Digital Commons Network^™

Artificial Intelligence In Medical And Biological Research: Promise And Perils Of Chatgpt And Deepseek In Advancing Healthcare, Mahmut Enes Kayaalp, Onur Gülteki̇n, Serhat Akçaalan, Hami̇t Çağlayan Kahraman, Hüseyi̇n Nevzat Topçu, Gülşah Kavrul Kayaalp

Turkish Journal of Biology

Background/aim: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT and DeepSeek, is being increasingly applied in clinical care, research, and education. The aim of this review is to examine how these tools may transform the conduct of medical and biological research and to define their limitations.

Materials and methods: A narrative synthesis of the literature was performed, encompassing studies published between 2020 and 2025. Peer-reviewed journals, systematic reviews, and high-impact original research articles were included to ensure an evidence-based overview. The principle applications, validation metrics, and clinical implications across orthopedics, oncology, cardiology, internal medicine, and the biological …

A Systematic Review Of Machine Learning In Heart Disease Prediction, Tathagat Banerjee, İshak Paçal

Turkish Journal of Biology

Background/aim: Cardiovascular diseases (CVDs) are a leading cause of global mortality, prompting the need for advanced predictive tools. While machine learning (ML) offers a powerful solution, there are significant challenges to clinical translation. This systematic review synthesizes the current state of ML in heart disease prediction, evaluating algorithmic performance, data utilization, and key translational challenges.

Materials and methods: Following PRISMA guidelines, a systematic search of literature published up to 2025 was conducted. From an initial pool of over 2500 records, a rigorous screening process yielded 65 studies for in-depth qualitative synthesis.

Results: Analysis showed that ensemble learning models dominate prediction …

Royal Jelly With Ellagic Acid Inhibits The Glycolytic Pathway And Induces Apoptosis Through Multiple Pathways In Colorectal Cancer, Tuğba Kul Köprülü

Turkish Journal of Biology

Background/aim: Developing novel chemotherapeutics with high anticancer efficacy and low toxicity remains a critical challenge in oncology. Natural products have shown promise due to their multitargeted activity and favorable safety profiles. The present study investigates the combined anticancer effects of royal jelly (RJ) and ellagic acid (EA), two potent antioxidants of animal and plant origin.

Materials and methods: Royal jelly (RJ) and ellagic acid (EA) were applied to HT29 (ATCC HTB-38, Human colorectal adenocarcinoma), HCT116 (ATCC CCL-247, Human colorectal carcinoma) and BEAS-2B (ATCC CRL-3588, human bronchial epithelium) cell lines, and their antiproliferative effects were evaluated using a xCELLigence Real-Time Cell …

Tumor-Specific Cytotoxicity Of Pyrazole-Based Chalcone Derivatives In Human Oral Squamous Cell Carcinoma Cell Lines, Mehtap Tuğrak Sakarya, Hali̇se İnci̇ Gül, Hiroshi Sakagami, Junko Nagai, Yoshihiro Uesawa, Kenjiro Bandow

Turkish Journal of Biology

Background/aim: Pyrazole-based chalcone hybrids are notable in medicinal chemistry for their potential biological activity, although their tumor-specific cytotoxicity and mechanisms remain unknown in OSCC cells. This first study of pyrazole-chalcone hybrids in OSCC cells explores the tumor-selective cytotoxic effects and underlying cell death mechanisms triggered by a series of 10 newly synthesized pyrazole-based compounds (MS1MS10) in OSCC cell lines. Material and methods: The cytotoxic effects of the compounds were assessed using the MTT assay on four human OSCC cell lines and three types of normal human oral cells. The tumor-selectivity index (TS) and potency-selectivity expression (PSE) were calculated, and active …

Evaluating Information - Verifying The Credibility Of Sources, Sandra Teft

Handouts

This in-class assignment was designed for students in a WRT 150 course. The purpose was to get students thinking about the credibility of different sources types, evaluating them based on the criteria presented.

