Digital Commons Network^™

Vaginal And Rectal Microbiome Changes Following Administration Of A Multi-Species Antenatal Probiotic: A Randomized Control Trial, Emily Malloy, Ashley Kates, Jonah Dixon, Colleen Riley, Nasia Safdar, Lisa Hanson

College of Nursing Faculty Research and Publications

The gut and vaginal microbiome undergo changes during pregnancy which may be protective or harmful to the birthing person. Probiotics have been found to cause protective changes to the gut and vaginal microbiomes, with the potential to improve perinatal outcomes. This randomized control trial compares the vaginal and rectal microbiomes before and after an antenatal probiotic or placebo intervention, with a diverse group of pregnant people and a special focus on racial disparities. The vaginal and rectal microbiomes reveal non-significant increased Lactobacillus in the probiotics group, with a greater increase in participants who identified as Black. Potential implications and future …

Antiangiogenic Therapy Combined With Immune Checkpoint Blockade In Urothelial Cancer: Systematic Review And Meta-Analysis, Mohammad Jad Moussa, Iuliia Kovalenko, Emanuele Crupi, Ekaterina Proskuriakova, Yimin Geng, Giuseppe Fallara, Raed Benkhadra, Daniele Raggi, Matthew T. Campbell, Pavlos Msaouel, Omar Alhalabi

Department of Medicine Faculty Publications

Background: Antiangiogenic therapy had been tested in urothelial cancer (UC) without reaching the clinic.

Objective: We provide a systematic review and meta-analysis of trials to assess efficacy of immune checkpoint inhibitors (ICI) combined with antiangiogenic agents in UC.

Methods: Following PRISMA guidelines, we searched for trials with at least one arm of patients with UC treated with ICI plus antiangiogenics. Data were analyzed with the "meta" package from R using a one-staged frequentist meta-analysis.

Results: After screening 13,708 titles and abstracts, 9 studies were selected for analysis with 14 identified cohorts comprising 621 patients: 448 were ICI-naïve (ICI-N) and 173 …

A Search For Bacteria Identified From Cerebrospinal Fluid Shunt Infections In Previous Surgical Events, Paul Hodor, Christopher E. Pope, Kathryn B. Whitlock, Patrick J. Mcdonald, Jason Hauptman, Lucas R. Hoffman, David D. Limbrick Jr., Tamara D. Simon, Cerebrospinal Fluid Microbiota In Shunts (Climb) Study Group

2020-Current year OA Pubs

Shunt infections are a common complication when treating hydrocephalus by cerebrospinal fluid (CSF) shunt placement. The source of infecting pathogens is not well understood. One hypothesis, which we explored here, is that microorganisms persist chronically in the host long before a symptomatic infection occurs and may be detectable in surgical events preceding infection. A cohort of 13 patients was selected, for which CSF samples were available from an infection episode and from a previous surgery event, which was either an initial shunt placement or a revision. Microbiota were analyzed both directly from CSF and from isolates cultured from CSF on …

Multiple Unfolded Protein Response Pathways Cooperate To Link Cytosolic Dsdna Release To Stimulator Of Interferon Gene Activation, Tiancheng Hu, Yiping Liu, Jeremy Fleck, Cason King, Elaine Schalk, Zhenyu Zhang, Andrew Mehle, Judith A Smith

Faculty, Staff and Student Publications

The double-stranded DNA (dsDNA) sensor STING has been increasingly implicated in responses to "sterile" endogenous threats and pathogens without nominal DNA or cyclic di-nucleotide stimuli. Previous work showed an endoplasmic reticulum (ER) stress response, known as the unfolded protein response (UPR), activates STING. Herein, we sought to determine if ER stress generated a STING ligand, and to identify the UPR pathways involved. Induction of IFN-β expression following stimulation with the UPR inducer thapsigargin (TPG) or oxygen glucose deprivation required both STING and the dsDNA-sensing cyclic GMP-AMP synthase (cGAS). Furthermore, TPG increased cytosolic mitochondrial DNA, and immunofluorescence visualized dsDNA punctae in …

