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Articles 391 - 420 of 2860
Full-Text Articles in Entire DC Network
Promising Practices For Increasing The Number Of Equity-Owed Lifeguards In Canada And The United States Of America, Sofia Pantano, Audrey R. Giles
Promising Practices For Increasing The Number Of Equity-Owed Lifeguards In Canada And The United States Of America, Sofia Pantano, Audrey R. Giles
International Journal of Aquatic Research and Education
Currently a shortage of lifeguards exists in Canada and the United States (US) (Frommer, 2023; Santucci, 2024), and those who are working as lifeguards often do not reflect the diversity of the communities they serve (Martinez, 2020). Increasing the number of lifeguards from equity-owed groups is a potential way of increasing the lifeguard workforce and decreasing the shortage of workers in these important roles, as well as a moral imperative. In this paper I explore challenges to and promising practices aimed at increasing the representation of members equity-owed groups in lifeguarding. I begin with an overview of lifeguarding in Canada …
Federated Learning For 6g Networks: A Comprehensive Review Of Challenges, Techniques, And Future Directions, Zinah Tareq Nayyef, Iman Subhi Mahmood
Federated Learning For 6g Networks: A Comprehensive Review Of Challenges, Techniques, And Future Directions, Zinah Tareq Nayyef, Iman Subhi Mahmood
Warith Scientific Journal of Engineering and Technology
The convergence of Federated Learning (FL) and sixth-generation (6G) communication systems promise to revolutionize distributed intelligence by addressing emerging demands for data privacy, real-time processing, and massive connectivity. However, integrating FL within 6G introduces complex challenges ranging from heterogeneous data and devices to communication bottlenecks, energy constraints, and stringent security demands. This review provides a comprehensive examination of FL techniques and their applicability in terms of 6G communication models. The review also emphasizes how these technologies are used in real-world fields like healthcare, autonomous systems, and digital twins—areas where privacy, reliability, and latency are mission-critical. Unlike earlier surveys that treat …
Forecasting Monthly Rainfall In The Pirmam Area, Kurdistan Region, Iraq: A Machine Learning Approach., Sakar Muhamad, Rawshan Ali
Forecasting Monthly Rainfall In The Pirmam Area, Kurdistan Region, Iraq: A Machine Learning Approach., Sakar Muhamad, Rawshan Ali
Polytechnic Journal
Agriculture, emergency preparedness, and water resource management all depend on accurate rainfall forecasts. This study investigates how well machine learning models predict monthly rainfall in the Kurdistan Region of Iraq, specifically in the Pirmam area. Historical weather data was analyzed using a variety of models, such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Multiple Linear Regression (MLR), Least Absolute Shrinkage and Selection Operator (LASSO), Elastic Net (ELNET), and Ridge Regression. Statistical measures including Nash-Sutcliffe Efficiency (NSE), Mean Bias Error (MBE), Normalized Root Mean Squared Error (nRMSE), Coefficient of Determination (R2), and Root Mean Squared Error (RMSE) were …
An Innovative Approach Addressing Childhood Drowning: Making Use Of Collegiate Aquatic Facilities And Expertise, Gennette Cordova, Natasha Lloyd, Chezik Tsunoda
An Innovative Approach Addressing Childhood Drowning: Making Use Of Collegiate Aquatic Facilities And Expertise, Gennette Cordova, Natasha Lloyd, Chezik Tsunoda
International Journal of Aquatic Research and Education
The silent epidemic of childhood drowning, and the racial disparities associated with it require scalable and innovative approaches that both break cycles of exclusion and circumvent our societal tendency to overlook drowning as a matter in need of urgent resolution. No More Under, a Seattle-based water safety organization whose mission is to eradicate childhood drowning, has launched the Swim Safely Series. The series is a national program uniquely poised to overcome the various barriers associated with racial and socioeconomic drowning disparities by tapping into underutilized collegiate aquatic spaces and merging water safety with mentorship and social intervention.
