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Full-Text Articles in Entire DC Network
A History Of The Geology Program At The University Of Tennessee At Martin, Michael A. Gibson
A History Of The Geology Program At The University Of Tennessee At Martin, Michael A. Gibson
The Compass: Earth Science Journal of Sigma Gamma Epsilon
The teaching of geology has as long a history as The University of Tennessee at Martin has itself, extending back to 1901 when the first geology class was offered at the campus’s original institution, Hall-Moody Institute, a small Baptist college. Geology, usually with geography, was offered as a service course to the primary programs of agriculture, education and, later, engineering. Faculty turnover during these formative years was frequent. When the school was acquired by the University of Tennessee in 1927 and became UT Junior College, geology remained a service course. Geology offerings had been expanding since 1947 and, in 1951, …
Isolating Microbes From The Surface Of An Introductory Laboratory Halite Hand Sample, Kesley G. Banks, Michael A. Gibson, Matthew A. Pritchett
Isolating Microbes From The Surface Of An Introductory Laboratory Halite Hand Sample, Kesley G. Banks, Michael A. Gibson, Matthew A. Pritchett
The Compass: Earth Science Journal of Sigma Gamma Epsilon
Introductory geology labs stress simple physical testing (luster, hardness, etc.) to identify common minerals, using mineral charts to eliminate minerals not exhibiting a particular property. Special properties (magnetism, specific gravity, taste, etc.) for specific minerals narrows mineral identity. Students often express safety concerns about licking minerals, especially when they realize others have previously licked the specimen. As an exercise in medical geology, we cultured microbes from a halite sample used for nearly 25 years and licked by numerous students over that time span (Sample 1), a commercially purchased unused and freshly exposed surface of halite licked by one person (Sample …
Examining The Relationship Between Land-Use Cover Change And Sociodemographic Characteristics: A Case Study Of Madison County, Tennessee, Thomas A. Depriest Jr., Anzhelia Antipova, Hsiang-Te Kung, Esra Ozdenerol
Examining The Relationship Between Land-Use Cover Change And Sociodemographic Characteristics: A Case Study Of Madison County, Tennessee, Thomas A. Depriest Jr., Anzhelia Antipova, Hsiang-Te Kung, Esra Ozdenerol
The Compass: Earth Science Journal of Sigma Gamma Epsilon
This study sought to holistically examine urbanization in Jackson, Madison County, TN. In order to accomplish this objective, a study of land-use and land cover (LULC) change in Madison County, TN from 1992–2011 was conducted. Once completed, noted changes in LULC were then compared to certain socio-demographic factors; these included, population, population density, point distance, central business district, and distance to roads. To determine if any significant relationships existed between socio-demographic factors and quantified LULC changes Spearman’s Correlations were utilized. Relationships between socio-demographic factors and land-use indicators were established as urban areas grew, agricultural and forested areas declined, and population …
Sigma Gamma Epsilon Student Research Poster Session, Geological Society Of America Annual Meeting 2023, Pittsburgh, Pennsylvania, Usa, Scott Beason
The Compass: Earth Science Journal of Sigma Gamma Epsilon
The Society of Sigma Gamma Epsilon sponsors an annual poster session at every Annual Meeting of the Geological Society of America. The 35th Sigma Gamma Epsilon undergraduate research poster session took place during the 2023 Geological Society of America Annual Meeting in Pittsburgh, Pennsylvania, USA, on Monday, October 16, 2022. Sixty-three (63) posters were presented in Exhibit Hall B at the David L. Lawrence Convention Center between 8:00 AM and 5:30 PM at the poster session. Titles, authors (italics for the presenting author), affiliations, and abstracts for each poster are listed in this report.
