Digital Commons Network^™

Introduction, Sean Ferrier-Watson, George Neal

Forces

No abstract provided.

Symptomatic Manifestations Of Hip Dysplasia In Young Adults: How Do Patients Present Before Or After Surgery? Results From A Social Media Cohort, John M. Gaddis, Amanda J. Wheeler, Erika Shults, Charles South, Stephen T. Duncan, Joel Wells

School of Medicine Publications

This study aimed to analyse the symptomatic differences of hip dysplasia before or after separate surgical interventions, including pain location and characteristics, severity, patient-reported outcomes, and a body pain diagram. A REDCap-based survey was distributed through social media from October 2023 to May 2024 and targeted individuals with current or past hip pain. The survey gathered data on demographics, comprehensive hip-specific history, and various patient-reported outcome measures. Of 509 completed surveys, 287 respondents reported a diagnosis of hip dysplasia and were divided into cohorts based on treatment history: no surgery (n = 65), post-periacetabular osteotomy (PAO) (n = 162), post-THA …

Teacher Retention Across Contexts: Examining Teacher Workforce Stability And Its Impact On Student Outcomes In Traditional Public And Charter Schools In New Jersey, Telia Bennett

Seton Hall University Dissertations and Theses (ETDs)

Teacher retention remains a critical factor in understanding disparities in student outcomes across school systems. This study examines the relationship between four-year teacher retention and student outcomes in New Jersey, with particular attention to differences between traditional public schools and charter schools. The study includes approximately 4,003 district-level observations across 670 school systems and includes six years of data (2018–2019 through 2023–2024) from the New Jersey School Performance Reports,

Findings indicate that higher rates of four-year teacher retention are generally associated with improved ELA proficiency and lower rates of chronic absenteeism, although the strength and statistical significance of these relationships …

Building Services Engineering January/February 2026

Building Services Engineering

No abstract provided.

Larvicidal Activity Of Β-Asarone And Acorus Calamus Linn. (Sweet Flag) Extract Against Aedes Aegypti (Dipotera: Culicidae): Enzyme Inhibition, Midgut Histopathology, And In Silico Analysis, Rizal Subahar, Surya Dwira

Indonesian Journal of Medical Chemistry and Bioinformatics

Aedes aegypti (Diptera: Culicidae), the primary vector of dengue, poses a significant public health threat in tropical and subtropical regions. Botanical insecticides and phytochemicals such as β- asarone, derived from essential oils,offer a promising alternative to synthetic larvicides. The rhizome of Acorus calamus L. (sweet flag), traditionally known for its neuroprotective and antioxidant properties, contains β-asarone as its principal bioactive constituent.This study evaluated the larvicidal efficacy of β-asarone and A. calamus rhizome extract against Ae. aegypti larvae, focusing on detoxification enzyme inhibition, midgut histopathology, and in silico molecular interactions.Third- and fourth-instar larvae were exposed to β-asarone and crude extract at …

Enhancing The Capability Of A Hybrid Twdm/Pon Using Waveguide-Integrated Si/2d Material-Based Photodetector With The Most Suitable Metal-2d Material-Metal (M-2dm-M) Configuration, Neha Neha, Chakresh Kumar, Ghanendra Kumar

Polytechnic Journal

In the proposed work, a novel architecture of a 10-channel hybrid time-wavelength division multiplexing/passive optical network (TWDM/PON) system is investigated for different data rates: low data rate (2.5 Gbps) and high data rate (10 Gbps) using different two-dimensional (2D) material-based photodetectors with a metal-2D material-metal (M-2DM-M) device structure. Integration with Silicon (Si) semiconductor makes the detectors highly compatible with complementary-metal-oxide-semiconductor (CMOS) technology. The performance of the system is measured in terms of eye diagrams obtained using OptSim Software. Graphene, transition metal dichalcogenides (TMDCs), and black phosphorus (BP) are the three materials used to enhance performance metrics of high-speed optical networks. …

The Bison, March, 13, 2026

The Bison Newspapers

No abstract provided.

