Digital Commons Network^™

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 …

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 …

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.

Multiliteracies In The 21st-Century Classroom: Lessons From The Global South, Juan Carlos Montoya

Purdue Writing Lab/Purdue OWL Graduate Student Presentations

This presentation explores what lessons faculty engagement with critical multiliteracies, digital media, and AI leave writing centers. It highlights opportunities for writing tutors education and professional development based on faculty experience and suggestions fostering multiliteracies among students.

“You Are My Tutor, Not My Peer”: Hierarchy In Cross-Cultural Consulting In Writing Centers, Yinan Ding

Purdue Writing Lab/Purdue OWL Graduate Student Presentations

Six cases of tutoring Chinese-speaking students and one case with English-speaking American student are presented to demonstrate students’ perceived hierarchy in tutoring sessions, as well as their different preferences and comfort levels with a hierarchical or peer-tutorial dynamic. Some students often addressed the tutor with the formal “you” in Mandarin Chinese, preferred to call tutors “teachers,” and expressed admiration for tutors' educational background, while English-speaking students occasionally signal hierarchical expectations, suggesting this phenomenon may transcend a single cultural group. To build writing centers as supportive, interconnected ecosystems of learning, it is important to conduct further research on students’ perceptions and …

Minding The Gap: Exploring The Hidden Curriculum Of Your Writing Center, Erin Del Busto

Purdue Writing Lab/Purdue OWL Graduate Student Presentations

In this interactive workshop, tutors and writing center directors will be invited to reimagine how they scaffold individual sessions. By engaging in hands-on activities, group discussions, and take-home materials, attendees will walk away from this workshop with greater clarity about how to utilize the “hidden curriculum” present in all sessions: how it shapes the tutor’s understanding of their role, the writer, and what it means for a session to be successful.

Rethinking Ubuntu Philosophy In Nigeria's Environmental Law: A Pathway To Sustainable Plastic Pollution Regulation, Ndubuisi Augustine Nwafor

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Sea Changes In Sue-And-Settle Policy: The Tides Of Transparency And Expediency, Evan B. Fitzgerald

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Boots On The Ground, Toxins In The Water: A Look Into The Present State Of Camp Lejeune Water Contamination, Kaitlyn N. Helt

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Checkmate Or Stalemate: The Epa, California, And The Future Of Waivers Under The Clean Air Act, William B. Gale

Villanova Environmental Law Journal (1991 - )

No abstract provided.

Inheriting The Mess: How Cercla Successor Liability Shapes The Landscape For Asset Purchase Deals, Liam N. Hudson

Villanova Environmental Law Journal (1991 - )

No abstract provided.

A Survey-Based Exploratory Study Of Factors Influencing Women's Intentions To Utilise Pre-Exposure Prophylaxis In The Eastern Cape Province, South Africa: Sociodemographic Characteristics, Hiv Risk Behaviours And Transactional Sex, Rosemary Kalenga, Gary Sharp, Anne M. Teitelman, Monde Makiwane, Larry D. Icard, John B. Jemmott

College of Nursing Faculty Papers & Presentations

BACKGROUND: South Africa has the third-highest adult prevalence rate globally, with women comprising 64% of cases. Despite the accessibility of pre-exposure prophylaxis (PrEP), its adoption among women, particularly young women, remains alarmingly low.

OBJECTIVES: The objective of this initial investigation is to explore factors influencing the intentions of South African women to use PrEP, focusing on sociodemographic factors, HIV sexual risk behaviours and involvement in transactional sex.

DESIGN: The research utilised an exploratory design employing surveys.

