Digital Commons Network^™

Predictive Analytics In Oncology And Ophthalmology: Machine Learning Applications For Diabetic Retinopathy And Breast Cancer, Ali Abidalkareem

Electronic Theses and Dissertations 2020 - Present

The convergence of artificial intelligence and healthcare represents one of the most transformative developments in modern medicine, with deep learning technologies emerging as powerful tools for addressing complex diagnostic challenges. This dissertation develops and validates machine learning frameworks that address critical challenges in medical diagnosis through innovative approaches to data augmentation, feature learning, and classification, focusing on two fundamental problems: Diabetic Retinopathy (DR) severity classification using multi-model convolutional neural networks (CNNs), and breast cancer stage identification using microRNA (miRNA) gene expression biomarkers. For diabetic retinopathy classification, this work proposes an ensemble deep learning framework that integrates Diffusion-based data augmentation for …

Integrating Multi-Source Data With Machine Learning Techniques To Upscale Wetland Carbon Dioxide Fluxes, Abdullah Sulaiman Abdullah Al Fazari

Electronic Theses and Dissertations 2020 - Present

Accurate quantification of atmospheric carbon dioxide (CO₂) fluxes in wetland ecosystems is essential for understanding their role in both regional and global carbon dynamics, particularly in the context of climate change. However, the spatial and temporal heterogeneity of wetlands presents major challenges for developing reliable upscaling models. This research developed and validated a comprehensive framework to upscale CO₂ fluxes across the Everglades National Park (ENP) and Big Cypress National Preserve (BCNP) in South Florida through the integration of multi-source datasets, including AmeriFlux eddy covariance (EC) tower measurements, NASA’s BlueFlux airborne CO₂ data, and multispectral satellite imagery from Landsat 8 OLI …

Trading Precarities: How Bangladeshi Freelancers Leverage The Digital Economy Amid Local Insecurity And Ai Disruption, Naim Bin Hasan

Electronic Theses and Dissertations 2020 - Present

This study examines how Bangladeshi freelancers use digital platform work to cope with precarious local labor markets and how this strategy both mitigates and reproduces insecurity. In this form of work, freelancers compete for short-term, skill-based remote jobs posted by global clients. Drawing on 30 in-depth interviews and virtual ethnography, this study challenges dominant Western understandings of the precariat that assume workers fall from stable employment into insecure work. Instead, the findings show that many freelancers enter platform labor strategically as a way out of already unstable and limited local opportunities. While freelancing carries a promise of foreign income, flexibility, …

The "Quiet Professionals": Oral Histories Of The United States Special Forces Veterans Of The Global War On Terror, Chase Rumbley

Electronic Theses and Dissertations 2020 - Present

This thesis examines how United States Army Special Forces veterans of the Global War on Terror narrate the identity of the "Quiet Professional" across training, deployment, and post-service life. Drawing on oral history interviews with four retired Green Berets, as well as archival and material culture analysis, the study approaches Special Forces as a distinctive military institution shaped by narrative, institutional formation, and war. It argues that Special Forces ethos is not a fixed warrior identity, but a lived and contested achievement produced through rites of passage, embodied hardship, informal legitimacy, and collective memory. Participants describe becoming Special Forces as …

Artificial Intelligence In Low-Dose Computed Tomography Lung Cancer Screening: Clinical Integration, Validation, And Translational Challenges, Valeria Vanessa Varela Betancourt, Archana Acharya, Nusrat Jahan, Udit Kapahi, Insharah Khalid, Syed Maaz Shah, Hassan Ibrahim, Bushra Nawaz, Shazma Shayan, Maia Valls Palacios Reese, Sheeza Nadeem, Manju Rai

Student Publications

Lung cancer remains the leading cause of cancer-related mortality worldwide, largely due to late-stage diagnosis. Low-dose computed tomography (LDCT) screening has demonstrated significant mortality reduction in high-risk populations; however, its widespread implementation is limited by high false-positive rates, inter-reader variability, and substantial workflow burden. Artificial intelligence (AI) has emerged as a promising adjunct to address these challenges by enhancing diagnostic consistency, efficiency, and risk stratification in LDCT-based screening. This narrative review aims to synthesize current evidence on AI methodologies, clinical applications, validation studies, and translational challenges in LDCT-based lung cancer screening. A structured literature search was conducted across PubMed, Scopus, …

