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Articles 6901 - 6930 of 1326677
Full-Text Articles in Entire DC Network
From Principal To Behavioral Health Ceo: Lessons Schools Must Learn About Student Mental Health, Anthony S. Felder
From Principal To Behavioral Health Ceo: Lessons Schools Must Learn About Student Mental Health, Anthony S. Felder
Essays in Education
Schools across the United States are increasingly functioning as front-line mental health systems, often without adequate preparation, staffing, or clinical training. This essay draws on the author's lived experience as a former school principal, doctoral scholar in educational leadership, licensed clinical social worker, and current behavioral health chief executive officer to examine the intersection of K-12 education and youth mental health. Grounded in trauma-informed care, restorative practice, and family-centered systems of support, the essay presents five evidence-based lessons that school leaders must consider to meet students' evolving social-emotional needs. These lessons address the limitations of punitive discipline, the urgent need …
Note On The Financing Of Housing Credit, M.L. Ben Otmane
Note On The Financing Of Housing Credit, M.L. Ben Otmane
Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)
The causes of the housing crisis are numerous and interconnected: inadequate supply relative to demand, production system imbalances, growing urban populations, structural economic organization factors, and the shift from housing as use-value to housing as exhaustive commodity. Urban centers already concentrate nearly 45% of the population with a growth rate of 4.4%, while rural areas register only 0.1% (corrected from text: 4.1% likely a typo; logic suggests lower). Housing in Morocco is extremely expensive. Vertiginous increases in land costs for both individual and collective housing combine with unjustified rises in construction material prices. These increases are automatically passed on to …
Hypothesis: Ai Changes Everything—Findings From The Elite Lab, Shara W. Gonzalez
Hypothesis: Ai Changes Everything—Findings From The Elite Lab, Shara W. Gonzalez
Teaching & Learning with AI
This presentation outlines an experimental, faculty-centered approach to integrating AI into teaching and learning at Miami Herbert Business School. Grounded in a strategic goal to deliver personalized, technology-enhanced education by 2029, it presents a framework built on lowering barriers to faculty adoption through targeted entry points, hands-on workshops, pilot programs, and iterative experimentation. The work emphasizes supporting instructors across varying levels of readiness, using data collection (e.g., faculty engagement and survey feedback) to inform continuous improvement. Findings suggest that structured support and experimentation can increase AI integration in course design and better prepare students for AI-influenced professional environments.
Semantic Directing: A Human-Ai Workflow For Interative Virtual Cinematography, Lejie Liu
Semantic Directing: A Human-Ai Workflow For Interative Virtual Cinematography, Lejie Liu
Dartmouth College Master’s Theses
This thesis presents AI Director, a Unity-based prototype for semantic directing in virtual cinematography. The system enables creators to describe cinematic intent in natural language, receive editable shot-strategy plans generated by a large language model, and refine specific shots through text and visual references. By separating semantic planning from deterministic camera execution, the workflow keeps user authorship centered on shot intent while making the resulting camera plans inspectable, editable, and executable in real time. This work explores semantic directing as a human-AI workflow for iterative cinematic authoring in dynamic 3D scenes.
A Novel, Embedding-Based Approach To Longitudinal Survey Data Imputation, Julia Rezvani
A Novel, Embedding-Based Approach To Longitudinal Survey Data Imputation, Julia Rezvani
University Honors Theses
Longitudinal surveys are ubiquitous in the social sciences as a means of tracking changes in behavior and opinions with time and identifying potential causal mechanisms. These surveys are frequently plagued by missing data and semantic drift, both of which limit their effectiveness and scientific utility. Imputation algorithms allow researchers to fill gaps in collected survey datasets, imperfectly reconstructing lost data. Although deep learning algorithms have been used in imputation to great success, approaches which simultaneously leverage the semantic and temporal structure of longitudinal surveys have not yet been developed. We propose a novel imputation architecture which is capable of leveraging …
Sediment: A Magical Realist Road Novel, Nicolas Victor Rago
Sediment: A Magical Realist Road Novel, Nicolas Victor Rago
Dartmouth College Master’s Theses
This magical realist novel follows G and Louie, two strangers, as they road trip west to east across the continental United States. As they travel, they drift through time, exploring historical and personal pasts through surreal atmospheric prose.
