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Articles 1081 - 1110 of 78534
Full-Text Articles in Entire DC Network
Digital Literacy And Language Proficiency As Factors Of Accessible Digital Training In The Hospitality Industry: Employee Perspectives Of Training And Working In A Diverse Industry, Gillian Bowden
UNLV Theses, Dissertations, Professional Papers, and Capstones
This explanatory sequential mixed methods study explored how digital literacy and language proficiency impact employees’ access to and engagement with digital training, as well as how these experiences influence their perceptions of training and the organization. In the quantitative phase, survey data were collected from hourly employees at a large foodservice corporation (n=67). Four constructs were assessed: digital literacy, language proficiency, accessibility, and engagement. Results indicated strong, statistically significant relationships with higher levels of digital literacy and language proficiency associated with greater accessibility and increased engagement with digital training materials. The large effect sizes suggest these competencies play a meaningful …
Iterative Silver-Label Refinement For Temporal Information Extraction In Biomedical Literature, Chan Lee
Iterative Silver-Label Refinement For Temporal Information Extraction In Biomedical Literature, Chan Lee
UNLV Theses, Dissertations, Professional Papers, and Capstones
Temporal information extraction plays a critical role in the biomedical domain, where the ability to identify events and their temporal relationships is central to interpreting research findings. However, annotated corpora for this task remain scarce and costly to produce and the existing models developed for clinical text do not transfer well. This work bridges that gap through iterative silver-label refinement. A temporal model originally trained on news-domain data is adapted to biomedical text through cycles of automatic labeling, targeted correction, and retraining without the need for comprehensive manual annotation.
Key contributions include a practical iterative refinement methodology demonstrating that the …
From Flight To Hatching: Adult Sexual Dimorphism, Life History, And Egg-Stage Ecology Of Pseudocotalpa Giulianii, Mandylene Mountain
From Flight To Hatching: Adult Sexual Dimorphism, Life History, And Egg-Stage Ecology Of Pseudocotalpa Giulianii, Mandylene Mountain
UNLV Theses, Dissertations, Professional Papers, and Capstones
The Nevada endemic dune beetle Pseudocotalpa giulianii is currently known only from two dune systems in Amargosa Valley, Nevada, yet much of its life cycle occurs below the sand surface and remains poorly documented. This thesis addresses key gaps in adult-stage biology and egg-stage development that are relevant to understanding reproduction, vulnerability, and habitat requirements in this dunerestricted species.
To characterize adult sexual dimorphism and life history, I quantified morphological differences between males and females and measured sex-specific adult survival under laboratory conditions relative to the aboveground flight season. Males and females overlapped broadly in external body size, but tarsal …
At The Crossroads Of Traditional And Nuclear Forensics: Decontaminating Radiologically Contaminated Dna Evidence Using Magnetic Beads, Rin Nyx Ruby
UNLV Theses, Dissertations, Professional Papers, and Capstones
Known for its impressive discriminatory power, deoxyribonucleic acid (DNA) fingerprinting stands as the “gold standard” of forensic investigation. However, complications arise when such evidence is contaminated with radioactive material. Though biological samples exposed to ionizing radiation can still yield comprehensive DNA profiles, most forensic laboratories lack the facilities which meet the safety and security requirements necessary for handling radioactive material. While nuclear facilities can decontaminate samples prior to forensic analysis, conventional methods for radiological decontamination – such as mechanical cleaning and chemical washes – may degrade the quality of the forensic evidence. The purpose of this study is to evaluate …
Multiscale Modeling Of Chemoattractant-Guided Collective Cell Migration In The Drosophila Egg Chamber, Lara Scott, Bradford E. Peercy, Meghan Kwon, Michelle Starz-Gaiano
Multiscale Modeling Of Chemoattractant-Guided Collective Cell Migration In The Drosophila Egg Chamber, Lara Scott, Bradford E. Peercy, Meghan Kwon, Michelle Starz-Gaiano
Biology and Medicine Through Mathematics Conference
No abstract provided.
