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Articles 162511 - 162540 of 1826817
Full-Text Articles in Entire DC Network
Redbird Scholar, Vol. 9, No. 2 (Spring 2024), Illinois State University, Office Of The Vice President For Research And Graduate Studies
Redbird Scholar, Vol. 9, No. 2 (Spring 2024), Illinois State University, Office Of The Vice President For Research And Graduate Studies
Redbird Scholar
No abstract provided.
Wellness As A Predictor Of Turnover Intention In The Active Duty Military, Thomas Clifford Seguin
Wellness As A Predictor Of Turnover Intention In The Active Duty Military, Thomas Clifford Seguin
Counseling & Human Services Theses & Dissertations
Due to the unique nature of military service compared to civilian professions, military attrition is difficult to predict using methods derived from career development theories, so turnover remains an ongoing concern for the active duty military. For this reason, military attrition, through turnover intention, should be investigated through a novel lens with the intention of capturing an essence of military service which previous methods may have overlooked, namely the holistic construct of perceived wellness. Previous studies have shown how wellness-related factors affect turnover intention, but none has studied the relationship between perceived wellness and turnover intention. The main hypothesis of …
The Experiences Of Multilingual Learning-Focused School Counselors: A Phenomenological Investigation, Chelsea Jo Hilliard
The Experiences Of Multilingual Learning-Focused School Counselors: A Phenomenological Investigation, Chelsea Jo Hilliard
Counseling & Human Services Theses & Dissertations
Equity in education has become increasingly prioritized, due to the growing mainstream recognition of the inequitable practices that historically have and presently continue to exist in K-12 education. With the K-12 student population diversity continuously increasing in areas such as abilities, race/ethnicities, socioeconomic status, languages, immigration status, and more, ensuring equitable access to education is vital. One such unique student group needing equitable access to education are multilingual learners or MLL. Located within schools, school counselors are uniquely positioned to equitably serve MLL students. Overall, while the research on school counselors serving MLL students (at the pre-service and practice level) …
Thermo-Elasto-Plastic Stability Of Biaxially Loaded Hollow Rectangular Section Steel Beam-Columns With Applied Torsion, George Adomako Kumi
Thermo-Elasto-Plastic Stability Of Biaxially Loaded Hollow Rectangular Section Steel Beam-Columns With Applied Torsion, George Adomako Kumi
Civil & Environmental Engineering Theses & Dissertations
Presented herein is an experimental and theoretical study of biaxially loaded hollow rectangular section steel beam-columns with applied torsion at elevated temperatures. The theoretical analysis is based on a system of simultaneous materially nonlinear differential equations of equilibrium for which an iterative semi-analytic solution approach is formulated. Although the primary goal of this research is to study the influence of elevated temperatures on the steel member with the complex loading, rigorous analysis is also conducted of the member at ambient temperature for comparison. The experimental part of the study involves conducting tests on the members at both ambient and high …
The Effects Of Covid-19 Stressors And Supervisor Support On Emotional Exhaustion And Work Engagement, Meiqiao Gu
The Effects Of Covid-19 Stressors And Supervisor Support On Emotional Exhaustion And Work Engagement, Meiqiao Gu
Psychology Theses & Dissertations
Since the onset of the COVID-19 pandemic, working conditions have worsened, subjecting employees to numerous stressors. Analyzing the impact of COVID-19 stressors on employees‘ well-being and work motivation is crucial. The job demands-resources model (JD-R; Demerouti et al., 2001a) provides a framework for evaluating how COVID-19 stressors affect employees‘ well-being and motivation in the workplace. Given the complexity of job characteristics during the COVID-19 pandemic, coupled with challenges in obtaining adequate support from supervisors who are also facing considerable work pressure, this study examines the continued relevance of the JD-R model in this evolving work environment. Specifically, four hypotheses were …
The Eliahou-Kervaire Resolution Over A Skew Polynomial Ring, Luigi Ferraro, Alexis Hardesty
The Eliahou-Kervaire Resolution Over A Skew Polynomial Ring, Luigi Ferraro, Alexis Hardesty
School of Mathematical & Statistical Sciences Faculty Publications
In a 1987 paper, Eliahou and Kervaire constructed a minimal resolution of a class of monomial ideals in a polynomial ring, called stable ideals. As a consequence of their construction they deduced several homological properties of stable ideals. Furthermore they showed that this resolution admits an associative, graded commutative product that satisfies the Leibniz rule. In this paper we show that their construction can be extended to stable ideals in skew polynomial rings. As a consequence we show that the homological properties of stable ideals proved by Eliahou and Kervaire hold also for stable ideals in skew polynomial rings.