Post-Covid-19 Cognitive Symptoms In Patients Assisted By A Teleassistance Service: A Retrospective Cohort Study, Lívia Paula Freire Bonfim, Thais Rotsen Correa, Bruno Cabaleiro Cortizo Freire, Thais Marques Pedroso, Daniella Nunes Pereira, Thalita Baptisteli Fernandes, Luciane Kopittke, Clara Rodrigues Alves De Oliveira, Antonio Lucio Teixeira, Milena Soriano Marcolino

Faculty, Staff and Student Publications

INTRODUCTION: Four years after the onset of the COVID-19 pandemic, the frequency of long-term post-COVID-19 cognitive symptoms is a matter of concern given the impact it may have on the work and quality of life of affected people.

OBJECTIVE: To evaluate the incidence of post-acute COVID-19 cognitive symptoms, as well as the associated risk factors.

METHODS: Retrospective cohort, including outpatients with laboratory-confirmed COVID-19 and who were assisted by a public telehealth service provided by the Telehealth Network of Minas Gerais (TNMG), during the acute phase of the disease, between December/2020 and March/2022. Data were collected through a structured questionnaire, applied …

Chronic Lymphocytic Leukemia: Novel Perspectives - How To Teach An Old Dog New Tricks, Tamar Tadmor, Jan Burger

Faculty, Staff and Student Publications

No abstract provided.

Enabling Smart Healthcare Applications Through Visible Light Communication Networks, Jack Manhardt

Masters Theses

"Future smart healthcare operations are envisioned to require the support of high-performance wireless networks. Researchers are presented with a problem, however, as the hospital environment brings unique challenges to the application of traditional radio-frequency wireless communication networks due to health concerns and electromagnetic compatibility standards. To meet these challenges and support the advancement of high-quality healthcare, we propose the use of an alternative wireless technology in visible light communication (VLC). Contributing to the growing interest in VLC amongst researchers, we construct both a VLC network simulation testbed as well as real-world testbed to serve as a platform for the development …

Regional Variation In The Role Of Humidity On City-Level Heat-Related Mortality, Multi-Country Multi-City (Mcc) Collaborative Network, Patrick Goodman

Articles

The rising humid heat is regarded as a severe threat to human survivability, but the proper integration of humid heat into heat-health alerts is still being explored. Using state-of-the-art epidemiological and climatological datasets, we examined the association between multiple heat stress indicators (HSIs) and daily human mortality in 739 cities worldwide. Notable differences were observed in the long-term trends and timing of heat events detected by HSIs. Air temperature (Tair) predicts heat-related mortality well in cities with a robust negative Tair-relative humidity correlation (CT-RH). However, in cities with near-zero or weak positive CT-RH, HSIs considering humidity provide enhanced predictive power …

Synergistic Effects Of Β-Nafeo2 Ferrite Nanoparticles For Photocatalytic Degradation, Antibacterial, And Antioxidant Applications†, Forsad Al Hossain, M Tanjid Hasan Tonmoy, Sri Nuvvula, Brittany P Chapman, Rajesh K Gupta, Andrew A Lover, Rhoel R Dinglasan, Stephanie Carreiro, Tauhidur Rahman

Faculty, Staff and Student Publications

Syndromic surveillance is an effective tool for enabling the timely detection of infectious disease outbreaks and facilitating the implementation of effective mitigation strategies by public health authorities. While various information sources are currently utilized to collect syndromic signal data for analysis, the aggregated measurement of cough, an important symptom for many illnesses, is not widely employed as a syndromic signal. With recent advancements in ubiquitous sensing technologies, it becomes feasible to continuously measure population-level cough incidence in a contactless, unobtrusive, and automated manner. In this work, we demonstrate the utility of monitoring aggregated cough count as a syndromic indicator to …

