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Digital Leadership: Secondary Education Principals’ Perceptions And Change Competencies Toward Implementing Digital Citizenship Curricula, Waylon M. Randolph Oct 2025

Digital Leadership: Secondary Education Principals’ Perceptions And Change Competencies Toward Implementing Digital Citizenship Curricula, Waylon M. Randolph

Electronic Theses and Dissertations

Secondary education public schools are increasingly being confronted with student misuse of information and communication technologies (ICTs). Students are using these technologies to engage in disruptive and harmful behaviors like cyberbullying and sexting. As a result, some public school districts have responded by banning the use of ICTs in the classroom, while others have turned to teaching digital citizenship through a dedicated digital citizenship curriculum. However, effectively implementing such a curriculum remains a significant challenge. According to the literature, the best way to implement a digital citizenship curriculum is by fostering a positive school culture where stakeholders model and support …

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Growing South Dakota (Fall 2025), College Of Agriculture, Food And Environmental Sciences Oct 2025

Growing South Dakota (Fall 2025), College Of Agriculture, Food And Environmental Sciences

Growing South Dakota (Publication of the College of Agriculture, Food and Environmental Sciences)

[Page] 2 Mesonet at SDState: A benefit to every South Dakotan
[Page] 6 Governor’s Ag Ambassador — Glenn Muller
[Page] 8 Precision agriculture cooperative agreement signed with University of Debrecen
[Page] 10 Students experience international agriculture, culture in Vietnam, New Zealand
[Page] 12 Legen-dairy! SDSU students claim national judging awards
[Page] 13 SDSU Rodeo Team continues storied rodeo tradition at nationals
[Page] 14 SDSU wheat breeders helping feed the world
[Page] 20 SDSU drone holds promise for soil, leaf sampling
[Page] 22 Don't be a fish out of water
[Page] 24 A passion for academic advising
[Page] 25 One takeaway …

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Sullivan. V. Baker Ranches, Inc., 141 Nev. Adv. Op. 36 (2025), Andre Anaya Oct 2025

Sullivan. V. Baker Ranches, Inc., 141 Nev. Adv. Op. 36 (2025), Andre Anaya

Nevada Supreme Court Summaries

No abstract provided.

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An Animal Interest Approach Method As A Gateway To A One Health Educated Pipeline, Meghan C. Wulster-Radcliffe, Sarah A. Reed, James N. Macleod, Rebekah B. Epps, J. Scott Radcliffe, Robert J. Coleman, Steven A. Zinn Oct 2025

An Animal Interest Approach Method As A Gateway To A One Health Educated Pipeline, Meghan C. Wulster-Radcliffe, Sarah A. Reed, James N. Macleod, Rebekah B. Epps, J. Scott Radcliffe, Robert J. Coleman, Steven A. Zinn

Animal and Food Sciences Faculty Publications

No abstract provided.

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Performance Limiting Factors For Silicon Anodes In Lithium-Ion Batteries, Najmaddin Bashirzada Oct 2025

Performance Limiting Factors For Silicon Anodes In Lithium-Ion Batteries, Najmaddin Bashirzada

Theses and Dissertations

The rising global demand for high-performance and sustainable energy storage solutions has placed lithium-ion batteries (LIBs) at the forefront of technological progress. However, the energy density limits of traditional graphite anodes require the investigation of alternative materials. Silicon (Si), with its high theoretical capacity, is a promising anode material. Still, its practical use faces major challenges such as volumetric expansion, unstable solid electrolyte interphase (SEI) formation, and low conductivity. This thesis examines the electrochemical behavior and limitations of Si-based electrodes using coin cells and ex-situ three-electrode cells. A comparison of electrochemical testing methods – i.e., Galvanostatic Intermittent Titration Technique (GITT) …

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Ursinus Magazine, Fall 2025, Gundolf Graml, Steve Thomas, Jennifer L. Post-Whisted, Alyssa Kratz, Brad Drexler, Connor Donohue, Michelle Yurko Oct 2025

