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Articles 25441 - 25470 of 1103435
Full-Text Articles in Entire DC Network
Reconnecting Behind Bars: Why Visitation Reform Matters For Reentry Success, Aaron Menzelefsky
Reconnecting Behind Bars: Why Visitation Reform Matters For Reentry Success, Aaron Menzelefsky
Student Works
No abstract provided.
Gambling Away The Integrity Of Sports, Michael P. Cesa
Gambling Away The Integrity Of Sports, Michael P. Cesa
Student Works
No abstract provided.
The International Olympic Committee’S Rule 50 In The Land Of The Free (Speech), Holly Bebout
The International Olympic Committee’S Rule 50 In The Land Of The Free (Speech), Holly Bebout
Student Works
No abstract provided.
Age, Ambiguity, And Administrative Overreach: How U.S. Import Law Keeps American Motorsport In The Slow Lane, Conor Abbamonte
Age, Ambiguity, And Administrative Overreach: How U.S. Import Law Keeps American Motorsport In The Slow Lane, Conor Abbamonte
Student Works
No abstract provided.
It’S Not A Trap!: How Employers Can Adjust To Noncompete Agreement Bans & Restrictions With Fair Alternatives, Sophia D’Agostino
It’S Not A Trap!: How Employers Can Adjust To Noncompete Agreement Bans & Restrictions With Fair Alternatives, Sophia D’Agostino
Student Works
No abstract provided.
Health Data Under Siege: The New Frontier Of Information Warfare, Karina T. Agarwal
Health Data Under Siege: The New Frontier Of Information Warfare, Karina T. Agarwal
Student Works
No abstract provided.
An Unjustified Judicial Invention: A Case For The Removal Of The Natural Law Exception For Patentable Subject Matter, Bradley O. Schlager
An Unjustified Judicial Invention: A Case For The Removal Of The Natural Law Exception For Patentable Subject Matter, Bradley O. Schlager
Student Works
No abstract provided.
Kbootrepair: Automated Llm Guided Repair Of Linux Kernel Boot Failures, Ryan P. Garfinkel
Kbootrepair: Automated Llm Guided Repair Of Linux Kernel Boot Failures, Ryan P. Garfinkel
Honors Undergraduate Theses
The Linux kernel is an actively developed, highly configurable system software that supports a diverse range of platforms. Kernel fuzzers, like Google’s syzkaller, have been embraced to find bugs, but they require bootable configurations that work in their environment. However, these tools rely on a set of configurations that exclude most code changes. Each option controls which code is included when the kernel compiles. Making modifications requires extensive knowledge, as there are over 15,000 interrelated configuration options. While prior work has used formal methods to guarantee configuration validity, this doesn’t guarantee bootability. In this paper, we introduce KBootRepair, an iterative …
Constrained Dynamics Of Rapid Orbit Motion Emulator (Rome) Using Udwadia-Kalaba Approach, Keanu Brayman
Constrained Dynamics Of Rapid Orbit Motion Emulator (Rome) Using Udwadia-Kalaba Approach, Keanu Brayman
Honors Undergraduate Theses
The Rapid Orbit Motion Emulator (ROME) is designed to be a hardware-in-the-loop (HIL) testbed for orbital control algorithms. It consists of a four-wheeled ground vehicle and a six-degree-of-freedom robotic manipulator. This work investigates the use of optimal control to execute orbital trajectories on ROME using the Udwadia-Kalaba (UK) formulation to model the system dynamics. The UK formulation is a novel method to derive equations of motion for constrained systems. Unlike traditional approaches, the UK approach can be applied directly to any constrained dynamical system. This project utilizes the UK approach to derive dynamics with trajectory following constraints for the ROME …
Non-Invasive Detection Of Intracranial Pressure, Andrei V. Nesterenko
Non-Invasive Detection Of Intracranial Pressure, Andrei V. Nesterenko
Honors Undergraduate Theses
Intracranial pressure is a critical metric used when managing tumors, strokes, TBIs, hydrocephalus, and other operative conditions. Traditional methods for continuous ICP monitoring, intraparenchymal catheters, epidural transducers etc., are invasive and carry a high risk of infection. Previous attempts to create accurate, easy to use, and non-invasive ICP monitoring techniques have been unsuccessful. In this study, we investigated the utility of supraorbital and posterior auricular photoplethysmography to monitor changes in ICP during orthostatic tilt and hyperventilation, which increase and decrease ICP respectively.
