Digital Commons Network^™

Effects Of Neurocognitive Multitask Activities On A Novel Lower Extremity Functional Performance Test, Sidney M. Stoddard, Logan Hill, Bryan L. Riemann, George J. Davies

Physical Therapy Faculty Publications

Objective: To examine the effects of incorporating (1) a neurocognitive reactive component and (2) a neurocognitive multitask component on performance degradation of a single-limb hop functional performance test.

Design: Randomized within-subject design of 32 healthy young adults.

Methods: Participants performed 3 randomly assigned variations of the single-limb T-Drill Hop Test (TDHT). The time to complete each test was recorded. The reactive TDHT (R-TDHT) consisted of the TDHT with a flashing light, indicating the "T" intersection hop direction. The neurocognitive reactive-recall TDHT (RR-TDHT) incorporated the R-TDHT and required participants to observe 5 flashing light colors. Participants then recalled the colors in …

Preferences For And Effectiveness Of Role-Play On The Acquisition Of Cognitive Behavioral Therapy Skills, Logan D. Zupko

All NMU Master's Theses

Effective training of clinicians is crucial for ensuring high-quality clinical practices. This study evaluated the effectiveness of and preference for two teaching strategies within a behavior skills training (BST) framework for training novice adults in Cognitive Behavioral Therapy (CBT) components. College students participated in multiple laboratory sessions across three study phases: Introduction, Choice, and Training. During the Introduction Phase, participants learned CBT Component 1 with either feedback only or feedback combined with brief role-play for incorrect skills. These two teaching strategies alternated across trials to ensure the participant was exposed to each equally. The Choice Phase allowed participants to select …

Light & Faith: November 2025, Taylor University

Light & Faith

No abstract provided.

Adaptive Vs. Traditional Learning: Long-Term Knowledge Retention -A Literature Review, Amal Altalhi, Chaitali Bonke, Khaled Alblowi

Information Systems Faculty Publications

Adaptive learning, a personalized educational approach, has appeared as a substitute paradigm to conventional teaching methodologies. Opposed to instruction-based learning, adaptive learning prepares learning content in a way that corresponds to individual learner needs, increasing engagement and knowledge retention. The present study has been conducted to review the literature to evaluate the influence of adaptive learning systems on long-term knowledge retention as compared to their traditional counterparts. Real-time feedback, spaced repetition, and scaffolded content can reduce cognitive load and enhance the learning experience, as they are considered highly effective tools. Several studies have shown that retention improves through the use …

Advancing Security Safeguards In Large Language Models Through Multi-Agent Systems, Mohammed Rashed Alnuaimi

Theses

This thesis focused on enhancing the safe use of Large Language Model (LLM) through the innovative use of a Multi-Agent System (MAS). As LLMs like ChatGPT became essential to our everyday interactions, the need to maintain the safe use of these systems increased. This research thoroughly assessed the current security measures in place for LLM, pointed out their limitations and developed new and more effective security strategies. The core of the proposed solution was a MAS designed to ensure that all data processed by LLM met guidelines including Privacy, Confidentiality, and Ethical standards before reaching the user. The system involved …

Startup Success Forecasting Through Machine Learning: A Comprehensive Analysis Of It Startups, Khaled Abdulla Alhassani

Theses

Lately, startups attracted significant attention from investors throughout the previous years. This raised several questions concerning startups and what they possibly define as them. It could refer to collective individuals who focus on innovative ideas with a reproducible and scalable business model; others refer to it as a newly established business. Nevertheless, all these definitions lead to a predictive question. Will these startups face success?