Ursinus Magazine, Fall 2025, Gundolf Graml, Steve Thomas, Jennifer L. Post-Whisted, Alyssa Kratz, Brad Drexler, Connor Donohue, Michelle Yurko

Ursinus Magazine, 1995–Present

Introducing Interim President Gundolf Graml • Transfer agreement signed with DCCC • New Native American and Indigenous Studies minor • Students get front-row seat to optical innovation • Study abroad expands in Ireland • Alumna earns fellowship from French government • Softball roots, Phillies dreams • New Spirit Store now open • Ursinus' youngest student: Making headlines worldwide • Alumna earns Fulbright award • Ursinus, America250PA support PA scholars • Alumni join Ursinus Board of Trustees • When generosity meets vision • Ursinus named to Phi Theta Kappa Transfer Honor Roll • Field hockey team explores South Africa • Rankings …

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Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications Oct 2025

Spartan Daily, October 1, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 17

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Introduction: Dreaming The Daily Darg, Corey Gibson Oct 2025

Introduction: Dreaming The Daily Darg, Corey Gibson

Studies in Scottish Literature

Describes the scope of the Carnegie Trust -funded project on Working Lives in Scottish Writing since 1918, discusses the topics and theoretical perspectives explored in the research phase, noting both change and continuity from the treatment dominant in early and mid-20th century Scottish literary studies, and introduces the essays in this special issue and their contributions to the wider project theme.

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Development Of A Lightweight Dataset Catalog With Digital Commons, Claire Warner, Amy Reese, Marla Hertz Oct 2025

Development Of A Lightweight Dataset Catalog With Digital Commons, Claire Warner, Amy Reese, Marla Hertz

Libraries Professional Work

Many academic libraries maintain dataset catalogs to make the research data produced by their institutions more findable, accessible, interoperable, and reusable (FAIR). These catalogs use a variety of approaches to gather metadata for dataset records and may be hosted on one of several platforms. Our approach is to develop Python code and leverage APIs to locate relevant datasets, then harvest and clean the associated metadata. The cleaned metadata is manually curated and enhanced before being added to the Dataset Catalog. We employ the hosted institutional repository Digital Commons to display the dataset records. Combining API harvesting and automated data cleaning …

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Additively Manufactured Bioinspired Microstructures For Active Surface Modification, Zefu Ren Oct 2025

Additively Manufactured Bioinspired Microstructures For Active Surface Modification, Zefu Ren

Doctoral Dissertations and Master's Theses

Advancements in additive manufacturing have facilitated the development of bioinspired microstructures, which hold promise for applications, such as liquid transport, self-cleaning, and anti-icing. However, the controllability of these microstructures remains an area requiring further exploration. This research explores the design, fabrication, and active control of 3D-printed bioinspired microstructures for dynamic wettability modulation. First, the anisotropic scales of butterfly wings were replicated through optimized two-photon polymerization printing strategies, achieving directional droplet motion controlled by structural geometry and arrangement. The reversed wetting trend compared with natural wings revealed key insights into the structure–performance relationship. Next, microstructures were integrated with dielectric elastomer actuators …

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Investigating Driver Perceptions Of Semi-Autonomous Vehicle Sensing And Response Characteristics, Molly Mersinger Oct 2025

Investigating Driver Perceptions Of Semi-Autonomous Vehicle Sensing And Response Characteristics, Molly Mersinger

Doctoral Dissertations and Master's Theses

As semi-autonomous vehicle (SAV) technologies become increasingly integrated into modern transportation, understanding how the public perceives their capabilities is essential for ensuring safe and effective human-automation interaction. This study examined drivers’ perceptions of SAV detection and discernment abilities across 28 driving conditions and how those perceptions related to expected vehicle behaviors in 17 corresponding scenarios. Exploratory and confirmatory factor analyses identified three perceptual dimensions: Traffic Infrastructure and Vehicle Recognition, Dynamic Roadway Hazards and Vulnerable Road Users, and Human Interaction and Contextual Cues. Moderate overlap between the first two dimensions suggested that participants viewed certain structured and dynamic roadway features as …