Enhanced Antenna Selection Techniques For Energy-Efficient Code Index Modulation Aided Spatial Modulated Wireless Communication Systems, Fati̇h Çögen, Burak Ahmet Özden, Erdoğan Aydin

Turkish Journal of Electrical Engineering and Computer Sciences

This study proposes an integrated multiple-input multiple-output (MIMO) transceiver framework, termed CIM-HQAM-SM, which combines code index modulation (CIM) and spatial modulation (SM) with energy-efficient hexagonal quadrature amplitude modulation (HQAM). In the proposed bit mapping, the information bits jointly select (i) the active transmit-antenna index, (ii) the Walsh–Hadamard spreading-code indices for the in-phase and quadrature branches, and (iii) an HQAM symbol. Hence, the payload is conveyed through the constellation symbol as well as through antenna and code indices. For the considered Rayleigh-fading scenarios and matched spectral-efficiency settings, the proposed framework offers BER improvements over conventional SM and quadrature SM (QSM), while …

The Sortee Guidelines For Data And Code Quality Control In Ecology And Evolutionary Biology, Joel L. Pick, Bethany J. Allen, Benedicte Bachelot, Kevin R. Bairos-Novak, Jack A. Brand, Barbara Class, Tad Dallas, Pietro B. D'Amelio, Erola Fenollosa, Esteban Fernández-Juricic, Dylan G. Gomes, Matthew J. Grainger, Thomas Guillemaud, John Christian, Ruby Krasnow, Malgorzata Lagisz, Sebastian Lequime, Daniel S. Maynard, Shinichi Nakagawa, Rose E. O'Dea, Et. Al.

Faculty Publications

Open data and code are crucial to increasing transparency and reproducibility, and in building trust in scientific research. However, despite an increasing number of journals in ecology and evolutionary biology mandating for data and code to be archived alongside published articles, the amount and quality of archived data and code, and subsequent reproducibility of results, has remained worryingly low. As a result, a handful of journals have recruited dedicated data editors, whose role is to help authors increase the overall quality of archived data and code. There is, however, a general lack of consensus around what a data editor should …

An Ensembled Two-Phase Deep Learning Approach For A Psychiatric Disorder Detection, Prajna Paramita Debata, Midhun Chakkaravarthy, Brojo Kishore Mishra

Turkish Journal of Electrical Engineering and Computer Sciences

Computational Psychiatry represents a burgeoning realm within scientific inquiry, delving into the intricate interplay of neurobiology within the brain. The escalating prevalence of mental illness underscores the urgency to confront this challenge. Among the prevalent disorders, Schizophrenia and Bipolar Disorder loom large, affecting a significant portion of the population at some point in their lives. However, pinpointing psychiatric disorders poses a formidable challenge. Genetic predispositions significantly influence the development of mental illnesses, with intriguing overlaps observed among certain disorders. This convergence complicates accurate diagnosis. Here, a deep learning approach is considered for significant gene biomarker identification and classification of Schizophrenia …

Sentisec: Combining Keyword Heuristics And Sentiment Modeling For Ai-Powered Threat Detection, Ridho Surya Kusuma, Erum Ashraf, Selvakumar Manickam, Shankar Karuppayah

Turkish Journal of Electrical Engineering and Computer Sciences

This work presents SENTISEC, a hybrid LLM-based threat detection framework designed to classify security logs by integrating keyword heuristics, domain-adapted sentiment scoring, and Retrieval-Augmented Generation (RAG). The system achieves an overall accuracy of 93.67%, with 91.46% macro recall, 89.07% macro F1, and 95.15% threat recall, while maintaining a low false-positive rate of 1.68%. Its methodology incorporates strict keyword and IOC matching, a domain-tuned DistilBERT sentiment module, hybrid BM25–MiniLM retrieval enhanced with BGE reranking, adaptive quantile-based threshold calibration, and SHAP-based explainability. Comparative evaluations against keyword-only, sentiment-only, classical machine-learning models, and DistilBERT-only baselines show that SENTISEC consistently improves both true-positive and true-negative …

Optimal Network Reconfiguration Based On Discrete Metaheuristic Techniques For Reduction Of Power Loss And Carbon Emission In Distribution Networks, Asad Ali, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Hussain Shareef, Hasmaini Mohamad, Munir Azam Muhammad

