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Articles 41611 - 41640 of 1326676
Full-Text Articles in Entire DC Network
Ricky Kamdem-Ouaffo V. Fein Such Kahn & Shepard
Ricky Kamdem-Ouaffo V. Fein Such Kahn & Shepard
2025 Decisions
USDC for the District of New Jersey
A Collective Case Study Of How Researchers Describe Their Experiences, Challenges, And Perceived Impact Of Patient Engagement, Lorna M. Richards
A Collective Case Study Of How Researchers Describe Their Experiences, Challenges, And Perceived Impact Of Patient Engagement, Lorna M. Richards
Doctor of Philosophy in Translational Health Sciences Dissertations
Background: Patient engagement (PE) in clinical research has become “extensively and internationally recognized as important and gained growing policy attention, supported by scientific evidence” (Al-Tannir et al., 2017, Background section). The proliferation of PE directives has driven the paradigm shift in drug development from a paternalistic approach to a more patient-centric approach influenced by regulatory agencies, funders, and academic initiatives (Bombak & Hanson, 2017). However, too often, PE activities are not well considered for discovering actionable insights but are merely an empty formality. For PE to be meaningful, patient involvement must be planned, supported, and valued by clinical researchers.
Objectives: …
In Re: Wawa, Inc. Data Security Litigation
In Re: Wawa, Inc. Data Security Litigation
2025 Decisions
USDC for the Eastern District of Pennsylvania
Adalberto Pino-Porras V. Attorney General United States Of America
Adalberto Pino-Porras V. Attorney General United States Of America
2025 Decisions
Agency
Understanding The Effect Of Chiral Nn Parametrization On Nuclear Shapes From An Ab Initio Perspective, Kevin S. Becker, Kristina D. Launey, Andreas Ekström, Grigor H. Sargsyan, Darin C. Mumma, Tomáš Dytrych, Daniel Langr, Jerry P. Draayer
Understanding The Effect Of Chiral Nn Parametrization On Nuclear Shapes From An Ab Initio Perspective, Kevin S. Becker, Kristina D. Launey, Andreas Ekström, Grigor H. Sargsyan, Darin C. Mumma, Tomáš Dytrych, Daniel Langr, Jerry P. Draayer
Faculty Publications
The ab initio symmetry-adapted no-core shell model naturally describes nuclear deformation and collectivity, and is therefore well-suited to studying the dynamics and coexistence of shapes in atomic nuclei. For the first time, we analyze how these features in low-lying states of6Li and12C are impacted by the underlying realistic nucleon-nucleon interaction. We find that the interaction parametrization has a notable but limited effect on collective shapes in the lowest6Li and12C states, while collective structures in the excited 2+ state of12C are significantly more sensitive to the interaction parameters and exhibits …
Accurate Crop Yield Prediction Via Temporal Convolutional Network And Variational Autoencoder, Lei Liu, Xiaoling Song
Accurate Crop Yield Prediction Via Temporal Convolutional Network And Variational Autoencoder, Lei Liu, Xiaoling Song
Turkish Journal of Agriculture and Forestry
With the advancement of technology, smart agriculture assumes a pivotal role in enhancing the efficiency and sustainability of agricultural production. Nevertheless, accurately forecasting crop yields and understanding their determining factors often faces limitations inherent in conventional data processing techniques. To address this challenge, this study proposes a TCN-VAE framework, amalgamating temporal convolutional networks (TCNs) and variational autoencoders (VAEs), to tackle the crop yield prediction task in smart agricultural systems. The framework intricately models four principal categories of features—meteorological conditions, soil conditions, agricultural management, and environmental conditions—via TCN and compensates for missing data using VAE, thereby achieving a comprehensive analysis and …
Variational Monte Carlo Optimization Of Proton-Proton Scattering Potential Using The Phase Function Method, Shikha Awasthi, Anil Khachi, O.S.K.S. Sastri
Variational Monte Carlo Optimization Of Proton-Proton Scattering Potential Using The Phase Function Method, Shikha Awasthi, Anil Khachi, O.S.K.S. Sastri
Turkish Journal of Physics
The Riccati-type nonlinear differential equation, also known as the Phase Function equation, is used to construct local inverse potentials for the 1S0 - pp state by bypassing the well-known Schrödinger equation. The pp interaction is described using the Malfliet-Tjon potential model for the nuclear component combined with a screened Coulomb potential, with the phase equation solved via the fourth-order Runge-Kutta (RK-4) method. Based on our analysis, we confirm that the optimized interaction potential closely matches the well-known realistic Argonne V18 and Reid potentials for the 1S0 state, and the computed phase shifts and cross-sections show excellent agreement with experimental data. …
Plane Xanthoma, Connor A. Sheehan, Theresa N. Tran, Jason B. Lee, Jeffrey Y. Liu, Sylvia Hsu
Plane Xanthoma, Connor A. Sheehan, Theresa N. Tran, Jason B. Lee, Jeffrey Y. Liu, Sylvia Hsu
Department of Dermatology and Cutaneous Biology Faculty Papers
No abstract provided.
