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Articles 13411 - 13440 of 1108829
Full-Text Articles in Entire DC Network
Training Vs. Reality: The Challenges Of Preventing Heat-Related Illness In Migrant Farmworkers, Sonya Homami
Training Vs. Reality: The Challenges Of Preventing Heat-Related Illness In Migrant Farmworkers, Sonya Homami
Rowan-Virtua Research Day
Background: Heat‑Related Illness (HRI) is a major occupational hazard for migrant farmworkers, who are 35 times more likely to die from HRI than workers in other industries. Although HRI training aims to improve prevention knowledge, its effect on actual HRI outcomes is unclear.
Methods: Following PRISMA guidelines, a systematic review of PubMed, Embase, and Web of Science identified studies evaluating HRI training and reporting HRI prevalence or related symptoms. Fifteen studies met inclusion criteria.
Results: HRI training did not reduce HRI prevalence or provide protective effects. Training increased reporting of workplace injuries and concern about HRI. Despite high training uptake—over …
Hydration During Emergency Medicine Shifts: An Overlooked Component Of Cognitive Performance, Well-Being, And Systems Design To Fail To Plan For Shift Hydration Is To Plan To Fail With Shift Hydration, James Espinosa, Alan Lucerna, Swet Patel, Robin Lahr, Sergey Medlenov, Adam Kandil, Frank Wheeler, Wayne Tamaska, James Lee, Neel Parikh, Henry Schuitema
Hydration During Emergency Medicine Shifts: An Overlooked Component Of Cognitive Performance, Well-Being, And Systems Design To Fail To Plan For Shift Hydration Is To Plan To Fail With Shift Hydration, James Espinosa, Alan Lucerna, Swet Patel, Robin Lahr, Sergey Medlenov, Adam Kandil, Frank Wheeler, Wayne Tamaska, James Lee, Neel Parikh, Henry Schuitema
Rowan-Virtua Research Day
Emergency Medicine (EM) clinicians work prolonged, cognitively demanding shifts in environments characterized by unpredictability, interruptions, and high decision density. While fatigue, burnout, and circadian disruption have been widely studied, hydration during active clinical shifts has received little focused attention. Evidence from cognitive, military, and sports physiology literature demonstrates that even mild dehydration can impair attention, working memory, mood, and reaction time. Despite these findings, hydration in Emergency Medicine is typically treated as an individual behavior rather than a systems-level design consideration. This review synthesizes relevant physiologic and performance literature, identifies cultural and structural barriers to hydration during EM shifts, and …
Listening To The System: Reframing Emergency Department Noise: The Case For Noise As A Real-Time Operational Signal In A Complex Adaptive System (Cas), James Espinosa, Alan Lucerna, Henry Schuitema
Listening To The System: Reframing Emergency Department Noise: The Case For Noise As A Real-Time Operational Signal In A Complex Adaptive System (Cas), James Espinosa, Alan Lucerna, Henry Schuitema
Rowan-Virtua Research Day
Emergency Department (ED) noise has historically been framed as an occupational and environmental hazard requiring mitigation. And this is still true—but not complete. Early work focused on exposure reduction and spike identification. Subsequent mapping studies demonstrated spatial and temporal differentiation in ED acoustic load. We propose an expanded conceptual model: acoustic variability may function not only as a hazard, but also as a real-time signal of operational turbulence within the ED as a complex adaptive system (CAS). Drawing on human factors, alarm fatigue, resilience engineering, and complexity science, we synthesize existing literature and institutional experience to identify a critical gap—noise …
Detecting Early Operational Turbulence In The Emergency Department Using Fourier And Wavelet Analysis: A Conceptual Framework For Signal-Informed Anticipation And Prediction In The Ed Complex Adaptive System, James Espinosa, David Ho, Alan Lucerna
Detecting Early Operational Turbulence In The Emergency Department Using Fourier And Wavelet Analysis: A Conceptual Framework For Signal-Informed Anticipation And Prediction In The Ed Complex Adaptive System, James Espinosa, David Ho, Alan Lucerna
Rowan-Virtua Research Day
Background:
We theorize that Emergency Departments (EDs) function as complex adaptive systems characterized by nonlinear interactions, oscillatory demand patterns, and abrupt phase transitions from stable flow to turbulent states. Traditional dashboards rely on threshold metrics that detect instability after degradation becomes visible. Many ED data streams are significantly retrospective as well as compression-averaged into temporal systems such as days, months, quarters or even years. Signal processing methods—particularly Fourier and wavelet analysis—offer the framework for detecting latent oscillatory shifts preceding overt operational change from laminar to transitional to turbulent flow states. This could lead to better methods of adaptation.
