Digital Commons Network^™

Geochemical Characteristics And Genesis Of Element Enrichment Of Niobium-Rich-Rare Earth Metal Layer In Longtan Formation Of Zhina Coalfield, Ding Yunlong, Wang Fangfa, Li Bi, Tang Lifang, Yang Yi, Li Shangyuan, Wang Xiaofang, Zou Yinhong, Wang Yang

Coal Geology & Exploration

Background With the increasing demand for strategic metals and the gradual depletion of traditional metal deposit resources, coal and coal-bearing rock series are considered to be potential sources of rare metals, and coal series associated has become one of the main directions of current mineral exploration. A set of coal measure strata rich in niobium (Nb) and rare earth elements (REE) has been found in Zhina coalfield, western Guizhou and the contents of Nb and REE are as high as 334.89 μg/g and 1014.51 μg/g, respectively. This discovery is of great significance to the theoretical study of coal measure metal …

Advances In Research On The Activation And Recovery Of Strategic And Critical Valuable Metals From Coal Fly Ash, Wang Yuhao, Dong Zhongbing

Coal Geology & Exploration

Background Coal fly ash, a bulk solid waste byproduct from coal-fired power generation, has a global annual output exceeding 0.75 billion tons. Its disordered piling poses severe environmental risks, such as the generation of heavy metal leachate and PM_2.5 emissions. However, coal fly ash is rich in aluminum (Al 100‒200 mg/g), gallium (Ga 10‒300 μg/g), lithium (Li 1 300‒3 700 μg/g), and rare earth elements (REEs 200‒800 μg/g), establishing it as a potential alternative resource of strategic metals. Methods By analyzing the current domestic and international technologies for metal recovery from coal fly ash, this study expatiates on the …

The Association Between Malnutrition And Gingivitis Among Residents In St. Louis, Missouri, Alyssa Detrick

Walden Dissertations and Doctoral Studies

Malnutrition and gingivitis are common diagnoses in primary medical and dental care. The purpose of this quantitative study was to understand the association between malnutrition and gingivitis among residents in St. Louis, Missouri. The study was based on the social ecological model (SEM). The cross-sectional design involved secondary data (N = 2,553) from a Federally Qualified Health Center in St. Louis, Missouri that included de-identified patient demographic and diagnosis information of St. Louis City residents with a medical and dental visit in 2024. This study examined the relationship between malnutrition and gingivitis while controlling for ethnicity, preferred language, race, and …

Rethinking The Red Zone: Risk Factors Of College Student Dating Violence Victimization During The Fall Semester, Alexandra Nicoletti

Theses and Dissertations

College students experience dating violence (DV) victimization at alarmingly high rates, which is associated with a variety of negative outcomes (Brewer & Thomas, 2019; Choi et al., 2017; Leemis et al., 2022). To implement effective prevention programming, it is important to understand the risk factors associated with DV victimization on college campuses. Further, college students report the highest rates of one type of DV victimization—sexual victimization—during the fall semester, also known as the “red zone” (Carey et al., 2018, Cranney, 2015). This study utilized the socioecological model to understand which individual-, relationship-, and community-level risk factors were associated with DV …

Development Of Novel Small Molecules As Potential Anti Cancer Agents, Robert John Chitren

Theses and Dissertations

This doctoral thesis explores the discovery and characterization of two novel small molecules, designated as KS100 and (R,S’)-MNF, with potential anti-cancer properties. The study encompasses a comprehensive investigation into the molecular mechanisms underlying the anti-cancer effects of these compounds, as well as their therapeutic potential in preclinical models. These findings highlight the potential of KS100 and (R,S’)-MNF as lead candidates for cancer therapy, paving the way for further preclinical development and clinical translation.

The Association Of Smoking, Education, And Income Level With Cancer In Mexican Migrants At The U.S./Mexico Border, Carlo Opont

Walden Dissertations and Doctoral Studies

Cancer is a major public health problem in the United States and around the world. The condition is reported to be among the leading causes of death and has a significant impact on quality of life. The purpose of this study was to explore the association of smoking, education, and income level with cancer in the Mexican migrant population at U.S./Mexico border while controlling for age and gender. This quantitative, retrospective, cross-sectional study with a sample size of 988 used secondary data from the Mexican Migrant Project to explore the potential association between smoking, education and income level with cancer …

Hepcidin, Incident Heart Failure, And Cardiac Dysfunction In Older Adults: The Aric Study, Iman A F Aboelsaad, Brian L Claggett, Victoria Lamberson, Pranav Dorbala, Kunihiro Matsushita, Pamela Lutsey, Bing Yu, Brandon W Lennep, Youssef M K Farag, Amil M Shah, Leo F Buckley

Faculty, Staff and Student Publications

Aims: Hepcidin regulates plasma and tissue iron levels. We studied the association of hepcidin levels with the risk of incident heart failure (HF) and cardiac dysfunction in older adults.

