Digital Commons Network^™

A114: Effect Of Four-Way Boxing Exercise On Cognitive Flexibility Of High School Students With Depression Tendency, Tongtong Hao

International Journal of Physical Activity and Health

Purpose: In recent years, depressive symptoms are more prominent than other psychological problems among Chinese high school students. Cognitive flexibility impairment is one of the important cognitive impairments in depression. The four-way boxing practice has the characteristics of rich content of action and various forms of practice.

Methods: This study used the method of literature, mathematical statistics, questionnaire and experiment, and four-way boxing practice as the intervention.

Results: The total score of the cognitive flexibility scale was negatively correlated with the scores of the self-rating depression scale (all P’s < 0.05). The cognitive flexibility of high depression prone high school students was significantly lower than that of low depression prone high school students. The results showed that: (1) In the self-rating depression scale, the total score of the experimental group was significantly lower than that of the pre-test (P < 0.05), but there was no significant change in the control group; (2) In the cognitive flexibility scale, the total score and the controllable subscale scores of the experimental group were significantly higher after the test than before the test (P < 0.05), and the scores of the selective subscale after the test were significantly higher than before the test (P < 0.05), but there were no significant changes in the control group; (3) In Stroop color word test, the post-test response of the experimental group was significantly lower than that of the pre-test (P < 0.05), while the control group had no significant change (P > 0.05); In the Wisconsin card test, the reaction time of the …

A120: Analyzing The Relationship Between Physical Fitness Test Results And Yplq Scores In Chinese Adolescents, Yuhan Jiang, Xiaotong Dai

International Journal of Physical Activity and Health

Background/Purpose: As the future pillars of the country, the physical fitness level of our junior high school students and high school deserves to receive attention as the cornerstone of their study and life. As a part of China's national physical fitness monitoring, student physical fitness monitoring can reflect the current situation of students' physical fitness and health in a more objective way. The Youth Physical Literacy Questionnaire (YPLQ), as a physical fitness assessment tool, can reflect the physical fitness of youth. In this study, descriptive statistics and correlation analyses were conducted to investigate the correlation between the physical fitness scores …

A128: Research On Safety Risk Management Of Youth Short-Term Swimming Training, Donghua Zhou

International Journal of Physical Activity and Health

Purpose: Through the investigation and analysis of the current situation of safety risk management in short-term swimming training for teenagers, to put forward strategies and suggestions for risk prevention and risk management, to improve the awareness of safety risk prevention of swimming training managers, instructors and participants.

Methods: Literature analysis, interview, questionnaire and mathematical statistics were used.

Results: It was discovered that there were many security risks in the management of short-term swimming training for teenagers: (1) There are security risks in the management of swimming venues and facilities. (2) The lifeguard qualifications do not meet the required standards. (3) …

A163: Analysis And Prospects Of Youth Sports For The Disabled In China, Ruifeng Ni

International Journal of Physical Activity and Health

Purpose: Based on the White Paper on the Development of Sports and Protection of the Rights of the Disabled in China published by the Information Office of the State Council, and referencing the Opinions of the Ministry of Education on Deepening the Integration of Physical Education and Sport and Promoting the Healthy Development of Young People, this paper investigated the current state of sports participation among young people with disabilities in China. It analyzed the challenges hindering its development and proposed solutions.

Methods: This study examined youth with disabilities, their caregivers, and families across five provinces and cities, including Jinhua …

Service Provider Perceptions Of Systems Serving Individuals Experiencing Homelessness: A Needs Assessment And Strategic Plan In Johnson City, Tn, Opal Frye-Clark

Electronic Theses and Dissertations

This Integrated Learning Experience (ILE) investigates service providers' perceptions of Johnson City, Tennessee's homelessness services, aiming to inform a city-wide strategic plan for reduction. Employing a mixed-methods approach, the study gathered qualitative data through in-depth interviews with service providers in 2022 and quantitative data via a 2024 survey. The research focused on those directly involved in serving or significantly influencing the lives of individuals experiencing homelessness (IEH). Three key aims guided the investigation: (1) To analyze provider perspectives to identify community assets, opportunities, barriers, and unmet needs, informing a comprehensive needs assessment; (2) To refine these findings through SWOT analysis …

Modelling Tinnitus Functional Index Reduction Using Supervised Machine Learning Algorithms, Edmund F. Agyemang