Electroenzymatic Cascades For Nitrogen Upgrading: Beyond Ammonia Towards Value-Added Nitrogen Chemicals, Rohit G. Jadhav, Vamshi Krishna Kamaja, Wassim El Housseini, Monica Brachi, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

The global transition toward sustainable chemical manufacturing demands technologies that leverage natural carbon and nitrogen cycles while minimizing reliance on sacrificial reagents and fossil resources. These biogeochemical cycles are fundamental to life, and enzymes catalyze many of their key transformations. Bio electrochemical, specifically electroenzymatic, systems offer a promising route to sustainable synthesis by enabling selective redox transformations powered by electricity. However, whereas carbon-cycle enzymes are now well established in bio electrochemical synthesis, enzymes from the nitrogen cycle remain comparatively underexplored. Moreover, the nitrogen cycle alone does not access many value-added nitrogen-containing products, which require additional C-N bond formation and organic …

Feasibility And Utility Of A Tablet-Based Digital Neurocognitive Assessment Following Radiosurgery For Brain Metastases, Eyub Akdemir, Joseph Distefano, Thailin Companioni Reyes, Yazmin Odia, Robert Press, Matthew Hall, D. Jay Wieczorek, Yongsook Lee, Ranjini Tolakanahalli, Alonso Gutierrez, Michael Mcdermott, Minesh Mehta, Rupesh Kotecha

All Publications

Neurocognitive decline (NCD) is a significant concern for patients with brain metastases, yet traditional paper-based assessments are often burdensome. This prospective cohort study evaluated the feasibility and outcomes of a tablet-based digital neurocognitive battery in patients with prior stereotactic radiosurgery (SRS). Data were analyzed from an institutional prospective registry (NCT05504681) including 41 adults with prior SRS. Patients were stratified into a high-risk group (undergoing repeat SRS for progression) and a low-risk group (surveillance only). Neurocognitive function was assessed using the “Cognition” tablet-based platform. NCD was defined as significant deterioration in at least 1 test at 3 months using …

Generation Mechanisms Of Mountain-Wave Turbulence In The Upper Troposphere And Lower Stratosphere Over Alaska, Yewon Shin, Jung-Hoon Kim, Robert D. Sharman, Teddie L. Keller, Stanley B. Trier, Hyeyum Hailey Shin, James D. Doyle, Seung Hee Kim

Institute for ECHO Articles and Research

Generation and evolution mechanisms of mountain-wave turbulence (MWT) encountered by an aircraft in the upper troposphere and lower stratosphere (UTLS) over the mountainous region of Alaska were investigated using high-resolution numerical simulations with four nested domains (Δx = 9, 3, 1, and 0.2 km). In domain 3, large-amplitude mountain waves were generated by strong cross-barrier flow associated with an intense cyclone. The positive vertical wavenumber squared and the absence of a critical level supported vertical propagation of these waves. However, they broke near the tropopause and within the negative vertical wind shear, with an abrupt change in their vertical …

From Beauty To Burden: Mapping The Health And Psychosocial Impacts Of Fragrances And Cosmetic Products Use In The Uae, Sharifa Alblooshi, Mariam Al Ali, Dana N. Abdelrahim, Suheir Awadalla

All Works

Background The dynamic beauty care sector in the Middle East is on an upward trend in the UAE; however, concerns persist about the side effects of this industry, attributed to chemical exposure, which is believed to contribute to skin problems and other health issues. In the UAE, there is a lack of data on consumer usage, awareness, and the health effects associated with it.Methods This study presents the results of an online survey administered to 461 female subjects in the United Arab Emirates as part of a cross-sectional study. The survey consisted of 55 questions on product use, knowledge, attitudes, …

Modeling The Combined Effects Of Forest Fire And Climate Change On Snow-Water Storage In The Oregon Cascades, Joseph D. Vigil

