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Articles 160531 - 160560 of 5150711
Full-Text Articles in Entire DC Network
2025-2026 Quillen College Of Medicine Analysis Tables (July), Budget And Financial Planning, East Tennessee State University
2025-2026 Quillen College Of Medicine Analysis Tables (July), Budget And Financial Planning, East Tennessee State University
College of Medicine Operating Budgets and Analysis
No abstract provided.
2025-2026 Quillen College Of Medicine Operating Budget (July), Budget And Financial Planning, East Tennessee State University
2025-2026 Quillen College Of Medicine Operating Budget (July), Budget And Financial Planning, East Tennessee State University
College of Medicine Operating Budgets and Analysis
No abstract provided.
Aeolus-Ds: Dust-Aware Ai Decision Support For Coccidioidomycosis (Valley Fever) — A Design Science Research Framework Integrating Aerosol Remote Sensing, Land Disturbance, And Clinical Sentinel Signals, Harsha Sammangi, Aditya Jagatha, Harshini Balaga
Aeolus-Ds: Dust-Aware Ai Decision Support For Coccidioidomycosis (Valley Fever) — A Design Science Research Framework Integrating Aerosol Remote Sensing, Land Disturbance, And Clinical Sentinel Signals, Harsha Sammangi, Aditya Jagatha, Harshini Balaga
Research & Publications
This paper presents Aeolus-DS, a design science research (DSR) artifact that integrates aerosol remote sensing (MAIAC AOD; dust fraction), mesoscale meteorology and soil moisture (ERA5), land-disturbance telemetry (construction, off-road vehicle activity, nightlights) and clinical sentinel signals (syndromic ED chief complaints, pneumonia rule-out) into a dust-aware, AI-driven early warning and decision-support system for Coccidioidomycosis (Valley Fever). Methodologically, we propose a graph spatiotemporal transformer with direction-aware attention and physics-guided regularisation reflecting aeolian transport. Using county-week panels (2014-2024) for the U.S. Southwest (AZ–CA–NV), Aeolus-DS improves now-casting mean absolute error (MAE) by 18% and two-week area under precision-recall curve (AUPRC) by 21% over …
2025-2026 Etsu General Academic Analysis Table (July), Budget And Financial Planning, East Tennessee State University
2025-2026 Etsu General Academic Analysis Table (July), Budget And Financial Planning, East Tennessee State University
ETSU General Academic Operating Budgets and Analysis
No abstract provided.
2025-2026 Etsu General Academic Operating Budget (July), Budget And Financial Planning, East Tennessee State University
2025-2026 Etsu General Academic Operating Budget (July), Budget And Financial Planning, East Tennessee State University
ETSU General Academic Operating Budgets and Analysis
No abstract provided.
Building Social Butterflies And Learning Circles: The Key To Organizational Safety Potential, Trevor Farr
Building Social Butterflies And Learning Circles: The Key To Organizational Safety Potential, Trevor Farr
ASEM Capstones
2025 ASEM 620 Capstone Project
News From Hope College, Volume 57.1: Summer 2025, Hope College
News From Hope College, Volume 57.1: Summer 2025, Hope College
News from Hope College
No abstract provided.
Constitutional Carry, Stand-Your-Ground Laws And Defensive Firearm Use, Mark P. Gius
Constitutional Carry, Stand-Your-Ground Laws And Defensive Firearm Use, Mark P. Gius
Pennsylvania Economic Review
Over the past several years, there has been a significant increase in the number of states allowing concealed weapons carry without a permit (constitutional carry), and an increase in the number of states that have enacted stand-your-ground laws. The purpose of the present study is to determine if the enactment of constitutional carry and stand-your-ground laws have had any statistically significant effects on incidents of defensive firearm use. Using a fixed effects, negative binomial model, it was found that both constitutional carry and stand-your-ground laws resulted in an increase in the number of casualties of defensive firearm uses (injured and …
Assessment Of Spatial Autocorrelation And Scalability In Fine-Scale Wildfire Random Forest Prediction Models, Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros
Assessment Of Spatial Autocorrelation And Scalability In Fine-Scale Wildfire Random Forest Prediction Models, Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Wildfire prediction models that can be applied across diverse regions at fine scales (< 100 m) are critical for wildfire management. Remote sensing offers a path forward by providing heterogeneous and dynamic measurements of fuel load, type, and flammability. Machine learning methods such as random forests provide an empirical framework that are high-accuracy, computationally efficient, interpretable and able to model complex ecological relationships. Here we use high resolution (70 m, every 3–5 days) remote sensing observations of evapotranspiration and evaporative stress index, which represent plant water stress, from Ecosystem Spaceborne Thermal Radiometer on Space Station (ECOSTRESS), as well as topography and weather data, to predict burn severity and occurrence for 8 large wildfires that burned 3715 km2 from 2021 and 2022 in New Mexico, USA. These fires ranged from low to high burn intensity, and covered a diverse range of ecoregions (deserts, grasslands, forests), plant species, and topographies. We used a single model to predict the burn severity of all wildfires one week before occurrence. The prediction accuracy was greatest when using all predictors (ECOSTRESS, weather, topography) (R2 = 0.77). We assessed the role of spatial autocorrelation in driving model performance by: (1) increasing the sample spacing of our dataset, (2) …
Dataset Description, Bradley M. Ratliff
Dataset Description, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric dataset containing data collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. A model desert terrain model was constructed and imaged for eight different scenarios consisting of different model panel and vehicle targets. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Laboratory And Data Preview Animations, Bradley M. Ratliff
Laboratory And Data Preview Animations, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Contains video animations for each ARSSS laboratory experiment previews for each polarimetric data file in animated GIF format for the Model Desert Terrain Monochromatic DoT dataset.
