Digital Commons Network^™

Black And Latine Youth Thinking About Punitive And Restorative Approaches In Relation To Race/Ethnicity, Gabriel M. Velez, Amelia Kasper

College of Education Faculty Research and Publications

Restorative practices (RPs) are a growing approach to mitigate racial/ethnic disparities in school disciplinary systems. This qualitative study explores the lived experiences of Black and/or Latine students, examining how they perceive and interpret disciplinary approaches in their schools. Using focus groups across seven high schools (N = 93 participants), we explored how students made meaning of the potential of RP. Overall, participants expressed nuanced opinions regarding the purposes and effectiveness of both punitive and restorative approaches. Specifically, participants demonstrated mixed thinking about punitive and restorative responses, connected the efficacy of responses to context, and stressed the importance of incorporating …

Differences In Patient And Parent Preferences For Prognostic Communication Across Disease Milestones In Advanced Childhood Cancer, Harmony Farner, Tara M Brinkman, Justin N Baker, Pamela S Hinds, Jennifer W Mack, Erica C Kaye

Faculty, Staff and Students Publications

Background: Navigating prognostic communication is challenging for clinicians caring for adolescents and young adults (AYAs) with poor-prognosis cancer. Presently, little is known about how AYA and parent preferences for prognostic disclosure evolve over time. This study explored communication preferences at key illness milestones of disease progression to inform individualized, person-centered approaches to optimize prognostic disclosure.

Procedure: Sixty-five participants, including 25 AYAs aged 12-25 years and 40 parents, were recruited at distinct illness timepoints-diagnosis, relapse/progression, Phase I/II trial enrollment, and bereavement-to participate in semi-structured interviews about their preferences for timing, style, and content of prognostic communication. Rapid analysis was conducted to …

Predicting Craving-Related Emotions Among Opioid Use Disorder Patients: Preliminary Results, Hajar Ahmed, Bishal Lamichhane, Ashutosh Sabharwal, Ramiro Salas, Nidal Moukaddam, Akane Sano

Faculty, Staff and Students Publications

Individuals with Opioid Use Disorder (OUD) often struggle to maintain sobriety, with many experiencing relapse within the first year. While medication-assisted treatment (MAT) is among the most effective approaches, access to intensive care is often limited by financial barriers. Mobile health (mHealth) technologies offer a promising, cost-effective alternative by enabling continuous monitoring and timely intervention through tools such as ecological momentary assessments (EMAs), wearable sensors, and smartphone data. In this study, we explore the feasibility of using mHealth data to predict emotions that align with cravings in OUD patients undergoing MAT. Using data collected from EMAs, wearables, smartphone tracking, and …

A Computer Vision And Machine Learning Approach To Classify Views In Distal Radius Radiographs, Raven Hollis, Sai Unnam, Srikhar Chilukuri, Lorenzo Deveza

Faculty, Staff and Students Publications

Advances in computer vision and machine learning have augmented the ability to analyze orthopedic radiographs. A critical but underexplored component of this process is the accurate classification of radiographic views and localization of relevant anatomical regions, both of which can impact the performance of downstream diagnostic models. This study presents a deep learning object detection model and mobile application designed to classify distal radius radiographs into standard views-anterior-posterior (AP), lateral (LAT), and oblique (OB)- while localizing the anatomical region most relevant to distal radius fractures. A total of 1593 deidentified radiographs were collected from a single institution between 2021 and …

Early Outcomes Of Endovascular Repair Of Aortic Arch Lesions In Zone 0/1 With A Thoracic Branched Endoprosthesis, William Brinkman, Jon S Matsumura, Takao Ohki, Sara Zettervall, Shinji Miyamoto, Himanshu J Patel, Michael D Dake

Faculty, Staff and Students Publications

Objective: The pivotal trial 30-day outcomes of the GORE TAG Thoracic Branch Endoprosthesis in patients with endovascular repair of the aortic arch or descending thoracic aorta using a zone 0 or 1 landing zone were evaluated.

Methods: In this nonrandomized, multicenter, prospective study, the primary, clinically driven outcome was a composite of the following through 1 month: technical success (successful device deployment with maintenance of side-branch patency and the absence of aortic rupture), lesion-related mortality, disabling stroke, permanent paraplegia or paraparesis, new onset renal failure requiring permanent dialysis, and protocol-defined unanticipated reintervention.