Conceptual Framework: …
Helping Waldo (The Poster) Be Found: Teaching Search Literacy, Discoverability And Search Engine Optimization As Core Scholarly Skills In Graduate Medical Education, James Espinosa, Alan Lucerna
Helping Waldo (The Poster) Be Found: Teaching Search Literacy, Discoverability And Search Engine Optimization As Core Scholarly Skills In Graduate Medical Education, James Espinosa, Alan Lucerna
Rowan-Virtua Research Day
Background: In modern academic medicine, trainees are taught how to search the biomedical literature but rarely taught how to structure their own scholarly work so that it can be discovered. This creates a diffusion gap in which high‑quality educational innovations, case reports, and operational insights remain difficult to locate despite being presented or archived.
Objective: To propose a concise educational module that teaches residents the principles of search literacy and scholarly discoverability.
Methods: A conceptual curriculum framework was developed drawing on literature from information science, medical education, and diffusion theory. The module introduces the paired competencies of 'Finding Waldo' (literature …
The Safety Paradox Of Emergency Department Shift Length: Why The Relationship Between Hours Worked And Patient Safety Is More Complex Than It Appears, James A. Espinosa Md, Alan Lucerna
The Safety Paradox Of Emergency Department Shift Length: Why The Relationship Between Hours Worked And Patient Safety Is More Complex Than It Appears, James A. Espinosa Md, Alan Lucerna
Rowan-Virtua Research Day
Background: Emergency department shift duration has long been debated as a determinant of patient safety. While longer shifts may increase cognitive fatigue, shorter shifts may increase the frequency of patient handoffs, which themselves introduce communication risk. Objective: To conceptualize emergency department shift length as a safety paradox arising from the balance between fatigue and handoff-related communication risks. Conceptual Framework: We propose the Emergency Department Shift Length Safety Paradox model illustrating the nonlinear relationship between shift duration and patient safety. Implications: Optimal shift design may depend on balancing fatigue risk and communication risk within a complex adaptive healthcare system. Conclusion: Emergency …
A Systems-Based Approach To Supporting Resident Scholarly Productivity: Building A High-Throughput Academic Pipeline In Emergency Medicine Residency Training Through Poster Development Apprenticeship, James Espinosa, Alan Lucerna, Robin Lahr, James Lee, Swet Patel, Henry Schuitema
A Systems-Based Approach To Supporting Resident Scholarly Productivity: Building A High-Throughput Academic Pipeline In Emergency Medicine Residency Training Through Poster Development Apprenticeship, James Espinosa, Alan Lucerna, Robin Lahr, James Lee, Swet Patel, Henry Schuitema
Rowan-Virtua Research Day
Background: Many residency programs require scholarly output; however, consistent and high volume production of posters and publications can be challenging. Anecdotal evidence from a variety of programs suggests variability in outcomes across programs, often influenced by differences in mentorship, structure, and available scholarly infrastructure. Objective: To describe a reproducible, systems-based model for generating high-volume resident scholarly output through alignment of expectations, culture, infrastructure, and faculty engagement. Methods and Conceptual Model: We outline a multi-domain framework derived from sustained programmatic experience, incorporating structural requirements, leadership alignment, cultural reinforcement, workflow standardization, and active faculty participation. The model is supported by practical tools …
Pcl And Pegdma Nanoyarns Feasibility For Antimicrobial Suture Applications, Wynn Bastianelli, Dominique Hassinger, Vincent Beachley, Sean Mcmillan
Pcl And Pegdma Nanoyarns Feasibility For Antimicrobial Suture Applications, Wynn Bastianelli, Dominique Hassinger, Vincent Beachley, Sean Mcmillan
Rowan-Virtua Research Day
Abstract Title: PCL and PEGDMA Nanoyarns Feasibility for Antimicrobial Suture
Nanofibers represent an innovative class of materials with diverse applications, including tissue engineering and drug delivery.1 Among the most promising areas of research is their use in surgical sutures, particularly for complex orthopedic injuries with high re-tear rates. Polycaprolactone (PCL) nanofibers have shown promise as alternatives to standard sutures as their unique properties support superior healing compared to standard materials.2 Our lab aims to further optimize these healing capabilities by adding Poly(ethylene glycol) dimethacrylate (PEGDMA), a molecule that tethers peptides to PCL nanoyarns, developing a suture with greater …