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Resilience Engineering Via Bifurcation And Ecological Network Analysis: Demonstrated In An Electric Power Case Study, Rogelio Gracia Otalvaro Oct 2025

Resilience Engineering Via Bifurcation And Ecological Network Analysis: Demonstrated In An Electric Power Case Study, Rogelio Gracia Otalvaro

Doctoral Dissertations and Master's Theses

Modern systems are increasingly complex, interconnected cyber-physical systems that combine digital controls with physical infrastructure. This integration, along with the constant introduction of new technologies and actors into the network, enables reliable operation but introduces vulnerabilities to unexpected and varied disruptions and cascading failures, making resilience a critical concern. Traditional risk management and resilience assessment methods often struggle with the nonlinearity and dynamic behavior of these systems. This dissertation proposes a novel approach combining Bifurcation Analysis (BA) and Ecological Network Analysis (ENA) to enhance the understanding and improvement of system resilience. BA, a mathematical method from dynamical systems theory, is …

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Adaptive Control For Spacecraft With Flexible Appendages With Unknown Parameters, Nicolo Woodward Oct 2025

Adaptive Control For Spacecraft With Flexible Appendages With Unknown Parameters, Nicolo Woodward

Doctoral Dissertations and Master's Theses

Flexible spacecraft pose several challenges in control design due to the uncertain dynamical model and the underactuated nature of these systems. Adaptive and robust controllers are the common choice for these systems to either meet operational requirements like attitude pointing or to suppress vibrations. However, these controllers add complexity in the design of onboard Attitude Determination and Control Systems (ADCS) and the Reaction Control Systems (RCS) for spacecraft maneuvering. The objective of this research is to control a system that undergoes unpredictable and unknown disturbances through onboard derivation of an equivalent reduced order model designed around mounted sensors. The proposed …

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Bridging The Rural Telehealth Divide, Deborah Farringer Oct 2025

Bridging The Rural Telehealth Divide, Deborah Farringer

Law Faculty Scholarship

This article examines the historical development, regulatory landscape, and post-pandemic future of telehealth in the United States, with a particular focus on its original purpose: improving access to care for rural populations. Although Congress first authorized Medicare reimbursement for telehealth in 1997 to alleviate rural health disparities, federal and state regulatory frameworks—especially restrictions on originating sites, licensure rules, and HIPAA-driven technology requirements—significantly limited adoption for more than two decades. The COVID-19 public health emergency triggered sweeping temporary waivers that removed geographic limitations, permitted the use of common communication technologies, liberalized supervision and prescribing rules, and allowed audio-only encounters. These changes …

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Performances In Last-Mile Deliveries Involving Cyclic Services Of Shuttles And Cargo Bikes, Byung Kwon Lee, Young Joo Kim, Joyce M. W. Low Oct 2025

Performances In Last-Mile Deliveries Involving Cyclic Services Of Shuttles And Cargo Bikes, Byung Kwon Lee, Young Joo Kim, Joyce M. W. Low

Research Collection Lee Kong Chian School Of Business

This study introduces a novel approximation model that integrates the ideologies of order statistics and max-plus algebra in representing the collection and distribution service schemes of a last-mile delivery system. Under the respective schemes, electric cargo bikes (e-bikes) perform the last-mile delivery near a microhub with shuttles collecting packages from multiple local logistics hubs (or local hubs, for short) and/or distributing packages to multiple microhubs. The framework is designed to estimate the cyclic capacity under varying cargo carrying capacities of the e-bikes and service network configurations. Real-world data, such as the geographic conditions of the streets around the microhubs in …

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Immigrant Entrepreneurship: A Survey Of "Start-Up" & Investor Visa Programs And Their Effects, Candace Yuan Oct 2025

Immigrant Entrepreneurship: A Survey Of "Start-Up" & Investor Visa Programs And Their Effects, Candace Yuan