Kpiroot: Efficient Monitoring Metric-Based Root Cause Localization In Large-Scale Cloud Systems, Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu
Kpiroot: Efficient Monitoring Metric-Based Root Cause Localization In Large-Scale Cloud Systems, Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu
Research Collection School Of Computing and Information Systems
To ensure the reliability of cloud systems, their run-time status reflecting the service quality is periodically monitored with monitoring metrics, i.e., KPIs (key performance indicators). When performance issues happen, root cause localization pinpoints the specific KPIs that are responsible for the degradation of overall service quality, facilitating prompt problem diagnosis and resolution. To this end, existing methods generally locate root-cause KPIs by identifying the KPIs that exhibit a similar anomalous trend to the overall service performance. While straightforward, solely relying on the similarity calculation may be ineffective when dealing with cloud systems with complicated interdependent services. Recent deep learning-based methods …
Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton
Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton
Faculty Publications
The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …
Can Federated Learning Solve Ai’S Data Privacy Problem?: A Legal Analysis, Warren B. Chik, Florian Gamper
Can Federated Learning Solve Ai’S Data Privacy Problem?: A Legal Analysis, Warren B. Chik, Florian Gamper
Research Collection Yong Pung How School Of Law
Federated learning (FL) is a method of training AI systems on different datasets without sharing data. The promise of FL is to enable AI systems to be trained on data, including personal data, while preserving data privacy and confidentiality, and thus, inter alia, facilitate compliance with data protection legislation. FL has generated a considerable interest amongst the computer science community, yet there is a dearth of legal analysis of FL. This is a problem because the question of whether FL facilitates compliance with data protection legislation is a legal question. This article will fill this lacuna by providing a comprehensive …
Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay
Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay
Research Collection Yong Pung How School Of Law
With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how …
A Novel Bipolar Valued Fuzzy Group Based On Dib’S Approach, Fadi Al-Zu’Bi, Abdul Ghaffur Ahmad, Abd Ulazeez Alkouri, Maslina Darus
A Novel Bipolar Valued Fuzzy Group Based On Dib’S Approach, Fadi Al-Zu’Bi, Abdul Ghaffur Ahmad, Abd Ulazeez Alkouri, Maslina Darus
All Works
The numerous extensions of fuzzy groups (FG) and fuzzy subgroups are complicated. Several results depending on different approaches of FG theory were introduced. This study introduces a novel extension, named bipolar-valued fuzzy groups (BVF-groups), which are based on bipolar-valued fuzzy space (BVF-space) and are created using Dib’s methodology. The BVF-space replaces the universal set in conventional set theory. The BVF-space generalizes the notion of fuzzy space (F-space) from [0, 1] to [−1, 0] × [0, 1] for the range of membership function. The novel theory of BVF-group is achieved through the BVF-space and bipolar valued binary operation (BVFBO) to build …
Predicting The Limits: Tailoring Unnoticeable Hand Redirection Offsets In Virtual Reality To Individuals' Perceptual Boundaries, Martin Feick, Kora Persephone Regitz, Lukas Gehrke, André Zenner, Anthony Tang, Tobias Patrick Jungbluth, Maurice Rekrut, Antonio Krüger
Predicting The Limits: Tailoring Unnoticeable Hand Redirection Offsets In Virtual Reality To Individuals' Perceptual Boundaries, Martin Feick, Kora Persephone Regitz, Lukas Gehrke, André Zenner, Anthony Tang, Tobias Patrick Jungbluth, Maurice Rekrut, Antonio Krüger
Research Collection School Of Computing and Information Systems
Many illusion and interaction techniques in Virtual Reality (VR) rely on Hand Redirection (HR), which has proved to be effective as long as the introduced offsets between the position of the real and virtual hand do not noticeably disturb the user experience. Yet calibrating HR offsets is a tedious and time-consuming process involving psychophysical experimentation, and the resulting thresholds are known to be affected by many variables—limiting HR’s practical utility. As a result, there is a clear need for alternative methods that allow tailoring HR to the perceptual boundaries of individual users. We conducted an experiment with 18 participants combining …
