Digital Commons Network^™

How Policing Data Visualizations Affect Comprehension, Decision Confidence, And Perceptions Of Racial Disparities, Abeer Mustafa

Theses

Police departments use public dashboards to share use-of-force data for policymaking and public awareness, but it remains unclear how visualization formats affect how people interpret this information. This between-subjects study with 64 participants compares absolute use-of-force incident counts (Totals) and population-adjusted rates (Rates) across four United States cities. The research included a quantitative analysis of graph comprehension, policy prioritization, confidence ratings, and attitude change, as well as a qualitative examination of open-ended responses. Results showed a strong framing effect: those who viewed absolute numbers prioritized Aurora, Colorado (highest incidents) for policy intervention, often disregarding population baselines, while those viewing per-capita …

A Comparative Study Of Inference-Time Scaling Strategies For Large Language Models, Oluwamayowa Owolabi

Theses

Large language models (LLMs) have demonstrated strong performance on a range of reasoning tasks, however, their reliability often depends not only on model size or training data, but also on inference-time strategies. However, existing inference-time methods are typically evaluated in isolation and under differing experimental assumptions, making it difficult to draw systematic conclusions about their relative effectiveness. This thesis proposes a controlled empirical study of inference-time scaling strategies for large language models under fixed inference-time compute budgets. The findings reveal that no single strategy dominates uniformly. PRM guided selection with the IBM Granite verifier achieves the highest absolute accuracy across …

Software Vulnerability Recidivism In Open-Source Projects, Brandon Keller

Theses

Software vulnerabilities present a major threat to businesses and individuals alike and it is therefore critical that a culture exists among software engineers to encourage the discovery and patching of security flaws. Vulnerability counts are a common way of evaluating a project’s security. However, this metric can run counter to building a developer culture of fault recognition if more vulnerabilities is always seen as a bad thing. While these counts can present a rough idea of a project’s history with security, they provide no insight into how the development team improves and learns as a result of a vulnerability. A …

Evaluating Expected Real-World Tactile Experience From Virtual Fabric Perception, Julianna Gross

Theses

Most people have experienced the disappointment of ordering products online and receiving a product completely different to what was expected. For example, a sweater may appear that it is made out of extremely soft blue cotton, yet when seen in person is an itchy purple polyester blend. The current research seeks to ameliorate this confusion by evaluating various visual conditions that have the potential to lead to disparities between real-world feel and online images. Lighting and material characteristics are two major indicators of fabric, specifically real life look and feel. The angle of lighting and which light source is chosen …

Optimizing Urban Commute Quality Through Traffic Congestion Analysis And Predictive Modeling, Obaid Almansoori

Theses

Urban traffic congestion imposes significant economic, environmental, and social costs on rapidly growing cities worldwide. This research investigates how predictive analytics and machine  learning can be leveraged to classify and forecast traffic congestion severity in real time,  enabling data-driven decision-making for transportation planning, signal optimization, and  congestion management. A real-world traffic monitoring dataset comprising 5,952 observations collected over two months via  computer vision sensors at an urban intersection was analysed under the CRISP-DM frame- work. The  dataset records counts of four vehicle classes including cars, bikes, buses, and trucks at  15-minute intervals, alongside temporal variables such as time of day, …

Phrases, Crystal Ching-Lam Tam

Theses

Motivational posters are widely used in educational environments to encourage perseverance, build confidence, and promote positive thinking. However, many of these visuals rely on cliché imagery, generic language, and overly decorative styles, making them feel inauthentic and easy to ignore. In visually saturated campus environments, they often fade into the background, acting as noise rather than as meaningful communication. How can motivation be communicated in a more engaging, intentional, and relevant way for college students? This thesis introduces Phrases, a visual communication system that reimagines motivational design through abstraction, clarity, and restraint. Rooted in Swiss design principles and Gestalt theory, …

Imaging Performance Analysis Of Euv Mask Stacks For Sub-24 Nm Features At High And Hyper Numerical Aperture, Abdusame Omran N. Berish

