Digital Commons Network^™

Harnessing Ai And Iot For Advancing Sustainable Development Methods, Najm A. Aleessawi, Soud Elmaskali

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative potential for advancing sustainable development, aligning with the United Nations’ 2030 Agenda for Sustainable Development. This study conducts a systematic literature review (SLR) of 72 peer-reviewed studies (2019–2025) to explore innovative models, methods, and applications of AI-IoT in promoting sustainability. Grounded in systems theory, socio-technical systems, and sustainability science, the findings highlight prevalent models, such as smart cities and precision agriculture, as well as advanced methods like machine learning and edge AI, with applications across energy, agriculture, healthcare, transportation, and water management. Key outcomes include 15–25% …

Preparing Nurse Preceptors And Clinical Nurse Educators To Advance Health Equity, Tiffany Allen, Emily Elliott, Joanne Noone

International Nursing Research Congress (INRC)

The purpose of Oregon Nursing Education Academy (ONEA) is to recruit, retain, and educate nurses in Oregon, Idaho, Washington and Alaska to serve as nurse preceptors and clinical nurse faculty to address the nursing workforce shortage and improve health equity. The United States nursing shortage is unlike others in the past due to several factors, including the extraordinary demands of the Covid-19 pandemic and its continued impact on nurses. Effective training and support are needed to effectively support new nurses (Bakewell-Sachs et al., 2022). Additionally, nurse educators must have a foundational understanding of health equity and social determinants of health …

Psychometric Evaluation Of Nursing Perceptions In Caring For Patients With Delirium Scale, Yunchuan Zhao, Elena Jacobs, Brittany Kelley, Anna C. Quon, Laura J. Tivis

International Nursing Research Congress (INRC)

Background/Purpose: Delirium is a serious and often under-recognized condition in hospitalized patients, particularly in critical and acute care settings. Nurses play a key role in delirium prevention, screening, and management.1 However, nurses may not consistently use evidence-based practices when caring for patients with delirium.2,3 Research shows that nurses’ attitudes and perceptions towards delirium can significantly affect the quality of delirium care.4,5 It is important to identify and understand nursing perceptions of delirium to address barriers in delirium prevention and management. Currently, there is no valid instrument to assess nursing perceptions when caring for patients with delirium. The study aimed to …

The Impact Of Removing Concepts Of Health Equity From Us Nursing Education: A Scoping Review, Michael Mosley, Felesia Bowen

International Nursing Research Congress (INRC)

Purpose: Racial bias contributes to health disparities. Efforts to increase awareness of principles of diversity, equity, and inclusion (DEI) are needed to reduce health disparities. Increasing diversity of the U.S. population highlights an imperative that student nurses graduate with the skills necessary to care for all patients. Proliferation of anti-DEI laws has meant that in some states, faculty are not able to teach about diversity and the root causes of health disparities. Some faculty have reported they are removing content related to social determinants of health from their lectures and readings for fear of losing their jobs. The purpose of …

Fine-Tuning A Domain-Specific Language Model For Truss Structural Analysis, Rajon Dey, Weidong Wu, Yu Liang, Joseph Owino, Ignatius Fomunung, Mbakisya A. Onyango

UTC Spring Research and Arts Conference

This research investigates the feasibility of fine-tuning a domain-specific language model (LLM) to enhance the accuracy and accessibility of truss structural analysis. General-purpose AI models, such as ChatGPT, often struggle with engineering-specific problems due to insufficient domain knowledge. To address this, we propose fine-tuning a small LLM tailored for structural engineering tasks, with truss analysis using the stiffness method as a case study. The project leverages a curated dataset of textual and diagrammatic inputs from engineering textbooks, manuals, and solved examples. Image-to-text tools will translate structural diagrams into machine-readable formats, reducing data preparation costs while maintaining numerical precision. Fine-tuning involves …

Measuring The Impact Of Network Underlay Outages On Cloud And Production Networks, N/A

