Digital Commons Network^™

Aging Characteristics Of Lithium-Ion Battery Under Fast Charging Based On Electrochemical-Thermal-Mechanical Coupling Model, Dong-Xu Zuo, Pei-Chao Li

Journal of Electrochemistry

The aging characteristics of lithium-ion battery (LIB) under fast charging is investigated based on an electrochemical-thermal-mechanical (ETM) coupling model. Firstly, the ETM coupling model is established by COMSOL Multiphysics. Subsequently, a long cycle test was conducted to explore the aging characteristics of LIB. Specifically, the effects of charging (C) rate and cycle number on battery aging are analyzed in terms of nonuniform distribution of solid electrolyte interface (SEI), SEI formation, thermal stability and stress characteristics. The results indicate that the increases in C rate and cycling led to an increase in the degree of nonuniform distribution of SEI, and thus …

A Framework For Human Evaluation Of Large Language Models In Healthcare Derived From Literature Review, Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V Stolyar, Katelyn Polanska, Karleigh R Mccarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang

Faculty, Staff and Student Publications

With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human evaluations is essential to assuring safety and effectiveness. This study reviews existing literature on human evaluation methodologies for LLMs in healthcare across various medical specialties and addresses factors such as evaluation dimensions, sample types and sizes, selection, and recruitment of evaluators, frameworks and metrics, evaluation process, and statistical analysis type. Our literature review of 142 studies shows gaps in reliability, generalizability, and applicability of current human evaluation practices. To overcome such significant obstacles to healthcare LLM developments and deployments, we …

Architecting Standards: Leveraging Ia To Drive Emerging Technology Standards​, Noreen Y. Whysel

Publications and Research

In this talk for the annual meeting of the W3C Information Architecture Community Group, I discuss how standards bodies can learn from the Information Architecture field to improve accessibility and usability. By adopting user-centered design principles and engaging in iterative feedback loops, standards organizations can create more relevant and practical standards that align with real-world applications. Emphasizing collaboration with industry experts and end-users will help ensure that standards evolve along with technological advancements.

In the meantime, key standards are examined, such as ISO 9241, which provides guidelines for usability and user-centered design, and the W3C's Web Content Accessibility Guidelines (WCAG), …

2024 Kentucky Water Resources Annual Symposium, Kentucky Water Research Institute

Kentucky Water Resources Annual Symposium

The program and proceedings contains details of the 2024 Kentucky Water Resources Symposium, including presentations, award winners, and poster presentations.

This symposium was planned and conducted as a part of the state water resources research institute annual program that is supported by Grant/Cooperative Agreement Number G21AP10631-02 from the United States Geological Survey (USGS). The contents of this proceedings document and the views and conclusions presented at the symposium are solely the responsibility of the individual authors and presenters and do not represent the official views of the USGS or of the symposium organizers and sponsors. This publication is produced with …

2024 Kentucky Water Resources Annual Symposium, Kentucky Water Research Institute

Kentucky Water Resources Annual Symposium

No abstract provided.

Assessment Of Water Pollution In A Waste Storage Drainage Area (A Case Study In Eskişehir, Türkiye), Ali̇ Kayabaşi, Özlem Toygar Sağin, Candan Gökçeoğlu

Turkish Journal of Earth Sciences

Before 2016, the Eskişehir city landfill was an irregular landfill. Since then, it has been transformed into a regulated landfill. This study aimed to investigate the presence of pollution in the landfill drainage area. For this purpose, water samples were collected from the landfill drainage area and the Kadirbey Farm Spring, upstream of the landfill area, during the rainy and dry seasons of 2021. Analyses of the heavy metal content, total dissolved soil (TDS), chemical oxygen demand, biochemical oxygen demand, pH, phenol material content, ammonia nitrogen content, and conductivity were conducted on the samples. Electrical resistivity tomography (ERT) measurements were …

Butte Priority Soils Operable Unit (Bpsou) Butte Hill Revegetation Specifications (Bhrs), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Integrating Data-Driven And Mechanism-Driven Modeling In Drug Discovery And Hepatotoxicity Evaluation, Xuelian Jia

Theses and Dissertations

The pharmacological activities and hepatotoxicity significantly influence the success or failure of new drugs during drug discovery and development. Traditional experimental methods, such as animal models, are costly and time-consuming for chemical testing. There is a great need to develop in vitro and computational modeling to help identify the pharmacological activities and hepatotoxicity potential in the early stage of drug discovery and safety evaluation. In this dissertation, new computational models and associated modeling frameworks were described for predicting the biological profile and hepatotoxicity of chemicals. Firstly, a novel data mining and Quantitative Structure-Activity Relationship (QSAR) workflow was developed to construct …