Turkish Journal of Electrical Engineering and Computer Sciences

Power distribution systems play a crucial role in transmitting electrical power from generation sources to end users. During transmission, significant power losses occur in the form of heat as the current flowing along the lines/cables has resistance. To minimize power losses, distribution network reconfiguration (DNR) has been widely adopted. This paper proposes optimal DNR based on metaheuristic techniques with discrete mutation feature targeting active power loss reduction, which subsequently lowers carbon emissions and operational costs. Through the discrete mutation feature, computational time to find optimal solution has been reduced significantly with fewer iterations compared to conventional mutation techniques. The proposed …

Enhancing Staff Education On Antidepressant Side Effects For Adolescents At Discharge, Mingdi Gao

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice (DNP) evidence-based staff education project aimed to improve the quality and consistency of discharge medication education for adolescents prescribed antidepressants. Adolescents are at increased risk for antidepressant-related adverse effects, including suicidal ideation, particularly during the early stages of treatment. The identified practice problem was the lack of consistent, developmentally appropriate, and culturally sensitive discharge teaching for adolescents and their families. This gap in practice contributes to poor adherence, preventable readmissions, and diminished safety outcomes. The project was guided by the PICO question: For adolescents discharged from inpatient or outpatient behavioral health care, how does a …

Staff Education On The Patient Health Questionnaire-9 (Phq-9) To Improve Depression Screening In A Mental Health Clinic, Agatha Onyemaechi Okemkpa

Walden Dissertations and Doctoral Studies

For this doctoral project, I implemented a staff education program on the Patient Health Questionnaire-9 (PHQ-9) to address depression screening practices in a mental health clinic. The practice problem addressed was limited depression screening due to a lack of education on the PHQ-9. The project aimed to answer the question: “For staff in a mental health clinic, will an educational offering on the Patient Health Questionnaire improve knowledge towards the goal of increasing screening for depression among clients?” To evaluate the outcome, a pre- and post-knowledge-based assessment using a 10-question multiple-choice test was administered to 20 staff members, and the …

Staff Education To Optimize Pain Management In Home Health Care, Marie Natacha Francis

Walden Dissertations and Doctoral Studies

This DNP project is a nurse-led quality improvement initiative that responds to the age-old issue of ineffective pain management in the home healthcare setting. The issue is the absence of standardization in staff education regarding pain assessment and intervention, leading to unfavorable patient outcomes and a reduced quality of life. The purpose of the project is to assess the efficacy of educational interventions delivered by nurses to enhance staff knowledge, confidence, and consistency in the management of pain procedures. The project question is: How effective are nurse-led educational interventions in improving staff knowledge and practices in pain assessment and management, …

Staff Education To Improve Nurses’ De-Escalation Skills In Substance Abuse Treatment Settings, Joy Atufunwa

Walden Dissertations and Doctoral Studies

Nearly 50% of patients in substance abuse treatment settings exhibit aggressive behaviors, placing staff and other patients at risk. In the absence of structured de-escalation training, clinicians frequently rely on physical restraints or pharmacologic interventions, which contribute to staff burnout, injury, and ethical concerns. The project implemented an evidence-based staff education program to improve nurses’ knowledge, confidence, and competence in managing aggression using nonviolent de-escalation strategies. The project question guiding this initiative was: Can education improve nurses’ de-escalation skills in a substance abuse treatment setting? Using an evidence-based practice (EBP) approach and the PICO framework, the project evaluated the impact …

Enhancing Staff Knowledge And Confidence In Depression Screening Using The Patient Health Questionnaire-9, Melkamzer Chari

Walden Dissertations and Doctoral Studies

Depression is a serious public health concern affecting over 280 million people globally and leading to significant morbidity and mortality if left undetected and untreated. At the local organization, leadership identified inconsistent depression screening as a practice problem among nursing staff. Thus, the purpose of this doctor in nursing practice (DNP) project was to determine if an educational intervention focused on depression, the importance of depression screening, and the use of the Patient Health Questionnaire-9 (PHQ-9) increased knowledge and confidence among nursing staff working in a local organization. Fifteen participants volunteered to participate in the project. The average age was …

Investigating Teachers’ Resistance To Instructional Coach Support In A Southern, Rural U.S. School District, Tukiiya Stephens