Through a continuous 5-minute recording on a tilt-table we characterized SOA and PAA waveforms in 12 participants (ages …
Dordt University 2026-27 Catalog, Dordt University. Registrar's Office
Dordt University 2026-27 Catalog, Dordt University. Registrar's Office
Academic Catalogs
Academic Catalog for 2026-27
Shock The System: Pouring Water On The Cpuc’S Income-Graduated Flat Rates In Favor Of More Effective Rate Structures, Benjamin Hill
Shock The System: Pouring Water On The Cpuc’S Income-Graduated Flat Rates In Favor Of More Effective Rate Structures, Benjamin Hill
Dickinson Law Review (2017-Present)
The volume of rate cases in the United States continues to increase, resulting in constant price hikes for utility customers. The battle between corporate profit and consumer financial satisfaction will likely continue. Considering these diametrically opposed interests, the California Public Utility Commission, at the behest of the California legislature, decreased the rate consumers pay for usage and added fixed fees based on income to utility bills. The broader goals of the Commission’s model are to maintain utility profitability, alleviate the financial burden consumers face, promote energy conservation, and develop energy efficient technology to combat greenhouse gas emissions. This Comment will …
Iere Annual Report 2026, Erin Largo-Wight, Heather Barnes Truelove, Kelly Rhoden, Jessica Barnes, Lauren Canady, Nicole Lowe, Ruby Cox, Sydney Barrett, Kathleen Hutton
Iere Annual Report 2026, Erin Largo-Wight, Heather Barnes Truelove, Kelly Rhoden, Jessica Barnes, Lauren Canady, Nicole Lowe, Ruby Cox, Sydney Barrett, Kathleen Hutton
Annual Reports
2026 Annual Report of the Institute for Environmental Research and Education
Administrative Self-Constitutionalism, Brian Lipshutz
Administrative Self-Constitutionalism, Brian Lipshutz
Public Law and Legal Theory Working Papers
Since the days of the Interstate Commerce Commission, federal agencies have generally refused to address the constitutionality of statutory provisions. They have offered little reasoning to justify that refusal, yet scholars have generally accepted it. This Article explains why agencies can—and should—address constitutional challenges to statutory provisions.
Agencies have the power to assess the constitutionality of statutory provisions. They already exercise a similar authority when they apply the canon of constitutional avoidance and consider the constitutionality of individual actions. There is no basis for stopping short of addressing challenges to statutes. And many scholars have recognized that, as a formal …
Los Pescadores, Manuel F. Medrano
Analyzing Headers With Chatgpt, Raymond Rosas
Analyzing Headers With Chatgpt, Raymond Rosas
Open Educational Resources
This assignment invites students to examine how section headers function as rhetorical and organizational tools in research writing by analyzing headers generated by ChatGPT. Using a shared sample text, students prompt generative AI to produce multiple sets of headers that foreground different analytical emphases (e.g., race or language). Students then compare these AI-generated headers to identify how shifts in emphasis reshape the implied structure, focus, and interpretation of a text. Through analysis and reflection, students use these insights to inform their own planning for inquiry-based research writing, while critically evaluating the affordances and limitations of generative AI at an early …
A Systematic Review Of Artificial Intelligence For Software Requirements In Open-Source Software, Amal Alharbi, Khaled Slhoub
A Systematic Review Of Artificial Intelligence For Software Requirements In Open-Source Software, Amal Alharbi, Khaled Slhoub
Electrical Engineering and Computer Science Faculty Publications
Software stakeholders have seamlessly integrated artificial intelligence technologies into the requirements engineering processes for open-source software, which presents both opportunities and challenges. This systematic literature review examines the current state of artificial intelligence application in requirements engineering for open-source software and emphasizes the opportunities and challenges faced by practitioners. Based on the reviewed literature, artificial intelligence technologies, such as machine learning, natural language processing, large language models, and deep learning techniques, have been increasingly applied to support key requirements engineering activities, particularly requirements elicitation, classification, prioritization, and stakeholder analysis. However, the lack of structured data in open-source software directly challenges …