This study explores startup success prediction methods, focusing on forecasting information technology startup (SIT) insights using Machine Learning (ML) models such as Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), K-Nearest Neighbor (k-NN), …

The Ai-Powered Learning Loop In Higher Education, Oualid Abidi, Vladimir Dzenopoljac, Aleksandra Dzenopoljac

All Works

Purpose – This study examines how generative AI tools affect business students’ academic performance by investigating whether flexible AI policies promote deeper learning, enhance self-efficacy and facilitate tacit knowledge acquisition in a Middle Eastern context, while ensuring efficiency and academic integrity. Design/methodology/approach – A qualitative, exploratory study observed 20 final-year business students in Kuwait during five in-class activities using generative AI tools. Semi-structured interviews complemented the researcher’s observations. Thematic analysis revealed patterns in benefits, challenges and learning processes, leading to the development of the AI-powered learning loop framework to explain academic performance outcomes. Findings – The study indicates that generative …

Exploring Nursing Students’ Experiences Of Factors Influencing Reflective Practice In Clinical Setting, Wafaa El Zaatari, Imad Maalouf

All Works

Purpose – Reflective practice is crucial in clinical nursing education at a nursing college in Al Ain. This study aims to explore nursing students’ perspectives on reflective practice in a clinical setting. Design/methodology/approach – The study employed an exploratory case study design, using semi-structured interviews to collect data from eight nursing students studying at a nursing college in the UAE. The recorded interviews were transcribed verbatim and manually analysed using thematic analysis. Findings – Three main themes have been extracted, and these are the significance of reflection, facilitating factors and hindering factors. Four sub-themes emerged from the facilitating factors: moral …

State Of Menstrual Health Education In 2024: Content Analysis Of Us K-12 Public School Education Standards, Emily Richardson, Sarah Bemis, Page Dobbs, Hope Ballentine, Shristi Bhochhibhoya, Victor Kwaku Akakpo, Kylie Lovett

The Eleanor Mann School of Nursing Faculty Publications and Presentations

Background: Exploratory study aiming to assess the prevalence and time of initiation of menstrual health curriculum in US public school education standards by state. Methods: US public school Kindergarten-12th grade education standards from each state's Department of Education website, including D.C. (n = 51), were searched for menstruation, menstrual, menses, menopause, period, menarche, reproduction, puberty, and growth and development. Results25.5% (n = 13) of US education standards include menstruation. Of these, constructs of comprehensive menstrual health were recorded including abnormal menstruation (n = 6), menstrual hygiene (n = 6), menopause (n = 1), and stigma (n = 7). Education is …

Singapore Awakened: How Success – And Flourishing – Shape Family, Seow Hon Tan

Research Collection Yong Pung How School Of Law

Assoc. Prof. (Dr.) Tan Seow Hon delivered the keynote address at Cultivate SG’s second annual conference, “Unfiltered – The Family on Trial”, on 17 November 2025. In her speech titled “Singapore Awakened: How Success – and the Alternative of Flourishing – Shape Family”, Dr Tan reflects on the “Singapore Dream”, the narrow mindset of success in contrast with the concept of flourishing, and how these impact marriage and family. She concludes by offering some thoughts on how to move from success to flourishing.

Comorbidities And Emotions - Unpacking The Sentiments Of Pediatric Patients With Multiple Long-Term Conditions Through Social Media Feedback: A Large Language Model-Driven Study, Temidayo Oluwalade, Hossein Ahmadi, Lin Huo, Richard Sharpe, Shang-Ming Zhou

School of Nursing and Midwifery

ObjectivesThe emotional and psychological challenges faced by children with multiple long-term conditions (MLTCs) remain underexplored. This study aimed to analyze sentiments and emotions expressed by this vulnerable population and their caregivers on social media, assess the effects of comorbidities and the COVID-19 pandemic on emotional well-being.MethodsNarratives from the Care Opinion platform (2008–2023) were analyzed by a model called CoEmoBERT, developed using the large language model, distilroberta-base transformer model. The CoEmoBERT-based sentiment analysis categorized emotions into “Positive”, “Negative”, and “Neutral,” with further refinements into specific emotions such as “Sad,” “Fear”, “Satisfied” etc. through pretraining and transferring process. Comorbidity associations with emotions …

Draft 2026 Interim Site-Wide Groundwater Monitoring Quality Assurance Project Plan, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Advances In Genetic And Molecular Insights Into Thyroid Disorders: Implications For Diagnosis, Prognosis, And Personalized Treatment, Faez F. Alshehri

