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Articles 39121 - 39150 of 1791789
Full-Text Articles in Entire DC Network
Bedford Avenue Associates V. Gurley
Bedford Avenue Associates V. Gurley
All Decisions
In this project-based Section 8 non-payment proceeding, the tenant moved for summary judgment and an order to correct. The court granted the tenant's unopposed motion, dismissing the landlord's non-payment claim without prejudice due to the landlord's failure to serve the required Violence Against Women Act (VAWA) notice with the termination notice. The court also granted the tenant's demand for an order to correct housing violations, finding nine open violations in the apartment as per DHPD's report.
The Role Of Micrornas As Potential Biomarkers In Diffuse Large B-Cell Lymphoma, Eirini Panteli, Epameinondas Koumpis, Vasileios Georgoulis, Georgios Petros Barakos, Evangelos Kolettas, Panagiotis Kanavaros, Alexandra Papoudou-Bai, Eleftheria Hatzimichael
The Role Of Micrornas As Potential Biomarkers In Diffuse Large B-Cell Lymphoma, Eirini Panteli, Epameinondas Koumpis, Vasileios Georgoulis, Georgios Petros Barakos, Evangelos Kolettas, Panagiotis Kanavaros, Alexandra Papoudou-Bai, Eleftheria Hatzimichael
Computational Medicine Center Faculty Papers
Diffuse large B-cell lymphoma (DLBCL) is the most common and clinically aggressive subtype of non-Hodgkin lymphoma (NHL). While novel therapies such as rituximab and polatuzumab vedotin have led to improved outcomes, approximately 35% of patients eventually develop relapsed or refractory disease. MicroRNAs (miRNAs), a class of endogenous single-stranded RNAs approximately 22 nucleotides in length, play a pivotal role in the regulation of gene expression at the post-transcriptional level through interactions with complementary target RNAs and contribute significantly to the development, progression, and treatment response of DLBCL. Oncogenic miRNAs, such as miR-155, miR-21, and the miR-17-92 cluster, promote proliferation, survival, immune …
January 2026, Office Of Sustainability
January 2026, Office Of Sustainability
Office of Sustainability Newsletter
No abstract provided.
Coworkers' Lived Experiences Of Being Exposed To Healthcare Professionals Misusing Substances, Juratu Garuba-Agbebaku
Coworkers' Lived Experiences Of Being Exposed To Healthcare Professionals Misusing Substances, Juratu Garuba-Agbebaku
Walden Dissertations and Doctoral Studies
Despite the harm of substances, coworkers in hospitals, healthcare facilities, and urgent care centers found themselves among healthcare professionals who misused substances such as alcohol and prescription medication. Grounded in social cognitive theory, the purpose of this qualitative descriptive phenomenological study was to explore the lived experiences of coworkers who have been exposed to healthcare professionals’ substance misuse. The participants consisted of 12 healthcare professionals working in various hospitals, healthcare facilities, and urgent care centers in the United States. Data were collected using semistructured interviews. Through Colaizzi’s seven-step analysis, five themes emerged: (a) emotional experiences, (b) ethical reflections, (c) cognitive …
Exploring Parenting Experiences: Fathers And Mothers Raising A Child With Autism, Simmi Santha
Exploring Parenting Experiences: Fathers And Mothers Raising A Child With Autism, Simmi Santha
Walden Dissertations and Doctoral Studies
The experiences of parenting a child with autism spectrum disorder (ASD) have been widely studied in Western contexts. Still, limited research has explored how sociocultural factors shape these experiences in India. This qualitative study aims to address this gap by exploring and comparing the lived experiences of mothers and fathers raising a child with ASD in Kerala, India. The purpose of this study was to investigate how gender roles, cultural expectations, and social structures impact parental adaptation, coping, and caregiving practices. Bronfenbrenner’s ecological systems theory and Crenshaw’s ideas of intersectionality provide the conceptual framework of this study. Using an interpretative …
Community College Faculty Experiences As Post-Pandemic Online Instructors, Irene Arshad
Community College Faculty Experiences As Post-Pandemic Online Instructors, Irene Arshad
Walden Dissertations and Doctoral Studies
The COVID-19 pandemic caused a sudden transition from face-to-face to online instruction. The problem that was addressed through this study is that little is known about the experiences of community college faculty members when teaching online in the post-pandemic era. Grounded in Hall’s and Hord’s concerns-based adoption model, the purpose of this qualitative study was to explore the experiences of community college faculty members’ perceptions of their teaching experiences working online post-pandemic. For this basic qualitative design, data were collected through semistructured interviews with 10 community college faculty. A thematic analysis of the data revealed the following six themes: (1) …
