Digital Commons Network^™

Training In Eight Low-And Middle-Income Countries: Lessons Learned From A Pilot Study Using The Who-Tdr Dissemination And Implementation Massive Open Online Course, Ashlin Rakhra, Victor Davila-Roman, Ana A Baumann, Et Al.

2020-Current year OA Pubs

INTRODUCTION: Non-communicable diseases (NCDs) are a leading cause of morbidity and mortality in low-and middle- income countries (LMICs). Despite this, a lack of funding, training and mentorship for NCD investigators in LMICs exists. In an effort to gain knowledge and skills to address these gaps, participants from the Global Research on Implementation and Translation Science (GRIT), a consortium of studies in eight LMICs and their networks, attended the dissemination and implementation (D&I) massive open online course (MOOC) developed by the Special Programme for Research and Training in Tropical Diseases at the World Health Organization to strengthen D&I capacity building. Here, …

Understanding Tailoring To Support The Implementation Of Evidence-Based Interventions In Healthcare: The Customise Research Programme Protocol, Sheena M Mchugh, Fiona Riordan, Claire Kerins, Geoff Curran, Cara C Lewis, Justin Presseau, Luke Wolfenden, Byron J Powell

2020-Current year OA Pubs

Although there are effective evidence-based interventions (EBIs) to prevent, treat and coordinate care for chronic conditions they may not be adopted widely and when adopted, implementation challenges can limit their impact. Implementation strategies are "methods or techniques used to enhance the adoption, implementation, and sustainment of a clinical program or practice". There is some evidence to suggest that to be more effective, strategies should be

The Pace Of Biological Aging Helps Explain The Association Between Insomnia And Chronic Low Back Pain, Edwin N Aroke, Asia M Wiggins, Joanna M Hobson, Vinodh Srinivasasainagendra, Tammie L Quinn, Pooja Kottae, Hemant K Tiwari, Robert E Sorge, Burel R Goodin

2020-Current year OA Pubs

Chronic low back pain (cLBP) is associated with insomnia and advanced age. Emerging evidence suggests that the severity of both sleep disorders (like insomnia) and chronic pain are associated with a faster pace of biological aging. We aimed to determine whether the pace of biological age mediates the relationship between insomnia and the impact of cLBP in a sample of community-dwelling adults ages 19 to 85 years. Participants (49 with no pain, 32 with low-impact pain, and 37 with high-impact pain) completed sociodemographic, pain, insomnia, and short physical performance battery assessments. We calculated the pace of biological aging using DunedinPACE …

Phagocytosis Is A Primary Determinant Of Pulmonary Clearance Of Clinical Klebsiella Pneumoniae Isolates, Rick Van Der Geest, Hongye Fan, Hernán F Peñaloza, William G Bain, Zeyu Xiong, Naina Kohli, Emily Larson, Mara L G Sullivan, Jonathan M Franks, Donna B Stolz, Ryota Ito, Kong Chen, Yohei Doi, Melanie J Harriff, Janet S Lee

2020-Current year OA Pubs

INTRODUCTION:

METHODS: We screened 19 clinical respiratory

RESULTS: The respiratory

CONCLUSION: Altogether, these findings show that phagocytosis is a primary determinant of pulmonary clearance of clinical

Qunex-An Integrative Platform For Reproducible Neuroimaging Analytics, Jie Lisa Ji, Matthew F Glasser, Michael P Harms, Et Al.

2020-Current year OA Pubs

INTRODUCTION: Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health and disease. However, given the diversity of sophisticated tools for handling neuroimaging data, the field faces challenges in method integration, particularly across multiple modalities and species. Specifically, researchers often have to rely on siloed approaches which limit reproducibility, with idiosyncratic data organization and limited software interoperability.

