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Articles 48421 - 48450 of 48613
Full-Text Articles in Entire DC Network
Religious Television Of Ukraine In Shaping Spiritual Identity In The Context Of Contemporary Media Practices, Oleh Sokolovskyi, Vadym Slyusar, Maksym Melnychuk, Yuliia Kondratiuk
Religious Television Of Ukraine In Shaping Spiritual Identity In The Context Of Contemporary Media Practices, Oleh Sokolovskyi, Vadym Slyusar, Maksym Melnychuk, Yuliia Kondratiuk
Occasional Papers on Religion in Eastern Europe
The article is devoted to analysing religious television in Ukraine as a key institution of contemporary sacred communication, which shapes a new configuration of spiritual presence within the digital media space. Religious TV channels are examined as mediatized spaces for producing and transmitting symbolic meanings, within which traditional theological narratives are adapted to the demands of audiovisual culture, and the sacred acquires new forms of visualisation, emotional accessibility, and communicative dynamism. It is demonstrated that television broadcasting provides a unique format of spiritual support, enabling faith communities to participate in prayer practices, catechetical programmes, and moral-ethical discourse beyond the boundaries …
The Phenomenon Of Ukrainian Chaplaincy From The Underground Of The 1990s To Officer Ranks In The Historical And Spiritual Experience Of Lieutenant Colonel Of Aviation And Pastor Vasyl Khimich, Valentyna Kuryliak
Occasional Papers on Religion in Eastern Europe
Vasyl Khimich is a career aviation officer, retired lieutenant colonel, and pastor who combined the discipline of a Soviet officer with the spiritual mission of developing educational standards. This interview is about how faith became a strategic resource of national security. The figure of Vasyl Khimich is exceptionally valuable for the history of Protestantism in Ukraine, as he combines the experience of a Soviet career aviation officer, a pastor, and a developer of the first standards of military chaplaincy in Ukraine. His path demonstrates the complex evolution of the Ukrainian military-Christian movement from underground meetings to official recognition at the …
Use Of Courts By The Totalitarian Regime Against Protestant Communities In Ukraine, Oksana Vysoven, Natalia Varadi, Yurii Fihurnyi, Ganna Kriukova
Use Of Courts By The Totalitarian Regime Against Protestant Communities In Ukraine, Oksana Vysoven, Natalia Varadi, Yurii Fihurnyi, Ganna Kriukova
Occasional Papers on Religion in Eastern Europe
This article analyzes the use of the courts by the totalitarian regime against Protestant communities in Ukraine. It has been established that the show trials held in the 1960s–1980s against the leaders and active members of the Council of Churches of Evangelical Christian Baptists, which opposed the totalitarian regime, and against ordinary believers in Protestant communities were conducted according to the plan of atheistic campaigns by officials of the communist regime and were organized by the repressive special services of the State Security Committee and the Ministry of Internal Affairs. It has been established that the trials led to the …
The Theological Tradition Of The Orthodox Church In The Aspect Of The Formation Of Military Leadership In Ukraine, Olga Dobrodum, Andrii S. Zborchyi, Tetyana Kondratyuk-Antonova, Oleksandr L. Kolomiiets
The Theological Tradition Of The Orthodox Church In The Aspect Of The Formation Of Military Leadership In Ukraine, Olga Dobrodum, Andrii S. Zborchyi, Tetyana Kondratyuk-Antonova, Oleksandr L. Kolomiiets
Occasional Papers on Religion in Eastern Europe
Analysis of the Orthodox theological tradition as a moral foundation for military leadership in the Armed Forces of Ukraine during the full-scale war. The study moves beyond pragmatic managerial models, exploring Orthodox categories such as service (diakonia), sacrifice, and spiritual warfare. Drawing on patristic heritage and modern theologians, the authors examine leadership motivation, the role of faith in professional resilience, and the integration of Orthodox anthropology into military training. Special emphasis is placed on the Orthodox Church of Ukraine's chaplaincy as a key mechanism for actualizing these values while addressing challenges like secularism and multiconfessionalism.