Defensive Publications Series

A new approach is provided for measuring the impact of network underlay (Layer 3) outages on customer-facing services, such as internal applications (Layer 7) and external cloud virtual machines (VMs). The approach performs a cross-layer impact analysis by correlating low-level network performance data with customer-level metrics within fine-grained time intervals. By comparing performance across layers for the same network path and time, the system can distinguish between L3 outages that are successfully mitigated ("repaired") and those that "surface" to the customer. The resulting metric, "surfaced SLO burn," quantifies the actual customer-experienced outage, enabling more accurate measurement of the issues and …

Service Activation Test Solution Over Evpn Multi Homed Networks, Anonymous

Defensive Publications Series

This disclosure relates to enhancements in Service Activation Test (SAT) methodologies for Ethernet VPN (EVPN) networks employing multi-homing with all-active redundancy. Conventional SAT methods, such as those defined in RFC 2544 and ITU-T Y.1564, assume symmetric traffic paths and do not account for Equal-Cost Multi-Path (ECMP) forwarding behavior in EVPN VPLS, VPWS, or FXC deployments. As a result, test frames may traverse non-deterministic paths, causing inaccurate or incomplete service-level measurements. The disclosed solution introduces a uni-directional SAT framework that computes throughput, latency, jitter, and frame-loss on forward paths only, avoiding reliance on reverse traffic. The approach utilizes three functional elements: …

The Prospector, September 9, 2025, Utep Student Publications

The Prospector

No abstract provided.

Nitric Oxide Radiometer Development, Deron Scott, Phil Scott, Trent Newswander, Marty Mlynczak

Space Dynamics Laboratory Publications

SDL developed a small satellite payload to support the NICEcube mission concept capable of measuring vertical profiles of infrared radiance at 5.3 µm from nitric oxide (NO) in the atmospheric limb (100-250 km). These radiance measurements can be directly inverted to achieve vertical profiles of infrared cooling rates which are crucial to understanding the density response to the thermosphere in times of elevated geomagnetic activity. The payload was designed to fit on a 12U cube sat, function at low power and small mechanical envelope. Completed work includes building the telescope, integrating a representative detector, alignment, test planning, and initial testing. …

02. Equilibrium Thermodynamics Ii: Engines, Gerhard Müller

Equilibrium Statistical Physics

Part two of course materials for Statistical Physics I: PHY525, taught by Gerhard Müller at the University of Rhode Island. Documents will be updated periodically as more entries become presentable.

Updated with version 2 on 1/8/2026.

In Re: Tk Holdings Inc

2025 Decisions

USDC for the District of Delaware

Intelligence Architectures And Machine Learning Applications In Contemporary Spine Care, Rahul Kumar, Conor Dougherty, Kyle Sporn, Akshay Khanna, Puja Ravi, Pranay Prabhakar, Nasif Zaman

SKMC Student Presentations and Publications

The rapid evolution of artificial intelligence (AI) and machine learning (ML) technologies has initiated a paradigm shift in contemporary spine care. This narrative review synthesizes advances across imaging-based diagnostics, surgical planning, genomic risk stratification, and post-operative outcome prediction. We critically assess high-performing AI tools, such as convolutional neural networks for vertebral fracture detection, robotic guidance platforms like Mazor X and ExcelsiusGPS, and deep learning-based morphometric analysis systems. In parallel, we examine the emergence of ambient clinical intelligence and precision pharmacogenomics as enablers of personalized spine care. Notably, genome-wide association studies (GWAS) and polygenic risk scores are enabling a shift from …

Performance Evaluation Of Machine Learning Applications Using Webassembly Across Different Programming Languages, Sallar Khan, Tania Malik, Khalid Hasanov

Research Outputs: 2025-Present

WebAssembly (WASM) has emerged as a promising compilation target for languages traditionally not executed on the web and enable the cross-platform deployment of high-performance applications. While its general use cases have been well studied, the performance implications of executing Machine Learning (ML) workloads via WASM across different programming languages and runtime environments remain relatively unexplored. This paper presents a systematic evaluation of two representative ML models, K-Means and Logistic Regression, implemented in Python, Rust, and C++ and compiled to WASM. These models are executed in two distinct environments: a web browser and the WebAssembly System Interface (WASI), and their execution …

