Digital Commons Network^™

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 …

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), …

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.

Using 2d Lidar To Investigate Swash-Level Gravel Barrier Dynamics, Robert Jones, Nieves Valiente, Chris Blenkinsopp, Mark Davidson

School of Biological and Marine Sciences

No abstract provided.

On Ice, Susan Mardele

Forces

No abstract provided.

Set Dive Score, Camryn R. Fredrickson

Forces

No abstract provided.

A Quiet Thought In Yosemite, Emanuel Santos Bacordo

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 …

Doc 2026-10 Proposal To Create New Bachelor Of Science In Business Administration In Cybersecurity Management, University Of Dayton. Department Of Mis, Operations & Supply Chain Management, And Business Analytics

Senate Documents

Cybersecurity is a rapidly growing field with well-paying professional positions leading to senior levels within manufacturers, healthcare organizations, retailers, and service firms.  The proposed multidisciplinary program will leverage existing courses in Management Information Systems (MIS), Criminal Justice, Political Science, and Communications.

The faculty of the Management Information Systems, Operations & Supply Chain Management, and Business Analytics department propose to offer a new undergraduate major, Cybersecurity Management.  This desire is rooted in the demand for the major, a recognition that a few cross admit schools offer the major, and a desire to leverage the existing MIS curriculum for the benefit of …

Doc 2026-11 Aerospace Engineering Co-Major Proposal, University Of Dayton. School Of Engineering

Senate Documents

On the undergraduate side, the University of Dayton has historically offered bachelor's degrees in core, foundational engineering fields, such as chemical, civil, mechanical, and electrical engineering. Students can gain additional technical expertise through obtaining a minor or concentration in a number of specializations, but both the minors and concentrations offer limited coursework and are restricted to what students can fit into their major degree curriculum. Many students have expressed the desire for a more rigorous option, but do not have the time in their schedules for a dual major.

Therefore, when UD simultaneously reduced the number of credits for their …

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.

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.

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.

Characterization Of Hyperoxia-Induced Lung Injury In Adult Female Rats, Abraham G. Taye

Master's Theses (2009 -)

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening lung disease that results from direct or indirect insults to the lung, leading to air-blood barrier damage, pulmonary edema, hypoxemia, and multi-organ failure. Hyperoxia, or exposure to high fractions of oxygen, is used as a life-saving therapy to improve blood oxygenation in patients with ARDS. However, it can also worsen lung injury by inducing excessive production of reactive oxygen species (ROS), primarily from mitochondria, and by contributing to the progression of ARDS. Rat exposure to hyperoxia is a well-established animal model of clinical ARDS that replicates key clinical features. Clinical and preclinical …

New Hampshire Manufacturing Extension Partnership Joins Unh’S Olson Center, Kelsey A. Ahearn

UNH Today Archive

No abstract provided.

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 …

Pinocchio And The Tiny Pink Monkey (2026) | Program, Jacksonville State University

Department of Theatre & Film Performance Archive

Performed: 13-16 March 2026; "Pinocchio and the Tiny Pink Monkey" was written by Michael Boynton and the Members of the Flying Blink Theatre Ensemble. Artistic team were Carolyn Conover (director), Brayden Turner (stage manager), Addie Barnes and Ophelia Lazo (assistant stage managers), Eli Sims (assistant stage manager/tour manager), Corrine Todd (costume designer), Skye Strauss (puppet designer), Cheyenne Oliver (lighting designer), Ryan Godfrey (assistant lighting designer), Mike Long (fight choreographer). Production staff were Cheyenne Oliver (technical director), Ryan Godfrey (run crew), Akira Scott-Crough (light board operator), Liesl Cristy (spotlight operator), Ellie Boozer (costume shop manager), Molly Willingham (wardrobe head), Devin Knight …

Understanding Tradeoffs In Clinical Text Extraction: Prompting, Retrieval-Augmented Generation, And Supervised Learning On Electronic Health Records, Tanya Yadav, Aditya Tekale, Jeff Chong, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Clinical discharge summaries contain rich patient information but remain difficult to convert into structured representations for downstream analysis. Recent advances in large language models (LLMs) have introduced new approaches for clinical text extraction, yet their relative strengths compared with supervised methods remain unclear. This study presents a controlled evaluation of three dominant strategies for structured clinical information extraction from electronic health records: prompting-based extraction using LLMs, retrieval-augmented generation for terminology canonicalization, and supervised fine-tuning of domain-specific transformer models. Using discharge summaries from the MIMIC-IV dataset, we compare zero-shot, few-shot, and verification-based prompting across closed-source and open-source LLMs, evaluate retrieval-augmented canonicalization …

Ucc Minutes Mar 13, 2026, Undergraduate Curriculum Council

Undergraduate Currirculum Committee Minutes

No abstract provided.

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 …

Guiding Fast Ion Beam By Suppressing Secondary Ions, Yingli Xue, Junliang Liu, Mingwu Zhang, Daniel Fischer, Guoxing Xia, Nikolaus Stolterfoht, Reinhold Schuch, Yehong Wu, Bian Yang, Xiaoxiao Li, Caojie Shao, Wei Wang, Zhangyong Song, Xing Fang

Physics Faculty Research & Creative Works

We demonstrate that secondary ions sputtered from a macrocapillary's inner surface by the primary beam induce premature saturation of the guiding field, hindering fast ion guiding. By suppressing secondary ion sputtering with grooved surfaces, we achieve a guiding-field potential difference exceeding 1 kV, 2 orders of magnitude larger than previously achieved in stable ion guiding. This enables stable guiding of a 20-keV/q O5+ beam at offset angles up to 15°, with transmitted ions retaining their initial energy and charge state. A self-consistent field model accurately reproduces these results, revealing that guiding performance relies on managing secondary ions and the channel's …

Draft Final Remedial Design Work Plan Blacktail Creek Riparian Actions Butte Priority Soils Operable Unit Of The Silver Bow Creek/Butte Area Superfund Site Silver Bow County, Montana, Hydrogeologic, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Mismatched Music And Meams: Short-Form Social Media Videos And Social Attitude Messaging, Kaitlyn M. Serafin

USF Tampa Graduate Theses and Dissertations

“If the formative power in the media are the media themselves, that raises a host of large matters” (McLuhan, 1964, p. 10). Famed communications theorist Marshall McLuhan stated this all the way back in the 60s to explain how technology can act as a formative force in the messaging of media. This is because the medium in which they communicate the messaging can act as its own force, shaping the message like clay. The dominant media at the time of this theory was television; however, in the past decade social media and short-form social media videos have become dominant forms …