The Romanian Orthodox Church And Ukrainian Refugees: Humanitarian Response And Ecclesial Solidarity, Damian Buchiu
The Romanian Orthodox Church And Ukrainian Refugees: Humanitarian Response And Ecclesial Solidarity, Damian Buchiu
Occasional Papers on Religion in Eastern Europe
Following the invasion of Ukraine in February 2022, the Romanian Orthodox Church’s public response to Ukrainian displacement combined emergency assistance with forms of solidarity that became increasingly connected to ecclesial life. A purposive corpus of twenty-four English-language items published by the Basilica News Agency, the official news agency of the Romanian Patriarchate, between February 2022 and December 2025 forms the principal source base. These materials record humanitarian and pastoral activity while also showing how the Church publicly interpreted its response. The early response relied heavily on structures already present in dioceses and local communities, which could be redirected quickly toward …
Religious Situation In Ukraine: Main Trends And Prognostic Visions, Olena Predko, Denys Predko, Ihor Maksymenko
Religious Situation In Ukraine: Main Trends And Prognostic Visions, Olena Predko, Denys Predko, Ihor Maksymenko
Occasional Papers on Religion in Eastern Europe
The contemporary religious situation in Ukraine is characterized by the resilience of religious institutions despite the full-scale war and destruction of infrastructure, which demonstrates a high level of nominal religiosity and the social significance of religion. At the same time, a profound structural transformation of the Orthodox field is underway, reflecting processes of national identification, security, and the delegitimization of pro-Russian structures. In parallel, there is a shift in religiosity from a mobilizational to a reflective, individualized form, in which faith performs psychological, meaning-making, and symbolic functions rather than mere institutional affiliation. At the same time, the post-war period retains …
2026-2027 Graduate Catalog, Morehead State University. Registrar's Office.
2026-2027 Graduate Catalog, Morehead State University. Registrar's Office.
Morehead State Catalog Archive
2026-2027 graduate catalog for Morehead State University.
2026-2027 Undergraduate Catalog, Morehead State University. Registrar's Office.
2026-2027 Undergraduate Catalog, Morehead State University. Registrar's Office.
Morehead State Catalog Archive
2026-2027 undergraduate catalog for Morehead State University.
Srgan-Based Deep Learning Framework For Wind Turbine Damage Detection From Sentinel-2 Imagery, Kübra Çakir, Onur Elma, Murat Kuzlu
Srgan-Based Deep Learning Framework For Wind Turbine Damage Detection From Sentinel-2 Imagery, Kübra Çakir, Onur Elma, Murat Kuzlu
Engineering Technology Faculty Publications
The operational reliability of wind turbines is critical for sustainable energy production in smart grids. This study proposes a remote monitoring approach using perceptually enhanced satellite imagery. Sentinel-2 multispectral data (10 m resolution) has been processed with a Super-Resolution Generative Adversarial Network (SRGAN) to improve visual quality to a perceptual resolution of 30 cm. Although true spatial refinement is not achieved, the sharper structural details enhance classification accuracy. The data set comprises 15,000 images—10,000 SRGAN-enhanced and 5000 augmented through rotation, zoom in, increasing brightness, noise addition, and blurring. A custom Convolutional Neural Network (CNN) has been trained to classify turbines …
Interpretable Machine Learning For Bridge-Pier Scour Prediction And Flood Resilience, Adil Khan, Dalya Ismael