Counting Constraints In Pomdps Based On Pid Controllers, Garrett Gmeiner, Patrick Quinn, Asmaa Alqurashi, Prem Swaroop Pochiraju, Mirajul Islam, Jackson Contreras, Sajina Pathak, Rwaida Alssadi, Sumana Boyapalli, Raghavendra Mallesha, Vijay Uppalapati, Javier Laboy-Jusino, Nikiraj Konwar, Muntaser Syed, Marius Silaghi
Counting Constraints In Pomdps Based On Pid Controllers, Garrett Gmeiner, Patrick Quinn, Asmaa Alqurashi, Prem Swaroop Pochiraju, Mirajul Islam, Jackson Contreras, Sajina Pathak, Rwaida Alssadi, Sumana Boyapalli, Raghavendra Mallesha, Vijay Uppalapati, Javier Laboy-Jusino, Nikiraj Konwar, Muntaser Syed, Marius Silaghi
Electrical Engineering and Computer Science Faculty Publications
A Bayesian architecture is proposed for integrating counting constraints in the process of decision making with Partially Observable Markov Decision Models for robotics. In addressed problems, the counted events are detected with noisy sensors, making their detection uncertain. We handle their count as a random variable to be updated on observations. In our test scenario, an iRobot Create3 moves along a hallway and needs to count how many doors it passes while following the wall. After detecting that the given number of doors have been passed, the robot should turn around and return to the starting region. For this kind …
Equity In Coastal Resilience: A Framework For University Engagement In Community-Based Projects, Juita-Elena (Wie) Yusuf, Jennifer L. Whytlaw, Marina Saitgalina, Ogechukwu N. Nwandu-Vincent, Khairul A. Anuar, Thomas Allen, Joshua Behr
Equity In Coastal Resilience: A Framework For University Engagement In Community-Based Projects, Juita-Elena (Wie) Yusuf, Jennifer L. Whytlaw, Marina Saitgalina, Ogechukwu N. Nwandu-Vincent, Khairul A. Anuar, Thomas Allen, Joshua Behr
School of Public Service Faculty Publications
As communities face intensifying climate hazards, it is vital to strengthen resilience in ways that explicitly prioritize social equity. This study examines how higher education institutions can better support government, nonprofit, and community partners in advancing equity-centered coastal resilience in the U.S. Utilizing a qualitative research design, we analyze discussions among researchers and practitioners during a three-day workshop. We present a framework derived from a thematic analysis of breakout group transcripts from a three-day national virtual workshop involving 113 researchers and practitioners. The analysis identified four core themes: the necessity of aligning projects with community-defined priorities; the foundational role of …
Social Safety And Social Security: Validating Context-Specific Instruments For Slums, Liss D. Romero, Katherine Palacio, Zacheous Ako Abang, Valeria Silgado, Humberto Llinas, Leidy González, Erika Frydenlund, Daniel Bolivar, Jose J. Padilla
Social Safety And Social Security: Validating Context-Specific Instruments For Slums, Liss D. Romero, Katherine Palacio, Zacheous Ako Abang, Valeria Silgado, Humberto Llinas, Leidy González, Erika Frydenlund, Daniel Bolivar, Jose J. Padilla
VMASC Publications
Social safety and social security are concepts that help explain a community's well-being by assessing how it manages and mitigate existing, or perceived, risks. However, these terms are often conflated, which can limit understanding, particularly in areas with unstable living conditions. This study explores both concepts in the context of residents living in slums. As the number of displaced people grows, slums and informal settlements are becoming increasingly common worldwide, making it essential to clarify these concepts. Residents of slums face numerous hazards, including crime, violence, inadequate housing, overcrowding, and limited access to essential services. To measure social safety and …
Socio-Spatial Patterns Of Suicide Mortality In The United States, Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon, Philippe J. Giabbanelli, Praveen Kumar
Socio-Spatial Patterns Of Suicide Mortality In The United States, Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon, Philippe J. Giabbanelli, Praveen Kumar
VMASC Publications
Suicides cause more than 49,000 deaths per year in the United States, including 55% associated with the use of a firearm. Across states and counties in the US, suicide mortality exhibits substantial geographical and sociodemographic heterogeneity. However, the role of large-scale social networks in shaping this variation remains underexplored. To assess how both the risk of suicide mortality and the effect of firearm restriction policies propagate through inter-county social ties, we integrate data on county-level suicide mortality (2010–2022) and the Facebook Social Connectedness Index (SCI), a continuous measure of the strength of social ties between counties used to derive weighted …