Understanding Recruitment To A Randomised Controlled Trial (Rct) During Liver Transplantation: An Observational Mixed-Methods Study Within A Trial (Swat), Katherine Elizabeth Sarah Coppack, Ilya Kantsedikas, Edgar Brodkin, Ee Neng Loh, Gareth Ambler, Suneetha Ramani Moonesinghe, Jeremy Fabes, Vivienne Hannon, Michael Spiro, Duncan Wagstaff
Understanding Recruitment To A Randomised Controlled Trial (Rct) During Liver Transplantation: An Observational Mixed-Methods Study Within A Trial (Swat), Katherine Elizabeth Sarah Coppack, Ilya Kantsedikas, Edgar Brodkin, Ee Neng Loh, Gareth Ambler, Suneetha Ramani Moonesinghe, Jeremy Fabes, Vivienne Hannon, Michael Spiro, Duncan Wagstaff
Peninsula Medical School
Objectives Perioperative randomised controlled trials (RCTs) in liver transplantation are relatively infrequent. RCTs performed in this complex patient population need to be robustly conducted to maximise patient benefit and graft utility given the scarcity of donor organs. Recruitment challenges can compromise RCTs and studies in this population face unique challenges due to recipient illness severity, their comorbidities, demographics and the geographical constraints of specialist transplant centres. Emergency presentation and after-hours admission may further limit patients’ capacity or readiness to consider trial participation. This Study Within a Trial (SWAT) specifically explored motivators and barriers to recruitment in patients awaiting liver transplantation.Design …
A Policy Reversal As Structural Break: A Lesson From China’S Land Lease Financing For Infrastructure, Yilin Hou, Lin Li, Lei Shao
A Policy Reversal As Structural Break: A Lesson From China’S Land Lease Financing For Infrastructure, Yilin Hou, Lin Li, Lei Shao
Center for Policy Research
Land-based revenues as a fiscal instrument to finance infrastructure tie public investment to real estate markets, where demand fluctuations cause fiscal consequences. This paper takes policy reversals as structural breaks and examines their impacts on infrastructure investment. We dissect China’s 2016 policy reversal that disallowed developers to finance land purchase with debt, causing sharp declines in local government land revenues, slashing their fiscal base for infrastructure investment. Using prefecture-level panel data and continuous difference-in-differences identification, we estimate the reversal reduced land-lease revenues by 55%. Two-stage least squares estimates suggest a 10% land-revenue decline translates into 6.6% investment reduction. Decomposing the …
Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation Of Α-Synuclein Fibrils, Celia Fricke, Antonin Kunka, Rasmus K Norrild, Shuangyan Wang, Thi Lieu Dang, Jonas Folke, Mohammad Shahnawaz, Claudio Soto, Susana Aznar, Anne S Wentink, Bernd Bukau, Alexander K Buell
Thermodynamic Stability Modulates Chaperone-Mediated Disaggregation Of Α-Synuclein Fibrils, Celia Fricke, Antonin Kunka, Rasmus K Norrild, Shuangyan Wang, Thi Lieu Dang, Jonas Folke, Mohammad Shahnawaz, Claudio Soto, Susana Aznar, Anne S Wentink, Bernd Bukau, Alexander K Buell
Faculty, Staff and Student Publications
Aggregation of the intrinsically disordered protein alpha-synuclein into amyloid fibrils and their subsequent intracellular accumulation are hallmark features of several neurodegenerative disorders, including Parkinson's disease, for which no curative treatments currently exist. In this study, we investigate the relationship between fibril morphology, thermodynamic stability, and susceptibility to disaggregation by the human chaperone system comprising HSP70, DNAJB1, and Apg2. By varying assembly conditions and incubation times, we generated alpha-synuclein fibrils with diverse morphological and biochemical properties, including a broad range of thermodynamic stabilities, which we quantified using a chemical depolymerization assay. The chaperone system effectively disaggregated three of the four fibril …
Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp
Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp
Faculty, Staff and Student Publications
Background: The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been reported to develop tumors of up to 4 cm in diameter within 7-14 days at sites of in situ vector inoculation. However, the resulting lesions reportedly contained an extensive inflammatory component that has not been evaluated in detail.
