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Articles 108661 - 108690 of 1114105
Full-Text Articles in Entire DC Network
Integrated Energy-Efficient Distributed Link Stability Algorithm For Uav Networks, Altaf Hussain, Shuaiyong Li, Tariq Hussain, Razaz Waheeb Attar, Farman Ali, Ahmed Alhomoud, Babar Shah
Integrated Energy-Efficient Distributed Link Stability Algorithm For Uav Networks, Altaf Hussain, Shuaiyong Li, Tariq Hussain, Razaz Waheeb Attar, Farman Ali, Ahmed Alhomoud, Babar Shah
All Works
Ad hoc networks offer promising applications due to their ease of use, installation, and deployment, as they do not require a centralized control entity. In these networks, nodes function as senders, receivers, and routers. One such network is the Flying Ad hoc Network (FANET), where nodes operate in three dimensions (3D) using Unmanned Aerial Vehicles (UAVs) that are remotely controlled. With the integration of the Internet of Things (IoT), these nodes form an IoT-enabled network called the Internet of UAVs (IoU). However, the airborne nodes in FANET consume high energy due to their payloads and low-power batteries. An optimal routing …
Enhancing Medication Adherence With Chronic Diseases Through Iot Technology: A Novel Approach, Nadia Dahmani, Suja A. Alex
Enhancing Medication Adherence With Chronic Diseases Through Iot Technology: A Novel Approach, Nadia Dahmani, Suja A. Alex
All Works
This paper proposes a novel IoT-based Medication Adherence System to combat the pervasive issue of non-adherence among chronic disease patients. This system leverages real-time monitoring and timely reminders to improve medication intake and, consequently, patient outcomes. We delve into the factors behind non-adherence and explore how IoT technology can empower patient education and alleviate medication anxieties. The study emphasizes the significance of proactive interventions in fostering adherence and ultimately improving health for those with chronic conditions. Advocating for a holistic approach that merges patient education, behavioral modifications, and technological advancements, this research proposes a transformative model for chronic disease management. …
Values Integration And The Professional Counselor, Rebecca Randall
Values Integration And The Professional Counselor, Rebecca Randall
Theses, Dissertations and Culminating Projects
This qualitative study, informed by narrative inquiry, examined how counselors described the interplay of values in professional practice. Participant narratives highlighted the challenges they experience in the process of values integration, defined as counselors’ awareness and management of personal values in counseling processes. Participants often made value judgments that occurred rapidly and beneath awareness and only became aware as a result of discordance in the counseling relationship. They further struggled in skillfully working through values conflicts. These findings reveal that values integration is a developmental process that challenges counselors beyond the training years and thus requires an infrastructure that supports …
Dynamic Genomic Evolution Via Active Ltr Transposable Elements In Maize, Taylor Isles
Dynamic Genomic Evolution Via Active Ltr Transposable Elements In Maize, Taylor Isles
Theses, Dissertations and Culminating Projects
Long terminal repeats (LTR) retrotransposons, found across eukaryotes, are transposable elements which can copy and insert themselves into other loci within a genome. These transposable elements are similar to retroviruses in that they rely on reverse transcriptase to “copy and paste” themselves elsewhere in the genome. From the RNA transcript they are able to use reverse transcriptase to make another DNA copy of themselves. This initially gave them the moniker, selfish genes. However, in the decades after the discovery of reverse transcriptase and LTR retrotransposons, it became known that non-genic DNA could have other functions. LTR retrotransposons are sources of …
Using Modern Motivational Theories As A Design Framework For Vr Gamification, Christopher Thomas Boardman
Using Modern Motivational Theories As A Design Framework For Vr Gamification, Christopher Thomas Boardman
Theses, Dissertations and Culminating Projects
Virtual reality has shown promise as a tool for organizational training. Implementing gamification, the use of game elements, has been shown to further improve learning outcomes. However, gamification has shown inconsistent results when applied to VR. To investigate this, we used motivational theory as a framework to select, justify, and implement game elements based on each theory to create different versions of a virtual grocery store training. Our results did not indicate any differences on performance, persistence, or error rate between each training condition, and exploratory analyses investigated the link between perceived competence and VR program quality. We discuss potential …
Feature Matching Methods Comparison With Limited Computing Power, Xu Du
Feature Matching Methods Comparison With Limited Computing Power, Xu Du
Theses, Dissertations and Culminating Projects
