Digital Commons Network^™

School Nutrition Stakeholders Find Utility In Mealsim: An Agent-Based Model, Melissa Pflugh Prescott

Faculty Scholarship

Objective: To obtain feedback from school nutrition stakeholders on an agent-based model simulating school lunch to inform model refinement and future applications. Design: Qualitative study using online discussion groups. Setting: School nutrition professional stakeholders across the US. Participants: Twenty-eight school nutrition stakeholders. Phenomenon of Interest: Perceptions and applicability of MealSim for school nutrition stakeholders to help reduce food waste. Analysis: Deductive approach followed by inductive analysis of discussion group transcripts. Results: Stakeholders appreciated the customizability of the cafeteria characteristics and suggested adding additional characteristics to best represent the school meal system, such as factors relating to school staff supervision of …

Perceptions And Aspirations Of Undergraduate Computer Science Students Towards Generative Ai: A Qualitative Inquiry, James Hutson, Theresa Jeevanjee

Faculty Scholarship

This article presents a comprehensive study conducted during the spring semester of 2024, aimed at exploring undergraduate computer science students’ perceptions, awareness, and understanding of generative artificial intelligence (GAI) tools within the context of their Artificial Intelligence (AI) courses. The research methodology employed qualitative techniques, including human-subject research and focus groups, to delve into students’ insights on the evolution of AI as delineated in the seminal textbook by Russell and Norvig. The study-initiated discussions on the historical development of AI, prompting students to reflect on the aspects that intrigued them the most, and to identify which historical concepts and methodologies, …

Predictive Power Of Machine Learning Models On Degree Completion Among Adult Learners, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

The integration of machine learning (ML) into higher education has been recognized as a transformative force for adult learners, a growing demographic facing unique educational challenges. This study evaluates the predictive power of three ML models—Random Forest, Gradient-Boosting Machine, and Decision Trees—in forecasting degree completion among this group. Utilizing a dataset from the academic years 2013-14 to 2021-22, which includes demographic and academic performance metrics, the study employs accuracy, precision, recall, and F1 score to assess the efficacy of these models. The results indicate that the Gradient-Boosting Machine model outperforms others in predicting degree completion, suggesting that ML can significantly …

Transforming The Welfare State, One Case At A Time: How Utrecht Makes Customized Social Care Work, Charles F. Sabel, Jonathan Zeitlin, Jan-Kees Helderman

Faculty Scholarship

Advanced welfare states are under pressure to customize services, promptly enough to prevent a cascade of harms. With these goals, the Netherlands in 2015 decentralized social care services to municipalities, and within municipalities to neighborhood teams in continuing contact with clients. The overall results have been disappointing. But the experience of Utrecht, the Netherlands’ fourth-largest city, has been strikingly different. By using hard-to-resolve cases to signal conflicts in rules, obstructive jurisdictional boundaries, and the shortcomings of private service providers, Utrecht is learning to customize and speed delivery of social care through incremental steps. This article explains how Utrecht’s success addresses …

Opening Dialogue, Lee C. Bollinger, Geoffrey R. Stone

Faculty Scholarship

To set the stage for the excellent essays that make up this volume on the future of free speech, let’s begin where we often do when thinking together about the First Amendment: with some basic facts and fundamental observations about the constitutional command that “Congress shall make no law ... abridging the freedom of speech, or of the press.”

Of course, in the United States, “free speech” is not only part of the constitutional Bill of Rights; it is also a cultural and social norm by which we choose to live. Several of the essays in this volume therefore take …

On The Ftc’S Authority To Promulgate Trade Regulation Rules, Lev Menand, Tim Wu

Faculty Scholarship

On April 23, 2024, the FTC finalized a trade regulation rule prohibiting employers from enforcing non-compete agreements against workers. In response, business groups sued and Daniel Crane, a law professor at the University of Michigan, published a piece in Notice and Comment that reported on the views of 17 anonymous online volunteers regarding the fate of the rule in the courts. All but one of the volunteers, drawn from law professor listservs, predicted the law would be struck down, either based on the “Major Questions Doctrine” (MQD) or for lack of authority to promulgate substantive rules governing unfair methods of …

Sect And Superstition: The Protestant Framework Of American Codification, Kellen R. Funk

Faculty Scholarship

Elite lawyers who debated codification in the nineteenth-century United States treated codification as inseparable from a liberal Protestant textualism that had taken hold in the early national era. Legislators declared codification to be the necessary final step of the Protestant Reformation and frequently characterized common law lawyers as beholden to ‘superstition’ and ‘priestcraft’. Their opponents denounced the codifiers’ idea that texts alone could adequately convey common meanings and delighted to point out the endlessly fracturing glosses on supposedly ‘clear’ texts that divided the positivists into an ever-increasing number of sects.

