Digital Commons Network^™

The Relationship Between Ellen White, Authority And The Authority Of The Bible In Adventism, George Knight

Ellen White and Current Issues Symposium

No abstract provided.

Ellen White And The ‘Daily’ Conflict, Denis Kaiser

Ellen White and Current Issues Symposium

No abstract provided.

The Consequences Of Fear: How Media Literacy Teachers Adapt To Teaching In An Autocratic Regime, Sait Tuzel

Journal of Media Literacy Education Pre-Prints

While media literacy education experienced significant growth in Turkey during the early part of the decade, since the attempted coup on July 15, 2016, Turkish educators have struggled with uncertainty and social mistrust generated by the disappearance of independent journalism and the arrests of many thousands of educators, judges, and researchers. This longitudinal study of media literacy teachers in Turkey examines the professional challenges that media literacy teachers experienced between 2015 and 2020 as they adapted to increased fear and the risks associated with teaching about media. Unable to use media materials beyond the state-sanctioned textbook, teachers now evaluate the …

The French Reformation And John Calvin In Ellen White’S Book Great Controversy, Denis Fortin

Ellen White and Current Issues Symposium

No abstract provided.

Purification Of Water By Plant Extracts And Green Biosynthesized Agnp Of Syzygium Aromaticum, Seham Abdel-Shafi, Mostafa I. Abdelglil, Saida Amer, Sobhy El Sawy Elsilk, Khaled Ali, Mohamed F Ghaly

Al-Farahidi Biomedical Journal

The drinking water quality must meet both the WHO guidelines and Egyptian standards. This ensures public health and the suitability of water for different uses. The purification of water by biosynthesized silver nanoparticles (AgNPs) Syzygium aromaticum (Clove) is an eco-friendly approach where the clove extract acts as a reducing and stabilizing agent to create AgNPs through a “green synthesis” method. The AgNPs, when combined with the extract, show antimicrobial activities and kill the pathogenic bacteria in water. The water pollution include Staphylococcus, Pseudomonas, Salmonella, Acinetobacter, Flavobacterium, Clostridium, Vibrio and E. coli. In vitro experiments showed inhibition of Staphylococcus spp. …

Improving Road Safety Through Multimodal Deep Learning For Driver Drowsiness Detection, Hadel A. Hussain, Mohammed A. Subhi, Ahmed S. Al Tmeme, Ahmed D. Radhi, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

One of the most common causes of road accidents globally is driver drowsiness and it needs solutions that are reliable and can be applicable in numerous real-life situations. We present this paper with the aim of developing a deep-learning system that is capable of reliably detecting drowsiness in diverse and varied conditions across different drivers, environments, and sensor types. Our system is known as Multimodal Attention Network (MMAN), which combines information of eye and head movement, heart-rate and breathing pattern, and vehicle-dynamics signal. MMAN has a gradient-reversal layer that enables the layer to be domain-adaptive such that it does not …

Deep Learning-Based Fog-Cloud Approach Intrusion Detection System In Iomt, Yahya Rbah, Mohammed Mahfoudi, Mohammed Fattah, Younes Balboul, Said Mazer, Moulhime Elbekkali

Iraqi Journal for Computer Science and Mathematics

The Internet of Medical Things (IoMT) creates an interconnected environment linking humans, devices, sensors, and systems, enhancing healthcare services through advanced technologies. Nonetheless, these IoMT devices are susceptible to cyberattacks, which can endanger patient safety and healthcare services. To identify and mitigate cyberattacks in IoMT, techniques such as threat intelligence, log monitoring, and intrusion detection systems are employed. As attackers evolve their strategies, there is a growing trend towards leveraging artificial intelligence to achieve more predictive and accurate attack detection. Since IoMT devices are inherently low-power, they require minimal computing resources. Existing intrusion detection systems are generally trained in the …

Multitaskvenationnet: A Multi-Task Deep Neural Network With Strip Pooling And Hybrid Upsampling For Leaf Vein Segmentation, Ishak Ariawan, Ahmad Ashari, Moh. Edi Wibowo

Iraqi Journal for Computer Science and Mathematics

Leaf vein segmentation is a critical task in plant phenotyping and species classification, yet it remains challenging due to the hierarchical, curvilinear nature of veins and interference from complex backgrounds. Existing methods face three key limitations. First, they lack directional context modeling, leading to blurred vein boundaries and the omission of fine venation. Second, they fail to effectively capture global dependencies, limiting semantic coherence across spatial regions. Third, they do not incorporate explicit mechanisms for detecting vein discontinuities, which is essential for complete topological understanding. To address these challenges, we propose MultiTaskVenationNet (MTV-Net), a multi-task deep segmentation framework that integrates …

