Digital Commons Network^™

3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat

Theses

This study explores the enhanced compressive behavior of 3D-printed single and double gyroid solid-networks lattices. Where the double gyroids are constructed from two intertwined single gyroid structures. These structures were designed by nTop implicit modeling tool and then fabricated by material extrusion additive manufacturing method at optimized printing parameters, including optimized nozzle temperature and raster angle. The main objective of this study is to reveal the compressive behavior of the novel double gyroid lattice structure and then to tailor its response through variable gyroid heights. Standard polymer tests were performed, considering thermogravimetric analysis, to confirm the thermal stability of the …

Bridging Generations: Intergenerational Transfers And Time Use In A Changing World, Christine Ho

Research Collection School Of Economics

This Special Issue brings together nine papers that examine how families allocate time and money across generations. Spanning aging societies in East Asia to informal settlements in the Pacific, the contributions employ diverse methodological approaches, from natural experiments and policy variation to administrative data linkage and cross-generational panel surveys. The findings converge on a central insight: intergenerational transfers of time and money are not merely cultural practices, but systematic responses to changing economic environments and institutional frameworks. Family decisions are critical to the provision of long-term care, investment in children’s human capital, and the transmission of preferences, opportunities, and well-being …

Is R&D Rivalry Slowing The Growth Of Productive Firms?, Yoshiki Ando, James Bessen, Xiupeng Wang

Research Collection School Of Economics

The reallocation of jobs to more productive firms is a substantial component of aggregate productivity growth, yet job reallocation rates have declined substantially in the United States. This paper explores the hypothesis that greater technological rivalry has exacerbated adjustment costs, slowing reallocation. Using microdata at the US Census and estimates of technological rivalry in firm growth regressions, we find that technological rivalry slows firm responses to productivity shocks. Firms do not expand as rapidly in the face of higher obsolescence risk. Estimating counterfactual firm growth from 1997-2018, we find that growing technological rivalry accounts for most of the decline in …

Multimedia Forensics: Identification And Verification Of Source Camera, Vehicle Speed Estimation, And Deepfakes Detection, Jiajun Jiang

Electrical & Computer Engineering Theses & Dissertations

This dissertation advances multimedia forensics by addressing three critical research areas that enhance the authenticity verification and analysis of digital media. Multimedia forensics, which encompasses techniques for examining images, videos, audio, and text, faces increasing challenges due to sophisticated editing tools and massive data volumes. In the first study, a fast source camera identification and verification method based on PRNU analysis is proposed for video forensic investigations. By integrating camera rolling and I-frame analysis, this approach achieves a processing speed improvement of at least 15 times over conventional frame-by-frame methods while reducing false positives. The second study focuses on vehicular …

Persistence And Completion Rates Of Community College Students: The Impact Of Receptivity To Social Engagement Scores Compared To Recorded Cocurricular Activity, Nancy Wagner Boylan

Educational Leadership & Workforce Development Theses & Dissertations

This study examined the relationship between Ruffalo Noel Levitz College Student Inventory Receptivity to Social Engagement scores and the persistence and completion of community college students. The Ruffalo Levitz College Student Inventory assesses student receptivity to institutional support services. Receptivity scores indicate a student's willingness to accept help in areas such as academic support and social engagement as well as career and financial guidance.

This research explored the impact of documented cocurricular involvement, measured through student activities indicators, on persistence and completion outcomes. Using ex post facto data and binary logistic regression analyses, the research focused on three populations at …

Draining Development: The Changing Nature Of Corruption In Post-Independence India, Chandra Tiwari

Graduate Program in International Studies Theses & Dissertations

The economic growth of emerging economies, particularly India’s, stands at a crossroads as the fight against corruption intensifies. Corruption poses a significant threat to the overall development of a country, necessitating the convergence of technological advances with national and global initiatives to combat the issue. Despite several ongoing efforts taken by international bodies to enforce regulations, challenges persist in curbing this issue due to the fundamental behavioral and structural factors at play. This dissertation investigates the dynamic evolution of corruption within a cash-based economy, a period of trade openness, and the contemporary digitalized age in India through a comparative case …

A Three-Stage Matheuristic For The Blood Stochastic Inventory Routing Problem, Vincent F. Yu, Nabila Salsabila, Aldy Gunawan, Aldy Gunawan, Nurhadi Siswanto