Thermal Design Overview, Utah State University Space Dynamics Laboratory
Thermal Design Overview, Utah State University Space Dynamics Laboratory
Space Dynamics Laboratory Publications
Preface
- Introductions
- Work Based on "Small Satellite Thermal Modeling Guide, Initial Release, July 2022"
- Air Force Research Laboratory Space Vehicles Directorate (AFRL/RVSV)
- Purpose
- Introduce methods/concepts to develop and analyze a small satellite thermal model
- Understand why thermal modeling and thermal analysis are important
- Understand common pitfalls
- Learn about available resources
Selecting An Internal Carbon Price For Academic Institutions, Alexander R. Barron, Dimitra Prassa
Selecting An Internal Carbon Price For Academic Institutions, Alexander R. Barron, Dimitra Prassa
Environmental Science and Policy: Faculty Publications
Many businesses have adopted internal carbon prices (ICPs) to help drive smarter business decisions, innovation, and emissions reductions. The objective of this white paper is to provide a framework that institutions, particularly those in higher education, can use as they think about selecting a price in the context of their own goals for an ICP.
Second Nature’s recent 2025 Carbon Markets and Offsets guidance recommends that: “colleges and universities develop a climate action strategy that includes some type of internal carbon pricing, either as a mechanism to inform climate-positive decision-making or as a mechanism for generating revenue estimates for decarbonization …
Homework, Households, And Hurdles: The Unexpected Drivers Of Student Graduation Perceptions, Daniel Alhassan, Zahra Fatah, Priscilla Mansah Codjoe, Caroline Bena Kuno, Dorcas Ofori-Boateng
Homework, Households, And Hurdles: The Unexpected Drivers Of Student Graduation Perceptions, Daniel Alhassan, Zahra Fatah, Priscilla Mansah Codjoe, Caroline Bena Kuno, Dorcas Ofori-Boateng
Mathematics and Statistics Faculty Publications and Presentations
Students’ perceptions of their likelihood to graduate are important determinants of their academic engagement, yet these perceptions remain understudied. This study, which is based on the 2021 Monitoring the Future survey of 8th- and 10th-grade students in the United States, uses machine learning algorithms to identify the most important factors that influence these perceptions. Among the tested models, random forest provided the best classification performance. Using permutation-based feature importance, we identified frequent participation in schoolwork, maternal education, paternal education, and homework completion as the most important predictors of students’ graduation perceptions. These results highlight the importance of targeted and well-coordinated …
A Rubric For Assessing Conformance To The Ten Rules For Credible Practice Of Modeling And Simulation In Healthcare, Alexandra Manchel, Ahmet Erdemir, Lealem Mulugeta, Joy Ku, Bruno Rego, Marc Horner, William Lytton, Jerry Myers, Rajanikanth Vadigepalli
A Rubric For Assessing Conformance To The Ten Rules For Credible Practice Of Modeling And Simulation In Healthcare, Alexandra Manchel, Ahmet Erdemir, Lealem Mulugeta, Joy Ku, Bruno Rego, Marc Horner, William Lytton, Jerry Myers, Rajanikanth Vadigepalli
Computational Medicine Center Faculty Papers
The power of computational modeling and simulation (M&S) is realized when the results are credible, and the workflow generates evidence that supports credibility for the context of use. The Committee on Credible Practice of Modeling & Simulation in Healthcare was established to help address the need for processes and procedures to support the credible use of M&S in healthcare and biomedical research. Our community efforts have led to the Ten Rules (TR) for Credible Practice of M&S in life sciences and healthcare. This framework is an outcome of a multidisciplinary investigation from a wide range of stakeholders beginning in 2012. …
The Impact Of Loper Bright V. Raimondo: An Empirical Review Of The First Six Months, Robin Kundis Craig
