Digital Commons Network^™

Characterization Of A Time-Resolved, Real-Time Scintillation Dosimetry System For Ultra-High Dose-Rate Radiation Therapy Applications, Alexander Baikalov, Daline Tho, Kevin Liu, Stefan Bartzsch, Sam Beddar, Emil Schüler

Faculty, Staff and Student Publications

Purpose: Scintillation dosimetry has promising qualities for ultra-high-dose-rate (UHDR) radiation therapy (RT), but no system has shown compatibility with mean dose rates (DR¯) above 100 Gy/s and doses per pulse (Dp) exceeding 1.5 Gy typical of UHDR (FLASH)-RT. The aim of this study was to characterize a novel scintillation dosimetry system with the potential of accommodating UHDRs.

Methods and materials: We undertook a thorough dosimetric characterization of the system on an UHDR electron beamline. The system's response as a function of dose, DR¯, Dp, and the pulse dose-rate (DRp) was investigated, as was the system's dose sensitivity (signal per unit …

The Role Of Chatgpt In Personal Statements For Plastic Surgery Residency Applications: Program Directors' Perspective., Krishna A Patel, Carly J Suriano, Jeffrey E Janis

Medical Education Articles

BACKGROUND: Personal statements are a required component of plastic surgery residency applications but can be extremely time- and labor-intensive. Artificial intelligence (AI) programs like ChatGPT can streamline personal statement writing, but their use, especially if undisclosed, can have ethical implications. This study elucidates the perspective of plastic surgery residency program directors (PDs) regarding the importance of personal statements in reviewing applicants and whether ChatGPT should be utilized.

METHODS: An anonymous, 6-question multiple-choice survey was designed and administered in 3 rounds via REDCap to 120 current plastic surgery residency PDs. An additional email reminder was administered by the principal investigator. Data …

Red Note New Music Festival Program, 2025, School Of Music, Carl Schimmel, Alex Stephenson

Red Note New Music Festival

The RED NOTE New Music Festival at Illinois State University is a week-long event which features outstanding performances of contemporary concert music.

Redbird Scholar, Vol. 10, No. 2 (Spring 2025), Illinois State University, Office Of The Vice President For Research And Graduate Studies

Redbird Scholar

No abstract provided.

Challenges And Opportunities In Using Cognitive Screeners For Adolescents And Young Adults With Bipolar Disorder, Rebekah S Huber, Sally Weinstein, Aimee E Sullivan, Melissa M Batt, Jennifer Vande Voort, Melinda Westlund Schreiner, Funlola Are, Ioanna Douka, Melissa Delbello, Manpreet K Singh, Leslie Hulvershorn, Ramnarine Boodoo, Christopher J Hammond, James R Brasic, Neera Ghaziuddin, Richard Dopp, Leslie Miller

Faculty, Staff and Student Publications

Adolescents and young adults with bipolar disorder often experience cognitive deficits that hinder academic performance and social interactions, affecting long-term outcomes. Identifying cognitive impairments is crucial for improving clinical management of bipolar disorder. Use of cognitive screeners is recommended to identify cognitive difficulties and for ongoing assessment. Although cognitive screeners are effective with adults, their use with adolescents and young adults is limited. This project assessed clinicians' attitudes and practices regarding cognitive screening of adolescents and young adults with bipolar disorder. The National Network of Depression Centers (NNDC) Child and Adolescent Mood Disorders Task Group developed a survey for clinicians …

A New Multiple Imputation Method For High-Dimensional Neuroimaging Data, Tong Lu, Peter Kochunov, Chixiang Chen, Hsin-Hsiung Huang, L Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

Missing data are a prevalent challenge in neuroimaging, with significant implications for downstream statistical analysis. Neglecting this issue can introduce bias and lead to erroneous inferential conclusions, making it crucial to employ appropriate statistical methods for handling missing data. Although the multiple imputation is a widely used technique, its application in neuroimaging is severely hindered by the high dimensionality of neuroimaging data, and the substantial computational demands. To tackle the critical computational challenges, we propose a novel approach, High dimensional Multiple Imputation (HIMA), based on Bayesian models specifically designed for large-scale neuroimaging datasets. HIMA introduces a new computational strategy to …