Theses

As extreme ultraviolet (EUV) lithography advances toward high numerical apertures (NAs) of 0.55 and 0.75, mask-3D effects degrade image fidelity, limiting resolution and the process window. This work investigates the performance of alternative EUV absorber materials for sub-12 nm half-pitch patterning under high-NA and hyper-NA conditions. The lithographic simulations were conducted using the PROLITH Maxwell rigorous model under dipole illumination optimized for sub-24 nm resolution dense line/space features. The EUV mask stacks were derived from five fabricated and tested absorbers: TaBN, Ru/Ta, Pt2W, Ni/CrN, and TaSi2.  The absorber thickness was recalibrated to an optimal value, ensuring a maximum normalized image …

In-Context Retrieval For Molecules And Chemical Synthesis Pathways, Abhisek Dey

Theses

Contrastive learning methods require well-defined positive pairs, limiting their applicability to domains where complete, high-fidelity pairings are available. In practice, large-scale scientific corpora --including patents, publications, and web-scale data -- contain vast quantities of contextually relevant but incompletely paired samples that are discarded under standard training paradigms. In this work, we demonstrate that hard negative mining can be leveraged to construct pseudo-positive supervision signals from unpaired or partially paired data, enabling contrastive learning to exploit the full breadth of available corpora without sacrificing representational quality. Using a large-scale chemical drug patent corpus as a testbed, we train a cross-modal contrastive …

The Best Practices For Prefabrication Of Industrial Buildings, Derek Gines

Theses

Prefabrication has demonstrated measurable and repeatable advantages in productivity, cost certainty, and environmental performance, yet its adoption within industrial building typologies remains largely inconsistent. Existing research largely evaluates prefabrication through downstream performance outcomes, while offering limited insight into the upstream design and organizational decisions that enable or undermine its reliability. This thesis reframes prefabrication as a design‑led methodology rather than a construction optimization, arguing that successful hybrid prefabrication is determined primarily by early decision timing, governance structures, and the control of spatial and logistical interfaces. This study adopts a qualitative design‑research approach that combines comparative case study analysis with expert …

Beyond The Launch: Designing Integrated Marketing Communications Across The Publishing Lifecycle, Philip J. Boutin Jr.

AMTP Proceedings 2026

This paper advances a lifecycle view of integrated marketing communications for book publishing and specifies a practical model beyond launch. We present the Lifecycle IMC in Publishing (L-IMC) framework with four layers—strategic capability, orchestration, phased execution (pre-launch, launch, post-publication), and measurement/learning—grounded in evidence on carryover, cross-media complementarity, discoverability, and the creator economy. Seven propositions predict that lifecycle consistency, coordinated post-publication activity, metadata priming, creator–title fit with clear disclosures, network-aware seeding, continuous testing, and reserved reinforcement budgets improve visibility, conversion, and returns. Design principles include codified message architecture and governance, a vetted creator bench, managed discoverability, sequencing high-trust signals before conversion …

Pivot: Plan For Institutional Vitality And Organizational Transformation, 2025-2026 Report, Office Of Academic Affairs, Research And Graduate Studies, Richard Tankersley, Shelly Chabon

Office of Academic Affairs Publications

This report documents the conduct and results of PIVOT's first review cycle, from its September 2025 launch through the submission of recommendations to President Ann Cudd on February 23, 2026. Track 1 reviewed 293 academic programs, each by three to five academic leaders, with calibration by the Deans' Council and feedback from units before classifications were finalized. Resulting classifications were 25 Grow, 85 Sustain, 112 Revitalize, and 71 Sunset. Track 2 reviewed 163 units through a Core Review Team, producing 7 Invest, 61 Sustain, 54 Reassess, 28 Restructure/Consolidate, and 13 Phase Out classifications. The report presents financial modeling projecting approximately …

Use Of Inverse Probability Weighting In Cardiovascular Surgical Outcomes Research: Principles, Limitations, And Recommendations, Zhongjian Liu, Wei-Guo Ma, Lei Liu, Prashanth Vallabhajosyula, Haibo Wang

