Digital Commons Network^™

Vulgarized Neighbouring Network Of Multivariate Autoregressive Processes Of With Student-T Distri, Rasaki Olawale Olanrewaju, Ravi Prakash Ranjan, Queensley C. Chukwudum, Sodiq Adejare Olanrewaju

Malaysian Journal of Computing (MJoC)

This paper introduces the vulgarized network autoregressive process with Gaussian and Student-t random noises. The processes relate the time-varying series of a given variable to the immediate past of the same phenomenon with the inclusion of its neighboring variables and networking structure. The generalized network autoregressive process would be fully spelt-out to contain the aforementioned random noises with their embedded parameters (the autoregressive coefficients, networking nodes, and neighboring nodes) and subjected to monthly prices of ten (10) edible cereals. Global-α of Generalized Network Autoregressive (GNAR) of order lag two, the neighbor at the time lags two and the neighbourhood nodal …

Qtls And Candidate Loci Associated With Drought Tolerance Traits Of Kaybonnet X Zhe733 Recombinant Inbred Lines Rice Population, Yheni Dwiningsih, Julie Thomas, Anuj Kumar, Chirag Gupta, Navdeep Gill, Charles Ruiz, Jawaher Alkahtani, Niranjan Baisakh, Andy Pereira

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Rice is the most important staple crop for the sustenance of the world’s population, and drought is a major factor limiting rice production. Quantitative trait locus (QTL) analysis of drought-resistance-related traits was conducted on a recombinant inbred line (RIL) population derived from the self-fed progeny of a cross between the drought-resistant tropical japonica U.S. adapted cultivar Kaybonnet and the drought-sensitive indica cultivar ZHE733. K/Z RIL population of 198 lines was screened in the field at Fayetteville (AR) for three consecutive years under controlled drought stress (DS) and well-watered (WW) treatment during the reproductive stage. The effects of DS were quantified …

Comparison Of A Patient-Specific Computed Tomography Organ Dose Software With Commercial Phantom-Based Tools, Bindu P. Bhat

Master's Theses (2009 -)

Computed Tomography imaging is an important diagnostic tool but carries some risk due to radiation dose used to form the image. Currently, CT scanners report a measure of radiation dose for each scan that reflects the radiation emitted by the scanner, not the radiation dose absorbed by the patient. The radiation dose absorbed by organs, known as organ dose, is a more relevant metric that is important for risk assessment and CT protocol optimization. Tools for rapid organ-dose estimation are available but are limited to using general patient models. These publicly available tools are unable to model patient-specific anatomy and …

Glimpses Of Oregon’S Sea Otters, Cameron La Follette, Douglas Deur

Anthropology Faculty Publications and Presentations

Sea otters are an iconic species in the history of what is now known as Oregon. Their pelts brought great wealth in late eighteenth and nineteenth century China, motivating some of Oregon’s earliest exploration, trade, and contact between Native American and Euro-American people. Over time, hunting eliminated the species from Oregon’s coastal waters. This article provides a broad introduction to the history of Oregon’s now-extinct sea otter population, describing the emergence of the Chinese market that created and sustained the hunt, the British discovery of profits to be made by trading for the pelts, and the rise of American traders. …

Fall 2023 Shsp Alumni Connections, New York Medical College

School of Health Sciences and Practice

• Founder's Dinner 2023
• SHSP Renovations for the New Academic Year
• NYMC Alumna Dr. Blanco Appointed SLP Director of Clinical Education
• Mock Interview Day for the D.P.T. Class of 2024
• SLP Hosts Cricket Activity for First-Year Students
• Clinical Skills and Simulation Center Looks Forward to Expansion
• Golf Outing Supports Student Scholarships
• NYMC and TU Hosts Webinar Series: “Ninety Minutes: The Medical Magazine of the Web”
• Sambit Mohapatra, Ph.D., M.S., PT, Is Named Chair of the Department of Rehabilitation Sciences
• Katherine Paulino-Gomez, M.A., CCC-SLP, Brings Unique Perspective to SLP Faculty
• Meet the President of NYMC Student Health Care Executives
• From Healing Communities …