Methods: Herein, we describe our results from multiparametric characterization of the lesions generated using liver biopsy cores incubated in vector solution and replaced …
Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami
Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami
Faculty, Staff and Student Publications
Mutations in epigenetic regulators are common in bladder cancer, yet their impact on therapeutic responses remains unclear. Here, we identify that loss-of-function mutations in KDM6A, a histone demethylase altered in about 26% of advanced bladder cancers, are associated with poor survival after cisplatin chemotherapy, whereas they correlate with improved outcomes with anti-PD-1 therapy. Using CRISPR-Cas9-engineered murine and human bladder cancer models, we show that KDM6A deficiency increases formation of extrachromosomal circular DNA carrying chemoresistance loci, promoting cisplatin resistance. In parallel, KDM6A loss impairs DNA repair and rewires tumor metabolism, reducing glycolysis and lactate output. This metabolic shift diminishes histone lactylation …
3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu
3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu
Faculty, Staff and Student Publications
Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …
Evaluating Impact Of Occupational Exoskeletons On Physical Fatigue Using Wearable Sensors And Deep Learning, Hardik Vora, Fatemeh Davoudi Kakhki, Armin Moghadam
Evaluating Impact Of Occupational Exoskeletons On Physical Fatigue Using Wearable Sensors And Deep Learning, Hardik Vora, Fatemeh Davoudi Kakhki, Armin Moghadam
Faculty Research, Scholarly, and Creative Activity
Musculoskeletal disorders remain a leading source of occupational injury in manufacturing and logistics industries, often resulting from repetitive lifting and load transfer tasks. While back-support exoskeletons have shown promise in alleviating physical strain, their biomechanical impact under realistic task conditions and their integration with intelligent monitoring systems require further exploration. This study investigates the efficacy of a passive lumbar-support exoskeleton in reducing muscle fatigue during manual material handling tasks by combining high-resolution surface electromyography (sEMG) data with a deep learning-based classification framework. Ten participants performed lifting and rotational (twisting) tasks with and without exoskeleton assistance, while EMG signals were collected …
Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua
Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua
Faculty, Staff and Student Publications
ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …
Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu
Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu
Faculty, Staff and Students Publications
While there has been some progress on discovering clinically validated biomarkers for early detection in pancreatic ductal adenocarcinoma (PDAC), several challenges remain. Most approaches rely on single-modality biomarkers with limited sensitivity and/or specificity. Using data from a multicenter study with an age-matched cohort (n = 203 with healthy controls n = 46, pancreatitis controls n = 36, and diagnosed cases n = 121), we developed a machine learning approach integrating 2,096 microRNAs, 125 metabolites, and CA19-9. Our method performs unsupervised selection of an optimal subset of biomarkers with maximal discriminatory power for diagnosis and early detection. In training data, the …
Spatially Resolved Integrative Analysis Of Transcriptomic And Metabolomic Changes In Tissue Injury Studies, Eleanor C Williams, Lovisa Franzén, Martina Olsson Lindvall, Gregory Hamm, Steven Oag, Muntasir Mamun Majumder, James Denholm, Azam Hamidinekoo, Javier Escudero Morlanes, Marco Vicari, Joakim Lundeberg, Laura Setyo, Trevor M Godfrey, Livia S Eberlin, Aleksandr Zakirov, Jorrit J Hornberg, Marianna Stamou, Patrik L Ståhl, Anna Ollerstam, Jennifer Y Tan, Irina Mohorianu