Navigating Governance Paradigms: A Cross-Regional Comparative Study Of Generative Ai Governance Processes & Principle, Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang
Navigating Governance Paradigms: A Cross-Regional Comparative Study Of Generative Ai Governance Processes & Principle, Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang
Research Collection School Of Computing and Information Systems
As Generative Artificial Intelligence (GenAI) technologies evolve at an unprecedented rate, global governance approaches struggle to keep pace with the technology, highlighting a critical issue in the governance adaptation of significant challenges. Depicting the nuances of nascent and diverse governance approaches based on risks, rules, outcomes, principles, or a mix across different regions around the globe is fundamental to discern discrepancies and convergences and to shed light on specific limitations that need to be addressed, thereby facilitating the safe and trustworthy adoption of GenAI. In response to the need and the evolving nature of GenAI, this paper seeks to provide …
Exploring Conversations Between A Practitioner And A Person With Dementia, Kotaro Hara, Rosiana Natalie, Wei Soon Cheong, Jingjing Gu, Qianli Xu
Exploring Conversations Between A Practitioner And A Person With Dementia, Kotaro Hara, Rosiana Natalie, Wei Soon Cheong, Jingjing Gu, Qianli Xu
Research Collection School Of Computing and Information Systems
In social service centers, practitioners engage in conversations with clients with dementia to facilitate their daily activities and provide support when they are distressed. However, the nature of the care demands the practitioner’s active engagement, which becomes difficult to deliver as the number of people who need care expands. Researchers have been investigating the efficacy of developing agents that assume conversational tasks to alleviate this work. To contribute to the future design of agents for caregiving, we collected and analyzed ten conversations between clients with mild dementia and practitioners who provide care. Our analyses of turn-taking dynamics and dialogue acts …
Temporal Relational Graph Convolutional Network Approach To Financial Performance Prediction, Jeyaraman Brindha Priyadarshini, Bing Tian Dai, Yuan Fang
Temporal Relational Graph Convolutional Network Approach To Financial Performance Prediction, Jeyaraman Brindha Priyadarshini, Bing Tian Dai, Yuan Fang
Research Collection School Of Computing and Information Systems
Accurately predicting financial entity performance remains a challenge due to the dynamic nature of financial markets and vast unstructured textual data. Financial knowledge graphs (FKGs) offer a structured representation for tackling this problem by representing complex financial relationships and concepts. However, constructing a comprehensive and accurate financial knowledge graph that captures the temporal dynamics of financial entities is non-trivial. We introduce FintechKG, a comprehensive financial knowledge graph developed through a three-dimensional information extraction process that incorporates commercial entities and temporal dimensions and uses a financial concept taxonomy that ensures financial domain entity and relationship extraction. We propose a temporal and …
Enhancing Recipe Retrieval With Foundation Models: A Data Augmentation Perspective, Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang
Enhancing Recipe Retrieval With Foundation Models: A Data Augmentation Perspective, Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang
Research Collection School Of Computing and Information Systems
Learning recipe and food image representation in common embedding space is non-trivial but crucial for cross-modal recipe retrieval. In this paper, we propose a new perspective for this problem by utilizing foundation models for data augmentation. Leveraging on the remarkable capabilities of foundation models (i.e., Llama2 and SAM), we propose to augment recipe and food image by extracting alignable information related to the counterpart. Specifically, Llama2 is employed to generate a textual description from the recipe, aiming to capture the visual cues of a food image, and SAM is used to produce image segments that correspond to key ingredients in …
