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Articles 64681 - 64710 of 64949
Full-Text Articles in Entire DC Network
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 …
Analytical And Semi-Analytical Modeling Of Solar Cells Using The Lambert W Function: A Comprehensive Review Of Equivalent Circuits, Adel El-Shahat, Martin Ćalasan, Snežana Vujoševic, Shady H. E. Abdel Aleem
Analytical And Semi-Analytical Modeling Of Solar Cells Using The Lambert W Function: A Comprehensive Review Of Equivalent Circuits, Adel El-Shahat, Martin Ćalasan, Snežana Vujoševic, Shady H. E. Abdel Aleem
Engineering Technology Faculty Publications
The modeling of photovoltaic (PV) cells through equivalent circuits forms a central element in the analysis, simulation, and optimization of solar energy systems. Traditional approaches often depend on iterative numerical methods to solve the implicit current–voltage (I–V) equations. In contrast, the Lambert W function has emerged as an effective mathematical tool that enables closed-form or semi-analytical expressions for a wide range of PV models. This paper presents a Lambert W-centered review of analytical and semi-analytical formulations for PV equivalent-circuit models, covering classical single-diode and multi-diode structures and modern variants incorporating additional elements, voltage-dependent parameters, and topology rearrangements. The models are …
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 …
Using A Study Journal To Support Class Engagement And The Development Of Entrepreneurial Mindset Habits, Otilia Popescu, Dimitrie C. Popescu
Using A Study Journal To Support Class Engagement And The Development Of Entrepreneurial Mindset Habits, Otilia Popescu, Dimitrie C. Popescu
Engineering Technology Faculty Publications
Engineering Technology programs were historically introduced to support non-traditional students and offer college pathways for students working and having already a developing career. This is even more true in the current academic environment, with a large percentage of students enrolled in engineering technology programs being either fully or part-time employed, active or retired military, and at different stages in their lives, usually with families to care for. Often, non-traditional students attend classes online, either synchronously or even more often asynchronously, due to their schedule constraints. Course instructors regularly face schedule or time management constraints from the students’ side, and they …
Wip: Arduino-Based Pbl To Foster Entrepreneurial Mindset, Nathan Q. Holland, Vukica M. Jovanovic
Wip: Arduino-Based Pbl To Foster Entrepreneurial Mindset, Nathan Q. Holland, Vukica M. Jovanovic
Engineering Technology Faculty Publications
This work-in-progress paper examines a semester-long project-based learning initiative begun in an introductory engineering course during the Fall 2025 semester. The project aims to enhance students' hands-on experience by integrating information literacy, the engineering design process (EDP), and an entrepreneurial mindset (EM) [1]. The objective is to boost student confidence in teamwork, technical problem-solving, and application of skills, preparing them for future courses in their discipline. Students in this introduction to engineering course received an Arduino Uno R3 Controller board kit and additional sensors. They were tasked to develop a device addressing engineering in the medicine challenge of their choosing. …
Professional Quality Of Life Among Medical Surgical And Telemetry Registered Nurses, William Lim, Emy-Lee Marie Anglo Ricafrente, Jenny Carrillo
Professional Quality Of Life Among Medical Surgical And Telemetry Registered Nurses, William Lim, Emy-Lee Marie Anglo Ricafrente, Jenny Carrillo
Publications 2026-present
No abstract provided.
Npd Winner's Circle: Overcoming Imposter Syndrome In New Clinical Specialties, Leanna Ross
Npd Winner's Circle: Overcoming Imposter Syndrome In New Clinical Specialties, Leanna Ross
Publications 2026-present
No abstract provided.
Validity Of Asymmetrical Arbitration Clauses: Are We There Yet?, Raluca Papadima, Alexandru Kober
Validity Of Asymmetrical Arbitration Clauses: Are We There Yet?, Raluca Papadima, Alexandru Kober
Scholarly Works
No abstract provided.