Do International Alumni Give Differently? A Study On The Alumni Philanthropic Perspective Of Trust And Key Relational Factors Affecting Attitude Towards Giving, John Held
Dissertations
Philanthropy plays a key role in the funding of institutions of higher education. Previous research has focused on domestic populations, exploring the antecedents and elements of philanthropy in higher education. The literature has yet to examine differences in these elements between domestic and international, or distance extremes, amongst alumni populations. This study investigates the perceptions and motivating factors influencing alumni who experience significant geographic separation from their Higher Education Institution (HEI) and their philanthropic support for their alma mater. The conceptual model includes factors at the organization-to-organization, person-to-organization, and person-to-person levels and their moderating effects on the relationship between trust …
Genetic Analysis Of Triplicated Genes Affecting Sex-Specific Skeletal Deficits In Down Syndrome Model Mice, Kourtney Sloan, Kristina M. Piner, Pathum Randunu Nawarathna Kandedura Arachchige, Charles R. Goodlett, Yann Herault, Gayla R. Olbricht, Joseph M. Wallace, Randall J. Roper
Genetic Analysis Of Triplicated Genes Affecting Sex-Specific Skeletal Deficits In Down Syndrome Model Mice, Kourtney Sloan, Kristina M. Piner, Pathum Randunu Nawarathna Kandedura Arachchige, Charles R. Goodlett, Yann Herault, Gayla R. Olbricht, Joseph M. Wallace, Randall J. Roper
Mathematics and Statistics Faculty Research & Creative Works
Down syndrome (DS) is caused by the triplication of human chromosome 21 (Hsa21), resulting in skeletal insufficiency (low bone mineral density) and altered bone development. DS mouse models recapitulate these deficits, including sexual dimorphism in long bone alterations. Historically, Ts65Dn mice provided much of the insight behind DS-related skeletal deficits with ∼100 trisomic orthologous genes, but there are concerns about the genetic fidelity in this model due to the included triplication of genes not homologous to Hsa21. A new DS model, Ts66Yah, subtracted the non-Hsa21 homologous trisomic genes from Ts65Dn but has not been evaluated for long bone deficits. Comparing …
Defining Success In Collegiate Recovery Programs: A Systematic Review, Brooke Trogdon, John B. Moore
Defining Success In Collegiate Recovery Programs: A Systematic Review, Brooke Trogdon, John B. Moore
The Corinthian
Background: The transition to higher education is a critical period for emerging adults. Often marked by increased substance use experimentation due to a variety of internal and external factors. This group faces a heightened risk of developing substance-related health issues, necessitating targeted intervention and prevention efforts. Purpose: To systematically review and define key indicators of success for collegiate recovery programs (CRPs) that support students in recovery from substance use disorders (SUDs). Methods: Following PRISMA guidelines, a comprehensive search was conducted using GALILEO and Google Scholar databases. Articles were appraised using the JBI critical appraisal tools. Results: CRPs provide a supportive …
Lunar Manufacturing Systems And The Role Of Additive Recycling Technologies, Camille A. Newman
Lunar Manufacturing Systems And The Role Of Additive Recycling Technologies, Camille A. Newman
Honors Theses
Renewed international interest in sustained lunar exploration has created a growing demand for technologies to support long-duration space exploration. Part of the recent Artemis missions and the Moon to Mars initiative is to improve key mission capabilities and fill critical gaps necessary to sustain lunar habitation. Waste management, recycling systems, and manufacturing systems have been identified as critical technologies that need further development before a sustained mission is possible. This thesis explores the feasibility of an additive manufacturing and recycling system designed to process plastic waste generated during extended lunar habitation. Initial research focused on existing manufacturing and recycling technologies …
Scifres Nanofabrication Laboratory (Cleanroom), Ron Reger, Purdue University Office Of Research
Scifres Nanofabrication Laboratory (Cleanroom), Ron Reger, Purdue University Office Of Research
University Research Core Facility Boilerplate Descriptions
No abstract provided.