Dissertations and Theses

Forest fire and climate change are reshaping the snow hydrology of the Pacific Northwest of the United States, yet the combined effects of these disturbances on snow accumulation, storage, and melt timing remain poorly quantified in these Mediterranean mountain watersheds. This study integrates field-based snow and radiation observations with physically based modelling to evaluate how postfire forest structure, postfire snow albedo decay, and future climate change influence snow-water storage in the Breitenbush watershed of the western Oregon Cascades. This work was conducted as part of a broader U.S. Army Corps of Engineers effort to improve postfire hydrologic prediction and flood …

Top Management Team (Tmt) Demographic Characteristics, Remuneration And Esg Performance In China, Liu Huajie

Student Works (2020-2029)

Environmental, Social, and Governance (ESG) performance has emerged as more prominent in the contemporary business environment, serving as a non-financial key performance indicator besides classical financial indicators. Among the factors influencing ESG performance, the top management team (TMT) demographic characteristics have become an important determinant. Drawing on Upper Echelons Theory (UET), this study explores how the demographic characteristics of the top management team, specifically diversity in gender, age, and functional background, as well as the degree of professionalism indicated by the level of educational background influence firm ESG performance. Furthermore, it examines the moderating effect of TMT remuneration on these …

Severe Autoimmune Digital Vasculopathy In Systemic Sclerosis With Lupus- And Antiphospholipid-Spectrum Serologic Positivity And Libman–Sacks Endocarditis: A Case Report, Mayada F. Bawayan, Thekra A. Alwafi, Abdulaziz F. Samandar, Abdulaziz M. Gari

Saudi Toxicology Journal

Background: Systemic sclerosis (SSc) is an autoimmune connective tissue disease characterized by prominent vasculopathy, which may lead to severe digital ischemia and ulceration. The coexistence of SSc-related vasculopathy with lupus- and antiphospholipid-spectrum manifestations, including Libman–Sacks endocarditis, is uncommon and poses diagnostic and therapeutic challenges. Case Presentation: We report a 37-year-old female with a systemic sclerosis phenotype and overlapping lupus- and antiphospholipid-spectrum features, who presented with severe bilateral digital ischemia and ulceration. Investigations revealed active autoimmune disease with inflammatory, immunologic, and vascular involvement, along with Libman–Sacks endocarditis. Imaging excluded large-vessel occlusive disease. The patient was treated with targeted vasodilator therapy and …

Herpes Simplex Virus Type 1 R-Loops Are Targets For Apobec-Mediated Mutagenesis, Márton Miskei, Dóra Varga, Lilla Hornyák, Éva Sipos, Éva Nagy, Qiuzhen Li, Zsolt Karányi, Zoltán Szabó, Rachel Deweerd, Abby M Green, Dávid Szüts, Eszter Csoma, Lóránt Székvölgyi

2020-Current year OA Pubs

APOBEC3 enzymes are key effectors of antiviral immunity that introduce mutations into viral genomes. We show that viral R-loops serve as preferred substrates for APOBEC3-mediated mutagenesis during herpes simplex virus type 1 (HSV-1) infection. APOBEC3 enzymes are recruited to viral R-loops, generating clustered C-to-T mutations in genes critical for viral assembly. Importantly, R-loops alone are not mutagenic, and APOBEC3 enzymes do not edit HSV-1 without an R-loop; mutagenesis occurs when R-loops and APOBEC3 enzymes interact. These findings identify endogenous R-loops formed during the HSV-1 life cycle as focal vulnerabilities and highlight R-loop-APOBEC3 coupling as a mechanism for antiviral mutagenesis.

Bate-Papo | Portuguese Language Conversation Hours, Language Learning Center

LAII Events

Come practice your Portuguese language skills and enjoy Brazilian food and culture with friends!

The Effects Of Dietary Protein Manipulation On Operant Demand, Brianna R. Lilly

LSU Master's Theses

Previous work with dietary protein restriction in rodents has demonstrated that rodents fed a low protein diet exhibit physiological effects such as lower rates of weight gain and increased levels of circulating fibroblast growth factor 21 (FGF21). Dietary protein restriction also produces behavioral effects. Compared to rodents that are not protein-restricted, rodents that are protein-restricted exhibit increased food intake and higher preference for a protein vs. carbohydrate solution. Additionally, protein-restricted rodents will respond at higher levels for a protein reinforcer than non-restricted rodents. The current study assessed the effect of dietary protein restriction on operant protein demand during and after …

Spartan Daily, April 14, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 32

Holocaust Remembrance Day, Jewish Law Students Association (Jlsa), Jewish Grad Organization (Jgo)

2025–2026 Flyers

Join us to hear survivor Sally Muschel's story.