Spatially Resolved Integrative Analysis Of Transcriptomic And Metabolomic Changes In Tissue Injury Studies, Eleanor C Williams, Lovisa Franzén, Martina Olsson Lindvall, Gregory Hamm, Steven Oag, Muntasir Mamun Majumder, James Denholm, Azam Hamidinekoo, Javier Escudero Morlanes, Marco Vicari, Joakim Lundeberg, Laura Setyo, Trevor M Godfrey, Livia S Eberlin, Aleksandr Zakirov, Jorrit J Hornberg, Marianna Stamou, Patrik L Ståhl, Anna Ollerstam, Jennifer Y Tan, Irina Mohorianu
Faculty, Staff and Students Publications
Recent developments in spatially resolved -omics have enabled the joint study of gene expression, metabolite levels and tissue morphology, offering greater insights into biological pathways. Integrating these modalities from matched tissue sections to probe spatially-coordinated processes, however, remains challenging. Here we introduce MAGPIE, a framework for co-registering spatially resolved transcriptomics, metabolomics, and tissue morphology from the same or consecutive sections. We show MAGPIE's generalisability and scalability on spatial multi-omics data from multiple tissues, combining Visium with MALDI and DESI mass spectrometry imaging. MAGPIE was also applied to new multi-modal datasets generated with a specialised sampling strategy to characterise the metabolic …
Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium
Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium
Faculty, Staff and Students Publications
Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …
Re: Conditional Approval Letter For The Draft Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Pre-Design Investigation (Pdi) Evaluation Report (Dated September 12, 2025), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Comment Letter For Draft Clark Tailings Consolidated Waste Management Area (Ctcwma) 2024 Data Summary Report (Dated October 15, 2025), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Bayesian Multi-Cell Type Models For The Analysis Of Complex Immune Cell Populations With Application To Ovarian Cancer., Chase J. Sakitis, Jose Laborde, Julia Wrobel, Alex C. Soupir, Christelle M. Colin-Leitzinger, Benjamin G. Bitler, Mary K. Townsend, Andrew B. Lawson, Joellen M. Schildkraut, Shelley S. Tworoger, Kathryn L. Terry, Lauren C. Peres, Brooke L. Fridley
Bayesian Multi-Cell Type Models For The Analysis Of Complex Immune Cell Populations With Application To Ovarian Cancer., Chase J. Sakitis, Jose Laborde, Julia Wrobel, Alex C. Soupir, Christelle M. Colin-Leitzinger, Benjamin G. Bitler, Mary K. Townsend, Andrew B. Lawson, Joellen M. Schildkraut, Shelley S. Tworoger, Kathryn L. Terry, Lauren C. Peres, Brooke L. Fridley
Manuscripts, Articles, Book Chapters and Other Papers
To understand how the tumor immune microenvironment (TIME) impacts clinical outcomes and treatment response, researchers have been leveraging single-cell protein multiplex imaging techniques. These technologies measure multiple protein markers simultaneously within a tissue sample, providing a more complete assessment of the TIME. However, statistical challenges arise from the over-dispersed and zero-inflated nature of the data and from relationships among different immune cell populations. To address these challenges, we developed a Bayesian hierarchical method using a beta-binomial (BB) distribution to model the abundance of multiple immune cell types simultaneously while incorporating relationships and immune cell differentiation paths. We applied the model …
The Vascular Density/Angiogenesis Marker Cd31/Pecam1 Does Not Correlate With Overall Survival In Neuroendocrine Tumors, Nicholas J. Skill, Kenneth Avanzino, Yvette Bren-Mattison, J. Philip Boudreaux, Ramcharan Thiagarajan, Mary Maluccio
The Vascular Density/Angiogenesis Marker Cd31/Pecam1 Does Not Correlate With Overall Survival In Neuroendocrine Tumors, Nicholas J. Skill, Kenneth Avanzino, Yvette Bren-Mattison, J. Philip Boudreaux, Ramcharan Thiagarajan, Mary Maluccio
School of Medicine Faculty Publications