Many works have addressed the relationship between populism and positivism …

Is John Stuart Mill's On Liberty Obsolete?, Vincent A. Blasi

Faculty Scholarship

In On Liberty, published in 1859, John Stuart Mill argues for the “absolute” protection of the “liberty of thought and discussion.” Ever the empiricist, he maintains that such uncompromised freedom, not for all communication or self-expression but for the subset of those activities that qualifies as thought and discussion, would generate the best overall consequences for societies such as Great Britain and the United States. The advent of digital technology has altered how thought and discussion is generated, distributed, and received in ways that might problematize some of the empirical assumptions upon which Mill's argument in On Liberty is …

Navigating The Ethical Terrain Of Ai In Higher Education: Strategies For Mitigating Bias And Promoting Fairness, Emily Barnes, James Hutson

Faculty Scholarship

Artificial intelligence (AI) and machine learning (ML) are transforming higher education by enhancing personalized learning and academic support, yet they pose significant ethical challenges, particularly in terms of inherent biases. This review critically examines the integration of AI in higher education, underscoring the dual aspects of its potential to innovate educational paradigms and the essential need to address ethical implications to avoid perpetuating existing inequalities. The researchers employed a methodological approach that analyzed case studies and literature as primary data collection methods, focusing on strategies to mitigate biases through technical solutions, diverse datasets, and strict adherence to ethical guidelines. Their …

International Society Of Sports Nutrition Position Stand: Ketogenic Diets, Alex Leaf, Jeffrey A. Rothschild, Tim M. Sharpe, Stacy T. Sims, Chad J. Macias, Geoff G. Futch, Michael D. Roberts, Jeffrey R. Stout, Michael J. Ormsbee, Alan A. Aragon, Bill I. Campbell, Shawn M. Arent, Dominic P. D'Agostino, Michelle T. Barrack, Chad Kerksick, Richard B. Kreider, Douglas S. Kalman, Jose Antonio

Faculty Scholarship

Position statement

The International Society of Sports Nutrition (ISSN) provides an objective and critical review of the use of a ketogenic diet in healthy exercising adults, with a focus on exercise performance and body composition. However, this review does not address the use of exogenous ketone supplements. The following points summarize the position of the ISSN:

1. A ketogenic diet induces a state of nutritional ketosis, which is generally defined as serum ketone levels above 0.5 mM. While many factors can impact what amount of daily carbohydrate intake will result in these levels, a broad guideline is a daily dietary …

The Subfederal In Immigration Polarization, Huyen Pham, Pham Hoang Van

Faculty Scholarship

The framing of subfederal immigration regulation as a red- blue divide is conventional wisdom. As more states, cities, and counties have engaged in the regulation of immigrants within their jurisdictions, it is not particularly surprising to see deep-red states like Texas enacting laws that restrict the rights of immigrants in their jurisdictions (e.g., requiring police within the state to honor detainers issued by United States Immigration and Customs Enforcement (ICE)) or deep-blue states like California enacting laws that protect immigrants’ rights (e.g., issuing driver’s licenses without requiring proof of lawful immigration status).