Optical Dynamic Hybrid Disaggregation System Using Micro-Led, N/A

Defensive Publications Series

The present disclosure is directed to a flexible and resilient architecture for computer systems, focusing on optical hybrid disaggregation to manage heterogeneous computing resources. An approach utilizes overprovisioned optical connectivity, specifically leveraging high-density micro-LED technology, to establish a high-bandwidth, peer-to-peer communication fabric between modular units. By integrating silicon switching intelligence directly into the modular units, the approach can bypass the latency and contention issues associated with centralized fabrics. A dynamic software control plane may be utilized to manage a distributed network, enabling rapid reconfiguration to optimize the compute-to-memory ratio for specific workloads, thereby enhancing fungibility, improving power efficiency, and reducing …

Autonomous Causal Inference Using Artificial Intelligence Agents, Teginder Singh, Ramakrishnan Neelakandan, Bakul Patel, Justin Chen, Kiran Dattani, Sean Hamill, Jacob Van Bochove

Defensive Publications Series

Post-market drug-safety procedures, known as pharmacovigilance, require a team of skilled physicians or epidemiologists to manually investigate each adverse event. This disclosure describes artificial intelligence (AI) agent-based, cloud computing techniques that automate the end-to-end cognitive workflow of investigating potential adverse drug events (ADEs). Moving beyond current techniques, which only perform statistical signal detection, the described techniques enable the determination of biological causality. Upon receiving a statistical signal of an adverse event, plausible biological hypotheses that can explain the signal are autonomously generated. A set of specialized software agents are dispatched to forage for evidence across disparate data sources (real-world evidence …

A Content-Centric Discussion Platform, Nikolas Ojala

Defensive Publications Series

Traditional linear, time-ordered discussion threads cause three deeply interconnected structural problems in online forums:

1. sedimentation of valuable content (both inside threads and across the forum),
2. thread hijacking / topic drift, and
3. structural harassment through off-topic flooding.

These problems are not primarily caused by malicious users but are inevitable by-products of forcing all discussion into a single chronological pipe.

This article fully discloses a complete architectural solution: a content- centric, modular discussion platform (the “content-pool model”) in which every contribution is an independent, semantically linked unit equipped with structured metadata fields. By completely removing the linear thread and replacing it with …

Effect Of Ovarian Characteristics And Propylene Glycol Supplementation On Pregnancy Rates Per Ai In Suckled Beef Cows Subjected To A 7-Day Co-Synch Fixed-Time Ai Protocol Across Seasons, Body Condition Scores, And Postpartum Intervals, Pachara Pearodwong, Sarawanee Khunmanee, Kajohn Nitiwararuk, Thuwanon Boonkerd, Thananon Junsuri, Andrew A. Ponter, Winai Kaewlamun

The Thai Journal of Veterinary Medicine

The present study evaluated the independent effects of ovarian characteristics and oral propylene glycol (PG) supplementation on pregnancy rates in suckled beef cows subjected to the 7-day CO-Synch + CIDR fixed-time AI (FTAI) protocol across different seasons, body condition scores (BCS; 5-point scale), and parturition-to-FTAI intervals. Cows received a CIDR insert and 10 μg GnRH on day -10, followed by 25 mg PGF2α at CIDR removal on day -3, and another 10 μg GnRH 72 h later (day 0). In Study 1, the ovarian characteristics of 36 cows were assessed transrectally on days -10 and 0 relative to the FTAI. …

Documenting Hiv/Aids Through Rural Voices: Oral Histories As Sites Of Mutual Aid, Siena Kuehn

Feminist & Queer Praxis

This essay is part of the WGSS Capstone class and focuses on utilizing oral histories of HIV/AIDS in Winona as a method of mutual aid. This work includes two contributions to the HIV/AIDS Winona Oral History Project, the interviews with Joan Schwinghammer and Dr. Anne Vande Berg. This research was done in conjunction with Dr. Mary Jo Klinker.

In Their Words: Building A Wgss Community, Temki Newell

Feminist & Queer Praxis

In this series, WGSS students share how the program shapes their activism, academics, and sense of self. Through storytelling, community, and critical reflection, they’re challenging systems, building coalitions, and imagining new futures, one class, one project, one voice at a time.

Bridging The Ai Gap: A Librarian's Journey Through Scite Summer Bootcamp, Maletta Payne

Southern University and A&M College: John B. Cade Library Publications

Maletta Payne, librarian, shares insights from the Scite Summer Bootcamp, a four-session virtual program for researchers, librarians, faculty, and information professionals. The bootcamp emphasized practical, hands-on experience with research-grade tools, moving beyond theoretical discussions of AI.