2020-Current year OA Pubs

This statistical primer presents a comprehensive introduction to the use of inverse probability of treatment weighting (IPTW), a method for rebalancing group confounders at baseline in cardiovascular surgical outcomes research. We leveraged a retrospective study comparing the outcomes of 2 different surgical approaches to aortic arch pathology to illustrate the essential aspects of performing IPTW, including basic theories, application, extreme weights, underestimated variance, heterogeneity of treatment effect, and multicollinearity. The limitations of IPTW were discussed with examples of solutions. Ten practical recommendations are made on avoiding the pitfalls in the use of IPTW. Proper use of IPTW may effectively reduce …

Diagnostic Criteria And Management Of Melas And Stroke-Like Episodes: Consensus-Based Statements, Michelangelo Mancuso, Marcello Bellusci, Valerio Carelli, Irenaeus De Coo, Daria Diodato, Felix Distelmaier, Omar Hikmat, Michio Hirano, Rita Horvath, Amel Karaa, Thomas Klopstock, Mary Kay Koenig, Cornelia Kornblum, Chiara La Morgia, Piervito Lopriore, Mika Henrik Martikainen, Robert Mcfarland, Olimpia Musumeci, Robert D S Pitceathly, Guido Primiano, Shamima Rahman, Fernando Scaglia, Andrew Schaefer, Manuel Schiff, Luisa Semmler, Costanza Lamperti, Serenella Servidei

Faculty, Staff and Student Publications

Background and purpose: Mitochondrial Encephalomyopathy, Lactic acidosis and Stroke-like episodes (MELAS) is a rare multisystem mitochondrial disorder with clinical heterogeneity. Diagnostic criteria and management strategies for MELAS and mitochondrial stroke-like episodes (SLE) remain inconsistent. This work provides international consensus recommendations on the definition, diagnosis, and management of MELAS and SLE in pediatric and adult populations.

Methods: An international Delphi consensus process was conducted within the European Reference Network for Neuromuscular Diseases (ERN EURO-NMD), in collaboration with the US Mitochondrial Medicine Society, the ERN for Hereditary Metabolic Disorders (MetabERN), and patient representatives. Following a systematic literature review, 54 statements addressing diagnostic …

Author Correction: Phenome-Wide Analysis Of Copy Number Variants In 470,727 Uk Biobank Genomes, Xueqing Zoe Zou, Fengyuan Hu, Haiyi Lou, Oliver S Burren, Xiaoyin Li, Karyn Megy, Eleanor Wheeler, Qiang Wu, Santosh S Atanur, Marcin Karpinski, Douglas Loesch, Zammy Fairhurst-Hunter, Sri V V Deevi, Erin Oerton, Sean Wen, Xiao Jiang, Cecilia Salvoro, Jonathan Mitchell, Abhishek Nag, Ben Hollis, Amanda O'Neill, Astrazeneca Genomics Initiative, Jen Harrow, Stewart Macarthur, Sebastian Wasilewski, Sean O'Dell, Lifeng Tian, Katherine R Smith, Guillermo Del Angel, Margarete Fabre, Ryan S Dhindsa, Quanli Wang, Slavé Petrovski, Keren Carss

Duncan NRI Faculty and Staff Publications

No abstract provided.

Sustainability In Concrete: Decision-Makers, Dismissal Points, And A Framework For Implementation, Max Dennison

Construction Management

Concrete is essential to modern infrastructure, but is also one of the largest sources of embodied carbon, with cement production alone responsible for a significant share of global CO₂ emissions. Although low-carbon and otherwise “sustainable” concrete technologies are growing, their use in everyday projects remains limited. This research investigates why sustainable concrete options are most often dismissed during the project lifecycle, who drives these decisions, and what conditions are needed to enable broader adoption. Using a combination of literature review and semi-structured interviews with professionals in contracting, life-cycle assessment, sustainability consulting, and materials production, the study maps decision points from …

Feasibility Of A Large Language Model Chatbot To Support Parental Understanding In The Picu, R Brandon Hunter, Satid Thammasitboon, Sreya Rahman, Sriya Kakarla, Pamela Petersen, Shelley Kumar, Thomas Rappold, Sanjiv Mehta

Faculty, Staff and Students Publications

Objectives: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design of a randomized controlled trial (RCT).