The Impact Of Loper Bright V. Raimondo: An Empirical Review Of The First Six Months, Robin Kundis Craig
Minnesota Law Review Vols. 106:2 onward (2021-present)
One of the most impactful decisions of the U.S. Supreme Court’s 2023–2024 term was Loper Bright Enterprises v. Raimondo, which overruled the forty-year-old administrative law doctrine of Chevron deference. This doctrine allowed federal agencies to interpret ambiguities in the statutes that they administer. Courts cited Chevron over 18,000 times in its forty-year existence, or roughly 450 times a year—more than once a day, on average. Small wonder, then, that in the first six months after the Supreme Court decided Loper Bright, courts cited it more than 400 times. This article provides an empirical review of what courts are doing with …
Memory Matters: The Journals Of Cecilia Maria O’Conway And Rosetta Landry White, Betty Ann Mcneil
Memory Matters: The Journals Of Cecilia Maria O’Conway And Rosetta Landry White, Betty Ann Mcneil
Vincentian Studies
Betty Ann McNeil describes the journals of two of the very first Sisters of Charity, Cecilia Maria O’Conway and Rosetta (Rose) Landry White, who knew Saint Elizabeth Ann Seton and her family. Cecilia was the first to join Elizabeth in Baltimore as a Sister of Charity in early December 1808 at age twenty-one. McNeil tells us, “Cecilia taught at St. Joseph’s School until missioned to Philadelphia (1814) and New York (1817)” before withdrawing from the Sisters of Charity in 1823. At age twenty-five, Rose joined Elizabeth in late June 1809 and served as mother of the Sisters of Charity after …
Evolution Of Wormholes Under F(R, T) Theory, The Karmarkar Condition And The Casimir Energy, Murat Metehan Türkoğlu
Evolution Of Wormholes Under F(R, T) Theory, The Karmarkar Condition And The Casimir Energy, Murat Metehan Türkoğlu
Turkish Journal of Physics
In this study, both the evolution of wormholes (by examining both the energy conditions and using the TOV equations) and the effects of the Karmarkar condition on the solutions obtained under certain specific cases were examined in the light of the f(R, T) gravity theory, using two f(R, T) functions predicted to describe the accelerated expansion of the universe. In this context, for the first time in the literature, a generalized shape function was obtained using the Karmarkar condition. It was observed that solutions of the type R -a12/R+a2g(T) satisfy the energy conditions (with the dominant energy condition being partially …
Green Biosynthesis Of Cobalt Oxide Nanoparticles Using Saccharum Munja Leaf Extract As A Catalyst For Callus Induction In Carnation (Dianthus Caryophyllus L.) Plants, Ishtiaq Ahmad, Sameed Arshad Chaudhry, Maryam Maryam, Aysha Arif Chahel, Riaz Ahmad, Mehmet Ramazan Bozhüyük, İbrahi̇m Bozkurt, Magda Abdel-Rahman, Konstantin Korolev
Green Biosynthesis Of Cobalt Oxide Nanoparticles Using Saccharum Munja Leaf Extract As A Catalyst For Callus Induction In Carnation (Dianthus Caryophyllus L.) Plants, Ishtiaq Ahmad, Sameed Arshad Chaudhry, Maryam Maryam, Aysha Arif Chahel, Riaz Ahmad, Mehmet Ramazan Bozhüyük, İbrahi̇m Bozkurt, Magda Abdel-Rahman, Konstantin Korolev
Turkish Journal of Agriculture and Forestry
The common name of a wild grass native to Pakistan with both edible and medicinal properties is Saccharum munja Roxb. (S. munja). Prior research has investigated various plant species for the green biosynthesis of nanoparticles to circumvent issues related to their physical and chemical production. This study presents the first evidence of synthesizing cobalt oxide nanoparticles (Co3O4NPs) using S. munja leaf extract (SMLE) as both a reducing and a capping agent. This study investigated their ability to induce in vitro callus formation in Dianthus caryophyllus L. (carnation). In this study, Co3O4NPs were synthesized using varying quantities of SMLE to achieve …
A Comprehensive Review Of Fermentation Technologies In Food Processing: From Traditional To Cutting Edge, Pragati Singh, Niharika Arya, Shalini Sharma, Ankita Sharma, Prasad Rasane, Supriya Singh Gaur, Sawinder Kaur, Mahendra Gunjal, Hasan Kiliçgün, Jyoti Singh