Arbitrary Detention Powers And Section 1 Of The Charter: Two Critical Blind Spots In Luamba, François Tanguay-Renaud
Arbitrary Detention Powers And Section 1 Of The Charter: Two Critical Blind Spots In Luamba, François Tanguay-Renaud
All Papers
In the 2022 case of Luamba c Procureur général du Québec, the Superior Court of Quebec held that a police power to conduct roving random stop of motorists for the purpose of checking for traffic offences infringed ss 9 and 15 of the Canadian Charter in ways that were not saved under s 1. This decision was upheld by the Court of Appeal (“QCCA”) and the Supreme Court (“SCC”) has now granted leave to appeal to the AG Quebec.
In this comment, I seek expose two blind spots in the s 1 analysis carried out by lower courts: (1) …
The Bg News October 15, 2025, Bowling Green State University
The Bg News October 15, 2025, Bowling Green State University
BG News (Student Newspaper)
The BGSU campus student newspaper. October 15, 2025. Volume 105-Issue 07.
Lindenwood Digest, October 15, 2025, Lindenwood University
Lindenwood Digest, October 15, 2025, Lindenwood University
Lindenwood Digest
The Lindenwood Digest has been a digital employee newsletter since 2009.
Libel Via Language Models, Peter Wills
Libel Via Language Models, Peter Wills
Osgoode Hall Law Journal
This article explains how developers and users of large language models (LMs) may be treated by English and Canadian libel law. LMs could be economically significant, and the liability environment they exist in will affect where they are developed, who accumulates wealth from their development, and who bears the burdens of any negative consequences of their development. Understanding the existing liability environment allows both developers and policy makers to make informed decisions—about which jurisdiction to offer services and what to prioritise, for the former, and about whether the existing law serves desired policy ends, for the latter. LMs also raise …
Cybersecurity In Donald Trump’S 2024 Presidential Election Campaign, Julia Celestino
Cybersecurity In Donald Trump’S 2024 Presidential Election Campaign, Julia Celestino
Locus: The Seton Hall Journal of Undergraduate Research
Cybersecurity is of growing importance in America today, yet discussion about cybersecurity in Trump’s 2024 election campaign was limited. This paper discusses how the role of cybersecurity in Donald Trump’s 2024 election campaign was limited by cybersecurity issues from his first term which continue to damage public support for his campaign, the unpopularity of cybersecurity among voters, and an effort to encourage collaboration with technology companies. Focus is on a timeframe from November 15, 2022 to April 30, 2025 (the date Donald Trump announced his candidacy to his 100th day in office). Ultimately, cybersecurity issues see more policy outcomes when …
J Am Coll Dent 2024 91 1
Journal of the American College of Dentists
The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.
Silent Signals: Human Trafficking And The Dental Professional’S Duty To Act, Pamela Zarkowski
Silent Signals: Human Trafficking And The Dental Professional’S Duty To Act, Pamela Zarkowski
Journal of the American College of Dentists
Human trafficking is a global public health and human rights crisis that includes forced labor and commercial sexual exploitation. Dental professionals are uniquely positioned to recognize signs of trafficking, as many victims encounter healthcare settings, including dental offices, during their exploitation. This article introduces the types and prevalence of trafficking, outlines legal and ethical responsibilities, and provides clinical red flags, case scenarios, and actionable strategies for screening and reporting. Myths that hinder detection are also addressed. By recognizing their ethical duty to protect vulnerable patients, dental professionals can become vital allies in the identification and support of trafficking survivors.
J Am Coll Dent 2019 86 2
Journal of the American College of Dentists
The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.
J Am Coll Dent 2017 84 1
Journal of the American College of Dentists
The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.
October 14, 2025, Pacific Global
Barriers To Machine Learning Adoption In Regulated Electric Utilities, Donald R. Shiflet Jr.
Barriers To Machine Learning Adoption In Regulated Electric Utilities, Donald R. Shiflet Jr.
