Digital Commons Network^™

Innovative Approaches To On-Demand Continuing Legal Education Ethics Training: A Case Study, Tigran W. Eldred, Molly J. Walker Wilson

Journal of Legal Education

No abstract provided.

Continuing Legal Education For The Newly Barred Attorney: A Law School’S Responsibility For Generation Z In The Workplace, Adrian Carpenter-Mckinney

Journal of Legal Education

No abstract provided.

No “Robot Lawyers” Just Yet: The Role Of Continuing Legal Education In Fulfilling The Duty Of Technological Competence, John G. Browning

Journal of Legal Education

No abstract provided.

Technically Speaking: How To Improve Technology Cles To Meet The Needs Of Lawyers And Get Them To Attend, Danielle M. Hall

Journal of Legal Education

No abstract provided.

Mandatory Anti-Bias Cle: A Serious Problem Deserves More Meaningful Response, Rima Sirota

Journal of Legal Education

No abstract provided.

Continuing Legal Education Accreditation And The First Amendment, Anthony M. Ciolli

Journal of Legal Education

No abstract provided.

Evolution Of Continuing Medical Education In The United States: Implications For The Legal Community, Graham T. Mcmahon

Journal of Legal Education

No abstract provided.

Book Review Of Getting To Maybe: How To Excel On Law School Exams, Kris Franklin

Journal of Legal Education

No abstract provided.

Leadership In Collaborative Emergency Management For Compound Hurricane-Pandemic Threats: Insights From Practitioners' Experiences, Norah Alshayhan, Saige Hill, Marina Saitgalina, Juita-Elena (Wie) Yusuf

School of Public Service Faculty Publications

Emergency management is a key government function for mitigating risks and reducing the impacts of disasters. Emergency management leaders play a critical role in preparing for and responding to disasters whose impacts are exacerbated by a pandemic. Using the example of the compound threat of hurricanes and the COVID-19 pandemic, this qualitative research uses insights from emergency management professionals to describe collaborative approaches and leadership skills that help balance the needs for stability and flexibility. Data collected using focus groups and one-on-one interviews with emergency management professionals highlight that collaboration involved existing and new partners in a changing and uncertain …

Perceptions Of Low-Income Parents On Kindergarten Readiness: A Qualitative Study, Farrah Woodberry Owens

Electronic Theses and Dissertations

There is a significant amount of research documenting the importance of school readiness and its implication for life-long consequences (Jarrett & Coba-Rodriguez, 2017, 2018; Kang et al., 2017; Malsch et al., 2011). Parents play a critical role in supporting the acquisition of all skills needed to prepare children for school readiness. Readiness refers to being prepared with the necessary skills to access learning (Saracho, 2023). The purpose of this study is to explore the practices and perceptions of low-income parents on kindergarten readiness skills in the Hollywood School District (HSD) as measured by the Kindergarten Readiness Assessment (KRA). Students in …

Professional Staff Retention In Higher Education: Making Sense Of Why Advisors Stay, Frankie Roark Weeks

Electronic Theses and Dissertations

This qualitative study investigated staff retention in higher education by focusing on the retention of academic advisors. Academic advisors play an integral role in student success and advising is notably one of the fields in higher education with the greatest turnover. This turnover comes at great costs, financial and otherwise, for the institution.

An interpretative phenomenological approach (IPA) was used to study how academic advisors make sense of their persistence in a high turnover field and to identify professional, personal, and institutional factors that contribute to persistence. Eleven professional staff members whose primary role is academic advising at a four-year …

A New Air-Assisted Flare Tip Design For Managing Gas Flare Emissions (Cfd Analysis), Ahmed A. Maaroof, Joseph D. Smith, Mohammed H.S. Zangana

Chemical and Biochemical Engineering Faculty Research & Creative Works

Recently, flares have been considered as a major source of air pollution from the petroleum refining industry. The United Nations has instigated an international effort related to the management of flare emissions to reduce the global warming impact related to flaring. Eliminating or removing the need for gas flares is difficult because these devices are generally used as safety devices to allow the combustion of flammable gases in a controlled fashion which supports safe operation. However, reducing flaring is generally possible using well-designed, efficiently operated flare equipment. In general, flare performance can be enhanced following the API-521 methodology and using …

Antibiotic-Loaded Dendrimer Hydrogels In Periodontal Bone Regeneration: An In Vitro Release Feasibility Study, Nicholas Yesbeck, Da Huang, Caroline Carrico, Parthasarathy Madurantakam, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