A Comprehensive Review Of Fermentation Technologies In Food Processing: From Traditional To Cutting Edge, Pragati Singh, Niharika Arya, Shalini Sharma, Ankita Sharma, Prasad Rasane, Supriya Singh Gaur, Sawinder Kaur, Mahendra Gunjal, Hasan Kiliçgün, Jyoti Singh
Turkish Journal of Agriculture and Forestry
Fermentation technologies play crucial roles in food processing, offering various advantages, including enhanced flavor profiles, extended shelf life, and improved nutritional qualities. This paper provides a comprehensive overview on the major types of fermentation as well as effects of various factors such as substrate composition, temperature, pH, oxygen availability, and microbial strain selection on the process. Despite its widespread application, traditional fermentation processes face limitations related to yield optimization, contamination risks, and process consistency. Recent advancements have significantly enhanced fermentation efficiency, product quality, and scalability, ultimately expanding the applications beyond food and beverage production into pharmaceuticals, nutraceuticals, biofuels, and waste …
The Parthenon, June 25, 2025, Baylee Parsons, Kaitlyn Fleming, Ashton Pack, Nate Harrah, Soleil Woolard
The Parthenon, June 25, 2025, Baylee Parsons, Kaitlyn Fleming, Ashton Pack, Nate Harrah, Soleil Woolard
The Parthenon
No abstract provided.
Construction And Application Of A Tcn-Lstm-Svm-Based Time Series Prediction Model For Water Inflow In Coal Seam Roofs, Liu Xuan, Ji Yadong, Zhu Kaipeng, Zhao Chunhu, Li Kai, Li Chaofeng, Yuan Chenhan, Li Panpan, Yan Pengzhen
Construction And Application Of A Tcn-Lstm-Svm-Based Time Series Prediction Model For Water Inflow In Coal Seam Roofs, Liu Xuan, Ji Yadong, Zhu Kaipeng, Zhao Chunhu, Li Kai, Li Chaofeng, Yuan Chenhan, Li Panpan, Yan Pengzhen
Coal Geology & Exploration
Background The accurate prediction of mine water inflow plays a significant role in the prevention and control of water hazards and the safe and efficient production in coal mines. Methods To construct a prediction model of water inflow in mines under threat of water hazards from extremely thick sandstones aquifer in West China, this study investigated a typical mine (also referred to as the studied mine) severely affected by such water hazards in the Binchang mining area of Shaanxi Province. The correlation between the mining footage and water inflow of the mining face was selected as the characteristic variable for …
Effectiveness Of Seca Skin Public Relations Marketing Through Live Streaming On Tiktok, Mochamad Alvansa, Margareta Manalu
Effectiveness Of Seca Skin Public Relations Marketing Through Live Streaming On Tiktok, Mochamad Alvansa, Margareta Manalu
Journal of Indonesian Tourism and Policy Studies
This study examines the utilization of TikTok's live streaming feature as a public relations marketing strategy in the beauty industry. Using a qualitative descriptive method, the research is grounded in public relations marketing and live streaming theories. Through in-depth interviews, it explores how the beauty brand Seca Skin optimizes this feature to expand market reach, increase sales, and enhance consumer engagement. The findings reveal that Seca Skin successfully meets four key aspects of live-stream selling: Attractiveness, Trustworthiness, Expertise, and Purchase Convenience. These factors contribute to higher audience engagement, strengthened customer loyalty, and more effective purchasing decisions. Moreover, the study highlights …
Probation Officers’ Perspectives Of Outside Services In Reducing Recidivism, Karla Murguia
Probation Officers’ Perspectives Of Outside Services In Reducing Recidivism, Karla Murguia
Walden Dissertations and Doctoral Studies
