Digital Commons Network^™

Ai Recipe Blog Is Evaluated Similarly To A Recipe Blog Created By Nutrition And Dietetic Students, Katie N. Kraus, Stacy L. Bevan, Sarah Moore Smith, Maeci H. Armstrong, Brooke Campbell Jeppesen, Catherine Fish, Heidi J. Wengreen

Nutrition, Dietetics, and Food Sciences Faculty Publications

With the growing use of AI, it is important to know target audiences’ perceptions of its use. A convenience sample of students were invited to take an online survey in which they were randomly assigned to Group 1 (evaluated a student-generated blog; n = 456) or Group 2 (evaluated an AI-generated blog; n = 492). The results of independent t-tests and chi-squared tests indicated no group differences in ratings of ease of recipe preparation, time to prepare the recipe, utilization of common ingredients, and frequency of intended use of the blog. The student-generated blog was rated higher on budget …

N Y State Dent J November 2025

The New York State Dental Journal

In the November 2025 issue, the reader will find the following feature articles:

• "Attitudes of New York State Pediatric Dentists Toward Treating Hasidic Patients"
• "A Qualitative Assessment of the Role of Dental Specialists in U.S. Opioid Epidemic"
• "Revolutionizing Dental Operatories"
• "An Update on Non-Cigarette Nicotine-Containing Products and the Periodontal Patient"

This issue includes regular columns with regional news impacting the New York membership including: editorial and legal columns, association activities, component news, continuing education opportunities, and classifieds.

Visual Ecologies And Language In Digital Environments: Narratives From First-Year Composition Students In Multimodal Learning, Elizabeth Escobedo Salazar

Open Access Theses & Dissertations

The expansion of Information and Communication Technologies (ICTs) developed new perceptions of learning, communication processes, shaped university students' new practices and has brought about significant changes in social dynamics. Images and visual language have become central to the way humans communicate, communication processes have changed, and the composition and creation of arguments have changes. In this context, the use of multiple screens (Multiscreens) has led to multitasking, but additionally in digital contexts where students are hyper-connected. They do their homework while on social media, texting, creating videos, using a new app, or watching a movie on YouTube or Netflix. This …

Patient-Informed Fluid-Structure Interaction Simulations Of Bicuspid Aortic Valve In Young Adults Reveal Regionalized Differences In Mechanical Stress, Hail B. Kazik, Harkamaljot S. Kandail, Joy Lincoln, John F. Ladisa

Biomedical Engineering Faculty Research and Publications

Bicuspid aortic valve (BAV) is a common congenital cardiovascular defect characterized by two, rather than three, cusps. Many BAV patients prematurely develop calcification and aortic stenosis by age 35, which is more severe with fusion of the right and noncoronary (RC/NC) cusps. The mechanisms underlying calcification observed within the coaptation, attachment, and fusion regions of BAV patients are unknown. While abnormal mechanical stimuli induced by the bicuspid anatomy likely plays a role, little is known about regionalized mechanical stimuli in these susceptible cusp regions of young patients prior to calcification. Strongly coupled fluid-structure interaction simulations were conducted using physiologic boundary …

Attorneys And Ai: How Lawyers Use Artificial Intelligence And Analyze Its Impacts, Matthew I. Hall, Christian Turner, Eddie A. Gomez Schieber, Nathaniel Kite, Ari Schlesinger

Scholarly Works

AI systems are testing lawyers' professional ethics obligations of competence, confidentiality, and candor. In the legal profession, the widespread availability of AI systems presents opportunities, like improving the review of documents during the discovery stage of a lawsuit, and challenges, illustrated by the handful of high-profile incidents where lawyers submitted legal briefs in court citing and describing fictitious cases based on AI-generated output. We conducted interviews with 44 legal professionals in the U.S. to understand how attorneys are making sense of AI technology and the impacts these technologies are having on their profession, legal ethics, and legal institutions. We describe …

Capacity Maximization Through Production Lead Time Reduction Of Company Xyz With The Use Of Dmaic Methodology, Aaron Will G. Delmo, Julius Angelo D.J. Galang, Maria Liezel C. Eusebio