Phase-Preserving Machine Learning Forecasting Of Nonlinear Predator–Prey Dynamics, Saira Batool, Muhammad Imran, Brett Mckinney
Phase-Preserving Machine Learning Forecasting Of Nonlinear Predator–Prey Dynamics, Saira Batool, Muhammad Imran, Brett Mckinney
Biology and Medicine Through Mathematics Conference
No abstract provided.
Modeling Epidemic Dynamics With Renewal Processes And General Lifetime Distributions, Divine Wanduku, Divine Wanduku
Modeling Epidemic Dynamics With Renewal Processes And General Lifetime Distributions, Divine Wanduku, Divine Wanduku
Biology and Medicine Through Mathematics Conference
No abstract provided.
Remote Sensing To Detect Crop Damage By An Invasive Species, Cole Butler
Remote Sensing To Detect Crop Damage By An Invasive Species, Cole Butler
Biology and Medicine Through Mathematics Conference
No abstract provided.
The Making Of An Extremist: How Do We Become Someone Else’S Nightmare?, María Paula Morales
The Making Of An Extremist: How Do We Become Someone Else’S Nightmare?, María Paula Morales
The Confluence
This article explores how ordinary people can be pulled into extremist movements and what psychological forces drive that process. It looks at three perspectives: social identity theory, which explains how group belonging shapes behavior, identity development, which shows how people searching for meaning may find it in extremist causes; and social neuroscience, which connects radicalization to brain activity linked to fear, loyalty, and moral judgement. Together, these approaches show that radicalization is not simply about ideology but about identity, emotion, and belonging. By understanding these dynamics, we can find better ways to prevent extremism and promote healthier, more inclusive communities.
Dynamic Homeostasis In Relaxation And Bursting Oscillations, Christopher J. Ryzowicz
Dynamic Homeostasis In Relaxation And Bursting Oscillations, Christopher J. Ryzowicz
Biology and Medicine Through Mathematics Conference
No abstract provided.
Dynamics For Complex Quadratic Networks, Templates And Mutations, Anca R. Radulescu, Eva Kaslik, Alexander Fikl, Sarah Muldoon, Johan Nakuci, Mark Comerford
Dynamics For Complex Quadratic Networks, Templates And Mutations, Anca R. Radulescu, Eva Kaslik, Alexander Fikl, Sarah Muldoon, Johan Nakuci, Mark Comerford
Biology and Medicine Through Mathematics Conference
No abstract provided.
Modeling, Control Analysis, And Parameter Estimation Of Epidemic Dynamics Using The Unscented Kalman Filter, Muhammad Imran, Saira Batool, Brett Mckinney
Modeling, Control Analysis, And Parameter Estimation Of Epidemic Dynamics Using The Unscented Kalman Filter, Muhammad Imran, Saira Batool, Brett Mckinney
Biology and Medicine Through Mathematics Conference
No abstract provided.
Delineating Differences In Firing Rate Estimates Of Healthy And Parkinsonian Single-Unit Basal Ganglia Recordings, Richard R. Foster, Cheng Ly
Delineating Differences In Firing Rate Estimates Of Healthy And Parkinsonian Single-Unit Basal Ganglia Recordings, Richard R. Foster, Cheng Ly
Biology and Medicine Through Mathematics Conference
No abstract provided.
The Dynamics Of Synchrony On Replicating Biological Populations, Montse Torres Garcia, Kevin Mcgoff, Francis Motta, Breschine Cummins, Steve Haase
The Dynamics Of Synchrony On Replicating Biological Populations, Montse Torres Garcia, Kevin Mcgoff, Francis Motta, Breschine Cummins, Steve Haase
Biology and Medicine Through Mathematics Conference
No abstract provided.
Computation Models Of The Primary Auditory Cortex, Jonathan Gonzalez Martinez, Quynh-Anh Nguyen
Computation Models Of The Primary Auditory Cortex, Jonathan Gonzalez Martinez, Quynh-Anh Nguyen
Biology and Medicine Through Mathematics Conference
No abstract provided.
Gap Junction Architecture And Synchronization Clusters In The Thalamic Reticular Nuclei, Alex Norwood
Gap Junction Architecture And Synchronization Clusters In The Thalamic Reticular Nuclei, Alex Norwood
Biology and Medicine Through Mathematics Conference
No abstract provided.
