteristic Method For Solving First-Order Hyperbolic Equations, Mohamed Al-Lawatia

Sultan Qaboos University Journal For Science

This paper introduces a characteristic method for solving linear first-order hyperbolic partial differential equations in two space dimensions. The algorithm employs rational Wachspress-type basis functions applied to a hexagonal discretization of the domain, integrated within the Eulerian-Lagrangian Localized Adjoint Method (ELLAM) framework. The proposed scheme preserves the strengths of characteristic methods and delivers accurate numerical results, even with large time steps. Computational tests conducted on standard benchmark problems illustrate the effectiveness of the method.


Optimizing Thermal Performance Of Ag-Mgo/H2O Hybrid Nanofluid Flow In A Quarter-Circular Cavity Using Response Surface Methodology And Artificial Neural Network, M.S. Alam, M.N. Huda, M.M. Rahman, M. Al-Lawati Jul 2025

Optimizing Thermal Performance Of Ag-Mgo/H2O Hybrid Nanofluid Flow In A Quarter-Circular Cavity Using Response Surface Methodology And Artificial Neural Network, M.S. Alam, M.N. Huda, M.M. Rahman, M. Al-Lawati

Sultan Qaboos University Journal For Science

This research analyzes the optimization of the thermal performance of the natural convective flow of Ag-MgO/H2O hybrid nanofluid within a quarter-circular cavity utilizing response surface methodology (RSM) and artificial neural network (ANN) techniques through a non-homogeneous dynamic mathematical model. The Galerkin-weighted residual finite element method numerically solves the governing dimensionless equations and boundary conditions. The numerical results are then used to train ANN and RSM models and evaluate their performance. The results indicated that both models are dependable for this investigation, exhibiting a notably high coefficient of determination for the performance control variable, the average Nusselt number. In addition, the …


Analysis Of Stress-Jump Condition On The Onset Of Thermal Convection In A Composite System Formed By An Anisotropic Porous Layer Underlying A Fluid Layer, Neetu Srivastava, Naveen Dwivedi, Ashok K. Singh, Nirmal C. Sacheti, B. S. Bhadauria Jul 2025

Analysis Of Stress-Jump Condition On The Onset Of Thermal Convection In A Composite System Formed By An Anisotropic Porous Layer Underlying A Fluid Layer, Neetu Srivastava, Naveen Dwivedi, Ashok K. Singh, Nirmal C. Sacheti, B. S. Bhadauria

Sultan Qaboos University Journal For Science

This paper investigates the onset of thermal convection in a bounded system comprising a horizontal viscous fluid layer of infinite extent overlying an anisotropic horizontal permeable layer saturated with the same fluid. It is assumed that this system is heated from below and cooled from above in the presence of internal heat generation. It is also assumed that the material parameters, such as viscosity and thermal conductivity differ between the layers, and that the Brinkman model is used to describe the flow in the porous region. An extensive linear stability analysis has been performed with an aim to determine the …


Spreading Of Effluent Discharges From Two Adjacent Outfalls On A Sloping Seabed In Spring-Neap Tidal Waters, Anton Purnama, Ahmed Al-Kasbi, Easwaran Balakrishnan Jul 2025

Spreading Of Effluent Discharges From Two Adjacent Outfalls On A Sloping Seabed In Spring-Neap Tidal Waters, Anton Purnama, Ahmed Al-Kasbi, Easwaran Balakrishnan

Sultan Qaboos University Journal For Science

Coastal industrial plants dispose of their wastewater effluents into shallow coastal waters through sea outfalls. When two or more outfalls along a coastline are discharging, the long-term impacts are interdependent. Analytical solutions of two-dimensional advection-diffusion equations with a two-point source in a spring-neap oscillating tidal current on a sloping seabed are presented to study the far-field merging and interaction of two discharged effluent plumes in coastal waters. The elongated plumes are spreading towards the shoreline, and thus, asymptotic approximation is made to the analytical solution to assess the long-term build-up of effluent concentration at the shoreline. To show case the …