Interpretable Machine Learning For Bridge-Pier Scour Prediction And Flood Resilience, Adil Khan, Dalya Ismael
Engineering Technology Faculty Publications
Bridge-pier scour is a leading cause of flood-induced bridge failure, yet practice still lacks transparent, physics-informed tools that link data-driven prediction with design guidance. This study develops an interpretable, physics-aware machine-learning framework to predict equilibrium scour depth and translate those predictions into actionable strategies for flood-resilient infrastructure. Using the 2014 U.S. Geological Survey Pier-Scour Database (569 laboratory cases), five models: Gradient Boosting, AdaBoost (Tree), XGBoost, Gaussian Process (RBF kernel), and Kernel Ridge (polynomial), were trained and evaluated with K-fold cross-validation. Model performance was evaluated using R², RMSE, and MAE. Gradient Boosting performed best, achieving training and testing R² of 0.99 …
Generative Ai And Llm Applications In Renewable Energy And Smart Grids: A Systematic Review For The Sustainable Energy Transition, Umit Cali, Ugur Halden, Merlinda Andoni, Ferhat Ozgur Catak, Si Chen, Benoit Couraud, Emre Kantar, Samuel Knapper, Ibrahim Kucukdemiral, Huseyin Kusetogullari, Murat Kuzlu, Yashar Mousavi, Sonam Norbu, Taha Selim Ustun, David Flynn
Generative Ai And Llm Applications In Renewable Energy And Smart Grids: A Systematic Review For The Sustainable Energy Transition, Umit Cali, Ugur Halden, Merlinda Andoni, Ferhat Ozgur Catak, Si Chen, Benoit Couraud, Emre Kantar, Samuel Knapper, Ibrahim Kucukdemiral, Huseyin Kusetogullari, Murat Kuzlu, Yashar Mousavi, Sonam Norbu, Taha Selim Ustun, David Flynn
Engineering Technology Faculty Publications
The global energy transition toward decarbonization and digitalization requires advanced methods to manage decentralized, data-intensive cyber-physical energy systems. This systematic review analyzes 106 research studies on Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) in renewable energy and smart grids, organized into seven application clusters covering forecasting, system design, operation, reliability, data and cybersecurity, and energy markets. The review situates these applications within a Cyber-Physical-Social Systems (CPSS) framework. Results show that GANs dominate current applications (47.2%), followed by LLMs (10.4%) and VAEs (9.4%), with growing adoption of diffusion and score-based models (7.5% each). Selected studies report improved probabilistic forecasting …
A Large Language Model-Based Academic Advising Assistant For Engineering Technology Students, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Otilia Popescu, Adel El-Shahat, Ryan Cotton, Kayla Marie Seegers, William Austin Henderson
A Large Language Model-Based Academic Advising Assistant For Engineering Technology Students, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Otilia Popescu, Adel El-Shahat, Ryan Cotton, Kayla Marie Seegers, William Austin Henderson
Engineering Technology Faculty Publications
In recent years, Artificial Intelligence (AI)-based solutions, particularly Large Language Models (LLMs), have been applied to a variety of domains, such as energy, finance, transportation, healthcare, and education. Among these domains, education has become increasingly popular due to strong interest among educators and students. This study proposes an academic advising assistant system that uses LLMs to help Engineering Technology (ET) students plan their course load based on their educational history, departmental course offerings, and personal constraints, such as their preferred semester course load. The proposed LLM-based academic advising assistant system maintains a database of students' course histories and upcoming course …