Blockchain-Driven Pharma Supply Chains Towards Industry 6.0, Vijay Ramasamy R

Theses and Dissertations

The pharmaceutical supply chain is undergoing an unprecedented evolution in the wake of Industry 6.0, driven by the need for heightened transparency, security, and real-time intelligence. However, current systems suffer from legacy Enterprise Resource Planning (ERP) constraints, the risk of counterfeit products, temperature sensitivity, and scalability issues due to the surge in Internet of Things (IoT) data.

This research proposes a unified, blockchain-based framework that integrates legacy ERP systems, advanced AI driven forecasting, IoT-enabled traceability, and quantum-enhanced blockchain security to modernize pharmaceutical supply chains.

The study begins by addressing interoperability between ERP and blockchain using middleware and smart contracts, facilitating …

China’S Revised Arbitration Law, Jillian Farrell

Cardozo Journal of Conflict Resolution (CJCR) Blog

Historically, China has been an undesirable venue for arbitration amongst foreign parties. Chinese arbitration institutions had been quasi-governmental, creating concerns about institutional bias and the perception that Chinese arbitrators exercised “ambiguous flexibility” in their decision-making. Chinese courts also had a reputation for not enforcing arbitration awards. Although there has not been empirical data to suggest that Chinese Arbitration proceedings are always biased, the provisions of China’s Arbitration Law itself alongside individual’s experiences painted Chinese Arbitration as unfair and unenforceable.

The print edition of the issue has also been released. This post was originally published on the Cardozo Journal of Conflict …

The Good Design Of Limits, Teresa Terhaar

Faculty Work Comprehensive List

"Being present in the here and now takes intense practice."

Posting about our relationship with time ­­­­­­­­from In All Things, an online hub that offers insight into maintaining and faithful and orthodox Reformed Christian worldview while fearlessly engaging in every aspect of contemporary life – until all is made new.

The Good Design of Limits

Real-World Data For Tisagenlecleucel In Patients With R/R B-All: Subgroup Analyses From The Cibmtr Registry., Samuel John, Kevin J. Curran, Erin Hall, Amy K. Keating, Susanne H C Baumeister, Sarah Nikiforow, Timothy Driscoll, Amy Moskop, Kevin O. Mcnerney, Christine L. Phillips, Michael A. Pulsipher, Emily M. Hsieh, Rayne H. Rouce, Marcelo C. Pasquini, Ranjan Tiwari, Jennifer Willert, Roberto Ramos, Joerg Krueger, Erin Guest, Stephan A. Grupp

Manuscripts, Articles, Book Chapters and Other Papers

Since the first approval of tisagenlecleucel in 2017, pediatric and young adult patients with relapsed/refractory B-cell acute lymphoblastic leukemia (B-ALL) may receive this CD19-directed chimeric antigen receptor T-cell therapy. We report real-world data from the Center for International Blood and Marrow Transplant Research (>2.5 years of follow-up). As of 4 May 2022, 768 patients with B-ALL had received tisagenlecleucel. Patients aged ≥18 and < 18 years of age (including those < 3 years) were treated during first relapse (26.6% and 26.7% [< 3 years, 44.8%], respectively) or primary refractory disease (12.4% and 12.1% [< 3 years, 15.5%], respectively) with 17.6% and 11.6% (< 3 years, 13.8%), respectively, having high disease burden (≥50% bone marrow [BM] blasts) and 20.2% and 20.2% (< 3 years, 13.8%), respectively, having low disease burden (>0 to < 5% BM blasts). Among patients with ≥12 months postinfusion follow-up (n = 578; median follow-up, 32.1 months), the best overall response of complete remission/complete remission with incomplete blood count recovery was 86.0%. The 12-month relapse-free survival (RFS) and overall survival (OS) were 61.8% and 79.4%, respectively, whereas the 24-month RFS and OS were 50.3% and 63.8%, respectively. Age (< 18 years) and disease burden (< 50% BM blasts) were associated with better outcomes. Previous inotuzumab therapy and KMT2A rearrangement were associated with worse outcomes. Older patients (≥18 years) experienced a higher rate of any-grade cytokine release syndrome (CRS) associated with higher disease burden before infusion. Any-grade CRS and neurotoxicity were lower in patients aged < 3 years. Extended follow-up continues to demonstrate high rates of RFS and favorable safety in this population.

