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Articles 81901 - 81930 of 5211109
Full-Text Articles in Entire DC Network
League Of Women Voters' Of The Huntington Areae-Mail Bulletin, March 2026, League Of Women Voters Of The Huntington Area
League Of Women Voters' Of The Huntington Areae-Mail Bulletin, March 2026, League Of Women Voters Of The Huntington Area
League of Women Voters of the Huntington Area Bulletin 2020 - Present
The periodical is published by the League, which is a nonpartisan political organization that encourages the informed and active participation of citizens in government and influences public policy through education and advocacy.
Examining How Continuous Professional Development Shapes Teaching Practice And Student Learning Outcomes, Jane Rarieya, Mary Oluga, Nyagwegwe Wango
Examining How Continuous Professional Development Shapes Teaching Practice And Student Learning Outcomes, Jane Rarieya, Mary Oluga, Nyagwegwe Wango
Institute for Educational Development, East Africa
Purpose: This study examines how Teacher Continuous Professional Development (TCPD) initiatives implemented through the Strengthening Education Systems in East Africa (SESEA) and Foundation for Learning (F4L) projects influence teaching practices and foundational learning outcomes in Tanzania, Kenya, and Uganda.
Methodology: The study employed a mixed-methods research design using longitudinal data from classroom observations, teacher questionnaires, student assessments, and key informant interviews. Data were collected from trained teachers, teacher educators, school leaders, and learners across selected project regions to evaluate changes in instructional practices and learning outcomes.
Findings: The findings indicate that TCPD significantly improved teachers’ adoption of child-centered, play-based, inclusive, …
Doris Wylee Becker, Piano, Department Of Music, University Of Richmond
Doris Wylee Becker, Piano, Department Of Music, University Of Richmond
Music Department Concert Programs
No abstract provided.
2024 Student Outcomes Report, Systems Intelligence And Data Analytics, University Of Nebraska At Omaha
2024 Student Outcomes Report, Systems Intelligence And Data Analytics, University Of Nebraska At Omaha
Accreditation
No abstract provided.
Immersive Experience Design In Contemporary Theme Parks: A Case Study Of Universal Epic Universe, Roi Andre F. Ramos
Immersive Experience Design In Contemporary Theme Parks: A Case Study Of Universal Epic Universe, Roi Andre F. Ramos
Experience Industry Management
The evolution of contemporary theme parks has increasingly centered on large-scale immersive environments designed to transport guests into cohesive narrative worlds. The purpose of this study was to examine the immersive design practices utilized at Universal Epic Universe. A case study was conducted to evaluate five themed lands, four attractions, and four queue environments using a researcher-developed observational instrument. The results of this study determined that Epic Universe effectively sustains immersion through architectural enclosure, intellectual property-based world-building, sensory layering, and interactive technologies that increase guest agency. The park demonstrates a cohesive “self-contained land” model that minimizes negative cues and extends …
Senate Constitution (2026 Edition), University Senate
Senate Constitution (2026 Edition), University Senate
University Senate Governance
Current Version of the Senate University Constitution
Retained Placenta Removal Device (Womb-A), Savannah Fujimoto, Ciana Villar, Edward Barba
Retained Placenta Removal Device (Womb-A), Savannah Fujimoto, Ciana Villar, Edward Barba
Biomedical Engineering
Womb-a aims to design a safe, minimally invasive, and effective product that solves the issue of removing retained placentas after childbirth reducing the risk of infection and uterine trauma. Womb-a brings a handheld motorized device that can be used at the bedside immediately after delivery of a baby. Retained placentas happen to approximately 1-3% of deliveries [1] which elevates the likelihood of postpartum infection and hemorrhaging. Current solutions include manual removal, windmill technique, and D&C which individually have severe issues such as elevating risk of infection, inconsistent removal of adhered placenta, and surgical complications. The Womb-a aims to mitigate these …
Reimagining The Laguna Lake Driving Range, Audrey Bonifacio, Jessica Rice
Reimagining The Laguna Lake Driving Range, Audrey Bonifacio, Jessica Rice
City and Regional Planning