Research Collection School Of Computing and Information Systems

This research introduces a blood distribution system under vendor-managed inventory that considers uncertain supply and demand. We present it as the Blood Stochastic Inventory Routing Problem, formulating it as a two-stage stochastic programming model. To solve this problem, this study proposes a three-stage matheuristic that combines a perturbation heuristic, Adaptive Large Neighborhood Search, and an exact approach. From historical data of Surabaya Blood Center in Indonesia, six sets of new instances are generated under different settings. Computational results show that our proposed three-stage matheuristic outperforms CPLEX and a two-stage matheuristic by gaining optimal or better solutions within a significantly shorter …

How To Enable Effective Cooperation Between Humans And Nlp Models: A Survey Of Principles, Formalizations, And Beyond, Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Huang

Research Collection School Of Computing and Information Systems

With the advancement of large language models (LLMs), intelligent models have evolved from mere tools to autonomous agents with their own goals and strategies for cooperating with humans. This evolution has birthed a novel paradigm in NLP, i.e., human-model cooperation, that has yielded remarkable progress in numerous NLP tasks in recent years. In this paper, we take the first step to present a thorough review of human-model cooperation, exploring its principles, formalizations, and open challenges. In particular, we introduce a new taxonomy that provides a unified perspective to summarize existing approaches. Also, we discuss potential frontier areas and their corresponding …

Fact-Audit: An Adaptive Multi-Agent Framework For Dynamic Fact-Checking Evaluation Of Large Language Models, Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly advanced the fact-checking studies. However, existing automated fact-checking evaluation methods rely on static datasets and classification metrics, which fail to automatically evaluate the justification production and uncover the nuanced limitations of LLMs in fact-checking. In this work, we introduce FACT-AUDIT, an agent-driven framework that adaptively and dynamically assesses LLMs’ fact-checking capabilities. Leveraging importance sampling principles and multi-agent collaboration, FACT-AUDIT generates adaptive and scalable datasets, performs iterative model-centric evaluations, and updates assessments based on model-specific responses. By incorporating justification production alongside verdict prediction, this framework provides a comprehensive and evolving audit of LLMs’ factual reasoning …

Graph Positional Autoencoders As Self-Supervised Learners, Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi

Research Collection School Of Computing and Information Systems

Graph self-supervised learning seeks to learn effective graph representations without relying on labeled data. Among various approaches, graph autoencoders (GAEs) have gained significant attention for their efficiency and scalability. Typically, GAEs take incomplete graphs as input and predict missing elements, such as masked node features or edges. Although effective, our experimental investigation reveals that traditional feature or edge masking paradigms primarily capture low-frequency signals in the graph and fail to learn expressive structural information. To address these issues, we propose Graph Positional Autoencoders (GraphPAE), which employ a dual-path architecture to reconstruct both node features and positions. Specifically, the feature path …

Bioassay To Evaluate Resistance Levels In Tarnished Plant Bug (Hemiptera: Miridae) Populations In Alabama To Common Cotton Insecticides, T. J. Douglas, K. Kesheimer, A. Jacobson, S. Brown, F. R. Musser, L. S. Catchot, S. H. Graham

Midsouth Entomologist

The tarnished plant bug, Lygus lineolaris (Palisot de Beauvois), has emerged as the major insect pest of cotton in the mid-southern United States following the eradication of the boll weevil and the introduction of genetically modified Bt cotton for caterpillar pests. The objective of this study is to evaluate tarnished plant bug resistance to the five most common insecticides used for control across six distinct growing regions. Glass-vial bioassays were used to evaluate resistance of field populations in a laboratory setting. Elevated levels of resistance of tarnished plant bug to bifenthrin and, to a lesser degree, imidacloprid have been reported …

Pre-Emptive Analgesia For Periodontal And Implant-Related Surgery: A Systematic Review And Meta-Analysis, Christos Gousias, Zainab Alsuwaiyan, Alissa Fial, Shengtong Han, Dimitris N. Tatakis, Vrisiis Kofina

Library Faculty Research and Publications

Objective

This systematic review aimed to answer the question: In patients undergoing periodontal and peri-implant surgery, gingival augmentation, implant site development or placement, are pre-emptive analgesics effective in controlling post-operative pain compared with patients not receiving pre-emptive medications?

Materials and Methods

After comprehensive electronic and manual literature searches, randomised placebo-controlled clinical trials on adults undergoing the aforementioned surgeries were included. A meta-analysis was performed comparing pain (standardised mean difference) between pre-emptive medication and placebo at post-operative hours 1, 3, 6, 8, 24 and 72.

