Digital Commons Network^™

A Comprehensive Review Of Influence Of Critical Parameters On Wettability Of Rock-Hydrogen-Brine Systems: Implications For Underground Hydrogen Storage, Nurudeen Yekeen, Berihun Mamo Negash, Muhammad Ali, Ahmed Al-Yaseri, Surajudeen Sikiru

Research outputs 2022 to 2026

The rock wettability is one of the most critical parameters that influences rock storage potential, trapping, and H2 withdrawal rate during Underground hydrogen storage (UHS). However, the existing review articles on wettability of H2-brine-rock systems do not provide detailed information on complexities introduced by reservoir wettability influencing parameters, such as high pressure, temperature, salinity conditions, micro-biotic effects, cushion gases, and organic acids relevant to subsurface environments. Therefore, a comprehensive review of existing research on various parameters influencing rock wettability during UHS and residual trapping of H2 was conducted in this study. Literature that provides insight into molecular-level interaction through machine …

Secondary Teachers’ Instructional Strategies And Challenges In Teaching English Language Learners In Mississippi, Megan Cara Morgan

Walden Dissertations and Doctoral Studies

Mainstream high school teachers in a district in the state of Mississippi have struggled to consistently implement research-based strategies that address the needs of English Language Learners (ELLs). Guided by Echevarría et al.’s sheltered instruction observation protocol (SIOP), the purpose of this basic qualitative study was to explore the instructional practices implemented by mainstream high school teachers at a Title I high school in a Mississippi district that are aligned with research-based practices and the challenges they reported in improving ELL student achievement in mainstream classrooms. Data were collected from semistructured interviews with nine teachers from a Title I high …

The Daily Gamecock: November 2025, University Of South Carolina, Office Of Student Media

2025

No abstract provided.

Ndls Communicator: Week Of 11.17.25, Notre Dame Law School

NDLS Communicator

The Latest News

• Justice Amy Coney Barrett to judge final round of moot court tournament named in her honor
• Veterans Day 2025: Honoring our ND Law student veterans and reflecting on God, Country, Notre Dame
• Notre Dame faculty contribute to dialogue on artificial intelligence at the Vatican
• Notre Dame experts bridge law and child development to tackle crisis of family separation amidst armed conflict

Alumni News

• Notre Dame LL.M. Graduates Victoria Mendoza Ruiz and Mbonisi (Bo) Secure Prestigious UN Internships

Faculty Briefs

• Caleb Stone
• Christina Jones
• John Meiser
• Nicole Garnett
• Patrick Corrigan
• Mary Ellen O'Connell
• Haley Proctor
• Sadie Blanchard
• Nell …

11.17.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Qualtrics training sessions
• Alcorn State University, Dr. Edmund Buckner

Quality Improvement Project: Improving Competency Of Behavioral Health Technicians In Vital Sign Technique, Ashley Buescher

Doctor of Nursing Practice Projects

Untreated hypertension or hypotension can lead to serious health problems, including death. Proper technique is essential when obtaining a blood pressure reading to improve patient safety. The goal of the quality improvement project was to improve competency in blood pressure technique by implementing standardized training. The initiative addressed discrepancies in blood pressure readings in the intake unit of a behavioral health hospital. Using the Stetler Model of Evidence-Based Practice and John Kotter’s 8-Step Change Model, a single sample, pre-post design was implemented over 4 weeks. The American Heart Association's blood pressure guidelines and the Teach-Back Observation Tool were used in …

The Echo: November 17, 2025, Taylor University

2025-2026 (Volume 113)

No abstract provided.

Radiation Hardness Study Of Finfet And Gate-All-Around Fet Sram, Albert Lu

Master's Theses

Radiation, such as alpha particles or neutrons, is hard to control and can come from sources such as trace impurities or cosmic rays from space. These can then strike a semiconductor device, such as a Static Random Access Memory (SRAM) cell, and cause the SRAM to have its bit flipped. This bit flip is often just a temporary effect and is thus called a single event upset (SEU). Although it is temporary, a bit flip can cause severe consequences, such as affecting program functionality by causing incorrect data to be used. This is made worse in critical environments that need …

Exploring Human Perception And Cognition In Expressing And Understanding Mechanical Designs, Yan-Ting Chen

