Digital Commons Network^™

The Early Translation Of Ellen G. White Books Into Spanish, Gluder Quispe

Ellen White and Current Issues Symposium

No abstract provided.

The Phenomenon Of Prophecy And Role Of Prophets In The Old Testament Compared With The Ministry Of Ellen G. White, Jiří Moskala

Ellen White and Current Issues Symposium

No abstract provided.

Gift Of Prophecy And The Church: A Biblical Perspective, Ranko Stefanovic

Ellen White and Current Issues Symposium

No abstract provided.

Responding To The Vision Of 1856: How Adventists Have Understood And Explained Its Message, Tim Poirier

Ellen White and Current Issues Symposium

No abstract provided.

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’S Theology Of The Holy Spirit In Conversion, Isaac Olatunji

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.

The Homes Of James And Ellen White, Stanley D. Hickerson

Ellen White and Current Issues Symposium

No abstract provided.

Ellen White And Her Understanding Of ‘Self’, Peter Van Bemmelen

Ellen White and Current Issues Symposium

No abstract provided.

Ellen White And Environmental Ethics, Joann Davidson

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 …

Air Floating Mouse, Hp Inc

Defensive Publications Series

An air floating mouse integrated into a lightweight micro blower at bottom of the mouse which creates a layer of the air between mouse and the table. By introducing a layer of air between mouse and the table, it could reduce the friction force between mouse and table. Users can adjust the friction force by software as needed.

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 …

Model-Based Vision System For Evaluation And Improvement Of Gaits In Legged Locomotion, Kenneth P. Clark, Christopher R. Meng, Laurence J. Ryan

Defensive Publications Series

This disclosure relates to the evaluation and improvement of gaits in legged locomotion of humans, animals, and robots by superimposing a biomechanical figure selected from a spectrum of models onto the recorded motion of a test subject. For gait evaluation, a model is selected from a database to closely match the observed gait and existing performance parameters are obtained. For gait improvement, an incrementally superior model is selected from the database to provide enhanced performance goals. This Model Vision Evaluation (MoVE) system thus includes spectrums of biomechanical models over a range of inferior to superior levels of skill and performance …

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.

Temperature Predicts Myotis Lucifugus Declines And Persistence After White-Nose Syndrome Introduction, Tanner M. Barnes, Jared D. Wolfe, Allen Kurta, Steve M. Smith, John E. Depue

Michigan Tech Research Data

No abstract provided.

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.

How Unh Is Adapting To Ai, Delaney Nickerson

Digital Edition

No abstract provided.