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Articles 4261 - 4290 of 64990
Full-Text Articles in Entire DC Network
Ahr Activation At The Air-Blood Barrier Alters Systemic Microrna Release After Inhalation Of Particulate Matter Containing Environmentally Persistent Free Radicals, Ankit Aryal, Ashlyn C. Harmon, Alexandra Noël, Qingzhao Yu, Kurt J. Varner, Tammy R. Dugas
Ahr Activation At The Air-Blood Barrier Alters Systemic Microrna Release After Inhalation Of Particulate Matter Containing Environmentally Persistent Free Radicals, Ankit Aryal, Ashlyn C. Harmon, Alexandra Noël, Qingzhao Yu, Kurt J. Varner, Tammy R. Dugas
School of Public Health Faculty Publications
Particulate matter containing environmentally persistent free radicals (EPFRs) is formed when organic pollutants are incompletely burned and adsorb to the surface of particles containing redox-active metals. Our prior studies showed that in mice, EPFR inhalation impaired vascular relaxation in a dose- and endothelium-dependent manner. We also observed that activation of the aryl hydrocarbon receptor (AhR) in the alveolar type-II (AT-II) cells that form the air-blood interface stimulates the release of systemic factors that promote endothelial dysfunction in vessels peripheral to the lung. AhR is a recognized regulator of microRNA (miRNA) biogenesis, and miRNA control diverse signaling pathways. We thus hypothesized …
Climate Data Imputation And Quality Improvement Using Satellite Data, Kadhim Hayawi, Sakib Shahriar, Hakim Hacid
Climate Data Imputation And Quality Improvement Using Satellite Data, Kadhim Hayawi, Sakib Shahriar, Hakim Hacid
All Works
Combating climate change has emerged as a global concern recently, and meteorological data remain an important measure for analyzing and predicting climate trends. However, ground weather stations and sensors can be impacted by faults due to accidents and unreliability, often resulting in, for example, missing data and lowering the overall quality of the data. This paper explores the impact of using satellite data as an input feature for machine learning algorithms. In particular, temperature, pressure, wind speed, and global horizontal radiation data are imputed using various machine learning algorithms to overcome potential data quality issues resulting from the ground stations. …
Applications Of Clustered Regularly Interspaced Short Palindromic Repeats In Food Security And Nutraceuticals, Rukayat Abiodun Oyegoke, Jahswill Toluwanimi Osifade, Adenike Temidayo Oladiji
Applications Of Clustered Regularly Interspaced Short Palindromic Repeats In Food Security And Nutraceuticals, Rukayat Abiodun Oyegoke, Jahswill Toluwanimi Osifade, Adenike Temidayo Oladiji
Al-Bahir
The CRISPR/Cas9 system is a revolutionary genome-editing tool that enables precise and inheritable modifications, transforming plant genetic engineering. Previous literature has indicated that, in agriculture, CRISPR has improved crop yield, biofortification, and resistance to environmental stressors, fostering resilient and high-yielding crops essential for sustaining a growing global population. In nutraceuticals, CRISPR has enhanced the biosynthesis of bioactive compounds such as anthocyanins, flavonoids, and omega-3 fatty acids, improving the nutritional and therapeutic value of crops.
Despite its immense potential, CRISPR technology faces technical, ethical, and regulatory challenges, including off-target effects, accessibility concerns, and public acceptance. Addressing these issues is crucial for …
Heavy Metals In Healthy Water Samples Used By Newborn In Al-Najaf Governorate, Iraq, Ban Hussein Ali, Ali Abid Abojassim
Heavy Metals In Healthy Water Samples Used By Newborn In Al-Najaf Governorate, Iraq, Ban Hussein Ali, Ali Abid Abojassim
Al-Bahir
Water is essential for life, so monitoring water quality is important. This research focuses on measuring heavy metals (Lead, Pb; Cadmium, Cd; Chromium, Cr (in 14 healthy water samples of two types; bottled water and filtered water used by newborn children in Al-Najaf governorate, Iraq. Atomic absorption spectroscopy (AA-7000, Japan) was used to conduct the experimental analysis. Also, health risks parameters (non-carcinogenic and carcinogenic) due to Pd, Cd, and Cr concentrations were calculated. The results of Pb, Cd, and Cr concentrations in mg/L for bottled water samples were ranged 0.03-0.83, 0.01-0.69, and 0.01-0.76, respectively, while the range values for filter …
How Can The Adoption Of Biodegradable Packaging In The Beverage Industry Specifically Contribute To Reducing Single-Use Plastic Waste, And What Regulatory Or Cost-Related Challenges Hinder Its Widespread Implementation In Developing Countries?, Rebecca Aba Gaisie
2025 Awards for Excellence in Student Research and Creative Activity - Documents
This research investigates the potential of biodegradable packaging to reduce single-use plastic waste in the beverage industry and explores the regulatory and cost-related barriers to its adoption in developing countries. The beverage sector is a major contributor to global plastic pollution, and biodegradable alternatives offer a promising path toward sustainability. Using a mixed-methods approach, this study combines qualitative interviews with industry experts and case studies of businesses implementing biodegradable solutions, alongside quantitative survey data from 100 manufacturers and 200 consumers across Africa, Asia, and Latin America. Findings reveal that while biodegradable packaging significantly reduces plastic waste and appeals to environmentally …
Securing Biometric Data, Alyssa F. Carroll
Securing Biometric Data, Alyssa F. Carroll
Cybersecurity Undergraduate Research Showcase
Biometric data has been widely adopted across various sectors, including digital identity, artificial intelligence (AI), border control, digital wallets, and national identification systems. While biometric identifiers—such as fingerprints, retina scans, and facial recognition—offer reliable and convenient authentication, they also raise significant concerns regarding privacy and security. This paper examines how biometric data is stored, the vulnerabilities it faces, and the most effective methods for safeguarding it. By highlighting the critical importance of biometric data protection, this study reviews current research on approaches, strategies, and policies that enhance security while preserving the functionality and efficiency of biometric systems.
Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Unreclaimed Sites (Ur-35) Remedial Action Work Plan (Rawp) (Dated June 14, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Butte Priority Soils Operable Unit (Bpsou) 2025 Monthly Progress Report. Consent Decree For The Butte Priority Soils Operable Unit. Civil Action No. Cv 89-039-Bu-Seh, Josh Bryson
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Reclamation Evaluation System (Bres) Draft 2024 Field Evaluation Summary And Technical Recommendations Report (Dated November 15, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Utilizing Machine Learning To Predict The Charge Storage Capability Of Lithium-Ion Battery Materials, Manoj Chhetri, Karen S. Martirosyan
Utilizing Machine Learning To Predict The Charge Storage Capability Of Lithium-Ion Battery Materials, Manoj Chhetri, Karen S. Martirosyan
Physics & Astronomy Faculty Publications
With the increasing demand for high-performance batteries in applications such as electric vehicles and portable electronics, accurately predicting the charge storage capacity of battery materials is crucial for developing more efficient and reliable energy storage systems. Machine Learning (ML) and data-driven approaches, plays a vital role in enhancing our understanding of Li-ion battery performance, guiding materials design, optimizing system efficiency, and accelerating innovation in energy storage technologies. In this study, an ML-based approach was applied to a dataset of 2345 rechargeable Li-ion battery materials, obtained from the Materials Project online portal, to predict gravimetric charge storage capacity ─ a key …
Does Exercising With A Romantic Partner Improve Physical, Emotional, And Relational Well-Being?, Abbie Whitehead
Does Exercising With A Romantic Partner Improve Physical, Emotional, And Relational Well-Being?, Abbie Whitehead
Student Research Symposium
While exercise is known to benefit both physical and mental health, working out with a partner may amplify those benefits. Could exercising with a romantic partner further enhance these outcomes---while also improving relationship quality?
Expressing And Purifying Homologs Of Crispr Systems, Gabe Parrish
Expressing And Purifying Homologs Of Crispr Systems, Gabe Parrish
Student Research Symposium
CRISPR (Clustered Regularly Interspaced Palindromic Repeat)-Cas (CRISPR- associated) is a protein-nucleic acid adaptive immune system in Bacterial and Archaeal organisms that defends against invading foreign genetic material.
Research And Engagement Day Poster
Research And Engagement Day Poster
Bryant REDay (Research and Engagement Day)
No abstract provided.
Bryant's Ai Hack-A-Thon
Bryant REDay (Research and Engagement Day)
No abstract provided.
Research And Engagement Day Poster
Research And Engagement Day Poster
Bryant REDay (Research and Engagement Day)
No abstract provided.
Bryant University Research And Engagement Day Program
Bryant University Research And Engagement Day Program
Bryant REDay (Research and Engagement Day)
No abstract provided.
Research And Engagement Day Poster
Research And Engagement Day Poster
Bryant REDay (Research and Engagement Day)
No abstract provided.