N-Fold Symmetric Quasicrystallography As The Projection Of The Affine Coxeter Group WA(BN), Nazife Ozdes Koca, Mehmet Koca, Ramazan Koc, Amira Al Maqbali Jul 2025

N-Fold Symmetric Quasicrystallography As The Projection Of The Affine Coxeter Group WA(BN), Nazife Ozdes Koca, Mehmet Koca, Ramazan Koc, Amira Al Maqbali

Sultan Qaboos University Journal For Science

Quasicrystals are obtained as the projections of higher dimensional cubic lattices. This paper aims to show that the affine dihedral subgroup Wa(I2(h)) of the affine group Wa(Bn), h = 2n being the Coxeter number, offers a different perspective to -fold symmetric quasicrystallography. The affine group Wa(I2(h)) is constructed as the subgroup of the affine group Wa(Bn), the symmetry of the cubic lattice ℤn. The infinite discrete group with local dihedral symmetry of order 2 operates on the concentric -gons obtained by projecting the Voronoi cell of the cubic lattice with 2n vertices onto the Coxeter plane. Voronoi cells tiling the …


N5 As A Subalgebra Of A Principally Ordered Naturally Ordered Regular Semigroup With A Zero Element, G.A. Pinto Jul 2025

N5 As A Subalgebra Of A Principally Ordered Naturally Ordered Regular Semigroup With A Zero Element, G.A. Pinto

Sultan Qaboos University Journal For Science

We start with a basic and technical result: If S is a principally ordered regular semigroup that has a zero element, 0, then 0* is the biggest element (in fact, idempotent) of S. We obtain necessary and sufficient conditions for a principally ordered naturally ordered regular semigroup, S, with a zero element, to have as a subalgebra an ordered and algebraic isomorphic copy of N5, the smallest naturally ordered non-orthodox regular semigroup with a biggest idempotent.


Effect Of Rotation On Plane Wave Propagation In A Magneto-Thermo Elastic Solid, G Rajkumar, K Somaiah, Srinivas Remidi Jul 2025

Effect Of Rotation On Plane Wave Propagation In A Magneto-Thermo Elastic Solid, G Rajkumar, K Somaiah, Srinivas Remidi

Sultan Qaboos University Journal For Science

The present article deals with the effect of angular rotation on the propagation of plane harmonic waves in a homogeneous, isotropic magneto-thermo elastic medium. The governing equations of a generalized magneto-thermo elastic solid are formulated and solved with the method of plane harmonic solution. Three types of waves, namely, plane longitudinal, magneto, and magneto-thermal waves, are significantly affected by the angular rotation of the solid. It is very interesting to observe that the classical result is obtained as angular rotation vanishes. For computational purposes, the available lithium niobate (LiNbO3) material was treated as the model of thermo-magneto elastic medium. The …


Finite Sets With Large Algebraic Closures In Nilpotent Groups, Omar Al Raisi, Mohammad Shahryari Jul 2025

Finite Sets With Large Algebraic Closures In Nilpotent Groups, Omar Al Raisi, Mohammad Shahryari

Sultan Qaboos University Journal For Science

Algebraic sets play a central role in algebraic geometry over groups; by definition, an algebraic set is the set of common roots of a collection of equations in some non-commuting variables x1, ..., xn having coefficients in some group G. Often, one seeks solutions of equations over G in the affine n-space Gn; such systems of polynomial equations are termed Diophantine systems. In this brief note, we consider Diophantine systems over a group G that is assumed to be nilpotent of class c and to have an element of infinite order in its center; we associate with each n × …