This work presents a comparative analysis of feature-matching techniques implemented on low-end hardware, focusing on their efficiency and performance under various image transformations. The study evaluates several well-established feature matching algorithms, including ORB, AKAZE, BRISK, FAST combined with ORB, and SIFT, for their robustness against rotation, perspective, and scale changes in images. The base image used for experimentation features is the Montclair State University's Red Hawk mascot—a complex, textured subject that presents a substantial challenge for feature matching algorithms. The experiment simulates real-world conditions by applying a series of transformations to the base image and utilizes the default settings of …
Infusing Commonsense Via Knowledge Bases In Multipurpose Robotic Task Organization, Rafael Omar Hidalgo
Infusing Commonsense Via Knowledge Bases In Multipurpose Robotic Task Organization, Rafael Omar Hidalgo
Theses, Dissertations and Culminating Projects
This research explores the innovative integration of commonsense knowledge (CSK) within AI systems, with a particular focus on domestic robotics. At the heart of this study is the Robo- CSK-Organizer, a groundbreaking system that utilizes a classical knowledge base, namely ConceptNet, to enhance robotic decision-making through sophisticated object organization and classification. This system is contrasted with a ChatGPT-based organizer, examining their performance in terms of ambiguity resolution, consistency in object placement, adaptability to task classifications, and crucially, in explainability, a key aspect of XAI (Explainable AI). Through a combination of controlled experiments, quantitative and qualitative analysis, the study demonstrates that …
Sharing Pathogen Sequence Data For Global Scientific Research Under The Nagoya Protocol To The Convention On Biological Diversity, Jerome H. Reichman, Carolina Dos S. Ribeiro, George B. Haringhuizen, Paul F. Uhlir
Sharing Pathogen Sequence Data For Global Scientific Research Under The Nagoya Protocol To The Convention On Biological Diversity, Jerome H. Reichman, Carolina Dos S. Ribeiro, George B. Haringhuizen, Paul F. Uhlir
Faculty Scholarship
The Nagoya Protocol to the Convention on Biological Diversity (CBD) has threatened to impede access to genetic resources and related data for cross-border scientific research. In principle, every use of genetic resources would require a set of contracts under the CBD, in a “bilateral” regime. The related transaction costs could overwhelm many transnational research undertakings, affecting even public health responses to outbreaks and epidemics. However, the Nagoya Protocol also offers a unique opportunity to resolve this dilemma, despite struggles to define the meaning and coverage of “digital sequence information.” The coverage of genetic sequence data under the CBD remains controversial …
Ucc § 2-510: A Commercial Law Blunder?, Steven L. Schwarcz
Ucc § 2-510: A Commercial Law Blunder?, Steven L. Schwarcz
Faculty Scholarship
Commercial law, as codified by the Uniform Commercial Code ("UCC"), recognizes certain important policy goals and commercial realities as a basis to override property law. Among other provisions, § 2-509 of the UCC allocates the risk of loss to goods in transit to the party who controls and would be expected to insure the goods, whether or not that party owns the goods at the time of their loss. Promoting commercial reality over the "arbitrary shifting" of rights based on property has been widely praised. Shortly after that risk-of-loss provision was enacted, however, it was modified by an additional UCC …
Deepfakes In Court: How Judges Can Proactively Manage Alleged Ai-Generated Material In National Security Cases, Abhishek Dalal, Chongyang Gao, Paul W. Grimm, Maura R. Grossman, Daniel W. Linna Jr., Chiara Pulice, V. S. Subrahmanian, John Tunheim
Deepfakes In Court: How Judges Can Proactively Manage Alleged Ai-Generated Material In National Security Cases, Abhishek Dalal, Chongyang Gao, Paul W. Grimm, Maura R. Grossman, Daniel W. Linna Jr., Chiara Pulice, V. S. Subrahmanian, John Tunheim
Faculty Scholarship
Dall-E. ChatGPT GPT-4. Words that did not exist in the English lexicon just a few years ago are now commonplace. With the widespread availability of Artificial Intelligence (AI) tools, specifically Generative AI, whether in the context of text, audio, video, imagery, or even combinations of these, it is inevitable that trials related to national security will involve evidentiary issues raised by Generative AI. We must confront two possibilities: first, that evidence presented is AI-generated and not real and, second, that other evidence is genuine but alleged to be fabricated. Technologies designed to detect AI-generated content have proven to be unreliable, …
Improving Risk Governance Strategies Via Learning: A Comparative Analysis Of Solar Radiation Modification And Gene Drives, Khara Grieger, Jonathan B. Wiener, Jennifer Kuzma
Improving Risk Governance Strategies Via Learning: A Comparative Analysis Of Solar Radiation Modification And Gene Drives, Khara Grieger, Jonathan B. Wiener, Jennifer Kuzma
Faculty Scholarship
