Digital Commons Network^™

A Phase 2 Trial Of Niraparib Plus Bevacizumab Maintenance Therapy Following First-Line Platinum-Based Chemotherapy With Bevacizumab In Advanced Ovarian Cancer: Final Analysis And Overall Survival Results From Ovario., Melissa M Hardesty, Thomas C Krivak, Gail S Wright, Erika Hamilton, Evelyn L Fleming, Jimmy Belotte, Shelby Gorman, Natalie Compton, Aine Clements, Heidi J Gray, Gottfried E Konecny, Richard G Moore, Debra L Richardson

Oncology Articles

OBJECTIVE: To report long-term outcomes from the OVARIO trial of niraparib plus bevacizumab maintenance following first-line platinum-based chemotherapy with bevacizumab in advanced ovarian cancer.

METHODS: The phase 2, single-arm, open-label trial enrolled adult patients with stage IIIB-IV epithelial ovarian, fallopian tube, or primary peritoneal cancer (NCT03326193). Patients were required to have attempted debulking surgery and have a complete or partial response or no evidence of disease following first-line, platinum-based chemotherapy with ≥3 cycles of bevacizumab. The primary endpoint was 18-month progression-free survival (PFS) rate, per RECIST. Secondary endpoints included PFS, overall survival (OS), safety, and health-related quality of life (HRQOL) …

Squeezing Information From Radio Surveys To Probe The Primordial Universe, Dionysios Karagiannis, Roy Maartens, Shun Saito, José Fonseca, Stefano Camera, Chris Clarkson

Physics Faculty Research & Creative Works

A major goal of cosmology is to understand the nature of the field(s) which drove primordial Inflation. Through future observations, the statistics of large-scale structure will allow us to probe primordial non-Gaussianity of the curvature perturbation at the end of Inflation. We show how a new correlation statistic can significantly improve these constraints over conventional methods. Next-generation radio telescope arrays are under construction which will map the density field of neutral hydrogen to high redshifts. These telescopes can operate as an interferometer, able to probe small scales, or as a collection of single dishes, combining signals to map the large …

Wearing The Keffiyeh: Solidarity, Resistance, Activism, Catherine Harper Ph.D, Tasnim Alahdal, Rawan Gamal Agha

Arts and Design

The Palestinian keffiyeh is a distinctly patterned black-and-white woven double-cloth, hand-stitched scarf, originally used by farmers of the region. It became a prominent symbol of Palestinian nationalism from mid-twentieth century. Adopted by Yasser Arafat in the 1960s, it became a masculinist icon of Palestine’s politics of resistance, extended by female Palestinian liberationist Leila Khaled’s hijabi-like use, and then mobilised by wider leftist, activist, even Israel-critical Jewish, protest groups in the West.

In recent years, keffiyeh-patterned scarves, accessories, even dresses and skirts – in a range of colours – have appeared periodically in Western fashion stores, on couture catwalks, and …

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 …

Inclusion, Diversity, Equity, And Access Annual Report, Fiscal Year 2025, April Anderson-Zorn, Emily Baldoni, Karmine Beecroft, Chad E. Buckley, Susan Franzen, Tom Hardy, Ellie Harman, Laura Killingsworth, Heather Koopmans, Maddi Loiselle, Joshua Newport, Ryan Peters, Seth Peterson, Lindsey Skaggs, Caitlin Stewart, Maria Tudela, Eric Willey, Angela Yon

Reports and White Papers - Milner Library

Report of Milner Library's activities and initiatives related to Inclusion, Diversity, Equity, and Access in Fiscal Year 2025. Compiled by the IDEA Committee.