The prescription of a course of oral antibiotics following bone grafting procedures is a common practice in clinical periodontics to reduce surgical site infections. The goal of this study is to characterize the release profile of antibiotics via local delivery using dendrimer hydrogels (DH) and to analyze the effect of two different particulate bone allografts on the release of the antibiotics in vitro. DH were synthesized from Poly amidoamine (PAMAM) dendrimer G5 and polyethylene glycol diacrylate, and cefazolin was chosen as the antibiotic. The antibiotic-loaded samples were bathed in PBS and incubated at 37 °C; aliquots were taken (1 h, …

Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang

Faculty, Staff and Student Publications

Objectives: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, and large pre-training datasets to perform a wide spectrum of natural language processing (NLP) tasks. Using a few examples (few-shot) or no examples (zero-shot) for prompt-tuning has enabled LLMs to achieve state-of-the-art performance in a broad range of NLP applications. This article by the American Medical Informatics Association (AMIA) NLP Working Group characterizes the opportunities, challenges, and best practices for our community to leverage and advance the integration of …

Synthesis Of Amorphous And Various Phase-Pure Nanoparticles Of Nickel Phosphide With Uniform Sizes Via A Trioctylphosphine-Mediated Pathway, David Thompson, Adam S. Hoffman, Zachary R. Mansley, Sarah York, Feng Wang, Yimei Zhu, Simon R. Bare, Jingyi Chen

Chemistry & Biochemistry Faculty Publications and Presentations

Nickel phosphides are of particular interest because they are highly active and stable catalysts for petroleum/biorefinery and hydrogen production. Despite their significant catalytic potential, synthesizing various phase-pure nickel phosphide nanoparticles of uniform size remains a challenge. In this work, we develop a robust trioctylphosphine (TOP)-mediated route to make highly uniform phase-pure Ni₁₂P₅, Ni₂P, and Ni₅P₄ nanoparticles. The synthetic route forms amorphous Ni₇₀P₃₀ nanoparticle intermediates. The reactions can be stopped at the amorphous stage when amorphous particles are desired. The amount of P incorporation can be controlled by varying …

Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.

OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.

MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …

Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu

Faculty, Staff and Student Publications

OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.

MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …

Clinical Translation Of A Deep Learning Model Of Radiation-Induced Lymphopenia For Esophageal Cancer, Zongsheng Hu, Radhe Mohan, Yan Chu, Xiaochun Wang, Peter S N Van Rossum, Yiqing Chen, Madison E Grayson, Angela G Gearhardt, Clemens Grassberger, Degui Zhi, Brian P Hobbs, Steven H Lin, Wenhua Cao

Faculty, Staff and Student Publications

PURPOSE: Radiation-induced lymphopenia is a common immune toxicity that adversely impacts treatment outcomes. We report here our approach to translate a deep-learning (DL) model developed to predict severe lymphopenia risk among esophageal cancer into a strategy for incorporating the immune system as an organ-at-risk (iOAR) to mitigate the risk.

MATERIALS AND METHODS: We conducted "virtual clinical trials" utilizing retrospective data for 10 intensity-modulated radiation therapy (IMRT) and 10 passively-scattered proton therapy (PSPT) esophageal cancer patients. For each patient, additional treatment plans of the modality other than the original were created employing standard-of-care (SOC) dose constraints. Predicted values of absolute lymphocyte …

Systematically Assessing The Quality Of Dental Electronic Health Record Data For An Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, Ferit Kivanc, Elizabeth Mertz, Aubri Kottek, Joanna Mullins, Shuang Liang, Larry E Jenson, Joel M White

Faculty, Staff and Student Publications

Objectives: This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.

Methods: Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. …

Does Voice Endorsement By Supervisors Enhance Or Constrain Voicer's Personal Initiative? Countervailing Effects Via Feeling Pride And Feeling Envied, Mingyun Huai, Xueqi Wen, Zihan Liu, Xingyu Wang, Wen-Dong Li, Mo Wang

Research Collection Lee Kong Chian School Of Business

While the previous research has examined antecedents of supervisors’ voice endorsement, it has generally overlooked its effects on voicers’ affective and behavioral reactions, probably because of the underlying assumption that supervisors’ voice endorsement is inherently beneficial and likely to encourage more proactive behaviors in the future. In this research, we offer a theoretical model of the double-edged effects of supervisors’ voice endorsement on voicers’ subsequent personal initiative. Drawing on cognitive appraisal theory and related research, we proposed that supervisors’ voice endorsement prompts two different cognitive appraisal processes in voicers that evoke two distinct emotional experiences—feeling pride and feeling envied—with countervailing …

Neuronal Control Of Posture In Blind Individuals, I. Helmich, R. Gemmerich

Exercise and Sport Studies: Faculty Publications

The control of posture is guided by the integration of sensory information. Because blind individuals cannot apply visual information to control posture as sighted individuals do they must compensate by the remaining senses. We therefore hypothesize that blind individuals alter their brain activation in the sensorimotor cortex during postural control to compensate for balance control without vision by the increased integration of somatosensory information. Ten blind and ten sighted (matched) individuals controlled posture during conditions with (I) eyes closed / open, and (II) stable / unstable surface conditions. Postural sway was recorded by applying a pressure distribution measuring plate. Brain …

Let’S Not Be Creative: “Rigid Irac” And The Hidden Power Of Formalistic Legal Writing, Andrew J. Turner

Journal of Legal Education

No abstract provided.

