Digital Commons Network^™

Genwriter: Reducing Gender Cues In Biographies Through Text Rewriting, Shweta Soundararajan, Sarah Jane Delany

Conference papers

Gendered language is the use of words that indicate an individual’s gender. Though useful in certain context, it can reinforce gender stereotypes and introduce bias, particularly in machine learning models used for tasks like occupation classification. When textual content such as biographies contains gender cues, it can influence model predictions, leading to unfair outcomes such as reduced hiring opportunities for women. To address this issue, we propose GenWriter, an approach that integrates Case-Based Reasoning (CBR) with Large Language Models (LLMs) to rewrite biographies in a way that obfuscates gender while preserving semantic content. We evaluate GenWriter by measuring gender bias …

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 …

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 …

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 …

Differential Quadri-Partitioned Neutrosophic Interval-Valued Polynomial Attention-Based Deep Cnn For Brain Tumor Detection, Panimalar A, Aarthi D, Santhosh Kumar S, Sanjayprabu S

Neutrosophic Sets and Systems

No abstract provided.

Indeterminate And Hierarchical Modeling Of Instructional Effectiveness In University Chinese Language And Literature: A Python-Based Approach, Dalun Zhu, Yongfo Xiong, Qun Xia

Neutrosophic Sets and Systems

No abstract provided.

Decomposition Of Neutrosophic Fuzzy Matrices Using Some Alpha – Cuts, C. Devi Shyamala Mary, C. Kayelvizhi, Shriram Kalathian, P. Tharaniya, M. Anandhkumar, S. M. Chithra

Neutrosophic Sets and Systems

No abstract provided.

A Robust Approach To Possibility Single-Valued Neutrosophic Dombi-Weighted Aggregation Operators For Multiple Attribute Decision-Making, Yousef Al-Qudah, Ayman. A. Hazaymeh, Faisal Al-Sharqi, Mamika Ujianita Romdhini, Sarah Jawad Shoja

Neutrosophic Sets and Systems

No abstract provided.

Refined Neutrosophic Rings For Quality Evaluation Of Visualization Modeling System For Crop Growth In Agriculture And Forestry Based On Virtual Simulation Technology, Ning Wei, Jing Gan, Shouju Wei, Yuzhe Liang, Ruiyang Pan, Yanming Pan

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Graph Theory For Evaluation Of High-Quality Party Building In Driving The High-Quality Development Of Universities, Ning Xiang

Neutrosophic Sets and Systems

No abstract provided.

Mv3lung-Ns: A Neutrosophic-Deep Learning Hybrid Framework For Computer-Aided Diagnosis Of Chest X-Ray Scans, Abdelrhman Fathy Abdelrhman, Ahmed R. Abas

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 86,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Developing Targets To Control Multiple Pest Fly Species: Violet Polyester Targets Effectively Attract Tsetse (Diptera: Glossinidae), Stable Flies (Diptera: Muscidae), And House Flies (Diptera: Muscidae), Michael N. Okal, Sheillah J. Akinyi, Roger D. Santer

All Peer-Reviewed Publications

Tsetse (Glossina spp.), stable (Stomoxys spp.), and house flies (Musca domestica L.) impact humans and animals through bites and/or disease transmission. Tsetse are controlled using insecticide-coated fabric targets that are traditionally blue and/or black, but a violet polyester has now been engineered for greater attractiveness. Here, we investigate whether violet targets are also effective against stable and house flies. We sampled flies by electrocution at 1.0 (H) × 0.5 m (W) targets in Kenya, comparing catches at violet targets, and blue and black targets made from polyesters used in commercial traps and targets. Catches of female but not male Glossina …

Evaluating The Impact Of Activated Carbon On The Biodegradation Of Btex Compounds, Megan Barkley

All Theses

BTEX compounds—benzene, toluene, ethylbenzene and xylenes—are toxic, volatile, aromatic hydrocarbons. They are primarily found in petroleum products and can easily enter the environment. Typical remediation techniques include sorption to activated carbon, pump and treat, and bioremediation. Research suggests that combining sorption to activated carbon and bioremediation may enhance BTEX removal. This study evaluates the impact of granular activated carbon (GAC) on the biodegradation of ethylbenzene and toluene, using an enrichment culture of aerobic bacteria.