How Does County Industry Mix Matter For Working-Age Mortality?, Xue Zhang, Iliya Gutin, Shannon M. Monnat, Jennifer Karas Montez

Population Health Research Brief Series

The types of industries that dominate employment in a county shape the health of the entire community, even for people who don't work in those sectors. This brief summarizes findings of a study that examined how five major employment sectors—agriculture, manufacturing, mining and construction, services, and professional services—were associated with overall county-level mortality rates and with mortality from drug overdoses, suicides, alcohol-related causes, and cardiometabolic disease among U.S. adults ages 25-64 from 2000 to 2022 Data are from the National Vital Statistics System and County Business Patterns. Findings show that the effects of local industries shift vary across time and …

Economic Growth In Mountain West Cities, 2019-2023, Anirudh Polagani, Isabelle G. Graham, Olivia K. Cheche, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2019-2023 data on economic growth indicators in 32 Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CoworkingCafe report, “Rising Powerhouses: The Cities Making America’s Economic Future,” includes economic growth data for 269 cities across the United States. This fact sheet highlights data from select cities in each Mountain West state, categorized by population size: five large cities, eight mid-sized cities, and 19 small cities.

Unh Named To Princeton Review's Top 50 Green Colleges List, Unh Communications And Public Affairs

UNH Today Archive

No abstract provided.

Understanding Film Tax Credits In Nevada And Nationally, Michael J. Brown, David F. Damore, William E. Brown Jr.

Policy Briefs and Reports

This policy primer provides an overview of Nevada’s transferable tax credit program for film and other productions and reviews articles, reports, audits, and studies of film tax credits as a tool for economic development in the United States. This review considers a significant body of work analyzing the use of film tax credits in support of economic development. Studies and state audits often show that because film tax credits do not create the number and quality of full-time jobs necessary to merit their costs and do little to stimulate other related industries, they are a poor financial choice for state …

Face Recognition Using Optimized Multi-Task Cascaded Cnn In Artificial Intelligence Systems, Sami Abduljabbar Rashid, Mustafa Maad Hamdi, Salah Ayad Jassim, Lukman Audah, Baraa Saad Abdulhakeem, Mohammed Salah Abood, Ahmed Adil Nafea

Baghdad Science Journal

Improving the accuracy level of face recognition system is still an open research area where it consists of certain limitations to attain maximum accuracy. In earlier days, several algorithms are developed using machine learning and deep learning models, but still, they need improvement in terms of accuracy. For that purpose, in this article a novel CNN model called the optimized multi cascaded CNN (OPT-MTC-CNN) in the artificial intelligence system is developed, which helps to overcome the accuracy issues in face recognition system. The algorithms that are incorporated in this model are Fully Convolutional Network (FCN), Convolutional Neural Network (CNN), and …

Microplastic Pollution In Marine Ecosystems: Sources, Impacts, Andstakeholder-Based Solutions, Seren Acarer Arat

Turkish Journal of Biology

Microplastics (MPs) are plastic particles of anthropogenic origin with a size range of 1–5000 μm. Marine MP pollution is increasingly recognized as a significant global environmental challenge. MPs, which enter marine ecosystems from land- and marine-based sources, pose physical, chemical, and biological risks due to the adsorption of various pollutants and the formation of biofilm layers. MPs are found in various organisms from lower to higher trophic levels of the marine food web. The negative effects of MPs on marine organisms depend on their abundance, their characteristics, and the exposure time of organisms to MPs. MPs can adversely affect various …