Gerard Manley Hopkins, Sj: Master Architect Of The Company Of Poets, Timothy J. Wesley

College of Education Theses and Dissertations

It has been 107 years since the first collected Poems of Gerard Manley Hopkins, SJ were published by the poet-scholar’s friend and confidant Robert Seymour Bridges. Literary commentators, historians, and theologians have sought to understand the great poet of the Jesuits since the posthumous release of the poetry to the wide world in 1918. Of the many angles on Hopkins’s life that have been analyzed and examined, we could name a few: his sublimated sexuality, his identity as a religious priest, the poet’s placement within The Victorian Period, a voice of apologetic theology within Modernity, a political eco-centric voice, and …

Exploring The Landscape Of Teacher Applications, Dan Goldhaber, Cyrus Grout, Constance A. Lindsay, Elton Mykerezi, Aaron Sojourner, Lauren Dachille

Upjohn Institute Working Papers

Despite widespread concern about teacher shortages, there is little evidence on when teaching positions are posted and how many people apply for them. Using detailed job-posting and application data on nearly 57,000 applicants from 19 traditional school districts and 24 charter organizations, we provide descriptive evidence on the timing of job postings, the supply of applicants, and the characteristics of applicants, emphasizing how each varies across organizations and between the district and charter sectors. We find that late hiring is less prevalent than prior single-district studies suggest—about 11% of openings are posted late—but varies widely across organizations. Applicant supply differs …

Trade Agreements Have Helped Prohibit Forced Labor, Desiree Leclercq

Scholarly Works

While policymakers today debate the future of trade policy, the real story lies in the proven wins quietly shaping economies and improving lives worldwide. This series showcases ten compelling wins in international trade that demonstrate the success of crossborder commerce and open trade policies.

Ferric Metal-Organic Frameworks (Mofs)-Based Electrospinning Fibers For Supercapacitors, Samar A. Salim, Hani Nasser Abdelhamid

Nanotechnology Research Centre

Ferric-based metal-organic frameworks (Fe-MOFs) were synthesized and incorporated into poly(methyl methacrylate) (PMMA) using electrospinning to produce PMMA_Fe-MOF nanofibers. The materials were analyzed using X-ray diffraction (XRD), attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR), and scanning electron microscopy (SEM). The electrospun materials were directly integrated into nickel foam (NF) electrodes for energy storage applications, e.g., supercapacitors. The electrochemical performance was assessed using cyclic voltammetry (CV), galvanostatic charge-discharge curves (GCDC), linear sweep voltammetry (LSV), and electrochemical potentiokinetic reactivation (EPR). The PMMA_Fe-MOF electrodes exhibited outstanding capacitive performance, achieving specific capacitances of up to 1017.5 F/g at 1 A/g for the 2.5 % Fe-MOF …

Dissecting The Effect Of Mitochondrial Bcat Inhibition In Methylmalonic Acidemia, Madeline G Hemmingsen, Guo-Fang Zhang, Yunhan Ma, Hannah Marchuk, Kalyani R Patel, Tong Chen, Xinning Li, Mark Chapman, Sabrina Collias, Dolores H Lopez-Terrada, James Beasley, Ashlee R Stiles, Randy J Chandler, Charles P Venditti, Sarah P Young, Mercedes Barzi, Beatrice Bissig-Choisat, Doug Krafte, Christopher B Newgard, Karl-Dimiter Bissig

Faculty, Staff and Students Publications

Methylmalonic acidemia (MMA) is a severe metabolic disorder affecting multiple organs because of a distal block in branched-chain amino acid (BCAA) catabolism. Standard of care is limited to protein restriction and supportive care during metabolic decompensation. Severe cases require liver/kidney transplantation, and there is a clear need for better therapy. Here, we investigated the effects of a small molecule branched-chain amino acid transaminase (BCAT) inhibitor in human MMA hepatocytes and an MMA mouse model. Mitochondrial BCAT is the first step in BCAA catabolism, and reduction of flux through an early enzymatic step is successfully used in other amino acid metabolic …