Methods and results: We included adults from the ongoing, longitudinal Atherosclerosis Risk in Communities (ARIC) study, who were free from prevalent anaemia and HF at Visit 5 (2011-13) and had available hepcidin and covariate data. Associations of plasma hepcidin levels with overall adjudicated incident HF, HF with reduced ejection fraction (HFrEF), and HF with preserved ejection fraction (HFpEF) were assessed using multivariable Cox proportional hazards regression models. Cross-sectional associations of hepcidin …

Genome Sequence Of Lacticaseibacillus Paracasei G277-1.1, A Clinical Strain That Forms Enhanced Biofilms With Streptococcus Mutans, Xiaochang Huang, Hemendra Pal Dhaked, Yihong Li, Zezhang T. Wen

School of Dentistry Faculty Publications

Lacticaseibacillus paracasei G277-1.1 was isolated from dental plaque of a patient with severe early childhood caries. It forms synergistic biofilms with Streptococcus mutans in vitro. Here, we report its high-quality genome sequence, revealing insights on its inter-species interaction with S. mutans.

Intouch Week Of August 25, 2025, New York Medical College

InTouch

• Enhancing Campus Operations
• Celebrating NYMC and Metropolitan Hospital
• New Speech-Language Pathology Students Begin Their Academic Journey
• Historical Hahnemann Hospital Clock Adorns Sunshine Cottage Lobby
• Psoriasis and Cardiovascular Disease Link Not Clearly Recognized by Patients
• Student Spotlight: SOM Student Helps Develop Innovative Anesthesia App for WMC Residents

Epidemiological-Based Study Of Sars-Cov-2 In Faisalabad, Sana Ullah, Muhammad Waseem Khan, Qurat-Ul- Ain, Khushbu Farva, Niaz Muhammad Khan, Hayat Ullah

Biological Engineering Student Research

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) raced around the world across different populations; there needs to be a consolidated effort to understand the divergence of the epidemiology of SARS-CoV-2. Population-based epidemiological characteristics studies measure the extent of SARS-CoV-2 infection in a country. The current research study was designed to report epidemiological data from Pakistan. For this purpose, 246 SARS-CoV-2-infected patients were included in the study. For SARS-CoV-2 confirmation, viral samples were collected from all the study participants; SARS-CoV-2 infection was confirmed by viral nucleic acid detection using a nucleic acid detection kit. After SARS-CoV-2 confirmation, all the study participants …

August 25, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Moving At Warp Speed Toward Developing The Cyborg Soldier, James Giordano, Diane Dieuliis

Strategic Insights

This commentary examines how rapidly advancing technologies are reshaping the future of the military warfighter. The convergence of artificial intelligence, neurotechnology, biotechnology, and human-machine interfaces is moving defense innovation toward enhanced or “cyborg” soldiers capable of improved performance, endurance, and decision-making. While these developments promise operational advantages, they also raise serious ethical, legal, and strategic concerns. Questions about autonomy, vulnerability to cyber manipulation, long-term health effects, and international norms must be addressed before such capabilities become widely deployed. The article argues that technological momentum should not outpace governance and doctrine. To ensure responsible innovation, policymakers must develop clear oversight mechanisms …

Identification, Abundance, And Behavior Of North American Bobcat (Lynx Rufus) Along Road Mitigation Structures Designed For Endangered Species In South Texas, Victoria Hanley, Kevin W. Ryer, Md. Saydur Rahman, John H. Young Jr., Richard J. Kline

School of Integrative Biological & Chemical Sciences Faculty Publications

Endangered species are increasingly used as the target species in implementing and constructing new wildlife crossing structures (WCS). Highways in South Texas fragment the landscape and result in high road mortality for endangered species such as ocelots (Leopardus pardalis, a medium-sized spotted wild cat). In response, the Texas Department of Transportation constructed nine WCS on Farm-to-Market 106 (FM 106), a road which bisects Laguna Atascosa National Wildlife Refuge in Cameron County, Texas. With ocelots being rare and elusive, bobcats (Lynx rufus) are often used as a surrogate species to study felid behavior at road mitigation structures …