The Dynamics Of Beta Mean Reversion, Dimitry Afanasenko
The Dynamics Of Beta Mean Reversion, Dimitry Afanasenko
Finance: Undergraduate Distinction Theses
This thesis examines whether firm-specific characteristics help explain cross-sectional variation in the speed of beta mean reversion among large-cap U.S. equities. Using WRDS market-model betas based on trailing weekly returns, the study constructs non-overlapping annual June beta observations for a stable sample of 190 firms that remained continuous constituents of the S&P 500 from 2000 through 2024. The analysis proceeds in three stages. First, pooled and fixed-effects panel regressions test whether beta mean reversion exists in the sample overall. Second, a firm-specific persistence parameter, gamma, is estimated from rolling ten-year windows of annual betas in order to measure differences in …
Bias, Structure, And Inference In Applied Network Analysis, Anna Vasenina
Bias, Structure, And Inference In Applied Network Analysis, Anna Vasenina
Dartmouth College Ph.D Dissertations
This dissertation develops mathematical and statistical methods for extracting reliable information from network data across biological applications, with an emphasis on understanding what observed network structure can and cannot resolve. The first study leverages protein–protein interaction network topology in the c-di-GMP signaling system of Pseudomonas fluorescens, showing that node centrality measures accurately classify protein domain types and that physical interaction structure contributes statistically significant predictive power for biofilm formation phenotypes across nearly 200 environments, while gene expression does not. The second study examines sampling bias in lemur-plant trophic interaction networks in Madagascar, demonstrating that differential detection of diurnal versus …
Fluorescence Cryotomography For Preclinical Validation: Applications In Gene Therapy And Fluorescence-Guided Surgery, Caleb Y. J. Kwon
Fluorescence Cryotomography For Preclinical Validation: Applications In Gene Therapy And Fluorescence-Guided Surgery, Caleb Y. J. Kwon
Dartmouth College Ph.D Dissertations
Fluorescence imaging has become a powerful tool in biomedical research and clinical practice, offering molecular specificity and high sensitivity for visualizing biological processes in real time, However, the successful translation of novel fluorescent probes or medicines from preclinical development to clinical applications requires rigorous validation of their biodistribution and target specificity. Traditional methods for assessing performance, such as bulk excised organ analysis or two-dimensional histology, provide limited information as they cannot capture the complete, organism-wide distribution of these probes or medicines. This thesis aims to improve this analysis pipeline through the application and optimization of fluorescence cryotomography for quantitative, high-resolution …
Fluvial-Tidal Controls On Dune Morphology And The Effects Of Nature-Based Morphology In Mitigating Storm Impacts, Abiola A. Adebiyi
Fluvial-Tidal Controls On Dune Morphology And The Effects Of Nature-Based Morphology In Mitigating Storm Impacts, Abiola A. Adebiyi
Electronic Theses and Dissertations 2020 - Present
Nature-based morphological features in coastal areas, such as dunes, coral reefs, and seagrass, play dual roles as both receivers of threats from increasing human activity and climate change and defenders that mitigate potential impacts. Therefore, it is imperative to improve our understanding of how these features may affect hydrodynamic processes under various conditions. To address this need, the objectives of this research are two-fold: 1) to enhance our knowledge of changes of bedform morphology in response to different fluvial-tidal controls in the Lower Columbia River (LCR), and 2) to investigate how natural-based features may mitigate tropical storm impacts using a …
Adrenal Crisis In Aps-1 During Acute Pancreatitis: A Sepsis Mimic, Nathan Fletcher, Nora O'Byrne, Ruchita Patel
Adrenal Crisis In Aps-1 During Acute Pancreatitis: A Sepsis Mimic, Nathan Fletcher, Nora O'Byrne, Ruchita Patel
Advocate GME