The International Law Review Association Student Forum

Entrepreneurship has positive economic benefits and allows for innovative progress within countries. Immigrants, specifically, are in a unique position to bring new perspectives, backgrounds, and ideas to their host countries, which makes them especially entrepreneurial. In particular, immigrants play key roles in their host country by starting businesses or making investments that lead to job creation, innovation, and increased national productivity. This broader phenomenon is known as Immigrant Entrepreneurship, where immigrants contribute to the economy of their host country by starting new businesses or investing. Immigrant entrepreneurship is a developing but relevant topic, as literature in this arena suggests that …

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Flatness-Based Active Disturbance Rejection Control With B-Spline Output Regulation For A Chemical Reactor, Qasim M. Hamad, Safanah M. Raafat Oct 2025

Flatness-Based Active Disturbance Rejection Control With B-Spline Output Regulation For A Chemical Reactor, Qasim M. Hamad, Safanah M. Raafat

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Model uncertainties and exogenous disturbances are inherent phenomena in chemical plants that degrade performance and lead to poor-quality products. To mitigate these Issues, this paper addresses disturbances by exploiting the differential flatness property (DFP) of the nonlinear continuous stirred tank reactor (NCSTR). A two-degree-of-freedom (2DOF) control design was implemented, incorporating flatness-based feedforward and feedforward and feedback controllers. This design leverages the differential flatness method for effective stabilization and tracking performance. A robust feedback tracking control strategy integrating a disturbance observer (DO) and a simple feedback controller was implemented to form a flatness active disturbance rejection control (FADRC) scheme. The B-spline …

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Group-Based Sample Partitioning Knn: A Computationally Efficient Knn Algorithm For Resource-Constrained Environments, Ayad M. Dalloo, Amjad J. Humaidi Oct 2025

Group-Based Sample Partitioning Knn: A Computationally Efficient Knn Algorithm For Resource-Constrained Environments, Ayad M. Dalloo, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The k-Nearest Neighbors (kNN) algorithm is widely used for classification due to its simplicity and effectiveness. However, its computational cost remains a significant challenge, particularly for embedded systems with limited processing power and memory. To address this Issue, we propose the Group-Based Sample Partitioning (k²NN) Algorithm, which introduces a two-phase approach to reduce computational complexity while maintaining classification accuracy. In the first phase, the algorithm pre-groups training samples by iteratively selecting anchor points and partitioning their k-nearest neighbors, thereby reducing redundancy in the dataset. In the second phase, the test sample dynamically selects local anchor points, constructing a smaller, more …

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Video Deep Fake Detection Based On Spatiotemporal Analysis, Muna Ghazi Abdulsahib Oct 2025

Video Deep Fake Detection Based On Spatiotemporal Analysis, Muna Ghazi Abdulsahib

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Deep fake videos are a threat to information integrity by using advanced deep learning techniques to manipulate visual content and make it hard to distinguish from real videos. This includes videos where a person’s image is changed or replaced using deep learning techniques. In this paper, we propose a hybrid approach for deep fake video detection that combines spatial and temporal features. We use a pre-trained VGG16 to extract deep spatial features from individual frames, and then global average pooling at both spatial and temporal level to convert variable length video sequences into fixed dimensional representations. A fully connected classifier …

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A Review Of Post-Quantum Digital Signature Schemes Applicability And Performance In Various Environments, Marwa M. Hamood, Arwa A Oct 2025

A Review Of Post-Quantum Digital Signature Schemes Applicability And Performance In Various Environments, Marwa M. Hamood, Arwa A

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The emergence of quantum computers, coupled with relentless advancements in technology, calls for the immediate transition from classical to modern cryptography for efficient data transfer across optic fibers. This paper assesses different proposed post-quantum signature schemespertaining to their plausibility of being useful against quantum computers’ capabilities. The ability of quantum computers to solve mathematical equations at speeds significantly faster than those of classical computers is remarkable. Existing cryptographic frameworks that depend on discrete logarithms and integer factorization are seriously threatened by this exceptional efficiency. In order to protect sensitive data in a post-quantum world, it may be necessary to reevaluate …

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Emotion Recognition From Upper-Body Movements With A Pose Collage Cnn Architecture, Gheed Tawfeeq Waleed, Shaymaa Hameed Oct 2025