A Remote Sensing Approach To Identifying Zones Of Instability In Mine Tailings Impoundments Using Multi-Sensor Satellite Data, Arden K. Pierce
A Remote Sensing Approach To Identifying Zones Of Instability In Mine Tailings Impoundments Using Multi-Sensor Satellite Data, Arden K. Pierce
Honors Theses
Mine tailings impoundments are structures built to contain the chemical and sedimentary byproducts generated by ore extraction activities. In this common method of mining waste storage, the tailings can be pumped into containment ponds and held behind earthen embankments to prevent the release of hazardous substances into the surrounding environment. Monitoring environmental factors that influence the structural integrity of these impoundments is essential for identifying areas vulnerable to instability and failure. Soil moisture is a factor that can affect the stability of mine tailings impoundment structures. This study evaluates the relationship between satellite-derived soil moisture and surface deformation at mine …
Lunar Manufacturing Systems And The Role Of Additive Recycling Technologies, Camille A. Newman
Lunar Manufacturing Systems And The Role Of Additive Recycling Technologies, Camille A. Newman
Honors Theses
Renewed international interest in sustained lunar exploration has created a growing demand for technologies to support long-duration space exploration. Part of the recent Artemis missions and the Moon to Mars initiative is to improve key mission capabilities and fill critical gaps necessary to sustain lunar habitation. Waste management, recycling systems, and manufacturing systems have been identified as critical technologies that need further development before a sustained mission is possible. This thesis explores the feasibility of an additive manufacturing and recycling system designed to process plastic waste generated during extended lunar habitation. Initial research focused on existing manufacturing and recycling technologies …
Not An Afterthought: Addressing The Academic And Social Challenges That Create Barriers To Belonging For Transfer Students, Brooke Jankowsky
Not An Afterthought: Addressing The Academic And Social Challenges That Create Barriers To Belonging For Transfer Students, Brooke Jankowsky
Honors Theses
This thesis examines the academic and social barriers to belonging for transfer students at four-year institutions, with particular attention to the University of Mississippi. The goal is to bring attention to the issues that surround transfer student populations in general by identifying some of the most pressing structural and interpersonal challenges that shape their experiences. A qualitative approach was used, drawing on existing literature, prior unpublished research at the community college level, and reflective analysis to explore themes such as transfer shock, creating and maintaining social networks, and gaps in institutional support. Findings suggest that transfer students often face a …
How Ux Design Shapes Brand Perception In Digital Environments Among Gen Z, Adriane R. Arinder
How Ux Design Shapes Brand Perception In Digital Environments Among Gen Z, Adriane R. Arinder
Honors Theses
This study examines how user experience (UX) design shapes brand perception among young adult consumers, with a focus on digitally active individuals between the ages of 18 and 25. Drawing on a review of academic and industry literature, qualitative data from a focus group of seven University of Mississippi students, and quantitative data from a survey of 153 participants, this research argues that intuitive, accessible digital experiences function as a form of brand communication that significantly influences how users evaluate the companies behind them. The study conceptualizes UX through four primary dimensions: usability, navigation clarity, interaction efficiency, and accessibility. Findings …
Integrated Solar And Regenerative Braking System For Off-Grid Charging Of An Electric Motorcycle, Christian Soolany, Dhimas Oki Permata Aji, Sigit Suwarto, Setya Permana Sutisna, Furqon Furqon
Integrated Solar And Regenerative Braking System For Off-Grid Charging Of An Electric Motorcycle, Christian Soolany, Dhimas Oki Permata Aji, Sigit Suwarto, Setya Permana Sutisna, Furqon Furqon
Journal of Mechanical Engineering Science and Technology (JMEST)