Therapeutic Efficacy Of A Potent Anti-Venezuelan Equine Encephalitis Virus Antibody Is Contingent On Fc Effector Functionslc6a1 Variant Pathogenicity, Molecular Function And Phenotype: A Genetic And Clinical Analysis, Jennifer L Schwedler, Maxwell A Stefan, Christine E Thatcher, Peter R Mcilroy, Anupama Sinha, Ashlee M Phillips, Christopher A Sumner, Colleen M Courtney, Christina Y Kim, Dina R Weilhammer, Brooke Harmon

Faculty, Staff and Student Publications

The development of specific, safe, and potent monoclonal antibodies (Abs) has led to novel therapeutic options for infectious disease. In addition to preventing viral infection through neutralization, Abs can clear infected cells and induce immunomodulatory functions through engagement of their crystallizable fragment (Fc) with complement proteins and Fc receptors on immune cells. Little is known about the role of Fc effector functions of neutralizing Abs in the context of encephalitic alphavirus infection. To determine the role of Fc effector function in therapeutic efficacy against Venezuelan equine encephalitis virus (VEEV), we compared the potently neutralizing anti-VEEV human IgG F5 (hF5) Ab …

Black Teachers, Black Students, And Cultural Brokering: Leveraging Positionality To Strengthen Academic Identity, Shakasha L. Stevenson

Theses and Dissertations

This study utilized a phenomenological photovoice approach to understand the lived experiences of veteran Black high school teachers. Black teachers are positioned to serve as cultural brokers to support the academic identity of Black students. The prevalence of symbolic violence in the Eurocentric curriculum and other curricular practices continues to hinder successful outcomes for Black students. The study leverages the experiences of Black teachers to understand how their positionalities influence their decision-making and pedagogical practices.

The literature review explored research on the social and political implications of Black education, Black identity development, cultural brokering, and academic identity. More specifically, the …

A Qualitative Descriptive Study Of The Perspectives Of Health Care Leaders Concerning The Implementation Of Telehealth, Gary Gerard Camille

Theses and Dissertations

The purpose of this qualitative descriptive study was to explore how healthcare leaders on the east coast United States described the role of implementing, the outer setting, inner setting, individual characteristics, and the process when implementing telehealth in a patient-centered care environment in hospitals and healthcare facilities.

The study used a qualitative method with a descriptive design to capture the descriptions of the participant’s experience during the implementation of telehealth in a patient centered care environment in different health care facilities in east coast of the United States. Due to the onset of the Covid-19 pandemic, the interview sessions and …

Probing The Anoxic World Of Coastal Marine Sediments In New England: Understanding The Novel Partnership Between Protists And Their Bacterial Symbionts, Raúl A. Gutiérrez

Open Access Master's Theses

In the oxygen-depleted environments of New England's coastal marine sediment, microbial communities engage in symbiotic interactions to overcome energy deficiencies from oxygen limitation. Among these interactions, ciliates, known for their ability to form diverse symbiotic relationships, play a prominent role. The ciliated protozoa, Metopus sp. commonly form symbiotic relationships with bacteria and archaea that support their fermentative metabolism (Fenchel and Finlay, 1995), though the diversity of these partnerships, particularly in the ocean, is poorly known. To gain insights into the interactions between Metopus ciliate cultures and their microbial partners, we employed Fluorescence in Situ Hybridization (FISH) with species-specific probes. We …

Procalcitonin In Bacterial Pneumonia, Children's Mercy Kansas City

Clinical Critically Appraised Topics

No abstract provided.

