Digital Commons Network^™

Exploring 2d X-Ray Diffraction Phase Fraction Analysis With Convolutional Neural Networks: Insights From Kinematic-Diffraction Simulations, Weiqi Yue, Mohommad Redad Mehdi, Pawan K. Tripathi, Matthew A. Willard, Frank Ernst, Roger H. French

Faculty Scholarship

Deep-learning models are effective for analyzing the complex information in 2D X-ray diffraction (XRD) patterns. Accurately collecting parameters of the material sample is crucial during model training, significantly impacting model performance. In this study, we employ a kinematic-diffraction simulator to generate simulated 2D XRD patterns for Ti–6Al–4V alloy, allowing precise control of sample parameters. These simulated patterns are used to train convolutional neural networks, predicting β-phase volume fractions. The training data set consists exclusively of 2D XRD patterns with pure α- or pure β-phase, while the testing set incorporates patterns with intermediate phase volume fraction. In particular, we investigate how …

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

Faculty Scholarship

No abstract provided.

Recent Findings On The Effectiveness Of Peer Support For Patients With Type 2 Diabetes, James J. Werner, Kelsey Ufholz, Prashant Yamajala

Faculty Scholarship

Purpose of Review: To review randomized controlled trials (RCTs) published from 2021–2023 that reported the effects of peer support interventions on outcomes in patients with type 2 diabetes (T2DM). Recent Findings: Literature searches yielded 137 articles and nine RCTs were ultimately reviewed. The reviewed trials involved in-person support groups, peer coach/mentor support, cultural peer support by community health workers, peer support during shared medical appointments (SMAs) including virtual reality-based SMAs, telehealth-facilitated programs, and telephone peer support. Most interventions combined two or more peer support strategies. Peer support was associated with significant decreases in HbA1c in 6 of the 9 reviewed …

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 …

Continuing Benefits Of The Montreal Protocol And Protection Of The Stratospheric Ozone Layer For Human Health And The Environment, Laura S. Bruckman

Faculty Scholarship

The protection of Earth’s stratospheric ozone (O3) is an ongoing process under the auspices of the universally ratified Montreal Protocol and its Amendments and adjustments. A critical part of this process is the assessment of the environmental issues related to changes in O3. The United Nations Environment Programme’s Environmental Effects Assessment Panel provides annual scientific evaluations of some of the key issues arising in the recent collective knowledge base. This current update includes a comprehensive assessment of the incidence rates of skin cancer, cataract and other skin and eye diseases observed worldwide; the effects of UV radiation on tropospheric oxidants, …

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 …

Viral Meningitis And Encephalitis Update, Boris Garber, Jonathan Glauser

Faculty Scholarship

Purpose of Review: This review describes advances in the diagnosis, treatment, and prevention of non-bacterial meningitis and encephalitis, with a focus on emerging viral causes of central nervous system (CNS) infection. Recent Findings: The Infectious Diseases Society of America recently published new guidelines for the management of encephalitis. Multiple articles have been published detailing emerging etiologies in human CNS infections, including analyses of neurological complications in the ongoing COVID-19 pandemic. Finally, several novel viral detection methods have been described, which may improve the detection of the specific etiologies of CNS infections (Hongyan et al. Front Neurol 14, [1]). Summary: Meningitis …

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 …

Us Neonatal Intensive Care Unit Registered Dietitian Nutritionists Salary Description And Correlates: Results Of A Survey, Rosa K. Hand, Sharon Groh-Wargo

Faculty Scholarship

Background: This survey described the compensation of neonatal intensive care unit (NICU) registered dietitian nutritionists (RDNs) in the United States and examined correlates of higher salaries within this group. Methods: A cross-sectional online survey was completed in 2021 by 143 NICU RDNs from 127 US hospitals who reported hourly wage in US dollars (USD). We used initial bivariate analyses to assess the relationship of selected institution-level and individual-level variables to hourly wage; the rank-sum test for binary variables; bivariate regression and Pearson correlation coefficients for continuous variables; the Kruskal–Wallis test for categorical variables. Variables with a compelling relationship to the …

Opening Brief For Plaintiff-Appellant Rocky Freeman, Madeline H. Meth, Sanketh Bhaskar, Henry Drembus, Brianna Jordan