Results: The 77 study patients enrolled had aneurysm …

Albuminuria As A Diagnostic Criterion And A Therapeutic Target In Heart Failure And Other Cardiovascular Disease

Faculty, Staff and Students Publications

The high disease burden and bidirectional relationship of chronic kidney disease (CKD), heart failure (HF) and other cardiovascular disease (CVD) necessitate the need for early diagnosis of these diseases. While current screening and detection methods are recommended by CKD and CVD guidelines, their adoption in practice is low. Urine albumin-to-creatinine ratio (uACR) is recognized as a diagnostic marker for CKD and a prognostic marker for CKD progression, HF and CVD outcomes, therefore albuminuria changes have been accepted as a surrogate outcome for kidney and cardiovascular endpoints. Furthermore, clinical trials investigating guideline-directed medical therapies have shown that uACR reductions are accompanied …

Management Of Patients With Heart Failure At High Risk Of Hyperkalaemia: The Care-Hk In Hf Registry, Biykem Bozkurt, Javed Butler, John G F Cleland, Andrew J S Coats, Nihar R Desai, Diederick E Grobbee, Ellie Kelepouris, Fausto Pinto, Giuseppe Rosano, Victoria Donachie, Solenn Fabien, Sandra Waechter, Maria G Crespo-Leiro, Martin Hülsmann, Tibor Kempf, Otmar Pfister, Anne-Catherine Pouleur, Manish Saxena, Martin Schulz, Maurizio Volterrani, Stefan D Anker, Mikhail N Kosiborod

Faculty, Staff and Students Publications

Aims: Patients with heart failure (HF) at high risk for hyperkalaemia are underrepresented in prospective HF registries. The CARE-HK in HF registry sought to characterize prospectively the clinical profile, management, and outcomes for patients with HF at high risk of hyperkalaemia.

Methods and results: CARE-HK in HF was a multinational prospective registry of outpatients with HF (regardless of left ventricular ejection fraction [LVEF]) treated with an angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker/angiotensin receptor-neprilysin inhibitor (ACEI/ARB/ARNI) and either receiving or potential candidate for a mineralocorticoid receptor antagonist (MRA). All patients were at increased risk of hyperkalaemia, defined as hyperkalaemia at baseline, …

Exploring Multimodal Large Language Models On Transthoracic Echocardiogram (Tte) Tasks For Cardiovascular Decision Support, Ahmed M Abdelhameed, Weiguo Cao, Haifang Li, Jianping He, Pengze Li, Jingna Feng, Yue Yu, Xinyue Hu, Manqi Li, Rakesh Kumar, Yifang Dang, Fang Li, Shahyar M Gharacholou, Cui Tao

Faculty, Staff and Student Publications

Objective: Multimodal large language models (LLMs) offer new potential for enhancing cardiovascular decision support, particularly in interpreting echocardiographic data. This study systematically evaluates and benchmarks foundation models from diverse domains on echocardiogram-based tasks to assess their effectiveness, limitations and potential in clinical cardiovascular applications.

Methods: We curated three cardiovascular imaging datasets-EchoNet-Dynamic, TMED2, and an expert-annotated echocardiogram (TTE) dataset-to evaluate performance on four critical tasks: (1) cardiac function evaluation through ejection fraction (EF) prediction, (2) cardiac view classification, (3) aortic stenosis (AS) severity assessment, and (4) cardiovascular disease classification. We evaluated six multimodal LLMs: EchoClip (cardiovascular-specific), BiomedGPT and LLaVA-Med (medical-domain), and …

Interface And Mechanical Properties Of 1d And 1d-2d Carbon Nanomaterials In Copper Matrix, Abigail L. Eaton, Arun K. Nair

Mechanical Engineering Faculty Publications and Presentations

Low-dimensional carbon nanomaterials have unique electron density distributions which warrant their classification as 1D and 2D, and they are useful for a wide variety of nanocomposite applications. This group includes 1D carbyne, which has high stiffness, and a 1D-2D hybrid composed of carbyne and a highly elastic cyclo[18] carbon ring (2D). We use density functional theory and molecular dynamics methods to study the interface properties of carbyne and the hybrid on Cu (111) surface and determine the mechanical properties of nanocomposites comprised of the nanomaterials as a fiber in Cu matrix at varying temperatures. We predict that on Cu (111) …

Spanish Heritage Speakers And Latinidad: How Spanish Fluency Influences Self-Perceived Latinidad Among Heritage Speakers, David Alejandro Rivera Sandoval, Gladys Valle