Evaluating Chatgpt Performance In Arabic Dialects: A Comparative Study Showing Defects In Responding To Jordanian And Tunisian General Health Prompts, Malik Sallam, Dhia Mousa

Mesopotamian Journal of Artificial Intelligence in Healthcare

Background: The role of artificial intelligence (AI) is increasingly recognized to enhance digital health literacy. There is of particular importance with widespread availability and popularity of AI chatbots such as ChatGPT and its possible impact on health literacy. The involves the need to understand AI models’ performance across different languages, dialects, and cultural contexts. This study aimed to evaluate ChatGPT performance in response to prompting in two different Arabic dialects, namely Tunisian and Jordanian. Methods: This descriptive study followed the METRICS checklist for the design and reporting of AI based studies in healthcare. Ten general health queries were translated into …

Machine Learning Based Lung Disease Prediction Using Convolutional Neural Network Algorithm, M. Sahaya Sheela, G. Amirthayogam, J. Jasmine Hephzipah, S. Gopalakrishnan, S. Ravi Chand

Mesopotamian Journal of Artificial Intelligence in Healthcare

Lung disease prediction is a critical issue in today's world. However, in the past two years, the corona virus disease 2019 (COVID-19) has a broad range and, in a limited percentage of people, a notable effect on the lungs. In the past, the fuzzy logic method has been used to classify lung disease prediction, but it has faced challenges such as difficulties in identifying segmented regions and output inaccuracies. To solve the issue Convolutional neural networks are used in machine learning to predict lung condition. The preprocessing based weighted average filter gives greater weight to the central value, making its …

Modeling The Effect Of Observational Social Learning On Parental Decision-Making For Childhood Vaccination And Diseases Spread Over Household Networks, Tamer Oraby, Andras Balogh

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we introduce a novel model for parental decision-making about vaccinations against a childhood disease that spreads through a contact network. This model considers a bilayer network comprising two overlapping networks, which are either Erdős–Rényi (random) networks or Barabási–Albert networks. The model also employs a Bayesian aggregation rule for observational social learning on a social network. This new model encompasses other decision models, such as voting and DeGroot models, as special cases. Using our model, we demonstrate how certain levels of social learning about vaccination preferences can converge opinions, influencing vaccine uptake and ultimately disease spread. In addition, …

Ivermectin, Colleen Aldous, Eleftherios Gkioulekas, Philip Oldfield

School of Mathematical & Statistical Sciences Faculty Publications

No abstract provided.

Protein Subunit Vaccines: Promising Frontiers Against Covid-19, Vivek P. Chavda, Eswara Naga Hanuma Kumar Ghali, Pankti C. Balar, Subhash Chauhan, Nikita Tiwari, Somanshi Shukla, Mansi Athalye, Vandana Bharat Patravale, Vasso Apostolopoulos, Murali Yallapu

School of Medicine Publications

The emergence of COVID-19 has posed an unprecedented global health crisis, challenging the healthcare systems worldwide. Amidst the rapid development of several vaccine formulations, protein subunit vaccines have emerged as a promising approach. This article provides an in-depth evaluation of the role of protein subunit vaccines in the management of COVID-19. Leveraging viral protein fragments, particularly the spike protein from SARS-CoV-2, these vaccines elicit a targeted immune response without the risk of inducing disease. Notably, the robust safety profile of protein subunit vaccines makes them a compelling candidate in the management of COVID-19. Various innovative approaches, including reverse vaccinology, virus …

Pharyngitis- Antibiotic Duration, Children's Mercy Kansas City

Clinical Critically Appraised Topics

No abstract provided.

Iot Revolutionizes Humidity Measurement And Management In Smart Cities To Enhance Health And Wellness, Pushan Kumar Dutta, Bhupinder Singh, Al-Sayed K. Towfeek, Jovanna Pantelis Adamopoulou, Antonis Nikos Bardavouras, Wilson Bamwerinde, Benson Turyasingura, Natal Ayiga

Mesopotamian Journal of Artificial Intelligence in Healthcare

This paper sets itself in a context of examining how IoT technology is disrupting and revolutionizing the monitoring and control of relative humidity in different spheres of smart cities with special reference to the enhancement of well-being in the information society. The authors discuss the current emergent research topics in IoT-based humidity sensors, wireless communication systems, and big data analytics for monitoring and controlling the humidity in real time. The paper also presents an outlook into various fields such as agriculture, healthcare, intelligent houses, industries, as well as the environment, and presents an indication of how managing humidity accurately enhances …