Journal Article

Company XYZ, an industrial printing company, has been declining in capacity and actual output resulting in monthly unrealized revenue. The goal of this study is to maximize the current capacity, decreasing production lead time by at least 12%, with the use of Define, Measure, Analyze, Improve and Control methodology. The focus was set on the offset machine and packaging process which are the most crucial steps based on Pareto Analysis. Fishbone diagram was then utilized to identify the root cause of the problems with the aforementioned processes. These root causes are further assessed using the CNX analysis. The main root …

Development Of A Ux Effectiveness Evaluation Tool For Mental Health Mobile Applications, Stephanie Caridad Dr. Landicho, Maria Aura Teodora C. Matias

Journal Article

This study developed and validated a comprehensive User Experience (UX) evaluation tool specifically designed for mental health mobile applications. User experience plays a critical role in sustaining engagement and effectiveness in digital mental health interventions, yet existing evaluation tools are not tailored to the unique challenges of this domain. Through a multi-phase process, the research identified 12 key domains for evaluation and developed an initial 48-item instrument, which was refined through expert panel review for face and content validity, resulting in 50 items. Pilot testing with 19 participants demonstrated strong internal consistency (Cronbach's alpha = 0.972). Full-scale testing involved 205 …

Extremism Governance In The United Arab Emirates: A Case Study Using Qualitative Policy Framework, Haya Saleh Almansoori

Theses

This thesis investigates how the United Arab Emirates governs extremism using various models of governance and Gareth Morgan’s metaphorical organizational models. This research goes beyond a focus on security and looks at extremism as a governance and policy problem related to social cohesion, institutional trust, and legitimacy. The research utilizes a qualitative case study design through analyzing federal laws and national strategies, as well as institutional frameworks to understand how authority, coordination and meaning are organized in the UAE’s governance of extremism.

The results show that the UAE’s governance of extremism is characterized as a hybrid governance model with hierarchical …

Enhancing It Security Management With An Advanced Intrusion Detection System Based On Machine Learning And Explainable Ai, Hanan Aslam Al Zubaidi

Theses

The fast changing landscape of cyber threats continues to challenge the development of strong and reliable security frameworks for IT management systems. Traditional defense tools, such as Intrusion Detection Systems (IDS), often struggle to keep up with today's advanced and constantly evolving attack methods. This thesis explores these ongoing challenges and looks into how machine learning (ML) and explainable artificial intelligence (XAI) can be used to boost IDS performance.

The research outlines a smart, adaptive system that combines supervised learning for real-time threat detection, unsupervised models for anomaly analysis, and proactive defense strategies. The goal is to improve detection accuracy, …

Comparison Of Alcohol-Induced Hepatoprotective Effects Of The High Fischer Ratio Oligopeptides With/Without Half Substitution By Pueraria Lobata, Yongke Deng, Qin Zhao, Na Chen, Zhiqin Zhang, Jingxuan Wang, Hongbing Fan, Haimei Liu, Lili Zhang

Animal and Food Sciences Faculty Publications

Long-term excessive intake of alcohol can cause serious damage to the liver, and the study of natural active ingredients with hepatoprotective effects is of great significance for the prevention and treatment of alcoholic liver injury. This study explored the ameliorative effects of high F-value oligopeptides (HFOPs) from Chlamys farreri, Pueraria lobata extract (PL), and their complex (HFOPs + PL) on alcoholic liver injury. Results showed HFOPs + PL significantly reduced alanine aminotransferase (ALT) and aspartate aminotransferase (AST) leakage, increased superoxide dismutase (SOD) and glutathione (GSH) activities, and decreased the production of malondialdehyde (MDA) and inflammatory factors in alcohol-induced HepG2 cells. …

Screening And Identification Of Antioxidant Peptides From Sea Cucumber Gonad Proteins And Their Activation Of Superoxide Dismutase, Zhiqin Zhang, Jingxuan Wang, Yongke Deng, Yugui Wang, Peipei Dou, Hongbing Fan, Xiangquan Zeng, Xinguang Fan, Lili Zhang, Haimei Liu, Qin Zhao