Daily Religious Life Of Muslims In Kazakhstan And Central Asia During The Soviet Period: Controlled Institutions, Unofficial Islam, And Atheist Policy, Adiyet Kairken, Kuralay Aubakirova
Daily Religious Life Of Muslims In Kazakhstan And Central Asia During The Soviet Period: Controlled Institutions, Unofficial Islam, And Atheist Policy, Adiyet Kairken, Kuralay Aubakirova
Occasional Papers on Religion in Eastern Europe
The core focus of this study is the dialectic between the anti-religious policies enforced by the Soviet totalitarian regime in Central Asia and Kazakhstan and the resilience of Muslim communities in preserving their spiritual and cultural identity. This article provides a comprehensive analysis of the daily religious lives of Muslims under Soviet rule, examining the constraints placed on religious obligations and the functions of state-controlled religious institutions. The research investigates the mechanisms of the state apparatus, including atheist propaganda techniques, educational campaigns targeting the youth, and the role of official religious directorates. Furthermore, the study identifies the significance of underground …
Can Federalism Protect Subnational Liberal Democracy From Central Authoritarianism?, James A. Gardner
Can Federalism Protect Subnational Liberal Democracy From Central Authoritarianism?, James A. Gardner
Journal Articles
Liberal democracy is eroding rapidly around the globe, including in the United States, raising alarming questions about whether American democratic institutions will endure. Nevertheless, some have speculated that federalism may protect liberal democracy at the subnational level when the central government turns authoritarian. This article argues that such optimism is premature: there is no a priori basis on which to predict the effect of central democratic backsliding on the quality of subnational democracy. Federal theory does suggest that internal heterogeneity in basic political commitments is likely to produce an escalating pattern of severe and possibly intractable intergovernmental conflict. Empirical evidence …
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; …An Empirical Framework For Evaluating Semantic Preservation Using Hugging Face, Nan Jia, Anita Raja, Raffi Khatchadourian
An Empirical Framework For Evaluating Semantic Preservation Using Hugging Face, Nan Jia, Anita Raja, Raffi Khatchadourian
Publications and Research
As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate traditional software refactoring. We define semantic preservation in LESS as the property that optimizations of intelligent components do not alter the system's overall functional behavior. This paper introduces an empirical framework to evaluate semantic preservation in LESS by mining model evolution data from HuggingFace. We extract commit histories, $\textit{Model Cards}$, and performance metrics from a large number of models. To establish baselines, we conducted case studies in three …
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 …
Gendered Resistance: Women’S Strategies Against Military Dictatorships, Argentina And Chile, Maricarmen Canales-Moreno
Gendered Resistance: Women’S Strategies Against Military Dictatorships, Argentina And Chile, Maricarmen Canales-Moreno
Publications and Research
This article compares the Madres de Plaza de Mayo in Argentina and the Agrupación de Familiares de Detenidos Desaparecidos (AFDD) in Chile to examine how women transformed their identities as mothers, wives, and daughters into strategies of political resistance under military dictatorship. It argues that maternal imagery, public mourning, and the transformation of private grief into collective defiance enabled women-led human rights organizations to challenge authoritarian regimes while strategically drawing on gender roles those regimes sought to enforce. The article traces the emergence of both organizations, their occupation of public space, hunger strikes, legal action, and engagement with international human …
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 …
Embedded Tense And The Problem Of Acquisition, Sam Alxatib, Spencer Caplan
Embedded Tense And The Problem Of Acquisition, Sam Alxatib, Spencer Caplan
Publications and Research
What we hope to do is pose questions that, to our knowledge, have not received attention in the literature. The broad form of the question is all too familiar: how do speakers of a language—say, English—come to possess the grammatical knowledge that they demonstrate? The questions that guide this paper are narrow instances of this broad one, narrowed in three ways. First, they concern three particular languages: Japanese, English, and Russian. Second, they concern tenses specifically, and more specifically still, constructions containing embedded tenses. Third, they concern the semantics of tense. The learning challenge of interest to us is not …
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 …
Prevalence Of Dengue Infection In Bangladesh: A Systematic Review And Meta-Analysis, Md. Estiar Rahman, Abdullah Al-Taiar, May Salama, Michele A. Kekeh, Ahmed N. Albatineh
Prevalence Of Dengue Infection In Bangladesh: A Systematic Review And Meta-Analysis, Md. Estiar Rahman, Abdullah Al-Taiar, May Salama, Michele A. Kekeh, Ahmed N. Albatineh
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Objective:
To estimate the pooled prevalence of dengue infection in Bangladesh.