Design: Prospective single-arm feasibility study conducted from August 2024 to December 2024.

Setting: Quaternary PICU.

Subjects: Fourteen parents of children admitted to the PICU.

Interventions: Parents engaged in 10-minute sessions with a HIPAA-compliant GPT-4o- (Generative Pretrained Transformer 4o, OpenAI, San Francisco, CA) based chatbot prompted with patient-specific electronic health record (EHR) data.

Measurements and main results: Feasibility was assessed through four criteria: parental engagement and satisfaction, provider perceptions, accuracy and safety, and …

Development And Internal Validation Of A Pretransplant Biomarker Panel For Mortality Prediction Following Liver Transplant, Guergana G Panayotova, Sopio Simonishvili, Lianhua Jin, Duc T Nguyen, Edward A Graviss, Yong Qin, Anastasia Xynogala, Tumininu Ayorinde, Laurie J Minze, Alexander Lemenze, Krupa R Mysore, Julie M Corkrean, Linda W Moore, Flavio Paterno, Ashish Saharia, Constance M Mobley, Arpit Amin, Mark J Hobeika, Xian C Li, Paul J Gaglio, R Mark Ghobrial, James V Guarrera, Keri E Lunsford

Faculty, Staff and Students Publications

Importance: Current pretransplant clinical scoring systems fail to accurately estimate post-liver transplant (LT) survival, making recipient selection challenging. Persistent immune dysfunction contributes to early LT recipient mortality but is not captured by existing models.

Objective: To identify plasma biomarkers of pretransplant immune dysfunction and to develop a biomarker-based pre-LT risk stratification tool to predict post-LT mortality.

Design, setting, and participants: Prospective biomarker analysis of consecutively enrolled adult LT recipients was conducted. Healthy controls were included for baseline comparison. Patients undergoing LT at Houston Methodist Hospital (October 1, 2013, to December 31, 2017) and Rutgers/University Hospital (January 1, 2019, to March …

Fronto-Cerebellar Features Associate With Cognitive Dysfunction In Childhood-Onset Systemic Lupus Erythematosus, Hanne Van Der Heijden, Gabrielle Alonzi, Amanda Cao, Raquel Van Gool, Merve Koç Yekedüz, Lise Vrolix, Itamar Ronen, Vanessa Rameh, Kyle Mcbrearty, Aditi Deokar, Robert P Sundel, Eyal Muscal, Joseph Gonzalez-Heydrich, Andrea Knight, Joyce C Chang, Jaymin Upadhyay

Faculty, Staff and Students Publications

Objective: Cognitive dysfunction (CD) is a prevalent symptom in childhood-onset systemic lupus erythematosus (cSLE). This study aimed to investigate the neurobehavioral basis of CD in cSLE.

Methods: Patients with cSLE (N=20) and age- and sex-matched healthy controls (HCs, N=20) completed questionnaires and multiple neurocognitive tests. The Systemic Lupus Erythematosus Disease Activity Index 2000 and laboratory markers were used to monitor patients' clinical status. Neuroimaging assessments included functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), and structural MRI.

