Digital Commons Network^™

Pursuing Success In A Hybrid Phd Nursing Program, Chloé Littzen, Jennifer T. May Phd, Rn, Anp-Bc, Jessica Rainbow, Helena Morrison, Lois Loescher

Publications

Background:

Little is known about hybrid PhD nursing students' experiences.

Method:

The purpose of this study was to describe and analyze the experiences of PhD nursing students in a hybrid program using a convergent mixed methods design. Recent nursing PhD alumni (n = 18), and current PhD students (n = 4) were recruited at a research-intensive university in the southwestern United States.

Results:

Four metainferences were identified: (1) the facilitator of faculty as both advisors and mentors; (2) the facilitator of peers as support, motivation, and a source of advice that preceded advisors; (3) the barrier of receiving …

Modelled Effectiveness Of Nbs In Reducing Disaster Risk: Evidence From The Operandum Project, Paul Bowyer, Silvia Maria Alfieri, Bidroha Basu, Emilie Cremin, Sisay Debele, Prashant Kumar, Veronika Lechner, Michael Loupis, Massimo Menenti, Slobodan Mickovski, Jan Pfeiffer, Francesco Pilla, Beatrice Pulvirenti, Paolo Ruggieri, Arunima Sarkar Basu, Christos Spyrou, Silvia Unguendoli, Thomas Zieher, Silviana Di Sabatino

Publications

The use of nature-based solutions (NbS) to address the risks posed by hydro-meteorological hazards have not yet become part of the mainstream policy response, and one of the main reasons cited for this, is the lack of evidence that they can effectively reduce disaster risk. This paper addresses this issue, by providing model-based evidence from five European case studies which demonstrate the effectiveness of five different NbS in reducing the magnitude of the hazard and thus risk, in present-day and possible future climates. In OAL-Austria, the hazard is a deep-seated landslide, and the NbS analysed is afforestation. Modelling results …

Ai Malpractice, Bryan H. Choi

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No abstract provided.

Risky Speech Systems: Tort Liability For Ai-Generated Illegal Speech, Margot E. Kaminski

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No abstract provided.

Transitioning To Regenerative Agriculture One French Fry At A Time, Alexia Brunet Marks

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Regenerative agriculture—a farming practice that sequesters atmospheric carbon dioxide (CO2) into the soil—has potential to turn into big business in this climate crisis. If farmers can accurately measure the amount of trapped carbon in their soil, they can sell that stored carbon as a “carbon credit,” a tradeable certificate representing the right to emit one metric ton of carbon dioxide (CO2) or the equivalent amount of another greenhouse gas. As more than seventy countries race to cut greenhouse gas emissions by 2050 in order to meet Paris Agreement1 goals, carbon credits are becoming the “new currency” to meet or exceed …

The Significance Of The Un Declaration On The Rights Of Indigenous Peoples, S. James Anaya

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No abstract provided.

Introduction To The Symposium On Rabiat Akande, "An Imperial History Of Race-Religion In International Law", S. James Anaya, Adrien K. Wing

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No abstract provided.

Dissenting Opinion?, Richard B. Collins

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Johnson v. M'Intosh is important for its extensive description of the racist Doctrine of Discovery. But its holding had no bearing on legal rights of American Indian nations. The opinion's articulation of tribal rights to land ownership and retained sovereignty were correctly stated.

Defining "Healthy" On Food Labels: One Step Forward, Two Steps Back, Alexia Brunet Marks

Publications

Few definitions of the mid-twentieth century have survived into the twenty-first century. It is worth asking, then, why the definition of "health," articulated seventy-five years ago by the World Health Organization, has endured into the present. The 1948 definition reads as follows: "[h]ealth is a state of complete physical, mental[,] and social well-being and not merely the absence of disease or infirmity." Aspirational in tone, the definition resonates with the surge among consumers towards healthier foods and overall well-being. However, in addition to wartime and pandemic concerns, today's threats to achieving "health" include climate change and a rise in diet-related …

Reflections On The Implied Covenant Of Good Faith And Fair Dealing Under Delaware Law: The Case Of Sandbagging, Mark J. Loewenstein

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No abstract provided.

Race, Disability, And Section 230, Blake Reid

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No abstract provided.

Venture Capital And Financial Stability, Ann Lipton

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No abstract provided.

Vehicle Classification Technologies For Toll Collection, Samir Ahmed

Publications

Toll facilities (roads, bridges, and tunnels) are intended for revenue generation to pay off the long-term debt issued to finance construction, capacity expansion, operations, and maintenance of these facilities. Tolls are one form of a broad concept known as road pricing. In addition to revenue generation, road pricing is used for other reasons including transportation demand management to reduce peak hour travel and the recurring traffic congestion on some corridors. The aim of this study is to provide the tolling industry with detailed analysis of the suitability of various non‐ pavement‐intrusive vehicle classification technologies (imaging using radar, Lidar, thermal profiling, …

Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam

Publications

Compared to gasoline/diesel cars and battery electric cars (BECs), hydrogen fuel cell cars (HFCCs) are relatively new. Two main advantages of HFCCs over electric vehicles are no special requirements for heavy batteries and long charging time. There is no HFCC in Texas; thus, exploring the use of electricity or hydrogen produced from renewable energies for personal cars and mitigating vehicle emissions is critical for sustaining a long-term decarburization strategy for megacities like Houston and Dallas. This project addressed this critical gap and developed environmental impacts and cost assessments for hybrid gasoline cars, BECs, and HFCCs in Texas under several possible …

Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky

Publications

An application specific multi-platform smartphone application can utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. Several observations were made with regard to the signals obtained from the accelerometer, gyroscope, and GPS sensors, and it was determined that the raw sensor outputs are capable of sampling statistically significant datasets which can be used to distinguish pavement distress from normal driving conditions. Furthermore, an approximate sensor noise margin is established, and a …

Development Of A Web Application For Traffic Accident Mapping And Analysis, Susan Bogus Halter, Su Zhang, Arian Golrokh Amin

Publications

It is widely accepted that road traffic safety is a significant public health issue. One of the effective ways to improve road traffic safety is analyzing crash data to understand where traffic accidents occur, identify associated spatial and temporal patterns, and determine causation. In the State of New Mexico, locations of traffic accidents are currently visualized using a variety of static maps. Although these statics maps are easier to create and producers can control how users view the data, users cannot customize these maps to meet their special needs. That being said, new maps need to be created for any …

Personalized Bayesian Inference For Explainable Healthcare Management And Intervention, Utkarshani Jaimini, Krishnaprasad Thirunaravan, Maninder Kalra, Robin Dawson, Amit Sheth

Publications

Chronic healthcare conditions such as Asthma re- quires constant monitoring and managing of symptoms and their triggers for better quality of life. Each asthma patient reacts very differently to potential triggers. Hence, there is a need to develop a explainable personalized framework for each patient to capture susceptibility to asthma triggers. We developed a personalized knowledge-based probabilistic model to predict asthma exacerbation for different environmental factors utilizing patient generated health data from pediatric asthma patients. Further, the personalized model provides a metric, called Health Coefficient, to quantify the health of a patient for varying environmental factors. We demonstrate the predictive …

Facilitating Mathematics And Computer Science Connections: A Cross-Curricular Approach, Kimberly E. Beck, Jessica F. Shumway, Umar Shehzad, Jody Clarke-Midura, Mimi Recker

Publications

In the United States, school curricula are often created and taught with distinct boundaries between disciplines. This division between curricular areas may serve as a hindrance to students' long-term learning and their ability to generalize. In contrast, cross-curricular pedagogy provides a way for students to think beyond the classroom walls and make important connections across disciplines. The purpose of this paper is a theoretical reflection on our use of Expansive Framing in our design of lessons across learning environments within the school. We provide a narrative account of our early work in using this theoretical framework to co-plan and enact …

Negotiating Inherent Asymmetries Of Co-Design: A Case Of Integrative Elementary Mathematics And Computer Science Instruction, Victor R. Lee, Stephanie Robillard, Mimi Recker, Jody Clarke-Midura, Jessica Shumway

Publications

Collaborative design, or “co-design”, is a term that has gained popularity in educational research and design communities, including those working with K-12 educators. While more groups are identifying with and pursuing co-design, much remains to be understood about how to structure the work within given different constraints, circumstances, and resources available to different parties. We propose understanding co-design as having inherent asymmetries and that structuring co-design work patterns involves negotiation of those asymmetries. Through a case of an elementary computer science and math integration research-practice partnership, we share ways that those asymmetries are both intentionally softened and leveraged at different …

Using Student Experience Reports As A Window For Teacher Reflections On Inquiry Science Instructional Practices, Jessie Nixon, Mimi Recker

Publications

This paper examines how student experience reports, collected as exit tickets, can be leveraged during professional learning to support science teachers’ understanding of their students and inform future classroom practices. Our analysis frames exit ticket data as a boundary object, which bridges across researchers’, teachers’, and students’ perspectives of the learning environment. During two successive professional learning activities, teachers examined and reflected upon their students’ exit ticket data. A thematic analysis of teachers’ discourse during these activities distilled two themes. The first theme surfaced how exit data helped teachers form new views about their students’ emerging science identities; the second …

Elara Conference - Techniques & Technologies To Support Sustainable Education In The Academic Sphere Year Ii Book 2, Volume 2, European Common Laboratory For Pedagogical Action-Research And Student-Centred Learning (Elara)

Publications

The Fourth Industrial Revolution was and s till is focused on digitalising processes and using AI to increas e productivity. Industry 5.0, on the other hand, focuses on the human factor and the human as the centre of the production process. According to the new paradigm, technology should benefit humans, and human s, in turn, should actively collaborate with machines. In other words, while Industry 4.0 wa s based on the relationship between machines and IT systems, Industry 5.0 brings together the strengths of humans and machines. Following this train of thought, we have come up with the idea to …

Book Review: Wapsipinicon Almanac: Selections From Thirty Years, Andy Oler

Publications

The Wapsipinicon Almanac: Selections from Thirty Years, edited by Timothy Fay. Iowa City: University of Iowa press, 2023. xi, 249 pp. Illustrations. $27.50 paperback.