Saudi Medical Journal

ABSTRACT Thyroid disorders encompass a variety of autoimmune conditions such as Graves’ disease, Hashimoto’s thyroiditis, as well as several types of thyroid cancer. Recent advancements in next-generation sequencing methodologies have elucidated significant genetic mutations, which include RET , BRAF , TPO , and more, which are associated with thyroid cancers and autoimmune disorders. BRAF V600E mutation as an indicator of prognosis in papillary thyroid carcinoma or the identification of genetic markers clarifies treatment strategies. Similarly, polymorphisms in immune regulatory genes such as CTLA-4 , particularly when combined with HLA-DR , are linked to higher risk to autoimmune thyroid diseases. Molecular …

The Nuances Of Prosecutorial Nonenforcement, Meighan R. Parsh, Carissa Byrne Hessick

William & Mary Law Review

The academic literature on prosecutors is divided: Some commentors believe that prosecutors should more aggressively use their ability to decline to bring charges, decreasing the overall number of criminal cases and helping to address the problem of mass incarceration. Others believe that broad prosecutorial nonenforcement poses significant risks to our constitutional order and public safety. While the visibility of this debate has increased—spilling over from the pages of law reviews into political campaigns and headlines—the terms of this debate are at times unclear. Prosecutorial nonenforcement is a multifaceted phenomenon, and discussions about its costs and benefits can obscure necessary tradeoffs …

"A Beacon Of Service In A Troubled World": Restoring The United Nations' Human Rights Reputation By Standardizing Extradition Practices For Accused Human Traffickers, Brook Whitley

Vanderbilt Journal of Transnational Law

No abstract provided.

Western Australia’S Primary Industries: 2021-22 Economic Overview, D. Maharjan, S. Akbari, A K. Abadi Ghadim, P. Mattingley, I. Wilkinson, J. Tan, J. Van Staden, M. Radhakrishnan

All other publications

The Western Australia’s Primary Industries: 2021-22 Economic Overview (WAPIEO) is developed by DPIRD in partnership with the Forest Products Commission.

The WAPIEO has a trade focus and provides a single source for consistent statistics and insights on observed industry trends.

The WAPIEO is based primarily on 2021-22 economic indicators from the Department of Treasury, DPIRD data, and statistics from the Australian Bureau of Statistics (ABS), in line with the release cycle dates of final ABS data.

A House Divided: A Mixed Method Investigation Of Primary Care Interprofessional Teams Using The Core Principles And Values Of Teamwork Framework, Erin L. Kelly, Catherine Guariglia, Jeanne Felter, Dhruvi Shah, Brooke Mauriello, Amy Cunningham, Chris Arenson, Randa Sifri

Department of Family & Community Medicine Faculty Papers

Context

Primary care teams are facing increased demands, turnover, and escalating rates of burnout. A primary care team aligned in its core values and organized according to common teamwork principles is essential for delivering patient-centered, coordinated, and effective healthcare.

Methods

As part of a series of studies on workplace factors and burnout among primary care practice team members, we selected an urban practice with high rates of burnout to assess their teamwork via a practice-wide survey and six focus groups divided by role. The interview guide focused on identifying areas for potential intervention around teamwork. Transcripts were open-coded using a …

Too Loud To Ignore: Knowledge, Attitudes, And Practices Regarding Hearing Protection In Student Musicians And Ensemble Directors, Lucile Donald, Ashley G. Flagge

Ashley Flagge Publications

Musicians are at an elevated risk for noise-induced hearing loss (NIHL) due to repeated exposure to sound levels exceeding occupational safety guidelines. Although many strides have been made in educating music students on the potential dangers of noise exposure and the mitigating effects of hearing protection devices, the current attitudes on this topic among high school and college-level student musicians remain largely unknown. An electronic survey was administered to high school (n = 195) and university (n = 161)-level band students and ensemble directors (n = 15) regarding knowledge of noise/music-induced hearing loss (MIHL), personal practices with HPDs, and types …