Artificial Intelligence (Ai) In Educating Next Generation Of Engineering Technology Students, Adel El-Shahat, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Abdullah Al Mamun, Otilia Popescu
Artificial Intelligence (Ai) In Educating Next Generation Of Engineering Technology Students, Adel El-Shahat, Murat Kuzlu, Vukica M. Jovanovic, Katherine Smith, Abdullah Al Mamun, Otilia Popescu
Engineering Technology Faculty Publications
Artificial Intelligence (AI) is transforming education, particularly for electrical engineering technology (EET) students, by presenting adaptive learning, immediate responses, and unconventional tools. Therefore, this paper proposes investigating modern learning to employ AI in educating future electrical engineering technology students. Firstly, the paper explores how to shape AI knowledge for EET students, supplying them with hands-on skills in AI tasks, clarifying coding, data analysis, and AI ethical usage. Then, as educators, what are the efficient AI tools to utilize in teaching, such as tailored tutoring, automated code assessment, AI-driven design/simulation, lecture dictation, and smart content creation? Key tools, for instance, Google …
Deep Learning-Based High-Resolution Spectrogram Reconstruction For Robust Bearing Fault Diagnosis, Sabyasachi Biswas, Saifur Rahman Tushar, Md Ebtidaul Karim, Abdullah Alam Mamun, Mahathir Mohammad Bappy
Deep Learning-Based High-Resolution Spectrogram Reconstruction For Robust Bearing Fault Diagnosis, Sabyasachi Biswas, Saifur Rahman Tushar, Md Ebtidaul Karim, Abdullah Alam Mamun, Mahathir Mohammad Bappy
Engineering Technology Faculty Publications
Accurate and reliable bearing fault diagnosis is critical for the safe and efficient operation of rotating machinery. Conventional time–frequency (TF) analysis techniques, such as the short-time Fourier transform (STFT), are limited by their fixed window sizes and the inherent trade-off between time and frequency resolution, often leading to suboptimal fault representation under varying operating conditions. To address these challenges, this paper proposes a deep learning-based framework that reconstructs high-resolution, noise-robust TF representations directly from raw vibration signals. The proposed model integrates a denoising encoder with a learnable TF transformation network to adaptively capture fault related frequency patterns without manual parameter …
Decreasing Risk Factors For Post-Intensive Care Syndrome Using Nurse-Led Rounds And A Novel Icu Liberation Bundle, Jennifer Kepler, Kenneth Moller
Decreasing Risk Factors For Post-Intensive Care Syndrome Using Nurse-Led Rounds And A Novel Icu Liberation Bundle, Jennifer Kepler, Kenneth Moller
Publications 2026-present
Background: Critically ill patients are more likely to survive today than at any other time in history. As more patients recover from critical illnesses, however, many experience health impairments known as post-intensive care syndrome. The Society of Critical Care Medicine developed the ICU Liberation Bundle to decrease the risk of post-intensive care syndrome.
Problem: An audit of 100 patient charts identified complete ICU Liberation Bundle documentation in only 20% of eligible patient days, highlighting the need for increased consistency in bundle implementation. Since the ICU Liberation Bundle addresses modifiable post-intensive care syndrome risk factors, lack of consistency implementing bundle interventions …
Mirror, Mirror On My Screen, Can You Feel Like A Human Being?, Lauren A. Newell
Mirror, Mirror On My Screen, Can You Feel Like A Human Being?, Lauren A. Newell
Scholarly Works
No abstract provided.