Knowledge, Attitude And Practice Towards Sarcopenia Among Diabetic Patients Attending Outpatient Department Of A Tertiary Care Centre In Kerala, India, Vysakh Ts, Ajas Sn, Asha Raby N

Muthanna Medical Journal

Background: Sarcopenia is a progressive skeletal muscle disorder increasingly seen in individuals with diabetes, leading to functional decline and poor quality of life. Despite Kerala's high diabetes burden, sarcopenia remains underrecognized. This study assessed knowledge, attitude, and practice (KAP) regarding sarcopenia among diabetic patients and examined inter-domain relationships. Methods: A 6-month institutional cross-sectional study was conducted in the Family Medicine outpatient department of St. Joseph's Hospital Trust, Kochi. Using consecutive sampling, 154 diabetic patients (type 1 or 2) aged ≥ 40 years were enrolled. Data were collected using a pilot-tested questionnaire covering sociodemographic and clinical details, knowledge (12 items), attitude …

Prevalence And Clinical Significance Of Anti-A And Anti-B Haemolysins In Group O Voluntary Blood Donors: A Cross-Sectional Laboratory-Based Study From South India, Resmi T Mony

Muthanna Medical Journal

Background: Group O blood donors are considered universal red-cell donors due to the absence of A and B antigens on erythrocytes. However, their plasma contains naturally occurring anti-A and anti-B isoagglutinins, which may exhibit complement-mediated haemolytic activity. Transfusion of plasma-containing components from such donors to non-O recipients-especially platelets or large plasma volumes—can result in passive haemolytic transfusion reactions. Data on the prevalence of high haemolytic potential in South India remain limited. Methods: This observational cross-sectional laboratory-based study was conducted from November 2017 to November 2019 at the blood bank of Sree Gokulam Medical College, Thiruvananthapuram, Kerala. A total of 106 …

Enhanced Dietary Monitoring Using Fecal Genomics For Childhood Malnutrition Interventions, Ammara Aqeel, Najeeha T Iqbal, Sanam Iram Soomro, Sheraz Ahmed, Teresa K Mcdonald, Olivia Osborne, Sharon Jiang, Nolan Ives, Kazi Ahsan, Fayaz Umrani, Michael J Barratt, Jeffrey I Gordon, Syed Asad Ali, Lawrence A David

2020-Current year OA Pubs

Ready-to-use therapeutic and supplementary foods (RUTF/RUSF) are a primary treatment for childhood malnutrition in Community Management of Acute Malnutrition (CMAM) programs. However, measuring intervention compliance is labor intensive and unreliable. We applied FoodSeq, a fecal genomic dietary assessment biomarker, in malnourished infants (3-15 months) from Matiari, Pakistan. FoodSeq identified a significant increase in the abundance of DNA from chickpea, a primary RUSF ingredient, during RUSF administration and captured region-specific complementary feeding practices, including age-inappropriate feeding practices such as wide-spread tea consumption. Our findings highlight the potential of dietary genomics as an empirical and scalable tool for compliance monitoring and dietary …

Synthetic Lethality Of Decitabine Plus Atr Inhibition For Tp53-Mutated Aml, Jeremy T Baeten, Sumedha Agashe, Imene Tabet, Jack T Wooldridge, Amber Carter, Jamie N Butler, Christopher A Miller, Nicole Helton, Annabel Quinet, Kimberly B Johansson, Yichan Yang, Geoffrey L Uy, Alessandro Vindigni, Daniel C Link

2020-Current year OA Pubs

TP53 mutations are found in 10% to 15% of myeloid neoplasms and are associated with a dismal prognosis. Although hypomethylating agents (HMAs), such as decitabine, are active in TP53-mutated myeloid neoplasms (TP53-MN), mutation clearance is rarely complete and nearly all patients relapse. Molecular determinants of response to HMAs in TP53-MN are poorly understood. Here, we show that decitabine induces replicative stress with decreased replication fork progression, induction of single-strand DNA breaks, and activation of the ataxia telangiectasia mutated-Rad3-related (ATR) pathway. Resolution of decitabine-induced replication stress is impaired in TP53-mutated acute myeloid leukemia (AML) cells, representing a potential therapeutic vulnerability. Indeed, …