Community Land Governance In Liberia: Implications For Tenure Security And Land Concessions, Julia R. Entwistle, Hanson Nyantakyi-Frimpong
Community Land Governance In Liberia: Implications For Tenure Security And Land Concessions, Julia R. Entwistle, Hanson Nyantakyi-Frimpong
Geography and the Environment: Faculty Scholarship
Throughout rural Africa, the intersection of customary traditions and statutory governance has often led to overlapping jurisdictions and conflicts over community land rights. In Liberia, this dynamic is particularly evident in the rise of commercial land concessions. This article examines the Liberian government’s approach to community land rights and its impacts on land tenure security, especially in the context of these concessions. This study employs a discourse analysis of Liberian land use policies alongside qualitative data from in-depth interviews with community members living near large-scale plantations. Despite historical erosion of community land rights, Liberian communities have adapted statutory frameworks to …
Determining The Function Of Type Iv-B Crispr-Cas Systems, Eric Jenkins, Brendon Guinn
Determining The Function Of Type Iv-B Crispr-Cas Systems, Eric Jenkins, Brendon Guinn
Student Research Symposium
CRISPR-Cas systems are a diverse group of prokaryotic adaptive immune systems that defend against Mobile Genetic Elements (MGEs) such as bacteriophages and plasmids. CRISPR-associated (Cas) proteins bind to guide RNAs (crRNAs) transcribed from a DNA repeat array (CRISPR array) containing spacers complementary to MGEs. Upon infection by a MGE, the Cas protein-crRNA complex binds to the target sequence in the invaders genome and cleaves the nucleic acid.
Comparative Analysis Of Vertical And Horizontal Subsurface Flow Constructed Wetlands For Eutrophication Mitigation", Ali M. Ahmed
Comparative Analysis Of Vertical And Horizontal Subsurface Flow Constructed Wetlands For Eutrophication Mitigation", Ali M. Ahmed
Al-Bahir
Constructed wetlands (CWs) serve as a sustainable and eco-friendly solution for wastewater treatment, particularly in the removal of eutrophication-causing pollutants. This review focuses on the comparative performance of Vertical Flow (VF) and Horizontal Flow (HF) Subsurface Flow (SSF) systems, assessing their efficiency in removing Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Nitrogen (TN), and Total Phosphorus (TP). VF systems demonstrate superior pollutant removal, particularly for nitrogen, due to enhanced aeration and efficient oxygenation processes. In addition, their compact design reduces land area requirements, making them advantageous in space-limited applications. Conversely, HF systems are more effective at supporting nutrient …
Aqueous Extracts Of Zingiber Officinale Rhizomes And Hibiscus Sabdariffa Leaves Enhanced Plasmodium Berghei-Infected Mice's Hematological Parameters., Fatimah Aluko Abubakar, Raliat Abimbola Aladodo, Aremu Abubakar
Aqueous Extracts Of Zingiber Officinale Rhizomes And Hibiscus Sabdariffa Leaves Enhanced Plasmodium Berghei-Infected Mice's Hematological Parameters., Fatimah Aluko Abubakar, Raliat Abimbola Aladodo, Aremu Abubakar
Al-Bahir
Malaria remains a global health challenge, leading to severe hematological complications. Natural alternatives such as Zingiber officinale and Hibiscus sabdariffa, known for their antioxidant and bioactive properties, are being investigated for their therapeutic potential. This study examines the hematological benefits of Z. officinale and H. sabdariffa in mice infected with the common malaria research model, NK65 chloroquine-sensitive Plasmodium berghei. Forty-two albino mice, averaging 24.5 ± 1.23g, were randomly divided into six groups. Mice in group A were uninfected which served as the normal control group. Mice in groups B, C, D, E, and F were inoculated intraperitoneally with P. …
Contributions Of Biochar And Biofertilizer On Food Scraps Composting, Kabita Budthapa, I.P. Handayani Dr, Shova Shrestha Dr
Contributions Of Biochar And Biofertilizer On Food Scraps Composting, Kabita Budthapa, I.P. Handayani Dr, Shova Shrestha Dr
Scholars Week
Food scraps have contributed significantly to environmental problems. Because of its substantial effects on the environment, the economy, and society, it has become a major global issue. This research was conducted at Nepal Academy of Science and Technology, Lalitpur, and was meant to find ways to shorten the composting period using biofertilizers and biochar and study their impacts on the compost nutrients. The experiment involved seven treatments with three replications: T1 (Control), T2 (EM-1), T3 (Prarhamva decomposer), T4 (Biofertilizer KM), T5 (Biochar 400 g + Biofertilizer KM), T6 (Biochar 800 g + Biofertilizer KM), T7 (Biochar 200 g) with 5 …
Comparing Thermal Imaging Of New York City From 1988 To 2025, Amelia R. Slaton
Comparing Thermal Imaging Of New York City From 1988 To 2025, Amelia R. Slaton
Scholars Week
My project compared the urban heat island effect on New York City from 1988 to 2025. After looking at the risks associated with the heat island effect on local life I compared Landsat 5 imaging from 1988 and 1989 to Landsat 9 imaging from 2025 to find any differences between the thermal output of New York City. I then used images from both inner and long island area of New York from both time periods. As well as, the reason for New York's large thermal output compared to other surrounding areas and what the city is doing to combat the …