Animal and Food Sciences Faculty Publications

The gonad is one of the major byproducts of sea cucumber. Four novel antioxidant peptides (NPWGQ, PGHPF, VPYPR and ATGPQGPAGQRGPAGPTGPTGPAG) were isolated and identified from sea cucumber gonad proteins through enzymatic hydrolysis and antioxidant activity-guided fractionation, bioinformatics approaches and in silico screening. These peptides demonstrated great free radical (2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS))-scavenging activity and notable superoxide dismutase (SOD)-activation capacity. Molecular docking and molecular dynamics simulation data suggested that these peptides could form strong binding with SOD through hydrogen bonding, electrostatic interactions, and hydrophobic interactions. Among these peptides, NPWGQ displayed the most potent antioxidant and SOD-activating effects. Through searching …

Strategies For Increasing Methane Removal In Methanotroph Stirred-Tank Reactors For The Production Of Ectoine, Jaden Storrer, Tansley M. Mazurkiewicz, Bodee Hancock, Ronald C. Sims

Biological Engineering Student Research

Methane is a potent greenhouse gas that requires its emissions to be mitigated. A significant source for methane emissions is in the form of the biogas that is produced from anaerobic digestion in wastewater reclamation and landfill facilities. Biogas has a high valorization potential in the form of its bioconversion into ectoines, an active ingredient in skin care products, by halotolerant alkaliphilic methanotrophs. Cultures of Methylotuvimicrobium alcaliphilum 20Z were grown in bench scale stirred-tank reactors to determine factors to improve methane uptake and removal. Tangential flow filtration was also implemented for a bio-milking method to recover ectoine from culture media. …

The Changing Landscape Of Eastern Montana: Trends And Insights 2024, Melissa Weddell, Glenna Hartman, Elena Bigart, Kara Grau, Matthew Pettigrew, Ava Worbets, Sophie Morris

Institute for Tourism and Recreation Research Publications

The purpose of this study is to generate a comprehensive overview of tourism trends in Eastern Montana by leveraging existing data sources and integrating new survey insights. By analyzing county-level statistics, regional tourism data, and U.S. Census information, the study aims to create a detailed picture of visitor demographics, trip characteristics, and community dynamics over the past five years (2018-2023). This multifaceted approach illuminates local tourism patterns, highlights key differences between counties, and allows for comparisons with the more heavily visited western regions of the state. Specific objectives include identifying who visits Eastern Montana, how they plan and experience their …

Single-Cell-Driven Design Of Logic-Gated Car Circuits For Enhanced Solid Tumor Immunotherapy, Sanna Madan, Tian-Gen Chang, Alexandra Harris, Huaitian Liu, Andrew Martinez, Saugato Dhruba, Binbin Wang, Padma Rajagopal, Sanju Sinha, Shahin Sayed

Pathology, East Africa

Background Chimeric antigen receptor (CAR) T-cell therapy has revolutionized cancer immunotherapy for hematological malignancies but faces critical barriers in solid tumors due to tumor antigen heterogeneity and on-target, off-tumor toxicities. Logic-gated multi-antigen targeting using Boolean operators (AND, OR, NOT) represents an emerging precision immunotherapy engineering approach to overcome these challenges.

Methods We developed LogiCAR designer, a genetic algorithm-based computational framework that systematically identifies optimal logic-gated antigen combinations (i.e., ‘circuits’) from single-cell transcriptomics data. The algorithm identifies CAR circuits consisting of 1-5 antigens from 2,758 cell surface proteins, optimizing tumor-targeting efficacy while maintaining stringent safety requirements in normal tissues. …

Substituted Piperidines As (Alpha4)3(Beta2)2 Nicotinic Acetylcholine Receptor Positive Allosteric Modulators: In Vitro Pharmacology, Nataly Sanchez, Josue Gaona, Wilder Felix, Nathalia Menegasso, Brisa Cea, Ganesh Thakur, Ayman K. Hamouda