Synergistic Sensitization Of Pancreatic Cancer Cells By Nanosecond Pulsed Electric Fields And Cold Atmospheric Plasma Via Amplifying Ros And Apoptotic Signaling, Zobia Minhas, Edwin A. Oshin, Lifang Yang, Chunqi Jiang, Siqi Guo
Synergistic Sensitization Of Pancreatic Cancer Cells By Nanosecond Pulsed Electric Fields And Cold Atmospheric Plasma Via Amplifying Ros And Apoptotic Signaling, Zobia Minhas, Edwin A. Oshin, Lifang Yang, Chunqi Jiang, Siqi Guo
Bioelectrics Publications
Pancreatic cancer remains a highly lethal malignancy, with standard therapies offering limited benefits in advanced stages; thus, novel strategies that exploit specific cancer cell vulnerabilities are urgently needed. Building on our previous findings that nanosecond pulsed electric fields (nsPEF) combined with cold atmospheric plasma (CAP) produce enhanced cytotoxicity, this study investigates the molecular mechanisms underlying this synergy. Pan02 pancreatic cancer cells were subjected to nsPEF, CAP, or a combination of both. We assessed cell viability, reactive oxygen species (ROS) production, and mitochondrial integrity using metabolic assays, flow cytometry, and fluorescence microscopy. Apoptotic markers were evaluated via Western blotting and caspase …
Nanosecond Electric Pulses As A Novel In Situ Vaccination Strategy For Cancer Treatment: Mechanisms, Challenges And Prospects, Siqi Guo
Bioelectrics Publications
Nanosecond electric pulses (nsEPs) are an emerging pulsed-power technology with unique bioelectric characteristics distinct from conventional long-pulse electroporation. As a tunable physical modality, nsEPs can modulate intracellular structures, membrane dynamics, and signaling pathways. Increasing evidence supports nsEPs as a promising non-thermal tumor ablation approach due to their high spatial precision, preservation of critical tissue structures, and minimal adverse effects. One of the most significant discoveries associated with nsEP tumor ablation is the induction of potent systemic antitumor immunity, particularly in situ vaccination (ISV) effects and, in some cases, abscopal effects against distant untreated tumors. Substantial evidence demonstrates that nsEPs can …
Internationalization Struggles And Student Mobility: Ethnic Exclusion And Racism In Philippine Higher Education, Yasmin Y. Ortiga
Internationalization Struggles And Student Mobility: Ethnic Exclusion And Racism In Philippine Higher Education, Yasmin Y. Ortiga
Research Collection School of Social Sciences
There is an extensive literature on student mobility that seeks to understand the nature of, rationales for and consequences of internationalisation in higher education. This scholarship primarily focusses on students studying in the ‘west’. This paper shows how ‘atypical’ student destinations also illuminate the contradictions of internationalisation, revealing the challenges faced by higher education settings beyond academic centres in the west. Drawing on the case of the Philippines, I discuss how private universities actively recruited international students to maximise profits from student tuition. Yet, these efforts led to a backlash among Filipino educators and students, prompting administrators to institute policies …
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics, Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics, Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu
Research Collection School Of Computing and Information Systems
Semi-supervised community detection seeks to find a specified community type when only few communities are labeled. Existing "select-then-refine" pipelines often start from mis-aligned cores and rely on Reinforcement-Learning or Generative Adversarial Network, increasing computational cost and limiting scalability. We address these issues with a unified energy framework under crystallization kinetics that jointly models energy, structure, and growth. Based on this perspective, we propose CLique ANNealing (CLANN), which first employs Nucleus Proposer to select candidate clique as community core under four physics-inspired criteria. A learning-free Transitive Annealer then iteratively merges neighboring cliques and repositions the nucleus, enabling spontaneous, scalable community growth. …
Potent But Stealthy: Rethink Profile Pollution Against Sequential Recommendation Via Bi-Level Constrained Reinforcement Paradigm, Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