Application Of Biological And Green Nanomaterials In Wastewater Treatment: Techniques For The Effective Removal Of Dyes, Heavy Metals, And Organic Pollutants, Emi̇ne Sena Kazan Kaya, Zeynep Ci̇ğeroğlu, Tansel Kemerli̇ Kalbaran, Başak Temur Ergan, Zeynep Mi̇ne Şenol, Meral Yildirim Yalçin

Turkish Journal of Biology

Background/aim: Wastewater from industrial, agricultural, and residential sources poses significant environmental and public health risks due to the presence of dyes, heavy metals, and organic pollutants. Conventional treatment methods are often inadequate for the complete removal of these pollutants. Therefore, the development of sustainable, environmentally friendly, and highly efficient treatment techniques has become increasingly important. The aim of this review is to evaluate the application of biological and green nanomaterials in wastewater treatment and to compare their effectiveness against different types of pollutants (dyes, heavy metals, and organics).

Materials and methods: This review provides detailed information on the removal of …

A Review Of Deep Learning Architectures For Plant Disease Detection​, Yasi̇n Kaya, Ercan Gürsoy

Turkish Journal of Biology

Background/aim: The rapid advancement of deep learning (DL) has revolutionized plant disease detection by enabling highly accurate, image-based diagnostic solutions. This review provides a comprehensive synthesis of DL-based methodologies for plant disease detection, systematically structured around the key stages of the modeling pipeline, encompassing data acquisition, preprocessing, augmentation, classification, detection, segmentation, and deployment.

Materials and methods: The review focuses on evaluating convolutional neural network (CNN) architectures such as VGG, ResNet, EfficientNet, and DenseNet across diverse experimental contexts. Classification strategies are categorized according to their integration of visualization techniques (e.g., saliency maps, Grad-CAM) to enhance model interpretability, emphasizing the pivotal role …

Green Carbon Dots In The Era Of Ai: Sustainable Synthesis, Intelligent Drug Delivery, Advanced Diagnostics, And Bioimaging, Emi̇ne Sezer, Fulden Ulucan Karnak, Si̇nan Akgöl

Turkish Journal of Biology

Background/aim: Green carbon dots (GCDs) are a rapidly developing class of nanomaterials that are revolutionizing various scientific disciplines due to their unique optical properties, low toxicity, and sustainable synthesis. This review offers a comprehensive roadmap for the field, emphasizing the synergy between GCDs and artificial intelligence (AI).

Materials and methods: We begin by detailing the sustainable synthesis of GCDs, highlighting green chemistry principles and the transformative role of AI in optimizing their production. Subsequently, we explore the critical characterization of GCDs, including their structural, optical, and biocompatibility assessment. The core of this study explores the diverse biomedical applications of GCDs, …

Applications Of Transfer Learning In Sunflower Disease Detection: Advances, Challenges, And Future Directions, Yonis Gulzar

Turkish Journal of Biology

Background/aim: Sunflower (Helianthus annuus) is a crop of high economic and nutritional importance that continues to suffer significant yield losses due to foliar diseases. Traditional image-based and laboratory detection techniques remain limited by subjectivity, cost, and scalability. Transfer learning (TL) has recently emerged as an effective approach to overcoming these challenges involving the reuse of pretrained deep models for plant pathology tasks. Presented here is a systematic examination of recent TL-based studies on sunflower disease classification to identify prevailing trends, research gaps, and future opportunities.

Materials and methods: A structured Scopus query was employed to retrieve peer-reviewed articles published between …

Flavonoids And Phenolic Compounds: A Promising Avenue For Neurodegenerative Disease Therapy, Tesli̇me Özge Şahi̇n, Özge Cemali̇, Merve Özdemi̇r, Şeri̇fe Ayten, Duygu Ağagündüz

Turkish Journal of Biology

Background/aim: Neurodegenerative diseases such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS are characterized by a progressive loss of nerve cells, for which no definitive cure currently exists. These conditions share common pathological mechanisms, including chronic neuroinflammation, oxidative stress, protein aggregation, and mitochondrial dysfunction. Flavonoids and other plant-derived phenolic compounds have recently attracted attention for the treatment of such conditions due to their antiinflammatory and antioxidant properties. This review explores the neuroprotective mechanisms of flavonoids and evaluates their potential for the prevention and treatment of neurodegenerative diseases.