Exploring The Graduate Research Assistant Experience: Perspectives Of Nursing Phd Students, Caden Mcintire, Mitzi Pestaner, Linda Bolin

Biennial Convention (CONV)

This research project studied nursing PhD students at East Carolina University’s College of Nursing. These students have the opportunity to serve as graduate research assistants (GRAs) throughout their enrollment in the program. GRAs work with faculty on various research projects, including transcription services, recruitment, and data analysis. Given that less than 1% of nurses hold a PhD in nursing and that many who enroll do not graduate, evaluating the perspectives of current and former GRAs can provide valuable insights into our research question: How does serving as a GRA impact PhD nursing students’ academic progress and career trajectories? Answering this …

Meaningful Work, Lincoln N. Bay

Undergraduate Honors Theses

I study the relationship that preferences for meaningful work—work that provides utility through more than just income—have with wages and time spent working in a variety of scenarios by developing, calibrating, and validating a Roy-inspired structural model of occupational choice where heterogeneous households choose to provide standard and "meaningful" work, where each type of labor has a distinct wage. Within the framework of the model, I find that meaningful work is associated with lower wages and higher hours; that in response to exogenous transfers, households will work less overall but spend more time on meaningful work; that policies that mandate …

Ai & Chemistry, Evelina Jaleniauskiene

Teaching Repository of AI-Infused Learning

"AI & Chemistry" is a four-week language-learning project based on the action-oriented approach. The project asks students to complete two main tasks: prepare an individual Ignite talk and a partnered podcast on any subtopic related to the use of AI in chemistry. Beyond language skills, the project additionally aims to encourage students’ collaboration with AI-powered tools and enhance their AI literacy. All project steps are detailed in an additional PDF file. The integration of the project is not restricted to a language course; it can be adapted for any university-level communicative course.

Book Of Abstracts, Seton Hall University

2025 Augustine Undergraduate Research Symposium

No abstract provided.

Examining Emotional Intelligence Strategies Of Human Resource Administrators For Women’S Leadership In Healthcare, Selenda Johnson

Walden Dissertations and Doctoral Studies

Gender-based distinctions between leaders create differences in leadership methods that reshape their choices and teamwork approaches. Human Resource Administrators are concerned with how the lack of organizational support for Emotional Intelligence (EI) in female leaders influences them to leave, potentially leading to increased organizational costs. Grounded in Emotional Intelligence theory, the purpose of this qualitative pragmatic study was to explore EI strategies used by healthcare administrators in the Southeastern United States to increase female leadership retention in their organizations. The participants were 6 HR administrators with at least 2 years of experience from healthcare organizations who successfully implemented EI strategies …

High And Dry: Evaluating Solutions To Cannabis Affiliated Business' Inability To Obtain Bankruptcy Protections, Grace E. Paul

Seton Hall Law Review

No abstract provided.

The Under-Prosecution Of White-Collar Crime, Joseph Whalen

Honors Program

White-collar crime comprises nonviolent, financially motivated offenses by individuals and corporate entities. The social costs are immense, yet the prosecution of such crimes is comparatively small compared to other forms of non-violent crime, often resolving with opaque settlements rather than prosecution. This study examines why under-prosecution is so prevalent in white-collar crime, how it undermines democratic trust, and what reforms could be implemented to improve accountability. Under-prosecution will be operationalized through a mixed-methods design, accounting for the most observable proxies. First, the share of filings involving white-collar offenses; second, the prevalence of deferred or non-prosecution agreements (hereinafter referred to as …

Exploring The Potential Of Artificial Intelligence To Improve The Journal Peer Review Process, Eliza Fanny Bondah

Theses and Dissertations

Academic publishing depends on the peer review process to guarantee quality, scholarly rigor, and credibility, but the traditional peer review system receives mounting criticism because of its inefficient operations, biased judgments, and irregular standards. This study explores how artificial intelligence (AI) can improve journal peer review systems to solve a variety of issues, including reducing reviewer exhaustion, minimizing bias, improving consistency, and accelerating the review process. Current literature shows AI as a promising yet controversial solution, which may provide structured feedback with improved consistency and efficiency. Our study examined 52 human reviews together with 26 AI-generated reviews from EdTechnica--An Open …

Bayesian Alignment Prior To Connectionist Temporal Classification Loss, Lawry Sorenson