School of Mathematical & Statistical Sciences Faculty Publications

This study aims to model the reduction in the Tinnitus Functional Index (TFI) utilizing supervised machine learning algorithms, focusing primarily on Ordinary Least Squares (OLS), K-Nearest Neighbor (KNN), Ridge, and Lasso regressions. Our analysis highlighted Group, ISI, and SWLS as significant predictors of TFI reduction, identified through the best subset selection and confirmed by both forward and backward selection criteria in the OLS regression. Notably, the shrinkage methods, Ridge and Lasso regressions, demonstrated superior performance compared to OLS and KNN, with the Ridge regression presenting the smallest test mean square error (MSE) of 318.30. This finding establishes the Ridge regression …

Physicochemical Property Effects On Immune Modulating Polymeric Nanoparticles: Potential Applications In Spinal Cord Injury, Daniel J. Kolpek, Jaechang Kim, Hisham Mohammed, John C. Gensel, Jonghyuck Park

Markey Cancer Center Faculty Publications

Nanoparticles (NPs) offer promising potential as therapeutic agents for inflammation-related diseases, owing to their capabilities in drug delivery and immune modulation. In preclinical studies focusing on spinal cord injury (SCI), polymeric NPs have demonstrated the ability to reprogram innate immune cells. This reprogramming results in redirecting immune cells away from the injury site, downregulating pro-inflammatory signaling, and promoting a regenerative environment post-injury. However, to fully understand the mechanisms driving these effects and maximize therapeutic efficacy, it is crucial to assess NP interactions with innate immune cells. This review examines how the physicochemical properties of polymeric NPs influence their modulation of …

The Life And Discoveries Of Yellapragada Subbarow, Nikhil R, Varuni Pragya, Subramanian Ramaswamy, Shiva Prasad B N, Mahabaleshwar Mamadapur

Digital Journal of Clinical Medicine

Dr. Yellapragada Subbarow was a researcher, teacher, and a wizard of wonder drugs who constantly made efforts in the discoveries/ inventions such as vitamins, anti-vitamins, antibiotics, and many more by disentangling the mysteries of nature for the betterment of the people. He inspired the youngsters to take up the challenges and to stand up above mediocrity. The reward for his achievement was delayed. The article describes a true humanist's journey, discoveries, and his achievements that are largely unknown to date.

Three Decades Of Rat Genomics: Approaching The Finish(Ed) Line, Theodore S Kalbfleisch, Melissa L Smith, Julia L Ciosek, Kai Li, Peter A Doris

The Brown Foundation: Institute of Molecular Medicine

The rat, Rattus norvegicus, has provided an important model for investigation of a range of characteristics of biomedical importance. Here we survey the origins of this species, its introduction into laboratory research, and the emergence of genetic and genomic methods that utilize this model organism. Genomic studies have yielded important progress and provided new insight into several biologically important traits. However, some studies have been impeded by the lack of a complete and accurate reference genome for this species. New sequencing and genome assembly methods applied to the rat have resulted in a new reference genome assembly, GRCr8, which …

Assessing Sedimentation Impact Through Dem, Point Cloud, And Discharge Analysis, Shandell Thomas

Open Access Theses & Dissertations

This study focused on five arroyos flowing into the Rio Grande, in the stretch between Caballo Dam and Las Cruces, New Mexico. Drone imagery was acquired from study areas in each arroyo. Photogrammetry was used to create high-resolution digital elevation models (DEMs), point clouds, drone imagery and potential discharges were acquired for each arroyo. Investigation of seven different methods resulted in the selection of the Terrain Ruggedness Map (TRM) as a predictor of surface roughness, along with high-resolution DEMâ??s to illustrate small and low-relief channel features. The five arroyos with varying sediment sizes and characteristics were studied to understand how …

Policies And Price Controls On The Research And Development Of Orphan Drugs In The United States And The European Union, Bena Pearl Filipczak Smith

Master's Theses

There is substantive literature surrounding the impact of price controls on the research and development (R&D) of new pharmaceutical products. The European Union (EU) and United States (US) are often studied in contrast to examine the influence of price controls as the US has fewer pharmaceutical price controls than the EU.