Abstract: Neuroendocrine neoplasms (NENs) are rare cancers. CD31/PECAM1 is an adhesion molecule that modulates endothelial cell-to-cell contact. Increased CD31 expression is a marker for tumor growth, and cancer aggressiveness. The purpose of this study was to better understand the prognostic value of CD31 expression in primary and metastatic NEN tumors in terms of correlations with overall survival and pathological metrics, tumor grade, and tumor primary/metastatic location. As NENs are highly vascular tumors, the hypothesis is that CD31 staining is an important prognostic biomarker and target. This is based on prior correlations between CD31 staining and 3-year recurrence-free survival in pancreas …
The Virtual Kitchen Challenge-Version 2: Validation Of A Digital Assessment Of Everyday Function In Older Adults, Marina Kaplan, Moira Mckniff, Stephanie M. Simone, Molly B. Tassoni, Katherine Hackett, Sophia Holmqvist, Rachel E. Mis, Kimberly Halberstadter, Riya Chaturvedi, Melissa Rosahl, Giuliana Vallecorsa, Mijail Serruya, Deborah A. G. Drabick, Takehiko Yamaguchi, Tania Giovannetti
The Virtual Kitchen Challenge-Version 2: Validation Of A Digital Assessment Of Everyday Function In Older Adults, Marina Kaplan, Moira Mckniff, Stephanie M. Simone, Molly B. Tassoni, Katherine Hackett, Sophia Holmqvist, Rachel E. Mis, Kimberly Halberstadter, Riya Chaturvedi, Melissa Rosahl, Giuliana Vallecorsa, Mijail Serruya, Deborah A. G. Drabick, Takehiko Yamaguchi, Tania Giovannetti
Department of Medicine Faculty Papers
BACKGROUND: Conventional methods of functional assessment include subjective self- or informant report, which may be biased by personal characteristics, cognitive abilities, and lack of standardization (eg, influence of idiosyncratic task demands). Traditional performance-based assessments offer some advantages over self- or informant reports but are time-consuming to administer and score.
OBJECTIVE: This study aims to evaluate the validity and reliability of the Virtual Kitchen Challenge-Version 2 (VKC-2), an objective, standardized, and highly efficient alternative to current functional assessments for older adults across the spectrum of cognitive aging, from preclinical to mild dementia.
METHODS: A total of 236 community-dwelling, diverse older adults …
Single‐Use Versus Multiple‐Use Endotracheal Suction Catheters In Mechanically Ventilated Patients: A Feasibility Randomised Controlled Trial, Mohamed H. Eid, Kevin Hambridge, Patricia Schofield, Jos M. Latour
Single‐Use Versus Multiple‐Use Endotracheal Suction Catheters In Mechanically Ventilated Patients: A Feasibility Randomised Controlled Trial, Mohamed H. Eid, Kevin Hambridge, Patricia Schofield, Jos M. Latour
School of Nursing and Midwifery
BackgroundIn resource-limited settings, single-use open endotracheal suction catheters are commonly used multiple times. The current evidence of this practice on ventilator-associated pneumonia (VAP) among mechanically ventilated patients remains unclear.AimThe aim of this study was to test the feasibility of single-use and multiple-use endotracheal suction catheters flushed with chlorhexidine versus standard care (multiple-use endotracheal suction catheters flushed with normal saline) to reduce VAP in resource-limited intensive care units (ICUs) and evaluate study methods for designing a future definitive randomised controlled trial (RCT).Study DesignA three-armed feasibility RCT was conducted in three ICUs at a university hospital in Egypt.ResultsSixty mechanically ventilated patients were …
Perceived Academic Workload And Well-Being Among Radiologic Technology Students During Home-Based Learning, Alvin Diaz Crudo
Perceived Academic Workload And Well-Being Among Radiologic Technology Students During Home-Based Learning, Alvin Diaz Crudo
The Lasallian Journal of Health