Case: A 27-year-old man with known APS-1 manifested by primary adrenal insufficiency and hypoparathyroidism, with concomitant type 1 diabetes mellitus and autoimmune hypothyroidism, presented after one day of emesis and was minimally responsive on arrival. He was febrile to 39.3°C, tachycardic, hypoxemic, and profoundly hypotensive, requiring intubation, norepinephrine, and vasopressin. Initial studies showed sodium 129 mmol/L (135-145), pH 7.10 (7.35-7.45), bicarbonate 13 mmol/L (22-29), anion gap 29 (7-17), lactate 15.9 mmol/L (0.5-2.0), glucose 197 mg/dL (70-99), beta-hydroxybutyrate 4.1 mmol/L ( < 0.4), and lipase 4487 U/L (13-60). CT abdomen/pelvis showed acute interstitial pancreatitis without biliary obstruction or walled-off collection. Empiric broad-spectrum antimicrobials were started, but blood, urine, and cerebrospinal fluid cultures remained negative. He was treated with stress-dose hydrocortisone (100 mg intravenously then 50 mg every 6 hours), aggressive intravenous fluids, vasopressors, and an insulin infusion for glycemic control during steroid therapy. Point-of-care glucose later peaked at 447 mg/dL after treatment initiation. Endocrinology was consulted and favored adrenal crisis precipitated by acute pancreatitis. Given recent alcohol intake and markedly elevated phosphatidylethanol (PEth) 16:0/18:1 of 1894 ng/mL during hospitalization, endocrinology and gastroenterology favored alcohol-associated pancreatitis. Ketoacidosis was considered multifactorial rather than isolated classic diabetic ketoacidosis, with contributions from recent alcohol use, poor intake, severe lactic acidosis, stress, and glucocorticoid exposure. Vasopressors were discontinued by hospital day 4, he was extubated on day 5, and he was discharged on hydrocortisone, fludrocortisone, insulin, levothyroxine, and calcitriol. Clinical Lessons: In patients with APS-1, acute pancreatitis may precipitate adrenal crisis and present as a sepsis mimic. Appropriate level of care is essential when multiple endocrine emergencies coexist, allowing timely vasopressor support, stress-dose glucocorticoids, and insulin infusion to control steroid-associated hyperglycemia and mitigate risk of progression to diabetic ketoacidosis. Prompt empiric stress-dose hydrocortisone is essential in known or suspected primary adrenal insufficiency while infectious evaluation is ongoing.
Mild At The Bedside, Critical In The Laboratory: Adrenal Crisis With Severe Hyperkalemia Despite Reassuring Initial Bedside And Electrocardiographic Findings, Nathan Fletcher, Mitali Roy
Mild At The Bedside, Critical In The Laboratory: Adrenal Crisis With Severe Hyperkalemia Despite Reassuring Initial Bedside And Electrocardiographic Findings, Nathan Fletcher, Mitali Roy
Advocate GME
Background: Adrenal crisis is a time-sensitive endocrine emergency in which the severity of illness may be underrecognized early in the course. When bedside assessment underestimates biochemical severity, diagnosis and treatment may be delayed. This discordance may occur even in patients with known primary adrenal insufficiency. Clinical Case: A 32-year-old woman with autoimmune polyglandular syndrome type 2 (primary adrenal insufficiency, type 1 diabetes mellitus, and autoimmune hypothyroidism), and chronic kidney disease presented with 12 to 16 hours of fatigue, dyspnea, anorexia, weakness, and impaired ambulation despite doubling her home oral hydrocortisone after recognizing symptoms similar to prior crises requiring admission. On …
Deciphering Small Sequence Differences In T Cell Receptor-Antigen Pairing, Yi Han, Yuqiu Yang, James Zhu, Farjana J Fattah, Mitchell S Von Itzstein, Minying Zhang, Casey Bermack, Peixin Jiang, Shailbala Singh, Yanhua Tian, Yifei Hu, Yafang Deng, Xiongbin Kang, Donghan M Yang, Jialiang Liu, Yaming Xue, Chaoying Liang, Indu Raman, Chengsong Zhu, Olivia Xiao, Jonathan E Dowell, Jade Homsi, Sawsan Rashdan, Ke Pan, Shengjie Yang, Mary E Gwin, David Hsiehchen, Yvonne Gloria-Mccutchen, Fangjiang Wu, John V Heymach, Don Gibbons, Junzhou Huang, Chao Cheng, Jianjun Zhang, Cassian Yee, Alexandre Reuben, David E Gerber, Tao Wang
Deciphering Small Sequence Differences In T Cell Receptor-Antigen Pairing, Yi Han, Yuqiu Yang, James Zhu, Farjana J Fattah, Mitchell S Von Itzstein, Minying Zhang, Casey Bermack, Peixin Jiang, Shailbala Singh, Yanhua Tian, Yifei Hu, Yafang Deng, Xiongbin Kang, Donghan M Yang, Jialiang Liu, Yaming Xue, Chaoying Liang, Indu Raman, Chengsong Zhu, Olivia Xiao, Jonathan E Dowell, Jade Homsi, Sawsan Rashdan, Ke Pan, Shengjie Yang, Mary E Gwin, David Hsiehchen, Yvonne Gloria-Mccutchen, Fangjiang Wu, John V Heymach, Don Gibbons, Junzhou Huang, Chao Cheng, Jianjun Zhang, Cassian Yee, Alexandre Reuben, David E Gerber, Tao Wang