Genomic And Socioeconomic Determinants Of Racial Disparities In Breast Cancer Survival: Insights From The All Of Us Program, Nubaira Rizvi, Hui Lyu, Leah Vaidya, Xiao Cheng Wu, Lucio Miele, Qingzhao Yu

School of Public Health Faculty Publications

Background: Breast cancer outcomes are worse among Black women in the U.S. compared to White women. While extensive research has focused on risk factors contributing to breast cancer; the role of genomic elements in health disparities between these racial groups remains unclear. This study aims to identify genomic variants and socioeconomic status (SES) determinants influencing racial disparities in breast cancer survival through multiple mediation analyses. Methods: Our investigation is based on the NIH-supported All of Us (AoU) program and analyzes 7452 female participants with malignant tumors of breast, including 5073 with genomic data. A log-rank test reveals significant racial differences …

An Edge Platform Streamlining Connectivity Between Modern Edge Devices And Cloud, Anderson Carvalho

Theses

The numerous uses of cloud, fog, and edge computing in a variety of industries are thoroughly examined in this thesis, with a special emphasis on smart factories, smart cities, and smart agriculture. It starts with an introduction to cloud computing, going over its history, importance in contemporary digital infrastructures, and related security concerns. It emphasizes the value of cloud computing for processing and storing data while addressing issues like guaranteeing low latency applications and possible improvements from container technologies. The conversation then shifts to fog computing, going over its history, designs, and uses. It focuses on how fog computing might …

Preliminary Molecular Study Of Chloramphenicol Anchoring On Laccase Enzyme From Trametes Hirsuta, Hanzhola Gusman Riyanto, Afiten Rahmin Sanjaya

Makara Journal of Science

Antibiotics are one of emerging pollutants generally emitted from livestock production and the food industry to the environment. The presence of this pollutant could initiate the development of resistant bacteria that can be fatal to human health. The degradation of antibiotics using enzymes or microbe could be an alternative because the residue or intermediate product is less harmful than of the conventional method. This research aims to support a preliminary study of the degradation of antibiotics using enzyme through molecular docking via Molecular Operating Environment software and molecular dynamics (MD) study via CABSFLEX 2.0 and WebGro macromolecular simulations. The molecular …

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – August 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Environmental Justice And Social Work: A Study Across Practice Settings In Three U.S. States, Lisa Reyes Mason, Sierra Roach Coye, Smitha Rao, Amy Krings, Julia Santucci

Graduate School of Social Work: Faculty Scholarship

Environmental justice is essential for improved quality of life and sustainable wellbeing. This study examines how environmental issues and related injustices are surfacing in U.S. social work practice and social work readiness to respond, and what resources social workers are most interested in. Data are from an online survey of U.S. social workers (N = 337) in Colorado, Ohio, and Tennessee. Participants answered questions about their social work background, current job, environmental issues in practice, resources, and demographics. Data were analyzed with descriptive statistics. For nine issues, at least 30% of participants reported these as surfacing sometimes or often, with …

Amino Acid-Based Protein-Mimic Hydrogel Incorporating Pro-Regenerative Lipid Mediator And Microvascular Fragments Promotes The Healing Of Deep Burn Wounds, Yan Lu, Shanchun Su, Chih Chang Chu, Yuichi Kobayashi, Abdul Razak Masoud, Hongying Peng, Nathan Lien, Mingyu He, Christopher Vuong, Ryan Tran, Song Hong

School of Medicine Faculty Publications

Pro-regenerative lipid mediator 1 (PreM1) is a specialized pro-resolving lipid mediator that promotes wound healing and regenerative functions of mesenchymal stem cells (MSCs), endothelial cells, and macrophages. The healing of third-degree (3°) burns and regenerative functions of MSCs are enhanced by ACgel1, an arginine-and-chitosan-based protein-mimic hybrid hydrogel. Adipose-tissue derived microvascular fragments (MVFs) are native vascularization units and a rich source of MSCs, endothelial cells, and perivascular cells for tissue regeneration. Here we describe an innovative PreM1-MVFs-ACgel1 construct that incorporated PreM1 and MVFs into ACgel1 via optimal design and fabrication. This construct delivered PreM1 to 3°-burn wounds at least up to …