Polarimetric Data: Scenario 04, Bradley M. Ratliff
Polarimetric Data: Scenario 04, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Scenario 08, Bradley M. Ratliff
Polarimetric Data: Scenario 08, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Data Annotations, Bradley M. Ratliff
Data Annotations, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Parking Lot RGB DoFP data.
Data Preview Animations, Bradley M. Ratliff
Data Preview Animations, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Contains video animations for each polarimetric data file in animated GIF format for the Model Parking Lot RGB DoFP dataset.
Polarimetric Data: Sparse Scenarios 05 - 08, Bradley M. Ratliff
Polarimetric Data: Sparse Scenarios 05 - 08, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data sparse configuation Scenarios S05 through S08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Sparse Scenarios 13 - 16, Bradley M. Ratliff
Polarimetric Data: Sparse Scenarios 13 - 16, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data sparse configuation Scenarios S13 through S16 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Utility Functions (Matlab), Bradley M. Ratliff
Utility Functions (Matlab), Bradley M. Ratliff
Source Code
This zip file contains various utility functions for working with polarimetric image data that are particularly useful for working with imaging polarimeter data produced by the Applied Sensing Lab.
Site Fidelity Is Associated With The Social Experience Of Forked Fungus Beetles (Bolitotherus Cornutus), Joo Yeon Kim , '22, C. W. Wood, E. D. Brodie Iii, Vincent A. Formica
Site Fidelity Is Associated With The Social Experience Of Forked Fungus Beetles (Bolitotherus Cornutus), Joo Yeon Kim , '22, C. W. Wood, E. D. Brodie Iii, Vincent A. Formica
Biology Faculty Works
Consistently returning to or remaining within a specific location, a behavior known as site fidelity, is a useful metric for quantifying animal space use. When multiple individuals display similar site fidelity patterns, they are likely to interact, shaping the degree and quality of their social interactions. However, the link between the expression of site fidelity behavior and an individual’s social experience has not been thoroughly investigated. In this study we examined (1) how intrinsic individual properties (body size and sex) predicted variation in site fidelity and (2) whether site fidelity was linked to the social experience of individuals in wild …
From Diagnosis To Conception: Managing Polycystic Ovary Syndrome-Related Subfertility With A Multimodal Strategy: A Case Study, Uzma Akhtar, Shafiq Ur Rahman, Rafat Jan, Sumaira Naz
From Diagnosis To Conception: Managing Polycystic Ovary Syndrome-Related Subfertility With A Multimodal Strategy: A Case Study, Uzma Akhtar, Shafiq Ur Rahman, Rafat Jan, Sumaira Naz
Journal of Asian Midwives (JAM)
Polycystic Ovary Syndrome (PCOS) is a leading cause of infertility, primarily due to anovulation caused by hormonal imbalances, insulin resistance, and disrupted ovarian function. This paper describes a 28-year-old woman with PCOS who presented with subfertility after failing to conceive for 10 months. Initial treatment involved Metformin for insulin resistance, vitamin D, folic acid, and Dydrogesterone for cycle regulation. Ovulation induction with Letrozole was initiated but showed a suboptimal response in three cycles. Success was achieved in the fourth cycle by combining Letrozole with injectable Menotropins (HMG), leading to improved follicular growth, endometrial thickness, and successful conception. This case highlights …
Post-Natal Mother’S Perception Of Health Care Workers’ Attitude In Calabar Municipality, Nigeria: A Study In Maternity Care, Inyang E. Eko, Ngozi P. Ogbonnaya, Peace C. Alichie, Stehanie C. Osuorah, Ezioma Lordson
Post-Natal Mother’S Perception Of Health Care Workers’ Attitude In Calabar Municipality, Nigeria: A Study In Maternity Care, Inyang E. Eko, Ngozi P. Ogbonnaya, Peace C. Alichie, Stehanie C. Osuorah, Ezioma Lordson
Journal of Asian Midwives (JAM)
This study explores post-natal mothers’ perceptions of health care workers’ attitudes in Calabar Municipality, Cross Rivers State, Nigeria.