Potent But Stealthy: Rethink Profile Pollution Against Sequential Recommendation Via Bi-Level Constrained Reinforcement Paradigm, Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
Research Collection School Of Computing and Information Systems
Sequential Recommenders, which exploit dynamic user intents through interaction sequences, are vulnerable to adversarial attacks. While existing attacks primarily rely on data poisoning, they require large-scale user access or fake profiles, thus lacking practicality. In this paper, we focus on the Profile Pollution Attack that subtly contaminates partial user interactions to induce targeted mispredictions. Previous PPA methods suffer from two limitations, i.e., i) overreliance on sequence horizon impact restricts fine-grained perturbations on item transitions, and ii) holistic modifications cause detectable distribution shifts. To address these challenges, we propose a constrained reinforcement driven attack CREAT that synergizes a bi-level optimization framework …
Volatility Modeling With An Application To Risk Parity Portfolios, Kenneth Hou
Volatility Modeling With An Application To Risk Parity Portfolios, Kenneth Hou
CMC Senior Theses
This thesis studies volatility modeling in the context of risk parity portfolio construction. I compare three risk parity portfolios that differ only in their underlying volatility model: a historical covariance baseline, a Bayesian stochastic volatility model, and a GRU–GARCH hybrid neural network. Using daily returns on Kenneth French’s five industry portfolios from January 2016 through December 2025, I construct monthly rebalanced portfolios under each model, with the SV and GRU forecasts embedded in hybrid covariance matrices that combine forecasted volatilities with rolling historical correlations. The results document a divergence between forecast accuracy and portfolio performance: the SV model is the …
Why Dining Out Stayed Cheap In Japan, Taketo Hayashi
Why Dining Out Stayed Cheap In Japan, Taketo Hayashi
CMC Senior Theses
This thesis examines why food-away-from-home inflation in Japan was persistently lower than in the United States from 1995 to 2021 and why this dynamic changed after 2021 during the COVID-19 pandemic. Two structural buffers sustained the divergence: wage stagnation in Japan, which kept restaurant labor costs flat for nearly three decades, and a strong yen, which absorbed global commodity price shocks before they could reach restaurant menus. In 2008, the financial crisis sent food and energy prices skyrocketing. However, even though Japan imports most of its food and energy, the effects from global price increases were due to a strong …
Rethinking Reentry In The United States: A Comparative Analysis Of Incarceration Strategies In Norway, Singapore, And Austria, Amelia Ulmer
Rethinking Reentry In The United States: A Comparative Analysis Of Incarceration Strategies In Norway, Singapore, And Austria, Amelia Ulmer
CMC Senior Theses
The prison reentry system in the United States remains a pressing social, economic, and political issue, as hundreds of thousands of prisoners are released each year with few resources to assist them with their transition. In fact, these previously incarcerated people are arguably set up to fail, which leads to over half of them reoffending within two years. This thesis analyzes how the United States should reform its current prison system based on lessons learned from three international case studies. These three case studies, Norway, Singapore, and Austria were chosen as countries that have globally low recidivism rates and unique …
Neuroimaging Correlates Of Differences In Learning From Repeated Probabilistic Outcomes, Allison E. Rudolph
Neuroimaging Correlates Of Differences In Learning From Repeated Probabilistic Outcomes, Allison E. Rudolph
CMC Senior Theses
Learning from experience requires integrating feedback over time, yet individuals vary widely in how effectively they extract structure from probabilistic environments. This study examined how such variability relates to neural responses in the ventral striatum (vStr), caudate nucleus, hippocampus, and medial prefrontal cortex (mPFC). Seventy-four participants across childhood, adolescence, and adulthood completed a modified Iowa Gambling Task during fMRI scanning, choosing whether to play or pass on four machines differing in expected value and variance. Behavioral learning slopes, calculated across six runs for each machine, were used to classify participants as learners or non-learners. Learners showed clearer improvement over time …