METHODS: To address these challenges, we have developed Quantitative Neuroimaging Environment & Toolbox (QuNex), a platform for consistent end-to-end processing and analytics. QuNex provides several novel functionalities for neuroimaging analyses, including a "turnkey" command for the reproducible deployment …

A Review Of Technological Innovations Leading To Modern Endovascular Brain Aneurysm Treatment, David C Lauzier, Anna L Huguenard, Anja I Srienc, Samuel J Cler, Joshua W Osbun, Arindam R Chatterjee, Ananth K Vellimana, Akash P Kansagra, Colin P Derdeyn, Dewitte T Cross, Christopher J Moran

2020-Current year OA Pubs

Tools and techniques utilized in endovascular brain aneurysm treatment have undergone rapid evolution in recent decades. These technique and device-level innovations have allowed for treatment of highly complex intracranial aneurysms and improved patient outcomes. We review the major innovations within neurointervention that have led to the current state of brain aneurysm treatment.

A Novel Approach For Assessing Bias During Team-Based Clinical Decision-Making, Natalie Pool, Megan Hebdon, Esther De Groot, Ryan Yee, Kathryn Herrera-Theut, Erika Yee, Larry A Allen, Ayesha Hasan, Joann Lindenfeld, Elizabeth Calhoun, Molly Carnes, Nancy K Sweitzer, Khadijah Breathett

2020-Current year OA Pubs

Many clinical processes include multidisciplinary group decision-making, yet few methods exist to evaluate the presence of implicit bias during this collective process. Implicit bias negatively impacts the equitable delivery of evidence-based interventions and ultimately patient outcomes. Since implicit bias can be difficult to assess, novel approaches are required to detect and analyze this elusive phenomenon. In this paper, we describe how the de Groot Critically Reflective Diagnoses Protocol (DCRDP) can be used as a data analysis tool to evaluate group dynamics as an essential foundation for exploring how interactions can bias collective clinical decision-making. The DCRDP includes 6 distinct criteria: …

Proteins In Tumor-Derived Plasma Extracellular Vesicles Indicate Tumor Origin, Meltem Barlin, Petra Erdmann-Gilmore, Jacqueline L Mudd, Qiang Zhang, Robert W Seymour, Zhanfang Guo, Julia R Miessner, S Peter Goedegebuure, Ye Bi, Omar A Osorio, Jennifer Alexander-Brett, Shunqiang Li, Cynthia X Ma, Ryan C Fields, R Reid Townsend, Jason M Held

2020-Current year OA Pubs

Cancer-derived extracellular vesicles (EVs) promote tumorigenesis, premetastatic niche formation, and metastasis via their protein cargo. However, the proteins packaged by patient tumors into EVs cannot be determined in vivo because of the presence of EVs derived from other tissues. We therefore developed a cross-species proteomic method to quantify the human tumor-derived proteome of plasma EVs produced by patient-derived xenografts of four cancer types. Proteomic profiling revealed individualized packaging of novel protein cargo, and machine learning accurately classified the type of the underlying tumor.

Impact Of Early Pericardial Fluid Chymase Activation After Cardiac Surgery, Brittany Butts, Lee A Goeddel, Jingyi Zheng, Betty Pat, Pamela Powell, James Mobley, Sarfaraz Ahmad, Chad Steele, David Mcgiffin, James E Davies, James F George, Spencer J Melby, Carlos M Ferrario, Louis J Dell'italia

2020-Current year OA Pubs

INTRODUCTION: Chymase is a highly destructive serine protease rapidly neutralized in the circulation by protease inhibitors. Here we test whether pericardial fluid (PCF) chymase activation and other inflammatory biomarkers determine intensive care unit length of stay, and explore mechanisms of chymase delivery by extracellular vesicles to the heart.

METHODS: PCF was collected from adult patients (17 on-pump; 13 off-pump) 4 h after cardiac surgery. Extracellular vesicles (EVs) containing chymase were injected into Sprague-Dawley rats to test for their ability to deliver chymase to the heart.

RESULTS: The mean intensive care unit (ICU) stay and mean total length of stay was …

Financial Burden Of Men With Localized Prostate Cancer: A Process Paper, Ashley J Housten, Hannah E Rice, Su-Hsin Chang, Allison J L'Hotta, Eric H Kim, Bettina F Drake, Robin Wright-Jones, Mary C Politi