Rather than only reflecting national polarization on immigration …

The Sources And Consequences Of Disputes Over Contractual Meaning, Randy D. Gordon

Faculty Scholarship

With some frequency, parties agree to the particular words used in a contract they sign, only to later disagree as to the meaning of those words and their legal effect. That is, they each assent to something, but that “something” is something different for each of them. In this Article, I first categorize and trace the sources of recurring points of disagreement as a matter of language and linguistics. Then, I look at the consequences of a dispute that leads a fact finder to conclude that the parties genuinely did not agree to the same thing, which is to say …

Present Case Studies Highlighting Practical Implications Of Architectural Design Choices, Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of deep neural networks (DNNs) has become a crucial focus within artificial intelligence and machine learning, particularly as these models are increasingly used in high-stakes applications such as healthcare, finance, and autonomous driving. This article explores the impact of architectural design choices on the interpretability of DNNs, emphasizing the importance of transparency, trust, and accountability in AI systems. By presenting case studies and experimental results, the article highlights how different architectural elements—such as layer types, network depth, connectivity patterns, and attention mechanisms—affect model interpretability and performance. The discussion is structured into three main sections: real-world applications, architectural trade-offs, …

Strategic Integration Of Ai In Higher Education And Industry: The Ai8-Point Model, Emily Barnes, James Hutson

Faculty Scholarship

The AI8-Point Model, derived from extensive experience in technology, AI, and higher education administration, addresses the critical need for cost-effective, high-impact strategies tailored to higher education. Despite the transformative potential of AI in enhancing student engagement, optimizing processes, and improving educational outcomes, institutions often struggle with practical implementation. The AI8-Point Model fills this gap by offering strategies that balance cost and impact. Visualized as a circle divided into four quadrants, the model encompasses phases of student engagement and institutional interaction: pre-enrollment beyond institutional control, pre-enrollment within institutional control, post-enrollment within institutional control, and post-enrollment beyond institutional control. Each quadrant contains …

Rays Of Hope For The Administrative State, Peter L. Strauss

Faculty Scholarship

The assault on Chevron has not yet been resolved, but it is next to impossible to believe that the sensible Justices of the Court will go any further than to reaffirm that deciding questions of the scope of agency authority is exclusively for judicial resolution (though perhaps with Skidmore-like attention to the views of the agency, so much more familiar with its statutes as a whole). This was the position clearly taken by the Court in 1940, in United States v. American Trucking Ass’ns., and to go beyond it into decision, rather than review, of agency judgments would …

A Mouse Model Of The Protease-Activated Receptor 4 Pro310leu Variant Has Reduced Platelet Reactivity, Xu Han, Elizabeth A. Knauss, Maria De La Fuente, Ronald A. Conlon, David F. Lepage, Weihong Jiang, Marvin T. Nieman

Faculty Scholarship

Background: Protease-activated receptor 4 (PAR4) mediates thrombin signaling on platelets and other cells. Our recent structural studies demonstrated that a single nucleotide polymorphism in extracellular loop 3 and PAR4-P310L (rs2227376) leads to a hyporeactive receptor. Objectives: The goal of this study was to determine how the hyporeactive PAR4 variant in extracellular loop 3 impacts platelet function in vivo using a novel knock-in mouse model (PAR4-322L). Methods: A point mutation was introduced into the PAR4 gene F2rl3 via CRISPR/Cas9 to create PAR4-P322L, the mouse homolog to human PAR4-P310L. Platelet response to PAR4 activation peptide (AYPGKF), thrombin, ADP, and convulxin was monitored …

Navigating The Complexities Of Ai: The Critical Role Of Interpretability And Explainability In Ensuring Transparency And Trust, Emily Barnes, James Hutson

Faculty Scholarship

The interpretability and explainability of deep neural networks (DNNs) are paramount in artificial intelligence (AI), especially when applied to high-stakes fields such as healthcare, finance, and autonomous driving. The need for this study arises from the growing integration of AI into critical areas where transparency, trust, and ethical decision-making are essential. This paper explores the impact of architectural design choices on DNN interpretability, focusing on how different architectural elements like layer types, network depth, connectivity patterns, and attention mechanisms affect model transparency. Methodologically, the study employs a comprehensive review of case studies and experimental results to analyze the balance between …

Evaluating Methods For Assessing Interpretability Of Deep Neural Networks (Dnns), Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of deep neural networks (DNNs) is a critical focus in artificial intelligence (AI) and machine learning (ML), particularly as these models are increasingly deployed in high-stakes applications such as healthcare, finance, and autonomous systems. In the context of these technologies, interpretability refers to the extent to which a human can understand the cause of a decision made by a model. This article evaluates various methods for assessing the interpretability of DNNs, recognizing the significant challenges posed by their complex and opaque nature. The review encompasses both quantitative metrics and qualitative evaluations, aiming to identify effective strategies that enhance …

Breaking Down Siloes And Building Up Students: The Transformational Possibilities Of Professional Identity Formation, Lindsey P. Gustafson, Aric K. Short, Robin Thorner

Faculty Scholarship

Under the ABA’s sequenced approach to implementation of Standard 303(b)(3), schools should now have developed plans for providing opportunities for professional identity formation and should be implementing them. These plans must provide students with an “intentional exploration of the values, guiding principles, and well-being practices considered foundational to successful legal practice.” In addition, these plans should provide for frequent opportunities for development, “during each year of law school and in a variety of courses and co-curricular and professional development activities.”