The Impact Of Atlas Parcellation On Functional Connectivity Analysis Across Six Psychiatric Disorders, Xiaoya Wu, Chuang Liang, Juan Bustillo, Peter Kochunov, Xuyun Wen, Jing Sui, Rongtao Jiang, Xiao Yang, Zening Fu, Daoqiang Zhang, Vince D Calhoun, Shile Qi

Faculty, Staff and Student Publications

Neuropsychiatric disorders are associated with altered functional connectivity (FC); however, the reported regional patterns of functional alterations suffered from low replicability and high variability. This is partly because of differences in the atlas and delineation techniques used to measure FC-related deficits within/across disorders. We systematically investigated the impact of the brain parcellation approach on the FC-based brain network analysis. We focused on identifying the replicable FCs using three structural brain atlases, including Automated Anatomical Labeling (AAL), Brainnetome atlas (BNA) and HCP_MMP_1.0, and four functional brain parcellation approaches: Yeo-Networks (Yeo), Gordon parcel (Gordon) and two Schaefer parcelletions, among correlation, group difference, …

Selected Social And Lifestyle Correlates Of Brain Health Markers: The Cross-Cohort Collaboration Consortium, Leslie Grasset, Joshua C Bis, Stefan Frenzel, Daniel Kojis, Jeannette Simino, Amber Yaqub, Alexa Beiser, Claudine Berr, Jan Bressler, Robin Bülow, Charles S Decarli, Alison E Fohner, Laura B Harrington, Catherine Helmer, M Arfan Ikram, Rozenn N Lemaitre, Oscar L Lopez, W T Longstreth, Julia Neitzel, Michelle C Odden, Priya Palta, Carsten O Schmidt, Rajesh Talluri, Meike W Vernooij, Henry Völzke, Trudy Voortman, Quest Whalen, Katharina Wittfeld, Hans J Grabe, Thomas H Mosley, Bruce M Psaty, Frank J Wolters, Sudha Seshadri, Carole Dufouil

Faculty, Staff and Student Publications

Introduction: To investigate the associations of education level, marital status, and physical activity with dementia risk and brain MRI markers.

Methods: Data from six community-based samples from the Cross-Cohort Collaboration Consortium were analyzed. Self-reported education level, marital status, and physical activity at age 60 to 75 years were harmonized. Subsamples of participants with brain MRI markers at time of exposure were selected. Associations with dementia risk and cross-sectional MRI markers were meta-analyzed.

Results: Higher education level was associated with lower dementia risk (hazard ratio [HR] = 0.65, 95% confidence interval [CI] = 0.59; 0.72 vs low level) but not significantly …

A Scoping Review Of Interventions To Address Financial Toxicity In Pediatric And Adult Patients And Survivors Of Cancer, Christina Ping, D Carolina Andrade, Ashley Housten, Michelle Doering, Eliana Goldstein, Mary C Politi

2020-Current year OA Pubs

BACKGROUND: Financial toxicity (FT) is a common and significant challenge for people with cancer, impacting immediate clinical outcomes such as treatment adherence, as well as long-term outcomes such as quality of life and mortality. Multiple studies have tested interventions to address FT and develop recommendations for their implementation.

METHODS: In this scoping review, we analyzed thirty-six studies across 35,405 participants examining institution-based interventions for FT in both pediatric and adult patients and survivors of cancer in the U.S.