Results

Two reviewers screened 1995 titles, included 18 studies in the systematic review (open flap debridement, …

Two Essays On Firms’ Reactions To Major Events In Rival Companies, Alireza Askarzadeh

Theses and Dissertations in Business Administration

The first essay of this dissertation examines the influence of peer credit rating downgrades on firms’ financial decisions. The results show that firms respond to a rival’s downgrade by increasing excess debt capacity, excess cash holdings, excess net working capital, and the excess cash conversion cycle. They also accelerate their speed of adjustment (SOA) toward target capital structures. These adjustments are motivated by a desire to mitigate the higher costs and risks associated with financial distress and to preserve competitive advantage. Moreover, firms with more capable managers, and those operating in environments with greater market competition, higher information asymmetry, and …

Foundations Of Quality: A Toolkit For Professional Growth In Infant/Toddler Classrooms, Amber A. Hulin

Masters Projects

This project aims to tackle the issue of inconsistencies in the educational experiences provided by many early childhood programs. This project focuses primarily on the infant/toddler age group. Chapter 1 identifies a key contributing factor in these inconsistencies: a shortage of high-quality teachers due to lack of infant/toddler focused content in teacher preparation programs and further professional development. Chapter 2 reviews the literature including what a high-quality educator is and how a high-quality educator impacts a child’s development. It also identifies the various teacher preparation programs and highlights the lack of infant/toddler content in professional development. Chapter 3 presents a …

An Examination Of Inclusive Education Programs For Children With Disabilities, Haley Misiewicz

Masters Projects

This project addresses the ongoing need for high-quality professional development that equips early childhood educators with effective strategies for inclusive education. Research consistently demonstrates that inclusive settings benefit both students with disabilities and their typically developing peers, yet many educators report a lack of confidence, training, and support when implementing inclusive practices. Grounded in the principles of Universal Design for Learning (UDL) and informed by federal legislation such as IDEA and ADA, this project presents a professional development toolkit designed to support preschool through second-grade teachers in creating accessible, responsive classroom environments.

The toolkit consists of a 90-minute training session, …

Efficacy And Safety Of Oral Decitabine/Cedazuridine In The Chronic Myelomonocytic Leukaemia Subpopulations From Phase 2 And 3 Studies, Michael R Savona, Olatoyosi Odenike, Gail J Roboz, Harshad Amin, Amy E Dezern, Elizabeth A Griffiths, Kim-Hien Dao, Amer M Zeidan, Bhavana Bhatnagar, Rena Buckstein, Brian Leber, Mary-Margaret Keating, Somedeb Ball, Aram Oganesian, Yuri Sano, Harold N Keer, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

DNA methyltransferase inhibitors (DNMTis) are commonly used in treating chronic myelomonocytic leukaemia (CMML); however, data from prospective studies of DNMTis in CMML are limited. The present analysis evaluated the efficacy, safety and pharmacodynamics of the oral DNMTi decitabine/cedazuridine in the subset of patients with CMML from the phase 2 and 3 trials, which led to the approval of this agent for myelodysplastic syndromes and CMML in the United States and Canada. Potential prognostic factors also were analysed. In all, 34 patients with CMML were screened and 33 were treated. Most patients (76% [n = 25]) had myelodysplastic type-CMML and 77% …

Master Protocol Design With Hybrid Control For Efficient Early-Phase Trial Consolidation, Alexander M Kaizer, Xiaojiang Zhan, Eric Baron, Rui Sammi Tang, David S Hong, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Master protocols represent transformations, enabling multiple therapies or diseases under a single protocol. These designs streamline therapeutic development by reducing redundancies. Suited for evolving fields such as oncology and global emergencies such as the COVID-19 pandemic, master protocols have been exemplified by studies such as RECOVERY, Solidarity, and I-SPY 2, which accelerated effective treatment identification (with I-SPY 2 focused on molecular subtypes). Recent oncology examples, such as MORPHEUS, evaluate immunotherapy combinations with shared controls. Despite advantages, their application in early-phase oncology remains underutilized amid growing regulatory emphasis on randomization for robust evidence.

Methods: US Food and Drug Administration (FDA) …

Nanotechnology For Immuno-Oncology, Adam J Grippin, Daeyong Lee, Eileen E Parkes, Wen Jiang, Betty Y S Kim

Faculty, Staff and Student Publications

Although the first generation of cancer immunotherapeutics produced unprecedented improvements in clinical outcomes for individuals with cancer, novel strategies to increase treatment specificity, delivery efficiency and pharmacokinetics are still needed. In this Review, we describe the potential advantages and current limitations of nanomaterials for cancer immunotherapy and highlight rational uses of nanosystems to generate potent and durable antitumor immune responses. We close with a review of the current state of clinical development of nanomedicine for cancer immunotherapy.