This study introduces an off-grid charging system developed for a modified 110 cc electric motorcycle. The system incorporates a portable photovoltaic (PV) array and a regenerative braking feature, aimed at improving the motorcycle's energy efficiency. The setup includes a 72 V, 20 Ah lithium-ion battery, a 240 Wp portable PV array, and a 2 kW Brushless DC (BLDC) motor with regenerative braking to enhance the energy available on board. From the experiments, the vehicle demonstrated an average energy consumption of 44.9 Wh/km and achieved a range of about 32 km per charge. The PV system generated between 200 and 270 …
Institutionalization Of Diversity, Equity, Inclusion, And Accessibility In California Community Colleges, Kristin Lui-Martinez
Institutionalization Of Diversity, Equity, Inclusion, And Accessibility In California Community Colleges, Kristin Lui-Martinez
LMU Theses and Dissertations
The California Community Colleges Chancellor’s Office accomplished system change using regulatory power to institutionalize diversity, equity, inclusion, and accessibility (DEIA) into Education Code. This qualitative research study investigated the origins and intention of the regulations that added DEIA competency criteria into employee evaluations and faculty tenure review through document analysis. The study also used interviews to examine the faculty perceptions of the regulations and understand how faculty supported or resisted the regulations. Applying critical policy analysis and Felix’s (2021) multicontextual implementation framework, this study examined three main questions: (a) how did the California Community College Chancellor’s Office collaborate and engage …
Narratives Of Cultural Wealth: Understanding What Works For Underrepresented Minority Students In Stem, Grace Long
Narratives Of Cultural Wealth: Understanding What Works For Underrepresented Minority Students In Stem, Grace Long
LMU Theses and Dissertations
This qualitative study examined the lived experiences of underrepresented minority alumni from Galileo STEM High School who are pursuing STEM degrees at four-year universities. Guided by Yosso’s (2005) Community Cultural Wealth (CCW) framework, the study focused on what worked for underrepresented minority groups (UMG) in STEM. In-depth semi-structured interviews were conducted to learn a) what factors contributed to their STEM development and identities, b) what forms of cultural wealth were leveraged in high school and in the first years of college to pursue and persist in STEM studies, and c) experiences from Galileo STEM High School that cultivated and affirmed …
Voltage-Sensor–Targeting Modulators Of Iks: Identifying Critical Functional Groups Of C28 Via Electrophysiology And Sar Modeling, Jiacheng Huang
Voltage-Sensor–Targeting Modulators Of Iks: Identifying Critical Functional Groups Of C28 Via Electrophysiology And Sar Modeling, Jiacheng Huang
McKelvey School of Engineering Graduate Student Theses & Dissertations
IKs (KCNQ1/KCNE1) channels are essential for cardiac repolarization, and their dysfunction contributes to arrhythmogenic disorders such as Long QT Syndrome type 1 (LQT1). Pharmacological activation of IKs has therefore emerged as a promising therapeutic strategy. C28, a recently identified voltage-sensor–targeting activator, has been shown to markedly shift KCNQ1/KCNE1 voltage dependence and enhance current amplitude, validating the voltage-sensing domain (VSD) as a druggable site. However, the structural determinants that underlie C28’s activity remain incompletely understood. In this study, we aimed to identify critical functional groups of C28 by screening a structurally diverse set of C28-like analogs and evaluating their …
Toward Vehicle-Agnostic Driving Signatures For Cognitive Impairment Prediction From Naturalistic Driving Data, Aadarsha Gopala Reddy
Toward Vehicle-Agnostic Driving Signatures For Cognitive Impairment Prediction From Naturalistic Driving Data, Aadarsha Gopala Reddy
McKelvey School of Engineering Graduate Student Theses & Dissertations
This thesis studies whether naturalistic driving data can help predict binary Clinical Dementia Rating (CDR) status while accounting for differences across vehicles. The final analytic dataset comprised 26,968 participant-weeks from 304 participants. Weekly driving features were derived from real-world telematics data and combined with four demographic covariates. Primary model comparisons used leave-one-participant-out (LOGO) cross-validation, with one individual held out at a time and pooled participant-level metrics used as the main reporting surface.