Fall 2023 Som Alumni Connections, New York Medical College

School of Medicine

• Founder's Dinner 2023
• Neil W. Schluger, M.D., Named Dean of the School of Medicine
• Dr. Pamela Ludmer Appointed Interim Dean for Undergraduate Medical Education
• Clinical Skills and Simulation Center Looks Forward to Expansion
• Non-Invasive Test Can Detect Oral and Throat Cancer at Early Stages
• NYMC and Regeneron Pharmaceuticals Collaborate on Drug Development Elective
• Intranasal Immunization Offers Stronger Protection Against COVID-19
• Golf Outing Supports Student Scholarships
• Drs. Abraham and Moscatello Return to Ukraine to Train Reconstructive Plastic Surgeons
• Medical Students Mark Transition to Clinical Practice
• SOM Welcomes Student Senate E-Board Officers
• SOM Class of 2027 Dons White Coats for the First …

Striving To Increase Bipoc Family Participation In Early Childhood Family Education, Ayuko Boomer

School of Education and Leadership Student Capstone Theses and Dissertations

Boomer, A. U. (2023). Striving to Increase BIPOC Family Participation in Early Childhood Family Education. Early Childhood Family Education (ECFE) is a public education program designed and available for all parents and families in Minnesota. Despite these intentions, many Black, Indigenous, and People of Color (BIPOC) families remain unaware of ECFE's existence and its significance. The purpose of this study is to understand the current methodologies of parent education outreach and collaboration with other programs, in particular, BIPOC communities, and explore and process what efforts have been made to increase BIPOC participation in traditional ECFE parent education group classes (non-affinity …

Mixed-Up Origins: The Case For A Gestational Presumption In Embryo Mix-Ups, Betsy A. Sugar

Vanderbilt Law Review

Embryo mix-ups-instances in which fertility clinics mistakenly implant one couple with another couple's embryo confound courts' determinations of who, between the two couples, are the legal parents. Lax regulation of the fertility industry permitted this relatively new injury to develop, and it has led to morally and legally fraught questions of parenthood and personal autonomy. This Note reviews parentage doctrines, beginning with a discussion of the martial presumption; it also tracks how courts have traditionally responded to parentage questions that fertility medicine has generated, including embryo division in divorce and parentage in surrogacy contracts. It then analyzes potential approaches to …

Dean's Update, October 2023, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Dean's Report- Fall 2023, Marina K. Holz

GSBMS Dean’s Report

No abstract provided.

Neural Complexity Eeg Biomarkers Of Rapid And Post-Rapid Ketamine Effects In Late-Life Treatment-Resistant Depression: A Randomized Control Trial, Nicholas Murphy, Amanda J F Tamman, Marijn Lijffijt, Dania Amarneh, Sidra Iqbal, Alan Swann, Lynnette A Averill, Brittany O'Brien, Sanjay J Mathew

Staff and Researcher Publications

Ketamine is an effective intervention for treatment-resistant depression (TRD), including late-in-life (LL-TRD). The proposed mechanism of antidepressant effects of ketamine is a glutamatergic surge, which can be measured by electroencephalogram (EEG) gamma oscillations. Yet, non-linear EEG biomarkers of ketamine effects such as neural complexity are needed to capture broader systemic effects, represent the level of organization of synaptic communication, and elucidate mechanisms of action for treatment responders. In a secondary analysis of a randomized control trial, we investigated two EEG neural complexity markers (Lempel-Ziv complexity [LZC] and multiscale entropy [MSE]) of rapid (baseline to 240 min) and post-rapid ketamine (24 …

Internalizing Symptoms In Autistic Young Adults: Comparing The Cognitive And Physiological Components Of Emotion Regulation, Sarah Lehman

Master's Theses (2009 -)

Autistic people experience co-occurring mental illness at a substantially greater rate compared to their neurotypical counterparts. Of these comorbid psychopathologies, internalizing disorders (anxiety and depression) are among the most prevalent. Emotion dysregulation has been identified as a contributing factor to this phenomenon and potential treatment target. The current study employed cognitive (e.g., use of suppression and use of cognitive reappraisal) and physiological (e.g., respiratory sinus arrhythmia (RSA) and heart period) measures to more holistically capture the multifaceted construct of emotion regulation compared to prior research. In a sample of autistic young adults (N = 63) ages 17-29 (M = 20.14), …