Immigration Adjudication, Judicial Review, And The Uneven Incorporation Of Administrative Law Norms, John Harland Giammatteo
Immigration Adjudication, Judicial Review, And The Uneven Incorporation Of Administrative Law Norms, John Harland Giammatteo
Journal Articles
This article examines the interaction between immigration law and administrative law. Scholars and courts regularly treat immigration as outside of, or exceptional to, the normal operation of administrative law and its norms of judicial review. Yet in the past decade, the Roberts Court has radically reshaped administrative law. This broader administrative law project has largely emphasized the primacy of the federal courts and judicial review, enlarging the putative rights of regulated parties, at the cost of agency power. Within that project, immigration adjudication is a frequent conversation partner. Immigration adjudication is used to undermine the administrative state’s claim to policymaking …
Limits Of Machine Learning For Predicting Stillbirth At Term: A Population-Based Cohort Of 302,192 Pregnancies In Northern Italy, M. Benuzzi, T. Kawakita, F. Monari, B. Melis, G. Guariglia, A. La Marca, I. Neri, G. Saade, F. Facchinetti, I. El Moudden
Limits Of Machine Learning For Predicting Stillbirth At Term: A Population-Based Cohort Of 302,192 Pregnancies In Northern Italy, M. Benuzzi, T. Kawakita, F. Monari, B. Melis, G. Guariglia, A. La Marca, I. Neri, G. Saade, F. Facchinetti, I. El Moudden
Department of Obstetrics & Gynecology Faculty Publications
Background
Stillbirth at term is a major public-health concern. In high-income settings, the most commonly identifiable causes are unrecognised fetal growth restriction (about 14%) and placental abruption (about 12%), but 20 to 40% of term stillbirths remain unexplained. Whether modern machine learning can substantively improve prediction over established clinical risk-factor models is unresolved.Objective
To evaluate the predictive performance of three machine-learning models, elastic-net logistic regression, random forest, and extreme gradient boosting, for stillbirth at term in a population-based cohort, and to quantify the achievable ceiling using static registry variables.Study Design
Secondary analysis of 302,192 term pregnancies (322 stillbirths; …Color-Blind Resilience: How Uniform Climate Standards Reproduce Environmental Inequality In The Rockaways, Aaryan M. Nair
Color-Blind Resilience: How Uniform Climate Standards Reproduce Environmental Inequality In The Rockaways, Aaryan M. Nair
Publications and Research
This paper examines how ostensibly uniform climate resilience standards can reproduce environmental inequality in socially uneven landscapes, using the Rockaway Peninsula in New York City as a critical case study. While flood-resistant building codes, zoning regulations, and insurance frameworks are designed to provide equal protection across flood-prone areas, this analysis argues that their “color-blind” application obscures and intensifies underlying disparities in financial capacity, housing conditions, and tenure. Drawing on environmental justice (EJ) theory, the paper identifies two key mechanisms through which inequality is reproduced. First, “code without capacity” demonstrates how uniform technical standards—such as elevation requirements under NYC Building Code …
All Games Have Equilibria, M. Ali Khan, Arthur Paul Pedersen, Maxwell B. Stinchcombe
All Games Have Equilibria, M. Ali Khan, Arthur Paul Pedersen, Maxwell B. Stinchcombe
Publications and Research
Research on Nash equilibrium existence for infinite games has grown into a patchwork of technical preconditions and counterexamples. This paper presents a unified program in equilibrium theory by revising the predominant model of mixed strategies based on countable additivity. A game is specified by a nonempty set of players and, for each player, a nonempty action set and a bounded von Neumann-Morgenstern utility function. Every such game is shown to admit a Nash equilibrium in finitely additive mixed strategies. In addition, the equilibrium correspondence for any such game is shown to be nonempty, compact-valued, and upper hemicontinuous, and the same …
Prepregnancy Overweight And Obesity In Kuwait Birth Cohort Study, Abdullah Al-Taiar, Ali H. Ziyab, Eelaf A. Husain, Maryam M.Y. Mohammad, Maryem A. Shamsah, Noor Salah Alali, Reem Sharaf-Alddin, Majeda S. Hammoud
Prepregnancy Overweight And Obesity In Kuwait Birth Cohort Study, Abdullah Al-Taiar, Ali H. Ziyab, Eelaf A. Husain, Maryam M.Y. Mohammad, Maryem A. Shamsah, Noor Salah Alali, Reem Sharaf-Alddin, Majeda S. Hammoud
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Objectives: This study aimed to estimate the prevalence of prepregnancy obesity and overweight, and to identify a set of sociodemographic factors that could guide weight management interventions for women prior to conception.