Mri-Guided Focused Ultrasound Thalamotomy For Neuropathic Pain In An Adolescent With Cranial Metastases: Illustrative Case, Sarah G Van Winkle, Danika L Paulo, Ashwin Viswanathan, Daniel Curry, Nisha Gadgil

Faculty, Staff and Students Publications

Background: Neuropathic cancer pain (NCP) is a debilitating condition that is often refractory to conventional medical management. MRI-guided focused ultrasound (MRgFUS) central lateral thalamotomy (CLT) is an incisionless neurosurgical option for neuropathic pain palliation, but its use in pediatric patients and those with cranial metastases, a relative contraindication to MRgFUS, remains largely unexamined.

Observations: A 16-year-old male with metastatic rhabdomyosarcoma (RMS) with numerous cranial metastases experienced severe, diffuse, refractory NCP. The patient underwent bilateral CLT with MRgFUS. After the procedure, the patient experienced complete and durable resolution of his neuropathic pain. He only reported occasional somatic pain at sites of …

Trans* Student Experiences In Higher Education, Megan Chaffee, Deborah King

New York Journal of Student Affairs

This paper reviews literature on trans* students' experiences in higher education, examining their obstacles and institutional approaches to inclusion. The study investigates challenges regarding chosen names and pronouns, access to facilities, extracurricular involvement, and the impact of increasing anti-trans* legislation. Despite growing visibility, trans* students continue to report harassment, discrimination, and a decreased sense of belonging. The paper explores current Title IX interpretations and recommends that higher education administrators develop inclusive policies, enhance professional development, and create supportive campus environments that foster trans* students' academic success and overall well-being.

Heterogeneity Of Molecular Subtypes In Multifocal And Multicentric Breast Cancer, Anna M. Schmitz

Research from the Berry Summer Thesis Institute, 2025

Multifocal and multicentric breast cancers (MMBC), commonly referred to as multiple synchronous ipsilateral breast cancers, are heterogeneous diseases. There is a high degree of diversity between and within the tumors of a MMBC-bearing patient. Tumor heterogeneity can describe multiple features, such as morphological and molecular profiles. Knowledge about a patient's tumor heterogeneity can be used to determine a prognosis and treatment plan. However, transferring our growing knowledge of heterogeneity in MMBC into a clinical setting remains a challenge due to the large degree of diversity between tumor microenvironments and the cancer cells that tumors are composed of. This review article …

Crossroads Of Covid-19 And Alzheimer’S: Investigating Sars-Cov-2 Nsp6 And Orf7a In Amyloid-Β42 Toxicity, Jeffrey William Huettemann, Amit Singh

Research from the Berry Summer Thesis Institute, 2025

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in several hundred million contracted cases of coronavirus disease 2019 (COVID-19) and a global pandemic. In some of these cases, previous neurological diseases, such as Alzheimer’s disease (AD), seemed to progress much more rapidly after the COVID-19 infection. Thus, we became interested in studying the effects of SARS-CoV-2 infection on prior neurological disease progressions.

To modulate this condition, we used Drosophila melanogaster as a genetic model system. We had previously developed the Alzheimer’s Disease Fly Model with expression of human amyloid beta 42 (Aβ42) peptide, which is responsible for extracellular Aβ-42 …

Interdisciplinary English Language Arts And Tesol Education To Advance Academic Achievement Of Immigrant, Refugee, And Urban Students, Elizabeth G. Krahe

Research from the Berry Summer Thesis Institute, 2025

By 2043, the United States is projected to become an official “plurality” in which the non-Hispanic White alone population will comprise less than 50% of the nation’s total population (Devine and Ortman, 2014). Schools are reflecting this demographic shift as they are more diverse culturally and racially. Yet the teaching population remains predominantly White middle class females. Teachers need to find ways to engage with all of their students to promote excitement in the classroom to joyfully learn. Reading and writing are central to education and are naturally found in all subject areas to be tied to academic achievement.