Results: cSLE patients demonstrated moderate disease activity with high inflammation and immune dysregulation, alongside low medication adherence. Relative to HCs, cSLE patients …

Trauma-Related Compulsions In Obsessive-Compulsive Disorder: Functional Insights From Factor Analysis, Caitlin M Pinciotti, Max Thorsson, Gregor Horvath, Matti Cervin

Faculty, Staff and Students Publications

Resisting obsessive-compulsive disorder (OCD) compulsions is a key predictor of exposure and response prevention (ERP) effectiveness, yet trauma-exposed individuals with OCD endorse more severe compulsions and are more likely to be labelled 'treatment resistant.' Among trauma-exposed individuals, compulsions are theorised to function to prevent future trauma and cope with trauma-related responses. Recent findings suggest that certain compulsions in the context of trauma exposure differentially impact treatment outcomes, yet missing from extant literature is a larger empirically derived conceptualisation for how trauma may impact the underlying function of compulsions. In a sample of 662 adult patients enroled in intensive OCD treatment …

Rexinoid Net-3ib Promotes Resident Macrophage Gene Expression And Mitigates Desiccation-Induced Ocular Surface Disease, Jehan Alam, Yangluowa Qu, Jianming Shao, Ebru Yaman, Karen Zheng, Hiroki Kakuta, Stephen C Pflugfelder

Faculty, Staff and Students Publications

Purpose: To evaluate the effects of rexinoid NEt-3IB on desiccating stress-induced dry eye, as well as monocyte/macrophage gene expression and cellular trajectory.

Methods: Eyes were topically treated with rexinoid NEt-3IB (5 µM) or vehicle three times a day for 5 days of desiccating stress-induced dry eye. Single-cell RNA sequencing (RNA-seq) profiled gene expression in conjunctival immune cells. RNA-seq was also used to evaluate gene expression in lipopolysaccharide (LPS)-stimulated, dexamethasone-treated (Dex, 1 µM), or NEt-3IB-treated (1-1000 nM) cultured monocytes. Cellular state trajectory and latent time were inferred with scVelo, and latent-time-associated genes were identified using Monocle 3. Permeability to Oregon Green-labeled …

Black Equality In Ocd Neurogenomics (Belong): Study Protocol, Iasha J Williams, Dalia Y Marquez, Kara E Lopez-Lengowski, Malini Bommiasamy, Ogechi Cynthia Onyeka, Slayton J Underwood, Juliana E Avery, Jacob Gluckman, Thariana Pichardo, Rhea Chandler, Yulu Brown, Katie Mangen, Emma Grace Choplin, Black Equality In Ocd Neurogenomics (Belong) Study Team, Sonyia C Richardson, Joseph D Buxbaum, Eric A Storch, James J Crowley, Sidney H Hankerson, Dorothy E Grice

Faculty, Staff and Students Publications

Obsessive-compulsive disorder (OCD) is a chronic, serious psychiatric disorder that affects 2%-3% of the population and is associated with high personal and societal costs. Genetic factors are estimated to explain roughly half the risk of developing OCD, and genomic studies are just beginning to identify common and rare genetic variants mediating this risk. A major goal of genomic studies is to yield insights into the etiology of OCD and identify molecular targets for the development of novel therapeutics. However, the overwhelming majority of subjects in existing genetic studies are of European ancestry, limiting the generalizability of these findings. To address …

Author Correction: Foundation Model Of Neural Activity Predicts Response To New Stimulus Types, Eric Y Wang, Paul G Fahey, Zhuokun Ding, Stelios Papadopoulos, Kayla Ponder, Marissa A Weis, Andersen Chang, Taliah Muhammad, Saumil Patel, Zhiwei Ding, Dat Tran, Jiakun Fu, Casey M Schneider-Mizell, R Clay Reid, Forrest Collman, Nuno Maçarico Da Costa, Katrin Franke, Alexander S Ecker, Jacob Reimer, Xaq Pitkow, Fabian H Sinz, Andreas S Tolias

Faculty, Staff and Students Publications

This corrects the article "Foundation model of neural activity predicts response to new stimulus types" in volume 640 on page 470.