Emotion Recognition From Upper-Body Movements With A Pose Collage Cnn Architecture, Gheed Tawfeeq Waleed, Shaymaa Hameed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Emotion recognition through body movement presents a compelling alternative to traditional facial and vocal analysis in the field of emotion recognition . This study introduces a deep learning-based framework that utilizes upper-body movements features to classify emotional states using ConVolutional Neural Networks (CNNs). The system is trained and evaluated on the Body Language Dataset (BoLD) dataset, targeting seven primary emotions: happiness, sadness, anger, fear, surprise, joy, and disgust. The proposed model achieves a classification accuracy of 95.72%, significantly outperforming existing methods in bodybased emotion recognition. The result highlights the potential of body posture as a reliable and standalone modality for …

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New Traffic Control Based On Vanets Protocols Technique, Bushra Jaber M.Jawad Oct 2025

New Traffic Control Based On Vanets Protocols Technique, Bushra Jaber M.Jawad

Iraqi Journal of Computers, Communications, Control and Systems Engineering

An ad hoc network in a mobile system is known as a vehicular network. This application is useful in communication between the roadside and vehicle infrastructures. Nowadays, the deficiency and quality of transport classifications of smart transport systems are playing a vital and excessive role. This paper presents the examination of the traffic stream under VANET protocol methods. In the execution of luxury and safe vehicular ad hoc networks, the automobile must resolve inquiry information from other vehicles through multi-loop organizations. In case of the data move in vehicular ad hoc networks, it should have to aspect numerous disruptions because …

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Applications And Control Of Cable-Driven Parallel Robot: A Review, Yasser Hatim Alwan, Muayad Sadik, Ahmed Alaa Oglah Oct 2025

Applications And Control Of Cable-Driven Parallel Robot: A Review, Yasser Hatim Alwan, Muayad Sadik, Ahmed Alaa Oglah

Iraqi Journal of Computers, Communications, Control and Systems Engineering

A cable driven parallel robot (CDPR) is a specific kind of parallel robot that utilizes cables as opposed to traditional rigid links to perform their functions. This gives it the advantages of being lightweight, having a wide operational workspace, and being easier and less expensive to implement than alternatives since it only requires cables operated by motors and fixed to a structure suitable for a certain application, allowing them to move and rotate an end-effector. The concept of this robot is not new though using a fully automated version of it was only started in the mid1980s and witnessed extensive …

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Improved Carrier Frequency Offset Measurement With Reduced Latency And Computational Requirements, Niyaz Othman Ali, Jalal Jamal Oct 2025

Improved Carrier Frequency Offset Measurement With Reduced Latency And Computational Requirements, Niyaz Othman Ali, Jalal Jamal

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Over the past four decades, the communication sector has experienced significant economic growth and widespread adoption. Some emerging applications require high data rates, low latency, and must operate efficiently in environments where wireless devices are moving at high speeds. Noise and high device mobility have a considerable impact on received signal frequency, ultimately affecting system performance. So, accurate frequency estimation for received signals is therefore crucial, prompting extensive research. In this paper, we propose a three-step frequency estimation technique. The first stage, termed the coarse stage, employs a few sampling sizes to perform a fast Fourier transform. The second stage …

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Artificial Intelligence For Eeg Analysis: A Comprehensive Review Of Deep Learning Techniques, Hudai Ahmedi Albeiruti Oct 2025

Artificial Intelligence For Eeg Analysis: A Comprehensive Review Of Deep Learning Techniques, Hudai Ahmedi Albeiruti

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This review systematically outlines the progression and implementation of artificial intelligence (AI) techniques, with a focus on deep learning (DL), for the analysis of electroencephalogram (EEG) signals. We cover the whole EEG processing pipeline from signal acquisition and preprocessing to feature extraction and classification. The survey begins with traditional machine learning techniques such as Common Spatial Patterns (CSP) and Support Vector Machines (SVMs), then transitions to more recent DL architectures—including ConVolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and their hybrid configurations—that have significantly expanded the analytical capabilities of neurophysiological systems. These methods have been widely applied in fields ranging …