A Profile Of Freshman Inquiry Students Fall 2023, Rowanna L. Carpenter

University Studies Assessment Research

In order to better understand the students enrolled in Freshman Inquiry (FRINQ) courses and identify areas where they may need support, University Studies (UNST) began collecting and compiling data on these students. This report presents a profile of FRINQ students from Fall 2023. It presents an overview of all students enrolled in FRINQ during Fall 2023 and then summarizes information from the Prior Learning Survey.

Integrating Chinese Herbal Medicine Into Conventional Care Was Related To Lower Risk Of Sarcopenia Among Rheumatid Arthritis Patients: A Retrospective, Population-Based Study, Hsin-Hua Li, Hanoch Livneh, Hua-Lung Huang, Yu-Han Wang, Ming-Chi Lu, Wei-Jen Chen, Tzung-Yi Tsai

Counselor Education Faculty Publications and Presentations

Objective: Sarcopenia is a frequently observed comorbidity of rheumatoid arthritis (RA) due to the chronic activation of the innate immune system. Accumulating evidence has indicated that Chinese herbal medicine (CHM) safely suppresses proinflammatory pathways and controls inflammation-associated disease, but its effect in reducing the risk of developing sarcopenia among RA subjects has not been established. We conducted a population-level cohort study to compare the sarcopenia risk in patients with RA who use or do not use CHM. Methods: Using claims from a nationwide insurance database, we recruited patients with newly diagnosed RA and without sarcopenia between 2002 and 2010. Propensity …

Menstruation And Adolescent Girls' Daily Lives In Rural Upper Egypt, Salma Abou Hussein, Nahla G. Abdel-Tawab

Adolescents and Young People

The Population Council conducted a qualitative study to understand the menstruation-related attitudes, practices, and perceptions that shape adolescent girls’ daily routines in rural upper Egypt communities, specifically Assiut and Sohag. The study relied on in-depth interviews with unmarried adolescent girls aged 13–16; focus group discussions with girls aged 13–16, mothers, fathers, and male siblings of adolescent girls; and key informant interviews with schoolteachers, doctors/nurses, pharmacists, and community leaders. “Period poverty” (lack of access to, or inability to afford period supplies) can be detected among adolescent girls in rural Assiut and Sohag. Lack of information and emotional and practical support before …

The Graphical User Interface For Bounded Addition Fuzzy Splicing, Mathuri Selvarajoo, Mohd Pawiro Santono, Fong Wan Heng, Nor Haniza Sarmin

Malaysian Journal of Computing (MJoC)

A splicing system is one of the early theoretical proposals of the DNA-based computation device. The splicing operation starts when two DNA molecules are cut at specific subsequences with the presence of restriction enzymes: the first part is then connected to the second part of the other molecule, or vice versa, to produce splicing languages. Fuzzy with bounded-addition operation has been introduced as a restriction in splicing systems to increase the generative power of the languages generated. In this research, a graphical user interface is developed to generate all the splicing languages generated by bounded-addition fuzzy splicing systems and their …

Disentangling Sex Differences In Ptsd Risk Factors: A Systematic Overview And Multiple Mediation Analysis The The Aurora Study, Stephanie Haering, Antonia V. Seligowski, Sarah Linnstaedt, Vasiliki Michopoulos, Stacey L. House, Francesca Beaudoin, Xinming An, Thomas C. Neylan, Gari Clifford, Robert A. Swor

Articles

No abstract provided.