School of Medicine Student Publications and Presentations

Nicotinic acetylcholine receptors (nAChRs) play a crucial role in the pathogenesis of neurodegenerative diseases such as Parkinsonʼs disease (PD). In PD, degeneration of dopaminergic and cholinergic neurons impairs neurotransmitter release, leading to cognitive and motor dysfunction. Current treatments provide only symptomatic relief, highlighting the need for novel therapeutic strategies. The (α4)₃(β2)₂ subtype of nAChRs is expressed on affected neurons, making it a promising druggable target for enhancing neurotransmitter release and providing neuroprotection. To explore the therapeutic potential of positive allosteric modulators (PAMs) of (α4)₃(β2)₂ nAChRs, we evaluated chemical derivatives of CMPI [3-(2-chlorophenyl)-5-(5-methyl-1-(piperidin-4-yl)-1H-pyrazol-4-yl)isoxazole]. We used two-electrode voltage-clamp recordings from Xenopus laevis …

Replication-Competent, Tumor-Specific Immuno-Gene Vectors Allow For Exchange Of Transgenes And Lead To Viral Persistence Following Iv Administration, Lee S Rosen, Christian Ottensmeier, Maria Hawkins, Aung Naing, Guru Sonpavde, Brian A Van Tine, Eileen E Parkes, Sean M O'Cathail, Rui-Ru Ji, Matthew Thomas, Andrea Stacey, Maria Stella Sasso, Oliver Rosen

Faculty, Staff and Student Publications

Introduction: Enadenotucirev (EnAd) and successor transgene-armed Tumor-Specific Immuno-Gene (T-SIGn) vectors are replication-competent, blood-stable viral vectors that traffic to tumor sites following intravenous (IV) administration. Following initial proof of mechanism for this immunotherapy modality, there is a need to identify a safe dosing approach, understand whether transgenes affect tolerability, and determine how to measure exposure and pharmacodynamic effects.

Methods: Safety data from multiple phase 1 trials were aggregated to assess various dosing regimens and toxicities, including those that may be associated with transgene arming. Viral delivery to tumors, peripheral viral persistence, transgene expression, and cytokine responses were also assessed and compared …

Hypertension Prevention Program And Its Effects On Blood Pressure Levels Among Young Adults In A Christian Community In Southwest Michigan, Cindel Hollancid

Doctor of Nursing Practice Projects

Background

Although the majority of patients who present are adults over the age of 40 years old; with blood pressures ranging from 140/88 – 190/110 and many times higher readings, it was intriguing and important to assess whether a direct intervention, teaching young adults ages 18 – 39 years the benefits of lifestyle choices would be beneficial as a preventative measure to implement for hypertension reduction patterns as one ages. According to Hinton et al. (2019), hypertension affects 1 in 8 adults between the ages of 20 and 40 years old and is thus common among young people; with the …

Analysis Of Content Related To Retrograde Cricopharyngeal Dysfunction On Tiktok: Opportunities For Patient Education And Advocacy, Aidan Wright, Nathaniel Hunter, Vivian Jin, Andrew Tritter

Faculty, Staff and Student Publications

Objective: TikTok has experienced exponential growth as a social media platform, with over 1 billion active users. Concurrently, retrograde cricopharyngeal dysfunction (RCPD) has seen a surge in awareness among patients and on social media. Our objective was to characterize the most popular RCPD-related content on TikTok.

Methods: The top 50 videos associated with the following hashtags were analyzed: "RCPD," "noburp," "retrograde cricopharyngeal dysfunction," and "noburpsyndrome." Recorded metrics included views, likes, and comments, along with information regarding the creator's identity, gender, geographical location, and the video's purpose.