RESULTS: Common interventions included: financial navigation (n = 15), direct financial/medical assistance (n = 8), financial counseling or coaching (n = 5), …

Underlying Mechanisms Of The Effect Of Microfines Of Manufactured Sand On Non-Linear Structural Build-Up Of Cement Paste, Jiang Zhu, Jiaping Liu, Kamal H. Khayat, Xin Cheng, Wei Zhao, Zhen Li, Xin Shu, Yongbo Huang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The rheological properties of cement-based materials made with manufactured sand vary with the content and physio-chemical properties of microfines in the sand. However, the evaluation of rheological properties regarding the structural build-up at early-age hydration remains challenging for the cementitious materials prepared with different manufactured sands, due to complicated underlying structuration mechanisms. This paper studies the effect of disparate microfines of different manufactured sands on the non-linear growth of static yield stress of cement pastes at rest. The paste mixtures were prepared with 0.40 and 0.275 water-to-cement mass ratio (W/C) and had a fixed mini-slump flow of 240 ± 5 …

Quality Assurance Framework For Recovered Binders And Aggregates From Asphalt Mixtures Incorporating Recycled Materials, Eslam Deef-Allah, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study proposes that a proactive quality assurance (QA) framework for asphalt mixes with recycled materials, i.e., reclaimed asphalt pavement and recycled asphalt shingles, should be developed. Quality control (QC) is generally concerned with the contractor's obligation to produce mixes which meet the job mix formula (JMF) targets. However, QA considers the variability in fabrication processes and materials and offers monitoring by evaluating the contractor's performance. Although both aggregate gradations and asphalt contents were within the JMF specifications, the recovered binders revealed significant differences from the contract binders in the JMF. Rheological tests indicated increased stiffness and elasticity but reduced …

Co2 Utilization For Cementitious Materials - A Review, Seongho Han, Jae Hong Kim, Rohitashva Kumar Singh, Surendra P. Shah

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This review examines methods for utilizing CO₂ in construction materials to reduce the carbon footprint of cement and concrete production. Key approaches include direct carbonation of calcium silicates through CO₂ curing, use of industrial by-products as supplementary cementitious materials activated by carbonation, production of alternative binders and aggregates via CO₂ treatment of waste materials, injection of CO₂ into fresh concrete mixtures, and use of CO₂-dissolved mixing water. Both academic research and emerging commercial technologies are covered. While these methods show promise for enhancing material properties and sequestering CO₂, challenges remain in optimizing …

Parent-Child Agreement On Fatigue In Pediatric Otolaryngology Patients, Amy E Ensing, Amy L Zhang, Rebecca Z Lin, Emma K Landes, Henok Getahun, Judith E C Lieu

2020-Current year OA Pubs

OBJECTIVES: To investigate parent-child agreement on fatigue reporting in pediatric otolaryngology patients and whether agreement might vary by diagnosis and other patient factors.

STUDY DESIGN: Cross-sectional survey.

METHODS: Patients ages 5-18 years old being evaluated for hearing loss (HL) or obstructive sleep apnea (OSA) were recruited from a pediatric otolaryngology clinic and sleep center. Children and parents completed the Pediatric Quality of Life Inventory Multidimensional Fatigue Scale (PedsQL MFS).

RESULTS: Responses of 42 patients with HL, 49 with OSA, 10 with sleep-disordered breathing (SDB), and 34 controls were analyzed. Parent and child PedsQL MFS scores were strongly correlated (Pearson

CONCLUSION: …

Approximations And Bounds For Optimal Controls Via Finite Fourier Series, Gabriel Nicolosi, Terry Friesz, Christopher Griffin

Engineering Management and Systems Engineering Faculty Research & Creative Works

This work considers the problem of approximating initial condition and time-dependent optimal control and trajectory surfaces using multivariable finite Fourier series. A modified Augmented Lagrangian algorithm for translating the optimal control problem into an unconstrained optimization one is proposed. A quadratic control problem in the context of Newtonian mechanics is solved to demonstrate the proposed algorithm and various computational results are presented. Use of automatic differentiation is explored to circumvent the elaborated gradient computation in the first-order optimization procedure. Furthermore, mean square error bounds are derived for the case of one and two-dimensional Fourier series approximations, suggesting a general bound …

