Digital Commons Network^™

Streamlining Pediatric Appendicitis Evaluation In The Emergency Department, Joan C. Bruce, Douglas J. Fox, Owen N. Ferriola, Allen J. Huang, Nicholas A. Long, Erin M. Morris, Krysta M. Sutyak, Jeannette M. Joly, Carleen V. Cuevas, Akemi L. Kawaguchi, Kuojen Tsao

Summer Research Program Abstracts

No abstract provided.

Effects Of Blood Brain Barrier Permeability Upon Exposure To Patient Plasma From Traumatic Injury, Mackenna S. Mcgraw

Summer Research Program Abstracts

No abstract provided.

Metabolic Correlates Of Suicidal Ideation In A Longitudinal Cohort Of Hospitalized Adults With Mood Disorders, Mihai Bendea, Nanako Matsuda, Ali Muhammad Lalani, Ana Cristina Ruiz, Sophia Mcinturff, Courtney Vecera, Jair C. Soares, Rodrigo Machado-Vieira, Gabriel R. Fries

Summer Research Program Abstracts

No abstract provided.

Comparative Evaluation Of Similarity Metrics For Multi-Vendor Origin–Destination Matrix Comparison: A Case Study Using Data From Three Probe Data Vendors In Arkansas, Sagar Silwal

Graduate Theses and Dissertations

The proliferation of commercial probe data vendors has posed both opportunities and challenges for transportation agencies regarding the choice of reliable vehicle probe data for decision making purposes. Probe data is a form of passive mobility data representing a small fraction of the traveling population. Vendors aggregate mobility data from different sources including GPS enabled smartphones, telematics systems, and connected vehicles. They possess unique data collection methodologies, sampling mechanisms, and expansion algorithms which introduce variability in derived traffic performance measures like speed and volume. The overall objective of this work is to assess similarities and differences among probe data vendors …

Jme 4110: E-Bike Power Take-Off Device, Masa Marmarchi, Anna Favaron, Alexis Brutcher, Julie Steiger, Ava Le

Washington University / UMSL Mechanical Engineering Design Project JME 4110

This project focuses on developing a portable power solution that allows an E-bike battery to be used to power small devices during emergency situations. The system is designed to provide a convenient alternative when traditional sources of electricity are unavailable, while remaining safe, practical, and easy to store and use with the E-bike. The final design combines the necessary electrical components with a compact storage solution, allowing the system to be carried with the bike and used when needed.

Jme 4110: Drill-Powered Beach Umbrella Anchor, Matthew Barton, Tanin Ramnath, Marquan Bailey, Zachary Van-Horn, Kaelin Mendoza

Washington University / UMSL Mechanical Engineering Design Project JME 4110

A common and potentially hazardous situation faced by beachgoers is when standard umbrella anchors fail to hold during wind gusts, causing the umbrella to potentially go airborne and injure nearby people. Existing anchors require manual operation, leading to inconsistent grip and no resistance to different wind directions. Our project is a motorized three anchor system that drives augers into the sand to ensure a consistent grip and security against the wind.

Jme 4110: Drill Powered Pressure Washer, Kathryn Keele, Ashley Givance, Reagan Grass, Andrew Ellis, Jacob Thebeau

Washington University / UMSL Mechanical Engineering Design Project JME 4110

This project focuses on developing a drill-powered pressure washer attachment that connects to a standard cordless drill and garden hose. The device uses the drill as its only power source to pressurize water for cleaning applications. This portable design provides a convenient, low-cost alternative to traditional electric or gas-powered pressure washers.

The Geologic History Of The Chehalis Forearc Basin, Washington State, Usa, R. L. Moe, J. Bershaw, L. M. Staisch, A. R. Streig

Geology Faculty Publications and Presentations

The Chehalis basin is located between the Cascade arc and the Coast Range in southwest Washington State. It consists of sedimentary and volcanic rocks deposited throughout the Cenozoic and is underlain by the Siletzia terrane, a thick, large igneous province accreted in the Eocene. Here, we constrain evolution of the Chehalis basin depocenter using isochore maps derived from isostatic gravity anomalies, borehole data, and stratigraphy for several time periods: the Eocene (47.6–36.8 Ma), the Oligocene (36.8–20 Ma), and the Neogene (20–0 Ma). Our results suggest that local subsidence is driven by deformation on faults that bound and intersect the basin. …