Research has underscored the critical role of probation officers in improving rates of recidivism. However, the literature on the comprehensive impact of outside services on recidivism was sparse and underdeveloped. The purpose of this qualitative study was to explore how probation officers in court services and a community corrections agency in Garden City, Kansas perceived the utility of outside services in reducing adult recidivism for probationers. Ecological systems theory was used to guide the study. Eight probation officers recruited via purposive sampling participated in semistructured interviews. Transcribed data were analyzed using a six-step thematic analysis protocol. Findings revealed that probationers …
Law Enforcement Officers’ Perceptions About Antipolice Sentiment And Social Media As A Force Multiplier, Edward Peter Pope
Law Enforcement Officers’ Perceptions About Antipolice Sentiment And Social Media As A Force Multiplier, Edward Peter Pope
Walden Dissertations and Doctoral Studies
As a newly emergent form of mass communication, social media platforms can act as a force multiplier in fomenting negative and critical attitudes or viewpoints toward law enforcement officers and agencies. The purpose of this qualitative study was to examine the perceptions and lived experiences of law enforcement officers about antipolice sentiment and social media as a force multiplier. Amid growing concerns regarding public opinion and the impact of social media on law enforcement practices, more research was needed on how officers navigate and interpret these challenges. Data from in-depth interviews with 10 law enforcement officers were thematically analyzed to …
A Conditional Point Cloud Diffusion Model For Deformable Liver Motion Tracking Via A Single Arbitrarily-Angled X-Ray Projection, Jiacheng Xie, Hua-Chieh Shao, Yunxiang Li, Shunyu Yan, Chenyang Shen, Jing Wang, You Zhang
A Conditional Point Cloud Diffusion Model For Deformable Liver Motion Tracking Via A Single Arbitrarily-Angled X-Ray Projection, Jiacheng Xie, Hua-Chieh Shao, Yunxiang Li, Shunyu Yan, Chenyang Shen, Jing Wang, You Zhang
Faculty, Staff and Student Publications
Objective. Deformable liver motion tracking using a single x-ray projection enables real-time motion monitoring and treatment intervention. We introduce a conditional point cloud diffusion (PCD) model-based framework for accurate and robust liver motion tracking from arbitrarily angled single x-ray projections. Approach. We propose a conditional PCD model for liver motion tracking (PCD-Liver), which estimates volumetric liver motion by solving deformable vector fields (DVFs) of a prior liver surface point cloud, based on a single x-ray image. It is a patient-specific model of two main components: a rigid alignment model to estimate the liver’s overall shifts, and a conditional PCD …
Pharmaceutical Innovation Through Computational Drug Design: A Comprehensive Exploration, Manasa Chandramouli, Madhusudhan Heggadadevanakote Surendra
Pharmaceutical Innovation Through Computational Drug Design: A Comprehensive Exploration, Manasa Chandramouli, Madhusudhan Heggadadevanakote Surendra
Makara Journal of Science
Chemical biology and computer-aided drug design (CADD) are crucial for identifying and optimizing lead molecules in drug development. Chemical biology is employed to determine the biological function of the target and the mode of action of a chemical modulator. At the same time, in CADD, promising candidate medications are identified based on the structure of the target or known bioactive ligands. Structure-based and ligand-based drug designs should be used in tandem, and their integration with experimental methods can considerably accelerate drug design. Furthermore, the use of CADD along with conventional experimental approaches increases the efficiency and accuracy of the discovery …
Correction: Identification Of A Fusobacterial Rna-Binding Protein Involved In Host Small Rna-Mediated Growth Inhibition, Pu-Ting Dong, Mengdi Yang, Jie Hu, Lujia Cen, Peng Zhou, Difei Xu, Peng Xiong, Jiahe Li, Xuesong He
Correction: Identification Of A Fusobacterial Rna-Binding Protein Involved In Host Small Rna-Mediated Growth Inhibition, Pu-Ting Dong, Mengdi Yang, Jie Hu, Lujia Cen, Peng Zhou, Difei Xu, Peng Xiong, Jiahe Li, Xuesong He
Faculty, Staff and Student Publications
No abstract provided.