Haemato-Urological Profile And Asymptomatic Urinary Tract Infection In Ghanaian Steady-State Sickle Cell Disease Patients: A Case-Control Study, Stephen Twumasi, Richard Owusu Ansah, Samuel Essien-Baidoo, Laud Anthony W. Basing, Alexander Yaw Debrah, Enoch Odame Anto, Allwell Adofo Ayirebi, Rebecca Asiamah-Broni, Waldemer Attivor, Eric Twum Ameyaw, Gabriel Addai Manu, Edward Afriyie, Thomas Kwabena Gyampomah, Joseph Nkrumah Opoku, Prince Kwadwo Amoafo, Samuel Kelvin Owusu, Vincent Akwai, Matthew Talmang, Amos Mensah, Isaac Kusi-Amponsah, Angela Opoku, Lilian Antwi Boateng

Research outputs 2022 to 2026

Background and Aims: Due to the reduction in immunity caused by auto-splenectomy and the consequent opsonic antibody shortage, patients with SCD are more susceptible to encapsulated organism infections, especially asymptomatic urinary tract infection (ASM-UTI). This study investigated the prevalence of ASM-UTI and compared urine and hematology parameters among SCD patients in Ghana to their healthy counterparts. Methods: In this study, 104 SCD participants (cases) and 80 non-SCD (HbAA) controls were recruited. Participants' information was thoroughly documented using a well-structured questionnaire and patient case records. To achieve the study's aims, a mid-stream urine in a cleaned dry aseptic urine capped container …

Exploring Dynamic Extreme Dependence Of Oil And Agricultural Markets, Khalid M. Kisswani, Amine Lahiani, Mahelet G. Fikru

Economics Faculty Research & Creative Works

This study examines the dynamic extreme dependence between oil markets and a set of non-exploited agricultural assets (Barley, coffee, maize, rice, sorghum, sugar, wheat) prices using 1990–2023 monthly prices data. Our time-varying copula models allow us to investigate nonlinear and asymmetric dependence between pairwise assets. We find evidence of positive exceedance correlation at small and medium quantiles/thresholds and negative exceedance correlation for quantiles higher than 0.6 for five out of seven food assets. Findings also indicate a tent-shaped quantile dependence for all food assets and demonstrate a time variation in the association path between oil and food asset returns. Important …

Analytical Dispatch Strategies For Pumped Storage Hydro: A Conditional Dynamic Programming Approach To Discontinuous Multi-Period Optimization Problems, Jian Liu, Jianwen Zhang, Zaiwu Gong, Donald C. Wunsch, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

The increasing integration of renewable energy sources like wind and solar poses significant challenges to secure and stable grid operation. Energy storage systems, particularly pumped storage hydro (PSH), play a crucial role in balancing power supply and demand. Traditional analytical studies of PSH economic dispatch problems often assume zero lower bounds for generating and pumping rates to simplify analysis and derive analytical solutions for multi-period optimization problems. However, the inherent mechanical design constraints of PSH require non-zero minimum flow rates for efficient operation. We analyze two scenarios, merchants having PSH only and merchants having both PSH and wind farms. In …

Transforming Optical Vernier Effect Into Coherent Microwave Interference Towards Highly Sensitive Optical Fiber Sensing, Ruimin Jie, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

The optical Vernier effect has garnered significant research attention and found widespread applications in enhancing the measurement sensitivity of optical fiber interferometric sensors. Typically, Vernier sensor interrogation involves measuring its optical spectrum across a wide wavelength range using a high-precision spectrometer. This process is further complicated by the intricate signal processing required for accurately extracting the Vernier envelope, which can inadvertently introduce errors that compromise sensing performance. In this work, we introduce a novel approach to interrogating Vernier sensors based on a coherent microwave interference-assisted measurement technique. Instead of measuring the optical spectrum, we acquire the frequency response of the …

Financial Harm In Gambling Help-Seeking: A Scoping Review, Elizabeth Halle Smith

Electronic Theses and Dissertations Archive

Gambling literature often references financial harm, an objective experience following gambling-related financial losses. Financial harm alongside emotional distress has been implicated in help-seeking for problem gambling, indicating the importance of subjective reactions to financial harm and its perceived severity. It is unclear whether the gambling literature measures both objective and subjective experiences of financial harm. To explore the implications of financial harm on gambling help-seeking behaviors, this scoping review explored how the gambling literature measures financial harm among gambling help-seeking populations. In 84 articles, financial harm was defined through objective metrics such as debt and bankruptcy. Although financial harms were …