Because Standard 303(b)(3) is necessarily tied to the unique character, existing
structures, and available resources of a law school, each …

Architectural Elements Contributing To Interpretability Of Deep Neural Networks (Dnns), Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of Deep Neural Networks (DNNs) has become a critical focus in artificial intelligence and machine learning, particularly as DNNs are increasingly used in high-stakes applications like healthcare, finance, and autonomous driving. Interpretability refers to the extent to which humans can understand the reasons behind a model's decisions, which is essential for trust, accountability, and transparency. However, the complexity and depth of DNN architectures often compromise interpretability as these models function as "black boxes." This article reviews key architectural elements of DNNs that affect their interpretability, aiming to guide the design of more transparent and trustworthy models. The primary …

Critical Race Theory Bans And The Changing Canon: Cultural Appropriation In Narrative, Susan Ayres

Faculty Scholarship

Thirty-five states have enacted critical race theory bans at the level of elementary and secondary public education, and seven states have extended these to the university level. One way to resist these attempts to repress a healthy democracy by whitewashing history is through a pedagogy of antiracism, including literary works. The question of what that would look like involves questions of cultural appropriation, which occurs when one takes from another culture, such as a writer creating a narrative about a character outside of the writer’s cultural identity. This Article considers the story of Ota Benga, brought from the Congo to …

Putting The Lawyer First: Framing Well-Being In Law As An Ethical Dilemma, Aric Short

Faculty Scholarship

A disturbingly high percentage of our students continue to be unwell. In the most recent and comprehensive survey of law student well-being in 2021, almost 70% of law students responded that, in the past twelve months, they believed they needed to seek help for emotional or mental health problems. Embedded screening tools in the survey suggested that 34% of respondents were clinically depressed and 54% suffered from clinical anxiety. 44% of respondents reported being drunk in the past thirty days, 33% had engaged in binge drinking in the preceding two weeks, and 38% had smoked marijuana in the past twelve …

Editorial: Transfusion Medicine And Blood, Volume Ii, Robert W. Maitta

Faculty Scholarship

No abstract provided.

Lay Advisor Interventions For Hypertension Outcomes: A Systematic Review, Meta-Analysis And A Re-Aim Evaluation, Sonal J. Patil, Leila Bushweller, Eno-Obong Udoh, Irina Todorov, Robert Saper, Kurt C. Stange, Shari Bolen

Faculty Scholarship

Introduction: Lay advisor interventions improve hypertension outcomes; however, the added benefits and relevant factors for their widespread implementation into health systems are unknown. We performed a systematic review to: (1) summarize the benefits of adding lay advisors to interventions on hypertension outcomes, and (2) summarize factors associated with successful implementation in health systems using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Methods: We systematically searched several databases, including Ovid MEDLINE, CINAHL, PsycINFO from January 1981 to May 2023. All study designs of interventions delivered solely by lay advisors for adults with hypertension were eligible. If both arms received the …

Broad-Area-Search Of New Construction Using Time Series Analysis Of Landsat And Sentinel-2 Data, Xiaojing Tang, Madison G. Barrett, Kangjoon Cho, Kelsee H. Bratley, Katelyn Tarrio, Yingtong Zhang, Hanfeng Gu, Peter Rasmussen, Marc Bosch, Curtis E. Woodcock

Faculty Scholarship

New construction activities can alter surface albedo and structure, which then affect surface temperature and roughness, and hence have a significant impact on urban climate. Construction activity is also an important indicator of human development and movement and is of high interest to the intelligence community. A new approach for Broad-Area-Search of New Construction activities (BASC) by combining time series analysis and rule-based filters using Landsat data was developed and tested in five selected cities (Boston, Shanghai, Sa ̃o Paulo, Dubai, and Ho Chi Minh City). The algorithm transforms Landsat images into fractions of a set of four endmembers using …