Results: One hundred and three videos were included in the final analysis, with a …

Possibilities Of Digitizing And Applying Artificial Intelligence To National Occupational Classification (Noc-2025) In Uzbekistan, Shohrux Nurali O‘G‘Li Narzullayev

Chemical Technology, Control and Management

This article examines the process of digitizing National Occupational Classification (NOC-2025) in Uzbekistan, developed on the basis of the International Standard Classification of Occupations (ISCO-08), and the possibilities of applying artificial intelligence technologies to it. Although this classification exists today in a national form, and its digitization and the introduction of artificial intelligence elements to it based on modern technologies remain a pressing issue. In order to digitize the classification, international systems such as the International Standard Classification of Occupations (ISCO-08, ILO), European Skills, Competences, Qualifications and Occupations (ESCO), Occupational Information Network (O*NET, USA) and National Occupational Classification (NOC, Canada) …

Smart Learning In An Ai-Driven World, Joseph Rene Corbeil, Maria Elena Corbeil

Teaching and Learning Faculty Publications

SMART learning is an approach that combines sustainability, motivation, adaptability, results-oriented practices, and technology enablement. AI-driven SMART learning prioritizes flexibility, cost-efficiency, and knowledge retention, equipping teachers and students with the tools to adapt to an ever-evolving world. By envisioning AI's role in fostering SMART learning attributes, we pave the way for a future where technology and education intertwine to empower learners and redefine teaching practices.

Priming With Transcutaneous Spinal Direct Current Stimulation Followed By Robotic Exoskeleton Gait Training In Individuals With Spinal Cord Injury: A Case Series, Marcie Kern, Catherine Velasquez-Ignacio, Taimoor Afzal, Shih-Chiao Tseng, Gerard E Francisco, Shuo-Hsiu Chang

Faculty, Staff and Student Publications

Objectives: To investigate the safety and feasibility of repeated transcutaneous spinal direct current stimulation (tsDCS) as priming strategy during exoskeleton-assisted locomotor training in individuals with SCI and evaluate potential neurophysiologic and functional gait changes.

Study design: Case series experimental design.

Setting: Research laboratory at a post-acute rehabilitation hospital.

Participants: Four participants with chronic incomplete SCI.

Interventions: Four participants with chronic incomplete SCI received three weeks of training consisting of two types of interventions after baseline (A): 20-minute tsDCS (anode or cathode) applied over the spinous processes of T10 followed by 20-minute exoskeleton-assisted locomotor training (B, B1, B2) and 20-minute exoskeleton-assisted …

Wind Farm Dynamics Over A Diurnal Cycle: Analysis Of A Comprehensive Large-Eddy Simulation, Web-Services Accessible Dataset, Shuolin Xiao, Xiaowei Zhu, Ghanesh Narasimhan, Dennice F. Gayme, Charles Meneveau

Mechanical and Materials Engineering Faculty Publications and Presentations

The atmospheric boundary layer undergoes significant changes throughout a diurnal cycle, affecting wind turbine performance and wakes in wind farms. Wind farm large-eddy simulations (LES) under such conditions provide rich datasets to study the underlying dynamics and identify important trends. Here, we describe a comprehensive open dataset generated using LES of an eight-turbine wind farm consisting of four rows of two turbines. To avoid specifying either prescribed surface temperature or heat flux, a local one-dimensional soil heat conduction model is used with time-periodic solar surface heating, coupled to LES. After several days of low-resolution LES, an approximately time-periodic behavior is …

Comorbidities And Emotions - Unpacking The Sentiments Of Pediatric Patients With Multiple Long-Term Conditions Through Social Media Feedback: A Large Language Model-Driven Study, Temidayo Oluwalade, Hossein Ahmadi, Lin Huo, Richard Sharpe, Shang-Ming Zhou

School of Nursing and Midwifery

ObjectivesThe emotional and psychological challenges faced by children with multiple long-term conditions (MLTCs) remain underexplored. This study aimed to analyze sentiments and emotions expressed by this vulnerable population and their caregivers on social media, assess the effects of comorbidities and the COVID-19 pandemic on emotional well-being.MethodsNarratives from the Care Opinion platform (2008–2023) were analyzed by a model called CoEmoBERT, developed using the large language model, distilroberta-base transformer model. The CoEmoBERT-based sentiment analysis categorized emotions into “Positive”, “Negative”, and “Neutral,” with further refinements into specific emotions such as “Sad,” “Fear”, “Satisfied” etc. through pretraining and transferring process. Comorbidity associations with emotions …

