Digital Commons Network^™

Neurotechnological Solutions For Post‐Traumatic Stress Disorder: A Perspective Review And Concept Proposal, R Laugharne, M Farid, C James, A Dutta, Et Al

Peninsula Medical School

Post-traumatic stress disorder (PTSD) is an anxiety condition caused by exposure to severe trauma. It is characterised by nightmares, flashbacks, hyper-vigilance and avoidance behaviour. These all lead to impaired functioning reducing quality of life. PTSD affects 2–5% of the population globally. Most sufferers cannot access effective treatment, leading to impaired psychological functioning reducing quality of life. Eye movement desensitisation and reprocessing (EMDR) is a non-invasive brain stimulation treatment that has shown significant clinical effectiveness in PTSD. Another treatment modality, that is, trauma-focused cognitive behavioural therapy is also an effective intervention. However, both evidence-based treatments are significantly resource intensive as they …

Abcb5+ Mesenchymal Stromal Cells Therapy Protects From Hypoxia By Restoring Ca2+ Homeostasis In Vitro And In Vivo, Kaixuan Yan, Jiaxing Zheng, Mark Andreas Kluth, Lin Li, Christoph Ganss, Benito Yard, Richard Magdeburg, Markus H. Frank, Prama Pallavi, Michael Keese

Research outputs 2022 to 2026

Background:

Hypoxia in ischemic disease impairs Ca²⁺ homeostasis and may promote angiogenesis. The therapeutic efficacy of mesenchymal stromal cells (MSCs) in peripheral arterial occlusive disease is well established, yet its influence on cellular Ca²⁺ homeostasis remains to be elucidated. We addressed the influence of ATP-binding cassette subfamily B member 5 positive mesenchymal stromal cells (ABCB5⁺ MSCs) on Ca²⁺ homeostasis in hypoxic human umbilical vein endothelial cells (HUVECs) in vitro and in vivo.

Methods:

Hypoxia was induced in HUVECs by Cobalt (II) chloride (CoCl₂) or Deferoxamine (DFO). Dynamic changes in the cytosolic- and endoplasmic reticulum …

Longitudinal Association Of Remnant Cholesterol With Joint Arteriosclerosis And Atherosclerosis Progression Beyond Ldl Cholesterol, Zhiyuan Wu, Jinqi Wang, Haiping Zhang, Huiying Pan, Zhiwei Li, Yue Liu, Xinlei Miao, Ze Han, Xiaoping Kang, Xia Li, Xiuhua Guo, Lixin Tao, Wei Wang

Research outputs 2022 to 2026

Background: Arteriosclerosis and atherosclerosis are closely related with cardiovascular disease (CVD) risk. Remnant cholesterol (RC) could predict CVD. However, its effect on joint arteriosclerosis and atherosclerosis progression remains unclear. This study aims to evaluate the association of RC with joint arteriosclerosis and atherosclerosis progression trajectories in the general population. Methods: This study collected data across five biennial surveys of the Beijing Health Management Cohort from 2010 to 2019. Multi-trajectory model was used to determine the joint arteriosclerosis and atherosclerosis progression patterns by brachial-ankle pulse wave velocity (baPWV) and ankle brachial index (ABI). We also performed discordance analyses for RC vs. …

Frailty And Pain In An Acute Private Hospital: An Observational Point Prevalence Study, Rosemary Saunders, Kate Crookes, Karla Seaman, Seng Giap Marcus Ang, Caroline Bulsara, Max K. Bulsara, Beverley Ewens, Olivia Gallagher, Renée Graham, Karen Gullick, Sue Haydon, Jeff Hughes, Kim-Huong Nguyen, Bev O’Connell, Debra Scaini, Christopher Etherton-Beer

Research outputs 2022 to 2026

Frailty and pain in hospitalised patients are associated with adverse clinical outcomes. However, there is limited data on the associations between frailty and pain in this group of patients. Understanding the prevalence, distribution and interaction of frailty and pain in hospitals will help to determine the magnitude of this association and assist health care professionals to target interventions and develop resources to improve patient outcomes. This study reports the point prevalence concurrence of frailty and pain in adult patients in an acute hospital. A point prevalence, observational study of frailty and pain was conducted. All adult inpatients (excluding high dependency …