The main comparison includes six model families evaluated on the same dataset under a shared LOGO framework. Performance remained modest overall. GRU-DANN had the highest participant-level ROC AUC …
Interaction-Aware Safe Planning For Human-Robot And Multi-Robot Systems, Haoyi Wang
Interaction-Aware Safe Planning For Human-Robot And Multi-Robot Systems, Haoyi Wang
McKelvey School of Engineering Graduate Student Theses & Dissertations
Robots operating in shared environments must interact safely not only with static obstacles but also with other decision-making agents, including humans and other robots. In such settings, both safety and task completion depend on the ability to reason about interaction. Two major challenges arise. In human-robot interaction, future human behavior depends on latent internal factors, such as attentiveness and behavioral style, that are not directly observable to the robot. In multi-robot systems, decentralized reactive navigation can fail in cluttered environments when reciprocal interactions create deadlocks that prevent progress through narrow passages or bottlenecks. This thesis investigates these two challenges from …
Temperature And Environmental Implications On Ti3c2cl2 Mxene Degradation Process, Yang Yang
Temperature And Environmental Implications On Ti3c2cl2 Mxene Degradation Process, Yang Yang
McKelvey School of Engineering Graduate Student Theses & Dissertations
MXenes, a rapidly emerging class of two-dimensional transition metal carbides and nitrides, have attracted considerable attention owing to their exceptional electrical, mechanical, and chemical properties. However, the inherent thinness of their atomic structure and the reactivity of their functional groups render MXenes susceptible to environmental degradation, whereby the lattice integrity is compromised and desirable material functionalities are dimin- ished. In this work, ex situ electron microscopy characterisation is performed on Ti3C2Cl2 MXene specimens subjected to controlled gas environments — nitrogen gas (N2) and air — at annealing temperatures of 200°C and 600°C, with …
Statistical Cryogenic Characterization Of Commercial 14nm Finfets For Analog Applications, Wesley Xi, Le Minh Long Nguyen, Vikram Magendar, Hiu Yung Wong
Statistical Cryogenic Characterization Of Commercial 14nm Finfets For Analog Applications, Wesley Xi, Le Minh Long Nguyen, Vikram Magendar, Hiu Yung Wong
Faculty Research, Scholarly, and Creative Activity
Cryogenic devices at 4.2K are indispensable in the control electronics for large-scale quantum computers. Due to its small manufacturing volume, a standard commercial foundry process is likely to be used in the near and medium terms. Moreover, 77K electronics are promising for high-speed server applications. Besides digital circuits, analog circuits with non-minimal channel length are particularly important in quantum computing control. In this paper, special structures are designed to characterize the device properties of medium- and long-channel length devices at 292K, 77K, and 4.2K in a commercial 14nm FinFET process. About 100 structures were measured for both NMOS and PMOS. …
Automated Segmentation And Structural Remodeling Analysis Of Ipsc-Derived Cardiomyocyte, Bahareh Bahmani
Automated Segmentation And Structural Remodeling Analysis Of Ipsc-Derived Cardiomyocyte, Bahareh Bahmani
McKelvey School of Engineering Graduate Student Theses & Dissertations
Cardiomyopathy is a disease of the heart muscle that can change cell structure, protein organization, and overall heart function. Some forms of cardiomyopathy are genetically inherited, including Hypertrophic Cardiomyopathy (HCM), the most common inherited cardiomyopathy affecting nearly 1 in 200 individuals1,2, and Desmin-Related Cardiomyopathy (DRM), a rarer disease that affects approximately 1 in 2000 individuals3. Changes in cardiomyocytes’ cellular structure define cardiomyopathies, and these changes are typically studied with fluorescence microscopy. However, manual image analysis is slow, labor-intensive, and often gives inconsistent results, especially when images are analyzed by non-experts. This thesis presents an automated computational framework for analyzing cardiomyocyte …
Improving Semantic Precision In Text-To-Image Diffusion Models Via Latent-Space Optimization And Semantically-Parsed Evaluation, Mohammad Rouie Miab