Second International Consensus Report On Gaps And Opportunities For The Clinical Translation Of Precision Diabetes Medicine, Deirdre K Tobias, Jordi Merino, Abrar Ahmad, Catherine Aiken, Jamie L Benham, Dhanasekaran Bodhini, Amy L Clark, Kevin Colclough, Rosa Corcoy, Sara J Cromer, Daisy Duan, Jamie L Felton, Ellen C Francis, Pieter Gillard, Véronique Gingras, Romy Gaillard, Eram Haider, Alice Hughes, Jennifer M Ikle, Laura M Jacobsen, Anna R Kahkoska, Jarno L T Kettunen, Raymond J Kreienkamp, Lee-Ling Lim, Jonna M E Männistö, Robert Massey, Niamh-Maire Mclennan, Rachel G Miller, Mario Luca Morieri, Jasper Most, Rochelle N Naylor, Bige Ozkan, Kashyap Amratlal Patel, Scott J Pilla, Katsiaryna Prystupa, Sridharan Raghavan, Mary R Rooney, Martin Schön, Zhila Semnani-Azad, Magdalena Sevilla-Gonzalez, Pernille Svalastoga, Wubet Worku Takele, Claudia Ha-Ting Tam, Anne Cathrine B Thuesen, Mustafa Tosur, Amelia S Wallace, Caroline C Wang, Jessie J Wong, Jennifer M Yamamoto, Katherine Young, Chloé Amouyal, Mette K Andersen, Maxine P Bonham, Mingling Chen, Feifei Cheng, Tinashe Chikowore, Sian C Chivers, Christoffer Clemmensen, Dana Dabelea, Adem Y Dawed, Aaron J Deutsch, Laura T Dickens, Linda A Dimeglio, Monika Dudenhöffer-Pfeifer, Carmella Evans-Molina, María Mercè Fernández-Balsells, Hugo Fitipaldi, Stephanie L Fitzpatrick, Stephen E Gitelman, Mark O Goodarzi, Jessica A Grieger, Marta Guasch-Ferré, Nahal Habibi, Torben Hansen, Chuiguo Huang, Arianna Harris-Kawano, Heba M Ismail, Benjamin Hoag, Randi K Johnson, Angus G Jones, Robert W Koivula, Aaron Leong, Gloria K W Leung, Ingrid M Libman, Kai Liu, S Alice Long, William L Lowe, Robert W Morton, Ayesha A Motala, Suna Onengut-Gumuscu, James S Pankow, Maleesa Pathirana, Sofia Pazmino, Dianna Perez, John R Petrie, Camille E Powe, Alejandra Quinteros, Rashmi Jain, Debashree Ray, Mathias Ried-Larsen, Zeb Saeed, Vanessa Santhakumar, Sarah Kanbour, Sudipa Sarkar, Gabriela S F Monaco, Denise M Scholtens, Elizabeth Selvin, Wayne Huey-Herng Sheu, Cate Speake, Maggie A Stanislawski, Nele Steenackers, Andrea K Steck, Norbert Stefan, Julie Støy, Rachael Taylor, Sok Cin Tye, Gebresilasea Gendisha Ukke, Marzhan Urazbayeva, Bart Van Der Schueren, Camille Vatier, John M Wentworth, Wesley Hannah, Sara L White, Gechang Yu, Yingchai Zhang, Shao J Zhou, Jacques Beltrand, Michel Polak, Ingvild Aukrust, Elisa De Franco, Sarah E Flanagan, Kristin A Maloney, Andrew Mcgovern, Janne Molnes, Mariam Nakabuye, Pål Rasmus Njølstad, Hugo Pomares-Millan, Michele Provenzano, Cécile Saint-Martin, Cuilin Zhang, Yeyi Zhu, Sungyoung Auh, Russell De Souza, Andrea J Fawcett, Chandra Gruber, Eskedar Getie Mekonnen, Emily Mixter, Diana Sherifali, Robert H Eckel, John J Nolan, Louis H Philipson, Rebecca J Brown, Liana K Billings, Kristen Boyle, Tina Costacou, John M Dennis, Jose C Florez, Anna L Gloyn, Maria F Gomez, Peter A Gottlieb, Siri Atma W Greeley, Kurt Griffin, Andrew T Hattersley, Irl B Hirsch, Marie-France Hivert, Korey K Hood, Jami L Josefson, Soo Heon Kwak, Lori M Laffel, Siew S Lim, Ruth J F Loos, Ronald C W Ma, Chantal Mathieu, Nestoras Mathioudakis, James B Meigs, Shivani Misra, Viswanathan Mohan, Rinki Murphy, Richard Oram, Katharine R Owen, Susan E Ozanne, Ewan R Pearson, Wei Perng, Toni I Pollin, Rodica Pop-Busui, Richard E Pratley, Leanne M Redman, Maria J Redondo, Rebecca M Reynolds, Robert K Semple, Jennifer L Sherr, Emily K Sims, Arianne Sweeting, Tiinamaija Tuomi, Miriam S Udler, Kimberly K Vesco, Tina Vilsbøll, Robert Wagner, Stephen S Rich, Paul W Franks