Faculty, Staff and Students Publications
T cells have important functions in development and disease processes through T cell receptor (TCR)-dependent activities. Many tools were developed to predict the binding between TCRs and antigens. However, one of the uncertainties is whether such tools can decipher how small changes in the TCRs or antigenic peptides contribute to binding. We develop a deep learning model, pMTnet-omni, which not only predicts the binding vs. non-binding of TCRs towards pMHCs, but also distinguishes the stronger vs. weaker binding of TCRs similar in sequence. We leverage this capability to interpret the biological rules that govern TCR-antigen pairing. This also enables pMTnet-omni …
Rapid-Prototyping Nanofabrication: Lcd-Based Projection Lithography And Physical Vapor Deposition, Sabeel Saleem Mohammmed
Rapid-Prototyping Nanofabrication: Lcd-Based Projection Lithography And Physical Vapor Deposition, Sabeel Saleem Mohammmed
University Honors Theses
The semiconductor industry's continued growth, driven in large part by demand for artificial intelligence hardware, has highlighted the need for greater workforce development in regions adjacent to major fabrication centers like Oregon's Silicon Forest. This capstone project lays the groundwork for a small scale and student led semiconductor fabrication lab at Portland State University by demonstrating two of the core steps in chip manufacturing: photolithography and thin film deposition. Rather than relying on conventional fixed reticles, this work explores a unique, low cost approach to patterning that uses an ultraviolet-compatible liquid crystal display (LCD) as a programmable reticle, allowing arbitrary …
Constitutional Inferences On Emerging Technologies: Analyzing Government Overreach, The Fourth Amendment, And Democratic Process In The Age Of Artificial Intelligence, Alan To
McNair Research Journal SJSU
The rapid adoption of artificial intelligence (AI) and machine learning (ML)
technologies by federal agencies presents novel constitutional questions that
existing legal doctrine has not yet adequately addressed. This paper
examines the emerging constitutional dimensions of the 2026 conflict
between Anthropic and the Department of Defense (DOD), in which the
Pentagon demanded unrestricted use of Anthropic's AI model Claude for
domestic mass surveillance and autonomous weapons systems, ultimately
designating Anthropic a supply chain risk when the company refused.
Drawing on three salient constitutional frameworks, specifically the Fourth
Amendment doctrine established in Kyllo v. United States (2001) and
Carpenter v. United …
Words Can Hurt: A Review Of Racial Microaggressions And Their Effects On Cortisol Level, Edgar Perez-Lopez
Words Can Hurt: A Review Of Racial Microaggressions And Their Effects On Cortisol Level, Edgar Perez-Lopez
McNair Research Journal SJSU
The study examines the impact of racial microaggressions on cortisol levels,
highlighting inconsistent findings across various research methodologies.
Microaggressions--subtle discriminatory actions--are linked to stress and
can raise cortisol levels, a hormone released in response to stress. Some
studies suggest that frequent microaggressions blunt cortisol response,
making it less available for future stressors, while others reported increased
cortisol levels. The divergence in results may be due to differences in
research designs, such as cross-sectional, interpersonal research, or
nomothetic, versus longitudinal, intrapersonal research, or idiographic
approaches. Combined, the results of each type of research proves chronic
and acute impact of microaggressions. The …
The Art Of Martin Wong, And The Traditions He Drew From, Janie Mendosa
The Art Of Martin Wong, And The Traditions He Drew From, Janie Mendosa
IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt
Martin Wong was a singular figure in the art world, drawing from diverse influences including Pan-Asian traditions, Western modernism, social realism, and the emerging graffiti movement. As a queer artist who lived in urban New York City to San Francisco's Chinatown, he existed on the margins.