Phytoremediation Of Lead Heavy Metals In The Mangrove Ecosystem Of The Lembar Harbor Area, West Lombok Regency, Indonesia, Firman Ali Rahman/Firman, Muhammad Shohibul Ihsan, Dwi Agustini, Ervina Titi Jayanti
Phytoremediation Of Lead Heavy Metals In The Mangrove Ecosystem Of The Lembar Harbor Area, West Lombok Regency, Indonesia, Firman Ali Rahman/Firman, Muhammad Shohibul Ihsan, Dwi Agustini, Ervina Titi Jayanti
Makara Journal of Science
Mangroves play a vital role as bioindicator plants in port areas with the potential for non-essential heavy metal contamination. This study aimed to determine the potential for phytoremediation of lead heavy metal in mangrove vegetation resulting from port operations. The research was conducted in the mangrove ecosystem of Lembar Harbor, West Lombok Regency, West Nusa Tenggara, Indonesia. Substrate, leaf, and root samples were collected using a purposive random sampling technique and analysis for testing the lead heavy metal content using atomic absorption spectrophotometry. The results showed that the average heavy metal content of lead accumulated in the substrate in each …
Isolation And Selection Of Bacillus Spp. As Candidate Probiotics For Use In Chickens, Adilah Adawiah, Komang Gede Wiryawan, Anja Meryandini
Isolation And Selection Of Bacillus Spp. As Candidate Probiotics For Use In Chickens, Adilah Adawiah, Komang Gede Wiryawan, Anja Meryandini
Makara Journal of Science
The growth rate of chickens can be improved by using probiotics as alternatives to antibiotics. Bacillus spp. as probiotics are particularly beneficial due to ability to form spores, which remain stable as commercial products over extended periods. This study aimed to isolate and select Bacillus spp. from Jasinga soil as probiotic candidates for chickens. A total of 15 isolates obtained of these, 12 were identified as Bacillus spp based on microscopic observations and screening test including ascertaining hemolysis, protease, amylase, and cellulase activities. Only six isolates exhibited gamma hemolysis and the ability to hydrolyze proteins, starch, and cellulose. Isolates BTJ1.1, …
Exploring The Translation Lookaside Buffer (Tlb) For Low-Level Task Differentiation And Classification, Cristian Agredo, Daniel F. Koranek, Christine M. Schubert, Jose A. Gutierrez Del Arroyo, Tor J. Langehaug, Scott R. Graham
Exploring The Translation Lookaside Buffer (Tlb) For Low-Level Task Differentiation And Classification, Cristian Agredo, Daniel F. Koranek, Christine M. Schubert, Jose A. Gutierrez Del Arroyo, Tor J. Langehaug, Scott R. Graham
Faculty Publications
The primary focus of modern Central Processing Unit (CPU) technologies is performance improvement, with security often considered a secondary concern. As a result, vulnerabilities within the system are overlooked. While significant research, both offensive and defensive, has been conducted on CPU caches, relatively little attention has been given to the Translation Lookaside Buffer (TLB) due to its perceived lack of data granularity. Prior studies have typically combined multiple Hardware Performance Counters (HPCs) or relied on timing analysis to extract meaningful insights. In contrast, this study introduces a novel methodology that leverages only TLB related HPCs for multi-task classification, without incorporating …
Impact Of Antimicrobial-Impregnated Dressings On The Rate Of Periprosthetic Joint Infections In Primary Joint Arthroplasty Surgeries Of The Hip And Knee, Michael Critelli, Janae Rasmussen, Sydney Shindler, Collin Reasch, Aaditya Patel, Mihir Patel, Jesua Law
Impact Of Antimicrobial-Impregnated Dressings On The Rate Of Periprosthetic Joint Infections In Primary Joint Arthroplasty Surgeries Of The Hip And Knee, Michael Critelli, Janae Rasmussen, Sydney Shindler, Collin Reasch, Aaditya Patel, Mihir Patel, Jesua Law
Student Publications
Periprosthetic joint infections (PJIs), are a serious complication following total joint arthroplasty (TJA) of the hip and knee. Antimicrobialimpregnated dressings (AMIDs) are emerging as an adjunct measure to reduce microbial growth at the surgical site. This literature review examines the evidence regarding iodine and silver AMIDs in primary TJA of the hip and knee. Evidence indicates that use of AMIDs can be highly beneficial in high-risk infection patients, especially silver-based AMIDs to reduce the incidence of PJIs. Studies showed silver- and iodine-based AMIDs have comparable effects on healing wounds colonized by Staphylococcus aureus. There remains debate regarding the appropriate clinical …
The Impact Of Artificial Intelligence On Ecojustice And Ethics, Vishnu S. Pendyala
The Impact Of Artificial Intelligence On Ecojustice And Ethics, Vishnu S. Pendyala
Faculty Research, Scholarly, and Creative Activity
Artificial Intelligence (AI) has attained human-level performance in tasks like text summarization, machine translation, and code generation while handling multimodal data. Despite these advances, AI poses challenges such as generating false or biased outputs, causing discrimination, and exhibiting opaque decision-making processes that hinder bias mitigation. Additionally, training large language models (LLMs) for AI consumes substantial energy and can enable autonomous warfare, posing a threat to eco-justice, and raising sustainability concerns. Their ability to create realistic content poses the risk of misuse and perpetuating misinformation. This article addresses these ethical issues and presents solutions through regulation and technology, with examples of …