Faculty, Staff and Students Publications

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, …

Time To Establish An International Vaccine Candidate Pool For Potential Highly Infectious Respiratory Disease: A Community’S View, Lan Yao, Hiam Chemaitelly, Emanuel Goldman, Esayas Kebede Gudina, Asma Khalil, Rahaman Ahmed, Ayorinde Babatunde James, Anna Roca, Mosoka Papa Fallah, Andrew Macnab, William C Cho, John Eikelboom, Farah Naz Qamar, Peter Kremsner, Miquel Oliu-Barton, Ivan Sisa, Birkneh Tilahun Tadesse, Florian Marks, Lishi Wang, Jerome H Kim, Xia Meng, Yongjun Wang, Alyce D Fly, Cong-Yi Wang, Sara W Day, Scott C Howard, J Carolyn Graff, Marcello Maida, Kunal Ray, Carlos Franco-Paredes, Tapfumanei Mashe, Ngashi Ngongo, Jean Kaseya, Nicaise Ndembi, Yu Hu, Maria Elena Bottazzi, Peter J Hotez, Ken J Ishii, Gang Wang, Dianjun Sun, Lotfi Aleya, Weikuan Gu

Faculty, Staff and Students Publications

In counteracting highly infectious and disruptive respiratory diseases such as COVID-19, vaccination remains the primary and safest way to prevent disease, reduce the severity of illness, and save lives. Unfortunately, vaccination is often not the first intervention deployed for a new pandemic, as it takes time to develop and test vaccines, and confirmation of safety requires a period of observation after vaccination to detect potential late-onset vaccine-associated adverse events. In the meantime, nonpharmacologic public health interventions such as mask-wearing and social distancing can provide some degree of protection. As climate change, with its environmental impacts on pathogen evolution and international …

Age-Related Differences In The Contribution Of Systolic Blood Pressure And Biomarkers To Cardiovascular Disease Risk Prediction: The Atherosclerosis Risk In Communities (Aric) Study, Mahmoud Al Rifai, George E Taffet, Kunihiro Matsushita, Salim S Virani, James De Lemos, Amit Khera, Jarrett Berry, Chiadi Ndumele, David Aguilar, Caroline Sun, Ron C Hoogeveen, Elizabeth Selvin, Christie M Ballantyne, Vijay Nambi

Faculty, Staff and Students Publications

We sought to determine how biomarkers known to be associated with hypertension-induced end-organ injury complement the use of systolic blood pressure (SBP) for cardiovascular disease (CVD) risk prediction at different ages. Using data from visits 2 (1990 to 1992) and 5 (2011 to 2013) of the Atherosclerosis Risk in Communities (ARIC) study, 3 models were used to predict CVD (composite of coronary heart disease, stroke, and heart failure). Model A included traditional risk factors (TRFs) except SBP, model B-TRF plus SBP, and model C-TRF plus biomarkers (high-sensitivity troponin T [hsTnT] and N-terminal pro-B-type natriuretic peptide [NT-proBNP]). Harrel's C-statistics were used …

Views Of Adolescents And Young Adults With Cancer And Their Oncologists Toward Patients' Participation In Genomic Research, Amanda M Gutierrez, Jill O Robinson, Robin Raesz-Martinez, Isabel Canfield, Mary A Majumder, Sarah Scollon, Lauren R Desrosiers, Rebecca L Hsu, Wendy Allen-Rhoades, D Williams Parsons, Sharon E Plon, Amy L Mcguire, Janet Malek

Faculty, Staff and Students Publications

Purpose:

With increased use of genomic testing in cancer research and clinical care, it is important to understand the perspectives and decision-making preferences of adolescents and young adults (AYAs) with cancer and their treating oncologists.