Methods: A cross-sectional design was adopted in which the target population of the study involves all post-natal mothers in Calabar Municipality, which amounts to 57229 women and 440 mothers. These women and mothers were selected from the accessible population which included women carefully chosen from three public health facilities - the University of Calabar Teaching Hospital (UCTH), the General Hospital of Calabar (GHC), and a primary health center in Big Qua using multistage stage sampling techniques. Data were collected using a …
What Is Midwifery Work In Low And Middle-Income Countries? A Systematic Review To Enhance Midwifery Practices In Resource-Constrained Contexts, Qorinah Estiningtyas Sakilah Adnani, Ela Nurfitriyani, S. Tr. Keb, Niken Bayu Argaheni, Rufidah Maulina, Victor Abiola Adepoju, Maeve O’Connell
What Is Midwifery Work In Low And Middle-Income Countries? A Systematic Review To Enhance Midwifery Practices In Resource-Constrained Contexts, Qorinah Estiningtyas Sakilah Adnani, Ela Nurfitriyani, S. Tr. Keb, Niken Bayu Argaheni, Rufidah Maulina, Victor Abiola Adepoju, Maeve O’Connell
Journal of Asian Midwives (JAM)
Background: Midwifery plays a crucial role in enhancing maternal and newborn health outcomes in low- and middle-income countries (LMIC). This systematic review aims to provide a comprehensive and evidence-based evaluation of midwifery practice in LMIC, beyond specific outcomes and interventions.
Methods: A systematic literature search was conducted using electronic databases including PubMed, Embassy, Scopus, Web of Science, and CINAHL, covering the period from 2019 to 2023. The search strategy employed predefined keywords and Medical Subject Headings (MeSH) terms related to midwives, maternal health, newborn health, and LMIC. The findings were analyzed using a narrative synthesis approach to identify key …
Gis-Based Swat Modeling For Surface Runoff Assessment To Support Urban Flood Resilience In Central Java, Indonesia, Putri Amalia Sholichah Ms., Endah Sulistyawati, Susana Paulina Dewi
Gis-Based Swat Modeling For Surface Runoff Assessment To Support Urban Flood Resilience In Central Java, Indonesia, Putri Amalia Sholichah Ms., Endah Sulistyawati, Susana Paulina Dewi
Smart City
Surface runoff significantly contributes to environmental hazards such as floods in Indonesia, including in Borobudur District. Based on watershed delineation, the administrative area of Borobudur District is predominantly located within the Sileng Subwatershed. The rehabilitation zones managed by PT Adaro Indonesia are located in several specific areas within this subwatershed. This study utilizes the SWAT (Soil and Water Assessment Tool) model integrated with GIS (Geographic Information System) to simulate surface runoff quantitaively in the Sileng subwatershed, part of the Progo watershed in Central Java Province. SWAT is applied in this research to simulate surface runoff in both watershed and …
Investigating Hurricane-Induced Salt Variation Across The Land-Estuary-Ocean Continuum Using A Dynamically Coupled Hydrological-Ocean Model, Xiaochen Zhao, Z. George Xue, Daoyang Bao, John Warner, Yanda Ou
Investigating Hurricane-Induced Salt Variation Across The Land-Estuary-Ocean Continuum Using A Dynamically Coupled Hydrological-Ocean Model, Xiaochen Zhao, Z. George Xue, Daoyang Bao, John Warner, Yanda Ou
Faculty Publications
Salinity variations across the Land-Estuary-Ocean (LEO) continuum are critical for coastal ecosystems and impact the socioeconomic benefits to local communities. However, evaluating these variations is challenging due to the complex interactions of terrestrial and oceanic processes, including river discharge, winds, tides, sea level rise, and storms. This study incorporates a salinity module into a newly developed dynamically coupled hydrological-ocean model on the COAWST platform, which is, to the best of our knowledge, the first process-based modeling that achieves seamless two-way land-ocean water and salt exchanges across the LEO continuum, facilitating simulations of landward salt input and transport. Using Hurricane Florence …
Global Database For Naturally Occurring Radionuclides Associated With Offshore Oil And Gas Production, Ziran Wei, Songjie He, Stephanie Sharuga, Kanchan Maiti
Global Database For Naturally Occurring Radionuclides Associated With Offshore Oil And Gas Production, Ziran Wei, Songjie He, Stephanie Sharuga, Kanchan Maiti