Hybrid Model Approaches For Accurate Time Series Predicting Of Covid-19 Cases, Hussein Alkattan, Bashar Talib Al-Nuaimi, Alhumaima Ali Subhi, Benson Turyasingura

Mesopotamian Journal of Artificial Intelligence in Healthcare

This study compares the performance of ARIMA, LSTM, and hybrid models in predicting COVID-19 cases and analyzing forecast errors. Utilizing real-world data, the models were assessed for accuracy and trend prediction over numerous months. Heatmaps of prediction errors revealed that the hybrid model reliably outperformed ARIMA and LSTM by accomplishing lower error extents. The findings highlight the preferences of combining statistical and deep learning approaches for time series predicting. The results contribute to progressing predicting accuracy, which is basic for pandemic response arranging and public health administration.

A Comprehensive Review On Cryptographic Techniques For Securing Internet Of Medical Things: A State-Of-The-Art, Applications, Security Attacks, Mitigation Measures, And Future Research Direction, Wamusi Robert, Asiku Denis, Adebo Thomas, Aziku Samuel, Simon Peter Kabiito, Zaward Morish, Guma Ali

Mesopotamian Journal of Artificial Intelligence in Healthcare

As healthcare becomes increasingly dependent on the Internet of Medical Things (IoMT) infrastructure, it is essential to establish a secure system that guarantees the confidentiality and privacy of patient data. This system must also facilitate the secure sharing of healthcare information with other parties within the healthcare ecosystem. However, this increased connectivity also introduces cybersecurity attacks and vulnerabilities. This comprehensive review explores the state-of-the-art in the IoMT, security requirements in the IoMT, cryptographic techniques in the IoMT, application of cryptographic techniques in securing the IoMT, security attacks on cryptographic techniques, mitigation strategies, and future research directions. The study adopts a …

Lessons Learned: Drive-Through Covid-19 Clinic Testing During An Adaptive Epidemic Response And A Point-Of-Care Test Assessment Of A Computer-Read Rapid Lateral Flow Immunoassay With Fluorescence-Based Detection, Leah Rankine-Wilson, Teresa Oncken, Irshan Basrewan, Courtney Jeffery, Todd M. Pryce, Rebecca Wake, Aus A.L. Molan, T. F. Paton, Tim J.J. Inglis

Research outputs 2022 to 2026

Background. The COVID-19 pandemic demonstrated a need for robust SARS-CoV-2 test evaluation infrastructure to underpin biosecurity and protect the population during a pandemic health emergency. Gap statement. The first generation of rapid antigen tests was less accurate than molecular methods due to their inherent sensitivity and specificity shortfalls, compounded by the consequences of self-testing. This created a need for more accurate point-of-care SARS-CoV-2 detection methods. Aim. Here we present the lessons-learned during the COVID-19 emergency response in Western Australia including the detailed set-up, evaluation and operation of rapid antigen test in a state-run drive-through sample collection service during the COVID-19 …

Amplifying Pcr Productivity And Environmental Sustainability Through Shortened Cycling Protocols, Matthew Pedlar, Matthew J. Emery, Philip J. Warburton

School of Biological and Marine Sciences

Since its inception in the 1980s, advancements in PCR technology using improved thermal cyclers, engineered DNA polymerases and commercial master mixes, have led to increased PCR productivity. Despite these advancements, PCR cycling protocols have largely remained unchanged over the same period. This study aimed to systemically evaluate the effect of reduced PCR cycling parameters on amplicon production. The 1466bp fragment from the 16S rRNA gene present in low-, medium- and high-CG bacteria was amplified using three commercially available PCR master mixes. The shortest cycling parameters required to successfully amplify the 16S fragment from all bacteria and master mixes comprised 30-cycles …