Modeling Serotonin Metabolism Towards A Diagnostic Skin Test For Depression, Joel Greenfield
Modeling Serotonin Metabolism Towards A Diagnostic Skin Test For Depression, Joel Greenfield
Biology and Medicine Through Mathematics Conference
No abstract provided.
Dynamical Systems Modeling To Determine The Role Of Crosstalk In Shaping Stat Signaling Profiles, Laura F. Strube, Anamarie Martinez, Neha Cheemalavagu, Karsen Shoger, James Faeder, Rachel Gottschalk
Dynamical Systems Modeling To Determine The Role Of Crosstalk In Shaping Stat Signaling Profiles, Laura F. Strube, Anamarie Martinez, Neha Cheemalavagu, Karsen Shoger, James Faeder, Rachel Gottschalk
Biology and Medicine Through Mathematics Conference
No abstract provided.
A Stochastic And Spatial Model Of Microtubule Dynamics In Neuronal Dendrites, Meghan Kwon
A Stochastic And Spatial Model Of Microtubule Dynamics In Neuronal Dendrites, Meghan Kwon
Biology and Medicine Through Mathematics Conference
No abstract provided.
Mathematical Modeling Of A Coral-Symbiont System To Assess Heat-Induced Bleaching, Anna Zittle, Angela Reynolds, Rebecca Segal, Liza Roger, Nastassja Lewinski
Mathematical Modeling Of A Coral-Symbiont System To Assess Heat-Induced Bleaching, Anna Zittle, Angela Reynolds, Rebecca Segal, Liza Roger, Nastassja Lewinski
Biology and Medicine Through Mathematics Conference
No abstract provided.
Parameter Sensitivity, Identifiability, And Estimation For A Data-Driven Model Of Malaria, Katharine Gurski, Kathleen Hofman
Parameter Sensitivity, Identifiability, And Estimation For A Data-Driven Model Of Malaria, Katharine Gurski, Kathleen Hofman
Biology and Medicine Through Mathematics Conference
No abstract provided.
Agentic Scientific Machine Learning For Autonomous Model Discovery In Systems Pharmacology, Nazanin Ahmadi, George Karniadakis
Agentic Scientific Machine Learning For Autonomous Model Discovery In Systems Pharmacology, Nazanin Ahmadi, George Karniadakis
Biology and Medicine Through Mathematics Conference
No abstract provided.
Assessing Lagged Temperature Effects On Mosquito Life-History Traits, Nusrat Tabassum Dr.
Assessing Lagged Temperature Effects On Mosquito Life-History Traits, Nusrat Tabassum Dr.
Biology and Medicine Through Mathematics Conference
No abstract provided.
Incorporating Thermal Performance Curves Into Population Dynamic Models For The West Nile Vector, Culex Pipiens, Benjamin Bruncati, Helle Aronson, Chloé Lahondère, Michael A. Robert
Incorporating Thermal Performance Curves Into Population Dynamic Models For The West Nile Vector, Culex Pipiens, Benjamin Bruncati, Helle Aronson, Chloé Lahondère, Michael A. Robert
Biology and Medicine Through Mathematics Conference
No abstract provided.
Digging Deep Into Curation: A Guide To Creating A Local Fossil Museum, Syd Joheim, René Shroat-Lewis
Digging Deep Into Curation: A Guide To Creating A Local Fossil Museum, Syd Joheim, René Shroat-Lewis
Research and Creative Works Expo
In Arkansas, the dissemination of educational content related to evolution and natural history is often constrained by prevailing cultural dynamics. This has resulted in a significant gap in the exposure of primary and secondary school students to foundational concepts in natural history and physical sciences. Even the state’s most popular science and history museums often intentionally exclude exhibits that risk upsetting a large portion of their visitors, further exacerbating the issue. As a consequence, many children do not receive proper education on natural history and physical sciences. To address this educational deficiency, researchers identified and cataloged specimens from a collection …
Improved Oscillation Criteria For A Class Of Neutral Differential Equations In The Canonical Case, Abdulaziz Khalid Alsharidi, Ali Muhib
Improved Oscillation Criteria For A Class Of Neutral Differential Equations In The Canonical Case, Abdulaziz Khalid Alsharidi, Ali Muhib
Turkish Journal of Mathematics
This paper develops an analytical framework based on comparison with first-order equations to derive new oscillation criteria for all solutions of a class of second-order differential equations with multiple delays. These criteria extend and improve upon previously published results. Illustrative examples are provided to validate the theoretical findings and to demonstrate the significance and applicability of the proposed criteria.