Stratospheric aerosol injection (SAI) and gene drive organisms (GDOs) have been proposed as technological responses to complex entrenched environmental challenges. They also share several characteristics of emerging risks, including extensive uncertainties, systemic interdependencies, and risk profiles intertwined with societal contexts. This Perspective conducts a comparative analysis of the two technologies, and identifies ways in which their research and policy communities may learn from each other to inform future risk governance strategies. We find that SAI and GDOs share common features of aiming to improve or restore a public good, are characterized by numerous potential ecological, societal, and ethical risks associated …
Human Psychology And Robot Evidence In The Courtroom, Alternative Dispute Resolution, And Agency Proceedings, Sara Sun Beale, Hayley Lawrence
Human Psychology And Robot Evidence In The Courtroom, Alternative Dispute Resolution, And Agency Proceedings, Sara Sun Beale, Hayley Lawrence
Faculty Scholarship
In human–robot interactions in legal proceedings, human responses to robot-generated evidence will present unique challenges to the accuracy of litigation as well as ancillary goals such as fairness and transparency, though it may also enhance accuracy in other respects. The most important feature of human–robot interactions is the human tendency to anthropomorphize robots, which can generate misleading impressions and be manipulated by designing robots to make them appear more trustworthy and believable. Although robot-generated evidence may also offer unique advantages, there are concerns about the degree to which the traditional methods of testing the accuracy of evidence, particularly cross-examination, will …
Antisocial Innovation, Christopher Buccafusco, Samuel N. Weinstein
Antisocial Innovation, Christopher Buccafusco, Samuel N. Weinstein
Faculty Scholarship
Innovation is a form of civic religion in the United States. In the popular imagination, innovators are heroic figures. Thomas Edison, Steve Jobs, and (for a while) Elizabeth Holmes were lauded for their vision and drive and seen to embody the American spirit of invention and improvement. For their part, politicians rarely miss a chance to trumpet their vision for boosting innovative activity. Popular and political culture alike treat innovation as an unalloyed good. And the law is deeply committed to fostering innovation, spending billions of dollars a year to make sure society has enough of it. But this sunny …
False Accuracy In Criminal Trials: The Limits And Costs Of Cross Examination, Lisa Kern Griffin
False Accuracy In Criminal Trials: The Limits And Costs Of Cross Examination, Lisa Kern Griffin
Faculty Scholarship
According to the popular culture of criminal trials, skillful cross-examination can reveal the whole “truth” of what happened. In a climactic scene, defense counsel will expose a lying accuser, clear up the statements of a confused eyewitness, or surface the incentives and biases in testimony. Constitutional precedents, evidence theory, and trial procedures all reflect a similar aspiration—that cross-examination performs lie detection and thereby helps to produce accurate outcomes. Although conceptualized as a protection for defendants, cross-examination imposes some unexplored costs on them. Because it focuses on the physical presence of a witness, the current law of confrontation suggests that an …
The Right To A Glass Box: Rethinking The Use Of Artificial Intelligence In Criminal Justice, Brandon L. Garrett, Cynthia Rudin
The Right To A Glass Box: Rethinking The Use Of Artificial Intelligence In Criminal Justice, Brandon L. Garrett, Cynthia Rudin
Faculty Scholarship
Artificial intelligence (“AI”) increasingly is used to make important decisions that affect individuals and society. As governments and corporations use AI more pervasively, one of the most troubling trends is that developers so often design it to be a “black box.” Designers create AI models too complex for people to understand or they conceal how AI functions. Policymakers and the public increasingly sound alarms about black box AI. A particularly pressing area of concern has been criminal cases, in which a person’s life, liberty, and public safety can be at stake. In the United States and globally, despite concerns that …
Specialist Directors, Yaron Nili, Roy Shapira
Specialist Directors, Yaron Nili, Roy Shapira
Faculty Scholarship
What determines the effectiveness of corporate boards? Corporate legal scholars usually approach this question by focusing on directors’ incentives, such as counting how many directors are independent or whether the roles of the CEO and Chair are separated. Yet on the ground, the focus has been shifting to directors’ skill sets and experience. Investors, regulators, and courts are now pressuring companies to appoint directors with specific types of expertise. In response, more and more companies are adding what we term “specialist directors”: a DEI director, a climate director, a cyber director, and so on. These changes in board composition could …
The Rise Of Private Equity Continuation Funds, Kobi Kastiel, Yaron Nili
The Rise Of Private Equity Continuation Funds, Kobi Kastiel, Yaron Nili
Faculty Scholarship