Preface, - Squjs Jul 2025

Preface, - Squjs

Sultan Qaboos University Journal For Science

This Mathematics Special Topic Issue contains invited and selected papers presented at the International Conference: Recent Trends in Mathematics (ICM-SQU2024) held during March 6-8, 2024 at Sultan Qaboos University (SQU), Muscat, Oman. The conference was sponsored by SQU, the Oman Mathematics Committee (OMC), and Vodafone (Oman). The conference aimed to provide a platform for researchers, and academicians to present their work, share experiences, and discuss emerging areas in Mathematics. ICM-SQU2024 was inaugurated by Her Excellency Professor Rahmah Bint Ibrahim AlMahrooqi, the Minister of Higher Education, Research and Innovation and His Highness Sayyid Dr. Fahad Bin Al-Julanda Al-Said, the Vice-Chancellor of …


Antibacterial Potential Of Tapanuli Orangutan (Pongo Tapanuliensis) Food In Batang Toru Forest Against Escherichia Coli And Salmonella Typhi, Herna Febrianty Sianipar, Wahyu Widoretno, Luchman Hakim, Rezi Rahmi Amolia, Fatchiyah Fatchiyah Jul 2025

Antibacterial Potential Of Tapanuli Orangutan (Pongo Tapanuliensis) Food In Batang Toru Forest Against Escherichia Coli And Salmonella Typhi, Herna Febrianty Sianipar, Wahyu Widoretno, Luchman Hakim, Rezi Rahmi Amolia, Fatchiyah Fatchiyah

Karbala International Journal of Modern Science

Diarrhea is a common disease affecting orangutans, primarily caused by Escherichia coli and Salmonella typhi bacteria. To treat this disease, antibacterial food sources are essential as therapeutic agents for orangutans. The fruits consumed by Tapanuli orangutans include Campnosperma auriculatum, Agathis borneensis, Artocarpus heterophyllus, Castanopsis argantea, and Aglaia tomentosa. This study aims to examine the amino acid and phytochemical components with potential antibacterial properties in these five fruit species and their inhibitory effects on E. coli and S. typhi growth through cell lysis, observed using a Scanning Electron Microscope (SEM). The samples were tested for amino acids, phytochemicals, vitamin C content, …


Edmore And Webster Coulee Hydrologic Simulation Data, Sharhad Wainty, Taufique H. Mahmood Jul 2025

Edmore And Webster Coulee Hydrologic Simulation Data, Sharhad Wainty, Taufique H. Mahmood

Datasets

The authors compiled a hydrologic model for the Edmore at Edmore and Edmore at Webster Coulee Basin using Cold Region Hydrologic Platform. The datasets include observed and simulated streamflow, observed climatic data, land use maps and hydrological representative unit maps (HRU) maps. This study detected a mechanism of hydrologic change to wetting using a cold region hydrologic model during 1991-2024 period.


Kids Exploring The World With Chatbots, Maggie Mckay, Mark Connelly Jul 2025

Kids Exploring The World With Chatbots, Maggie Mckay, Mark Connelly

Parent-ish Podcast

Are your kids chatting away with AI? In this episode, we provide parents with the tools they need to understand the implications of children's interactions with chatbots. Find out what signs to look for and how to set healthy boundaries to protect your child from potential pitfalls of digital companionship.

Click here to stream the podcast episode.


Gpu Performance In A Linux Enviroment, Nathanael W. Haines Jul 2025

Gpu Performance In A Linux Enviroment, Nathanael W. Haines

Summer Interdisciplinary Research Symposium

GPUs are used for both recreational purposes and extremely important simulations for things like earthquake prediction in addition to mathematical modeling. In all cases it is critical that the GPUs used are chosen effectively, as these tend to be very expensive components. By benchmarking a variety of GPUs running on GNU/Linux with a roster of different benchmarks, this project provides information of the capabilities of GPUs running with GNU/Linux, which is common in research settings. This is compared to the expected performance levels of each GPU as stated in selected online sources and manufacturer claims, which are typically geared towards …


Re: June 2025 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister Jul 2025

Re: June 2025 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Groundwater Monitoring Data Summary Report (Dated May 30, 2025), Emma Rott Jul 2025