Design, Sample, and Measurements: Pregnant women (N = 989) were recruited in the Kuwait Birth Cohort Study during the period June 2017 to February 2020. Prepregnancy weight and height were self-reported, while current weight and height were measured in a standardized procedure. Data on sociodemographic factors were collected through face-to-face interviews conducted by a trained data collector. Multinomial logistic regression was used to investigate the association between sociodemographic …
The Impact Of Substance Abuse Problems And Serious Mental Illness/Serious Emotional Distress On Post-Discharge Residential Status Among Clients With Behavioral And Cognitive Disorders: Evidence From Samhsa Mh-Cld Data, Eden Moges, Norma Rochez, William Peycha, Aditya Chakraborty
The Impact Of Substance Abuse Problems And Serious Mental Illness/Serious Emotional Distress On Post-Discharge Residential Status Among Clients With Behavioral And Cognitive Disorders: Evidence From Samhsa Mh-Cld Data, Eden Moges, Norma Rochez, William Peycha, Aditya Chakraborty
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
BACKGROUND: Behavioral and cognitive disorders can undermine housing stability, a key determinant of mental health recovery, with persistent disparities across demographic and socioeconomic groups. This study examined the associations of substance abuse problems (SAP) and serious mental illness/serious emotional distress (SMISED) with residential status at discharge from mental health facilities.
METHODS: This cross-sectional study used the utilized data from the Substance Abuse and Mental Health Services Administration (SAMHSA). Descriptive statistics were used to summarize demographic characteristics, whereas univariate and multivariable logistic regression models were employed to assess associations between the covariates and the residential outcome, adjusting for a variety of …
Paneugenesis: A Regenerative Systems Hypothesis For Advancing Health Promotion, Craig M. Becker, Leslie Hoglund, Beth Chaney, Joseph G. L. Lee, Michael Stellefson, Alex Davis
Paneugenesis: A Regenerative Systems Hypothesis For Advancing Health Promotion, Craig M. Becker, Leslie Hoglund, Beth Chaney, Joseph G. L. Lee, Michael Stellefson, Alex Davis
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Despite major advances in health promotion science, dominant approaches remain largely prevention-and risk-reduction-oriented. The prevailing orientation creates a substantial opportunity to advance generative, system-design strategies that intentionally produce well-being rather than merely prevent disease. This article proposes paneugenesis as a regenerative systems framework and a testable theoretical model for the intentional creation of net-positive outcomes, thereby extending health promotion beyond its traditional pathogenic emphasis. Paneugenesis integrates systems science, salutogenesis, behavioral science, complexity theory, and quality management principles into a unified four-function process: operationalizing idealized outcomes, identifying key precursors, optimizing processes, and continually plotting progress through feedback mechanisms. The central hypothesis …
The Moderating Role Of Social And Emotional Support In The Association Between Adverse Childhood Experiences And Adult Mental Health Across Racial Groups: The Need For Investing In Social Capital, Syeda S. Jesmin, Aditya Chakraborty
The Moderating Role Of Social And Emotional Support In The Association Between Adverse Childhood Experiences And Adult Mental Health Across Racial Groups: The Need For Investing In Social Capital, Syeda S. Jesmin, Aditya Chakraborty
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Background
The sustained impact of Adverse Childhood Experiences (ACE) on mental health outcomes in adulthood is well documented in the literature. ACE survivors may be especially vulnerable to poor mental health outcomes if they have limited or no social support. This study examined the moderating role of social support on the association of ACEs and mental health across different racial groups.