Walden Dissertations and Doctoral Studies

Instructional coaching is a strategy designed to support systematic changes in instructional practices and improve student achievement. In the study site district, teachers were required to use instructional coaching as a mandated form of pedagogical support for enhancing teaching practices and improving student achievement. However, prior to this study, 48% of teachers did not seek support from the instructional coaches (ICs) hired to provide this job-embedded professional development. Guided by Ajzen’s theory of planned behavior, the purpose of this basic qualitative study was to investigate teachers’ perspectives regarding the lack of engagement with ICs and to identify ways to increase …

Cost-Effectiveness Of Blood-Based Fibrosis Screening In High-Risk Metabolic Liver Diseases With Emerging Therapies, Wanyi Chen, Stephanie T. Chang, Ramsey C. Cheung, Donald B. Chalfin, Kinpritma Sangha, Szu-Yu Zoe Kao, Artem T. Boltyenkov

College of Population Health Faculty Papers

BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) remains a global public health threat. With emerging effective pharmacologic therapies, early identification of significant fibrosis in primary care is critical. We evaluated the cost-effectiveness of blood-based noninvasive tests incorporating real-world diagnostic performance in the contemporary MASLD treatment era.

METHODS: We developed a decision-analytic model for MASLD natural history and treatment to compare 6 noninvasive test strategies using Fibrosis-4 (FIB-4) and/or enhanced liver fibrosis (ELF) tests at varying cutoffs. Patients identified with significant fibrosis were referred for hepatology staging (biopsy and/or imaging-based), and eligible individuals were considered for Resmetirom ($47,400/y; mean …

Empirical Validation Of Einstein’S Coefficient For The Deflection Of Light Due To Gravitational Forces, Alexandra R. Mcdowell

Honors College Theses

Einstein’s formula to calculate the deflection angle of light through space as it interacts with gravity was introduced in his 1916 publication on general relativity. This was not a new idea, but his equation was, and it was correct. Just 3 years after this publication, it was empirically validated by Sir Arthur Eddington and Sir Frank Dyson. Since that experiment in 1919, at least seven others have been performed that also gave definitive answers in support of Einstein’s deflection constant of 1.751 arcseconds. The two most recent ones made groundbreaking contributions to this effort. The 2017 eclipse showed reproducible results …

Vigilante Justice: A Study On The Causes, Christina Tackett

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Caudill College of Arts, Humanities, and Social Sciences Morehead State University in partial fulfillment of the requirements for the Degree Master of Arts by Christina Tackett on March 13, 2026.

Destabilization Or Clarification: The Potential Impact Of Chiles V. Salazar On Nifla And Other First Amendment Jurisprudence, Zhihan Xu

Duke Journal of Constitutional Law & Public Policy Sidebar

In 2019, the Colorado General Assembly passed the Minor Conversion Therapy Law (MCTL), a statute which prohibits mental health professionals from engaging in conversion therapy for minors. Three years later, Kaley Chiles, a licensed professional counselor and addiction counselor, filed a pre-enforcement challenge and sought a preliminary injunction, alleging that the MCTL improperly abridges her First Amendment right to free speech. Colorado challenged her claim, arguing that the MCTL merely regulates professional conduct and only incidentally (and permissibly) burdens speech. Chiles v. Salazar will decide whether the MCTL is a speech restriction or professional regulation, and, if it is a …

Reflections On Judging At The Intersection Of Constitutional Claims And Public Policy, Kimberly J. Mueller

Duke Journal of Constitutional Law & Public Policy Sidebar

Trial courts play an essential role in our judicial system. At the trial level, lived realities meet legal theories, and generalist judges must resolve constitutional disputes, develop the factual record, and administer justice. However, institutions, especially courts, face increasing pressure. This Keynote Address draws on cases over which I have presided to illustrate how careful process in trial courts helps maintain public trust in our institutions. These experiences reveal three lessons that trial courts teach us. First, the people bringing claims matter; they are real individuals seeking relief by telling authentic stories. Second, pleadings matter because they frame and shape …

Sgsc-Kko-Lstm: A Deeplearning Classifier Model For Smart Grid, Dushmanta Kumar Das, Samaniba Imchen