Introduction: COVID-19 disrupted educational delivery worldwide, forcing Higher Education Institutions (HEIs) to shift to home-based learning modalities combining synchronous and asynchronous modes. Radiologic technology students' academic workload intensified with digital and non-digital activities, requiring stronger internet connectivity amid barriers like stress and burnout. This study determined the correlation between perceived academic workload and well-being among third-year radiologic technology students at De La Salle Medical and Health Sciences Institute during home-based learning. Methods: A correlational research design was employed with 124 of 136 students (91.18%) participating during A.Y. 2021-2022. Researchers used self-made questionnaires based on Bowyer's (2012) "Student Workload Model" and …
Association Of Short Interpregnancy Interval Among Multigravid “Pregnant Youth” In A Tertiary Hospital, Eileen Feliz Cortes-Garcia
Association Of Short Interpregnancy Interval Among Multigravid “Pregnant Youth” In A Tertiary Hospital, Eileen Feliz Cortes-Garcia
The Lasallian Journal of Health
Introduction: Pregnancy among the youth is in creasing not only in the Philippines but worldwide. Studies have shown that a short interpregnancy inter val of 18 months or less is associated with an in creased risk of fetal and maternal complications. However, limited data are available regarding fetal and maternal outcomes among pregnant youth with short interpregnancy intervals, particularly in the Philippines. Objectives: The objective of the study was to deter mine the association between a short interpregnancy interval of <18 months and adverse fetomaternal out comes among pregnant youth aged 15 to 24 years who had their first pregnancy at De La Salle Univer sity Medical Center (DLSUMC) from 2017 to 2019. Methods: This was a retrospective cohort study in volving 130 participants who delivered at DLSUMC from 2017 to 2019 either by vaginal spontaneous delivery, assisted vaginal delivery, or cesarean sec tion. Results: Of these, 84 (66.15%) were 22 to 24 years old and the majority had their first pregnancy at the age of 18 to 21 years (59 [45.38%]). This study demonstrated that preterm delivery, postpartum hem orrhage, and hypertension were significantly associ ated with a short interpregnancy interval. Conclusions: Short interpregnancy interval is associ ated with an increased risk of preterm delivery, hy pertension, and postpartum hemorrhage among mul tiparous pregnant youth. Counseling and proper edu cation, including family planning, are important for both maternal and fetal health. The use of different family planning methods should be discussed and made accessible to young women.
The Efficacy And Safety Of Laparoscopic Cholecystectomy For Acute Cholecystitis: A Descriptive Study, Michael Lawenko, Marie Abigail Dumlao
The Efficacy And Safety Of Laparoscopic Cholecystectomy For Acute Cholecystitis: A Descriptive Study, Michael Lawenko, Marie Abigail Dumlao
The Lasallian Journal of Health
Objectives: Laparoscopic Cholecystectomy (LC) is gaining traction to become a safe and effective surgical option for Acute Cholecystitis (AC). In our institution, the trend toward laparoscopic management of AC has only recently gained traction. The objective of this study is to describe the early experience of our institu tion utilizing LC. Methods: This descriptive study involved a retrospec tive analysis of early institutional cases of LC. Included were cases with both pre- and post-operative diagnoses of AC, as well as cases admitted for non-AC conditions but found to have incidental AC postoperatively. Cases were further categorized into severe (SAC) and …
Computational Comparative Genome Analysis Reveals The Characteristics Of Acinetobacter Baumannii C123 Strains, Jennilyn Nicole G. Mendoza
Computational Comparative Genome Analysis Reveals The Characteristics Of Acinetobacter Baumannii C123 Strains, Jennilyn Nicole G. Mendoza
The Lasallian Journal of Health