Beat-It : Beat-Synchronized Multi-Condition 3d Dance Generation, Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He
Beat-It : Beat-Synchronized Multi-Condition 3d Dance Generation, Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He
Research Collection School Of Computing and Information Systems
Dance, as an art form, fundamentally hinges on the precise synchronization with musical beats. However, achieving aesthetically pleasing dance sequences from music is challenging, with existing methods often falling short in controllability and beat alignment. To address these shortcomings, this paper introduces Beat-It, a novel framework for beat-specific, key pose-guided dance generation. Unlike prior approaches, Beat-It uniquely integrates explicit beat awareness and key pose guidance, effectively resolving two main issues: the misalignment of generated dance motions with musical beats, and the inability to map key poses to specific beats, critical for practical choreography. Our approach disentangles beat conditions from music …
Documenting Ethical Considerations In Open Source Ai Models, Haoyu Gao, Mansooreh Zahedi, Christoph Treude, Sarita Rosenstock, Marc Cheong
Documenting Ethical Considerations In Open Source Ai Models, Haoyu Gao, Mansooreh Zahedi, Christoph Treude, Sarita Rosenstock, Marc Cheong
Research Collection School Of Computing and Information Systems
Background: The development of AI-enabled software heavily depends on AI model documentation, such as model cards, due to different domain expertise between software engineers and model developers. From an ethical standpoint, AI model documentation conveys critical information on ethical considerations along with mitigation strategies for downstream developers to ensure the delivery of ethically compliant software. However, knowledge on such documentation practice remains scarce. Aims: The objective of our study is to investigate how developers document ethical aspects of open source AI models in practice, aiming at providing recommendations for future documentation endeavours. Method: We selected three sources of documentation on …
Drinking Water And Wastewater In Socioeconomically Disadvantaged Communities In New Mexico: The Utilization Of Geographic Information Systems To Identify Communities Most In Need Of Technical Assistance, Alejandra Gaytan Tellez
Drinking Water And Wastewater In Socioeconomically Disadvantaged Communities In New Mexico: The Utilization Of Geographic Information Systems To Identify Communities Most In Need Of Technical Assistance, Alejandra Gaytan Tellez
Water Resources Professional Project Reports
The goal of this study is to identify the most burdened New Mexico community water systems (CWSs) and publicly owned treatment works (POTWs) with National Pollutant Discharge Elimination System (NPDES) permits to be able to provide them with technical assistance to address their issues, such as health-based and monitoring and reporting violations. Additionally, technical assistance can help them access federal or state funding to improve the infrastructure within their systems. The study evaluated multiple factors to determine the systems with the highest level of burden and reported the results as value numbers. The CWSs were evaluated on 10 factors that …
Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2023, Pioneer Technical Services, Inc.
Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2023, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Butte Priority Soils Operable Unit (Bpsou) Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2022., Pioneer Technical Services, Inc.
Butte Priority Soils Operable Unit (Bpsou) Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2022., Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Revised Final Multi-Pathway Residential Metals Abatement Program Plan, Atlantic Richfield Company, Butte Silver Bow
Revised Final Multi-Pathway Residential Metals Abatement Program Plan, Atlantic Richfield Company, Butte Silver Bow
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte
Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte
Faculty Publications