Alzheimer’S Disease Genetic Risk And Cognitive Reserve In Relationship To Long-Term Cognitive Trajectories Among Cognitively Normal Individuals, Corinne Pettigrew, Jurijs Nazarovs, Anja Soldan, Vikas Singh, Jiangxia Wang, Timothy Hohman, Logan Dumitrescu, Julia Libby, Brian Kunkle, Alden L. Gross, Sterling Johnson, Qiongshi Lu, Corinne Engelman, Colin L. Masters, Paul Maruff, Simon M. Laws, John C. Morris, Jason Hassenstab, Carlos Cruchaga, Susan M. Resnick, Melissa H. Kitner-Triolo, Yang An, Marilyn Albert

Research outputs 2022 to 2026

Background:

Both Alzheimer’s disease (AD) genetic risk factors and indices of cognitive reserve (CR) influence risk of cognitive decline, but it remains unclear whether they interact. This study examined whether a CR index score modifies the relationship between AD genetic risk factors and long-term cognitive trajectories in a large sample of individuals with normal cognition.

Methods:

Analyses used data from the Preclinical AD Consortium, including harmonized data from 5 longitudinal cohort studies. Participants were cognitively normal at baseline (M baseline age = 64 years, 59% female) and underwent 10 years of follow-up, on average. AD genetic risk was measured by …

Training For “Worst-Case” Scenarios In Sidestepping: Unifying Strength And Conditioning And Perception–Action Approaches, Daniel Kadlec, Matt Miller-Dicks, Sophia Nimphius

Research outputs 2022 to 2026

Sidesteps can impose high demands on the knee joint and lead to non-contact anterior cruciate ligament (ACL) injuries. Understanding how different constraints shape an athlete’s movement strategy and the associated joint demands can help design training interventions to increase injury resilience. Motor capacities, such as muscular strength and power, act as boundaries for the safe execution of perceptual–motor skills and co-determine the emergence of unique movement strategies. Increasing single- and multi-joint strength enables a broader solution space for movement strategies and increases load tolerance. Manipulating task constraints during sidesteps can be used in the training process to systematically expose athletes …

Change In Habitual Intakes Of Flavonoid-Rich Foods And Mortality In Us Males And Females, Nicola P. Bondonno, Yan Lydia Liu, Yan Zheng, Kerry Ivey, Walter C. Willett, Meir J. Stampfer, Eric B. Rimm, Aedín Cassidy

Research outputs 2022 to 2026

Background: Higher baseline intakes of flavonoid-rich foods and beverages are associated with a lower risk of chronic disease and mortality in observational studies. However, associations between changes in intakes and mortality remain unclear. We aimed to evaluate associations between 8-year changes in intakes of (1) individual flavonoid-rich foods and (2) a composite measure (termed the ‘flavodiet’) of foods and beverages that are known to be main contributors to flavonoid intake and subsequent total and cause-specific mortality. Methods: We evaluated associations between 8-year changes in intakes of (1) individual flavonoid-rich foods and (2) a novel ‘flavodiet’ score and total and cause-specific …

Large Multi-Ethnic Genetic Analyses Of Amyloid Imaging Identify New Genes For Alzheimer Disease, Muhammad Ali, Derek B. Archer, Priyanka Gorijala, Daniel Western, Jigyasha Timsina, Maria V. Fernández, Ting Chen Wang, Claudia L. Satizabal, Qiong Yang, Alexa S. Beiser, Ruiqi Wang, Gengsheng Chen, Brian Gordon, Tammie L.S. Benzinger, Chengjie Xiong, John C. Morris, Randall J. Bateman, Celeste M. Karch, Eric Mcdade, Alison Goate, Sudha Seshadri, Richard P. Mayeux, Reisa A. Sperling, Rachel F. Buckley, Keith A. Johnson, Hong-Hee Won, Sang-Hyuk Jung, Hang-Rai Kim, Sang W. Seo, Hee J. Kim, Elizabeth Mormino, Simon M. Laws, Kang-Hsien Fan, M. Ilyas Kamboh, Prashanthi Vemuri, Vijay K. Ramanan, Hyun-Sik Yang, Allen Wenzel, Hema S. R. Rajula, Aniket Mishra, Carole Dufouil, Stephanie Debette, Oscar L. Lopez, Steven T. Dekosky, Feifei Tao, Michael W. Nagle, Timothy J. Hohman, Yun J. Sung, Logan Dumitrescu, Carlos Cruchaga, Knight Alzheimer Disease Research Center (Knight Adrc), The Dominantly Inherited Alzheimer Network (Dian), Alzheimer's Disease Neuroimaging Initiative (Adni), Adni-Dod, A4 Study Team, The Australian Imaging Biomarkers, Lifestyle (Aibl) Study