Hsv-1 Us3 Hijacks Conserved Actin Regulatory Complexes To Drive F-Actin Remodeling, Md Imran Hossain, Md Arifuzzaman, Md Mehedi Hasan, Seung Jong Park, Leila Rahimian, Ojasvi Dutta, Vladimir Chouljenko, Harikrishnan Mohan, Reza Ghavimi, Konstantin G. Kousoulas

Computer Science Faculty Research & Creative Works

The herpes simplex virus 1 (HSV-1) US3 is a multifunctional serine/threonine kinase that promotes HSV-1 replication and spread. But its role and the mechanisms by which US3 regulates actin cytoskeletal remodeling remain poorly defined. We combined flow cytometry, confocal microscopy, immunoprecipitation-mass spectrometry (IP-MS), protein complex mapping, and machine learning to characterize US3-mediated F-actin dynamics. Flow cytometry and confocal microscopy showed that wild-type HSV-1 induces significant F-actin remodeling, while the ΔUS3 mutant displays F-actin levels comparable to uninfected cells, identifying US3 as a key regulator. IP-MS identified 47 high-confidence US3 interactors enriched in conserved actin regulatory complexes, including Arp2/3 nucleation machinery, …

Purifai: Detecting And Fixing Search-Induced Distortions In Web-Augmented Llms, Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao

Research Collection School Of Computing and Information Systems

As Large Language Models (LLMs) increasingly serve as interfaces for proprietary data (e.g., enterprise knowledge bases, legal statutes), ensuring their fidelity to trusted internal information is paramount. While integrating real-time web search can enhance model utility, it introduces a critical vulnerability: the ingestion of conflicting, misleading, or hallucinated content from the open web can override the model's adherence to its verified internal knowledge. We define this failure mode as search-induced distortion, a significant risk in high-stakes domains where the internal knowledge base serves as the absolute ground truth.To address this challenge, we present PurifAI, a proactive, model-agnostic, cache-level purification system …

Generation-Augmented Video Corpus Moment Retrieval, Mingjin Kuai, Qianyin Xiao, Juncheng Li, Jin Peng, Lizi Liao, Wei Ji

Research Collection School Of Computing and Information Systems

Video Corpus Moment Retrieval (VCMR) requires models to efficiently retrieve and precisely locate specific moments relevant to natural language queries within a massive, untrimmed video corpus. However, existing discriminative approaches typically rely on shallow visual-textual feature matching mechanisms, which often struggle to capture fine-grained semantic differences. To address this limitation, we propose Video-GAR, a novel framework that reframes the conventional retrieval task from superficial matching to generative understanding, positing that the capability for query reconstruction evidences deep semantic comprehension. Specifically, Video-GAR orchestrates three synergistic components: To overcome the computational efficiency bottleneck, we construct a Bi-Mamba backbone that leverages the linear …

Bridging Llm Embeddings And Vae Parameters For Disentangled Recommendation, Nhu-Thuat Tran, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Disentangled recommendation within the Variational Autoencoder (VAE) framework aims to capture multiple user interests. While effective, these VAEs are fundamentally constrained by their reliance on interaction data alone, lacking the rich external semantic knowledge needed to properly structure and separate latent interests. Meanwhile, Large Language Models (LLMs) excel at deriving profound user preference signals from textual data. Prevailing methods for integrating LLMs into recommendation, however, either focus on single-interest modeling or perform a shallow fusion by aligning LLM and VAE representation spaces. Thus, they fail to fundamentally shape the VAE's latent space for multi-interest learning, hindering recommendation performance. To bridge …

A Refined Generalization Analysis For Extreme Multi-Class Supervised Contrastive Representation Learning, Minh Hieu Nong, Antoine Ledent

Research Collection School Of Computing and Information Systems

Contrastive Representation Learning (CRL) has achieved strong empirical success in multiple machine learning disciplines, yet its theoretical sample complexity remains poorly understood. Existing analyses usually assume that input tuples are identically and independently distributed, an assumption violated in most practical settings where contrastive tuples are constructed from a finite pool of labeled data, inducing dependencies among tuples. While one recent work analyzed this learning setting using U-Statistics to estimate the population risk, the techniques used therein require the risk of each class to concentrate uniformly, making excess risk bounds scale in the order of where denotes the probability of the …