This Article provides the first comprehensive examination of an emerging practice within the private equity sector: continuation funds. Continuation funds break from the traditional private equity model by allowing sponsors to hold on to assets beyond the typical fund term and, instead of selling the assets to third parties, sell them to their own newly established fund. Lauded by the private equity industry as providing “optionality” to investors by allowing them to cash out or roll over, continuation funds have grown to represent a major segment of investment activity in the United States. Despite their surging popularity among private equity …
From Pollution To Resource: Advancing Swine Waste Treatment In The Usa, Viney P. Aneja, Ryke Longest, Matias B. Vanotti, Ariel A. Szogi, Gudigopuram B. Reddy
From Pollution To Resource: Advancing Swine Waste Treatment In The Usa, Viney P. Aneja, Ryke Longest, Matias B. Vanotti, Ariel A. Szogi, Gudigopuram B. Reddy
Faculty Scholarship
Concentrated animal feeding operations (CAFOs) have led to environmental challenges, specifically waste management. Swine CAFOs generate large amounts of waste, requiring proper treatment to avoid air and water pollution. Conventional waste management technologies, such as lagoon and spray field systems, do not prevent air and water pollution impacts. Research for the past few decades led to recommendations for waste treatment technologies superior to lagoons and spray fields. Private environmental sustainability initiatives focused on reducing greenhouse gas emissions in the food supply chain have implemented biogas digester projects for capturing methane in covered swine lagoons to reduce greenhouse gas emissions. However, …
Mickey, Disney, And The Public Domain: A Ninety-Five-Year Love Triangle, Jennifer Jenkins
Mickey, Disney, And The Public Domain: A Ninety-Five-Year Love Triangle, Jennifer Jenkins
Faculty Scholarship
No abstract provided.
U.S. Public Perceptions Of The Sensitivity Of Brain Data, Shenyang Huang, Umika Paul, Shikhar Gupta, Karan Desai, Melinda Guo, Jennifer Jung, Beatrice Capestany, William D. Krenzer, Dylan Stonecipher, Nita A. Farahany
U.S. Public Perceptions Of The Sensitivity Of Brain Data, Shenyang Huang, Umika Paul, Shikhar Gupta, Karan Desai, Melinda Guo, Jennifer Jung, Beatrice Capestany, William D. Krenzer, Dylan Stonecipher, Nita A. Farahany
Faculty Scholarship
As we approach an era of potentially widespread consumer neurotechnology, scholars and organizations worldwide have started to raise concerns about the data privacy issues these devices will present. Notably absent in these discussions is empirical evidence about how the public perceives that same information. This article presents the results of a nationwide survey on public perceptions of brain data, to inform discussions of law and policy regarding brain data governance. The survey reveals that the public may perceive certain brain data as less sensitive than other ‘private’ information, like social security numbers, but more sensitive than some ‘public’ information, like …
Transdisciplinary Doctoral Training To Address Global Sustainability Challenges, Zoie Taylor Diana, John Virdin, Michelle B. Nowlin, Nishad Jayasundara, Daniel Rittschof
Transdisciplinary Doctoral Training To Address Global Sustainability Challenges, Zoie Taylor Diana, John Virdin, Michelle B. Nowlin, Nishad Jayasundara, Daniel Rittschof
Faculty Scholarship
No abstract provided.
Open Access And U. S. Federal Information Policy, Eric Harbeson
Open Access And U. S. Federal Information Policy, Eric Harbeson
Copyright, Fair Use, Scholarly Communication, etc.
Federal agencies are directed, as a matter of United States Federal policy, to provide free, immediate public access to peer-reviewed scholarly publications that are produced with support from Federal research grant funding. Because copyright vests in the author of the work, agencies must have permission from the author in order to provide that access. A government-wide regulation, in place since 1976, constitutes one possible source for the needed permission. The “Federal Purpose License” provides that, as a condition of Federal funding, grant recipients issue the granting agency a non-exclusive license to use all works subject to copyright and either developed …
Dispatches From Amendment Valley, Alison L. Lacroix
Dispatches From Amendment Valley, Alison L. Lacroix
Public Law and Legal Theory Working Papers
No abstract provided.
Competition & Risk, Doni Bloomfield
Documents From The January 31. 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students
Documents From The January 31. 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students
Senate Meeting Agendas and Minutes, 2007-Present
Agenda and meeting minutes from the January 31, 2024 meeting of the Associated Students of the University of Montana (ASUM).
Documents From The October 9, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), Associated Students Of University Of Montana
Documents From The October 9, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), Associated Students Of University Of Montana
Senate Meeting Agendas and Minutes, 2007-Present
Agenda and meeting minutes from the October 9, 2024 meeting of the Associated Students of the University of Montana (ASUM).