The main objectives of this study are to grow and maintain a culture that degrades BTEX compounds, evaluate the effect of activated carbon on the biodegradation …

Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang

Research Collection Yong Pung How School Of Law

Trust in healthcare AI currently over-relies on system design, not lived medical realities.Continuous feedback loops are necessary to embed trust in healthcare AI that is responsive to clinician and patient needs.Initiatives in South-East Asia show how trust in technology can be extended from policy to practice.

I See Sick People: Beliefs About Sensory Detection Of Infectious Disease Are Largely Consistent Across Cultures, Joshua M. Ackerman, Theodore Samore, Daniel M. T. Fessler, Norman P. Li, Et Al

Research Collection School of Social Sciences

Identifying cues to contagious disease is critical for effectively tracking and defending against interpersonal infection threats. People hold lay beliefs about the types of sensory information most relevant for identifying whether others are sick with transmissible illnesses. Are these beliefs universal, or do they vary along cultural and ecological dimensions? Participants in 58 countries (N = 19,217) judged how effective, and how likely they were to use, cues involving each of the five major sensory modalities in an imagined social interaction during a flu outbreak. Belief patterns were strongly consistent across countries (sight > audition > touch > smell > taste), suggesting a largely …

Axicons For Improved Resolution And Depth Of Focus In Adaptive Optics Scanning Light Ophthalmoscopy, Ruth E. Woehlke, Robert F. Cooper

Biomedical Engineering Faculty Research and Publications

Adaptive optics scanning light ophthalmoscopes are instrumental for studying the eye, yet they use truncated Gaussian illumination and are limited by diffraction, restricting resolution and depth of focus (DOF). Non-diffractive Bessel beams have emerged as an alternative. Here, we use two axicons configured as: (1) an extended DOF beam for resolving multiple retinal layers; and (2) an annular beam for increasing lateral resolution. We compare both approaches to truncated Gaussian illumination using a variety of metrics. Using Configuration 1, we successfully observed multiple retinal layers simultaneously. Using Configuration 2, we observed enhanced lateral resolution but decreased signal-to-noise ratio.

An Injectable, Dual-Curing Hydrogel For Controlled Bioactive Release In Regenerative Endodontics, Meisam Omidi, Daniela S. Masson-Meyers, Jeffrey M. Toth

Biomedical Engineering Faculty Research and Publications

Regenerative endodontics seeks to restore the vascularized pulp–dentin complex following conventional root canal therapy, yet reliable neovascularization within the constrained root canal remains a key challenge. This study investigates the development of an injectable, dual-curing hydrogel based on methacrylated decellularized amniotic membrane (dAM-MA) and compares its performance to a conventional gelatin methacryloyl (GelMA). The dAM-MA platform was designed for biphasic release, incorporating both free vascular endothelial growth factor (VEGF) for an initial burst and matrix-metalloproteinase-cleavable VEGF conjugates for sustained delivery. The dAM-MA hydrogel achieved shape-fidelity via thermal gelation at 37 °C and possessed tunable stiffness (0.5–7.8 kPa) after visible-light irradiation. …

Anisotropic Object-Based Shifts Of Attention Arise From Unequal Influences Of Visual Field Meridians On Neural Attention Gradients, David H. Hughes, Adam J. Barnas, Adam S. Greenberg

Biomedical Engineering Faculty Research and Publications

Object-based attention prioritizes the processing of information appearing within a selected object. We previously showed an object-based shift direction anisotropy (SDA) whereby horizontal shifts are more efficient than vertical shifts (Barnas AJ, Greenberg AS. Atten Percept Psychophys 78: 1985–1997, 2016; Barnas AJ, Greenberg AS. Vis Cogn 27: 768–791, 2019), an effect modulated by the visual field meridians (Barnas AJ, Greenberg AS. Q J Exp Psychol (Hove) 77: 2516–2532, 2024). Our present aim was to understand how the functional brain mechanisms of attention give rise to the SDA. We hypothesized that the SDA arises from attentional resources being partitioned differently by …