Kirby’S On My Mind: A Material Culture Approach To Critical Legal Information Literacy, Nicholas Mignanelli

Journal of Legal Education

No abstract provided.

Beginning At The End: A Roadmap For Mandatory Diversity Continuing Legal Education, Lisa Sonia Taylor

Journal of Legal Education

No abstract provided.

Is Mcle Broken? Rethinking Continuing Legal Education For The Next Fifty Years, Yanneck Ostaficzuk

Journal of Legal Education

No abstract provided.

When E And G Disagree: Esg Scores Between Hedonic And Utilitarian Firms, Timothy Loomas

Executive DBA Dissertations

How do Environmental (E), Social (S), and Governance (G) scores vary when examined under a hedonic-utilitarian lens? The happiness and guilt associated with hedonic (pleasure oriented) products have been shown to increase altruism and prosocial behavior as compared to utilitarian (need oriented) products. Based on this we examine whether Social- and Environmental-pillar scores for firms associated with hedonic products and/or services will be greater than for firms associated with utilitarian products and/or services. To test these hypotheses, data from the Thompson-Refinitiv ESG database were used to compare the ESG pillar scores between hedonic and utilitarian firms. The research finds higher …

Macro Level Sensegiving Of Disruptive Innovation In Sterile Processing, Marjorie Wall

Executive DBA Dissertations

This dissertation examines how macro-level actors in the sterile processing industry utilize social connectedness and experiential surfacing to facilitate the sensegiving process in the adoption of disruptive technologies. Drawing on the institutional work theory, this study focuses on the actions of individual actors aimed at creating, maintaining, and disrupting institutions in the context of sterile processing—a critical yet often overlooked sector of healthcare.

This research specifically explores how the sterile processing industry responded to the adoption of disruptive technologies during the COVID-19 pandemic. By analyzing over 1,100 podcast episodes, the study examines the rhetorical strategies used by industry leaders and …

There Is Such A Thing As A Free Lunch, But That Isn't Enough: Incentivizing Elementary School-Age Children To Participate In The Healthy Free Meals Program, Angelia Nava

Executive DBA Dissertations

This dissertation investigates the influence of incentives on school-age children's participation in school meal programs, aiming to understand the impact of different incentive strategies on student behavior. This research delves into the dynamics of reward structures (team versus individual) and their implications on school-age children's short- and long-term participation in school meal programs. We find that both incentives increase meal participation and that the team incentive is more effective than the individual incentive, especially in the short run. We also find that once the incentive is removed that motivation to do the activity also returns to pre- incentive levels.

Strategies And Tools For Teaching Music Learners About Citations, Z. Sylvia Yang, Jessica M. Abbazio

Library Faculty publications

Formatting citations is a task faced by students across all disciplines and at all stages of their academic careers, and the wide variety of content types and formats used in music-related research means that this work can be especially complex for students in music classes. How can library staff teach music students about footnotes and bibliography entries without spending entire sessions pointing out the positions of commas and parentheses, thereby leaving limited time to discuss the relationship of citations to knowledge production? The authors introduce a range of methods for providing instruction on formatting citations, including the implementation of a …

Dirt/Μ: Automated Extraction Of Root Hair Traits Using Combinatorial Optimization, Peter Pietrzyk, Neen Phan-Udom, Chartinun Chutoe, Lise Pingault, Ankita Roy, Marc Libault, Patompong Johns Saengwilai, Alexander Bucksch

Department of Entomology: Faculty Publications

As with phenotyping of any microscopic appendages, such as cilia or antennae, phenotyping of root hairs has been a challenge due to their complex intersecting arrangements in two-dimensional images and the technical limitations of automated measurements. Digital Imaging of Root Traits at Microscale (DIRT/μ) is a newly developed algorithm that addresses this issue by computationally resolving intersections and extracting individual root hairs from two-dimensional microscopy images. This solution enables automatic and precise trait measurements of individual root hairs. DIRT/μ rigorously defines a set of rules to resolve intersecting root hairs and minimizes a newly designed cost function to combinatorically identify …