We find moderate evidence that the US spent more on annual domestic pharmaceutical R&D than the EU between 2004 and 2021, on average, before and after adjusting for GDP growth per capita and year. We find strong evidence that the US increased annual domestic R&D spending at a faster …

Whole Exome-Seq And Rna-Seq Data Reveal Unique Neoantigen Profiles In Kenyan Breast Cancer Patients, Godfrey Wagutu, John Gitau, Kennedy Mwangi, Mary Murithi, Elias Melly, Alexandra R. Harris, Shahin Sayed, Stefan Ambs, Francis Makokha

Pathology, East Africa

Background: The immune response against tumors relies on distinguishing between self and non-self, the basis of cancer immunotherapy. Neoantigens from somatic mutations are central to many immunotherapeutic strategies and understanding their landscape in breast cancer is crucial for targeted interventions. We aimed to profile neoantigens in Kenyan breast cancer patients using genomic DNA and total RNA from paired tumor and adjacent non-cancerous tissue samples of 23 patients.

Methods: We sequenced the genome-wide exome (WES) and RNA, from which somatic mutations were identified and their expression quantified, respectively. Neoantigen prediction focused on human leukocyte antigens (HLA) crucial to cancer, HLA type …

Experiences In Providing A Community Educational Resource For The All Of Us Researcher Workbench, Deborah I Ritter, Jinyoung Byun, Jun Wang, Stephen Richards, Pamela N Luna, Laterrica Williams, Julie R Coleman, Jasmine N Baker, Shamika Ketkar, Ashley M Butler, Latanya Hammonds-Odie, Elizabeth G Atkinson, Kim C Worley, Debra D Murray, Brendan Lee, Steven E Scherer

Faculty, Staff and Students Publications

OBJECTIVE: Educational offerings to fill the bioinformatics knowledge gap are a key component to enhancing access and use of health data from the All of Us Research Program. We developed a Train the Trainer-based, innovative training series including project-based learning, modular on-demand demonstrations, and unstructured tutorial time as a model for educational engagement in the All of Us community.

MATERIALS AND METHODS: We highlight our training modules and content, with training survey data informing cycles of development in the creation of a 6-module training series with modular demonstrations.

RESULTS: We have conducted 2 public iterations of the Train the Trainer …

Artificial Intelligence And Machine Learning In Cancer Pain: A Systematic Review, Vivian Salama, Brandon Godinich, Yimin Geng, Laia Humbert-Vidan, Laura Maule, Kareem A Wahid, Mohamed A Naser, Renjie He, Abdallah S R Mohamed, Clifton D Fuller, Amy C Moreno

Faculty, Staff and Student Publications

Background/objectives: Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer.

Methods: A comprehensive search of Ovid MEDLINE, EMBASE and Web of Science databases was conducted using terms: "Cancer," "Pain," "Pain Management," "Analgesics," "Artificial Intelligence," "Machine Learning," and "Neural Networks" published up to September 7, 2023. AI/ML models, their validation and performance were summarized. Quality assessment was conducted using PROBAST risk-of-bias andadherence to TRIPOD guidelines.

Results: Forty four studies from 2006 to 2023 were included. Nineteen studies used …

Explainable Artificial Intelligence And Domain Adaptation For Predicting Hiv Infection With Graph Neural Networks, Evan Yu, Jingcheng Du, Yang Xiang, Xinyue Hu, Jingna Feng, Xi Luo, John A Schneider, Degui Zhi, Kayo Fujimoto, Cui Tao

Faculty, Staff and Student Publications

OBJECTIVE: Investigation of explainable deep learning methods for graph neural networks to predict HIV infections with social network information and performing domain adaptation to evaluate model transferability across different datasets.

METHODS: Network data from two cohorts of younger sexual minority men (SMM) from two U.S. cities (Chicago, IL, and Houston, TX) were collected between 2014 and 2016. Feature importance from graph attention network (GAT) models were determined using GNNExplainer. Domain adaptation was performed to examine model transferability from one city dataset to the other dataset, training with 100% of the source dataset with 30% of the target dataset and prediction …

A Shared Mechanism For Tnp-Atp Recognition By Members Of The P2x Receptor Family, Xiao-Bo Ma, Chen-Xi Yue, Yan Liu, Yang Yang, Jin Wang, Xiao-Na Yang, Li-Dong Huang, Michael X Zhu, Motoyuki Hattori, Chang-Zhu Li, Ye Yu, Chang-Run Guo