Methods:
Literature search was conducted across PubMed, Web of Science, and Hinari between December 2024 and April 2025, supplemented by references searching. The Joanna Briggs Institute checklist was used for evaluating study quality. A random effects meta-analysis of proportion, including subgroup analyses, was performed with R software (version 4.5.1).
Results:
Out of 2 087 records, 28 studies were included. The pooled prevalence of confirmed dengue infection among clinically suspected patients was 49.3% (95% Cl 36.1-62.6), with a significant high heterogeneity (I²=99.2%, τ²=1.81, P< 0.001). Stratified analysis showed a pooled prevalence of 47.9% (95% Cl 34.0-62.2, I2=99.1%, …
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, …
Teacher Perceptions Of School Leadership: Trust, Fairness, And Support As Predictors Of Student Achievement, Kevin Hub, Trevor Smith
Teacher Perceptions Of School Leadership: Trust, Fairness, And Support As Predictors Of Student Achievement, Kevin Hub, Trevor Smith
Journal of Excellence in College Teaching and Learning
This descriptive, nonexperimental quantitative study examined the relationship between staff–leadership working conditions and student achievement variables in Kentucky high schools. This research makes use of extant data from the Impact Kentucky Working Conditions Survey for the 2023-2024 school year. The researchers particularly studied the correlation between teacher perceptions of trust, fairness, and support from principals and student achievement in the Kentucky Summative Assessment (KSA). Teacher perceptions of working conditions were generally favorable, though trust and perceptions of school leadership emerged as weaker areas. Correlation analyses indicated only weak, nonsignificant associations between leadership working conditions and student achievement variables at the …
Religion Recovers Its History: The Court Puts The Establishment Clause On A New Path, Patrick M. Garry
Religion Recovers Its History: The Court Puts The Establishment Clause On A New Path, Patrick M. Garry
Missouri Law Review
For over a half-century, the First Amendment Establishment Clause jurisprudence was in disarray. Judicial decisions more often stemmed from social and cultural presumptions than from constitutional history. For years, if not decades, Supreme Court observers waited for a clarifying opinion on this troubled area of First Amendment law. In a 2022 decision upholding a football coach’s right to silently pray at mid-field after a game, the Court issued a momentous decision that not only overruled much of previous Establishment Clause jurisprudence but also suggested a new path forward. Given the Court’s desire to base future doctrines on the historical meaning …
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 …
Deepseek And The First Amendment: Assessing The Eighth Circuit And Missouri’S Legal Impact On Open-Source Ai, Alvin Hoi-Chun Hung
Deepseek And The First Amendment: Assessing The Eighth Circuit And Missouri’S Legal Impact On Open-Source Ai, Alvin Hoi-Chun Hung
Missouri Law Review
The rise of open-source generative artificial intelligence (AI) models presents new challenges for First Amendment jurisprudence. Although computer code has been recognized as protected speech, the emergent nature of AI-generated outputs complicates the boundary between human expression and machine autonomy. This Article examines the constitutional and regulatory implications of compelled disclosures and content filtering, situating the analysis within the precedent of the Eighth Circuit Court of Appeals and recent actions by the Missouri Attorney General targeting algorithmic opacity under consumer protection law. It further examines the limitations of Section 230 of the Communications Decency Act in addressing liability for autonomous …
Unlucky Chapter 13, Lawrence Ponoroff
Unlucky Chapter 13, Lawrence Ponoroff
Missouri Law Review
As a social program for individual debtors dealing with financial upheaval, Chapter 13 of the federal Bankruptcy Code is a failure and has been from its inception nearly 90 years ago. It is overly complex, internally inconsistent, and the product of congressional schizophrenia. There is no eagerness to fix it and no interest in eliminating it, which are both suggestions I have offered in the past. And so, with two strikes against me, I’ve decided to take my third and final swing. Using one of the most recent subjects of judicial disagreement over the proper application of the statute as …