Consensus Statement On The Prevention And Management Of Complications Of Fully Ablative Laser Resurfacing Of The Face, Bianca Y Kang, Joel L Cohen, Roy Geronemus, Suzanne L Kilmer, Edward Victor Ross, Elizabeth L Tanzi, Jill S Waibel, Brian J F Wong, Murad Alam, Macrene Alexiades, Kenneth A Arndt, Mathew Avram, Ashish C Bhatia, Brian Stuart Biesman, Jason D Bloom, A Jay Burns, Henry H L Chan, Catherine M Digiorgio, Jeffrey S Dover, Sam Fathizadeh, Sara C Esteves, Michael H Gold, Gerald N Goldberg, Merete Haedersdal, Elika Hoss, Omar A Ibrahimi, H Ray Jalian, Kristen M Kelly, Woraphong Manuskiatti, Lisa A Marks, Girish S Munavalli, Jason N Pozner, Chris W Robb, Anthony M Rossi, Nazanin Saedi, Peter R Shumaker, Kelly Stankiewicz, Molly Wanner, Douglas C Wu, Adam J Wulkan, Arisa Ortiz

Faculty, Staff and Student Publications

Objectives: To achieve consensus among expert laser surgeons on standards for the prevention and management of adverse events from fully ablative laser resurfacing of the face.

Materials and methods: Delphi study with two rounds of ratings and revisions until consensus was achieved. The draft set of statements was developed by a steering committee based on expert clinical experience. This was followed by two rounds of rating and revisions completed by an expert panel, then a virtual consensus meeting. In both rounds, respondents rated the draft statements on a 9-point Likert scale (1 = strongly disagree; 9 = strongly agree) and …

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection To Mitigate Immunosuppression, Duo Yu, Michael J Kane, Yiqing Chen, Steven H Lin, Radhe Mohan, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Lymphocytes play critical roles in cancer immunity and tumor surveillance. Radiation-induced lymphopenia (RIL) is a common side effect observed in patients with cancer undergoing chemoradiation therapy (CRT), leading to impaired immunity and worse clinical outcomes. Although proton beam therapy (PBT) has been suggested to reduce RIL risk compared with intensity-modulated radiation therapy (IMRT), this study used Bayesian counterfactual machine learning to identify distinct patient profiles and inform personalized radiation modality choice.

Methods: A novel Bayesian causal inferential technique is introduced and applied to a matched retrospective cohort of 510 patients with esophageal cancer undergoing CRT to identify patient profiles …

Celebrating The Fifth Edition Of The International Symposium On Fungal Stress – Isfus, A Decade After Its 2014 Debut, Alene Alder-Rangel, Amanda E A Rangel, Arturo Casadevall, Asiya Gusa, Chaoyang Xue, Charles M Boone, Chris Todd Hittinger, Claudio A Masuda, Consuelo Olivares-Yañez, Deborah Bell-Pedersen, Erica J Washington, Gerhard Braus, Guilhem Janbon, István Pócsi, Jason E Stajich, Jay C Dunlap, Joan W Bennett, Joseph Heitman, Ling Lu, Lucia Landi, Mari L Shinohara, Maurizio Del Poeta, Mavis A Acheampong, Mia R Maltz, Michael C Lorenz, Minou Nowrousian, N Louise Glass, Nichole A Broderick, Nicolás Pedrini, Nir Osherov, R Blake Billmyre, Sabrina Sarrocco, Salomé Leibundgut-Landmann, Vânia Aparecida Vicente, Xiaorong Lin, Xin-Qing Zhao, Yong-Sun Bahn, Zachary A Lewis, Drauzio E N Rangel

Faculty, Staff and Student Publications

The Fifth International Symposium on Fungal Stress (ISFUS) brought together in Brazil many of the leaders in the field of fungal stress responses, from fourteen countries, for four days of outstanding science ranging from basic research to studies with agricultural, medical, industrial, and environmental significance. In addition to the excellent oral and poster presentations, the Symposium organisers ensured that all participants had ample opportunity to engage, socialise, and network to exchange ideas and share research. The conference was enhanced by the world-class venue near Iguazu Falls, probably the greatest natural phenomenon in South America.