Turkish Journal of Electrical Engineering and Computer Sciences

Maintaining smart grid stability is crucial for the reliable operation of decentralized electricity networks, especially as the energy sector becomes more complex. The process of ensuring grid stability begins with collecting consumer data and comparing it to power supply requirements. Ultimately, consumers receive a report showing their energy use and pricing details. However, this process is time-consuming and can be improved by leveraging artificial intelligence to predict smart grid stability more efficiently. Specifically, an optimized Long Short-Term Memory (LSTM) network is proposed to predict smart grid stability, addressing the challenges associated with traditional data collection and evaluation methods. Simulations from …

Reducing Complexity In Versatile Video Coding Intra-Coding Through Machine Learning-Based Optimization Of Partitioning And Prediction, Amina Kessentini, Amna Maraoui, Imen Werda, Fatma Ezahra Sayadi

Turkish Journal of Electrical Engineering and Computer Sciences

The escalating demand for high-resolution multimedia content has necessitated more efficient video compression solutions. The Versatile Video Coding (VVC) standard, despite achieving remarkable compression gains, introduces significant computational complexity, primarily due to its exhaustive Rate-Distortion Optimization (RDO) process. To address this, we propose an intelligent approach leveraging supervised machine learning techniques to streamline the VVC encoding process. Specifically, we introduce a Lightweight Neural Network (LNN) for efficient coding unit partitioning decisions and a Decision Tree (DT) classifier for optimizing the intra prediction process. This dual-method framework, tailored for All Intra coding configuration, significantly reduces encoder complexity while maintaining compression performance …

Designing Risk-Aware Mixed-Mode Evacuation Strategies For Tsunamis: Insights From İstanbul, Vedat Bayram, Doruk Ergez, Ada Arikanoğlu

Turkish Journal of Electrical Engineering and Computer Sciences

​Tsunamis pose severe and time-critical risks to densely populated coastal cities, where limited warning times and infrastructure constraints demand carefully coordinated evacuation strategies. This study develops an integrated, risk-aware optimization framework that jointly considers vertical and horizontal sheltering options together with mixed pedestrian-vehicular evacuation dynamics. The proposed mixed-integer second-order cone programming (MISOCP) model simultaneously determines vertical shelter location, evacuee assignment, road-use designation for pedestrians and vehicles, and route selection under congestion, capacity, and budget constraints. Vehicle travel times incorporate congestion effects through a convex flow-dependent function, while pedestrian routing ensures convergent and conflict free evacuation paths. A risk-minimization objective accounts …

The Mediterranean Diet As A Protective Factor Against Tobacco-Induced Lung Cancer: Insights From The Italian Population, Morgan V. Roundy

Undergraduate Honors Theses

Lung cancer is the second most commonly diagnosed cancer among men and the third among women in Italy, representing a major public health concern. This ecological, cross-sectional study examined and analyzed regional patterns of smoking prevalence, Mediterranean diet adherence, and age-adjusted lung cancer incidence across Italy, stratified by sex, using publicly available regional and macro-regional data and accounting for age structure and air quality. Smoking prevalence and lung cancer incidence were higher among males than females nationwide, although regional lung cancer patterns did not consistently mirror smoking prevalence, particularly among females. High adherence to the Mediterranean diet was low across …

Authors’ Response To Letter To The Editor From Aphale, P, Et Al., Resident Autonomy In Pathology: Bridging Gaps Between Training And Practice, Bronwyn H. Bryant, Balaram Puligandla, Hailey L. Gosnell, Kristen Johnson, Stephanie Barak, Mary P. Berg, Julie Karp, Amanda Lofgreen, Cindy B. Mccloskey, Barbara E. C. Knollmann-Ritschel, Kristie L. White, W. Stephen Black-Schaffer

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

No abstract provided.

Fort Hays State University Tiger Weekly, March 13, 2026, University Relations

Tiger Weekly Newsletters

No abstract provided.

Doc 2026-13 Proposal For Pre-Licensure Bachelor Of Science In Nursing (Bsn-Nurs), University Of Dayton. School Of Education And Health Sciences

Senate Documents

The University of Dayton  Nursing Program prepares students to practice as Baccalaureate generalist  nurses through a rigorous and transformative liberal arts and sciences curriculum  in concert with nursing courses that are in alignment with the American  Association of Colleges of Nursing (AACN) Essentials. Upon completion,  students earn a Bachelor's of Science in Nursing (BSN), are eligible to take the  NCLEX (RN licensure exam), and are prepared to transition to practice as a  licensed registered nurse.