Digital Commons Network^™

Resilience Among Smallholder Irish Potato Farmers To The Impacts Of Climate Variability In Wanging’Ombe District, Tanzania, Timotheo Bilary Ngalaga, Digna Wolfram Mlengule, Jackson Raymond Sawe

Journal of Humanities and Social Sciences

This paper examines smallholder farmers’ adaptation strategies to climate variability, and their resilience in enhancing their capacity to adopt. The data was collected from 98 heads of households using both quantitative and qualitative approaches. The methods of data collection included household surveys, focus group discussions (FGDs), in-depth interviews, and document review. The quantitative data were analysed using the IBM SPSS (Version 23), while the qualitative data were analysed using thematic analysis. The findings indicate that 69.4% of respondents reported a decrease in rainfall, while 89.8% reported an increase and fluctuations in temperature over the past 29 years. Moreover, the findings …

Climate Change Vulnerability And Adaptation Pathways: Stakeholders’ Synergies In Building Climate Resilience In The Semi-Arid Area Of Central Tanzania, Helena Elias Myeya

Journal of Humanities and Social Sciences

This article examines the perceived effect of climate change on cereal crop production and the responses of various stakeholders aimed at enhancing the resilience of smallholder farmers in semi-arid areas of central Tanzania. A total of 366 household heads, 28 participants in focus group discussions (FGDs), and 8 key informants from Bahi and Kongwa districts in Dodoma, Tanzania, were involved in this study. Both quantitative and qualitative data were gathered through a structured interview schedule, FGDs, in-depth interviews, and documentary reviews. Descriptive statistics and content analysis were used to analyse quantitative and qualitative data, respectively. The findings indicate that smallholder …

Implementing Signage To Identify And Prevent Workplace Violence In The Hospital Setting, Katie Whitehead, Rosa Hernandez, Jamie Margain, Lisa Balesteri

Providence Nursing Research Conference 2023 – Present

No abstract provided.

Hypoxia Alert System, Sumukh Ashok Shevde, Abhijit Adsule, Kamran Mustafa

Defensive Publications Series

This document describes a waterproof wearable computing device (e.g., smart watch, smart ring, hearable device, or other body-mounted devices or sensors) that aids in aquatic safety by collecting environmental, biometric, and kinematic data from the user and preemptively alerting the user of a hypoxia induced event (e.g., drowning, unconsciousness, etc.). The wearable computing device uses a multi-sensor fusion approach integrating device components such as barometers, accelerometers, gyroscopes, and physiological sensors to obtain depth data, underwater duration data, kinematic movement data, biometric data, and environmental data, which may be combined with a historical user baseline to determine a lethargy score. The …

Kafka Proactive Gentuner: Intelligent Self-Optimizing Configuration Tuner With Confidence-Scoring, Kartik Goyal, Diwakar Choudary

Defensive Publications Series

[0001] A system and method for managing and optimizing a distributed Apache Kafka production cluster 104. The system 102 collects real-time operational metrics from a plurality of Kafka brokers. The system generates a workload fingerprint and retrieves similar historical fingerprints from a historical case repository. Further, the system identifies top-ranked historical fingerprints using similarity computation. The system generates configuration recommendations if the similarity exceeds a threshold and rejects recommendation generation if the similarity is less than the threshold. Further, the system generates a confidence score for the recommended configuration and compares against a deployment threshold. The system deploys the recommended …

Confined, Rei T. Franchina

Forces

No abstract provided.

Man Made Eden, Ava Dinh

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 …

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 …

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 …

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 …

The Appropriation Of Indigenous Land In HawaiʻI, Julie Loo

Walden Dissertations and Doctoral Studies

In the transition from a monarchical to a democratic governance system in Hawaiʻi, Indigenous perspectives have not been fully integrated into land-use decision-making, resulting in mistrust, cultural marginalization, and inequitable policy outcomes. While prior researchers have examined colonization in Hawaiʻi, there is limited understanding of how Hawaiian cultural protocols may impact modern state-level decisions regarding Indigenous land use. The purpose of this qualitative ethnographic case study was to explore perceptions and lived experiences related to the cultural protocol of Kapu Aloha among Kanaka Maoli who participated in the Mauna Kea blockade and government officials involved in permitting Indigenous land for …

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 …

Quality Of Prenatal Care, Provider Preference, And Preeclampsia Among African American Women In Georgia, Lyteasha Bass

Walden Dissertations and Doctoral Studies

African American women experience disproportionately high rates of preeclampsia in the United States; however, the contributions of prenatal care provider type, health care access, and quality of care to this disparity were insufficiently defined. Guided by the quality health outcomes model, this quantitative case-control study used primary data to examine associations between these factors and the occurrence of preeclampsia among African American women age 18–40 who had given birth within the previous 5 years in Georgia. Descriptive statistics and binary and multinomial logistic regression analyses were conducted. Prenatal care quality was measured using the Quality of Prenatal Care Questionnaire (QPCQ), …

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 …

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 …

Re: Approval Letter For The Butte Priority Soils Operable Unit - Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 96 – Washoe Dump Site Evaluation Summary Report, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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 …

Tender Light Through The Leaves, Gilbert Hu

Forces

No abstract provided.

The Grandchildren And The Memories, Viona A. Diorga

Forces

No abstract provided.

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 …

Gastrointestinal Symptoms After Sport-Related Concussion In Irish Athletes, Emma Finnegan, Ed Daly, Katherine Hunzinger, Lisa Ryan

Department of Exercise Science Faculty Papers

Background/Objectives: Sport-related concussion (SRC) elicits multi-systemic symptoms, including nausea, fatigue, and cognitive changes. Gastrointestinal (GI) symptoms are not well captured in current concussion assessments and may be under-recognised in clinical follow-up. GI disturbances may influence intake tolerance and day-to-day fuelling during post-SRC recovery. This study investigated the prevalence and severity of self-reported GI symptoms in Irish athletes after their most recent SRC, examined sex-based patterns, and evaluated the rationale for integrating GI symptom checks into standard concussion tools (e.g., SCAT6) and post-injury monitoring. Methods: An online survey was completed by recreational, competitive, and elite athletes who retrospectively self-reported concussion history, …

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 …

Breaking Into Hiv-1'S Epigenetic Vault: Cure Strategies To Eliminate The Viral Reservoir, Joanna Jones, Chelsea Gunderson, Brian Wigdahl, Michael Nonnemacher

Kimmel Cancer Center Faculty Papers

Human immunodeficiency virus type 1 (HIV-1) is a retrovirus that integrates into the host cell's DNA as a provirus. Transcription from the provirus is regulated in large part by cellular proteins and epigenetic factors. These may be repressive or permissive to productive infection. The host factors that regulate this balance are therefore attractive targets for HIV-1 therapeutics. Indeed, proviral chromatin is the focus of two of the current HIV-1 cure strategies. "Shock and Kill" uses latency reversal agents to open the provirus's chromatin, promoting high levels of gene expression that induce the killing of infected cells. "Block and Lock" uses …

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.