Universal Rules Of The Russian Sound Verbs’ Synthesis: Representation In A Matrix Of Forms, Irina V. Ivliyeva

Arts, Languages and Philosophy Faculty Research & Creative Works

English Abstract:

The article is devoted to the construction of a system of universal rules for the synthesis of modified verbs of the Russian language and ways of presenting them in a matrix table of forms. The aim of the study is to identify parameters of the sound process relevant for predicting the composition of modified sound verbs’ nests, and in developing a system of rules of word-formation synthesis. The research material consisted of 152 base verbs of sound in the Russian language and their 880 modified derivatives.

Methods of lexical-semantic, word-formation (WF) and component analysis are used in the …

Multi-Scale Modeling Method For Intelligent Unmanned Aerial Vehicle Swarm Combat, Yelei Zhu, Shoulin Shen, Jiang Zhu, Chuanhua Wen

Journal of System Simulation

Abstract: Intelligent unmanned aerial vehicle swarm combat exhibits multi-scale characteristics of microlevel tactical autonomy, meso-level resource constraints, and macro-level network collaboration. In view of the problem that a single-scale modeling method is difficult to simultaneously characterize individual decision-making details, resource flow process, and system collaboration mechanism, a multi-scale modeling method integrating multi-agent modeling, system dynamics, and complex network theory was proposed. By designing six formal coupling operators to achieve cross-layer information mapping, a time progression mechanism based on a master-slave clock and hybrid synchronization was established, and a proof of error boundedness was provided. A prototype system was implemented on …

Research On Safety Monitoring System For Digital Twin Fully Mechanized Mining Face In Thin Coal Seams, Ya Liu, Zhaoyun Zhang, Cheng An, Canguang Zheng

Journal of System Simulation

Abstract: To solve the problems of opaque production processes, difficult expression of production information, and high difficulty in real-time model driving and safety monitoring in fully mechanized mining faces of thin coal seams, studying the use of digital twin technology and risk early warning models to solve beyond-visual-range visual production operations and safety monitoring control of the working face has important theoretical and practical value. This paper studied the construction methods of the digital twin system for fully mechanized mining faces in thin coal seams and discussed the construction of high-precision three-dimensional models, the real-time collection and processing conversion of …

Research On Multi-Objective Hybrid Flow-Shop Scheduling With Order Splitting, Junjie Yu, Weixi Ji, Chen Chen, Jingyu Lu, Chaoyang Zhang

Journal of System Simulation

Abstract: To address the order splitting multi-objective hybrid flow-shop scheduling problem (OSMOHFSP), a dual-objective optimization model was formulated with the objectives of minimizing makespan and total order tardiness. Fixed sub-batch specification constraints were incorporated to reflect common splitting limitations in actual production. A sub-batch generation strategy based on a candidate set of sub-batch specifications was designed to efficiently filter feasible splitting combinations, effectively reducing the search space dimensionality and computational complexity. A hybrid multi-objective metaheuristic algorithm integrating NSGA-II and SA was proposed. The global search capability was enhanced by constructing two crossover and four mutation operators. An improved SA embedding …

Ultra-Short-Term Photovoltaic Power Prediction Method Based On Spatio-Temporal Feature Enhancement Of Ground-Based Cloud Images, Zhiwei Kou, Fengyue Xin, Xiaoming Cui, Yu Yin, Feifan Li, Yongsheng Qi

Journal of System Simulation

Abstract: In view of the time lag in ground-based cloud image acquisition and the insufficient accuracy of existing photovoltaic power prediction models, an ultra-short-term photovoltaic power prediction method named spatial-temporal feature enhancement-ground-based cloud image-improved LSTM (STFE-GCI-ILSTM), which is based on spatio-temporal feature enhancement-ground-based cloud images-improved long short-term memory (LSTM) network was proposed. A ground-based cloud image prediction model with multi-scale spatio-temporal feature enhancement (STFE-GCI) was constructed. By spatial feature enhancement, temporal feature enhancement, and multi-scale feature fusion technologies, the deep spatio-temporal features of historical cloud image sequences were extracted to generate future predicted cloud image sequences, thereby eliminating the time …