Faculty Scholarship

For nearly two decades, while Rocky Freeman was in federal prison, the United States treated him like a contract killer who murdered two victims even though the U.S. Probation Office knew that this information was false, and the Bureau of Prisons (BOP) knew or should have known the same merely by looking at Freeman’s pre-sentence report (PSR). As a result, Freeman spent years subject to harsh conditions of confinement that he would not have experienced had probation or BOP officers acted with reasonable care. Since learning about this negligence, Freeman has sought repeatedly to remedy the various harms he suffered, …

The Dubious Validity Of The System Of Deportation Arrests, Jack M. Beermann

Faculty Scholarship

Did you ever wonder how it came to be that people suspected of immigration violations are subject to arrest without a judicially issued warrant? That executive branch immigration enforcement officers themselves have the authority to issue enforceable arrest warrants? And further, how it came to be that alleged immigration law violators can be held in prolonged detention without a probable cause hearing before a neutral magistrate of any kind?

When I first encountered this set of related issues, I quickly learned the conventional wisdom, that based on a longstanding tradition and Supreme Court approval, immigration law is an exception to …

A Turn-Off Fluorescent Sensor For Metal Ions Quantifies Corrosion In An Organic Solvent, Lianlian Liu, Zechariah Pfaffenberger, Mark Siegel, Anuj Saini, Lydia Kisley

Faculty Scholarship

We demonstrate that the corrosion of AISI 1045 medium carbon steel and pure aluminum can be quantified by the turn-off fluorescent sensor Phen Green-SK (PGSK) in ethanol-based solutions. We first evaluate the dependence of the chelation enhanced quenching of PGSK on iron and aluminum ion concentrations. Subsequently, we apply PGSK to examine the anodic dissolution of metal corrosion. The observed time-dependent PGSK-quenching quantifies the corrosion rates of two metals over 24 h of immersion in ethanol-based solutions. The PGSK-based quantification of corrosion is compared to scanning electron microscopy and electrochemical techniques, including open circuit potential and Tafel extrapolation. The corrosion …

Sexual Function After Gender Affirming Surgery, Alicia R. Castellanos, Rachel Pope

Faculty Scholarship

Purpose of Review: Sexual function and satisfaction in the transgender community is a nascent field with a paucity of data due to the fast paced nature of improving upon surgical technique and variety of patient experiences. The authors aim to review the current literature for areas of success as well as areas of improvement in order to better the sexual health of the transgender community. Recent Findings: Gender dysphoria is a feeling of distress experienced by those whose gender assigned at birth is not in line with their gender identity. While social transition to the desired gender can suffice for …

Improved Motor Skills In Autistic Children After Three Weeks Of Neurologic Music Therapy Via Telehealth: A Pilot Study, Nicole M. Richard Williams, Corene Hurt-Thaut, Jessica Brian, Luc Tremblay, Marija Pranjic, Jessica Teich, Melissa Tan, Julia Kowaleski, Michael Thaut

Faculty Scholarship

Background: Many autistic children experience motor skill deficits which can impact other areas of functioning, and research on therapeutic interventions for motor skills in autism is in a preliminary stage. Music-based therapies have been used extensively to address motor skills in non-autistic populations. Though a handful of studies exist on the effects of music-based therapies for movement in autistic children, none have investigated the possibility of administering sessions via telehealth. This mixed-methods pilot study investigated whether nine Neurologic Music Therapy (NMT)^® sessions via telehealth would improve motor and attention skills in autistic children.

Methods: Five autistic children between five …

Nodes For Modes: Nodal Honeycomb Metamaterial Enables A Soft Robot With Multimodal Locomotion, Yusuf Dikici, Kathryn Daltorio, Ozan Akkus

Faculty Scholarship

Soft-bodied animals, such as worms and snakes, use many muscles in different ways to traverse unstructured environments and inspire tools for accessing confined spaces. They demonstrate versatility of locomotion which is essential for adaptation to changing terrain conditions. However, replicating such versatility in untethered soft-bodied robots with multimodal locomotion capabilities have been challenging due to complex fabrication processes and limitations of soft body structures to accommodate hardware such as actuators, batteries and circuit boards. Here, we present MetaCrawler, a 3D printed metamaterial soft robot designed for multimodal and omnidirectional locomotion. Our design approach facilitated an easy fabrication process through a …