The Laguna Lake Municipal Golf Course is located in San Luis Obispo, California, and is operated by the city. Recently, the community, city staff, and the City Council have begun a conversation regarding the use of the golf course. To explore the different uses, this senior project presents four alternative developments for a selected area of the golf course. These four uses include enhancing the existing driving range, a sports facility, a children’s center, and a senior living community. To assess these alternatives, the project explores current urban planning theories, development trends, and case studies for each use. Through this …
Improving Public Transport Through Machine Learning Influence Flow Analysis (Mifa): Southern England Bus Case Study, Benjamin Lee, Wolfgang Garn, Masoud Fakhimi, Nick F. Ryman-Tubb
Improving Public Transport Through Machine Learning Influence Flow Analysis (Mifa): Southern England Bus Case Study, Benjamin Lee, Wolfgang Garn, Masoud Fakhimi, Nick F. Ryman-Tubb
Research Collection School Of Accountancy
Public transport (PT) is crucial for enhancing the quality of life and enabling sustainable urban development. As part of the UK Transport Investment Strategy, increasing PT usage is critical to achieving efficient and sustainable mobility. This paper introduces Machine Learning Influence Flow Analysis (MIFA), a novel framework for identifying the key influencers of PT usage. Using survey data from bus passengers in Southern England, we evaluate machine learning models. Subsequently, MIFA uncovers that easy payments, e-ticketing, and mobile applications can substantially improve the PT service. MIFA’s implementation demonstrates that strength and importance lead to specific insights into how service characteristics …
Disarming Data: An Empirical Take On The Loaded Debate About Felon-In-Possession Of A Firearm, Jonathan Abel
Disarming Data: An Empirical Take On The Loaded Debate About Felon-In-Possession Of A Firearm, Jonathan Abel
Faculty Scholarship
This Article answers a crucial empirical question at the heart of the scholarly and judicial debates about the laws governing felon-in-possession of a firearm: How often do defendants charged with this offense have violent felony convictions? Using a comprehensive dataset of over 27,000 defendants charged in California from 2021 through 2024, the study provides a novel, large-scale analysis of how prosecutors deploy this most-common gun charge. The findings substantiate longstanding concerns that felon-in-possession is overbroad in its application to nonviolent felons—only 8.5% of defendants had a “violent felony” conviction as defined by California law, rising to just 28.8% under a …
The Cleveland Foundation: Greater Circle Living Evaluation, Molly Schnoke, Kristen A. Blazek, René-Simone Martin
The Cleveland Foundation: Greater Circle Living Evaluation, Molly Schnoke, Kristen A. Blazek, René-Simone Martin
All Maxine Goodman Levin School of Urban Affairs Publications
No abstract provided.
Applying Two-Stage Risk-Based Market Structures For Energy Hub-Based Plug-In Electric Vehicles Using Information Decision Gap Theory And A Hybrid Recurrent Convolutional Network, A. Heidari, R. C. Bansal, R. Bo
Applying Two-Stage Risk-Based Market Structures For Energy Hub-Based Plug-In Electric Vehicles Using Information Decision Gap Theory And A Hybrid Recurrent Convolutional Network, A. Heidari, R. C. Bansal, R. Bo
Electrical and Computer Engineering Faculty Research & Creative Works
This paper investigates the optimal operation of an energy hub engaged in both day-ahead and real-time trading. A two-stage optimization framework Information Gap Decision Theory (IGDT) for day-ahead bidding and stochastic programming with Monte Carlo scenarios for real-time recourse is applied. Risk-neutral, risk-averse, and risk-taking strategies are considered to capture different risk preferences. The hub integrates combined heat and power, renewable energy, plug-in electric vehicles, and vehicle-to-grid and grid-to-vehicle technologies. Price and load forecasts are generated using a hybrid recurrent convolutional network (HRCN). Results highlight the trade-off between risk management and economic performance: costs are 16.5 % higher in the …
Microwave Dielectric Properties Of Geopolymer Precursor Powders, Linh T. Duong, Abu Naser Rashid Reza, Kristen M. Donnell, Christopher R. Shearer
Microwave Dielectric Properties Of Geopolymer Precursor Powders, Linh T. Duong, Abu Naser Rashid Reza, Kristen M. Donnell, Christopher R. Shearer
Electrical and Computer Engineering Faculty Research & Creative Works
Geopolymers are sustainable structural materials with properties similar to ordinary Portland cement concrete. To better understand the fundamental reaction mechanisms of geopolymers, a microwave materials characterization approach is used. In this research work, the dielectric properties (permittivity and loss factor) of common precursor powders used to make geopolymers (GPPs)—fly ash, lime, metakaolin, silica fume, slag, and zeolite—are measured over the S- and X-band frequency ranges (i.e., 2.0–4.0 GHz and 8.2–12.4 GHz, respectively). The physical characteristics, elemental composition, mineralogical properties, and phase characterization of the GPPs are then correlated to dielectric properties. Permittivity of GPP, classified as pozzolanic or latent hydraulic, …