Oscillation Properties Of First-Order Difference Equations With Nonmonotone Delays: New Insights And Criteria, Emad Attia, George Chatzarakis
Oscillation Properties Of First-Order Difference Equations With Nonmonotone Delays: New Insights And Criteria, Emad Attia, George Chatzarakis
Turkish Journal of Mathematics
In this paper, we examine the oscillatory behavior of the first-order linear delay difference equation Δy(n) + p(n) y(τ(n)) = 0, n ∈ ℕ0. It is known in the literature that, for any C > 0, the condition lim supn→∞ ∑i=τ(n)n p(i) > C, with τ(n) nonmonotone, is not, in general, sufficient to establish the oscillation of the difference equation. We prove that, for certain classes of difference equations, the aforementioned condition is sufficient to ensure the …
Assessing Vegetation Health Following The 2014 Carlton Complex Fire Using Remote Sensing, Rachael Sv Pentico
Assessing Vegetation Health Following The 2014 Carlton Complex Fire Using Remote Sensing, Rachael Sv Pentico
2026 Symposium
Climate change, combined with decades of altered fire regimes and fire suppression, has increased fuel accumulation across western U.S. forests, contributing to more frequent, larger, and more intense wildfires. Remote sensing offers an effective approach for analyzing these large-scale fire events and their ecological impacts, as satellite imagery enables affordable, accessible, and reproducible monitoring of vegetation change across broad spatial and temporal scales. This study examined the 2014 Carlton Complex Fire in the Methow Valley, Washington. Burning 265,108 acres, it was the largest wildfire in Washington State history at the time and caused extensive agricultural and forest damage. Post-fire vegetation …
A Tutorial For Identifying And Comparing Change Points In Developmental Trajectories, Holmes Finch
A Tutorial For Identifying And Comparing Change Points In Developmental Trajectories, Holmes Finch
Perspectives on Early Childhood Psychology and Education
Researchers in a variety of social science fields work with sequential data, such as measurements made over time. In some instances, one or more of the moments (e.g., mean, variance) of the series may change abruptly at some point in the sequence, yielding what is known as a change point. There is a broad literature describing methods for changepoint detection. Researchers working with multiple sequential series containing change points may be interested in comparing the locations of these changes. The purpose of this manuscript is to demonstrate how a researcher can detect changepoints and compare changepoints between two or more …
Urban Conflagrations: Structural Ash And Soil Metal(Loid) Contamination After California’S Eaton And Palisades Fires, S. Anselme Dossou, Leon Kelly, P. Louis Lu, Robin Jones, Oliver O'Donnell, Justin St. P. Walsh, Daniel D. Richter
Urban Conflagrations: Structural Ash And Soil Metal(Loid) Contamination After California’S Eaton And Palisades Fires, S. Anselme Dossou, Leon Kelly, P. Louis Lu, Robin Jones, Oliver O'Donnell, Justin St. P. Walsh, Daniel D. Richter
Art Faculty Articles and Research
In the weeks after California’s Eaton-Palisades wildfires, structural ash of burned homes and soils from yards and curbsides were sampled for analysis of Pb, As, and eight metals from 32 burned residences. About six months after fires and after US Army Corps of Engineers’ Phase 2 cleanups removed 15 cm from structural ash footprints, 17 properties were resampled within about a meter of original sampling sites. Concentrations of metal(oid)s in structural ash and residential soils varied between and within properties with significant spatial and temporal patterns. Lead concentrations were highest in structural ash and soil of yards of select pre-1970s …