Slipping Into Judicial Barbarism?, Pranav Verma
Slipping Into Judicial Barbarism?, Pranav Verma
Articles
Book Review | Gautam Bhatia, Unsealed Covers: A Decade of the Constitution, the Courts and the State, HarperCollins Publisher India, 2023
Enhancing Health Analytics: Secure And Private Federated Learning Solutions, Nisha Thorakkattu Madathil
Enhancing Health Analytics: Secure And Private Federated Learning Solutions, Nisha Thorakkattu Madathil
Dissertations
Federated Learning (FL) is a collaborative method allowing individuals to train a model jointly without sharing their local datasets. It utilizes decentralized data sources to protect privacy, making it particularly promising in medical contexts where data confidentiality is paramount. FL facilitates the use of diverse datasets from various healthcare organizations while upholding patient confidentiality. It also plays a crucial role in advancing medical research and healthcare services while adhering to data distribution and compliance requirements. The primary challenges within federated healthcare encompass privacy preservation among sensitive distributed data, ensuring efficient communication, addressing data heterogeneity, and ultimately guaranteeing model accuracy. To …
Toward An Ethical Human-Computer Division Of Labor In Law Practice, Abdi Aidid
Toward An Ethical Human-Computer Division Of Labor In Law Practice, Abdi Aidid
Fordham Law Review
In this Essay, I explain that responsible and ethical use of AI in law practice requires reconceptualizing the lawyer’s professional relationship to technology. The current commercial-industrial relationship is based on a stylized model of technology as mechanical application, not calibrated to emergent AI-enabled technologies. Put differently, lawyers cannot interact with AI-enabled technologies the way that they traditionally interact with, say, word processors. For AI-enabled technologies, I explain that a “division of labor” framework is more fruitful; like horizontal professional relationships between peers or vertical ones in professional hierarchies, lawyers ought to interact with sophisticated technologies through arrangements that optimize for …
Of Another Mind: Ai And The Attachment Of Human Ethical Obligations, Katherine B. Forrest
Of Another Mind: Ai And The Attachment Of Human Ethical Obligations, Katherine B. Forrest
Fordham Law Review
We are entering a new world. A world in which we humans will be confronted with our intellectual limitations as we watch the evolution of artificial intelligence (AI) that we have created meet and exceed our capabilities. I have a few predictions about this—based first on how technology changes occur, with a layer of how human nature reacts to those changes.
My first prediction is that we may not initially recognize AI’s actual capabilities. We will find ways of describing what AI can do as somehow mimicry—the advances of a stochastic parrot, perhaps; we will not want to recognize our …
National Security And Federalizing Data Privacy Infrastructure For Ai Governance, Margaret Hu, Eliott Behar, Davi Ottenheimer
National Security And Federalizing Data Privacy Infrastructure For Ai Governance, Margaret Hu, Eliott Behar, Davi Ottenheimer
Fordham Law Review
This Essay contends that data infrastructure, when implemented on a national scale, can transform the way we conceptualize artificial intelligence (AI) governance. AI governance is often viewed as necessary for a wide range of strategic goals, including national security. It is widely understood that allowing AI and generative AI to remain self-regulated by the U.S. AI industry poses significant national security risks. Data infrastructure and AI oversight can assist in multiple goals, including: maintaining data privacy and data integrity; increasing cybersecurity; and guarding against information warfare threats. This Essay concludes that conceptualizing data infrastructure as a form of critical infrastructure …
The Legal Imitation Game: Generative Ai’S Incompatibility With Clinical Legal Education, Jake Karr, Jason Schultz
The Legal Imitation Game: Generative Ai’S Incompatibility With Clinical Legal Education, Jake Karr, Jason Schultz
Fordham Law Review
In this Essay, we briefly describe key aspects of [generative artificial intelligence] that are particularly relevant to, and raise particular risks for, its potential use by lawyers and law students. We then identify three foundational goals of clinical legal education that provide useful frameworks for evaluating technological tools like GenAI: (1) practice readiness, (2) justice readiness, and (3) client-centered lawyering. First is “practice readiness,” which is about ensuring that students have the baseline abilities, knowledge, and skills to practice law upon graduation. Second is “justice readiness,” a concept proposed by Professor Jane Aiken, which is about teaching law students to …
Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi
Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi
Fordham Law Review
A profound shift is occurring in the way many decisions are made, with machines taking greater roles in the decision-making process. Two arguments are often advanced to justify the increasing use of automation and algorithms in decisions. The “Awful Human Argument” asserts that human decision-making is often awful and that machines can decide better than humans. Another argument, the “Better Together Argument,” posits that machines can augment and improve human decision-making. These arguments exert a powerful influence on law and policy.