Explainable Deep Reinforcement Learning For Real-Time Network Intrusion Detection, Sebastian Bustamante
Explainable Deep Reinforcement Learning For Real-Time Network Intrusion Detection, Sebastian Bustamante
Shelby Hall Graduate Research Forum Posters
This research aims to enhance current Deep Reinforcement Learning (DRL)-based Intrusion Detection System (IDS) models by adding transparency using Explainable Artificial Intelligence (XAI). This study proposes a DRL-based IDS architecture that incorporates explainability to provide interpretable reasons for IDS decisions. A Deep Q-Network (DQN) agent will be trained in a simulated network using well-known datasets to learn traffic behavior. XAI methods will be applied to extract feature importance and allow users to understand why alerts were generated. The outcomes of this research will contribute to improving network security by providing more insight on how XAI could be adopted into modern …
Integrating Nonlinear Phase Space Analysis And Image-Based Representation For Network Intrusion Detection, Chakriya Suon
Integrating Nonlinear Phase Space Analysis And Image-Based Representation For Network Intrusion Detection, Chakriya Suon
Shelby Hall Graduate Research Forum Posters
With the rise of cyber threats, cybersecurity continues to play a critical role in the ever-changing landscape of technology by protecting and defending against threat agents. Our research applies novel machine learning (ML)techniques to detect network intrusions effectively. Our primary focus is to extend prior research, which has used network flows that are processed by a nonlinear phase space algorithm (NLPSA). The NLSPA approach has proven extremely effective in detecting anomalous or malicious traffic patterns on representative data but requires extensive training time.
Our contribution integrates deep learning into the anomaly detection approach by creating image-based representations of the adjacency …
Calibration Of Time-Domain Impedance Probe (Tdip) To Investigate Space Plasma Dynamics During Periods Of Ionospheric Instability, Piyas Chowdhury, Soumyajit Dey, Edmund A. Spencer
Calibration Of Time-Domain Impedance Probe (Tdip) To Investigate Space Plasma Dynamics During Periods Of Ionospheric Instability, Piyas Chowdhury, Soumyajit Dey, Edmund A. Spencer
Shelby Hall Graduate Research Forum Posters
The traditional Plasma Impedance Probe (PIP) is popular for diagnosing parameters of the ionospheric plasma to study the space environment. However, the resolution of data measurements of existing PIP instruments, operating at higher frequencies, limits the analysis to studying the plasma features at electron scales. Studying plasma ion parameters is essential to understanding the ionospheric instability growth rates. This can only be accomplished by operating a diagnosing instrument at lower frequencies corresponding to ion scales. A recently developed Time Domain Impedance Probe (TDIP) is implementable for fast moving spacecraft using a time domain approach. The instrument has higher measurement resolution …
Deconstructing Digital Disinformation: Social Media Data Preparation And Analysis For Healthcare Research, Russell W. Cantrell, Matt Campbell
Deconstructing Digital Disinformation: Social Media Data Preparation And Analysis For Healthcare Research, Russell W. Cantrell, Matt Campbell
Shelby Hall Graduate Research Forum Posters
The spread of medical misinformation poses significant threats to public health, healthcare system stability, and the quality of patient care. Our research examines misinformation targeting the U.S. healthcare system. It uses a mixed-methods approach that includes social media data analysis, surveys of practicing nurses, and agent-based simulation. This poster focuses on the initial phase, which attempts to detect potential misinformation and disinformation by analyzing patterns in social media posts and user account behaviors. A detailed account of the data preparation process lays the groundwork for examining how disinformation operates online. This phase draws on the Pushshift repository, which offers historical …
Conceptual Architecture For Digital Twin (Dt) In Disaster Response Applications, Sai Raghava Pathuri
Conceptual Architecture For Digital Twin (Dt) In Disaster Response Applications, Sai Raghava Pathuri
Shelby Hall Graduate Research Forum Posters
Digital Twin Enabled Artificial Intelligence Uncrewed System (Model-Based Systems Engineering) Artificial Intelligence Digital Twin (DT)+Cyber Physical System. The goal was to create DTs of Multi Class UxS. The system of interest was the Uncrewed Ground Vehicle (UGV) and Uncrewed Aerial Vehicle (UAV). The modeling language used SysML v2.