Undergraduate Theses and Capstone Projects

Abstract of Research: This study examines 1) how heritage speakers' self-perceived proficiency and fluency in Spanish influence their identity as Latinos, and 2) the generational similarities and differences in their lived experiences. Through surveys and interviews, the relationship between Spanish proficiency and fluency and perceived Latinidad among nine Spanish heritage speakers (with Latin American ancestry) has been assessed. The research suggests that no statistically significant relationship was found between language proficiency or fluency and perceived Latinismo. However, qualitative findings revealed that participants construct their Latino identity based on cultural values, lived experiences, and a sense of belonging rather than language …

Physicochemical Analysis Of Carbon-Containing Materials Obtained From Vulcanized Rubber Waste And Their Application As Filler Pigments, N.S. Baxranova, Sh.T. Jurayev, D.R. Muminova, Jurayev Shohruh Tulqinovich

Chemical Technology, Control and Management

The article presents the results of chemical and scanning electron microscopic analyses of the solid fraction of carbon-containing materials obtained through thermo-oxidative pyrolysis of vulcanized rubber waste. Elemental analysis of the solid product formed during high-temperature pyrolysis of rubber-technical products at 650–700 °C is provided. In addition, the potential use of the carbonaceous material as a pigment is examined. Raman spectroscopic analysis of worn automobile tires showed that their composition consists of approximately 80 wt.% C, 7 wt.% H, 0.4 wt.% N, 1.5 wt.% S, 3 wt.% O, and 8 wt.% inorganic substances.

Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov

Chemical Technology, Control and Management

Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.

Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev

Chemical Technology, Control and Management

This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity …

The Use Of Diagnostic And Restructuring Methods To Build Reliable Management Systems, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

This article is devoted to the applied analysis of diagnostic and restructuring methods aimed at ensuring the reliability of control systems in the event of failures. The paper considers practical implementations of diagnostic and control algorithms using a servo drive setup as an example. The results of experiments are presented, demonstrating the system's behavior under various fault conditions. A comparative analysis of the effectiveness of the proposed solutions is carried out in terms of stability and operational accuracy. The obtained data confirm the feasibility of using adaptive control structures to increase the fault tolerance of technical systems. The article concludes …

Spatio-Temporal Gcn With Softmax Classifier For Skeleton-Based Human Action Recognition, Kabul Khudaybergenov, Avazjon Marakhimov, Zahriddin Muminov

Chemical Technology, Control and Management

Skeleton-based human action recognition is an important research area with many practical applications. Most existing methods rely on single representations of skeletal sequences, which cannot totally obtain all the complex features of human movements. This paper presents LFHAR (Latent Features for Human Action Recognition), a new framework that uses multiple spatio-temporal latent representations to improve the extraction of action features. Our method captures how skeletal poses change over time and combines motion information from both individual joints and connected body parts. The proposed approach applies graph-based processing to each skeleton frame in a sequence, then arranges the resulting graph features …

Pocus: Presence, Observation, Connection, Understanding, Story., Sanjay A Patel

Medical Education Articles

No abstract provided.

Omahe Rak Usah Apik-Apik: Adequate Housing Problems Of The Urban Poor Along Railway Tracks, Syahwal -

The Indonesian Journal of Socio-Legal Studies

As urban development accelerates, urbanization has simultaneously grown as an inseparable phenomenon. However, beneath this transformation lies a crisis within the capitalist system known as overaccumulation, which has led to the marginalization of urban poor groups. This phenomenon results in the creation of slums, one of which is found in the periphery of railway tracks, where the urban poor reside. Semarang the capital of Central Java Province, Indonesia, is an apt example of such developments,. This study takes as starting point that the right to adequate housing is an integral part of human rights and addresses the issue of why …

“Flexing” And The Luxury Lifestyle: A Critique Of The “False Solidarity” Of Female Officials And Public Figures In Contemporary Indonesian Media, Wening Udasmoro, Leo Marai

The Indonesian Journal of Socio-Legal Studies

This study aims to explore the practice of “flexing” and the luxury lifestyle as represented in the media both through the self-representation of female public figures on their social media accounts and through coverage by mainstream outlets. These figures include actresses, entertainers, and other widely recognized social personalities. The research is urgent given that the public display of wealth and opulence disseminated through the media generates a domino effect within society, particularly in shaping consumption patterns and fueling an increasingly pervasive culture of consumerism in Indonesia. The proliferation of consumerist culture both reflects and exacerbates social inequality in Indonesia, where …

Improving Prescription Capture Rates Through A Standardized Meds To Beds Program At Parkview Heart Institute, Haley Michaud Pharmd, Tara Jellison, Katelyn Wees Pharmd, Sarah Ferrell Pharmd, Shery Grosjean Pharmd, Inderjit Ajimal