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African American Female College Students’ Experiences At Predominately White Institutions, Sh'nita Louise Mitchell Oct 2025

African American Female College Students’ Experiences At Predominately White Institutions, Sh'nita Louise Mitchell

Electronic Theses and Dissertations

African American women who attend predominantly White institutions (PWIs) have historically encountered systemic challenges that include racial isolation, microaggressions, a lack of cultural understanding, and insufficient institutional support. These barriers often impact their sense of belonging, academic persistence, and overall success. I aimed to explore the lived experiences of African American women who graduated from PWIs to understand how these women navigate institutional structures and sustain their academic journeys. I aimed to examine the unique challenges and supports experienced by African American women, and to identify factors that contribute to or hinder their persistence and success at their PWI. The …

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Understanding Digital Communication Gaps With Hispanic Families In A Charter School In South Texas, Ruby Cabrera Aguilar Oct 2025

Understanding Digital Communication Gaps With Hispanic Families In A Charter School In South Texas, Ruby Cabrera Aguilar

Electronic Theses and Dissertations

Now that access to technology is prevalent, digital communication in school districts and between schools and parents should be of high priority. Since schools do not emphasize digital communication policies and practices, a problem seen is a lack of communication across districts involving school staff, parents, and students. Determining school leaders’ roles in closing digital communication gaps through policies and procedures deserves further study because effective communication leads to awareness, involvement, relationship building, and student success. In this study, the knowledge gap theory and qualitative action research through reports and interviews assisted in understanding the perspectives of six school staff …

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"Are We Okay?": Exploring Departmental Leadership Behavior In Higher Education Organizational Crises, Melody Y. Zuniga Oct 2025

"Are We Okay?": Exploring Departmental Leadership Behavior In Higher Education Organizational Crises, Melody Y. Zuniga

Electronic Theses and Dissertations

This qualitative study explored how faculty in higher education institutions experienced their department leaders during organizational crises. With academic department leaders often appointed with little training for the role’s administrative challenges, they can be underprepared when a crisis befalls their institutions. A qualitative narrative design allowed 10 social work faculty from nine Christian institutions across the United States to share their stories of navigating internal and external crises. Data collection occurred primarily through semistructured interviews, with questions allowing for narrative elements of time, place, and sociality to emerge. Through reflexive thematic analysis, findings revealed four themes in faculty’s experiences with …

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Stress Management Strategies In An Investment Firm: A Managerial Perspective, Cheri C. Nelson Oct 2025

Stress Management Strategies In An Investment Firm: A Managerial Perspective, Cheri C. Nelson

Electronic Theses and Dissertations

This qualitative study examined how client relationship managers and market supervision managers in the investment industry experienced, interpreted, and managed workplace stress within the context of organizational culture, leadership practices, and available resources. Guided by the job-demands resources (JD-R) model, semistructured interviews were conducted with participants across multiple markets to investigate the interplay between high job demands, leadership behaviors, and employee well-being. Findings indicated that while trusted colleagues and positive leadership behaviors served as protective resources that reduced strain and fostered resilience, negative attitudes, favoritism, and lack of collaboration among colleagues amplified stress. Communication breakdowns, poorly managed organizational change, and …

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0894: G. W. “Jerry” Sutphin River Transportation Collection, 1832-2024, Marshall University Special Collections Oct 2025

0894: G. W. “Jerry” Sutphin River Transportation Collection, 1832-2024, Marshall University Special Collections

Guides to Manuscript Collections

Gerald W. “Jerry” Sutphin was a nationally recognized river historian from Huntington. He graduated from Mullens High School and Marshall University and became an army officer. Sutphin worked for and retired from the United States Army Corps of Engineers before spending twenty years operating his own business, Visual Information Ltd. The author of Sternwheelers on the Great Kanawha River, he also wrote a number of articles and contributed to numerous publications with words and/or photographs. Sutphin provided historical presentations on the Delta Queen and other large sternwheel excursion boats and served as a consultant for several documentaries and exhibits. Sutphin …

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