What Is Sports Wagering? A Scoping Review, Ji Wan Wan Son

Electronic Theses and Dissertations Archive

Sports wagering has been defined as wagering on the outcome of an athletic competition, specifically a single-game sporting event. In recent years, this definition has proven insufficient to account for the different technological opportunities to engage in sports wagering. The goal of this scoping review was to examine the terms, definitions, and specific gambling activities that comprise sports wagering and to review operationalizations of sports wagering measurement. A systematic search was used to extract (e.g., betting, gambling), definitions, gambling modes (online vs. in-person), encompassed activities, and measurement methods. Seventy-seven articles reveal similarities and discrepancies in the definitions and operations of …

Counting Everyone: Using Demographic Data To Build Representative Repositories, April K. Anderson-Zorn

Faculty and Staff Publications – Milner Library

In 2021, the Rayfield Archives migrated from Archon to ArchivesSpace. During the transfer, we asked “Does our repository reflect all of our campus communities?” While we do collect administration-focused records, we also collect affinity and service group records and faculty papers. We ran reports to identify percentages of demographics represented in our collections with little success. Anderson-Zorn began work on creating a controlled vocabulary to apply processed and accessioned materials to understand trends in collecting and identify areas that need improvement.

Data Driven Multi-Objective Optimization Of The Scheduling For Towing A Floating Offshore Wind Turbine Between Assembly Port And Installation Location Throughout A Year, Frédéric Le Pivert, Adam Roberts, Adan Lopez-Santander, Matthew Craven, Saeid Kazemi

School of Engineering, Computing and Mathematics

High demand for the installation of floating offshore wind turbines over the coming years is likely to place significant pressure on ports and installation vessels. Optimization of the routes between ports and farms and the towing schedule when transporting equipment is therefore critical to reducing operation timescales and carbon emissions. This paper presents two series of multi-objective optimizations for minimizing the timescale and carbon emissions for the case of an IEA 15 MW turbine on a VolturnUS-S platform being wet towed through the English Channel to the Celtic Sea. The study makes use of the Maritime Simulation Laboratory (MSL) Ship …

Volume 34, Number 1, Spring 2025, Office Of Communications, Illinois Wesleyan University

Illinois Wesleyan University Magazine, 2018-present

VOLUME 34 | NUMBER 1 | Spring 2025

ON OUR COVER:

The Shirk Center has been a cherished University landmark for 30 years.

22 30 Years of Shirk. In 2024, the Shirk Center reaced a new milestone with its 30th anniversary. The Center still serves as an essential community hub for campus and Bloomington-Normal.

24 A Hearth for Haiti. Kevin Hineline '88 is working with IWU physics students to develop a new cooking stove for use in the most impoverished and disaster-stricken regions of the world.

28 Setting the Standard. Jeff Becker '01 and Matt Gavin '01 are the minds …

Tellecollaboration Task L2l, Susanna Nocchi, Morgana Valentina

Case studies: Digital Education

The Italian Telecollaboration project began in 2021 as a partnership between Language Studies at TU Dublin, DCU, and Università Cattolica del Sacro Cuore in Milan, Italy. DCU is no longer involved and the initiative now continues as a collaboration between TU Dublin students of Italian and Università Cattolica students of English. The Telecollaboration is offered as a 2 ECTS module in Università Cattolica (see Collaborative Online International Learning) while at TU Dublin it is integrated into the language interaction assessment for the Italian Language 2A module, within the IBL degree. During Semester 2, students from both universities work in pairs …

Multiphase Iterative Algorithm For Mixed-Integer Optimal Control, Chaoying Pei, Sixiong You, Yu Di, Ran Dai