Phenome-Wide Analysis Of Copy Number Variants In 470,727 Uk Biobank Genomes, Xueqing Zoe Zou, Fengyuan Hu, Haiyi Lou, Oliver S Burren, Xiaoyin Li, Karyn Megy, Eleanor Wheeler, Qiang Wu, Santosh S Atanur, Marcin Karpinski, Douglas Loesch, Zammy Fairhurst-Hunter, Sri V V Deevi, Erin Oerton, Sean Wen, Xiao Jiang, Cecilia Salvoro, Jonathan Mitchell, Abhishek Nag, Ben Hollis, Amanda O'Neill, Jen Harrow, Stewart Macarthur, Sebastian Wasilewski, Sean O'Dell, Lifeng Tian, Katherine R Smith, Guillermo Del Angel, Margarete Fabre, Ryan S Dhindsa, Quanli Wang, Slavé Petrovski, Keren Carss

Duncan NRI Faculty and Staff Publications

Copy number variants (CNVs) are key drivers of human diversity and disease risk1. Here we evaluate the role of CNVs across a broad range of human phenotypes and diseases by analysing CNVs from 470,727 UK Biobank whole-genome sequences and conducting a variant- and gene-level phenome-wide association study (PheWAS) with 2,941 plasma protein abundance measurements, 13,336 binary clinical phenotypes and 1,911 quantitative traits. Proteomic analyses validated functional associations of CNVs with nearby genes (cis-protein quantitative trait loci; cis-pQTLs)—with deletions and duplications typically associated with reduced and increased protein levels, respectively—and uncovered previously unknown protein–protein interactions …

Da Vinci Single-Port Transvaginal Natural Orifice Transluminal Endoscopic Surgery (Vnotes) Sacrocolpopexy: A Case Report And Literature Review, Xiaoming Guan, Chunhua Zhang, Qiannan Yang, Shunjia Hong, Wai Ieng Fong

Faculty, Staff and Students Publications

Pelvic organ prolapse remains a common condition requiring durable surgical correction, with sacrocolpopexy considered the gold standard. Transvaginal natural orifice transluminal endoscopic surgery (vNOTES) has emerged as a scarless minimally invasive approach, while the integration of robotic single-port technology may further enhance surgical precision and ergonomics. However, data on robotic-assisted single-port vNOTES (RSP-vNOTES) sacrocolpopexy remains limited. We report a case of a 58-year-old Asian woman with symptomatic apical pelvic organ prolapse. The pelvic organ prolapse quantification (POP-Q) assessment demonstrated stage II uterine prolapse. She underwent robotic-assisted single-port vNOTES (RSP-vNOTES) sacrocolpopexy using the da Vinci single-port (SP) platform. The procedure was …

Comprehensive Profiling Of The Human Tear Fluid Mirnome Using Small Rna Sequencing, Garrett Jones, Drew Mayernik, Saleh Ahmed, Eliza Williams, Jeremy Altman, Tae Jin Lee, Amy Estes, Cintia S De Paiva, Pamela Martin, Shruti Sharma, Ashok Sharma

Faculty, Staff and Students Publications

Purpose: To generate a comprehensive profile of microRNAs (miRNAs) present in human tear fluid using next-generation sequencing (NGS), establish a reference miRNome for healthy human tear fluid, and investigate whether miRNA expression varies by sex, race, or age.

Methods: Tear samples were collected from 32 adults using Schirmer strips. RNA was isolated using the miRNeasy Serum/Plasma Kit, and cDNA libraries were prepared using the QIAseq miRNA Library Kit. Barcoded libraries were sequenced on the NovaSeq 6000 platform. Bioinformatic analyses included adapter trimming, alignment to miRBase, normalization with DESeq2, and functional annotation using multiMiR and clusterProfiler. Differential expression analysis was performed …

Toward A Unified Framework For Open World Visual Learning, Yuansheng Zhu

Theses

Artificial intelligence systems have achieved remarkable performance across a wide range of visual tasks. However, most existing models operate under the unrealistic closed-world assumption, where training and test data are drawn from the same distribution. In real-world applications such as anomaly detection, autonomous driving, and medical diagnosis, learning systems frequently encounter novel or out-of-distribution scenarios. These settings require models that can recognize unknown inputs, adapt to new information over time, and maintain reliable performance under evolving conditions. This dissertation studies the problem of Open World Visual Learning, a paradigm that enables visual learning systems to operate robustly in dynamic and …