Preferences, Risk Neutrality And Risk-Sensitive Mdps, James Alexander, Matthew J. Sobel

Faculty Scholarship

A binary preference relation on a real vector space satisfying four (natural) axioms is shown to induce a utility function composed of a linear function to the reals and a weakly monotonic function. The key axiom is decomposition, and the utility function can be taken to be linear if and only if this axiom’s converse is also satisfied. Important consequences follow for risk-sensitive discounted Markov decision processes, decision trees, and the discounted utility model in economics. Since the four axioms imply that preferences correspond to discounting, the four axioms without the converse imply that preferences are consistent with discounting without …

Comparison Of Hospital Volume And Risk-Standardized Mortality Rate As A Proxy For Hospital Quality In Complex Oncologic Hepatopancreatobiliary Surgery, William T. Julian, John B. Ammori, Jeffrey M. Hardacre, Lee M. Ocuin

Faculty Scholarship

Background: Centralization of hepatopancreatobiliary procedures to more experienced centers has been recommended but remains controversial. Hospital volume and risk-stratified mortality rates (RSMR) are metrics for interhospital comparison. We compared facility operative volume with facility RSMR as a proxy for hospital quality. Patients and Methods: Patients who underwent surgery for liver (LC), biliary tract (BTC), and pancreatic (PDAC) cancer were identified in the National Cancer Database (2004–2018). Hierarchical logistic regression was used to create facility-specific models for RSMR. Volume (high versus low) was determined by quintile. Performance (high versus low) was determined by RSMR tercile. Primary outcomes included median facility RSMR …

The Spectrum Of Pneumonia Among Intubated Neonates In The Neonatal Intensive Care Unit, Dayle J. Bondarev, Rita M. Ryan, Devashis Mukherjee

Faculty Scholarship

We review the pathophysiology, epidemiology, diagnosis, treatment, and prevention of ventilator-associated pneumonia (VAP) in neonates. VAP has been studied primarily in adult ICU patients, although there has been more focus on pediatric and neonatal VAP (neo-VAP) in the last decade. The definition as well as diagnosis of VAP in neonates remains a challenge to date. The neonatal intensivist needs to be familiar with the current diagnostic tools and prevention strategies available to treat and reduce VAP to reduce neonatal morbidity and the emergence of antibiotic resistance. This review also highlights preventive strategies and old and emerging treatments available.

The Efficacy Of Telemental Health Interventions For Mood Disorders Pre-Covid-19: A Narrative Review, Alyssa M. Edwards, Jordan C. Petitt, Martha Sajatovic, Sanjana Kumar, Jennifer B. Levin

Faculty Scholarship

The onset of the COVID-19 pandemic saw a significant surge in the utilization of telemental health (TMH) services. This narrative review aimed to investigate the efficacy of TMH for serious mood disorders prior to the COVID-19 pandemic. A search across databases was conducted for randomized controlled trials focusing on TMH interventions for mood disorders, encompassing major depressive disorder (MDD) and bipolar disorder (BD). Study and patient characteristics, interventions, and outcomes were extracted. From a pool of 2611 papers initially identified, 17 met the inclusion criteria: 14 focused on MDD, while 4 addressed BD. Among these, 6 papers directly compared TMH …

Simulacra And Historical Fidelity In Digital Recreation Of Lost Cultural Heritage: Reconstituting Period Materialities For The Period Eye, Trent Olsen, James Hutson, Charles O'Brien, Jeremiah Ratican

Faculty Scholarship

The advancement of digital technologies in art history has opened avenues for reconstructing lost or damaged cultural heritage, a need highlighted by the deteriorated state of many artworks from the 1785 Salon. Grounded in the concept of the “Period Eye” by art historian Michael Baxandall, which emphasizes understanding artworks within their original historical and cultural contexts, this study proposes a subfield focused on Reconstituting Period Materialities for the Period Eye. This methodology bridges comprehensive historical research with generative visual artificial intelligence (AI) technologies, facilitating the creation and immersive virtual reality viewing of artworks. Beyond mere visual replication, the approach aims …