Two Essays On Lottery-Like Stocks, Reihaneh Haghighi Zadeh

Theses and Dissertations in Business Administration

Essay 1: Momentum and Investors' Lottery-like Preference

Previous empirical studies have consistently shown that lottery-like stocks exhibit unconditionally low average returns due to investor overreaction to extreme short-term gains. However, the results show when the momentum strategy is jointly conditioned on stocks with high maximum daily returns (MAX), high-MAX stocks yield significantly higher future returns than their low-MAX counterparts. For value-weighted portfolios, a momentum strategy applied within the high-MAX category generates an average monthly return of 2.5%, compared to only 0.25% in the low-MAX category. This return premium exceeds that of the standard momentum strategy proposed by Jegadeesh and Titman …

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 …

Sex Differences In The Risk Of Developing Alzheimer Disease, Cognitive Trajectories, And Relationships Between Cognition And Pathological Burden, Carling G. Robinson

Arts & Sciences Graduate Student Theses and Dissertations

Prior work suggests females may develop Alzheimer disease (AD) dementia at a higher rate than males, and that this effect may interact with apolipoprotein (APOE) ε4 genotype. However, this work has often been limited by imprecise clinical diagnoses and a lack of AD biomarkers. In addition to the frequency of dementia, there are mixed reports on whether sex impacts rates of cognitive decline. Further, females consistently exhibit greater accumulation of AD pathological biomarkers, particularly tau, than males. It has been theorized that females initially demonstrate resilience to AD pathology, maintaining cognitive functioning longer than males, but experiencing a steeper cognitive …

Supporting Programmers Answering The Hard-To-Answer Questions Through The Use Of Large Language Models, Haixin Zhou

McKelvey School of Engineering Graduate Student Theses & Dissertations

Programmers often face hard-to-answer questions when working on large-scale projects. Not only during team collaborations, but also during interruptions such as meetings, having to suddenly work on another project, or even just taking a break are major reasons these questions arise, as programmers have to regain the context, knowledge, and mental state to resume the work. Traditional text editors such as GitHub do provide a built-in history system, but they lack historical context behind the editing to answer such questions.

To address this issue, we developed an experimental extension, Code History, on Visual Studio Code (VS Code) in the hope …

A Note On Psoloessa Texana And Achurum Sumichrasti (Orthoptera: Acrididae: Acridinae) From Louisiana, Jovonn G. Hill

Midsouth Entomologist

During a 2024 survey in Kisatchie National Forest, Louisiana, Psoloessa texana and Achurum sumichrasti were collected, representing new state records. No prior records of P. texana exist for Louisiana, and while A. sumichrasti has been observed and reported online, no specimens were previously documented. These findings extend the known range of P. texana by ~320 km and suggest a broader distribution for A. sumichrasti. Their presence in xeric savannas may reflect Pleistocene-era disjunctions. With these additions, Louisiana’s documented grasshopper fauna increases to 41 species.

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 …

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 …

Two Essays On The Role Of Anthropomorphism In Consumer Behavior, Faegheh (Faa) Taheran

Theses and Dissertations in Business Administration

The first essay of this dissertation investigates the contradictory findings on the relationship between anthropomorphism and self-control by focusing on how everyday anthropomorphized objects, rather than the products being used for consumption, influence consumer behavior. While previous studies have shown that using anthropomorphized products may decrease consumers’ self-control, this paper examines how unrelated [to consumption] anthropomorphized objects in a consumer’s environment—such as a water bottle with a humanlike face—can evoke a sense of social presence, increasing consumers’ perceptions that they are being negatively evaluated. Drawing on mind perception theory, I propose that this fear of negative evaluation can enhance self-control. …

Trophic Roles And Climate-Driven Vulnerability For Benthic Invertebrates At Artificial Reefs In The Northern Gulf Of Mexico, Amanda Kirkland

LSU New Orleans Theses and Dissertations

Artificial reefs are deployed to enhance marine habitats and fisheries, yet their role in supporting secondary production and their vulnerability to climate stressors remain understudied. This dissertation investigates the trophic ecology and climate sensitivity of benthic invertebrates at artificial reefs in the northern Gulf of Mexico. Chapter 1 assessed reef food webs using stable isotopes from fishes, invertebrates, and primary producers across six reefs and two seasons. Mixing models showed that most fishes rely on benthic reef carbon, while suspension feeders consume plankton and sediment microphytobenthos. Isotopic niche analysis revealed functional diversity and seasonal shifts in δ¹³C and δ³⁴S, though …