USF Tampa Graduate Theses and Dissertations
Machine learning (ML) technologies have the potential to revolutionize regulated electric utilities by improving operational efficiency, enabling predictive maintenance, and optimizing energy management. Despite these advantages, the adoption of ML in this sector lags other industries due to technical, organizational, and regulatory barriers. This research, grounded in the Technology-Organization-Environment (TOE) framework, explores these barriers to uncover actionable solutions for integration. The study identifies key challenges, including explainability, cybersecurity, workforce resistance, and regulatory ambiguity to ML adoption in electric utilities. Utilizing an exploratory qualitative methodology, this approach integrates insights from the literature and industry interviews to rank barriers by frequency, severity, …
Transition To Net Zero And Low Carbon Technologies: Case Studies From The Second Largest Construction Industry – India, Sunanda Manjrekar
Transition To Net Zero And Low Carbon Technologies: Case Studies From The Second Largest Construction Industry – India, Sunanda Manjrekar
International Conference on Durability of Concrete Structures
No abstract provided.
A Comprehensive Approach Addressing The Most Chronic And Emerging Contaminants Along The Egyptian Mediterranean Coast, Tarek O. Said
A Comprehensive Approach Addressing The Most Chronic And Emerging Contaminants Along The Egyptian Mediterranean Coast, Tarek O. Said
Blue Economy
Newly identified substances known as emerging contaminants (ECs) are harmful to the environment and public health, frequently because limited regulation and incomplete understanding of their impacts. They comprise a broad variety of materials, such as insecticides, industrial wastes, personal care items, and medications. Persistent pollutants (POPs) are organic compounds that have remained in the environment for an extended period of time. They tend to move through the atmosphere over enormous distances making them a chronic contaminant and may harm ecology and humanity over time. In Egypt, particularly within its Mediterranean Exclusive Economic Zone (EEZ), heavy metal (HM) contamination is increasingly …
The Rider (2025-10-13), Daniela Martinez Salazar
Week Of October 13, 2025, Student Life
Week Of October 13, 2025, Student Life
College, School and Department Newsletters, Magazines, and Journals
Your weekly hub for events, resources and updates.
Bifusenet: A Multimodal Network For Estimating Blood Alcohol Concentration Via Bidirectional Hierarchical Fusion, Abdullah Tariq, Arooba Maqsood, Martin Masek, Syed Zulqarnain Gilani
Bifusenet: A Multimodal Network For Estimating Blood Alcohol Concentration Via Bidirectional Hierarchical Fusion, Abdullah Tariq, Arooba Maqsood, Martin Masek, Syed Zulqarnain Gilani
Research outputs 2022 to 2026
Drunk driving remains a significant public safety challenge, demanding innovative alternatives to conventional methods such as field sobriety tests and breathalysers. Estimating a driver's level of intoxication through facial cues is particularly challenging due to the subtle and person-specific nature of alcohol-induced behaviours. In this paper, we present BiFuseNet, a 3D spatio-temporal multi-modal network designed to classify alcohol impairment levels into three categories: sober, moderate, and severe. Unlike prior approaches that rely on either uni-modal RGB video or hand-crafted facial features, our method exploits complementary physiological cues from RGB and infrared (IR) facial videos. We introduce a Bi-directional Hierarchical Fusion …
The Role Of Cooperatives In Social Capital Formation: Empirical Evidence In Indonesia, Nia Kurnia Sholihah, Muhammad Halley Yudhistira, Sulistiadi Dono Iskandar
The Role Of Cooperatives In Social Capital Formation: Empirical Evidence In Indonesia, Nia Kurnia Sholihah, Muhammad Halley Yudhistira, Sulistiadi Dono Iskandar
Jurnal Kebijakan Ekonomi
Social capital is one of the indicators used to assess changes in societal conditions, particularly in evaluating the sustainability of welfare. Higher social capital tends to reduce conflict and facilitate economic transactions. Cooperatives, as organizations with dual objectives (economic and social), represent one potential mechanism for strengthening social capital within communities. This study adopts a quantitative approach and uses Indonesia Family Life Survey (IFLS) data to estimate the impact of cooperative participation on social capital formation, proxied by individuals’ trust across various dimensions and events.