2020-Current year OA Pubs

BACKGROUND: Many individuals undergoing cancer treatment experience substantial financial hardship, often referred to as financial toxicity (FT). Those undergoing prostate cancer treatment may experience FT and its impact can exacerbate disparate health outcomes. Localized prostate cancer treatment options include: radiation, surgery, and/or active surveillance. Quality of life tradeoffs and costs differ between treatment options. In this project, our aim was to quantify direct healthcare costs to support patients and clinicians as they discuss prostate cancer treatment options. We provide the transparent steps to estimate healthcare costs associated with treatment for localized prostate cancer among the privately insured population using a …

The Evaluation Of The Delayed Swollen Breast In Patients With A History Of Breast Implants, Grace C Keane, Alexandra M Keane, Ryan Diederich, Kaitlyn Kennard, Eric J Duncavage, Terence M Myckatyn

2020-Current year OA Pubs

Breast implants, whether placed for reconstructive or cosmetic purposes, are rarely lifetime devices. Rupture, resulting from compromised implant shell integrity, and capsular contracture caused by constriction of the specialized scar tissue that normally forms around breast implants, have long been recognized, and remain the leading causes of implant failure. It is apparent, however, that women with breast implants may also experience delayed breast swelling due to a range of etiologic factors. While a majority of delayed seromas associated with breast implants have a benign etiology, this presentation cannot be ignored without an adequate workup as malignancies such as breast implant …

A New Measure For Multi-Professional Medical Team Communication: Design And Methodology For Multilingual Measurement Development, Sara Malone, Kim Prewitt, Lara Counts, Douglas A Luke, Et Al.

2020-Current year OA Pubs

BACKGROUND: As implementation science in global health continues to evolve, there is a need for valid and reliable measures that consider diverse linguistic and cultural contexts. A standardized, reproducible process for multilingual measure development may improve accessibility and validity by participants in global health settings. To address this need, we propose a rigorous methodology for multilingual measurement development. We use the example of a novel measure of multi-professional team communication quality, a determinant of implementation efforts.

METHODS: The development and translation of this novel bilingual measure is comprised of seven steps. In this paper, we describe a measure developed in …

Adapting A Mobile App To Support Patients With Anorexia Nervosa Following Post-Acute Care: Perspectives From Eating Disorder Treatment Center Stakeholders, Anneliese Haas, Agatha A Laboe, Claire G Mcginnis, Marie-Laure Firebaugh, Jillian Shah, Anna M Bardone-Cone, Kathleen M Pike, C Barr Taylor, Denise E Wilfley, Ellen E Fitzsimmons-Craft

2020-Current year OA Pubs

INTRODUCTION: Anorexia nervosa (AN) is a harmful, life-threatening illness. Patients with severe AN often receive acute treatment but, upon discharge, experience high relapse rates. Evidence-based, outpatient treatment following acute care is critical to preventing relapse; however, numerous barriers (e.g., location, financial limitations, low availability of providers) preclude individuals from accessing treatment. mHealth technologies may help to address these barriers, but research on such digital approaches for those with AN is limited. Further, such technologies should be developed with all relevant stakeholder input considered from the outset. As such, the present study aimed to garner feedback from eating disorder (ED) treatment …

Ehealth Technology In Cardiac Exercise Therapeutics For Pediatric Patients With Congenital And Acquired Heart Conditions: A Summary Of Evidence And Future Directions, David A White, Aimee M Layton, Tracy Curran, Naomi Gauthier, William B Orr, Kendra Ward, Meg Vernon, Matthew N Martinez, Malloree C Rice, Katherine Hansen, Megan Prusi, Jesse E Hansen

2020-Current year OA Pubs

Many children and adolescents with congenital and acquired heart disease (CHD) are physically inactive and participate in an insufficient amount of moderate-to-vigorous intensity exercise. Although physical activity (PA) and exercise interventions are effective at improving short- and long-term physiological and psychosocial outcomes in youth with CHD, several barriers including resource limitations, financial costs, and knowledge inhibit widespread implementation and dissemination of these beneficial programs. New and developing eHealth, mHealth, and remote monitoring technologies offer a potentially transformative and cost-effective solution to increase access to PA and exercise programs for youth with CHD, yet little has been written on this topic. …

Implementation Strategies For Occupational Therapists To Advance Goal Setting And Goal Management, Eunyoung Kang, Julie Chen, Erin R Foster