Detecting Sensor Data Manipulation, Ricky Green, Michael Black
Detecting Sensor Data Manipulation, Ricky Green, Michael Black
Shelby Hall Graduate Research Forum Posters
The integration of Information Technology (IT) and Operational Technology (OT) have made OT devices vulnerable to threats that have been successfully exploited with devastating results. Many modern techniques for hardening and securing enterprise IT systems are either incompatible with OT components in an Industrial Control System (ICS), reduce the efficiency of processes, or are prohibitively expensive to implement. Research in the area of ICS security focuses on a top-down approach, such as intrusion prevention by securing the perimeter of the network at layers 3 – 5 of the Purdue model by hardening IT systems. This approach is useful in Enterprise …
Temporal Eclectic Rule Extraction: Exploring Trustworthy Explainable Artificial Intelligence For Recurrent Neural Networks, Micah Israel
Temporal Eclectic Rule Extraction: Exploring Trustworthy Explainable Artificial Intelligence For Recurrent Neural Networks, Micah Israel
Shelby Hall Graduate Research Forum Posters
Enhancing temporal neural network interpretability can greatly increase the effectiveness of Intrusion Detection Systems (IDS). While explainable Deep Neural Networks (DNN) have been researched heavily in the literature for intrusion detection, explainable temporal neural networks lack the same attention. Current state-of-the-art XAI techniques rely on black-box surrogate explainers, which attempt to generate post-hoc explanations without valuable information inside the model's hidden neurons. To address this, this proposal introduces a novel white-box XAI method, Temporal Eclectic Rule Extraction (TERE), which is designed to provide explainable rules directly from temporal models. TERE aims to enhance decision transparency in IDS by offering interpretable …
Post-Dobbs Realities: Ethical Imperatives For Data Transparency And Trust In Maternal Health Care, Faith E Fletcher, Sophie L Schott, Kelley Akhiemokhali, Kari White
Post-Dobbs Realities: Ethical Imperatives For Data Transparency And Trust In Maternal Health Care, Faith E Fletcher, Sophie L Schott, Kelley Akhiemokhali, Kari White
Center for Medical Ethics and Health Policy Staff Publications
No abstract provided.
The Filamentous Ultrastructure Of The Popz Condensate Is Required For Its Cellular Function, Daniel Scholl, Tumara Boyd, Andrew P Latham, Alexandra Salazar, Asma M A M Khan, Steven Boeynaems, Alex S Holehouse, Gabriel C Lander, Andrej Sali, Donghyun Park, Ashok A Deniz, Keren Lasker
The Filamentous Ultrastructure Of The Popz Condensate Is Required For Its Cellular Function, Daniel Scholl, Tumara Boyd, Andrew P Latham, Alexandra Salazar, Asma M A M Khan, Steven Boeynaems, Alex S Holehouse, Gabriel C Lander, Andrej Sali, Donghyun Park, Ashok A Deniz, Keren Lasker
Duncan NRI Faculty and Staff Publications
Biomolecular condensates have key roles in regulating cellular processes. Yet, the relationship between atomic features and condensate function remains poorly understood. We studied this relationship using the polar organizing protein Z (PopZ). Here, we revealed hierarchical assembly of PopZ into a filamentous condensate by integrating cryo-electron tomography, biochemistry, single-molecule techniques and molecular dynamics simulations. The PopZ helical domain drives filamentation and condensation, while the disordered region inhibits them. Phase-dependent conformational changes prevent interfilament contacts in the dilute phase and expose client-binding sites in the dense phase. Perturbing filament formation in vitro alters the dynamics of scaffold and client proteins and …
Postcolonial Ecocriticism And The Recovery Of Hope: Okri, Dangarembga, And The Spiritual, John C. Hawley
Postcolonial Ecocriticism And The Recovery Of Hope: Okri, Dangarembga, And The Spiritual, John C. Hawley
English
This essay stages a comparative ecocritical reading of African and transnational texts—Cajetan Iheka’s Naturalizing Africa, Ben Okri’s Every Leaf a Hallelujah, Tsitsi Dangarembga’s This Mournable Body, Greg Sarris’s Becoming Story, and Karen Armstrong’s Sacred Nature—to examine how narrative re-situates the human within more-than-human worlds. Drawing on Iheka’s “aesthetics of proximity,” postcolonial theory, and critical posthumanism, it contrasts Okri’s hopeful, child-centered fable of multispecies reciprocity with Dangarembga’s portrayal of “slow violence,” psychic dispossession, and eco-touristic commodification in neoliberal Zimbabwe. Indigenous and spiritual frameworks in Sarris and Armstrong further disclose ancient precedents for posthuman ethics, foregrounding humility, …
Freezing Fruit, Mikayla Cerney
Salary Report, 2026 March, Eastern Michigan University
Salary Report, 2026 March, Eastern Michigan University
EMU Salary Reports
No abstract provided.