Advancing Sentiment Analysis Through Emotionally-Agnostic Text Mining In Large Language Models (Llms), Jay Ratican, James Hutson

Faculty Scholarship

The conventional methodology for sentiment analysis within large language models (LLMs) has predominantly drawn upon human emotional frameworks, incorporating physiological cues that are inherently absent in text-only communication. This research proposes a paradigm shift towards an emotionallyagnostic approach to sentiment analysis in LLMs, which concentrates on purely textual expressions of sentiment, circumventing the confounding effects of human physiological responses. The aim is to refine sentiment analysis algorithms to discern and generate emotionally congruent responses strictly from text-based cues. This study presents a comprehensive framework for an emotionally-agnostic sentiment analysis model that systematically excludes physiological indicators whilst maintaining the analytical depth …

Resonant Perceptions: Exploring Autistic Aesthetics Through Embodied Cognition, James Hutson, Piper Hutson

Faculty Scholarship

No abstract provided.

The Role Of Student Motivation In Integrating Ai Into Web Design Education: A Longitudinal Study, Jason Lively, James Hutson

Faculty Scholarship

Amidst the current wave studies of artificial intelligence (AI) in education, this longitudinal case study, spanning Spring 2023 to Spring 2024, delves into the integration of AI in the UI/UX web design classroom. By introducing both text-based and image-based AI tools to students with varying levels of skill in introductory web design and user experience (UX) courses, the study observed a significant enhancement in student creative capabilities and project outcomes. The utilization of text-based generators markedly improved writing efficiency and coding, while image-based tools facilitated better ideation and color selection. These findings underscore the potential to augment traditional educational methods, …

A Dose-Response Study To Examine Paraxanthine's Impact On Energy Expenditure, Hunger, Appetite, And Lipolysis, Kristen N. Gross, Leah E. Allen, Anthony M. Hagele, Joesi M. Krieger, Paige J. Sutton, Esther Duncan, Petey W. Mumford, Ralf Jäger, Martin Purpura, Chad M. Kerksick

Faculty Scholarship

This study investigated if paraxanthine (PX) impacts energy expenditure, lipolysis and perceptual responses. In a randomized, double-blind, placebo-controlled, crossover fashion, 21 adults (13 M, 8 F; 26.0 ± 6.4 years, 174.9 ± 11.5 cm, 81.0 ± 15.7 kg body mass, 26.3 ± 3.4 kg/m2) consumed a placebo (PLA), 100 mg (PX100), 200 mg (PX200), and 300 mg of PX (PX300, enfinity®, Ingenious Ingredients, L.P. Lewisville, TX, USA). Venous blood was collected 0, 30, 60, 90, 120 and 180 min (min) after ingestion and analyzed for glycerol and free fatty acids. Resting hemodynamics, metabolic rate and perceptual indicators of hunger, appetite …

Ethical Imperatives And Challenges: Review Of The Use Of Machine Learning For Predictive Analytics In Higher Education, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

The escalating integration of machine learning (ML) in higher education necessitates a critical examination of its ethical implications. This article conducts a comprehensive review of the application of ML for predictive analytics within higher education institutions (HEIs), emphasizing the technology's potential to enhance student outcomes and operational efficiency. The study identifies significant ethical concerns, such as data privacy, informed consent, transparency, and accountability, that arise from the use of ML. Through a detailed analysis of current practices, this review underscores the need for HEIs to develop robust ethical frameworks and technological infrastructures to navigate these challenges effectively. The findings reveal …

Optimizing Adult Learner Success: Applying Random Forest Classifier In Higher Education Predictive Analytics, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

This study examines the application of the Random Forest Classifier (RF) model in predicting academic success among adult learners in higher education. It focuses on evaluating the model's effectiveness using key statistical measures like accuracy, precision, recall, and F1 score across a comprehensive dataset from 2013–14 to 2021–22, which includes variables such as age, ethnicity, gender, Pell Grant eligibility, and academic performance metrics. The research highlights the RF model's capability to handle large datasets with varying data types and demonstrates its superiority over traditional regression models in predictive accuracy. Through an iterative process, the study refines the RF model to …