Preempting The Buzz: Challenges For State And Local Regulation Of Drone Noise, Daniel Friedenzohn, Trevor Simoneau

Publications

From carrying life-saving medical supplies to delivering Amazon packages, drones are increasingly playing a more significant role in our society. Such operations, however, raise a variety of legal and public policy questions, all requiring answers before drone deliveries become commonplace in the package delivery ecosystem. One legal issue that remains significantly underexplored is the challenge of regulating drone noise. This issue raises vital questions of federalism and preemption in the broader debate over federal versus state and local power to govern different aspects of civilian drone operations.

Even though the noise generated by drones is much quieter than other types …

Validating The Critical Teaching Behaviors Midterm Feedback Instrument For Enhanced Teaching Effectiveness And Student Engagement, Claudia Cornejo Happel, Chad Rohrbacher, Teha Cooks, Jenna Korentsides, Joseph R. Keebler, Carmen Van Ommen, Kimberly N. Williams, Lauren Barbeau

Publications

This study, conducted at a private STEM university in the Southeastern United States, presents a series of qualitative and quantitative data validating the Critical Teaching Behaviors Midterm Feedback Instrument (CTB-MFI). The instrument’s validity and reliability were tested through a mixed-methods approach involving faculty surveys, statistical analyses, and a student experience survey and focus groups. A confirmatory factor analysis (CFA) suggests that the CTB-MFI model has excellent fit across multiple indicators, as well as excellent convergent validity. However, low discriminant validity indicates possible correlations between categories of critical teaching behaviors. Data further show that faculty and students perceive the instrument as …

Toward The Unified Theory Of Said-Linked Subauroral Arcs, Evgeny V. Mishin, Anatoly V. Streltsov

Publications

We present a unified approach to subauroral arcs within intense subauroral ion drifts (SAID), which explains the observed transition of a precursor Stable Auroral Red (SAR) arc into Strong Thermal Emission Velocity Enhancement (STEVE). This approach is based on the short-circuiting concept of fasttime SAID as an integral part of a magnetospheric voltage generator between the innermost boundaries of the freshly injected plasma sheet electrons and ring current ions. Here, enhanced plasma turbulence rapidly heats the bulk plasma and accelerates suprathermal non-Maxwellian “tails.” Heat and suprathermal electron transport rapidly elevate the ionospheric electron temperature—the source of a bright SAR arc. …

Advancements In Ai-Driven Education: Transforming Learning And Training With Intelligent Technologies, Sharon L. Burton

Publications

This article examines the transformative role of Artificial Intelligence (AI) in higher education, focusing on its integration in learning methodologies and its impact on student engagement and outcomes. Recent research underscores the increasing use of AI in education, where it is reshaping teaching and learning dynamics by facilitating personalized and effective learning experiences. Applying Literature review, the study further explores AI's role in enhancing independent learning abilities and student satisfaction, with intelligent learning tools proving crucial in improving user contentment and intent to use. Additionally, it considers the ethical and risk management aspects of AI in education, including data governance …

Neurosymbolic Value-Inspired Ai (Why, What, And How), Amit Sheth, Kaushik Roy

Publications

The rapid progression of Artificial Intelligence (AI) systems, facilitated by the advent of Large Language Models (LLMs), has resulted in their widespread application to provide human assistance across diverse industries. This trend has sparked significant discourse centered around the ever-increasing need for LLM-based AI systems to function among humans as part of human society, sharing human values, especially as these systems are deployed in high-stakes settings (e.g., healthcare, autonomous driving, etc.). Towards this end, neurosymbolic AI systems are attractive due to their potential to enable easy-tounderstand and interpretable interfaces for facilitating valuebased decision-making, by leveraging explicit representations of shared values. …

K-Perm: Personalized Response Generation Using Dynamic Knowledge Retrieval And Persona-Adaptive Queries, Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur

Publications

Personalizing conversational agents can enhance the quality of conversations and increase user engagement. However, they often lack external knowledge to tend to a user’s persona appropriately. This is particularly crucial for practical applications like mental health support, nutrition planning, culturally sensitive conversations, or reducing toxic behavior in conversational agents. To enhance the relevance and comprehensiveness of personalized responses, we propose using a two-step approach that involves (1) selectively integrating user personas and (2) contextualizing the response with supplementing information from a background knowledge source. We develop K-PERM (Knowledge-guided PErsonalization with Reward Modulation), a dynamic conversational agent that combines these elements. …

Tutorial: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

Causal Neuro-Symbolic Ai: A Synergy Between Causality And Neuro-Symbolic Methods, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

Causal Neuro-Symbolic AI combines the benefits of causality with Neuro-Symbolic Artificial Intelligence (NeSyAI). More specifically, it (1) enriches NeSyAI systems with explicit representations of causality, (2) integrates causal knowledge with domain knowledge, and (3) enables the use of NeSyAI techniques for causal AI tasks. The explicit causal representation yields insights that predictive models may fail to analyze from observational data. It can also assist people in decision-making scenarios where discerning the cause of an outcome is necessary to choose among various interventions.