This …

A Mini Review On Rodent Models Of Autism Spectrum Disorder (Asd), Rachel Zeller

Research from the Berry Summer Thesis Institute, 2025

Autism spectrum disorder (ASD) is a neurodevelopmental disorder typically diagnosed at a young age. ASD symptoms include deficits in social behavior, repetitive and restrictive behaviors, anxiety, as well as alterations in sensory gating and sensitivity, learning, memory, and attention performance. Since ASD emerges from a combination of genetic and environmental factors, clinical treatment of these conditions presents with challenges. Being able to model behavioral and neurobiological aspects of this disorder at the preclinical level using rodents allows for further investigation of the pathophysiological basis of this disorder. This mini review will focus on selected genetic and pharmacological rodent models of …

Simulating Chemiluminescence Spectra Of Oh Radical Using Quantum Dynamical Simulations, Triet M. Cao

Research from the Berry Summer Thesis Institute, 2025

Chemiluminescence is a phenomenon of light emission that occurs when molecules transition from an excited state to the ground state. This phenomenon is widely utilized in applications ranging from quantifying product yields in chemical reactions to biological imaging and atmospheric chemistry studies. It has also been used in many crucial applications in the scarce conditions of heat and electricity, such as light sources for astronomy discovery or deep-sea diving. A notable example of such reactions is combustion, where highly reactive hydroxyl radicals (OH) are products. These radicals exhibit a chemiluminescence spectrum because of the interaction between their ground state and …

Co-Culture 3d Model For Breast Cancer, Anh Duc Nguyen

Research from the Berry Summer Thesis Institute, 2025

The ability to replicate the tumor microenvironment using 3D models have allowed researchers to study the tumors in vitro closer to their in vivo counterparts without the drawbacks of those models. The 3D co-culture model is an improved version of the 3D monoculture model, capable of replicating the tumor microenvironment, letting researchers study cancer response mechanism, tumor metastases, drug resistance, simulate cell-cell interactions, etc., in breast cancer. The models can be classified into four classes based on their formation method and content, all of which have different advantages and disadvantages.

Evaluating The Environmental Determinants Of Tadpole Mouthpart Deformities, Nicholas J. Canfield

Research from the Berry Summer Thesis Institute, 2025

Amphibians are among the most threatened group of animals on the planet, with over 40% of living species facing an extinction risk. These organisms are highly sensitive to environmental change due to their highly permeable skin and complex life cycle that exposes them to stressors in both aquatic and terrestrial ecosystems. Amphibian populations that are closely monitored can serve as valuable bioindicators of environmental health because they typically respond rapidly to habitat degradation, decreased water quality, and changes in climate. Tadpoles in particular may act as a “canary in a coal mine” for aquatic ecosystems because they easily develop anatomical …

Urinary Metabolome Study For Monitoring Prostate Cancer Recurrence Following Radical Prostatectomy., Sabur Badmos, Elizabeth Noriega Landa, Kiana L. Holbrook, George E. Quaye, Xiaogang Su, Wen-Yee Lee

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND/OBJECTIVES: Prostate cancer (PCa) is the most common cancer among males. Approximately 20-40% of patients with clinically localized PCa will present with a biochemical recurrence after a radical prostatectomy (RP), while some will present with recurrent metastasis. Monitoring the disease post-treatment is crucial for detecting a potential cancer recurrence early. Urinary volatile organic compounds (VOCs) have shown potential to detect PCa. However, their application in disease monitoring remains unexplored.

METHODS: A total of 165 urine samples were collected from male adults with biopsy-designated PCa-positive results before (n = 55) and after a RP (n = 55), and with …

An Investigation Of Hydro-Morphological Changes At The Estuarine Outlet Of Kitchener Drain, Northern Coast Of Egypt, Nada Mansour, Karim Nassar, Mahmoud El-Gamal, Tharwat Sarhan

Mansoura Engineering Journal

In recent years, sedimentation and coastline erosion have occurred in the Kitchener Drain, where its outflow meets the Mediterranean Sea. Several measures have been taken to mitigate the impact of these problems. Excavation continues toward the drain's outlet, and there have been multiple stages of hard protection work, such as groins along the drain's eastern and western banks. What would happen if the working near the drain was kept, where accretion and erosion are most severe. The Coastal Modelling System (CMS) was used to find it out. The two-dimensional hydrodynamic circulation model known as the CMS is outfitted with modules …