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Groundwater Monitoring Data Summary Report (Dated May 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Impedance Reshaping Strategy For Grid‑Connected Inverter Based On Grid Impedance Identification Via Dual Harmonic Injection, Zhijun Li, Yaxin Wang Jul 2025

Impedance Reshaping Strategy For Grid‑Connected Inverter Based On Grid Impedance Identification Via Dual Harmonic Injection, Zhijun Li, Yaxin Wang

Journal of Electric Power Science and Technology

Under weak grid conditions, the interaction between the control function of the grid-connected inverter and the grid impedance will reduce the phase margin of the inverter, aggravate the harmonic oscillations, and even lead to instability of the grid-connected systems. Traditional impedance reshaping strategies for grid-connected inverters can improve the stable operation of the grid-connected system. However, with the growing integration of large shares of new energy sources and new types of loads, the grid impedance presents random variations, which undermines the effectiveness of traditional impedance reshaping strategies designed for fixed scenarios. To solve this problem, an impedance reshaping strategy based …


Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford Jul 2025

Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford

Theses and Dissertations

Math Information Retrieval (MIR) aims to revolutionize the retrieval of math information by addressing the challenges in representing, retrieving, and producing highly specialized math content. In order to develop a robust MIR system, designers must be able to process math equations (MEs) to a format that different systems can use, which is difficult due to various formats math information are stored in, including visual images and document texts. To improve the usage of math information in varied forms for people who are learning and utilizing math, we propose three different methods of handling ME data. The first method is a …


The Influence Of Underwriter Reputation And Firm Age On Ipo Pricing Decision: A Study On Companies Conducting Ipos On The Indonesia Stock Exchange In 2021–2024, Daniel Nathan, Prima Yusi Sari Jul 2025

The Influence Of Underwriter Reputation And Firm Age On Ipo Pricing Decision: A Study On Companies Conducting Ipos On The Indonesia Stock Exchange In 2021–2024, Daniel Nathan, Prima Yusi Sari

Journal of Accounting Auditing and Business

This study aims to analyze the effect of underwriter’s reputation and firm age on IPO pricing decision among companies that went public on the Indonesia Stock Exchange (IDX) during the period 2021 to 2024. A quantitative approach was employed using multiple linear regression to examine the relationships between variables. The study’s sample consists of 229 companies that conducted IPOs within the specified period. The independent variables include underwriter’s reputation, categorized based on transaction volume rankings, and firm age, calculated as the difference between the year of establishment and the IPO year. The dependent variable is IPO pricing decision, represented by …


Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala Jul 2025

Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala

School of Computing: Dissertations, Theses, and Student Research

Multi-agent systems (MAS) possess significant potential for modeling real-world scenarios requiring coordinated actions (like wildfire fighting or ridesharing) among autonomous entities or agents (e.g., wildfire fighting agents) in complex, dynamic environments. Effective decision-theoretic planning (where each agent must carefully consider both the immediate and the future situations or states, and coordinate with the other agents (neighbors) to evaluate what needs to be done at present) within MAS, especially multiagent planning, where the planning agent directly models its neighbors in order to estimate their optimal actions, is critical, yet challenged by factors like partial observability, openness, and diverse agent types with …


Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari Jul 2025

Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari

Montclair State University Scholarship & Creative Works

Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to significant cybersecurity risks. To address these challenges, Zero Trust Architecture (ZTA) has emerged as a promising security framework. Operating on the principle of ‘never trust, always verify,’ ZTA offers a comprehensive approach to ensuring continuous trust verification in HEV systems. Despite its potential, the application of ZTA within cyber-physical vehicular systems remains underexplored, and its practical benefits and limitations are not yet fully understood by the engineering …


Optimal Siting Of Offshore Booster Station For Wind Power Collection System Based On Dmst‑Pso Algorithm, Yan Li, Xiaokun Liu, Wenqian Zhao, Haoyuan Song, Guancheng Zhen, Yuwei Liang Jul 2025