Evaluating The Effects Of Anti-Forensic Activities In Additive Manufacturing Devices, Daniel B. Miller
Evaluating The Effects Of Anti-Forensic Activities In Additive Manufacturing Devices, Daniel B. Miller
Shelby Hall Graduate Research Forum Posters
Additive Manufacturing (AM) is a newer famlily of production tecchologies that constructs objects by fusing layers of material into the desired shape. Methods for achieving this as described in Gibson et al. [1] are varied and include Fused Filament Deposition, Selective Laser Sintering, Stereolithography (SLA), and Powder Bed Fusion. Computers are integral to the processes being responsible for creating and decoding design instructions, collecting and processing sensor data, and, ultimately, directing the activity of the machines which implement the process. Additionally, the AM industry is rapidly expanding, worth an estimated $23 billion in 2023 and projected to reach $88 billion …
Detecting Sophisticated Cyberattacks On Public Water Infrastructure, Ayrton Purdy
Detecting Sophisticated Cyberattacks On Public Water Infrastructure, Ayrton Purdy
Shelby Hall Graduate Research Forum Posters
From around the globe, malicious actors continually probe critical infrastructure assets for weaknesses. Their backgrounds, goals, and motives may vary, but the purpose of their attacks is the same: to damage, undermine, or exploit the functionality of these assets [2]. At a fundamental level, critical infrastructure is any essential system and asset vital to national security. Critical infrastructure includes assets such as power, transportation, telecommunications, water and wastewater systems (WWS), and many more [3].
Wealth-Based Disparities In Higher Education: Compounding Privilege, Multiplying Barriers, Rachel Moran, Jonathan D. Glater
Wealth-Based Disparities In Higher Education: Compounding Privilege, Multiplying Barriers, Rachel Moran, Jonathan D. Glater
Faculty Scholarship
This Special Issue is prompted by a confluence of developments in higher education: increasing access to postsecondary schooling overall and concurrent increasing socioeconomic inequality. After World War II, American colleges and universities began to “massify,” expanding their enrollments by opening their doors to people who previously would have found them closed. First, these institutions admitted veterans, then people of color and women (Altbach and Reisberg 2018, p. 63; Gumport et al. 1997, p. 2; Labaree 2017, pp. 106–7). The U.S. was not an outlier, and in the ensuing decades, nations around the globe saw unprecedented increases …
Bankrupt Crypto Organizations, Kara Bruce, Christopher K. Odinet, Andrea Tosato
Bankrupt Crypto Organizations, Kara Bruce, Christopher K. Odinet, Andrea Tosato
Faculty Scholarship
This Article provides the first comprehensive analysis of the intersection between decentralized autonomous organizations (DAOs) and American bankruptcy law. DAOs are blockchain-based entities that enable individuals to pursue common goals using decentralized decision-making and automated governance. Since their recent emergence, DAOs have proliferated dramatically—with over 20,000 organizations managing over $20 billion in assets and engaging in activities ranging from investment management to real estate and even attempting to purchase historic copies of the U.S. Constitution. Yet like any other organization, DAOs can fail, creating an urgent need to understand what happens when unstoppable code meets immovable bankruptcy law.
Our investigation …
Contagious Discrimination: Why Race-Blind Justice In Courtrooms Is Not Enough, Yijia Lu, Murat C. Mungan
Contagious Discrimination: Why Race-Blind Justice In Courtrooms Is Not Enough, Yijia Lu, Murat C. Mungan
Faculty Scholarship
Existing theories of discrimination focus on discrimination at the individual, societal, or organizational level. We highlight the importance of the dynamic relationship between different institutional actors who jointly give rise to discriminatory outcomes. This reveals that discrimination can be contagious: discrimination that would otherwise not occur at one institutional level can arise due to discrimination at another institutional level. Therefore, discrimination by some actors can trickle down and create disparate impacts in processes that would otherwise be free of discrimination. This phenomenon, which we term “contagious discrimination,” can manifest itself in various settings such as employment and commercial trade negotiations. …