From Slides To Chatbots: Ontology-Driven Pedagogical Knowledge Graphs, Zhenghao Xu, Boyang Wu, Aishani Sakalabhaktula, Anya Chauhan

Information Studies Undergraduate Works

Retrieval-Augmented Generation (RAG) combined with Large Language Models (LLM) is increasingly used to develop conversational educational chatbots. However, general-purpose LLMs, even when augmented with standard RAG pipelines, lack the structural grounding needed for educational contexts and may produce responses that exceed course scope, misinterpret student queries, or generate hallucinated content. To address these limitations, we propose a system that integrates Knowledge Graphs (KGs), RAG, and LLMs to build a reliable, explainable, and personalized learning assistant. By grounding responses in a well-defined KG, our system keeps answers aligned with lecture content while reducing hallucination. The graph structure provides inherent explainability, and …

Dalam Rangka Pembangunan Ekonomi : Sudah Saatnya Ahli Hukum Lebih Berperan, Hendarmin Djarab

Jurnal Hukum & Pembangunan

Abstract

Perjanjian-Perjanjian Internasional Indonesia Mengenai Perlindungan Penanaman Modal, Prof. Dr. Mr. S. Gautama

Jurnal Hukum & Pembangunan

Abstract

Kedudukan Hukum Pidana Adat Dalam Hukum Pidana Nasional (Sumbangan Pemikiran Bagi Pembentukan Kuhp Nasional), I. Sriyanto

Jurnal Hukum & Pembangunan

Abstract

Kebijakan Yang Diperjanjikan (Beleidosovereenkomst), H.M. Laica Marzuki

Jurnal Hukum & Pembangunan

Abstract

Lembaga Swadana Sebagai Model Pengelolaan Keuangan Negara, Arifin P. Soeria Atmadja

Jurnal Hukum & Pembangunan

Abstract

Feasibility Of Digital Environment In Al-Madinah Al-Munawaroh Schools And Teachers Attitudes Towards It, Khaled Muraya Alqahtani

University of Bisha Journal for Educational Sciences

This study aimed to identify the availability of a digital environment in Madinah schools and teachers’ attitudes towards it. The study employed a descriptive-analytical approach using a questionnaire, one of the most widespread and commonly used research tools across various scientific fields. It is more effective in terms of saving time and reducing costs, and it allows for data collection from a larger number of individuals compared to other methods. A simple random sampling of 213 male and female secondary school teachers in Madinah was selected to represent the study sample. The study’s findings indicate that the digital environment in …

Forms Of Bullying That Affect The Academic Achievement Of Eighth-Grade Students According To Data From The Timss 2023 International Study: A Comparative Study Of Saudi Arabia, Japan, And Finland, Dr. Ali Hamoud Alharbi

University of Bisha Journal for Educational Sciences

This research aimed to identify the most common forms of bullying experienced by eighth-grade students, according to data from the TIMSS 2023, and those with the greatest impact on academic achievement, in Saudi Arabia, Japan, and Finland. The sample included all students who participated in the TIMSS 2023 study, totaling 15,667 students. The descriptive method, employing both causal-comparative and correlational approaches, was used to achieve the study’s objectives. The results showed that the most common form of bullying in Saudi Arabia, Japan, and Finland was “listening to hurtful things about one’s appearance,” with rates of 35.5%, 12.1%, and 24%, respectively. …

Requirements For Developing A Knowledge Economy At Majmaah University, Dr. Nada Khalid Hamad Al-Sayyari

University of Bisha Journal for Educational Sciences

The current study aimed to identify the requirements for developing the knowledge economy at Majmaah University from the perspective of faculty members, focusing on six key areas: (strategic leadership requirements, teaching and learning requirements, research and innovation requirements, partnership and community outreach requirements, infrastructure and technology requirements, and human capacity development requirements). To achieve the objectives of the study, the researcher adopted a descriptive approach using a survey method and used a questionnaire as a data collection tool. The study concluded with results that revealed a hierarchical order of requirements for the development of the knowledge economy according to the …