Underwater Acoustic Integrated Sensing And Communication: A Spatio-Temporal Freshness For Intelligent Resource Prioritization, Ananya Hazarika, Mehdi Rahmati

Electrical and Computer Engineering Faculty Publications

Underwater acoustic communication faces significant challenges including limited bandwidth, high propagation delays, severe multipath fading, and stringent energy constraints. While integrated sensing and communication (ISAC) has shown promise in radio frequency systems, its adaptation to underwater environments remains challenging due to the unique acoustic channel characteristics and the inadequacy of traditional delay-based performance metrics that fail to capture the spatio-temporal value of information in dynamic underwater scenarios. This paper presents a comprehensive underwater ISAC framework centered on a novel Spatio-Temporal Information-Theoretic Freshness metric that fundamentally transforms resource allocation from delay minimization to value maximization. Unlike conventional approaches that treat all …

Cellulose Based Anti-Viral Anti-Microbial Spray Coating, Soma Shekar Dachavaram, John P. More, Peter A. Crooks, Jamie A. Hestekin

Patents Granted

A cellulose based anti-viral/anti-microbial coating.

Spartan Daily, September 9, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 7

Energy Efficiency Support For Software Defined Networks: A Serverless Computing Approach, Vasilios Kelefouras

School of Engineering, Computing and Mathematics

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as those in the Internet of Things. However, the ever-growing and fluctuating demands for data and services in such applications require more than ever an efficient, scalable, and energy-aware network resource management. To address these challenges, this paper introduces a novel approach that leverages a modular architecture based on serverless functions within an energy-aware environment. By deploying SDN services as Functions as a Service (FaaS), the proposed approach enables dynamic, on-demand network function deployment, achieving significant cost and energy savings through fine-grained …

Therapeutic Restoration Of Mitochondria-Endoplasmic Reticulum Cross Talk For Osteoarthritis, Mingzhuang Hou, Yifan Ma, Yaoge Deng, Yubin Wu, Yanrun Zhu, Yang Liu, Xiaoping Li, Lili Yu, Zirui He, Yifan Wang, Shiyan Dong, Xiaowei Xia, Jianfeng Yu, Chenqi Yu, Kang Kang, Yingjie Lu, Lili Sun, Betty Y S Kim, Yuan Yuan, Yijian Zhang, Wen Jiang, Xuesong Zhu

Faculty, Staff and Student Publications

Osteoarthritis is a prevalent joint disease in the aging population. The hallmark of osteoarthritis is the degeneration of the joint cartilage, characterized by changes in chondrocytes including mitochondrial dysfunction. However, the precise mechanisms of how this affects chondrocyte homeostasis and whether such processes can be explored as therapeutic targets for osteoarthritis remain unclear. Here, we show that impaired mitochondrial function and disrupted cartilage matrix metabolism due to loss of mitofusin-2 (MFN2) expression in chondrocytes leads to the development of osteoarthritis. Sirtuin-3 (SIRT3), a key regulator of mitochondrial function, plays a critical role in modulating MFN2 to restore mitochondrial dynamics, reduce …

Integrative Techniques To Alleviate Abiotic Stress In Plants Using Plant Growth Promoting Bacteria And Fungi: Mechanisms, Interactions, And Applications, Muhammad Naseem, Amjad Iqbal, Muhammad Qadir, Anwar Hussain

All Works

No abstract provided.