Pharmacy Residency

Background

Objectives

Spatio-Temporal Dynamics Of Malaria Vector Niche Overlaps In Africa, Eric Ali Ibrahim, John Odindi, Mark Wamalwa, Henri E.Z. Tonnang

All Peer-Reviewed Publications

Malaria remains a significant public health challenge in sub-Saharan Africa, with transmission heightened by the dynamics of primary and secondary mosquitoes infected with Plasmodium parasites. Regions where both vector types co-exist face heightened likelihood of intensified malaria transmission. Hence, understanding vectors' ecological interactions, especially their niche overlaps in geographic or environmental space, is crucial for targeted malaria control and elimination strategies. We employed a dynamic cellular automata (CA) model to map niche overlaps among primary (Anopheles gambiae complex, An. funestus group) and secondary (An. pharoensis, An. coustani) malaria vectors across African, using open-access environmental and vector occurrence datasets sourced from …

Climate-Driven Potential For Tularemia In East Africa: Skill Testing And Ecological Consistency Of A Transferred Risk Model, Komi Mensah Agboka, Allan Muohi Ngángá, Bonoukpoè Mawuko Sokame, Steve Soh Bernard Baleba, Tobias Landmann, Elfatih M. Abdel-Rahman, Chrysantus M. Tanga, Souleymane Diallo

All Peer-Reviewed Publications

Tularemia, a neglected zoonosis, remains underreported in Africa despite growing concern over its climate-driven expansion. This study aims to quantify the specific contribution of climate to tularemia risk using a climate attribution framework. We trained a Least Squares Dummy Variable (LSDV) fixed-effects panel model on United States (U.S.) county-level tularemia incidence data from 2011–2020 (n = 500, R² = 0.90), incorporating only climatic predictors: cumulative temperature, cumulative precipitation, and their respective variabilities. The climate-only model explained 86% of variance in the training data, demonstrating strong climate influence on tularemia disease dynamics. We then applied the model to East Africa, using …

Bridging The Gap: An Educational Intervention For The Early Introduction Of Peanut Protein In Pediatric Care, Rachel Gilson Dnp, Rnc-Ob, C-Onqs, Fnp-C, Parkview Health

Nursing Publications, Posters, & Presentations

Presented at the 6th Annual Parkview Nursing Research and Evidence-Based Practice Symposium. Theme: “From Paper to Practice: The Art of Implementation Science,” at the Parkview Mirro Center for Research and Innovation.

The primary aim of this Doctor of Nursing Practice (DNP) project was to improve provider adherence to the NIAID guidelines for the early introduction of peanut protein in infants under one year of age. The project intended to address identified knowledge and practice gaps through a targeted educational intervention at Fort Wayne Pediatrics (FWP).

Empowering Nursing Teams To Prevent Delirium, Caroline "Candy" Smead Dnp, Rn, Scrn

Nursing Publications, Posters, & Presentations

Project Aim: To empower nursing teams to reduce delirium by using an embedded evidence-based delirium prevention bundle.

Presented at the 6th Annual Parkview Nursing Research and Evidence-Based Practice Symposium. Theme: “From Paper to Practice: The Art of Implementation Science,” at the Parkview Mirro Center for Research and Innovation.

Carbon–Neutral Granular Filtration For Sustainable And Safe Rainwater Harvesting In Urban Malaysia, Mohammad Nur-E-Alam, Md Helal Uddin, Saurav Dixit, Boon Kar Yap, Mohammad Tariqul Islam, Nowshad Amin

Research outputs 2022 to 2026

This work aims to design a granular filter-based carbon–neutral rainwater treatment system. Granular filters are capable of cleaning rainwater while leaving a carbon–neutral trace to promote environmentally friendly rainwater collection techniques by examining the filtration performance and impact on the environment. The elimination of pollutants and impurities from collected rainwater through granular filters highlights the significance of meeting water quality requirements. The system uses three filters (F1, F2, and F3) for the treatment process where palm (oil) fruit shell-activated carbon, coconut shell-activated carbon, coarse sand, and fine sand are used as raw materials. The physicochemical quality of rainwater (harvested at …

Critical Young Consumers: What Types Of Porn Do Teens Watch, And Why?, Giselle Woodley, Marc Zen, Harrison W. See, Lelia Green