Development Of A Multi-Institutional Dataset To Validate A Novel Inflammatory Breast Cancer Diagnostic Score, Filipa Lynce, Samuel M Niman, Megumi Kai, Sean Ryan, Elizabeth Troll, Li Li, Kathy D Miller, Reshma Jagsi, Ginny Mason, Beth A Overmoyer, H T Carisa Le-Petross, Faina Nakhlis, Savitri Krishnamurthy, Beth T Harrison, Susie X Sun, Eren D Yeh, Jennifer R Bellon, Laura E Warren, Michael C Stauder, Meredith M Regan, Wendy A Woodward

Faculty, Staff and Student Publications

Background: Susan G. Komen, the Inflammatory Breast Cancer (IBC) Research Foundation, and the Milburn Foundation convened patient advocates, clinicians, and researchers to propose novel quantitative scoring rubrics for IBC diagnosis. In this study, we developed a multi-institutional clinical dataset to test and validate the proposed scoring system.

Methods: IBC (N = 988) and non-IBC (N = 332) cases were identified at 2 institutions with dedicated multidisciplinary IBC programs. The non-IBC cohort included consecutive cT4b and cT4c patients. Standard operating procedures (SOPs) were developed for all ambiguous findings and languages. Three different methods were used for the imputation of missing data, …

Transcriptomic Analysis Of Localized High-Risk Prostate Cancer Improves Prognostication And Identifies Benefit From Adding Docetaxel To Definitive Radiotherapy With Androgen Suppression In The Nrg Oncology/Rtog 0521 Phase 3 Trial, Ryan M Phillips, James A Proudfoot, Elai Davicioni, Yang Liu, Daniel E Spratt, Jeff M Simko, Robert B Den, Alan Pollack, Seth A Rosenthal, A Oliver Sartor, Christopher J Sweeney, Gerhardt Attard, Leslie Longoria, Samir Patel, Michael W Straza, Jason A Efstathiou, Amit B Shah, Karen E Hoffman, Joseph P Rodgers, Howard M Sandler, Felix Y Feng, Phuoc T Tran

Faculty, Staff and Student Publications

Background and objective: NRG/RTOG 0521 randomized men with high-risk localized prostate cancer (PC) to androgen suppression (AS) and definitive radiotherapy (RT) ± docetaxel-based chemotherapy (CT). The overall survival (OS) benefit with CT initially reported was lost on longer follow-up. The Decipher genomic classifier (GC) measures multiple transcripts relevant to docetaxel action. Basal/luminal differentiation portends differential response to AS and CT for high-risk localized and metastatic hormone-sensitive PC. We validated the Decipher GC in pretreatment biopsy samples for risk stratification and examined basal-luminal subtyping to predict docetaxel response.

Methods: Decipher GC scores and basal-luminal cellular subtypes were generated for specimens from …

Inhibition Of Methylthioadenosine Phosphorylase Protects From Experimental Acute Kidney Injury, Afaf Saliba, Yidong Chen, Jonathan W Nelson, Abhinav Vetcha, Wei Wei Wang, Li Kang, Nagarjunachary Ragi, Soumya Maity, Hamid Rabb, W Brian Reeves, Kumar Sharma

Faculty, Staff and Student Publications

Methylthioadenosine phosphorylase (MTAP) is a key enzyme in purine metabolism that may influence cellular responses to injury. We evaluated the effects of prophylactic MTAP inhibition in mouse models of ischemia-reperfusion and cisplatin-induced acute kidney injury (AKI). MTAP inhibition was confirmed by accumulation of methylthioadenosine (MTA). Treated mice showed reduced renal injury and decreased tubular damage. Transcriptomic analysis revealed protection from inflammatory and stress pathways, while maintaining oxidative phosphorylation, fatty acid metabolism, and epithelial integrity-related genes. Analysis of human single-cell RNA-seq data from the Kidney Precision Medicine Project indicated that MTAP is highly expressed in kidney injury marker-positive adaptive proximal tubule …

Patient, Physician, And Assessor Blinding In Phase Iii Randomized Trials In Oncology: A Meta-Epidemiological Analysis, Gabrielle Brown, Pavlos Msaouel, Avital M Miller, Ramez Kouzy, Timothy A Lin, Joseph Abi Jaoude, Ethan B Ludmir, Alexander D Sherry

Faculty, Staff and Student Publications

Background: Blinding mitigates bias in randomized trials and may be especially crucial for surrogate endpoints, such as progression-free survival (PFS). Here, we characterize utilization of and factors associated with blinding in Phase III oncology trials with PFS primary endpoints.