Faculty, Staff and Student Publications

P2X receptors (P2X1-7) are non-selective cation channels involved in many physiological activities such as synaptic transmission, immunological modulation, and cardiovascular function. These receptors share a conserved mechanism to sense extracellular ATP. TNP-ATP is an ATP derivative acting as a nonselective competitive P2X antagonist. Understanding how it occupies the orthosteric site in the absence of agonism may help reveal the key allostery during P2X gating. However, TNP-ATP/P2X complexes (TNP-ATP/human P2X3 (hP2X3) and TNP-ATP/chicken P2X7 (ckP2X7)) with distinct conformations and different mechanisms of action have been proposed. Whether these represent species and subtype variations or experimental differences remains unclear. Here, we show …

Asthma Prevalence Among United States Population Insights From Nhanes Data Analysis, Sarya Swed, Bisher Sawaf, Feras Al-Obeidat, Wael Hafez, Amine Rakab, Hidar Alibrahim, Mohamad Nour Nasif, Baraa Alghalyini, Abdul Rehman Zia Zaidi, Lamees Alshareef, Fadel Alqatati, Fathima Zamrath Zahir, Ashraf I. Ahmed, Mulham Alom, Anas Sultan, Abdullah Almahmoud, Agyad Bakkour, Ivan Cherrez-Ojeda

All Works

Asthma is a prevalent respiratory condition that poses a substantial burden on public health in the United States. Understanding its prevalence and associated risk factors is vital for informed policymaking and public health interventions. This study aims to examine asthma prevalence and identify major risk factors in the U.S. population. Our study utilized NHANES data between 1999 and 2020 to investigate asthma prevalence and associated risk factors within the U.S. population. We analyzed a dataset of 64,222 participants, excluding those under 20 years old. We performed binary regression analysis to examine the relationship of demographic and health related covariates with …

Artificial Intelligence Uncertainty Quantification In Radiotherapy Applications – A Scoping Review, Kareem A Wahid, Zaphanlene Y Kaffey, David P Farris, Laia Humbert-Vidan, Amy C Moreno, Mathis Rasmussen, Jintao Ren, Mohamed A Naser, Tucker J Netherton, Stine Korreman, Guha Balakrishnan, Clifton D Fuller, David Fuentes, Michael J Dohopolski

Faculty, Staff and Student Publications

Background/purpose: The use of artificial intelligence (AI) in radiotherapy (RT) is expanding rapidly. However, there exists a notable lack of clinician trust in AI models, underscoring the need for effective uncertainty quantification (UQ) methods. The purpose of this study was to scope existing literature related to UQ in RT, identify areas of improvement, and determine future directions.

Methods: We followed the PRISMA-ScR scoping review reporting guidelines. We utilized the population (human cancer patients), concept (utilization of AI UQ), context (radiotherapy applications) framework to structure our search and screening process. We conducted a systematic search spanning seven databases, supplemented by manual …

Development And Testing The Predictability Of An Instrument Based On The Multi- Theory Model (Mtm) Of Health Behavior Change For Pre-Exposure Prophylaxis (Prep) Uptake Among People Of Color, Siddharth Raich

UNLV Theses, Dissertations, Professional Papers, and Capstones

HIV/AIDS continues to be a significant public health problem in the US and globally. In the US, it disproportionately affects people of color. In 2012, Pre-exposure Prophylaxis (PrEP) was approved by the FDA for HIV prevention. PrEP reduces the chances of acquiring HIV by 99% among people at high risk. However, PrEP uptake among people of color remains low. Therefore, this study aimed to develop and test the predictability of an instrument to describe the intent to initiate and sustain PrEP use among people of color. This research utilized an exploratory sequential mixed methods design based on the fourth-generation, multi-theory …

Polarimetry Terahertz Imaging Of Human Breast Cancer Surgical Specimens, Nikita Gurjar, Keith Bailey, Magda O. El-Shenawee

Electrical Engineering and Computer Science Faculty Publications and Presentations

Purpose

We investigate terahertz (THz) polarimetry imaging of seven human breast cancer surgical specimens. The goal is to enhance image contrast between adjacent tissue types of cancer, healthy collagen, and fat in excised breast tumors. Based on the biological perception of random growth of cancer and invasion of surrounding healthy tissues in the breast, we hypothesize that cancerous cells interact with the THz electric field in a different manner compared with healthy cells. This difference can be best captured using multiple polarizations instead of single polarization.