Refining A Flow Injection Analysis Method For Trace Concentrations Of Iron In Seawater, Brooke I. Stafford, Liam W. Hodgson, Noah S. Schuhmann, Elijah J. Vestal, Claire P. Till
Refining A Flow Injection Analysis Method For Trace Concentrations Of Iron In Seawater, Brooke I. Stafford, Liam W. Hodgson, Noah S. Schuhmann, Elijah J. Vestal, Claire P. Till
IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt
Iron is an essential micronutrient required for the growth of phytoplankton, the base of the oceanic food chain. Iron exists in the ocean in extremely low concentrations, limiting primary productivity in ~⅓ of the surface ocean, and can be affected by physical processes such as upwelling of water masses, and by biological and chemical processes within the water. In order to further our understanding of iron availability in the ocean, here we refine and improve our understanding of an analytical method to measure nanomolar iron in seawater. The method used is an adaptation of Lohan et al. (2006), a flow …
Understanding Parents Perceptions Concerning Division I Student-Athlete Mental Health, Jonathan M. Casper, Jason Bocarro, Marie Amidon
Understanding Parents Perceptions Concerning Division I Student-Athlete Mental Health, Jonathan M. Casper, Jason Bocarro, Marie Amidon
Journal of Issues in Intercollegiate Athletics
Collegiate student-athletes (SAs) frequently underreport mental health concerns and are less likely to seek professional support compared to their non-athlete peers. Given the substantial emotional and academic support parents provide, this study examined NCAA Division I parents’ perceptions of their student-athletes’ mental health and overall well-being, as well as their awareness and perceptions of available mental health services. An online survey (N = 178) was administered across two Division I universities. Parents reported considerable concern regarding mental exhaustion, anxiety, academic pressures, and future planning. They also identified sport-specific stressors, including relationships with coaches, playing time, team dynamics, and injuries. Although …
Neuromuscular Responses During Vigorous Intensity Heart Rate-Clamp Cycling Exercise, Clara J. Mitchinson, Pasquale J. Succi, Brian Benitez, Djadmann Gustave, Minyoung Kwak, Erik Snell, Haley C. Bergstrom
Neuromuscular Responses During Vigorous Intensity Heart Rate-Clamp Cycling Exercise, Clara J. Mitchinson, Pasquale J. Succi, Brian Benitez, Djadmann Gustave, Minyoung Kwak, Erik Snell, Haley C. Bergstrom
Journal for Sports Neuroscience
Introduction: Electromyography (EMG) and mechanomyography (MMG) provide non-invasive assessments of neuromuscular function and fatigue during dynamic exercise. This study examined neuromuscular fatigue and cycling performance through changes in power output (PO), total work (TW), EMG and MMG, amplitude (AMP) and mean power frequency (MPF) during three, heart rate (HR)-Clamp trials in the vigorous range (77-95% HRmax). Methods: Ten men (mean±SD, 25.9±5.0yr, 74.9±15.0kg, HRmax=178±12b×min-1) performed a cycle ergometer graded exercise test, followed by three separate HR-Clamp trials at 77%HRmax (HRL, time to exhaustion [TLim]=58.5±4.6 min, range=45.3-60.0min), 86%HRmax (HRM …
A Professional Development Course On Data-Driven Dynamical Systems At A Primarily Undergraduate Institution: Part A - Scientific Content, Alessandro M. Selvitella, Jeffrey R. Anderson
A Professional Development Course On Data-Driven Dynamical Systems At A Primarily Undergraduate Institution: Part A - Scientific Content, Alessandro M. Selvitella, Jeffrey R. Anderson
CODEE Journal
In the age of data-driven decision making, ordinary differential equations (ODEs) remain a powerful and interpretable framework for modeling dynamic processes, especially when integrated with modern tools from statistical learning and data-driven dynamical systems. Yet, general undergraduate and graduate curricula do not typically address key opportunities in data-driven dynamical systems.
This first paper in a series focuses on the mathematical and methodological core of a professional development course first developed in the academic year 2025-2026 at a Primarily Undergraduate Institution, Purdue University Fort Wayne. The curriculum developed in this course emphasized how regression, regularization, and sparse identification can be used …
The Waqf (Amendment) Act 2025: Policy, Politics, And Performance, Noor Ameena
The Waqf (Amendment) Act 2025: Policy, Politics, And Performance, Noor Ameena
Journal of Law and Public Policy
This legislative note examines The Waqf (Amendment) Act at the intersection of religious minority rights and state control. It begins by outlining the concept of waqfs, their significance in the Muslim world, types of waqfs, and modalities of their creation. Providing a brief history of the regulation of waqfs, it highlights the close connection of these Muslim religious endowments with the history of Hindu religious endowments. It evaluates the 2025 legal developments across three key areas: (i) family waqfs, testamentary succession, and gender, (ii) ‘government property’, waqfs, and state appropriation, and (iii) waqf regulation as a potential infringement on religious …
Standardizing Pressure Injury Prevention Documentation Through A Clinical Procedure Flowsheet, Aixa Quijano Palés
Standardizing Pressure Injury Prevention Documentation Through A Clinical Procedure Flowsheet, Aixa Quijano Palés
Walden Dissertations and Doctoral Studies
No abstract provided.