Mine Tailings As A Sustainable Filler For Asphalt Binder–Mastics: A Review, Daniel O. Oguntayo, Nuha S. Mashaan, Sanjay K. Shukla

Research outputs 2022 to 2026

Sustainability has become a primary focus on a global scale. However, there is a threat to sustainable development due to the substantial generation of waste from urbanization and industrialization. Particularly, the accumulation of mine tailings is a problem, an industrial waste by-product from the mining sector. To support sustainable development and promote circular economy, it is imperative to utilize the materials in the production of asphalt mastics. This review examines the performance of mining waste-modified asphalt binder–mastic to create an idea of what tailings might be used for in subsequent studies. This review contributes to knowledge by consolidating research efforts …

Generation Expansion Planning: Transitioning Toward Decarbonization With A Focus On Reliability And Dunkelflaute, Taraneh Ghanbarzadeh, Daryoush Habibi, S. M.Muslem Uddin, Asma Aziz

Research outputs 2022 to 2026

Modern power systems increasingly rely on variable renewable energy sources, supported by energy storage systems and gas power plants, to meet decarbonization targets. However, the high penetration of renewables introduces significant uncertainty due to their weather-dependent nature, posing challenges to system reliability. This paper proposes a probabilistic, multi-level generation expansion planning framework that integrates reliability assessments, with a particular emphasis on the role of energy storage systems. A novel probabilistic approach is also introduced to model the Dunkelflaute phenomenon and evaluate its impact on system reliability. Additionally, the study explores the influence of regulatory mechanisms — referred to as embedded …

Commentary: Delayed Climate Reporting Requirements Threaten Singapore’S Sustainability Leadership, Jiwei Wang, Holly I. Yang, Liandong Zhang

Research Collection School Of Accountancy

In a commentary by SMU Professor of Accounting (Practice) and Director of Master of Professional Accounting (MPA) and Master of Science in Accounting (MSA) programmes Wang Jiwei, SMU Associate Professor of Accounting, Lee Kong Chian Fellow and Co-Director (Academic Research) of the School of Accountancy Research Centre (SOAR) Holly Yang, and SMU Dean of School of Accountancy and Lee Kong Chian Professor of Accounting Zhang Liandong, they suggested that delaying climate disclosure requirements for small and mid-sized enterprises (SMEs) from 2025 to 2030 could weaken Singapore’s sustainable finance leadership, despite regulators saying the extension would help smaller firms build environmental, …

Physicochemical Analysis Of Carbon-Containing Materials Obtained From Vulcanized Rubber Waste And Their Application As Filler Pigments, N.S. Baxranova, Sh.T. Jurayev, D.R. Muminova, Jurayev Shohruh Tulqinovich

Chemical Technology, Control and Management

The article presents the results of chemical and scanning electron microscopic analyses of the solid fraction of carbon-containing materials obtained through thermo-oxidative pyrolysis of vulcanized rubber waste. Elemental analysis of the solid product formed during high-temperature pyrolysis of rubber-technical products at 650–700 °C is provided. In addition, the potential use of the carbonaceous material as a pigment is examined. Raman spectroscopic analysis of worn automobile tires showed that their composition consists of approximately 80 wt.% C, 7 wt.% H, 0.4 wt.% N, 1.5 wt.% S, 3 wt.% O, and 8 wt.% inorganic substances.

Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov

Chemical Technology, Control and Management

Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.

Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev

Chemical Technology, Control and Management

This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity …

The Use Of Diagnostic And Restructuring Methods To Build Reliable Management Systems, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

This article is devoted to the applied analysis of diagnostic and restructuring methods aimed at ensuring the reliability of control systems in the event of failures. The paper considers practical implementations of diagnostic and control algorithms using a servo drive setup as an example. The results of experiments are presented, demonstrating the system's behavior under various fault conditions. A comparative analysis of the effectiveness of the proposed solutions is carried out in terms of stability and operational accuracy. The obtained data confirm the feasibility of using adaptive control structures to increase the fault tolerance of technical systems. The article concludes …