New Measures For Richer Theories: Some Thoughts And An Example, Orazio Attanasio, Victor Sancibrian, Federica Ambrosio

Cowles Foundation Discussion Papers

For a long time, the majority of economists doing empirical work relied on choice data, while data based on answers to hypothetical questions, stated preferences or measures of subjective beliefs were met with some skepticism. Although this has changed recently, much work needs to be done. In this paper, we emphasize the identifying content of new economic measures. In the first part of the paper, we discuss where the literature on measures in economics stands at the moment. We first consider how the design and use of new measures can help identify causal links and structural parameters under weaker assumptions …

Language, Law, And Wealth Destruction In Puerto Rico, Scott M. Brown, Daniel J. Hall

Vanderbilt Journal of Transnational Law

No abstract provided.

Pediatric Morgagni Hernia: A 10 Year Single Center Experience, Yasser Alfraih, Mohammad Aldaffaa, Tariq Alsuhaibany, Abdullah Alshehri, Tariq Altokhais

Saudi Medical Journal

ABSTRACT Objectives: To present our institutional experience with pediatric morgagni hernia (MH) emphasizing the presentation, diagnostic workup, surgical techniques, and follow-up. Methods: A retrospective chart review of patients diagnosed with MH who underwent surgical repair from May 2014 to May 2024. Data points collected included demographic, clinical, and follow up information. We analyzed the data using basic thematic analysis. For categorical variables, we employed counts and percentages. Statistical analysis performed using the Mann-Whitney U test. Results: Nine patients underwent MH repair. Respiratory symptoms were the most common, affecting 66% of patients. All patients received chest radiography, while 5 required computed …

Empowering Saudi Pharmacy Students: A Nudge-Based Intervention For Improved Health Behaviors, Fahad M. Alzahrani, Bsmah S. Bojan, Haifa A. Fadil

Saudi Medical Journal

Objectives: To promote healthy habits among pharmacy students through curriculum-embedded challenges. Student well-being is a growing concern in Saudi pharmacy education, with high rates of stress and poor health behaviors reported among students. Traditional interventions often fall short in bridging the gap between awareness and action. Methods: A quasi-experimental design was conducted from September to December 2024 at Taibah University. Four month-long challenges targeting smartphone use, physical activity, sleep, and gratitude were integrated into a required hospital pharmacy course. The intervention was grounded in behavioral economics principles (salience and inertia) and delivered via Blackboard LMS with minimal extrinsic incentives. A …

Research On Building Sustainable Competitive Advantage Of Mutual Fund Management Companies In The Era Of Pan-Asset Management, Li Ren

Dissertations and Theses Collection (Open Access)

In the context of China’s “big asset management” era, public mutual fund management companies face intensifying competition and an urgent need to build sustainable core competitiveness. Existing research has not clearly identified their key resources or explained how these resources interact with strategic management capabilities to generate competitive advantage. Drawing on the resource-based view and strategic management theory, this study develops a conceptual framework of core competitiveness for public mutual fund management companies. It proposes a three-dimensional resource classification system—valuable, rare, and inimitable resources—tailored to the mutual fund industry and incorporates strategic management capability as a mediating mechanism through which …

Symbolic Execution Engine For Dynamic Analysis Of System Software, Pansilu Madhura Bhashana Pitigala Arachchillage

Dissertations and Theses Collection (Open Access)

System software, like any regular software, is prone to errors. It plays a specific role in a computer system by managing the underlying hardware and providing a platform to execute the application software. Defective or vulnerable system software can be exploited by attackers to compromise the entire system. Therefore, the system software must be studied and thoroughly analyzed to evaluate its security. However, due to the inherent complexity and its close interactions with the hardware, analyzing system software is a challenging task. As a result, there is a lack of tools and techniques capable of effectively analyzing system software.