2020-Current year OA Pubs

BACKGROUND: There is a need for an effective evidence-based system to support high-quality goal setting and goal management implementation. We developed a new system for community-based rehabilitation, MyGoals, along with implementation strategies to support occupational therapists (OTs) in its administration. This study evaluates the acceptability, appropriateness, and feasibility of the implementation strategies,

METHODS: This mixed-methods case series study evaluated the MyGoals implementation strategies developed using Implementation Mapping (IM), specifically IM Task 5 - Implementation Outcome Evaluation. Seven OTs and 13 adults with chronic conditions participated in this study. OTs participated in two

RESULTS: Seven OTs participated in this study (mean …

Caregiver Perspectives On The Continued Impact Of The Covid-19 Pandemic On Children With Intellectual/Developmental Disabilities, R A Northrup, E Jones, V Singh, C Holingue, M Meck, C A Gurnett, M Van Stone, L G Kalb

2020-Current year OA Pubs

The COVID-19 pandemic has significantly impacted caregivers, especially those raising a child with an intellectual/developmental disability (IDD). While research has shown substantial disruption to the family, school, and occupational lives of the IDD community, little is known about the long-term impacts of COVID-19. To address this question, 249 caregivers were surveyed via an online questionnaire, between April and August of 2022 (more than 2 years into the pandemic) about potential impacts of the COVID-19 pandemic on their child's access to health- and school-based therapeutic services, caregiver mental health, and family life. The majority of caregivers reported disruptions in access to …

Assessment Of Antibodies In The Upper And Lower Human Respiratory Tract At Steady State And After Respiratory Viral Infection, Marios Koutsakos, Jackson S Turner, M Cristina Vazquez Guillamet, Daniel Reynolds, Tingting Lei, Derek E Byers, Ali H Ellebedy, Philip A Mudd

2020-Current year OA Pubs

OBJECTIVES: There is an increasing appreciation for the need to study mucosal antibody responses in humans. Our aim was to determine the utility of different types of samples from the human respiratory tract, specifically nasopharyngeal (NP) swabs obtained for diagnostic purposes and bronchoalveolar lavage (BAL) obtained in outpatient and inpatient settings.

METHODS: We analysed antibody levels in plasma and NP swabs from 67 individuals with acute influenza as well as plasma and BAL from individuals undergoing bronchoscopy, including five control subjects as well as seven moderately and seven severely ill subjects with a respiratory viral infection. Levels of α2-macroglobulin were …

Tourette Syndrome Research Highlights From 2022, Andreas Hartmann, Per Andrén, Cyril Atkinson-Clément, Virginie Czernecki, Cécile Delorme, Nanette Marinette Monique Debes, Kirsten Müller-Vahl, Peristera Paschou, Natalia Szejko, Apostolia Topaloudi, Keisuke Ueda, Kevin J. Black

2020-Current year OA Pubs

This is the ninth yearly article in the Tourette Syndrome Research Highlights series, summarizing selected research reports from 2022 relevant to Tourette syndrome. The authors briefly summarize reports they consider most important or interesting.

Severe Central Nervous System Demyelination In Sanfilippo Disease, Mahsa Taherzadeh, Erjun Zhang, Irene Londono, Benjamin De Leener, Sophie Wang, Jonathan D Cooper, Timothy E Kennedy, Carlos R Morales, Zesheng Chen, Gregory A Lodygensky, Alexey V Pshezhetsky

2020-Current year OA Pubs

INTRODUCTION: Chronic progressive neuroinflammation is a hallmark of neurological lysosomal storage diseases, including mucopolysaccharidosis III (MPS III or Sanfilippo disease). Since neuroinflammation is linked to white matter tract pathology, we analyzed axonal myelination and white matter density in the mouse model of MPS IIIC

METHODS: Brain and spinal cord tissues of human MPS III patients, 6-month-old

RESULTS: Analyses of CC and spinal cord tissues by immunohistochemistry revealed substantially reduced levels of myelin-associated proteins including Myelin Basic Protein, Myelin Associated Glycoprotein, and Myelin Oligodendrocyte Glycoprotein. Furthermore, ultrastructural analyses revealed disruption of myelin sheath organization and reduced myelin thickness in the brains …