Research outputs 2022 to 2026

Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (AB) deposits in the brain and to study Alzheimer’s disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE 4; rs429358; = 0.35, SE = 0.01, P = 6.2 × 10–311, MAF = 0.19), driven by APOE 4, and five additional novel associations (APOE 2/rs7412; rs73052335/rs5117, rs1081105, …

Conducting Participatory Research Methods Online: A How-To Guide, Brittany Arthur, Batsheva Guy, Nancy Rogers

i.e.: inquiry in education

The pandemic challenged many of us as researchers, requiring that we reflect upon our methods and make modifications to allow for online facilitation. As researchers who traditionally use Participatory Research Methods (PRMs), we were significantly challenged, to reflect on our approach and the ways in which we may remain true to the spirit of PRMs. Through this article, we provide an overview of how we modified two PRMs, Group Level Assessment (GLA) and Photovoice. Additionally, we provide a debrief on the aspects of PRMs we intentionally reflected on as part of our modification process; in particular, how we upheld and …

Gr-397 Conceptualizing A Toc-Enhanced Chatbot: Pattern Recognition And Interaction, Sumaiya Tasneem, Sharon Elugoti, Chinni Cherrishma Reddy Aduri, Purna Pavan Kumar Kolli, Krishna Vamsi Anche

C-Day Computing Showcase

A chatbot is a software which is capable of communicating with human by using natural language processing. In our project, we plan to develop a Python-based chatbot that integrates theory of computation (TOC) concepts, including finite automata and regular expressions. The chatbot will interact with users, recognizing patterns and keywords in their inputs. We’ll begin by defining initial regular expressions for basic user interactions including greetings and inquiries.Future developments may enhance regular expressions and broaden the chatbot’s TOC-related capabilities, creating a versatile educational tool with practical TOC applications.

Gr-453 Medical Records Summarization Using Prompt-Based Nlp, Rawan Masadeh, Nicholas S Servies

C-Day Computing Showcase

In this paper, we present an innovative Natural Language Processing (NLP) algorithm for summarizing medical records extracted from the MIMIC-IV dataset using state-of-the-art (SOTA) techniques in text summarization. The increasing volume of electronic health records (EHRs) demands efficient methods for extracting meaningful insights from these complex and extensive documents. Our algorithm leverages recent advancements in NLP, including transformer-based models, to automate summarizing medical records while preserving critical information. Our algorithm is trained and tested using the Medical Information Mart for Intensive Care (MIMIC)-IV database that provides critical care data for over 40,000 patients admitted to intensive care units at the …

Egr-490 Importance Of Food Recognition On Blood Glucose Monitoring, Afnan Crystal

C-Day Computing Showcase

Maintaining blood sugar under control requires eating a healthy and balanced diet, exercising, and adhering to medications. Dietary consumption must be under strict control for diabetic patients’ general health. Traditional techniques for monitoring dietary consumption include recollection and manual record-keeping, which can be tedious and prone to mistakes. However, automated technologies for maintaining records that make use of computer vision, such as food image recognition systems, can streamline chronic health management for diabetics. These solutions seek to efficiently track daily food intake and consequential calories to facilitate and encourage lifestyle improvements. With this goal in mind, we design a Machine …

Gr-496 Cardiac Arrest Prediction Model, Vineeth Amsham, Sai Reddy Balaiah, Tamilkumar Subbarayakgounder

C-Day Computing Showcase

The "Cardiac arrest prediction model" project melds machine learning with healthcare to tackle heart disease. It aims to surpass current diagnostic tools that fail to catch early signs of cardiac events, often leading to high mortality. By developing an ML model that identifies early predictors of cardiac arrest, the project seeks to enable early interventions. Using supervised learning for its pattern recognition strength, the goal is to predict heart attacks accurately and thus, revolutionize preventative care and outcomes. This effort marks a leap in medical diagnostics and moves towards personalized healthcare, potentially saving countless lives and pioneering a new direction …

Ur-510 Exploring The Impact Of Wavelength In Non-Invasive Blood Glucose Monitoring, John E. Oakley, Tahsin Kazi