This …

Teaching And Learning Programming, Sarah Diesburg, Ben Schafer

Faculty Publications

For traditional subjects like maths or science, most K–12 teachers have years of exposure, both as students and through formal training within their teacher preparation programme. Computer science is a relatively new addition to the curriculum, and here in Iowa in the United States, many K–12 teachers are stepping into the role of computer science instructors with little to no prior experience in the subject. This creates a unique and often daunting situation: teachers are learning the content themselves while simultaneously teaching or preparing to teach it.

Working with teachers placed in this situation has given us a unique opportunity …

When It Comes To Scientific Information Extraction And Llms, Less Is More, Sameer Shaik

Theses and Dissertations from DePaul University

The scientific literature continues to expand rapidly, making manual extraction of structured scientific facts increasingly impractical. Traditional Machine Learning and Natural Language Processing (NLP) pipelines require large expert-annotated datasets, which are costly to produce. Novel Large Language Models (LLMs) face challenges in long-context scientific reasoning, hallucinations, and entity linking. This thesis investigates ELSIE-Blob, a domain-aware preprocessing method that segments scientific articles into compact text “blobs” containing components of entity relations (here, polymer names, melting point indicators, and numerical values). We test whether blob-based input allows lightweight, consumer-hardware-accessible LLMs to extract polymer–melting point (polymer–Tm) pairs accurately without training data. Experiments using …

Expanding Functionalities Of Immune Receptors Through Simultaneous Transfer Of Sensor And Helper Nlrs, Dongjiao Wang, Qibin Wu, Daowen Wang, Youxiong Que, Zheng Qing Fu

Faculty Publications

No abstract provided.

Enhancement Of Antimicrobial Activity Of Truncated Cecropin B Peptides With The Substitution Of Tryptophan Residues, Sarah Smith, Christopher Feudale, Josephina R. Vermillion, Joseph Feudale, Joshua Do, Sabrina Arroyo, Juan Barrera, Madeleine Whitsitt, Marion Duval, Colby Grames, Bret Hatzinger, Makenzie Hilling, Tia Kean, Jasayle Rivera, Mia Shum, Hannah Zyra, David Rovnyak, Moria C. Chambers

Faculty Journal Articles

Cecropins are a class of antimicrobial peptides (AMPs) expressed by insects that have broad-spectrum antimicrobial activity and low cytotoxicity. However, cecropins are also long (40–45 amino acids) peptides, making their adaptation for therapeutic use challenging. Here, we present a series of 16 amino acid-long peptides derived from cecropin B from Drosophila melanogaster. The native truncated peptide is cationic and expected to form an amphipathic α-helix, but does not have antimicrobial activity. The incorporation of two Trp residues, depending on the position in the peptide backbone, results in antibacterial activity compa-rable to that of full-length cecropin B against the gram-negative bacteria …

The Relationship Between Forecast Information Quality And Perfect Order Index In Supply Chains: The Role Of Preventive And Corrective Inventory Actions, Hanin Haifa, Prashanth Nagendra Bharadwaj, Ramesh G. Soni

American Business Review

This study examines the impact of forecast information quality on supply chain performance in the context of the Palestinian territories. A sample of 200 firms were involved in this research that used path analysis and structural equation modeling to analyze the survey data. The constructs of preventive costs and corrective costs pertaining to inventory management were tested as the mediating variable between forecast information quality and perfect order index, a surrogate measure for supply chain performance. The results support the hypotheses that both the forecast information quality and the corrective and preventive inventory actions have a positive significant impact on …

Repetitive Sampling Control Chart For Gamma Distribution In Uncertain Environments, Zainalabideen Al-Husseini, Khudhayr A. Rashedi, Muhammad Aslam

Neutrosophic Sets and Systems

This paper introduces an innovative control chart customized for the gamma distribution, specifically crafted to handle uncertain conditions through repetitive sampling. The control chart's coefficients, along with the probabilities of remaining in control or detecting a shift, and the average run lengths, were derived by assuming the symmetrical behavior typical of the normal distribution, using the neutrosophic interval method. The performance of this chart was evaluated by assessing average run lengths under various uncertain process conditions. The chart's efficacy in identifying both minor and major process shifts was investigated. This study also provides a comparison between the newly proposed chart …