A Comparison Of Diving Behavior Of Goose-Beaked And Dense-Beaked Whales From Tagging Studies In Multiple Ocean Basins, Jay Barlow, Robin W. Baird, Janelle Badger, Gregory S. Schorr, Erin A. Falcone, Shannon N. Coates, Peter L. Tyack, Andrew J. Read, Leigh S. Hickmott, John W. Durban, Diane Claridge, Natacha Aguilar De Soto, Daniel Miranda Gonzalez, Fleur Visser, Machiel G. Oudejans, Stacy L. De Ruiter, David A. Sweeney, Brenda K. Rone, Stephanie L. Watwood

University Faculty Publications and Creative Works

Studies of cetacean diving behavior in multiple locations in different ocean basins allow for an assessment of variability within and among populations. We examine foraging dive behaviors of goose-beaked whales (Ziphius cavirostris) and dense-beaked whales (Mesoplodon densirostris) using data from 132 tagged whales in seven locations in the Pacific and Atlantic Oceans and the Mediterranean Sea. Acoustic recording tags are used to identify foraging dives by the presence of echolocation. For other tag types, foraging dives are identified based on maximum dive depth. Five parameters are used to characterize foraging dives: maximum dive depth, foraging dive duration, dive cycle duration, …

Astrocytes Expressing Mutant Hnrnpa1 Induce Non-Cell-Autonomous Motor Neuron Death, Qinxue Wu, Xionghao Liu, Tingting Zhang, Shiquan Cui, Bo Huang, Cao Huang, Qilin Cao, Xu-Gang Xia, Hongxia Zhou

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Pathogenic mutation of heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) is causative to amyotrophic lateral sclerosis (ALS). Neuron death resulting from pathogenic hnRNPA1 may not require its presence across all pertinent cells types, including neurons, glia, and muscles. Rather, the exclusive presence of pathogenic hnRNPA1 in a specific cell type, such as astrocytes, may suffice to substantially alter cellular functions. Consequently, this alteration initiates abnormal interaction within intricate neuron-glia networks, culminating in non-cell-autonomous motor neuron death. To investigate the pivotal role of non-cell-autonomous neuron death in hnRNPA1-associated ALS, we developed transgenic rats overexpressing mutant hnRNPA1 in specifically astrocytes. The confined overexpression of …

Performance Analysis Of Computational Methods For Predicting Protein Function In Rare Diseases, Aichetou Mohamed Sidiya, Hanin Alzaher, Razan Almahdi, Tayeb Brahimi

Effat Undergraduate Research Journal

Protein function prediction is crucial for understanding the underlying mechanisms of rare diseases. With the increasing availability of computational methods including machine learning-based approaches, network-based methods, and sequence-based methods, predicting protein functions has become more accessible. However, it is not clear which of these methods performs better or how they compare to each other in terms of accuracy, efficiency, and scalability. In this study, we evaluate several computational methods for predicting protein functions in rare diseases using key performance indicators (KPIs). We analyze the strengths and weaknesses of each method and provide recommendations for researchers and clinicians interested in using …

The Effectiveness Of Data Visualization Techniques For Communicating Insights: A Cross-Domain Analysis, Wejdan O. Alshateri, Reem Alsharabi, Passent M. Elkafrawy Prof

Effat Undergraduate Research Journal

No abstract provided.

Electrical Energy Consumption Forecasting Based On Conventional And Artificial Intelligence Methods: A Comparison, Haya H. Binsalim, Jana Kamal, Salma Badaam, Danah Milyani, Ghadah S. Alyami, Aziza I. Hussein

Effat Undergraduate Research Journal

Artificial Intelligence (AI)-based models have been widely applied for energy consumption forecasting over the past decades. The purpose of this paper is to review and compare the classical techniques and the emerging new AI-based techniques used for forecasting electrical energy consumption in buildings. The findings revealed that the Artificial Neural Network (ANN) model achieved the lowest Mean Absolute Percentage Error (MAPE) of 0.928%. AI-based techniques have many advantages over classical techniques, such as their ability to handle a large amount of data and provide accurate and fast results.

Electrical Energy Consumption Forecasting Analysis Based On Conventional And Artificial Intelligence Methods: A Comparison, Aziza I. Hussein

Effat Undergraduate Research Journal

Artificial intelligence (AI)-based models have been widely applied for energy consumption forecasting over the past decades. The purpose of this paper is to review the classical techniques and the emerging new techniques based on AI of the building electrical energy consumption forecasting. The advantages of AI-based techniques over the classical are that AI methods can handle a large amount of data yet gives accurate results, the results can be found very quickly, in addition to AI having the ability to solve complex nonlinear patterns of raw data. This paper will discuss several studies using different models of forecasting based on …