METHODS: Surveys were conducted in 2015 with 64 women aged 19-49 residing in the Eastern Cape Province of South Africa. The data were analysed …

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

A Joint Optimization-Based Novel Attack For Genomic Beacon Reconstruction, Kousar Saleem, Si̇nem Sav

Turkish Journal of Electrical Engineering and Computer Sciences

Genomic data sharing has become an essential component of biomedical research, enabling large-scale collaborations and accelerating discoveries in human genetics. To balance the need for accessibility with privacy concerns, several controlled-access mechanisms have been proposed, including genomic beacons. Genomic beacons answer simple presence/absence queries about specific genetic variants. However, prior work has demonstrated that beacons remain vulnerable to genome reconstruction attacks, where an adversary can recover large portions of participants’ genomes using summary statistics. Building on insights from prior reconstruction attacks, we introduce an approach that unifies SNP correlation and allele frequency alignment objectives within a single-stage joint optimization framework. …

Automated Software Size Measurement Using Multilingual Domain-Adapted Language Models, Samet Tenekeci̇, Hüseyi̇n Ünlü, Burak Keçeci̇, Muhammed Efe İnci̇r, Onur Demi̇rörs

Turkish Journal of Electrical Engineering and Computer Sciences

Software Size Measurement (SSM) is crucial for estimating required project effort as well as budget and schedule. However, many small and medium-sized companies struggle to apply objective SSM due to limited resources and lack of expertise. This often leads to inaccurate estimates and project overruns. There is a need for practical, low-resource solutions that support these tasks without requiring expert involvement. Motivated by this challenge, this study proposes an automated software size measurement approach that formulates the measurement task as supervised regression over natural language requirements, using domain-adapted transformer models. We construct large-scale Turkish and English software engineering corpora to …

Heterocyclic‐Fused Squaramides: Anionophores With Antimicrobial Activity, Luke Edward Brennan, Chris Samuel Hawes, Kevin Kavanagh, Robert Brian Peter Elmes

Research Outputs: 2025-Present

Antimicrobial resistance is regarded as one of the foremost public health risks of the 21st century, highlighting the need for new antimicrobial agents and chemical tools to interrogate their biological activity. Artificial transmembrane anion transporters have emerged as promising supramolecular scaffolds in this context, having demonstrated membrane activity in mammalian systems and showing growing potential in antimicrobial research. Here, we report a series of heterocycle‐fused squaramide anionophores capable of binding and transporting chloride. Several members of this series display measurable antimicrobial activity, alongside evidence of intracellular chloride modulation in bacterial cells. Taken together, these findings indicate that membrane localisation and …

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 …

Achieving High Terminal Performance: A Case Study Of Korean Steel Terminals Using Fsqca, Hae Chan Lee, Saeyeon Roh, Inhyeok Yeo, Jinwoong Yoo

Plymouth Business School

Steel-dedicated terminals play a critical role in the facilitation of the Korean steel industry. Due to the nature of steel production and handling, Korean steel-dedicated terminals are heavily utilized in the transportation of steel products both domestically and internationally. Despite the importance of steel terminals, there is limited research exploring factors that drive high terminal performance for bulk terminals, let alone steel terminals. Thus, this study examines factors that lead to high terminal performance for Korean steel terminals. A configurational approach was taken using fuzzy-set Qualitative Comparative Analysis (fsQCA) to yield different combinations of factors that drive high terminal performance. …

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.

Layer-Wise Printing Parameter Optimization For Laser Powder Bed Fusion, Chaoran Dou, Rongxuan Wang, Raghav Gnanasambandam, Jianzhi Li, Zhenyu James Kong

Manufacturing & Industrial Engineering Faculty Publications

Additive manufacturing (AM) is a transformative technology that enables the fabrication of complex geometries layer by layer. However, metal parts produced via AM processes such as laser powder bed fusion (LPBF) are prone to various defects, including porosity and deformation. These defects often result from suboptimal printing parameter settings. Traditional approaches typically aim to reduce defects by optimizing a fixed set of parameters for the entire part. However, such methods do not account for layer-wise variations in printing conditions caused by changes in geometry, heat transfer, and re-heating effects. While optimizing parameters for each layer could improve part quality, it …