Theses

Effective communication of mechanical designs through technical drawings requires geometric accuracy, efficiency, and an understanding of human perception and cognition. Although advances in computer-aided design (CAD) software have improved drawing precision and automation, current tools often overlook the spatial reasoning processes that users employ to interpret these representations. This study seeks to improve the accuracy and efficiency of human-computer interaction in CAD environments by examining how individuals perceive and interpret three-dimensional mechanical components within the context of technical drawings. A key focus is the identification of canonical and optimal views that align with intuitive human understanding. Through a series of …

Promising Effects Of Car T-Cell Therapy In Refractory Stiff Person Syndrome And A Hopeful Future For All Neuroautoimmunities, Marinos Dalakas

Department of Neurology Faculty Papers

Chimeric antigen receptor (CAR) T cells are genetically modified T cells expressing CARs, initially developed to recognize tumor antigens and kill cancer cells that evade T-cell recognition. Because of their impressive success in hemato-oncologic malignancies, CAR T cells are being repurposed with redesigned constructs for safety and sustained efficacy to target refractory systemic autoimmune or neurologic diseases. The CD19 CAR T cells-targeting those CD19-positive, antibody-secreting, long-lived plasma cells, and plasmablasts-are now extensively explored in refractory neuroautoimmunities with promising benefits based on case series in patients with myasthenia gravis (MG), stiff person syndrome (SPS), neuromyelitis, myositis, and multiple sclerosis; some patients …

The Agentic Database And Military Command: A Perspective On Autonomous C2 Systems, Elise Annett, James Giordano

Strategic Insights

This commentary explores how emerging autonomous command and control (C2) systems, powered by advanced machine learning and data-driven decision engines, are transforming military decision processes. The authors introduce the concept of an “agentic database,” a framework in which autonomous systems actively sense, assess, and act upon dynamic operational data to support or augment human command decisions. While these systems offer potential benefits in speed, situational awareness, and decision quality, they also raise critical questions about accountability, trust, human oversight, and strategic risk. Meaningful integration of autonomous C2 requires doctrinal clarity, clear ethical guidelines, robust verification, and continuous human-machine collaboration to …

Faculty Senate Executive Committee Minutes November 17, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• Call to Order
• Approval of Minutes - October 17, 2025
• University Business
• Faculty Senate Business
• Information
• EPC Report - November 6, 2025
• Report
• Honors Program Annual Report
• USUSA Annual Report
• Faculty Evaluation Committee
• Old Business
• New Business
• Adjourn: 4:46 pm

Re: Comment Letter For Diggings East 95 % Remedial Design Package Submittal (Dated August 29, 2025), The Silver Bow Creek Conservation Area (Sbcca) – 95 Percent Programmatic Technical Specifications Submittal (Dated August 19, 2025), The Draft Final Sbcca Construction Quality Assurance Plan (Dated August 20, 2025) And The Butte Priority Soils Sbcca Operations And Maintenance (O&M) Plan (Dated August 14, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Rider (2025-11-17), Daniela Martinez Salazar

The Rider Archives

Vol. 11, No. 12

Machine Learning Model For Detecting Masked Hypertension In Young Adults, Brendyn Miller, Samuel Coeyman, Annemarie Wentzel, Carina M.C. Mels, William J. Richardson

Chemical Engineering Faculty Publications and Presentations

Introduction Cardiovascular disease (CVD) remains the leading global cause of mortality, with hypertension (HT) being a significant contributor, responsible for 56% of CVD-related deaths. Masked hypertension (MHT), a condition where patients exhibit normotensive blood pressure (BP) in clinical settings but elevated BP in out-of-clinic measurements, poses an elevated risk for cardiovascular complications and often goes undiagnosed. Current diagnostic methods, such as ambulatory BP monitoring (ABPM) and home BP monitoring (HBPM), have limitations in feasibility and accessibility. Methods This study aimed to address these challenges by leveraging machine learning (ML) models to predict MHT based on clinical data from a single …

Developing A Genetic Return Of Results Service Core, Jennifer A Mckenzie, Erin Mcroy, Kevin M Bowling, Jorge Luis Granadillo De Luque, Jessica Mozersky, Erin Linnenbringer, Dustin Baldridge, Jonathan W Heusel, Julie A Neidich, Amanda F Cashen, Laura J Bierut, Sarah M Hartz, Christina A Gurnett