Improving Semantic Precision In Text-To-Image Diffusion Models Via Latent-Space Optimization And Semantically-Parsed Evaluation, Mohammad Rouie Miab
McKelvey School of Engineering Graduate Student Theses & Dissertations
Text-to-image diffusion models can produce visually impressive images from natural-language prompts, but they often fail to satisfy the detailed semantic constraints expressed in compositional prompts. Typical failure modes include omitted objects, merged entities, incorrect quantities, incorrect attribute binding, and leakage of one entity's attributes onto another. This thesis studies the problem of semantic precision in text-to-image generation: how faithfully a generated image satisfies the structured meaning of its prompt. The thesis makes two linked contributions. First, it presents a training-free inference-time refinement method for diffusion-based image generation. The method operates directly in latent space during denoising and uses noun-phrase-aware cross-attention …
Largest 2-Regular Subgraphs In Complete S-Partite Graphs, Yiyang Jiang
Largest 2-Regular Subgraphs In Complete S-Partite Graphs, Yiyang Jiang
McKelvey School of Engineering Graduate Student Theses & Dissertations
In this thesis, we focus on the class of complete $S$-partite graphs, for $S$ an undirected graph possibly with self-loops, and address the problem of finding largest $2$-regular subgraphs of these graphs, which can be formulated as an integer linear program. Roughly speaking, a complete $S$-partite graph is obtained by replacing every single node of $S$ with a number of nodes, preserving the edge/non-edge relations of $S$. Our motivation in studying largest $2$-regular subgraphs is rooted in the structural systems theory, particularly in the problem of finding largest subnetworks that can sustain controllability or asymptotic stability of the corresponding subsystems. …
Empowering Junior High School Students’ Collaboration Skills Through Science Learning Using The Secret Mission Game, Rahma Fika Kurnia, Imraatul Mufidah, Dyne Rizki Puspitasari
Empowering Junior High School Students’ Collaboration Skills Through Science Learning Using The Secret Mission Game, Rahma Fika Kurnia, Imraatul Mufidah, Dyne Rizki Puspitasari
Journal of Innovation and Teacher Professionalism
This study aimed to empower the collaboration skills of Class VII B students at SMP Laboratorium UM through the implementation of the Game-Based Learning model using the Secret Mission game in science learning on the topic of Physical and Chemical Changes. The study was motivated by the low level of students’ collaboration skills, as indicated by previous classroom assignments that were mostly completed individually rather than collaboratively in groups. The study employed the Lesson Study approach, which consisted of three stages: Plan, Do, and See. During the planning stage, the Lesson Study team collaboratively designed learning modules, game scenarios, instructional …
Predicting And Decoding Allosteric Binding Sites Using Protein Language Models And Structure-Based Machine Learning: An Energy Landscape-Guided Explainable Ai Framework, Kamila Riedlová, Vít Skrhák, William G. Gatlin, Max Ludwick, Lucas Turano, Marian Novotný, David Hoksza, Gennady M. Verkhivker
Predicting And Decoding Allosteric Binding Sites Using Protein Language Models And Structure-Based Machine Learning: An Energy Landscape-Guided Explainable Ai Framework, Kamila Riedlová, Vít Skrhák, William G. Gatlin, Max Ludwick, Lucas Turano, Marian Novotný, David Hoksza, Gennady M. Verkhivker
Mathematics, Physics, and Computer Science Faculty Articles and Research
Computational prediction of allosteric binding sites in protein structures remains a persistent challenge, as these regulatory pockets evade detection by both sequence-based and structure-based algorithms. Both computational and physical origins of this predictive asymmetry remain insufficiently understood. In this study, we systematically examine the determinants of binding site predictability using a dual framework that integrates a fine-tuned protein language model and the structure-based method P2Rank as complementary tools probing a diverse data set of 453 human kinases, together with a physics-based interpretability layer derived from energy landscape frustration analysis. Both predictors exhibit a sharp and reproducible dichotomy on protein kinases, …