Prediction Of Industrial Concentration Parameters Based On Caudformer Model, Kaipeng Xu, Yan Wang, Xin Zhang, Yang Liu, Zhenzhong Wang, Xiang Liu, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the problems in the industrial concentration process of traditional Chinese medicine that traditional prediction methods are difficult to deal with complex characteristics such as nonlinearity, high-dimensional coupling, and highly skewed distribution and that existing deep learning models insufficiently consider causal relationships among variables, ignore frequency-domain periodic characteristics, and lack long-range dependency modeling capabilities, an improved multivariate time series prediction model CauDformer was proposed in this paper. Based on the iTransformer architecture, a causal multi-head self-attention mechanism (C-MHSA) was introduced to compulsorily constrain the dependency direction among variables by utilizing a lower triangular causal mask, guiding the model …

Accountable Agents In Software Engineering: An Analysis Of Terms Of Service And A Research Roadmap, Christoph Treude

Research Collection School Of Computing and Information Systems

AI coding assistants and autonomous agents are becoming integral to software development workflows, reshaping how code is produced, reviewed, and maintained. While recent research has focused mainly on the capabilities and impacts of productivity of these systems, much less attention has been paid to accountability: who is responsible when agents generate, modify, or recommend code? In practice, accountability is defined through the Terms of Service (ToS) and related policy documents that govern the use of AI-powered development tools.In this vision paper, we present a comparative analysis of the Terms of Service for widely used AI coding assistants and agent-enabled development …

A Framework For Top-K Queries With Constrained Preferences, Kyriakos Mouratidis, Nikolaos Chaloulakos, Bo Tang

Research Collection School Of Computing and Information Systems

Traditional rank-aware processing assumes a dataset that contains available options to cover a specific need (e.g., restaurants, hotels, etc) and users who browse that dataset via top-k queries with linear scoring functions, i.e., by ranking the options according to the weighted sum of their attributes, for a set of given weights. In practice, however, user preferences (weights) may only be estimated with bounded accuracy, or may be inherently imprecise due to the inability of a human user to specify exact weight values with absolute accuracy. Motivated by this, we define the constrained-preference top-k (CT) query. Given an approximate description of …

Spatiotemporal Sycophancy: Negation-Based Gaslighting In Video Large Language Models, Ziyao Tang, Pengkun Jiao, Bin Zhu, Huiyan Qi, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Video Large Language Models (Vid-LLMs) have demonstrated remarkable performance in video understanding tasks, yet their robustness under conversational interaction remains largely underexplored. In this paper, we identify spatiotemporal sycophancy, a failure mode in which Vid-LLMs retract initially correct, visually grounded judgments and conform to misleading user feedback under negation-based gaslighting. Rather than merely changing their answers, the models often fabricate unsupported temporal or spatial explanations to justify incorrect revisions. To systematically investigate this phenomenon, we propose a negation-based gaslighting evaluation framework and introduce GasVideo-1000, a curated benchmark designed to probe spatiotemporal sycophancy with clear visual grounding and temporal reasoning requirements. …

Investigating And Re-Imagining Contemporary Religious Leadership, Amy Lawton, Feyza Akova

Sociology Faculty Research and Scholarship

Sociologists, anthropologists, cognitive scientists, and others have shown that religion is a feature of life in every known human society (Bellah 2011). While the cultural contexts, organizing principles, and values of each religion differ greatly – so much so that “religion” is a problematic universal category (Asad 1993) – many religions do share certain characteristics. One of those characteristics – shared among most social groups regardless of their purpose – is leadership, variously defined. Spiritual and religious groups, gatherings, and collectives have specific individuals that they turn to for wisdom, spiritual or moral guidance, fostering community, and/or ritual facilitation. We …

Life Cycle Of Lithium-Ion Battery Recycling Systems Enable Carbon Capture, Utilization, And Storage: A Review, Nabeel Al-Qirim, Mohammad Kamrul Hasan, Hussam Al Hamadi, Akm Ahasan Habib, Shayla Islam