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Mixed-integer optimal control problems (MIOCPs) frequently arise in the domain of optimal control problems (OCPs) when decisions including integer variables are involved. However, existing state-of-the-art approaches for solving MIOCPs are often plagued by drawbacks such as high computational costs, low precision, and compromised optimality. In this study, we propose a novel multiphase scheme coupled with an iterative second-order cone programming (SOCP) algorithm to efficiently and effectively address these challenges in MIOCPs. In the first phase, we relax the discrete decision constraints and account for the terminal state constraints and certain path constraints by introducing them as penalty terms in the …

On The Probability Of Necessity And Sufficiency Of Explaining Graph Neural Networks: A Lower Bound Optimization Approach, Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao

Research Collection School Of Computing and Information Systems

The explainability of Graph Neural Networks (GNNs) is critical to various GNN applications, yet it remains a significant challenge. A convincing explanation should be both necessary and sufficient simultaneously. However, existing GNN explaining approaches focus on only one of the two aspects, necessity or sufficiency, or a heuristic trade-off between the two. Theoretically, the Probability of Necessity and Sufficiency (PNS) holds the potential to identify the most necessary and sufficient explanation since it can mathematically quantify the necessity and sufficiency of an explanation. Nevertheless, the difficulty of obtaining PNS due to non-monotonicity and the challenge of counterfactual estimation limit its …

Chatcrs: Incorporating External Knowledge And Goal Guidance For Llm-Based Conversational Recommender Systems, Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li

Research Collection School Of Computing and Information Systems

This paper aims to efficiently enable large language models (LLMs) to use external knowledge and goal guidance in conversational recommender system (CRS) tasks. Advanced LLMs (e.g., ChatGPT) are limited in domain-specific CRS tasks for 1) generating grounded responses with recommendation-oriented knowledge, or 2) proactively leading the conversations through different dialogue goals. In this work, we first analyze those limitations through a comprehensive evaluation, showing the necessity of external knowledge and goal guidance which contribute significantly to the recommendation accuracy and language quality. In light of this finding, we propose a novel ChatCRS framework to decompose the complex CRS task into …

Rethinking Neural Multi-Objective Combinatorial Optimization Via Neat Weight Embedding, Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong

Research Collection School Of Computing and Information Systems

Recent decomposition-based neural multi-objective combinatorial optimization (MOCO) methods struggle to achieve desirable performance. Even equipped with complex learning techniques, they often suffer from significant optimality gaps in weight-specific subproblems. To address this challenge, we propose a neat weight embedding method to learn weight-specific representations, which captures weight-instance interaction for the subproblems and was overlooked by most current methods. We demonstrate the potentials of our method in two instantiations. First, we introduce a succinct addition model to learn weight-specific node embeddings, which surpassed most existing neural methods. Second, we design an enhanced conditional attention model to simultaneously learn the weight embedding …

Learning-Guided Bi-Objective Evolutionary Optimization For Green Municipal Waste Collection Vehicle Routing, Shubing Liao, Yixin Xu, Yunyun Niu, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Waste management has emerged as a critical issue in modern society, where vehicles are scheduled to visit multiple locations for waste collection and transport. This study focuses on a key problem in waste management: route optimization of waste collection vehicles, and formulate it as a bi-objective vehicle routing problem with stochastic demand (VRPSD), aiming to minimizing both total costs and carbon emissions. Although previous studies have significantly advanced our understanding of solving similar problems, the lack of real-world data and limited problem-solving capabilities still restrict the practical applicability of existing methods. To bridge this research gap, this study designed a …

Agentstudio: A Toolkit For Building General Virtual Agents, Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan

Research Collection School Of Computing and Information Systems

General virtual agents need to handle multimodal observations, master complex action spaces, and self-improve in dynamic, open-domain environments. However, existing environments are often domain-specific and require complex setups, which limits agent development and evaluation in real-world settings. As a result, current evaluations lack in-depth analyses that decompose fundamental agent capabilities. We introduce AgentStudio, a trinity of environments, tools, and benchmarks to address these issues. AgentStudio provides a lightweight, interactive environment with highly generic observation and action spaces, e.g., video observations and GUI/API actions. It integrates tools for creating online benchmark tasks, annotating GUI elements, and labeling actions in videos. Based …