Near-Infrared Ratiometric Hemicyanine Fluorescent Probes For Monitoring Mitochondrial Ph Dynamics In Live Cells During Oxidative Stress And Hypoxia, Sushil K. Dwivedi, Dilka Liyana Arachchige, Adenike Olowolagba, Mohamed Mahmoud, Subash Pandey, Tara Vohs, Haiying Liu, Rudy Luck

Michigan Tech Publications

Novel near-infrared ratiometric molecules (probes A and B) produced by linking formyl-functionalized xanthene and methoxybenzene moieties, respectively, onto a xanthene-hemicyanine framework are detailed. Probe A exhibited a primary absorption peak at 780 nm and a shoulder peak at 730 nm and exhibited fluorescence at 740 nm↓ (signifies a downward shift in intensity upon acidification) in a pH 9.3 buffer and 780 nm↑ at pH 2.8 under excitation at 700 nm. Probe B featured absorptions at 618 and 668 nm at pH 3.2 and at 717 nm at pH 8.6, and fluorescence at 693 nm↑ at pH 3.2 and at 739 …

Seasonal Dynamics In Land Surface Temperature In Response To Land Use Land Cover Changes Using Google Earth Engine, Lei Feng, Sajjad Hussain, Narcisa G. Pricope, Sana Arshad, Aqil Tariq, Li Feng, Muhammad Mubeen, Rana Waqar Aslam, Mohammed S. Fnais, Wenzhao Li, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Changes in land use and land cover (LULC) are critical for evaluating global spatiotemporal trends, especially regarding climate change and urbanization. This study investigates the dynamics of Landsat surface temperature (LST) in response to LULC changes and their effects on the seasonal microclimate in Kasur District, Pakistan. Using the Google Earth Engine platform, we employed a random forest algorithm to detect LULC changes (cropland, forest, built-up, fallow, barren, and water) and analyze seasonal spectral indices from Landsat imagery for 1988, 2002, and 2022. Significant LULC changes were observed, including a 9.8% increase in built-up areas, a 4.2% decrease in cropland, …

Chacahoula 2024, Vol 91, Alayna Pellegrin

Chacahoula

MERGING REALITIES:

The 2023 issue of Chacahoula includes December 2023 and May 2024 graduating classes, as well as stunning photography of Week of Welcome, Homecoming, Mardi Gras, and Spring Fever. With features covering notable students, faculty, and staff, this year's time capsule beautifully preserves an academic year in the life of the University of Louisiana at Monroe.

Accumulation Patterns And Exploitation And Utilization Targets Of Geothermal Resources In The Coal-Bearing Area In North China, Pang Zhonghe, Duan Zhongfeng

Coal Geology & Exploration

Objective China is a major producer and consumer of coal resources in the world. The urgent need for the transition of the coal industry necessitates the investigation of both the origin and distribution patterns of geothermal resources in the coal-bearing areas of the country. The coal-bearing area in North China, with geothermal reserves accounting for 74.7% of the whole country, stands out as one of the areas with the most abundant geothermal resources nationally. This area encompasses four major coal-bearing basins: the Bohai Bay, Ordos, Qinshui, and Southern North China, with the lithospheric thermal state gradually weakening from east to …

Climate Smart Agriculture, J. David Aiken

Cornhusker Economics

There are several programs encouraging producers to reduce their carbon intensity, including United States Department of Agriculture climate-smart agriculture programs, the 2024 Nebraska Climate Action Plan, and the 2024 Nitrogen Reduction Incentive Act. The hope is that producers with lower carbon intensity (CI) scores will receive a premium for their products. Producers would be well advised to learn more about these programs, as reducing carbon intensity in agriculture seems to be an emerging agricultural policy trend that will be with us for some time to come.

A Brighter Tomorrow With Darker Skies: Understanding The Consequences Of Excessive Light And Combating Light Pollution At West Chester University, Finn Schmidhuber

Sustainability Research & Practice Seminar Presentations

Finn Schmidhuber, Computer Science '25, presents on the importance of Dark Skies and limiting light pollution.

2024 Draft Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Phase Iii Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exploring How Uncertain Labels From Non-Consensus Panels Affect Machine Learning, Amal Almansour

College of Computing and Digital Media Dissertations

A dataset becomes meaningful for analysis when it contains more representative features. Machine and deep learning models rely on annotated instances for training. The annotation process is usually done either by humans (experts or crowdsourcing) or by models. In many cases, the variability between humans (the inter-observer variability) in evaluation leads to uncertainty in the learning process. Due to the lack of reliable labels in large datasets, the inter-observer variability can be quantified with different methods to estimate the ground truth label (i.e., referenced standard label) for model learning.