C-Day Computing Showcase

Diabetes and metabolic diseases are some of the most crucial health issues of the 21st century. Monitoring blood glucose, the lead indicator of these diseases is a cumbersome process of constantly drawing blood or using subcutaneous needles. However, new technologies have emerged for non-invasive blood glucose monitoring that uses spectroscopy, which involves emitting light and capturing patient data with cameras. These new devices remove the cost of multiple tests, reduce the risk of skin conditions, and create more patient-friendly solutions. However, the hardware variables of these devices have not been tested thoroughly. One such avenue is via laser wavelength, which …

Eur-443 The Compression Connection: Ncd And Knn In Law Enforcement Text Analytics, Gabriel T. Gillott

C-Day Computing Showcase

Facing a deluge of digital records, law enforcement needs advanced data sorting systems. This project uses a new NLP model, blending compression algorithms and KNN, to categorize Cobb County police reports by mental health, behavioral, and drug issues—vital for efficient resource allocation. The model employs Normalized Compression Distance (NCD) to discern text similarities, enhancing analysis of varying report styles. Early tests show promise in label categorization, but generalizing remains challenging, marking future research directions. This NLP advancement could revolutionize data handling in public safety, aiming to surpass current classification standards.

Gr-406 Federated Learning In Cardiac Diagnostics: Balancing Predictive Accuracy With Data Privacy In Heart Sound Classification, Sricharan Donkada

C-Day Computing Showcase

Cardiovascular diseases account for nearly a third of global deaths, posing a challenge that machine learning can help address. However, data privacy concerns hinder the direct application of conventional machine learning in this sensitive area. This paper explores Federated Learning (FL) as a decentralized strategy to mitigate these concerns by allowing for local data processing. FL's design ensures that only processed updates, not raw data, are shared with a central server, maintaining individual privacy. Our research assesses FL's practicality and effectiveness in predicting heart disease while adhering to ethical and legal norms. We build upon previous studies, such as Wanyong …

Gr-430 Plant Disease Detection Using Cnn, Nandini Shankara Murthy, Divya Vasireddi, Mounika Kulkarni

C-Day Computing Showcase

Plant diseases are a major source of worry for farmers and the agricultural business. We hope to create a system that can assist in identifying and controlling these diseases more efficiently by leveraging the capabilities of deep learning. This not only protects agricultural yields but also adds to agriculture's sustainability and economic well-being. For this project we have chosen a suitable dataset from Kaggle: Kaggle Dataset: https://www.kaggle.com/datasets/emmarex/plantdisease/data Dataset Overview: The Plant Village dataset contains images of various crops, with each belonging to different classes representing diseases and healthy states. Having a diverse set of images presents an opportunity for deep …

Gr-493 Advancing Non-Invasive Glucose Monitoring Through Integrated Physical Factors And Wavelength Optimization, El Arbi Belfarsi

C-Day Computing Showcase

This work examines the effects of physical factors like skin tone, temperature, thickness, and humidity on the performance of GlucoCheck, a non-invasive glucose monitoring device using IR technology. It delves into how these variables influence light absorption and scattering in the skin, affecting IR image quality in GlucoCheck. The research addresses how skin humidity alters transmittance, and skin temperature and color diversely impact light absorption. These findings underscore the importance of considering these variables to improve glucose level predictions. We propose a data collection strategy using advanced sensors for real-time acquisition of these factors, integrating them into the algorithm for …

Moral Exemplars Of Note - Horst-Klaus Hofmann, Sam And Pearl Oliner

Moral Exemplars Study

Moral Exemplars of Note - Horst-Klaus Hofmann, Sam and Pearl Oliner

Lung Dosimetry Model Of Inhaled 222rn For Workers At Selected Building Material Factories In Erbil City, Iraq, Sardar Qader Othman, Ali Hassan Ahmed, Sarbaz Ibrahim Mohammed

Polytechnic Journal

Radon gas can cause lung harm, leading to extensive research on the biological effects of radon exposure in human lungs under various environmental conditions. The study estimates radon progeny doses for workers in Erbil city's building materials industries, focusing on alpha particle energy deposition, particle clearance, and lung deposition. Using a home condition of 1 Bq.m-3, radon progeny particle-absorbed doses in the trachea, bronchi, bronchioles, alveolar-interstitial sections, and lungs were determined in the first scenario. The 1 Bq.m-3 is replaced with the radon level for each factory to prepare its atmosphere in the second scenario. For the first scenario, the …