In this Essay, we contend that in the context of making decisions about humans, these arguments are far too …
Fairness And Fair Use In Generative Ai, Matthew Sag
Fairness And Fair Use In Generative Ai, Matthew Sag
Fordham Law Review
Although we are still a long way from the science fiction version of “artificial general intelligence” that thinks, feels, and refuses to “open the pod bay doors,” recent advances in machine learning and artificial intelligence (AI) have captured the public’s imagination and lawmakers’ interest. We now have large language models (LLMs) that can pass the bar exam, carry on (what passes for) a conversation about almost any topic, create new music, and create new visual art. These artifacts are often indistinguishable from their human-authored counterparts and yet can be produced at a speed and scale surpassing human ability.
“Generative AI” …
Chatgpt, Large Language Models, And Law, Harry Surden
Chatgpt, Large Language Models, And Law, Harry Surden
Fordham Law Review
This Essay explores Artificial Intelligence (AI) Large Language Models (LLMs) like ChatGPT/GPT-4, detailing the advances and challenges in applying AI to law. It first explains how these AI technologies work at an understandable level. It then examines the significant evolution of LLMs since 2022 and their improved capabilities in understanding and generating complex documents, such as legal texts. Finally, this Essay discusses the limitations of these technologies, offering a balanced view of their potential role in legal work.
If We Could Talk To The Animals, How Should We Discuss Their Legal Rights?, Andrew W. Torrance, Bill Tomlinson
If We Could Talk To The Animals, How Should We Discuss Their Legal Rights?, Andrew W. Torrance, Bill Tomlinson
Fordham Law Review
The intricate tapestry of animal communication has long fascinated humanity, with the sophisticated linguistics of cetaceans holding a special place of intrigue due to the cetaceans’ significant brain size and apparent intelligence. This Essay explores the legal implications of the recent advancements in artificial intelligence (AI), specifically machine learning and neural networks, that have made significant strides in deciphering sperm whale (Physeter macrocephalus) communication. We view the ability of a being to communicate as one—but not the only—potential pathway to qualify for legal rights. As such, we investigate the possibility that the ability to communicate should trigger legal …
The First Religious Charter School: A Viable Option For School Choice Or Prohibited Under The State Action Doctrine And Religion Clauses?, Julia Clementi
The First Religious Charter School: A Viable Option For School Choice Or Prohibited Under The State Action Doctrine And Religion Clauses?, Julia Clementi
Fordham Law Review
After the First Amendment’s Religion Clauses were ratified, church and state became increasingly divorced from one another, as practicing religion became a private activity on which the government could not encroach. This separation, however, was slow, and much credit is owed to the U.S. Supreme Court for its efforts to disentangle the two. One particular area in which the Supreme Court exercised its influence was the U.S. education system; the Court invoked the Religion Clauses and neutrality principles to rid public schools of religious influences and ensure that private religious schools could partake in government programs that were available to …
Long-Range Analogizing After Bruen: How To Resolve The Circuit Split On The Federal Felon-In-Possession Ban, Sean Phillips
Long-Range Analogizing After Bruen: How To Resolve The Circuit Split On The Federal Felon-In-Possession Ban, Sean Phillips
Fordham Law Review
In 2023, over the course of one week, two U.S. courts of appeals ruled on Second Amendment challenges to 18 U.S.C. § 922(g)(1), the federal statute prohibiting firearm possession for those convicted of felonies. Both courts applied the U.S. Supreme Court’s “history and tradition” test from New York State Rifle & Pistol Ass’n v. Bruen. In the U.S. Court of Appeals for the Eighth Circuit, criminal defendant Edell Jackson did not succeed. There, the court found that the nation’s history and tradition supported the validity of a law banning firearm possession by felons, regardless of the details of their …
Graphene 2d Heterostructures For Thz Applications, Omnia Samy Shaaban
Graphene 2d Heterostructures For Thz Applications, Omnia Samy Shaaban
Dissertations