When Engagement Meets Distraction: The Effects Of Multitasking Types On Learning From Video Lectures, Zubeiru Mahama

Arts & Sciences Graduate Student Theses and Dissertations

Students often multitask with lecture-relevant (e.g., note-taking) and lecture-irrelevant (e.g., texting) secondary tasks during lectures and such behavior tends to be more common in asynchronous than synchronous settings. Two experiments investigated the combined and comparative effects of lecture-relevant and lecture-irrelevant secondary tasks on attention to and retention of a geology video lecture in a simulated asynchronous setting. Participants were randomly assigned to one of four conditions: lecture-only, lecture-relevant multitasking (i.e., taking notes during the lecture), lecture-irrelevant multitasking (i.e., completing a survey in Experiment 1 or instant messaging in Experiment 2 during the lecture), or hybrid multitasking (both note-taking and survey …

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, …

Accounting Hall Of Fame (Ahof) Committee Structure And Governance, August 2025, Accounting Hall Of Fame. Committee Structure And Governance

Accounting Hall of Fame Brochures

No abstract provided.

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 …

Fixing A 100-Year-Old Mistake, Michael J. Graetz

Faculty Scholarship

Posing the question of international tax cooperation versus competition reminds me of multiple-choice exams in which the right answer is “all of the above.” National interests determine which dominates at any given time. And in tax competition among nations, zero is not a lower bound.

In 1918, to encourage U.S. investments abroad, the United States enacted a credit for foreign taxes paid by U.S. companies and relinquished taxing rights to most foreign-source income. With the foreign tax credit, the United States assumed sole responsibility for reducing the double taxation of its residents and citizens. As the influential economist Edwin Seligman …

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, …

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 …

De-Escalating Local Therapies Without Compromising Outcomes: Lessons From The Collision Trial, Jessica Albuquerque, Noreen S Siddiqi, Van K Morris, Hop Tran Cao, Iwan Paolucci, Bruno C Odisio

Faculty, Staff and Student Publications

No abstract provided.

An Exploratory Study Of Therapeutic Relationships And Participant Retention In A Specialized Home Visiting Program, Danielle F. Chiang, Stephen S. Gardner, Emily Siedlik, Emma Sexton

Manuscripts, Articles, Book Chapters and Other Papers

Previous studies have shown the positive impacts that home-visiting programs have on children, parents, and families. Despite the record of success from home-visiting programs, there can be high rates of attrition in such programs, and researchers have explored the impact of a variety of socio-demographic factors to understand attrition in home-visiting programs and to drive improvements in the delivery of service. This exploratory study examines how various factors impact participant completion and retention in the TIES program, a home-visiting program based at Children’s Mercy Hospital in Kansas City, Missouri, that serves families impacted by substance use. Three hundred nineteen (N …

Indoor Air Quality Conditions And Respiratory Virus Detections In Elementary Schools—Kansas City, Missouri, February–March 2023, Olivia M. Almendares, Jasmine D. Ruffin, Luke Gard, Rangaraj Selvarangan, Anjana Sasidharan, Dithi Banerjee, Nibha Sagar, Amanda Hayes, Sydnie Petty, Brian R. Lee, Chris T. Young, Janelle Potter, Shannon Tilsworth, Jennifer Goldman, Jennifer E. Schuster, Hannah L. Kirking

Manuscripts, Articles, Book Chapters and Other Papers

Background/Objectives: Respiratory viruses circulate year-round and can spread indoors via inhalation of airborne particles. Effective ventilation and filtration may reduce transmission, particularly in school settings where children and staff spend significant time. This study examines the impact of indoor air quality (IAQ) and ventilation in schools on respiratory virus detection.

Methods: During February 27 to March 30, 2023, we assessed the relationship between IAQ and respiratory viruses in two Kansas City, Missouri, elementary schools by collecting bioaerosol samples, student and staff nasal swabs, and monitoring IAQ across 10 rooms (six classrooms, two common spaces, and two nurses’ offices). We calculated …