Detection Of Co2 Locally Generated By Formate Dehydrogenase Using Carbonate Ion-Selective Micropipette Electrodes, Seol Baek, Salvador Gutierrez-Portocarrero, Rokas Gerulskis, Shelley D. Minteer, Sean R. German, Henry S. White
Detection Of Co2 Locally Generated By Formate Dehydrogenase Using Carbonate Ion-Selective Micropipette Electrodes, Seol Baek, Salvador Gutierrez-Portocarrero, Rokas Gerulskis, Shelley D. Minteer, Sean R. German, Henry S. White
Chemistry Faculty Research & Creative Works
Many technologies involve immobilizing catalysts such as enzymes on surfaces, and the catalytic activities or functional efficiencies of these surface-bound catalysts can vary depending on orientations, localized binding sites, active sites, and intrinsic molecular nature. Accurate and rapid quantification of reaction products from surface-immobilized catalysts is crucial for understanding the selectivity, mechanisms, and reaction dynamics of catalytic systems and for revealing heterogeneous catalytic activities and reaction sites for applications such as biosensors and energy conversion/generation systems. Here, we demonstrate the feasibility of localized enzymatic activity measurements using microscale carbon dioxide (CO2)-sensitive ion-selective electrode (ISE) pipettes (0.5-2.5 μm tip …
Prenatal Exposure To Pm2.5 Concentration And Risk Of Preterm Birth In New Mexico; A Seasonal Pattern And Spatio-Temporal Modeling., Onyedikachi J. Okeke
Prenatal Exposure To Pm2.5 Concentration And Risk Of Preterm Birth In New Mexico; A Seasonal Pattern And Spatio-Temporal Modeling., Onyedikachi J. Okeke
Mathematics & Statistics ETDs
This study investigates the association between prenatal PM2.5 exposure and preterm birth risk in New Mexico (2014–2021). Using descriptive statistics, time series models, and spatial analyses, findings show an average preterm birth rate of 14.87 per 1,000 live births, with moderate correlation (r = 0.727) between PM2.5 levels and very preterm births. While traditional models revealed no significant global effect, spatial methods such as Geographically Weighted Regression (GWR) and Multiscale GWR uncovered strong spatial heterogeneity. PM2.5 effects varied by county (coefficients: -0.00154 to 0.00150), with clustering evident in 2018–2019 (Moran’s I = 0.155–0.174). Results highlight the limitations of global models …
The Fear Of Replacement: How Ai Panic In Journalism Mirrors Existential Crisis In Industry, James Hutson
The Fear Of Replacement: How Ai Panic In Journalism Mirrors Existential Crisis In Industry, James Hutson
Faculty Scholarship
This study systematically examines the portrayal of artificial intelligence (AI) errors, such as hallucinations and deepfakes, in journalistic contexts, evaluating whether these narratives reflect a broader existential anxiety about AI's role in reshaping journalism. Using a systematic literature review combined with a qualitative content analysis of recent AI-focused news reports, this study identifies recurring themes in media coverage to assess the accuracy and context of reported AI errors relative to actual technological limitations and affordances. Findings suggest that while AI errors are comparatively rare, they receive amplified coverage, often fueling public mistrust in AI technologies. Nevertheless, a balanced examination reveals …
Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) 2025 Draft Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Dated February 14, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Learning Parent Strategies: A Trajectory-Based Approach To Analyzing Parent Child Interactions With Llms, Chelsea Joe
Learning Parent Strategies: A Trajectory-Based Approach To Analyzing Parent Child Interactions With Llms, Chelsea Joe
Computer Science Senior Theses
Recent advancements in large language models (LLMs) have demonstrated their ability to leverage its immense world knowledge to excel in traditional reinforcement learning tasks. Building on these capabilities, we introduce a framework that uses LLMs to learn from human behavior video data and generate insights that serve as guidelines for predicting how individuals are likely to act. Our framework focuses on parent- child dialogic reading, with an emphasis on understanding each parent’s unique parenting strategies. The system identifies meaningful interaction episodes within analyzed video data. The learning component of the framework utilizes a long-term memory system, which stores and retrieves …
Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites Ur-03 Remedial Action Work Plan (Rawp) (Dated January 27, 2025)., Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Ai Beliefs And Practices In Community College Classrooms, Julie Eng, Heather Umphlett, Jocelyn Gilchrist, Alicia Howell, Mary Ann Howell, Wendy Miller-Edwards, Laurel Pope
Ai Beliefs And Practices In Community College Classrooms, Julie Eng, Heather Umphlett, Jocelyn Gilchrist, Alicia Howell, Mary Ann Howell, Wendy Miller-Edwards, Laurel Pope
Inquiry: The Journal of the Virginia Community Colleges
The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure to the AI explosion, community colleges particularly face a responsibility to prepare their students for success in this new AI-focused environment. In this article, seven faculty members from Camp Community College discuss the implications of generative AI programs, including subscriptions and chatbots, within their particular courses and how …