A Bone To Pick-Cellular And Molecular Mechanisms Of Bone Pain In Sickle Cell Disease, Jahnavi Gollamudi, Kristine A Karkoska, Oluwabukola T Gbotosho, Wei Zou, Hyacinth I Hyacinth, Steven L Teitelbaum

2020-Current year OA Pubs

The bone is one of the most commonly affected organs in sickle cell disease (SCD). Repeated ischemia, oxidative stress and inflammation within the bone is largely responsible for promoting bone pain. As more individuals with SCD survive into adulthood, they are likely to experience a synergistic impact of both aging and SCD on their bone health. As bone health deteriorates, bone pain will likely exacerbate. Recent mechanistic and observational studies emphasize an intricate relationship between bone remodeling and the peripheral nervous system. Under pathological conditions, abnormal bone remodeling plays a key role in the propagation of bone pain. In this …

Introducing Sonhr-Reporting Guidelines For Social Networks In Health Research, Douglas A. Luke, Edward Tsai, Bobbi J. Carothers, Sara Malone, Beth Prusaczyk, Todd B. Combs, Mia T Vogel, Jennifer Watling Neal, Zachary P. Neal

2020-Current year OA Pubs

OBJECTIVE: The overall goal of this work is to produce a set of recommendations (SoNHR-Social Networks in Health Research) that will improve the reporting and dissemination of social network concepts, methods, data, and analytic results within health sciences research.

METHODS: This study used a modified-Delphi approach for recommendation development consistent with best practices suggested by the EQUATOR health sciences reporting guidelines network. An initial set of 28 reporting recommendations was developed by the author team. A group of 67 (of 147 surveyed) experienced network and health scientists participated in an online feedback survey. They rated the clarity and importance of …

Development Of A Social And Environmental Determinants Of Health Informatics Maturity Model, Juan C Espinoza, Shruti Sehgal, Jimmy Phuong, Neil Bahroos, Justin Starren, Adam Wilcox, Daniella Meeker

2020-Current year OA Pubs

INTRODUCTION: Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to develop a SEDoH informatics maturity model (SIMM) to help guide organizations to address technical, operational, and policy gaps.

METHODS: We established a core expert group consisting of developers, informaticists, and subject matter experts to identify different SIMM domains and define maturity levels. The candidate model (v0.9) was evaluated by 15 informaticists at a Center for Data to Health community meeting. After incorporating feedback, a second evaluation round …

Critcom: Assessment Of Quality Of Interdisciplinary Communication Around Deterioration In Pediatric Oncologic Patients, Jocelyn Rivera, Sara Malone, Kim Prewitt, Lara Counts, Douglas A Luke, Et Al.

2020-Current year OA Pubs

BACKGROUND: High-quality clinical care requires excellent interdisciplinary communication, especially during emergencies, and no tools exist to evaluate communication in critical care. We describe the development of a pragmatic tool focusing on interdisciplinary communication during patient deterioration (CritCom).

METHODS: The preliminary CritCom tool was developed after a literature review and consultation with a multidisciplinary panel of global experts in communication, pediatric oncology, and critical care to review the domains and establish content validity iteratively. Face and linguistic validity were established through cognitive interviews, translation, and linguistic synthesis. We conducted a pilot study among an international group of clinicians to establish reliability …

An Image-Based Modeling Framework For Predicting Spatiotemporal Brain Cancer Biology Within Individual Patients, Kamila M Bond, Lee Curtin, Sara Ranjbar, Ariana E Afshari, Leland S Hu, Joshua B Rubin, Kristin R Swanson

2020-Current year OA Pubs

Imaging is central to the clinical surveillance of brain tumors yet it provides limited insight into a tumor's underlying biology. Machine learning and other mathematical modeling approaches can leverage paired magnetic resonance images and image-localized tissue samples to predict almost any characteristic of a tumor. Image-based modeling takes advantage of the spatial resolution of routine clinical scans and can be applied to measure biological differences within a tumor, changes over time, as well as the variance between patients. This approach is non-invasive and circumvents the intrinsic challenges of inter- and intratumoral heterogeneity that have historically hindered the complete assessment of …

The Purpose Of Cybersecurity Governance In The Digital Transformation Of Public Services And Protecting The Digital Environment, Maad Mijwil, Youssef Filali, Mohammad Aljanabi, Mariem Bounabi, Mariem Bounabi