2020-Current year OA Pubs

Research participants should be informed of genetic test results that could impact their health, particularly when they have expressed interest in receiving such information. Furthermore, the return of genetic test results is essential to improve trust, transparency, and health equity. However, investigators often encounter barriers in returning genetic test results to research participants. We examined genomic research at a large, research-intensive medical school and found less than 6% of protocols included plans to return results to participants. This study describes our development of protocols for returning primary and secondary genetic test results and implementation of a Genomic Return of Results …

When Shame Leads To Silence: Leadership Style Moderates Shame, Silence, And Job Satisfaction, Andrew M. Lyman

USF Tampa Graduate Theses and Dissertations

ABSTRACT Shame is a fundamental self-conscious emotion that shapes behavior and communication in the workplace. This study examined how shame interacts with leadership styles to influence employee silence and job satisfaction. Survey data were collected from 1,500 professionals across diverse industries, and statistical analyses were conducted to test nine hypotheses. Three hypotheses were assessed through direct linear regression while six moderation hypotheses were evaluated using moderated multiple linear regression models to capture leadership style as a contextual influence.

Findings indicated that shame significantly predicted higher levels of silence and lower levels of job satisfaction. Silence was also negatively associated with …

Face Card Declined: The Deepfake Threat To Biometric Security In Financial Systems, Hazel Fernandez

Washington and Lee Law Review Online

Once limited to entertainment and disinformation, deepfakes are now extending into the financial sector, where voice and facial impersonations exploit biometric authentication systems to facilitate fraudulent transactions. This evolution exposes gaps in existing legal and regulatory frameworks, raising critical questions about consumer protection and institutional safeguards. This Note argues for a reconceptualization of deepfake harms as both a privacy and a financial security issue. It examines the illusion of consent generated by synthetic impersonation and insufficient statutory protections. The analysis examines the patchwork of federal, state, and international laws governing data privacy and artificial media, highlighting the gaps that allow …

Water-Based Logic: The Water Heritage Of Greater Nanning And Its Role In Urban Authenticity, Tiansheng Li

Journal of Environmental Science and Sustainable Development

Water heritage plays a pivotal role in establishing Greater Nanning as a central city in the upper Pearl River basin of southern China. However, this heritage has largely been overlooked due to an urban narrative dominated by land-centrism. This article explores methods to create a comprehensive understanding of the water heritage of Greater Nanning and discusses how it can be integrated into the concept of urban authenticity. It argues that both tangible and intangible water heritages are essential elements to safeguard urban authenticity and promote sustainable cultural development. This study adopts an explanatory sequential mixed-methods design, combining quantitative analysis with …

Evaluating Semantic Representations In Multimodal Word Grounding, Saima Shaukat, Amir Aly, Thomas Wennekers, Angelo Cangelosi

School of Engineering, Computing and Mathematics

Word grounding tasks aim to associate individual words withcorresponding elements in visual scenes, enabling machines to link language with perception for effective human–machine interaction. However,existing grounding models struggle to generalize to synonyms or unseenlexical variants, limiting their performance in open-domain scenarios. Inthis paper, we present a Bayesian multimodal grounding model that incorporates word embeddings as priors within a probabilistic generativeprocess to improve robustness under lexical variation. We compare theeffects of static FastText and contextual BERT embeddings on grounding accuracy by conditioning word–visual associations on their semanticrepresentations. Experiments use CLEVR-generated 3D scenes pairedwith structured compositional descriptions to test the grounding of …

Facilitating Bedroom Recording Practices, Christopher William Bulgren, Jason C. Fick

Journal of the Association for Technology in Music Instruction

An increase in access to recording technology has expanded opportunities for teachers and students. One approach, bedroom recording, involves the use of low-budget hardware and software in common, untreated spaces, often in one’s home. Bedroom recording practices significantly impact the sense of place and workflow in the industry for both professionals and amateur music makers. As an art form that thrives on mobility, bedroom recording is a natural pathway for music students to achieve low-cost, self-guided recordings. The purpose of this study was to explore best practices and student interactions related to a bedroom recording project. Participants were 17 Music …

Renting As An Actively Conducted Business Under Secs. 346 And 355: An Economic Concept, Robert H. Whitten Jr.

Tax Adviser

No abstract provided.