Approach

Time domain pulsed signals are experimentally collected from each pixel of the specimen …

Prevalence Of Autism Spectrum Characteristics In Students Taking Undergraduate Computing Courses, Rachel Michaela Mettenbrink

School of Computing: Dissertations, Theses, and Student Research

The incidence rate of autism spectrum condition (ASC) has increased significantly in recent decades, as awareness of the condition and its impacts increases amongst clinicians, parents, and the general population. Medical literature has proposed that there may be a relationship between ASC and participation in the computing field. This study tests for the prevalence of autism spectrum condition traits measured by delivering the Autism Spectrum Quotient (AQ) to a population of undergraduate computer science students. We examine the relationships between AQ scores and students taking undergraduate computer science classes, sex, socioeconomic status, and parents in the computing industry. Additionally, we …

From Pasture To Plate: Striking An Omega Balance Between Grass-Fed And Grain-Fed Beef Ribeyes - Fatty Acid Composition, Minerals, Soil, And Forage Analysis, Travis Earl Statham

All Graduate Theses and Dissertations, Fall 2023 to Present

Most beef cattle in the US are feedlot-finished where intensive feeding of grains is used to increase weight and yield; however, a minority are raised in grass-fed operations that use exclusive pasture, rangeland, and hay for feeding, possibly leading to benefits for the land, soil, ecosystems, forages, and the meat itself. These operations use a variety of methods, and the goal of this was to recognize differences in the soil and forage metrics to help understand the resulting meat fatty acid composition and mineral content. We collected these samples from 78 sets of farmers while testing 25 sets of grain-fed …

Synthesis Of Photocleavable Molecules For Neurological Applications, Nishal Madujith Egodawaththa Arachchilage Don

Theses and Dissertations

In recent biomedical research, the precise control of molecular dynamics through light activation has emerged as a powerful tool, particularly in the field of neurobiology. This approach involves the use of photocleavable cages or photoprotective groups (PPGs) that are chemically tethered to biologically active molecules such as neurotransmitters or calcium chelators. These cages remain inert until exposed to specific wavelengths of light, typically in the visible range, triggering the release of the active compound with high spatiotemporal precision.

For neurotransmitter systems, such as glutamate (Glu), which plays a critical role in synaptic transmission and memory formation, researchers have developed novel …

A Hybrid Approach Of Vision Transformers And Cnns For Detection Of Ulcerative Colitis, Syed Abdullah Shah, Imran Taj, Syed Muhammad Usman, Syed Nehal Hassan Shah, Ali Shariq Imran, Shehzad Khalid

All Works

Ulcerative Colitis is an Inflammatory Bowel disease caused by a variety of factors that lead to a serious impact on the quality of life of the patients if left untreated. Due to complexities in the identification procedures of this disease, the treatment timeline and quality can be severely affected, leading to further consequences for the sufferer. The difficulties in identification are due to high patients to healthcare professionals ratio. Researchers have proposed variety of machine/deep learning methods for automated detection of ulcerative colitis, however, several challenges exists including class imbalance problem, comprehensive feature extraction and accurate classification. We propose a …

The Learning Crisis: Three Years After Covid-19, Tomasz Gajderowicz, Maciej Jakubowski, Alec Kennedy, Christian Christrup Kjeldsen, Harry Anthony Patrinos, Rolf Strietholt

Education Reform Faculty and Graduate Students Publications

The COVID-19 pandemic caused widespread disruptions to education, with school closures affecting over one billion children. These closures, aimed at reducing virus transmission, resulted in significant learning losses, particularly in mathematics and science. Using data from TIMSS 2023, which assesses fourth and eighth-grade achievements across 71 education systems, this study analyzes the impact of school closure duration on learning outcomes. Mixed-effect models estimate deviations from pre-pandemic trends, adjusting for demographic factors. Results show a global average decline of 0.11 standard deviations (SD) in student achievement, with longer closures linked to more severe losses. The effects on low performers, girls, and …

Chatgpt Vs Expert-Guided Care Pathways For Postesophagectomy Symptom Management, Mohamad K Abou Chaar, Giovanna Grigsby-Rocca, Ming Huang, Shanda H Blackmon

Faculty, Staff and Student Publications

BACKGROUND: The objective of this study was to compare generative artificial intelligence-initiated care pathways, using ChatGPT, with expert-guided consensus-initiated care pathways from AskMayoExpert (AME) for symptom management of esophageal cancer patients after esophagectomy.