Board Of Trustees Agenda, Oct. 10 2025, Indiana State University Board Of Trustees
Board Of Trustees Agenda, Oct. 10 2025, Indiana State University Board Of Trustees
Board of Trustees
No abstract provided.
2016 - Appalachian Student Research Forum Program Booklet, Appalachian Student Research Forum, East Tennessee State University
2016 - Appalachian Student Research Forum Program Booklet, Appalachian Student Research Forum, East Tennessee State University
Appalachian Student Research Forum
No abstract provided.
The Indiana Statesman, October 9, 2025, Indiana State University
The Indiana Statesman, October 9, 2025, Indiana State University
Student Newspaper
Homecoming
A Quantitative Analysis Of Postmarketing Safety Events Of Breakthrough Medicines, Richard Judson Davis
A Quantitative Analysis Of Postmarketing Safety Events Of Breakthrough Medicines, Richard Judson Davis
Walden Dissertations and Doctoral Studies
Adverse events to medicines pose a risk to the public health of patients. Breakthrough therapy medicines are designed to address unmet medical needs and are often approved on an expedited timeline; however they are also criticized for lacking an adequate understanding of their risk profile at the time of approval. This study examined the relationship between the number of concomitant medicines, as well as the approved therapeutic indication, and the outcomes of reported adverse events associated with medicines approved under the breakthrough therapy designation. The conceptual framework applied in this retrospective, cross-sectional, quantitative study is the process of pharmacovigilance, which …
Spectator 2025-10-09, Editors Of The Spectator
Rogue Prosecutor Panic, Michael L. Smith
Rogue Prosecutor Panic, Michael L. Smith
The Scholar: St. Mary's Law Review on Race and Social Justice
Discussions of criminal law, enforcement, and reform are frequently messy and misleading. Anecdotes distract from systematic abuse, and perceptions of crime frequently win out over existing trends. This essay identifies Zack Smith and Charles Stimson’s book, Rogue Prosecutors: How Radical Soros Lawyers are Destroying America’s Communities, as an example of this shoddy discourse. Smith and Stimson’s claim that “Radical Soros Lawyers” are being mobilized to destructive ends crumbles under minimal scrutiny, and I identify several core defects throughout their narrative, including a failure to demonstrate a truly unified scheme of ideology and funding amongst the prosecutors they identify, baseless assumptions …
Resilience Oriented Distribution System Service Restoration Considering Overhead Power Lines Affected By Hurricanes, Kehkashan Fatima, Hussain Shareef, Flavio Costa
Resilience Oriented Distribution System Service Restoration Considering Overhead Power Lines Affected By Hurricanes, Kehkashan Fatima, Hussain Shareef, Flavio Costa
Michigan Tech Publications
In recent years, there has been an increase in the frequency of severe weather events (like hurricanes). These events are responsible for most power outages in power distribution systems (PDSs). Particularly susceptible to storms are overhead PDSs. In this study, the dynamic Bayesian network (DBN)-based failure model was developed for different hurricane scenarios to predict the line failure of overhead lines. Based on the outcomes of the DBN model, a service restoration model was formulated to maximize restored loads and minimize power losses using Particle Swarm Optimization (PSO)-based distributed generation (DG) integration and system reconfiguration. Three different case studies based …
October 9, 2025, The Daily Mississippian
October 9, 2025, The Daily Mississippian
Daily Mississippian (all digitized issues)
No abstract provided.
2025-10-09 Pigott Auditorium Packed For Mayoral Debate, Milan Damjanac
2025-10-09 Pigott Auditorium Packed For Mayoral Debate, Milan Damjanac
The Spectator Online
No abstract provided.