Advances in artificial intelligence (AI) in the medical sector necessitate the development of AI literacy among future physicians. This article explores the pioneering efforts of the AI in Medicine Association (AIM) at Brigham Young University, which offers a framework for undergraduate pre-medical students to gain hands-on experience, receive principled education, explore ethical considerations, and learn appraisal of AI models. By supplementing formal, university-organized pre-medical education with a student-led, faculty-supported introduction to AI through an extracurricular academic association, AIM alleviates apprehensions regarding AI in medicine early and empowers students preparing for medical school to navigate the evolving landscape of AI in …
Ks18, A Mcl-1 Inhibitor, Improves The Effectiveness Of Bortezomib And Overcomes Resistance In Refractory Multiple Myeloma By Triggering Intrinsic Apoptosis., Omar S Al-Odat, Weam Othman Elbezanti, Krishne Gowda, Sandeep K Srivastava, Shantu G Amin, Subash C. Jonnalagadda, Tulin Budak-Alpdogan, Manoj K Pandey
Ks18, A Mcl-1 Inhibitor, Improves The Effectiveness Of Bortezomib And Overcomes Resistance In Refractory Multiple Myeloma By Triggering Intrinsic Apoptosis., Omar S Al-Odat, Weam Othman Elbezanti, Krishne Gowda, Sandeep K Srivastava, Shantu G Amin, Subash C. Jonnalagadda, Tulin Budak-Alpdogan, Manoj K Pandey
Cooper Medical School of Rowan University Departmental Research
Despite a record number of clinical studies investigating various anti-myeloma treatments, the 5-year survival rate for multiple myeloma (MM) patients in the US is only 55%, and almost all patients relapse. Poor patient outcomes demonstrate that myeloma cells are "born to survive" which means they can adapt and evolve following treatment. Thus, new therapeutic approaches to combat survival mechanisms and target treatment resistance are required. Importantly, Mcl-1, anti-apoptotic protein, is required for the development of MM and treatment resistance. This study looks at the possibility of KS18, a selective Mcl-1 inhibitor, to treat MM and overcome resistance. Our investigation demonstrates …
Does It Stick? A Longitudinal Study Of Introductory Physics For Life Sciences At A Small College, Benjamin D. Geller , '01, Catherine Hirshfeld Crouch
Does It Stick? A Longitudinal Study Of Introductory Physics For Life Sciences At A Small College, Benjamin D. Geller , '01, Catherine Hirshfeld Crouch
Physics & Astronomy Faculty Works
At Swarthmore College, we began developing an Introductory Physics for Life Sciences (IPLS) course nearly 20 years ago. The electricity, magnetism and optics semester was launched in 2008 and both semesters have been offered regularly since Fall 2015. Two primary goals of this curriculum are (1) to prepare students to effectively use physical models and quantitative reasoning in biological and biomedical contexts, and (2) for students to come to view physics as relevant to the life sciences. To evaluate whether these goals are achieved, we conducted a longitudinal interdisciplinary study assessing students' abilities to use what they learned from IPLS …
Re: August 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister
Re: August 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Comparative Analysis In The Effectiveness Of Real Vs. Virtual Labs In Enhancing Students’ Conceptual Understanding Of Archimedes’ Principle, Judeanto Edy, Sutopo Sutopo, Edi Supriana
Comparative Analysis In The Effectiveness Of Real Vs. Virtual Labs In Enhancing Students’ Conceptual Understanding Of Archimedes’ Principle, Judeanto Edy, Sutopo Sutopo, Edi Supriana
Jurnal Pendidikan Sains
This research aimed to investigate the effectiveness of virtual laboratories compared to real laboratories in improving students’ conceptual understanding of Archimedes’ principle. A quantitative approach was employed using a pretest-posttest design. The measurement instrument used in this study was a concept mastery test, consisting of 15 multiple-choice questions. Data were analyzed using an independent sample T-test. The research involved students from two XI IPA classes, each consisting of 33 students. The findings indicated that both virtual and real laboratories in the learning process could enhance students’ conceptual understanding. The study concluded that there was no significant difference between the virtual …
Predicting Students' Academic Performance Via Machine Learning Algorithms: An Empirical Review And Practical Application, Edmund F. Agyemang, Joseph A. Mensah, Obu-Amoah Ampomah, Louis Agyekum, Justice Akuoko-Frimpong, Amma Quansah, Oluwaferanmi M. Akinlosotu