Social Needs Screening And Intervention In Pediatric Primary Care: Impact On Families’ Experience Of Care, Sarah D. Ronis, Marie Masotya, Kurt C. Stange

Faculty Scholarship

Introduction/Objectives: Social determinants of health (SDoH) screening and intervention in pediatric primary care depends upon caregiver disclosure of adverse household or social conditions and thus may be influenced by perceived bias or stigma. This paper examines to what extent parents’ experience of their child’s medical home is associated with their perceptions of a practice-based social needs intervention. Methods: We conducted a cohort study of data reported by 73 parents of children obtaining care in a medical home with an embedded SDoH navigation program. Using survey data collected in October 2021 and October 2022, we calculated descriptive statistics and non-parametric bivariate …

Development Of An International Standard Set Of Outcomes And Measurement Methods For Routine Practice For Infants, Children, And Adolescents With Epilepsy: The International Consortium For Health Outcomes Measurement Consensus Recommendations, Martha Sajatovic

Faculty Scholarship

At present, there is no internationally accepted set of core outcomes or measurement methods for epilepsy clinical practice. The International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group of experts in epilepsy, people with epilepsy, and their representatives to develop minimum sets of standardized outcomes and outcome measurement methods for clinical practice. Using modified Delphi consensus methods with consecutive rounds of online voting over 12 months, a core set of outcomes and corresponding measurement tool packages to capture the outcomes were identified for infants, children, and adolescents with epilepsy. Consensus methods identified 20 core outcomes. In addition …

Best Anticoagulation Strategy With And Without Appendage Occlusion For Stroke-Prophylaxis In Postablation Atrial Fibrillation Patients With Cardiac Amyloidosis, Andrea Natale

Faculty Scholarship

Introduction: Both atrial fibrillation (AF) and amyloidosis increase stroke risk. We evaluated the best anticoagulation strategy in AF patients with coexistent amyloidosis. Methods: Consecutive AF patients with concomitant amyloidosis were divided into two groups based on the postablation stroke-prophylaxis approach; group 1: left atrial appendage occlusion (LAAO) in eligible patients and group 2: oral anticoagulation (OAC). Group 1 patients were further divided into Gr. 1A: LAAO + half-does NOAC (HD-NOAC) for 6 months followed by aspirin 81 mg/day and Gr. 1B: LAAO + HD-NOAC. In group 1 patients, with complete occlusion at the 45-day transesophageal echocardiogram, patients were switched to …

Violence Exposure And Trauma Screener For Youth (Vetsy), Daniel Joseph Flannery, Ivette Noriega, Mark Singer, Jeff Kretschmar

Faculty Scholarship

Background: Youth exposed to violence are at serious risk for physical, emotional, behavioral, and mental distress. Reliable and prompt detection is necessary to mitigate the psychological consequences of youth violence exposure and trauma. Objective: To describe the initial creation of the VETSY screener and its construct validity and potential use. Methods: From 2014 through 2022 we surveyed 20,532 at-risk youth aged 8–18 years from a diverse metropolitan community participating in the Defending Childhood Initiative (DCI). Youth completed a 17-item self-report screener. An Exploratory Factor Analysis (EFA) was used to determine the reliability and variable grouping for this brief screener. Violence …

Development Of An International Standard Set Of Outcomes And Measurement Methods For Routine Practice For Adults With Epilepsy: The International Consortium For Health Outcomes Measurement Consensus Recommendations, Martha Sajatovic

Faculty Scholarship

At present, there is no internationally accepted set of core outcomes or measurement methods for epilepsy clinical practice. Therefore, the International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group of experts in epilepsy, people with epilepsy and their representatives to develop minimum sets of standardized outcomes and outcomes measurement methods for clinical practice that support patient–clinician decision-making and quality improvement. Consensus methods identified 20 core outcomes. Measurement tools were recommended based on their evidence of strong clinical measurement properties, feasibility, and cross-cultural applicability. The essential outcomes included many non-seizure outcomes: anxiety, depression, suicidality, memory and attention, sleep …