Theses and Dissertations

We propose revisions of Connectionist Temporal Classification (CTC) loss and forced alignment to support longer input sequences. CTC loss is normally used for training in speech and handwriting recognition tasks when the labels are not fully aligned with the data, while forced alignment is a downstream task that finds the optimal path for segmentation purposes. The current implementations consider all possible alignments between the input and label, which grows exponentially with the size of the input. We show that in cases when silence is removed and speaking rate is consistent, the true alignment is a mostly straight line across time …

From Cafes To Competitiveness: The Influence Of Amenities On Office Values And Suburban Economic Development In Portland, Or, Jihye Kang

Dissertations and Theses

This dissertation examines the spatial and economic implications of urban amenities in the formation of suburban office markets in the post-pandemic period. The research applies principles from agglomeration theory, spatial econometrics, and urban planning to analyze the statistical relationships between amenity distribution, rent formation, and location behavior across central and non-central submarkets.

The research consists of three integrated papers focused on the Portland–Vancouver–Hillsboro, OR–WA Metropolitan Statistical Area (MSA). The first paper employs spatial econometric modeling, specifically a Spatial Autoregressive Model with Autoregressive Disturbances (SARAR), to examine the relationship between proximity to cafés and office rent levels in Portland’s central business …

Interview With Orca Award Winner John J. Janovy, Jr., Unl Biological Sciences; Parasitologist And Author, Mark Griep, John J. Janovy Jr.

UNL ORCA Interview Series

Professor John Janovy, Jr., was awarded the ORCA in 1998. John was born in Louisiana, but his family moved to Oklahoma, where he grew up in Tulsa and then Oklahoma City. Something in his youth must have sparked an interest in science because he earned three degrees from the University of Oklahoma in Norman: a bachelor of science in math in 1959, a master of science in zoology in 1962, and doctoral degree in zoology in 1965. Next, he ventured 1400 miles east to Rutgers University in New Brunswick, New Jersey, where he did post-doctoral work for about a year. …

Fear The Feminine! Willa Cather’S O Pioneers, Edith Wharton’S The Glimpses Of The Moon, And The Rejection Of Femininity In The Canon Formation Of Realist And Naturalist Writing, Anna Connor

Honors Program Theses and Projects

No abstract provided.

Elevated Lactate In Aml Bone Marrow Contributes To Macrophage Polarization Via Gpr81 Signaling., Celia A Soto, Maggie L Lesch, Jennifer L Becker, Azmeer Sharipol, Amal Khan, Xenia L Schafer, Zhewen Li, Amanda R Streeter, Michael W Becker, Joshua C Munger, Benjamin J Frisch

Oncology Articles

Interactions between acute myeloid leukemia (AML) and the bone marrow microenvironment (BMME) are critical to leukemia progression and chemoresistance. In the solid tumor microenvironment, altered metabolite levels contribute to cancer progression. We performed a metabolomic analysis of AML patient bone marrow serum, revealing increased metabolites compared to age- and sex-matched controls. The most highly elevated metabolite in the AML BMME was lactate. Lactate signaling in solid tumors induces immunosuppressive tumor-associated macrophages and correlates with poor prognosis. This has not yet been studied in the leukemic BMME. Herein, we describe the role of lactate in the polarization of leukemia-associated macrophages (LAMs). …

Cracking The Shell: A Corpus-Based Analysis Of The Functions Of Shell Nouns In American Legal Contracts, Geoffrey T. Julian

Undergraduate Honors Theses

The forms and functions of shell nouns (SN), semantically abstract nouns that can package and characterize complex segments of discourse, have been documented in academic discourse and L2 English writing (e.g., Aktas & Cortes, 2008; Benitez-Castro & Thompson, 2015). The abstract nature of SNs lends itself to use where vague language might be favored to allow for a variety of contingencies (Benitez-Castro, 2015). Thus, SNs have also been found to be present in legal language where some of these functions are desirable (Ren et al., 2019). The present study examines the use of SNs in a corpus of 2,700 US …

Assessing Readiness For Point-Of-Care Ultrasound Implemenatation In A Neonatal Intensive Care Unit, Stacy Lynn Brunquist

Student Projects for Graduate Degrees

Point-of-care ultrasound (POCUS) is an emerging diagnostic tool in neonatal care, yet widespread use in NICUs remains limited by provider training, confidence and organizational readiness. The purpose of this evidence-based practice project was to evaluate whether a brief POCUS educational intervention improved NICU provider readiness for adoption. Using a pre/post design, NICU providers at a regional tertiary NICU in Alaska completed the POCUS Readiness and Adoption Survey (PRAS) immediately before and after a structured 45-minute POCUS orientation presentation. The PRAS measured six domains: knowledge, attitudes, change efficacy, organizational support, intent to adopt, and perceived barriers. Twelve providers completed both surveys. …