Complicated Extubation In A Patient With An Obstructing Tracheobronchial Thrombus, Milan Terzic, Daniel Aintabi, Omar Hegazy

Graduate Medical Education Research Journal

Endotracheal intubation is an effective and rapid technique used as a standard practice for airway management. Airway injury or complications could be a significant cause of morbidity and mortality for patients. Tracheobronchial obstruction secondary to thrombus formation are life threatening complications of traumatic intubations. We present a case of complicated extubation resulting in cardiac arrest in a patient with an obstructing tracheobronchial thrombus. The patient, an 83-year-old female, with atrial fibrillation presented for neck pain. During CT imaging, she developed ventricular fibrillation cardiac arrest. Return of spontaneous circulation (ROSC) was achieved after three cycles of compressions and defibrillation and the …

An Analysis Of The Statewide Shortage Of Aba Professionals In New York, Leanna S. Mellon, Noor Syed, Lauren Lestremau Allen

Excelsior: Leadership in Teaching and Learning

Support services for many Autistic students in schools is critical. Behavior analysts are one type of service provider who offer support services in and outside of school settings to Autistic students. As behavioral support services are increasing in educational settings, it is important to ensure there are a sufficient number of professionals trained to provide high quality and compassionate support. However, there may not be enough state licensed providers to meet the growing need of students across the state of New York (NY). The supply of state licensed behavior analysts (LBAs) was calculated for the state of NY, its six …

Teacher Certification During Multiple Pandemics In The Epicenter Of It All, Deborah Greenblatt 4509457

Excelsior: Leadership in Teaching and Learning

Teacher certification exams were put on hold as New York City became the epicenter of the COVID-19 crisis in March of 2020. State officials closed testing centers and school buildings, and teacher candidates began to panic as administrators at their student teaching placements worked feverishly to adjust. This changed teacher candidates’ ability to complete the performance assessment required for certification (edTPA). Concurrently, COVID-19 was disproportionally affecting the Black community (Phillips et al., 2020) and areas with limited financial resources. Based on the demographics of students at The City University of New York, there were extensive health challenges for many of …

“I Changed My Mind”: Exploring Why College Students Change Majors To Become Teachers, Ross Bussell

Excelsior: Leadership in Teaching and Learning

While teacher education programs have long studied what draws students to choose a career in teaching, a less studied aspect of teacher candidates relates to students who change majors to become teachers. As a phenomenon that is common in teacher preparation, I am interested in better understanding why this happens. This article centers around six participants who began college choosing a science major, changing their course of study after at least one full year. Through questionnaires and semi-structured interviews, a discussion of what led the participants to change majors, what they were looking for when deciding to become teachers, and …

Medical School Watercooler Newsletter - November 30, 2023, Lindsey Lyle

Watercooler Newsletter

This is the November 30, 2023 edition of the Frederick P. Whiddon College of Medicine's newsletter - Watercooler.

Contents Include:

• Pediatric interventional radiologist joins radiology faculty
• USA researchers identify potential biomarkers for detection and treatment of triple-negative breast cancer
• Now accepting nominations for USA Medical Alumni Awards
• Register now: Tools for Teaching in Medical Education
• Center for Healthy Communities to host community health worker forum

The Chanticleer, 2023-11-30, Coastal Carolina University

The Chanticleer Student Newspaper

The editorially independent student produced weekly newspaper of Coastal Carolina University.

The Chanticleer, 2023-11-30, Semester In Photos, Coastal Carolina University

The Chanticleer Student Newspaper

The editorially independent student produced weekly newspaper of Coastal Carolina University.

Vol.51 N.19 Novmeber 30th 2023, Voice Media Ventures

Black Voice News

No abstract provided.

Issue 432: November 30-December 14, 2023, The Local Voice

The Local Voice

No abstract provided.

The Black Garden, Madalene Klocke

Theses

“The Black Garden” is a novel-length fantasy fiction work. It follows the narrative of Ryan, an 18-year-old girl, who has great expectations for what her first year at university will hold. Her entire world view is tilted when she attends a party with her new roommate, Blair, and wakes up in an unfamiliar place. Ryan must fight to keep her sanity as she is thrust into the world of faeries, witches, and far worse creatures than she could have ever imagined: including her parents.