Optimal Siting Of Offshore Booster Station For Wind Power Collection System Based On Dmst‑Pso Algorithm, Yan Li, Xiaokun Liu, Wenqian Zhao, Haoyuan Song, Guancheng Zhen, Yuwei Liang

Journal of Electric Power Science and Technology

The siting of offshore booster stations for power collection systems has an important impact on the construction and operation costs of offshore wind farms. The siting problem of offshore booster stations is essentially an optimization problem based on the topology of the submarine cable. The key to siting optimization of the offshore booster station lies in determining the optimal submarine cable routing. A DMST‑PSO algorithm, combining the dynamic minimum spanning tree (DMST) algorithm with dynamic edge weights and the particle swarm optimization (PSO) algorithm, is proposed for the siting of offshore booster stations for wind power collection systems, aiming at …


Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M Jul 2025

Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M

Theses and Dissertations

Understanding and forecasting earthquakes is not just about science it’s about saving lives, even as the dynamic and hidden nature of Earth's tectonic processes makes this an intricate challenge. The Himalayan belt is one of the most seismically active regions globally due to the collision of the Indian and Eurasian tectonic plates. Investigating this region is essential for understanding highly complicated tectonic mechanisms and reducing substantial hazards posed to millions of people by persistent and intense seismic events. This study aims to enhance forecasting methodologies by applying machine learning techniques while dealing with the inherent challenges of geological complexity and …


Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra Jul 2025

Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra

Mansoura Engineering Journal

With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …


Multiscale Modeling And Dynamic Mutational Profiling Of Binding Energetics And Immune Escape For Class I Antibodies With Sars-Cov-2 Spike Protein: Dissecting Mechanisms Of High Resistance To Viral Escape Against Emerging Variants, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker Jul 2025

Multiscale Modeling And Dynamic Mutational Profiling Of Binding Energetics And Immune Escape For Class I Antibodies With Sars-Cov-2 Spike Protein: Dissecting Mechanisms Of High Resistance To Viral Escape Against Emerging Variants, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The rapid evolution of SARS-CoV-2 has underscored the need for a detailed understanding of antibody binding mechanisms to combat immune evasion by emerging variants. In this study, we investigated the interactions between Class I neutralizing antibodies—BD55-1205, BD-604, OMI-42, P5S-1H1, and P5S-2B10—and the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein using multiscale modeling, which combined molecular simulations with the ensemble-based mutational scanning of the binding interfaces and binding free energy computations. A central theme emerging from this work is that the unique binding strength and resilience to immune escape of the BD55-1205 antibody are determined by leveraging a broad epitope …


The Covid-19 Lockdown And Diabetes Self-Management In Esan Northeast Area Of Edo State, Esther Ehivbaun Rapu Jul 2025

The Covid-19 Lockdown And Diabetes Self-Management In Esan Northeast Area Of Edo State, Esther Ehivbaun Rapu

Walden Dissertations and Doctoral Studies

The COVID-19 lockdown impacted chronic diseases care globally, but there is limited research on how individuals in rural Nigerian communities managed diabetes during this period. This qualitative phenomenological study explored the lived experiences of self-management with diabetes during the COVID-19 lockdown among adults in Esan Northeast. The socioecological model (SEM) served as the guiding conceptual framework, allowing for the exploration of the impact of individual, interpersonal, community, and institutional factors on self-care behaviors. The research explored how cultural, social and economic factors impacted how adults with diabetes in Esan Northeast managed their condition during the COVID-19 lockdown. Semi-structured interviews via …


Re: Comments On The Repository, Haul Route, And Pipeline Geotechnical Pre-Design Investigation Summary Report (Dated May 13, 2025), Emma Rott Jul 2025

Re: Comments On The Repository, Haul Route, And Pipeline Geotechnical Pre-Design Investigation Summary Report (Dated May 13, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.