Materials and methods: A literature search of the Web of Science, PubMed, and ScienceDirect databases …

Hsa_Circ_0001776 Regulates The Progression Of Acute Myeloid Leukemia Through The Mir-1269b/Pten Axis, Yaoyao Wang, Xiancong Yang, Simin Rong, Xiaoxu Lan, Chenhui Ti, Weimiao Sun, Baohui Yin, Youjie Li, Yunxiao Sun

Turkish Journal of Biology

Background/aim: Acute myeloid leukemia (AML) is a malignant neoplasm arising from bone marrow hematopoietic stem cells. It is a common subtype of childhood leukemia and remains challenging to cure. Emerging evidence suggests that circular RNAs (circRNAs), a class of noncoding RNAs, play key regulatory roles in tumor biology. Among their various functions, circRNAs often act as ‘sponges’ for microRNAs (miRNAs), modulating gene expression posttranscriptionally. This study investigates the functional role and clinical relevance of hsa_circ_0001776 in AML.

Materials and methods: Three AML cell lines and 22 peripheral blood samples were analyzed. Differential expression analysis of circRNAs in a GSE dataset …

The Effects Of The Combined Use Of Carbon Quantum Dots And Antibacterial Agents On Pathogenic Bacteria, Derya Doğanay, İbrahi̇m Serkan Avşar, Şevval Maral Özcan Aykol, Gamze Çamlik, Besa Bi̇lakaya, İsmai̇l Tuncer Deği̇m

Turkish Journal of Biology

Background/aim: This study evaluates the challenges associated with overcoming antimicrobial resistance and innovative approaches to combat multidrug-resistant (MDR) bacterial infections.

Materials and methods: Novel codoped carbon quantum dots (CCQDs) were synthesized using citric acid as the carbon source and L-cysteine as the nitrogen codoping atom. The formulation in which citric acid was retained was designated as CCQDs-1, whereas the purified version, from which citric acid was removed, was termed CCQDs-2. The antibacterial properties of CCQDs-1 and CCQDs-2 were compared using the agar well diffusion method. This study comprehensively characterizes these nanomaterials and evaluates their antibacterial potential, both alone and in …

Exploring Definitions And Frameworks Of Information Diplomacy: A Scoping Review Protocol, Bethany S. Mcgowan, Tuomas Harviainen

Libraries Faculty and Staff Scholarship and Research

Information diplomacy is an emerging concept that bridges information science, public diplomacy, and global communication. Although increasingly cited in scholarly and policy discourse, the term lacks definitional clarity and theoretical consensus. A systematic mapping of its explicit usage across disciplines is needed to support conceptual coherence and guide future applications.

This scoping review aims to identify, analyze, and synthesize existing definitions, frameworks, and applications of the term information diplomacy in scholarly and gray literature. The review will explore how the concept has been articulated across domains such as international relations, information policy, and communication, focusing exclusively on sources that explicitly …

Migration And U.S. Labor Market Effects Of The Mexican Drug War, Mark Borgschulte, Yuci Chen, Eduardo Medina-Cortina

Upjohn Institute Working Papers

We estimate the effect of the Mexican drug war on Mexico-to-U.S. migration and the resulting effects on population, employment, and wages in U.S. labor markets. Our empirical strategy compares U.S. counties differentially connected to Mexican municipalities through historical migration networks, using drug violence triggered by close municipal elections in 2007–2008 as a source of exogenous variation. Over the following decade, migrants fleeing the violence—the vast majority of whom are undocumented—cause native-born U.S. workers’ employment rates to increase and unemployment rates to fall, while wages do not change. Employment gains are largest for natives without a college degree. Employment effects fade …