Acinetobacter baumannii is a Gram-negative, aerobic and multi-drug resistant bacterial pathogen commonly associated with nosocomial infections. This species has several strains and is known to cause pneumonia, septi cemia, meningitis, urinary tract infection and wound infection which are associated with high mortality rates. This study focused on a genome-wide compari son among target C123 strain and 15 other reference strains to predict the overall properties, and resistance mechanisms of the C123 strain. A total of 16 whole genome sequence strains were retrieved from NCBI database for analysis. The selected strains were assem bled and annotated using computational tools. Further more, …
Factors Affecting The Colony Count Of Oral Candida Albicans Of Electronic Cigarette Users Among Young Adults In Dasmariñas, Cavite, Kyla Marie C. Resuma, Rendell B. Rovelo, Martella Ingrid A. Sanchez, Christine Joy R. Sobiono, Michaela Marie N. Tena, Gabriel C. Villota
Factors Affecting The Colony Count Of Oral Candida Albicans Of Electronic Cigarette Users Among Young Adults In Dasmariñas, Cavite, Kyla Marie C. Resuma, Rendell B. Rovelo, Martella Ingrid A. Sanchez, Christine Joy R. Sobiono, Michaela Marie N. Tena, Gabriel C. Villota
The Lasallian Journal of Health
Electronic cigarettes (e-cigarettes) emerged and were marketed as a more viable alternative to traditional tobacco smoking, especially among the youth. While there is insufficient evidence clearly explaining the effects of e-cigarette use on human health, recent literature has shone light on its various adverse effects on the body, particularly on oral health and its possible contribution to oral microbial dysbiosis. This study explored the potential factors that may have affected the colony counts of oral Candida albicans—the causative agent of thrush. The study participants (N = 40) comprised 22 male and 18 female e-cigarette users aged 18 to 22 …
Environmental Detection And Genetic Profiling Of Staphylococcus Sp. At Taal Volcano Island, Ray Albert E. La Rosa, Shaun Michael C. Basco, Martin Gabriel Z. Dela Cruz, Iluminada A. Ronio
Environmental Detection And Genetic Profiling Of Staphylococcus Sp. At Taal Volcano Island, Ray Albert E. La Rosa, Shaun Michael C. Basco, Martin Gabriel Z. Dela Cruz, Iluminada A. Ronio
The Lasallian Journal of Health
Taal Volcano Island’s hydrothermal environment supports extremophilic microbial communities. This study isolated, biochemically characterized, and genetically profiled Staphylococcus sp. from shoreline soils. Soil samples were collected near active vents and cultured on acidified gelatin agar (pH 5.0). Biochemical tests—Methyl Red, Spirit Blue Agar, Motility, and Acrolein—were performed. DNA extraction and 16S rRNA sequencing identified Staphylococcus candidatus, with 99 % sequence similarity to GenBank entries JN794602.1 and KX250303.1. Phylogenetic analysis clustered the isolate with S. ureilyticus, S. cohnii, and S. equorum. The organism’s presence in volcanic soils demonstrates adaptation to acidic, thermophilic conditions and suggests potential applications in bioremediation and enzyme …
Geophysical Analysis Of Volcanic Soils Influencing Microbial Habitat Dynamics On Taal Volcano Island, Ray Albert E. La Rosa, Iluminada A. Ronio, Shaun Michael C. Basco, Martin Gabriel Z. Dela Cruz
Geophysical Analysis Of Volcanic Soils Influencing Microbial Habitat Dynamics On Taal Volcano Island, Ray Albert E. La Rosa, Iluminada A. Ronio, Shaun Michael C. Basco, Martin Gabriel Z. Dela Cruz
The Lasallian Journal of Health
Taal Volcano Island in Batangas, Philippines, hosts an active post-caldera complex with a large hydrothermal system producing extreme soil environments. This study analyzed the geophysical and geochemical characteristics of shoreline soils to determine their potential as microbial habitats. Soil samples were collected at 14°02′04″N, 121°00′09″E, one meter below the surface of near newly formed vents. Physical parameters, including water content, bulk density, sedimentation, texture, and porosity, were measured alongside pH and temperature data. Results revealed sandy soil texture with 25% moisture, moderate compaction (1.66 g cm⁻³), high surface temperature (50 °C on-site; 72.7 °C PHIVOLCS data), and extreme acidity (pH …