Does Customer Expectation Affect Customer Experience? - Evidence From Nigerian Hospitality Industry, Adeyemi Abdulwasiu Adebayo, Abdulazeez Alhaji Salau
Does Customer Expectation Affect Customer Experience? - Evidence From Nigerian Hospitality Industry, Adeyemi Abdulwasiu Adebayo, Abdulazeez Alhaji Salau
ASEAN Marketing Journal
Abstract
Manuscript type: Research Article
Research Aims: Examined the impact of consumer expectations on customer experience in selected hotels and hospitality businesses in Offa and Ilorin, Kwara State, Nigeria
Design/methodology/approach: The study employed a quantitative research approach; the study utilized a survey method to gather primary data through questionnaires. The sample size was determined using the Godden (2004) model, resulting in a total of 246 participants, 150 questionnaires were finally retrieved and inputted for data analysis after the shorting out of wrongly filled and deduction of unretrieved copies of the questionnaires. The study also used multistage sampling …
Staff Education To Improve Nurses’ Knowledge Of Standardized Car, Relax, Alone, Forget, Friends, Trouble (Crafft) Screening In Outpatient Psychiatric Care, Linda Edeity
Walden Dissertations and Doctoral Studies
No abstract provided.
Assessing Planetiq Gnss-Ro Ionospheric Electron Density And Tecusing Ground-Based Ionosondes And Cosmic-2, Mohammed Alheyf, Mohamed S. Yamany, Ibrahim F. Ahmed
Assessing Planetiq Gnss-Ro Ionospheric Electron Density And Tecusing Ground-Based Ionosondes And Cosmic-2, Mohammed Alheyf, Mohamed S. Yamany, Ibrahim F. Ahmed
Faculty Publications
Radio occultation (RO) has become a key technique for monitoring the ionosphere by deriving electron density (Ne) profiles and total electron content (TEC) from GNSS signals. This study assesses the newly deployed PlanetiQ GNOMES constellation by validating its ionospheric Ne profiles and profile-based TEC against collocated measurements from ionosondes and the COSMIC-2 mission under both quiet and disturbed geomagnetic conditions. Data matching for the statistical validation uses conservative spatial thresholds of less than 1◦ in latitude and longitude and temporal limits of 30 min for ionosondes and 1 hfor COSMIC-2, supported by a dedicated sensitivity analysis, whereas storm-time case studies …
Ai Hallucinations, Academic Integrity, And Learning-Centered Design, Robert K. Mott, Mary Myers
Ai Hallucinations, Academic Integrity, And Learning-Centered Design, Robert K. Mott, Mary Myers
Teaching & Learning with AI
No abstract provided.
Quadri Ademola Bankole V. Attorney General United States Of America
Quadri Ademola Bankole V. Attorney General United States Of America
2026 Decisions
Agency
Designing Equity With Ai: Scaffolding, Offloading, And Translation For Students With Learning And Attention Differences, Oksana Hagerty
Designing Equity With Ai: Scaffolding, Offloading, And Translation For Students With Learning And Attention Differences, Oksana Hagerty
Teaching & Learning with AI
This session positions AI tools as a mechanism for supporting students with learning and attention differences grounded in theories of distributed cognition. It distinguishes cognitive barriers arising from peripheral demands from those related to conceptual understanding and higher cognitive tasks. Drawing on scaffolding, cognitive offloading, and translation, the session argues for equity through intentional task design rather than individual exception. It concludes by examining the pedagogical trade-offs between AI-supported cognition and the pursuit of tool-independent mastery.
Congestion Pricing: A Comprehensive Look At International Congestion Pricing Models And Applying Them To The United States, Ian Ertel
Electronic Theses and Dissertations
Urban traffic congestion imposes large costs through wasted time, excess fuel consumption, air pollution, and lost productivity. Although congestion pricing has been recognized as the economically efficient remedy since Pigou and Vickrey, implementation has been rare. This thesis examines the conditions under which congestion pricing succeeds by analyzing three pioneering cases: London, Singapore, and New York City. Across all three, charges reduced traffic volumes and improved speeds within the priced zones. Benefits extended beyond cordon boundaries, with measurable improvements on untolled suburban roads. The distributional effects depended on how revenues were recycled rather than on the charge itself. Political viability, …