Dramatic Biases In Terrestrial Nitrogen Fixation In Earth System Models Revealed By Natural Isotope Signatures, Maoyuan Fang, Shushi Peng, Philippe Ciais, Daniel S. Goll, Benjamin Z. Houlton, Ying-Ping Wang, Yilong Wang, Pan Liu, Joshua B. Fisher, Pierre Regnier

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Biological nitrogen fixation (BNF) is the primary input of new reactive nitrogen to natural terrestrial ecosystems. However, this flux is poorly constrained due to its unclear drivers and associated control mechanisms. Here, we extend the existing theory of nitrogen (N) isotope mass balance to estimate BNF rates and then use a Bayesian approach to constrain the BNF rates in natural terrestrial ecosystems by using measurements of natural N-isotope ratios (δ¹⁵N) in plants (δ_P) and soil (δ_S). Together with pairwise δ_P and δ_S measurements from 18 forest sites covering diverse climates and thousands …

Faculty Senate Executive Committee Minutes (10/28/2025), Csusb Faculty Senate

CSUSB Faculty Senate records

No abstract provided.

Complexity Measures For Self-Similar And Chemical Graphs Using Entropies And Generalized Fractal Dimensions, J. Bhuvaneswari, D. Easwaramoorthy

Baghdad Science Journal

Nonlinear analysis finds numerous applications in understanding the intricate characteristics of generalized Sierpinski graphs or chemical graphs. It aids in discerning the fractal patterns inherent in self-similar structures, deciphering the dynamic interactions within chemical bonds, and assessing the complexity of molecular arrangements. Furthermore, it plays a crucial role in unraveling the emergent behaviors of complex systems, offering insights applicable to diverse fields such as materials science, chemistry, biology, network theory, and beyond. In this paper, the complexity of generalized Sierpinski graphs and chemical graphs is analyzed using fractal-based nonlinear measures computed iteratively. Nonlinear measures assess intricate relationships within graphs by …

Lung Cancer Classification With High Accuracy Based On Enhanced K- Nearest Neighbor Algorithm, Ahmed Subhi Abdalkafor, Ali Azawii Abdul Lateef

Baghdad Science Journal

Lung diseases have newly increased, with lung cancer being the most serious, as a result of the widespread use of electronic cigarettes and the high demand for them among youth. Misdiagnosis of this disease has resulted in a high death rate around the world, which further complicates matters. So the researchers have tended to concentrate on and study this illness. After extracting the crucial characteristics for this cancer's classification, several studies implemented multiple artificial intelligence algorithms with different techniques, nonetheless, the primary difference between those studies persisted in the classification accuracy. In this paper, after selecting the methods of pre-processing …

Faculty Senate Agenda November 3, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes October 6, 2025
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:30 Information
• EPC Report - October 2, 2025
• 3:45 Report
• Athletics Council Annual Report
• Library Advisory Council Annual Report
• Academic Freedom and Tenure Annual Report
• 4:10 Old Business
• 4:15 New Business
• Adjourn: 4:30 pm

Factor Structure Of Food And Physical Activity Parenting Practices Among Us Fathers By Ethnicity And Survey Language: A Cross Sectional Study, Salma M A Musaad, Louise C Mâsse, Alicia Beltran, Oriana Perez, Teresia M O'Connor

Children’s Nutrition Research Center Staff Publications

Background: Parenting practices contribute to children’s eating and physical activity behaviors, and thereby their risk of obesity and associated medical conditions. Fathers may engage in different parenting practices than mothers. The objective of this study was therefore to establish psychometrically sound tools in English and Spanish for measuring Physical Activity Parenting Practices (PAPP) and Food Parenting Practices (FPP) for Hispanic and non-Hispanic fathers of diverse races for use in future studies, such as evaluations of family-based obesity interventions targeted at fathers.

Methods: We conducted a preliminary assessment of the psychometric properties of a reduced version of the PAPP and FPP …