Predicting Students' Academic Performance Via Machine Learning Algorithms: An Empirical Review And Practical Application, Edmund F. Agyemang, Joseph A. Mensah, Obu-Amoah Ampomah, Louis Agyekum, Justice Akuoko-Frimpong, Amma Quansah, Oluwaferanmi M. Akinlosotu
School of Mathematical & Statistical Sciences Faculty Publications
Predicting academic outcomes is complex and influenced by factors like socioeconomic background, motivation, and learning style. Machine Learning (ML) algorithms have become increasingly important due to their ability to analyze large data volumes and identify prediction patterns. Results show ML’s success in predicting academic performance, though effectiveness varies by dataset, algorithm choice, and training features. There is no consensus on the most effective ML method for predicting student performance with broad applicability. Among the five algorithms evaluated in this study, the Random Forest Classifier emerged as the best model, achieving the highest G-Mean and accuracy of 0.9243 and 85.42% respectively. …
Privacy Risks And Regulatory Challenges In Smart Grids And Renewable Energy Systems, Mikołaj Rajca
Privacy Risks And Regulatory Challenges In Smart Grids And Renewable Energy Systems, Mikołaj Rajca
internetowy Kwartalnik Antymonopolowy i Regulacyjny (internet Quarterly on Antitrust and Regulation)
Smart grid technologies are central to the global shift towards a more efficient and sustainable energy infrastructure, integrating advanced digital systems with traditional power networks. While these technologies offer significant benefits, including enhanced energy management and the seamless integration of renewable energy sources, they also introduce complex privacy challenges. The extensive data collection and real-time communication capabilities inherent in smart grids raise concerns over consumer privacy, data breaches, and cybersecurity threats. This paper critically examines these privacy risks within the context of evolving regulatory frameworks such as the GDPR, NIS2 Directive, and the forthcoming EU AI Act. The discussion emphasizes …
Quinoxaline 1,4-Di-N-Oxide Derivatives As New Antinocardial Agents, Isidro Palos, Alonzo Gonzalez-Gonzalez, Alma D. Paz-Gonzalez, José C. Espinoza-Hicks, Debasish Bandyopadhyay, Norma Paniagua-Castro, Marlene S. Galeana-Salazar, Jorge Ismael Castañeda-Sánchez, Julieta Luna-Herrera, Gildardo Rivera-Sanchez
Quinoxaline 1,4-Di-N-Oxide Derivatives As New Antinocardial Agents, Isidro Palos, Alonzo Gonzalez-Gonzalez, Alma D. Paz-Gonzalez, José C. Espinoza-Hicks, Debasish Bandyopadhyay, Norma Paniagua-Castro, Marlene S. Galeana-Salazar, Jorge Ismael Castañeda-Sánchez, Julieta Luna-Herrera, Gildardo Rivera-Sanchez
School of Integrative Biological & Chemical Sciences Faculty Publications
Mycetoma is currently considered as a neglected tropical disease. The incidence of mycetoma is unknown but most of the worldwide cases are present in the “mycetoma belt” including countries like Mexico, India, Senegal, and others. The treatment of mycetoma depends on the etiological agent responsible for the case. Treatment success reaches 60 to 90%; however, common treatment has been reported to be ineffective in some cases, due in part to resistance to the prescribed antibiotics. Therefore, it is necessary to develop new therapeutic options. In the past two decades, quinoxaline derivatives have shown relevance as antibacterial agents. Therefore, in this …
Impacts Of Climate Change In The United States, Nathan T. Thompson
Impacts Of Climate Change In The United States, Nathan T. Thompson
Journal of Nonprofit Innovation
Climate change, a shift in long-term climate patterns primarily driven by anthropogenic factors, poses a super wicked problem impacting every sector and region globally, including the United States. This paper explores the scientific basis of climate change, its contributing factors, and the myriad consequences on terrestrial and aquatic systems, as well as mental health. Notably, the emission of greenhouse gases from fossil fuels and agricultural activities is the primary cause, exacerbated by ideological division and psychological distance. The U.S. has seen some progress with a 7% decrease in emissions over the past 30 years and a growing shift toward renewable …
Aging Characteristics Of Lithium-Ion Battery Under Fast Charging Based On Electrochemical-Thermal-Mechanical Coupling Model, Dong-Xu Zuo, Pei-Chao Li
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 …