THz technology is a promising field that has various applications in communication, medical imaging and diseases’ detection, scanning, and the food industry. Since THz technology is still in its early stages, there is a lot of work to be done to obtain devices that work efficiently in the THz range. One of these devices is THz absorbers that are the basic building blocks for the next generation THz systems whether in communication systems, imaging or shielding. THz absorbers are structures that can absorb electromagnetic waves in the THz range (0.1-10 THz). THz absorbers can be wideband (absorb a wide range …
Digital Footprints: Technology, Race, And Justice, Cassandra Jones Havard
Digital Footprints: Technology, Race, And Justice, Cassandra Jones Havard
Cardozo Law Review
Data aggregation is ubiquitous. To widen credit access, lenders now use nonconventional sources of personal technological information to measure borrower creditworthiness. Alternative data credit scoring is touted as a useful solution for borrowers with little or no credit history or “thin credit files.” The supposedly neutral algorithm provides a predictive analysis of the borrower’s ability to repay, thus allowing the borrower to obtain credit within the formal banking network.
Alternative data has the potential to expand access to financial services for underserved populations and make credit markets more competitive. Machine learning, or predictive behavioral analytics, collects and sorts the borrower’s …
No Child Left Online: Influencer “Sharenting” As A Breach Of Fiduciary Duty, Caroline Harrod
No Child Left Online: Influencer “Sharenting” As A Breach Of Fiduciary Duty, Caroline Harrod
Cardozo Law Review
A controversy erupted on the video-sharing app TikTok in the summer of 2022, with audiences accusing a parenting influencer of exploiting her toddler daughter by posting compromising videos of her on the platform. The child’s mother, Jacquelyn, who runs the account @wren.eleanor, frequently shared videos of then-two-year-old Wren engaged in everyday activities such as riding a bicycle, going to the park, and eating snacks with the duo’s 17.1 million followers. Jacquelyn also regularly posted paid partnerships with brands such as SHEIN and Kohl’s, and, in lieu of working a regular job, provided for Wren through earnings from online content creation. …
Emotionally Harmed? It Might Not Matter: An Analysis Of Cummings V. Premier Rehab Keller And Its Implications For Title Ii Of The Americans With Disabilities Act Of 1990, Sotir Zhupa
Cardozo Law Review
On April 28, 2022, the U.S. Supreme Court handed down an opinion that shocked the disability rights community. In Cummings v. Premier Rehab Keller, P.L.L.C., the Court ruled that compensatory damages for emotional distress may not be recovered by claimants who sue for disability discrimination under section 504 of the Rehabilitation Act of 1973 (section 504) and section 1557 of the Patient Protection and Affordable Care Act of 2010..
Cummings involved a woman, Jane Cummings, who is both deaf and legally blind. Because of her disabilities, she communicates through American Sign Language (ASL)—her first and primary language—and cannot communicate …
Fy24 Usability Program Test #6: Assessing Awareness And Perceptions Of Course Reserves, Lindsey Skaggs
Fy24 Usability Program Test #6: Assessing Awareness And Perceptions Of Course Reserves, Lindsey Skaggs
Faculty and Staff Publications – Milner Library
The FY24 Usability Testing Program was designed to iteratively assess user experience at Milner Library. The program gathers data through usability testing of the library's website and discovery layer, as well as survey questions about users' experiences with library services. Test #6 gathers information from library users about their experiences locating and using course reserves. Takeaways and recommendations are included in the report.
Fy24 Usability Program Test #5: User Search Behaviors And Attitudes, Lindsey Skaggs
Fy24 Usability Program Test #5: User Search Behaviors And Attitudes, Lindsey Skaggs
Faculty and Staff Publications – Milner Library
The FY24 Usability Testing Program was designed to iteratively assess user experience at Milner Library. The program gathers data through usability testing of the library's website and discovery layer, as well as survey questions about users' experiences with library services. Test #5 gathers information from library users about their experiences locating and accessing materials. Takeaways and recommendations are included in the report.