Methods:

We conducted an interview substudy of the BASIC3 Study, which enrolled newly diagnosed cancer patients <18 years of age with assent. Of 32 young adults (YAs) with cancer who reached the age of majority (AOM; 18 years) while on study, 12 were successfully approached and all consented to study continuation at AOM. Of those, seven completed an interview. Patients' oncologists, who enrolled and participated in return of clinical genomic results, were also interviewed (n = 12). Interviews were transcribed, deidentified, and analyzed using thematic analysis.

Results:

YAs cited the possibility of helping others and advancing science as major reasons for their assent to initial study enrollment and their willingness to consent at AOM. YAs thought obtaining informed consent from research participants for …

Autophagy Modulation And Its Implications On Glioblastoma Treatment, Johnny Chen, Andrea Salinas Rodriguez, Maximiliano Arath Morales, Xiaoqian Fang

School of Medicine Publications

Autophagy is a vital cellular process that functions to degrade and recycle damaged organelles into basic metabolites. This allows a cell to adapt to a diverse range of challenging conditions. Autophagy assists in maintaining homeostasis, and it is tightly regulated by the cell. The disruption of autophagy has been associated with many diseases, such as neurodegenerative disorders and cancer. This review will center its discussion on providing an in-depth analysis of the current molecular understanding of autophagy and its relevance to brain tumors. We will delve into the current literature regarding the role of autophagy in glioma pathogenesis by exploring …

The Bridwell Quill. Issues 60-62: Land Of Books & Oranges, Anthony Elia

Bridwell Library Publications

No abstract provided.

Pediatric Status Epilepticus Management By Emergency Medical Services (The Pserg Cohort), Marta Amengual-Gual, Iván Sánchez Fernández, Alejandra Vasquez, Nicholas S Abend, Anne Anderson, Ravindra Arya, Cristina Barcia Aguilar, J Nicholas Brenton, Jessica L Carpenter, Kevin E Chapman, Justice Clark, Raquel Farias-Moeller, William D Gaillard, Tracy A Glauser, Joshua L Goldstein, Howard P Goodkin, Yi-Chen Lai, Mohamad A Mikati, Lindsey A Morgan, Edward J Novotny, Adam P Ostendorf, Eric T Payne, Katrina Peariso, Juan Piantino, Latania Reece, James J Riviello, Kumar Sannagowdara, Theodore Sheehan, Robert C Tasker, Dmitry Tchapyjnikov, Alexis A Topjian, Mark S Wainwright, Angus Wilfong, Korwyn Williams, Tobias Loddenkemper

Faculty, Staff and Students Publications

Purpose: Delayed treatment in status epilepticus (SE) is independently associated with increased treatment resistance, morbidity, and mortality. We describe the prehospital management pathway and Emergency Medical Services (EMS) timeliness in children who developed refractory convulsive status epilepticus (RCSE).

Methods: Retrospective multicenter study in the United States using prospectively collected observational data from June 2011 to March 2020. We selected pediatric patients (one month-21 years) with RCSE initiated outside the hospital and transported to the hospital by EMS.

Results: We included 91 patients with a median (percentile25-percentile75) age of 3.0 (1.5-7.3) years. The median time from seizure onset to hospital arrival …

The Interaction Between Autophagy, Helicobacter Pylori, And Gut Microbiota In Gastric Carcinogenesis, Ali Nabavi-Rad, Abbas Yadegar, Amir Sadeghi, Hamid Asadzadeh Aghdaei, Mohammad Reza Zali, Daniel J Klionsky, Yoshio Yamaoka

Faculty, Staff and Students Publications

Chronic infection with Helicobacter pylori is the primary risk factor for the development of gastric cancer. Hindering our ability to comprehend the precise role of autophagy during H. pylori infection is the complexity of context-dependent autophagy signaling pathways. Recent and ongoing progress in understanding H. pylori virulence allows new frontiers of research for the crosstalk between autophagy and H. pylori. Novel approaches toward discovering autophagy signaling networks have further revealed their critical influence on the structure of gut microbiota and the metabolome. Here we intend to present a holistic view of the perplexing role of autophagy in H. pylori pathogenesis …