Salary Report, 2025 November, Eastern Michigan University

EMU Salary Reports

No abstract provided.

Speculative Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi Khatchadourian Ph.D., Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code---supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the "best of both worlds," using them effectively requires subtle considerations. Our key insight is that, while DL programs typically execute sequentially, hybridizing imperative DL code resembles parallelizing sequential code in traditional systems. Inspired by this, we …

Speculative Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi Khatchadourian Ph.D., Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code---supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the "best of both worlds," using them effectively requires subtle considerations. Our key insight is that, while DL programs typically execute sequentially, hybridizing imperative DL code resembles parallelizing sequential code in traditional systems. Inspired by this, we …

Open-Source Collaboration For Industrial Software Innovation Catch-Up: A Digital–Real Integration Approach, Yuntao Long

Double Helix Methodology

In the era of digital–real integration, open-source collaboration has become a strategic pathway for accelerating the innovation catch-up of China’s industrial software. This study employs an exploratory multi-case design, focusing on the China Automotive Operating System open-source project and the FastCAE open-source domestic CAE software integrated development platform to examine how open-source strategies shape collaborative mechanisms and innovation outcomes. The analysis reveals that firms adopt both formal (behavioral and outcome coordination) and informal (relationship and empowerment coordination) strategies, fostering high-level complementary collaboration in data, technology, institution, and human resources. These mechanisms significantly enhance R&D efficiency and quality, drive technological innovation, …

Physics-Informed Deep Learning Reveals Climate-Driven Snowpack Decline And Threatens Ecological Water Availability In A Californian Snow-Fed Catchment, Surendra Maharjan, Wenzhao Li, Rejoice Thomas, Shahyar Fazli, Arshad Ansari, Hesham Morgan, Ali Elgendy, Mohamed Allali, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Mountain snowpack functions as a critical natural reservoir, and its gradual melt sustains streamflow for downstream ecosystems, particularly in arid and semi-arid regions. Climate warming is disrupting these historical patterns by shifting precipitation from snow to rain and accelerating melt, creating an urgent need for robust ecological forecasting tools that can anticipate threats to water availability. Physics-informed machine learning (PIML) offers a powerful approach to this challenge by integrating domain knowledge into flexible data-driven models. This study evaluates and compares the performance of three hydrological modeling approaches: (i) a calibrated process-based Soil and Water Assessment Tool (SWAT), (ii) a data-driven …

Control As A Constitutional Threshold: Moody V. Netchoice And The Case For Human Authorship, Giselle Goad

Northwestern University Law Review

The Supreme Court’s 2024 decision in Moody v. NetChoice, LLC left a critical question unanswered: when do algorithmic outputs on social media platforms, such as recommended posts and videos, constitute the platform’s protected speech under the First Amendment? This Note contends that courts and litigants should borrow from the First Amendment’s speech-promoting partner, copyright law, and its authorship framework when answering that question. Copyright doctrine has already begun to grapple with how much human control is required over expressive outputs generated with the aid of technology, including AI, in order for an author to receive copyright protection over those outputs. …

The Search Of A Search: Moderating Reverse Internet Keyword Warrants, Tui Rademaker

Northwestern University Law Review

Statistics show that Americans consistently turn to Google and other search engines to answer their most personal and private concerns, yet a new investigative tool risks law enforcement having vast discretion in the access of this data. With a keyword warrant, law enforcement can request from a search engine provider (usually Google) a list of probative search queries that users made over a specified time period. Such warrants are beginning to face legal challenges, and so far, courts seem reluctant to recognize the constitutional implications—instead leaving law enforcement with greater potential discretion over their use.

This Note assesses the constitutionality …

Improving Access To Menopause Care Through Emr Integration And Provider Education, Laura Nickerson

Capstones

Abstract

Perimenopause and menopause represent universal, transformative life stages that affect more than 63 million women in the United States. Yet, this phase remains among the most neglected areas in women’s health. Despite robust evidence supporting the safety and effectiveness of both hormonal and non-hormonal therapies, millions of women remain undiagnosed or undertreated due to fragmented healthcare systems, limited provider education, absence of EMR screening prompts, and inconsistent insurance coverage.

This Capstone Project synthesizes current research and population health data to evaluate how integrating a standardized menopause SmartSet within the electronic medical record (EMR), coupled with structured provider education, can …