Rosetta-Xai: An Automated Evaluation And Explainability Framework For Code Translation Models, Vishnu S. Pendyala, Neha Bais Thakur

Faculty Research, Scholarly, and Creative Activity

This paper presents Rosetta-XAI, a comprehensive software framework for evaluating and explaining Large Language Model (LLM) behavior in cross-language code conversion tasks. The system implements a four-stage automated pipeline: (1) code generation by LLMs accessed through the Ollama API inference service, (2) regex-based extraction of code blocks from markdown responses, (3) language-specific syntax and compilation validation with temporary artifact management, and (4) execution with timeout protections and CSV-based checkpoint recovery. The framework supports evaluation of 15 specialized code LLMs (1.3B–34B parameters), including DeepSeek Coder, Code Llama, CodeGemma, and Granite Code across 17 Rosetta Code programming tasks, generating 42 bidirectional conversion …

Long-Term Outcomes Of Left Bundle-Branch Pacing Vs Biventricular Pacing In Heart Failure: The Heartsync-Lbbp Randomized Clinical Trial, Xueying Chen, Xi Liu, Ruogu Li, Zhongkai Wang, Yixiu Liang, Lei Zhang, Wei Wang, Jin Bai, Jingfeng Wang, Shengmei Qin, Weiwei Zhang, Tianbao Yao, Dong Huang, Ting Chen, Xianxian Zhao, Dening Liao, Jingbo Li, Jialiang Mao, Mihail G Chelu, Yangang Su, Kenneth A Ellenbogen, Junbo Ge

Faculty, Staff and Students Publications

Importance: Left bundle-branch pacing (LBBP) has been proposed as an alternative to biventricular pacing (BiVP) for patients with heart failure with left bundle-branch block (LBBB). However, robust clinical evidence from randomized clinical trials is lacking.

Objective: To evaluate the long-term clinical outcomes of LBBP and BiVP.

Design, setting, and participants: This multicenter, prospective, randomized clinical trial enrolled 200 patients at 6 centers in China with a left ventricular ejection fraction (LVEF) of 35% or less and LBBB from October 2020 to March 2022. This study was took place from October 2020 to September 2024. These data were analyzed September 2024 …

The Ladies' Home Journal: Dormant Seeds Of The Feminine Mystique Pre-Wwii, Isis Santos Villaça

University Honors Theses

At the turn of the 20th century, magazines were becoming increasingly available to the middle class. Throughout the 1890–1930s, the industry put forth an entire new iteration of publications that came to be popular with female readers. One of the most successful publications from this period, The Ladies' Home Journal, distinguished itself through its strong editorial presence on the page. The editors of the Ladies' Home Journal intended to create a "traditional" female identity that reflected domesticity in the journal, which countered the rising notions of the New Woman. Simultaneously, the publication aimed to create an educational product with …

Influence Of Gut Microbiota On Response To Immune Check Point Inhibitors In Masld Patients With Hcc: Unraveling The Connection, Mazen Elsheikh, Mohamad Ali Ibrahim, Sherry Fares, Megha Bhongade, Karim Adhem, Ximena I Ramirez-Morales, Ahmed O Kaseb, Joseph Petrosino, Manal M Hassan, Prasun K Jalal

Faculty, Staff and Students Publications

Immune checkpoint inhibitors (ICIs) have emerged as a promising treatment for various cancers, including advanced hepatocellular carcinoma (HCC). However, a significant proportion of patients with HCC, particularly those with metabolic dysfunction-associated liver disease (MASLD), exhibit resistance to ICI therapy. Studies have revealed that the presence of specific gut bacteria, such as Akkermansia, Bifidobacterium, and Lachnoclostridium, is associated with improved outcomes with ICI-treated HCC patients. Conversely, the overgrowth of bacteria like Enterobacteriaceae is linked to resistance to therapy. This review investigates the role of gut microbiota in shaping immune checkpoint inhibitor responses in MASLD-related hepatocellular carcinoma, focusing on how dysbiosis may …