METHODS: A formal protocol for development of 9 AME care pathways was followed for specific patient-identified domains after esophagectomy for esophageal cancer. Domain scores were measured and assessed through the Upper Digestive Disease tool. These care pathways were developed by experts validated by a consensus-driven methodology. ChatGPT was used to answer specific questions similar to the AME care pathway on April 9, 2023, and March 28, 2024. …

Addressing Ethical Issues In Healthcare Artificial Intelligence Using A Lifecycle-Informed Process, Benjamin X Collins, Jean-Christophe Bélisle-Pipon, Barbara J Evans, Kadija Ferryman, Xiaoqian Jiang, Camille Nebeker, Laurie Novak, Kirk Roberts, Martin Were, Zhijun Yin, Vardit Ravitsky, Joseph Coco, Rachele Hendricks-Sturrup, Ishan Williams, Ellen W Clayton, Bradley A Malin, Bridge2ai Ethics And Trustworthy Ai Working Group

Faculty, Staff and Student Publications

OBJECTIVES: Artificial intelligence (AI) proceeds through an iterative and evaluative process of development, use, and refinement which may be characterized as a lifecycle. Within this context, stakeholders can vary in their interests and perceptions of the ethical issues associated with this rapidly evolving technology in ways that can fail to identify and avert adverse outcomes. Identifying issues throughout the AI lifecycle in a systematic manner can facilitate better-informed ethical deliberation.

MATERIALS AND METHODS: We analyzed existing lifecycles from within the current literature for ethical issues of AI in healthcare to identify themes, which we relied upon to create a lifecycle …

Analytical Solutions For Acoustic Vortex Beam Radiation From Planar And Spherically Focused Circular Pistons, Chirag A Gokani, Michael R Haberman, Mark F Hamilton

Faculty, Staff and Student Publications

Analytical solutions for acoustic vortex beams radiated by sources with uniform circular amplitude distributions are derived in the paraxial approximation. Evaluation of the Fresnel diffraction integral in the far field of an unfocused source and in the focal plane of a focused source leads to solutions in terms of an infinite series of Bessel functions for orbital numbers ℓ>-2. These solutions are reduced to closed forms for 0≤ℓ≤4, which correspond to orbital numbers commonly used in experiments. A scaling law for the vortex ring radius is derived, and its relevance is characterized using ray theory.

Tumor Expression Of Cd83 Reduces Glioma Progression And Is Associated With Reduced Immunosuppression, Malcolm F Mcdonald, Rachel Naomi Curry, Isabella O'Reilly, Brittney Lozzi, Alexis Cervantes, Zhung-Fu Lee, Anna Rosenbaum, Peihao He, Carrie Mohila, Arif O Harmanci, Akdes Serin Harmanci, Benjamin Deneen, Ganesh Rao

Faculty, Staff and Student Publications

Immunosuppression in malignant glioma remains a barrier to therapeutic development. CD83 overexpression in human and mouse glioma increases survival. CD83+ tumor cells promote signatures related to cytotoxic T cells, enhanced activation of CD8+ T cells, and increased proinflammatory cytokines. These findings suggest that tumor-expressed CD83 could mediate tumor-immune communications.

Development Of A New Peyronie’S Disease Self-Assessment Screening App, Gregory A Broderick, Jesse N Mills, Lisa Bathish, Christopher Davis, Mohit Khera

Faculty, Staff and Students Publications

Peyronie's disease (PD) is an underdiagnosed and undertreated fibroproliferative disorder associated with the formation of plaques that results in penile curvature and discourages some men from seeking medical consultation. The PD self-assessment app, a digital application (app), was developed to increase PD awareness, provide men with a self-screening and educational tool for PD, and help eliminate barriers to seeking consultation with a physician. Prior to deployment, 4 board-certified urologists provided qualitative reviews on the app's usability and utility as a screening tool. The PD self-assessment app features a questionnaire that addresses penile curvature, challenges with penetration, partner distress, and the …