State: The Magazine Of Illinois State University, Spring 2024, Illinois State University, University Marketing And Communications
State: The Magazine Of Illinois State University, Spring 2024, Illinois State University, University Marketing And Communications
State: The Magazine of Illinois State University (1999-present)
Illinois State University alumni magazine
On-Device Intelligence For Ai-Enabled Bio-Inspired Autonomous Underwater Vehicles (Auvs), Aryan Anand, M Yuva Bharath, Prabha Sundaravadivel, J. Preetha Roselyn, R. Annie Uthra
On-Device Intelligence For Ai-Enabled Bio-Inspired Autonomous Underwater Vehicles (Auvs), Aryan Anand, M Yuva Bharath, Prabha Sundaravadivel, J. Preetha Roselyn, R. Annie Uthra
Electrical Engineering Faculty Publications and Presentations
This paper introduces an innovative approach to underwater exploration by integrating Artificial Intelligence (AI) into Autonomous Underwater Vehicles (AUVs). This collaboration between AI and biomimicry marks a new era for AUVs, enabling them to emulate marine creatures’ graceful and efficient movements. By infusing AI capabilities into AUVs, AUVs are empowered to learn and adapt, making autonomous real-time decisions without human intervention. This dynamic integration equips AUVs to effectively navigate complex underwater terrains, evade obstacles, and seamlessly interact with marine life. Inspired by the remarkable propulsion mechanisms found in marine organisms, this work proposes a pioneering propulsion system tailored for AUVs. …
From King To Villain: Herod The Great's Transition From Historical Figure To Dramatic Antagonist, Joshua Reed
From King To Villain: Herod The Great's Transition From Historical Figure To Dramatic Antagonist, Joshua Reed
Research Honors
King Herod the Great’s reputation in 17th-century England was so vile that several theologians and writers took it upon themselves to write biographies of him, styling him as one of the worst men who ever lived. He had become a monolithic example of evil, tyranny, and unrighteous wrath divorced from the historical reality. Modern historical consensus on Herod is that he was a troubled ruler with paranoia and a temper, but little more. Meanwhile, followers of the Christian faith know him for orchestrating the Massacre of the Innocents—an event wherein an untold number of baby boys in Bethlehem were murdered …
Balancing Act: Insights Into Telangana Farmers’ Perspectives On Intensive Vs. Sustainable Agriculture, Srinivas Katherasala, Ram Shepherd Bheenaveni
Balancing Act: Insights Into Telangana Farmers’ Perspectives On Intensive Vs. Sustainable Agriculture, Srinivas Katherasala, Ram Shepherd Bheenaveni
School of Social Work Faculty Publications
High-input agriculture presents several drawbacks that can adversely affect both environmental sustainability and human health. A primary concern is soil degradation, which results from the excessive use of chemical fertilizers and pesticides. These substances can deplete soil nutrients, impair crop growth, and ultimately render the land barren and unproductive. This study, therefore, aims to explore the perceptions and practices of farmers in the Kumuram Bheem Asifabad district of Telangana State, India. The research involved a sample of 382 farmers across six mandals within this district. A stratified random sampling method was utilized within a survey-descriptive research framework. Data collection incorporated …
Preventing And Responding To Workplace Violence In The Emergency Department, Janina La Porte, Stefanie Lai, Alicia Rodriguez
Preventing And Responding To Workplace Violence In The Emergency Department, Janina La Porte, Stefanie Lai, Alicia Rodriguez
Articles, Abstracts, and Reports
No abstract provided.
Implementation And Evaluation Of Ai-Based Citizen Question-Answer Recommender (Acqar) To Enhance Citizen Service Delivery In Singapore Public Sector: A Case Study, Hui Shan Lee
Dissertations and Theses Collection (Open Access)
Government agencies prioritize citizen service delivery to foster trust with the public. Technological advancements, particularly in Artificial Intelligence (AI), hold promise for improving service provision and aligning government operations with citizens' needs. Yet the inherent inflexibility of Service Level Agreements (SLAs) often overlooks the nuances of human emotions and the varied nature of citizen inquiries, exacerbated by a lack of tools to guide appropriate responses. This dissertation aims to address the gaps of overlook of human emotions and non-support for appropriate responses, by exploring the following questions: (1) Can a predictive model incorporating both numeric and textual data effectively forecast …