Faculty Publications
This study compiles a comprehensive dataset on the occurrence, distribution, and potential impacts of Naturally Occurring Radionuclides (NORMs) near offshore oil and gas platforms. It encompasses data, including activities (Bq/l) and exposure levels (Msv), derived from various environmental matrices. A particular emphasis is placed on petroleum products and waste, such as produced water, scales, and sludges. The dataset contributes to a better understanding of the distribution of NORM wastes in marine environments, informs future radiological safety standards, contributes to the formulation of regulatory policies, and facilitates the design of mitigation strategies. The information—literature and data from five continents over the …
Water Exposure Time Distributions Controlled By Freshwater Releases In A Semi-Enclosed Estuary, Caitlin R.R. Turner, Matthew Hiatt
Water Exposure Time Distributions Controlled By Freshwater Releases In A Semi-Enclosed Estuary, Caitlin R.R. Turner, Matthew Hiatt
Faculty Publications
Freshwater diversions manage water shortages, salinity, and control floodwater by redirecting river flows; however, their full ecological and hydrological impact remains unknown. This study examines the Lake Pontchartrain Estuary in Louisiana using a hydrodynamic model and Lagrangian particle tracking to assess how diversion operations (open, closed) and tributary discharge levels (low, median, high) influence water exposure time—the cumulative duration water remains in a domain, including re-entry. Exposure time was analyzed based on the time required for 50%, 75%, and 90% of released particles ((Formula presented.), (Formula presented.), and (Formula presented.)) to leave a defined region of interest (ROI). Results show …
Introduction To Collective Neutrosophy And Collective N-Ary Neutrosophy, Florentin Smarandache
Introduction To Collective Neutrosophy And Collective N-Ary Neutrosophy, Florentin Smarandache
Neutrosophic Sets and Systems
No abstract provided.
Does Non-Idealism Entail Particularism?, John Lawless
Does Non-Idealism Entail Particularism?, John Lawless
Faculty Publications - Philosophy
No abstract provided.
What Went Right And What Went Wrong: A Multiple Case Study Of Firefighters Surviving Life-Threatening Situations, Peter J. Gushee
What Went Right And What Went Wrong: A Multiple Case Study Of Firefighters Surviving Life-Threatening Situations, Peter J. Gushee
PhD in Organizational Leadership
The present study explored the lived experiences of firefighters who survived life-threatening situations in burning buildings, examining how these experiences unfolded and the leadership structures that shaped those experiences. Employing A. P. Giorgi and Giorgi’s (2003) scientific phenomenological analysis, the present study identified the general structure of the firefighter survival experience, which was comprised of 11 constituents, highlighting survival as a dynamic, identity-bound process shaped by adaptive behaviors, internalized beliefs, and evolving situation-specific conditions. Leadership was found to operate at the systems, organizational, and group levels, enabling or constraining firefighter readiness, adaptation, and recovery. By integrating Safety-I and Safety-II perspectives …
The Influence Of Millennial Women In Leadership: Examining Emotional Intelligence And Motivations Of Millennial Women, Leah Gossai
The Influence Of Millennial Women In Leadership: Examining Emotional Intelligence And Motivations Of Millennial Women, Leah Gossai
PhD in Organizational Leadership
This quantitative study explored the relationship between emotional intelligence (EI) and motivation to lead (MTL) among millennial women in leadership roles. Using the Wong and Law Emotional Intelligence Scale (WLEIS) and the Motivation to Lead (MTL) framework, the research examined how four EI dimensions, self-emotion appraisal (SEA), others’ emotion appraisal (OEA), use of emotion (UOE), and regulation of emotion (ROE), relate to three MTL dimensions: affective-identity (AIMTL), social-normative (SNMTL), and non-calculative (NCMTL). Data were collected from 117 millennial women leaders across various industries in the United States. Results revealed a significant negative correlation between SEA and NCMTL, suggesting that those …