In health care, with the rise of artificial intelligence in clinical …

Development Of Intensive Grassland Systems: From Science To Practice, D G. Mccall, G W. Sheath

IGC Proceedings (1977-2023)

Level of nnimal production from grassland is determined by the amount of pasture grown, pasture utilisation and animal conversion efficiency. The key components affecting production are pasture growth and animal conversion efficiency. These arc mainly influenced by environment, genetics and through inputs to maintain soil fertility or animal health. Systems development aims to link pasture growth and animal conversion through efficient strategies for pasture utilisation. The means of influencing pasture utilisation is through adjustments to animal feed demand, feed supply or grazing management. Stock policies that adjust the pattern and level of feed demand are of greatest significance in developing …

How State Universities Are Addressing The Shortage Of Cybersecurity Professionals In The United States, Gary Harris

Journal of Cybersecurity Education, Research and Practice

Cybersecurity threats have been a serious and growing problem for decades. In addition, a severe shortage of cybersecurity professionals has been proliferating for nearly as long. These problems exist in the United States and globally and are well documented in literature. This study examined what state universities are doing to help address the shortage of cybersecurity professionals since higher education institutions are a primary source to the workforce pipeline. It is suggested that the number of cybersecurity professionals entering the workforce is related to the number of available programs. Thus increasing the number of programs will increase the number of …

Effects Of Microplastic Biofilms On An Anthropogenically Impacted Suburban Lake, Paris M. Velasquez

Masters Theses

Plastics have been observed in every location on the planet, and their prevalence in the environment is due in part to their strong resistance to degradation. Inland lakes are susceptible to plastic pollution by highway runoff, which contains plastic fragments of brake pads, car tires, litter, and road paint. These plastics eventually enter freshwater environments and degrade into microplastics (

Re: Comment Letter For Draft Bpsou 2023 Groundwater Data Summary Report (Dated May 31, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Scientific Programs In The Arab Media - Reality And Gap, Najm Abed Khalaf Aleessawi

Middle East Journal of Communication Studies

The article aimed to reveal the level of Arab media coverage of specialized scientific topics and to know the actual need for such programs, especially with the tremendous developments in various fields of life. The descriptive analytical approach was adopted, and a questionnaire tool was used, which was distributed to (205) Arab academics and researchers who were selected by a simple random sampling method. The study found that coverage of scientific programs in the Arab media at the local level is not at the required level. Social media platforms are the most widely used media means for accessing scientific programs …

Ai In The Health Professions, Heidi Monroe, Carrie Fry, Phillip Baker, Erika Busz

AI and the Future of Work

The aim of this track is to provide health professionals, and those interested in mental health and healthcare careers with an understanding of key aspects of AI use in healthcare. Participants will explore advantages of some recent AI developments and evaluate how they may be effectively leveraged to improve patient care, while addressing potential challenges, limitations, and ethical considerations.

Business Failure Mode And Effects Analysis: A Risk Based Holistic Strategy To Improve Success Rates Of Small Technology Businesses, Krishnakumar R. Nair

USF Tampa Graduate Theses and Dissertations

Multiple US and global statistics show that small businesses are vital to economic development but fail at a startling rate. Small technology businesses (STBs) are around 35% of this small business segment. The central problem addressed in this research is to reduce their short lives and enable growth and stability. The solution is a significant business management strategy iteratively developed by working with business owners and practitioners. A holistic approach to view the business as a whole to address premature failures is not available, and this research presents a comprehensive approach to solving that problem. The study developed a novel …

A Generalized Machine Learning Model For Long-Term Coral Reef Monitoring In The Red Sea, Justin J. Gapper, Surendra Maharjan, Wenzhao Li, Erik Linstead, Surya Prakash Tiwari, Mohamed A. Qurban, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Coral reefs, despite covering less than 0.2 % of the ocean floor, harbor approximately 35 % of all known marine species, making their conservation critical. However, coral bleaching, exacerbated by climate change and phenomena such as El Niño, poses a significant threat to these ecosystems. This study focuses on the Red Sea, proposing a generalized machine learning approach to detect and monitor changes in coral reef cover over an 18-year period (2000–2018). Using Landsat 7 and 8 data, a Support Vector Machine (SVM) classifier was trained on depth-invariant indices (DII) derived from the Gulf of Aqaba and validated against ground …