Computationally Resolved Neuroprogenitor Cell Biomarkers Associate With Human Disorders, Gerarda Cappuccio, William T Choi, Fatih Semerci, Jill A Rosenfeld, Toni Claire Tacorda, Guantong Qi, Anthony W Zoghbi, Yi Zhong, Hu Chen, Pengfei Liu, Zhandong Liu, Mirjana Maletić-Savatić

Duncan NRI Faculty and Staff Publications

Adult hippocampal neurogenesis, the process of generating new neurons, relies on a rare population of neural stem and progenitor cells (NPCs) within the dentate gyrus complex microenvironment. Discovering the specific genes that define these cells is vital yet challenging due to overlapping expression patterns, limiting detection of rare cell populations using traditional approaches. By employing the computational digital sorting algorithm (DSA) that deconvolves complex gene expression data based on pattern recognition, we identified 129 genes enriched in murine NPCs. We validated these genes against published single-cell RNA sequencing (scRNA-seq) data and discovered that 25 human orthologs were known to cause …

Fatty Acid 2-Hydroxylase Facilitates Rotavirus Uncoating And Endosomal Escape, Enkai Li, Ruochen Zang, Takahiro Kawagishi, Wei Zhang, Kruthika Iyer, Gaopeng Hou, Qiru Zeng, Rita M Meganck, Susan R Ross, Xin Wang, Xiong Su, Siyuan Ding

2020-Current year OA Pubs

Despite the clinical significance of many nonenveloped viruses, the molecular mechanisms of their internalization and membrane penetration are not well understood. Rotaviruses (RVs) are nonenveloped double-stranded RNA viruses and the leading cause of severe dehydrating diarrhea in infants and young children. We identified fatty acid 2-hydroxylase (encoded by

A Pilot Acceptability Trial Of A Prototype Robotic Assistive Device In An Acute Care Setting, Mimia Cynthia Logsdon, Irina Kondaurova, Payman Sharafianardakani, Mandi Walker, Heather Mitchell, Nancy Zhang, Branden Shay, Daniel O. Popa

International Nursing Research Congress (INRC)

BACKGROUND: If acceptable to users, technological innovations including robotic assistive devices have the potential to promote patient safety (fall prevention) and enhance nurse’s time management. The Technology Acceptance Model (TAM) explains how users accept new technology;¹ two primary constructs, Perceived Usefulness (PU) and Perceived Ease of Use (EU), predict Behavioral Intentions (BI) and eventual use of technology with Satisfaction (S) added later as an outcome variable.²

Purpose: Guided by TAM, conduct a pilot acceptability trial of a prototype robotic assistive device (ARNA).

METHODS: Using convenience sampling in US urban acute care setting, study participants included patients …

Prioritizing New Nurse Well-Being: Factors Affecting Patient Safety, Errors, And Turnover, Cory D. Church, Seungman Kim

International Nursing Research Congress (INRC)

Purpose: The well-being of new nurses influences individual health and organizational performance, including job satisfaction, turnover intent, and patient safety (NASEM, 2019). In the global healthcare landscape, addressing these concerns is essential for promoting leadership in organizational development. This study explores the relationship between the well-being of new nurses and organizational outcomes, focusing on leadership strategies that enhance well-being and improve healthcare system functionality.

Background and Significance: New nurses face significant challenges transitioning into professional practice. Transition shock, experienced by new nurses within their first 18 months of practice, leads to stress and burnout (Duchscher, 2018; Eckerson, 2018). Healthcare systems …

Enhancing Pediatric Stoma Nursing Care: Analyzing Youtube Videos For Pediatric Stoma Care Techniques, Aylin Akca Sumengen, Inci Kirtil, Damla Ozcevik Subasi, Gokce Naz Cakir, Gozde Turkmenoglu Kucukakca

International Nursing Research Congress (INRC)

Background: Stoma care requires a multidisciplinary team, but when the patient is a child, family-centered care is crucial [1, 2, 3]. Caregivers and patients without prior experience in ostomy care often share their experiences and seek answers to their questions on digital platforms like social media and YouTube [3, 4]. YouTube is considered a valuable resource for educating pediatric patients and parents. It provides interactive and visual education, which is more accessible than traditional written materials [4, 5, 6]. However, it's important to assess the reliability and validity of these videos through content analysis.

Purpose: The purpose of this study …

What Was I Made For?, Maythazin Minthu

Ovid

No abstract provided.