All Works

The lithium-ion battery (LIB) is the primary component of electric vehicles (EVs), and its environmental consequences are significant for the eventual widespread adoption of EVs. Recycling used LIBs protects the environment and allows for the reuse of valuable materials. To achieve the goal of a circular economy, LIB recycling processes that conserve environmentally friendly resources and maintain sustainability need to be developed. The critical technology for achieving global climate goals is carbon capture, utilization, and storage (CCUS), which makes it possible to significantly lower carbon dioxide (CO2) emissions across power and industrial systems. The LIB recycling and CCUS are becoming …

Outcomes With Cerclage For Short Cervix ≤20.9 Mm Before 24 Weeks In Singletons Without Prior Preterm Birth: A Focused Meta-Analysis Of Randomized Controlled Trials, Rupsa Boelig, Kypros Nicolaides, Orion Rust, Katsufumi Otzuki, Sietske Althuisius, Gabriele Saccone, Vincenzo Berghella

Department of Obstetrics and Gynecology Faculty Papers

No abstract provided.

Cefepime Pharmacokinetics In Critically Ill Children With Multiple Organ Dysfunction Syndrome Using Volumetric Absorptive Microsampling, Victor Amajor, Amanda Bwint, Steven Shein, Janet Hume, Courtney Rowan, Leeanne Flygt, Matthew Malone, Erin Stenson, Scott Weiss, Matt Zinter, Sujatha Kannan, Mary Dahmer, Ryan Nofziger, Manjunath Pai, Athena Zuppa, Nathaniel Rhodes, Mark Hall, Marc Scheetz, Kevin Downes

Department of Pediatrics Faculty Papers

Up to half of critically ill children experience multiple organ dysfunction syndrome (MODS), which worsens outcomes and increases mortality risk. Cefepime is a broad-spectrum antibiotic commonly used in pediatric sepsis, but its pharmacokinetics during MODS has not been evaluated. We performed a prospective, observational study of critically ill children with MODS who were administered cefepime and collected up to 15 whole blood samples over 3 days using volumetric absorptive microsampling (VAMS). We performed nonlinear mixed-effects modeling to develop a population PK model for cefepime in children with MODS. We then reran our final population PK model using estimated plasma concentrations …

Usa V. Naajeh Torres

2026 Decisions

USDC for the Middle District of Pennsylvania

Improving Iv Access Outcomes In Obstetric Care Through A-Diva Scale Utilization And Point-Of-Care Ultrasound, Parth S. Patel, Matthew T. Komorowski

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Obstetric (OB) patients frequently present physiological changes, including edema, obesity, and peripheral vasoconstriction, that increase the risk of difficult intravenous access (DIVA). Multiple IV attempts can delay time-sensitive therapies in obstetric emergencies and increase patient discomfort and provider workload. Research studies have supported the use of the Modified Adult Difficult Intravenous Access (A-DIVA) scale to assess patients for DIVA, and the use of point-of-care ultrasound (POCUS) guided peripheral intravenous access (PIVA). In 2025, a preceding Doctor of Nurse Anesthesia Practice (DNAP) project implemented A-DIVA in the Labor & Delivery (L&D) unit of an OB department and found that 35% of …

From Gap To Growth: Academic Librarian Perspectives On Why Collaboration And Curriculum Matter, Stephanie Hallam

Library Faculty Scholarship

Incoming undergraduate students possess information literacy skillsets impacted by several factors, such as prior development of information literacy skills, librarian-faculty collaboration, and GenAI advancements. Academic librarians’ perspectives on undergraduate students’ library use and information literacy skills were examined via a 2025 survey of 337 undergraduate academic librarians. Using the Pearson bivariate method, the authors identified themes pertaining to the challenges students face as well as librarian-proposed solutions. Open responses from librarians provide additional insights. The results showed that librarians desire faculty partnerships and collaborative library instruction to improve information literacy skills and library use.

Empowering Domestic Violence Survivors Through Community-Based Self-Regulation Suppor, Xen Gabrielle O. Advincula

Occupational Therapy Student Capstones

Purpose: Program development of trauma-informed, occupation-based resources and program and incorporating OT-related principles to support occupational balance and engagement of survivors of DV and IPV

Goal: Enhance and support the staff’s capacity and understanding of OT-scope in community settings and incorporation of OT-focused self-regulation strategies

Outcome: Increase the staff’s confidence levels of knowledge on the scope of OT within community-based settings and OT-related strategies to support self-regulation levels