Methods: Two-arm, superiority-design trials investigating systemic therapy were identified in May 2024 from ClinicalTrials.gov with no date limitation. Trials were required to have a PFS primary endpoint. The study outcomes were the presence of double-blind designs and blinded independent central review (BICR) for the primary endpoint. Ninety-five percent credible intervals for binary outcomes were estimated from beta distributions, and multivariable logistic …

Dynamic Long-Term Prediction With Intermediate Event Information: A Flexible Model With Bivariate Time-Varying Coefficients, Yunyi Wang, Wen Li, Ruosha Li, Jing Ning

Faculty, Staff and Student Publications

The integration of time-to-intermediate event data and the evolving characteristics of patients to enhance long-term prediction has garnered significant interest, driven by the wealth of data generated from longitudinal cohorts. In this paper, we propose sequential/dynamic prediction rules by using regression models with time-varying coefficients. We introduce a class of dynamic models that not only incorporates intermediate event information but also leverages information across different landmark times. To address the challenge of right-censoring, we employ an inverse weighting technique in the estimation process. We establish the asymptotic properties of the estimated parameters and conduct extensive simulations to assess the finite …

Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States, Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

Multiple myeloma (MM) is an aggressive hematologic malignancy arising from plasma cell (PC) proliferation in the bone marrow, progressing from its precursor states MGUS and SMM. Despite therapeutic advances, MM remains incurable, underscoring the need for better risk stratification and early detection. Tumor heterogeneity and dynamic immune microenvironment changes drive progression, yet bulk analyses overlook rare subpopulations critical to disease evolution and resistance. This study employed multiplexed targeted proteomics to characterize bone marrow aspirates (BMA) from 22 patients to observe the change in the distribution of PCs and tumor immune microenvironment (TiME) cells across MM disease states and controls. Bone …

Nature-Inspired Metaheuristics For Optimizing Dose-Finding And Computationally Challenging Clinical Trial Designs, Weng Kee Wong, Yevgen Ryeznik, Oleksandr Sverdlov, Ping-Yang Chen, Xinying Fang, Ray-Bing Chen, Shouhao Zhou, J Jack Lee

Faculty, Staff and Student Publications

Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial settings. We focus on nature-inspired metaheuristics and apply one of its exemplary algorithms, the particle swarm optimization (PSO) algorithm, to find phase I/II designs that jointly consider toxicity and efficacy. As a specific application, we demonstrate the utility of PSO in designing optimal dose-finding studies to estimate the optimal biological dose (OBD) for a continuation-ratio model with four parameters …

Optimization Of Mhealth Behavioral Interventions For Patients With Chronic Lymphocytic Leukemia: The Health4cll Study, Che Young Lee, Max J Gordon, Melissa M Markofski, Emily C Lavoy, Susan K Peterson, Liang Li, Sara Fares, Miranda Baum, Margaret Pace, Danielle Walsh, Alessandra Ferrajoli, Karen Basen-Engquist

Faculty, Staff and Student Publications

Purpose: This pilot study of a diet and physical activity intervention (HEALTH4CLL) was conducted to reduce fatigue and improve physical function (PF) in patients with chronic lymphocytic leukemia (CLL).

Methods: The HEALTH4CLL study used a randomized factorial design based on the multiphase optimization strategy (MOST). Patients received diet, exercise, and body weight management instructional materials plus a Fitbit and were randomized to undergo one of 16 combinations of 4 evidence-based mHealth intervention strategies over 16 weeks. Patients' fatigue, PF, health-related quality of life, behavior changes, and program satisfaction and retention were assessed. Paired t-tests were used to examine changes in …

Film Measurements Of Kilovoltage X-Ray Percentage Depth Doses For Different Energies And Field Sizes, Tze Yee Lim, Dershan Luo, Jamshid Moradi-Kurdestany, Xin Wang, Ramesh Tailor

Faculty, Staff and Student Publications

Objectives: Kilovoltage x-ray therapy, which includes superficial x-rays and orthovoltage x-rays, is particularly suited for treatments near the skin surface. Radiation dose deposition at depth is typically characterized by percentage depth dose (PDD) curves. However, PDD data are difficult to obtain in kilovoltage x-ray therapy, hence clinics often rely on British Journal of Radiology Supplement 25 (BJR-25) archival data. This study measured PDD for different energies and field sizes on the Xstrahl 300 kilovoltage x-ray therapy unit for comparison with BJR-25 data.

Methods: We irradiated EBT3 film in water using different energy and field size combinations, then, compared the acquired …