Tracking People Across Ultra Populated Indoor Spaces By Matching Unreliable Wi-Fi Signals With Disconnected Video Feeds, Quang Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, Jeong Gil Ko, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Tracking in dense indoor environments where several thousands of people move around is an extremely challenging problem. In this paper, we present a system — DenseTrack for tracking people in such environments. DenseTrack leverages data from the sensing modalities that are already present in these environments — Wi-Fi (from enterprise network deployments) and Video (from surveillance cameras). We combine Wi-Fi information with video data to overcome the individual errors induced by these modalities. More precisely, the locations derived from video are used to overcome the localization errors inherent in using Wi-Fi signals where precise Wi-Fi MAC IDs are used to …

Mapping Metaverse Research To The Sustainable Development Goal Of Good Health And Well-Being, Raghu Raman, Laurie Hughes, Santanu Mandal, Payel Das, Prema Nedungadi

Research outputs 2022 to 2026

The rise of the metaverse - a convergence of virtually enhanced physical reality and persistent virtual spaces - presents transformative potential for the healthcare sector. This study systematically explores how metaverse technologies, such as virtual reality (VR), augmented reality (AR), mixed reality (MR), and digital twins, contribute to achieving United Nations Sustainable Development Goal 3 (SDG3), which focuses on good health and well-being. By integrating these technologies, the metaverse offers innovative solutions for telemedicine, medical training, mental health support, public health education, and global medical research collaboration. This study maps the current research landscape, highlighting the capacity of metaverse technologies …

Summary Of Aboriginal And Torres Strait Islander Health Status - Selected Topics 2023, Australian Indigenous Healthinfonet

Research outputs 2022 to 2026

Aboriginal and Torres Strait Islander people have lived on their traditional lands across Australia, including the Torres Strait Islands, for upwards of 50,000 years and their continuity, history and cultural traditions are unrivalled in the world [1,2] . Before colonisation, Aboriginal and Torres Strait Islander people lived in family and community groups, and moved across the land following seasonal changes [1] . Aboriginal and Torres Strait Islander people developed complex societies, trading systems and agricultural activities that were celebrated and recorded in dance, song and stories [2] . The Aboriginal and Torres Strait Islander concept of health is not just …

Advanced Detection Of Sars-Cov-2 And Omicron Variants Via Mxene-Graphene Hybrid Biosensors Utilizing Nucleic Acid Probes, Jiaoli Li, Yuwei Zhang, Congjie Wei, Yanxiao Li, Zhekun Peng, Hsin Yin Chuang, Logan Pearce, Adrianus Boon, Yue-Wern Huang, Dong Hyun Kim, Risheng Wang, Chenglin Wu

Biological Sciences Faculty Research & Creative Works

Low-cost biosensors that can rapidly and widely detect viruses are critical for faster diagnosis and treatment decision-making, especially for infections. The commonly used field-effect transistor is sensitive to the biomarker's detection but struggles with precise detection, particularly of nontargets such as ions and proteins. To overcome this limitation, we developed a field-effect transistor biosensor design based on MXene-graphene materials to increase the accuracy and sensitivity of virus detection. Based on the hybridization process between two complementary DNA strands, single-stranded nucleic acids were immobilized on the sensing surface via 3-aminopropyltriethoxysilane and glutaraldehyde to capture the nucleic acids of the target virus. …

The Assessment Of Knowledge Management Dimensions In The Libraries Of Khorasan Razavi Universities, Alireza Atarodi, Soraya Ziaei, Jamileh Naeimi, Hassan Shojaee-Mend

Library Philosophy and Practice (e-journal)

Introduction: This study aims to assess knowledge management aspects in central libraries of Islamic Azad University, Ministry of Science, Research and Technology, and Ministry of Health, Treatment, and Medical Education in Khorasan Razavi Province, Iran.

Methods: Conducted through a survey-analytical approach, this study focused on librarians with library education in central university libraries of Khorasan Razavi Province. A sample size of 102 individuals was selected using Cochran's formula. Validity and reliability of a researcher-developed questionnaire were confirmed. Hypotheses were tested with Wilcoxon and Kruskal-Wallis tests using SPSS-20.

Results: University libraries in Khorasan Razavi Province display inadequacies in …