Research outputs 2022 to 2026

Pornography use by teens is of growing concern to parents and communities. There is, however, often little differentiation made between the types of contents being consumed or exploration of the types of pornography teens are watching and why. This paper interrogates data collected from 49 qualitative interviews, including 19 follow-up interviews and 4× focus groups with teens. This paper explores teens’ perspectives on the types of pornography accessed by themselves and their peers, and popular categories of pornography more widely. Teens appear to view various types and genres of pornography, as do adults. Some teens prefer ‘ethical’ sources of porn, …

Female Basketball Players’ Jump And Sprint Performance After Plyometric Jump Training Compared To Resistance Training, Yuhang Tian, Kai Xu, Wenxuan Fang, Rodrigo Ramirez-Campillo

Research outputs 2022 to 2026

Background: Plyometric training (PT) and resistance training (RT) can improve jumping and sprinting performance, although their comparative effectiveness in elite female basketball players remain unknown. Objectives: To compare the effects of PT and RT on jumping and sprinting performance in elite female basketball players. Methods: Thirty elite female basketball players were randomly assigned to PT (n = 10), RT (n = 10) or control groups (n = 10, standard basketball training). Performance assessments before and after the interventions (8 weeks, 16 training sessions) included countermovement jump (CMJ) height and peak power, drop jump (DJ) height and reactive strength index (RSI), …

Clinician-Led Development And Feasibility Of A Neural Network For Assessing 3d Dental Cavity Preparations Assisted By Conversational Ai, Mohammed El-Hakim, Haitham Khaled, Amr Fawzy, Robert Anthonappa

Research outputs 2022 to 2026

Introduction: Artificial intelligence is emerging in dental education, but its use in preclinical assessment remains limited. Large language models like ChatGPT^® V4.5 enable non-programmers to build AI models through real-time guidance, addressing the coding barrier. Aim: This study aims to empower clinician-led, low-cost, AI-driven assessment models in preclinical restorative dentistry and to evaluate the technical feasibility of using a neural network to score 3D cavity preparations. Methods: Twenty mandibular molars (tooth 46), each with two carious lesions, were prepared and scored by two expert examiners using a 20-point rubric. The teeth were scanned with a Medit i700^® and …

Multi-Criteria Decision-Making And Uncertainty Analyses Of Off-Grid Hybrid Renewable Energy Systems For An Island Community, Dibyendu Roy, Hadi Taghavifar, Kumar Vijayalakshmi Shivaprasad, Yaodong Wang, Barun K. Das, Anthony Paul Roskilly

Research outputs 2022 to 2026

This study examines advanced hybrid renewable energy system configurations designed for a remote island community. The configurations integrate multiple technologies, including wind turbines, photovoltaic panels, fuel cells, diesel generators, batteries, converters, electrolyzers, and hydrogen storage tanks, enabling a synergetic approach to energy generation, storage, and management. Excess electricity produced from the systems is utilized for battery charging and green hydrogen production, enhancing system flexibility and resilience. A detailed techno-economic and environmental assessment of the configurations was performed. Furthermore, the Technique for Order of Preference by Similarity to Ideal Solution based multicriteria decision-making framework was employed to identify the optimal configuration. …

Problems In Extremal Graph Theory And Spectral Graph Theory, Fareeha Jamal

Dissertations

Spectral graph theory is a subfield of algebraic graph theory that studies the matrices associated with graphs. It lives at the nexus of Linear Algebra and Combinatorics. Many intriguing results in the domains of Matrix Theory and Combinatorics have come from studying the eigenvalues of graph matrices; in fact, several open problems in both areas have been resolved. Beyond its theoretical appeal, spectral graph theory has found meaningful applications in theoretical chemistry, particularly in the mathematical classification of chemical graphs. These classifications underpin quantitative structure–property relationships (QSPRs), facilitating the prediction of physicochemical properties such as enthalpy of vaporization, molar refractivity, …

Rehabilitation Of Reinforced Concrete Columns Pre-Damaged By Corrosion Using Advanced Composite Materials, Feras Farid Abu Obaida

Dissertations

Reinforced concrete (RC) columns exposed to aggressive environments are highly susceptible to corrosion-induced deterioration, resulting in significant reductions in load-carrying capacity. This research investigates the structural performance of RC circular short columns with varying levels of corrosion damage and evaluates the effectiveness of two composite-based repair techniques, namely carbon fabric-reinforced cementitious matrix (C-FRCM) and carbon fiber-reinforced polymer (C-FRP) composites, combined with concrete cover replacement. The study aims to establish these methods as practical solutions for rehabilitating corrosion-damaged columns under concentric and eccentric loading conditions. The experimental program included 30 RC column specimens tested in two phases. Phase I involved thirteen …