Methods
Data were obtained from the 2022 Behavioral Risk Factor Surveillance System (n = 14,327). The nine ACE questions about traumatic events in childhood were used to create ACE scores. Chi-square tests were used for bivariate comparisons. Both stratified …
Modeling Healthcare Data With Logistic Quantile And Uniform-Based Mixture Polynomial Distributions, Mohan D. Pant, Aditya Chakraborty, Jovanna A. Tracz
Modeling Healthcare Data With Logistic Quantile And Uniform-Based Mixture Polynomial Distributions, Mohan D. Pant, Aditya Chakraborty, Jovanna A. Tracz
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Continuous healthcare data often deviate from normality, which can substantially increase the risk of making invalid inferences, given that many inferential statistical procedures rely on normality assumption. To obviate this issue, we propose a new family of non-normal distributions based on a linear combination of the quantile functions of standard logistic and uniform (0, 1) distributions. This new family of non-normal distributions is studied within three different methods: L-moments, conventional moments, and percentiles. Its performance is compared among the three methods in the context of parameter estimation and data modeling. The results of Monte Carlo simulation and bootstrapping techniques indicate …
Understanding Cancer Information Burden And Quality Concerns: The Roles Of Medical Statistics Literacy, Online Health Information Confidence, And Social Media, Aditya Chakraborty, Sikta Das, Amy Myat Phyo
Understanding Cancer Information Burden And Quality Concerns: The Roles Of Medical Statistics Literacy, Online Health Information Confidence, And Social Media, Aditya Chakraborty, Sikta Das, Amy Myat Phyo
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Understanding factors shaping perceptions of cancer-related information is important for public health communication. This study examined associations of three information-related predictors, understanding medical statistics, confidence in online health information, and difficulty interpreting social media information, with two outcomes: cancer information was too hard to understand (CTU) and concern about cancer information quality (CCQ). Data came from the 2022 Health Information National Trends Survey. The cross-sectional study included 1972 participants. Survey-weighted univariable and multivariable logistic regression models assessed associations between the three predictors and CTU and CCQ, adjusting for sociodemographic characteristics, health insurance, and cancer history. LASSO logistic regression, random forest, …
Build, Baby, Build: Federal Takings For Affordable Homes, Desiree C. Hensley
Build, Baby, Build: Federal Takings For Affordable Homes, Desiree C. Hensley
Missouri Law Review
The private housing market in the U.S. fails to produce sufficient affordable housing for the people who need it. Even middle-income Americans are stretched to buy or rent. If local and state governments cannot respond effectively, may the federal government simply use eminent domain to build affordable homes to correct the nation’s housing market, including the high cost of land? Conventional wisdom is that the Constitution prohibits such federal action. This understanding arises from a brief period during which the federal government built fifty housing projects—approximately 21,000 housing units—in thirty-five cities across the United States during the Great Depression. The …
Students Shouting Louder Than School Bells: An Analysis Exposing Anti-Youth Rationales In Federal Courts, Edward D. Scott Jr., Christopher L. Mathis
Students Shouting Louder Than School Bells: An Analysis Exposing Anti-Youth Rationales In Federal Courts, Edward D. Scott Jr., Christopher L. Mathis
Missouri Law Review
In a paradigm-shifting departure from conventional First Amendment analysis, this study is the first empirical examination of First Amendment rights, spanning every level of the federal judiciary, for students in public schools. Departing from conventional narratives, our scholarship examines how the federal court adjudicates the nuances surrounding the First Amendment within public K-12 educational institutions.
No Thanks, Just Looking: A Post-Transunion Analysis Of Session-Replay Surveillance And Historical Privacy Harms, Maggie N. Munsterman
No Thanks, Just Looking: A Post-Transunion Analysis Of Session-Replay Surveillance And Historical Privacy Harms, Maggie N. Munsterman
Missouri Law Review
The constitutional doctrine of standing serves as a gateway to the federal courthouse, filtering out claims that lack a personal, concrete stake in the outcome. In privacy litigation, the alleged injuries may feel deeply personal but are often intangible and statutory. Amidst this tension, the injury-in-fact requirement of Article III has proven particularly thorny. The Supreme Court’s decisions in Spokeo, Inc. v. Robins and TransUnion LLC v. Ramirez set forth a framework requiring a “concrete” injury that bears a “close relationship” to harms traditionally recognized in American law. Yet, lower courts’ interpretation of this mandate varies considerably, especially in the …
The Crimmigrators, Juliet P. Stumpf
The Crimmigrators, Juliet P. Stumpf
University of Colorado Law Review
No abstract provided.