Examining Ghana's National Health Insurance Act, 2003 (Act 650) To Improve Accessibility Of Artificial Intelligence Therapies And Address Compensation Issues In Cases Of Medical Negligence, George Benneh Mensah, Maad M. Mijwil, Mostafa Abotaleb
Examining Ghana's National Health Insurance Act, 2003 (Act 650) To Improve Accessibility Of Artificial Intelligence Therapies And Address Compensation Issues In Cases Of Medical Negligence, George Benneh Mensah, Maad M. Mijwil, Mostafa Abotaleb
Mesopotamian Journal of Computer Science
Objective: Examine Ghana’s National Health Insurance Act (Act 650) to identify coverage gaps limiting artificial intelligence (AI) therapy access and address medical negligence liability issues surrounding automated healthcare systems. Methods: Legal and regulatory analysis of Act 650 were conducted, review of academic literature on global uptake of AI interventions and medical negligence principles were elucidated, examination of case studies implementing pilot AI therapy programs under insurance schemes were considered. Results & Conclusions: Act 650 lacks clear provisions for funding innovative AI treatments with proven efficacy and undefined negligence determination guidelines involving AI systems, contributing to accessibility and accountability issues. Proposed …
New Recruitment Approach Based On Logistic Regression Model, Ishraq Hatif Abd Almajed, Ghalia Nassreddine, Joumana Younis
New Recruitment Approach Based On Logistic Regression Model, Ishraq Hatif Abd Almajed, Ghalia Nassreddine, Joumana Younis
Mesopotamian Journal of Computer Science
Artificial intelligence (AI) is a pivotal technological advancement developed by humans with the aim of enhancing the quality of human existence. It signifies the capacity of a computerized machine resembling a robot to execute tasks typically performed by humans and replicate human behavior. Machine learning (ML), a subfield of AI, involves the construction of systems that acquire the ability to make predictions about new output values by leveraging existing data, without the need for human interaction. Currently, ML has been incorporated into various fields, including but not limited to medical diagnosis, image processing, prediction, classification, learning association, commerce, finance, and …
Advanced Image Processing Techniques For Automated Detection Of Healthy And Infected Leaves In Agricultural Systems, E.D. Kanmani Ruby, G. Amirthayogam, G. Sasi, T. Chitra, Abhishek Choubey, S. Gopalakrishnan
Advanced Image Processing Techniques For Automated Detection Of Healthy And Infected Leaves In Agricultural Systems, E.D. Kanmani Ruby, G. Amirthayogam, G. Sasi, T. Chitra, Abhishek Choubey, S. Gopalakrishnan
Mesopotamian Journal of Computer Science
Advances in computer vision and machine learning have transformed leaf disease detection by enabling efficient and accurate identification of subtle disease signs in leaves. Leveraging high-resolution imaging, pattern recognition algorithms, and deep learning models, researchers and farmers can now conduct automated detection across various plant species. The development focuses on sophisticated image processing techniques applied to diverse datasets captured under controlled conditions, ensuring comprehensive coverage of lighting, time, and weather variations. Expert annotation of infection stages and types enhances dataset reliability, while pre-processing stages such as resizing and normalization optimize image consistency for robust model training. Data augmentation techniques enrich …
A Survey On Artificial Intelligence In Cybersecurity For Smart Agriculture: State-Of-The-Art, Cyber Threats, Artificial Intelligence Applications, And Ethical Concerns, Guma Ali, Maad M. Mijwil, Bosco Apparatus Buruga, Mostafa Abotaleb, Ioannis Adamopoulos
A Survey On Artificial Intelligence In Cybersecurity For Smart Agriculture: State-Of-The-Art, Cyber Threats, Artificial Intelligence Applications, And Ethical Concerns, Guma Ali, Maad M. Mijwil, Bosco Apparatus Buruga, Mostafa Abotaleb, Ioannis Adamopoulos
Mesopotamian Journal of Computer Science
Wireless sensor networks and Internet of Things devices are revolutionizing the smart agriculture industry by increasing production, sustainability, and profitability as connectivity becomes increasingly ubiquitous. However, the industry has become a popular target for cyberattacks. This survey investigates the role of artificial intelligence (AI) in improving cybersecurity in smart agriculture (SA). The relevant literature for the study was gathered from Nature, Wiley Online Library, MDPI, ScienceDirect, Frontiers, IEEE Xplore Digital Library, IGI Global, Springer, Taylor & Francis, and Google Scholar. Of the 320 publications that fit the search criteria, 180 research papers were ultimately chosen for this investigation. The review …