Seminar: Extracellular Vesicles As Mediators Of Environmental Stress In Human Disease, Vrinda Kalia, Andrea A Baccarelli, Christine Happel, Jonathan A Hollander, Anne Marie Jukic, Kimberly A Mcallister, Ramkumar Menon, Bruce A Merrick, Aleksander Milosavljevic, Lingamanaidu V Ravichandran, Matthew E Roth, Anita Subramanian, Frederick L Tyson, Leroy Worth, Daniel T Shaughnessy

Faculty, Staff and Students Publications

Background: Extracellular vesicles (EVs), membrane-bound particles containing a variety of RNA types, DNA, proteins, and other macromolecules, are now appreciated as an important means of communication between cells and tissues, both in normal cellular physiology and as a potential indicator of cellular stress, environmental exposures, and early disease pathogenesis. Extracellular signaling through EVs is a growing field of research for understanding fundamental mechanisms of health and disease and for the potential for biomarker discovery and therapy development. EVs are also known to play important roles in mediating the effects of exposure to environmental stress.

Objectives: This seminar addresses the application …

Texas Developmental Center For Aids Research Cfar Diversity, Equity, And Inclusion Pathway Initiative Program, Fred A Pereira, Alana D Newell, Andrew P Rice

Faculty, Staff and Students Publications

BACKGROUND: The Texas Developmental Center for AIDS Research (D-CFAR) diversity program, termed the CFAR Diversity, Equity, and Inclusion Pathway Initiative (CDEIPI), was created in 2021 to engage high school students and graduate students from Underrepresented Minorities/Black, Indigenous, and People of Color populations.

SETTING: The Texas D-CFAR CDEIPI has partnered with 2 Texas high schools with predominantly economically disadvantaged and minority student populations-Michael E. DeBakey High School for Health Professions in Houston, TX, and the South Texas Independent School District Medical Professions High School in Olmito, TX in the Rio Grande Valley.

METHODS: A total of 370 high school student learners …

Bioimpedance Analysis Predicts The Etiology Of Cirrhosis In A Prospective Cohort Study, Hashem B El-Serag, Ghida Akhdar, Aaron P Thrift, Michelle Luster, Saira Khaderi, Abeer Alsarraj, Hao Duong, Fasiha Kanwal

Faculty, Staff and Students Publications

BACKGROUND: Obesity is associated with an increased risk of developing cirrhosis. However, body mass index (BMI) and waist-to-hip ratio (WHR) may not be indicative of body composition parameters that predispose to cirrhosis. Bioimpedance analysis (BIA) is a noninvasive cost-efficient method for more detailed estimation of body composition.

METHODS: We examined patients with cirrhosis who underwent BIA as part of enrollment into a prospective cohort study. We examined the correlation between BIA variables, BMI, and WHR. We performed sex-adjusted and race-adjusted and race-specific multivariable logistic regression analyses to examine the association between anthropometric variables and risk factors [NAFLD, alcohol-associated liver disease …

Supplemental Issue Of The Journal Of The Acquired Immune Deficiency Syndromes (Jaids): The Centers For Aids Research (Cfar) Diversity, Equity, And Inclusion Pathway Initiative (Cdeipi), Alan E Greenberg, Anthony K Wutoh, Lisa Bowleg, Manya Magnus, Brandi Robinson, Lorena Segarra, Eric Refsland

Faculty, Staff and Students Publications

No abstract provided.

Malware Pattern Of Life Analysis, Mar Castro

Masters Theses & Doctoral Dissertations

Many malware classifications include viruses, worms, trojans, ransomware, bots, adware, spyware, rootkits, file-less downloaders, malvertising, and many more. Each type may share unique behavioral characteristics with its methods of operations (MO), a pattern of behavior so distinctive that it could be recognized as having the same creator. The research shows the extraction of malware methods of operation using the step-by-step process of Artificial-Based Intelligence (ABI) with built-in Density-based spatial clustering of applications with noise (DBSCAN) machine learning to quantify the actions for their similarities, differences, baseline behaviors, and anomalies. The collected data of the research is from the ransomware sample …