Mesopotamian Journal of CyberSecurity

As it tries to incorporate computer-based technology into the public services provided by businesses or organisations, the digital transformation process is currently regarded one of the most prominent topics in circulation. Establishing fundamentals and points is necessary for digital transformation, as is relying on a specific set of employee talents and actively incorporating customers in the process's evolution. Cybersecurity has become an increasingly important issue for governments and businesses worldwide, and this shift towards digital services is a top priority for all of them. Accelerating the digital transformation process and the usage of its services are the vulnerabilities to cyberspace, …

Theoretical Background Of Cryptography, Rusul Mansoor Al-Amri, Dalal N. Hamood, Alaa Kadhim Farhan

Mesopotamian Journal of CyberSecurity

Cryptography is the practice of secure communication and the study of secure communication techniques. The theoretical foundations of cryptography include concepts such as cryptography, secure key exchange, digital signatures, and authentication. These technologies are used to protect the confidentiality, integrity, and reliability of information while it is being transmitted over a network or stored in digital form. The core of encryption is the concept of an encryption algorithm, which is a set of mathematical rules used to encrypt and decrypt data. The security of a cryptographic system depends on the strength of the underlying algorithm and the confidentiality of the …

Chatgpt: Future Directions And Open Possibilities, Mohammad Aljanabi

Mesopotamian Journal of CyberSecurity

ChatGPT, the cutting-edge language model developed by OpenAI, is one of the most exciting advancements in the field of artificial intelligence. With its ability to generate human-like text and respond to complex questions, ChatGPT has already made a significant impact and is poised to continue its rapid progression in the coming years. As we look to the future of ChatGPT and large language models, there are many exciting possibilities and open opportunities for this technology to enhance our lives and change the way we interact with technology

Novel Convolutional Neural Networks Based Jaya Algorithm Approach For Accurate Deepfake Video Detection, Zahraa Faiz Hussain, Hind Raad Ibraheem

Mesopotamian Journal of CyberSecurity

Deepfake videos are becoming an increasing concern due to their potential to spread misinformation and cause harm. In this paper, we propose a novel approach for accurately detecting deepfake videos using the combination of Convolutional Neural Networks (CNNs) with the Jaya algorithm optimization. The approach is evaluated on two publicly available datasets, the DeepFake Detection Challenge (DFDC) dataset and the Celeb-DF dataset, and achieves state-of-the-art performance on both datasets. Our approach achieves an accuracy of 99.3% on the DFDC dataset and 97.6% on the Celeb-DF dataset, with high F1 scores indicating a high precision and recall for detecting deepfake videos. …

Advanced Cyber Security Using Spectral Entity Feature Selection Based On Cyber Crypto Proof Security Protocol (C2psp), Gopalakrishnan S, Karabi Saikia, Ranadheer Reddy Vallem

Mesopotamian Journal of CyberSecurity

The growth of internet become more development in communication medium to provide various services. Information sharing ad security is mostly suffered by crime attackers because of different models of cyber-attacks are carried out by attackers. Attackers creates jamming principles, communication delays, packet dropping, and information hacking, duplicate injection to do so many activities to destroy the security. Based on the communication data analysis and features are non-identified and difficult to find the malicious activities. So the development of cyber security needs advancement to find the attackers based on the communication breaking activities. To resolve this problem, we propose a Spectral …

Cyber Security System Based On Machine Learning Using Logistic Decision Support Vector, Sahaya Sheela M, Hemanand D, Ranadheer Reddy Vallem

Mesopotamian Journal of CyberSecurity

Nowadays, we are moving towards cybersecurity against digital attacks to protect systems, networks, and data in developing areas. A collection of technologies and processes is at the core of cybersecurity. A network security system is a feature of network and computer (host) security. Cybercrime leads to billion-dollar losses. Given these crimes, the security of computer systems has become essential to reduce and avoid the impact of cybercrime. We propose the Logistics Decision Support Vector (LDSV) algorithm dealing with this problem. Initially, we collected the KDD Cup 99 dataset to create a network intrusion detection, such as penetrations or attacks, a …