Decision-Making Methods Under Uncertainty In Discrete Multi-Objective Optimization, Chathuri Malee Aththanayake

Masters Theses and Doctoral Dissertations

This dissertation investigates decision-making methods in Uncertain Discrete Multi-objective Optimization Problems (UDMOPs), where uncertainty arises in both objective function and constraint coefficients. The study pursues three main goals: (1) constructing sensitivity regions in the objective space to handle objective-wise uncertainty, (2) constructing sensitivity regions in the decision space to handle feasibility uncertainties, and (3) developing methods to sort, group, and prune uncertain solutions based on their similarity. Each goal proposes a method to explore uncertain solutions and quantify their level of uncertainty. Based on this, solutions are classified as low and high-risk solutions, according to the Decision-Maker (DM)'s preferences and …

Building A Sustainable Home On The Central Coast: An Owner’S Perspective, Austin Chase Anderson

Construction Management

As awareness and technology increase, sustainability as a focus in home construction is also increasing. This case study based research project seeks to understand the process of building a home on California’s Central Coast with sustainability in mind. An interview was conducted with an owner who built their home in Templeton in 2019. The interview was in a semi-structured format which included specific qualitative questions but mostly focused on an open-ended discussion which allowed the owner to share their own experience. The key challenges learned from this interview were that the owner believed price to be the main factor that …

Challenges And Artificial Intelligence Solutions For Clinically Optimal Hepatic Venous Vessel Segmentation, Håvard Bjørke Jenssen, Varatharajan Nainamalai, Egidijus Pelanis, Rahul P. Kumar, Andreas Abildgaard, Finn Kristian Kolrud, Bjørn Edwin, Jingfeng Jiang, Joseph Vettukattil, Ole Jakob Elle, Smund Avdem Fretland

Michigan Tech Publications

Background:: Liver vessel identification is crucial for clinical disease assessment and treatment planning, especially concerning local treatment of liver tumors. As artificial intelligence (AI) develops in radiology, opportunities arise to craft models adept at hepatic venous vessel segmentation, opening possibilities for creating patient-specific models of the liver anatomy quickly, despite the diverse features of CT images encountered in clinical settings. Objective: This research evaluates the performance of AI models combined with various pre-processing filters for liver vessel segmentation, emphasizing clinically relevant results. A novel evaluation method was introduced to offer more anatomically accurate assessments, moving beyond traditional metrics like the …

Work Impairment And Financial Outcomes Among Adults With Vs Without Long Covid, Michael Gottlieb, Ji Chen, Huihui Yu, Michelle Santangelo, Erica S. Spatz, Nicole L. Gentile, Rachel E. Geyer, Caitlin Malicki, Kristyn Gatling, Kelli N. O'Laughlin, Kari A. Stephens, Joann G. Elmore, Lauren E. Wisk, Michelle L'Hommedieu, Robert Rodriguez, Juan Carlos C. Montoy, Ralph C. Wang, Kristin L. Rising, Efrat Kean, Jonathan W. Dyal, Mandy J. Hill, Arjun K. Venkatesh, Robert A. Weinstein

Department of Emergency Medicine Faculty Papers

IMPORTANCE: While much of the focus on long COVID (LC; defined as developing new, persistent symptoms lasting 3 months or longer after SARS-CoV-2 infection) has been on health status and quality of life, the impact on individual work productivity and financial distress are less well established.

OBJECTIVES: To assess differences in work and financial outcomes among individuals with current, resolved, and no LC up to 3 years after initial infection.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, multisite, longitudinal cohort study enrolled adult participants (age ≥18 years) with at least 1 reported SARS-CoV-2 infection from December 7, 2020, to August 29, …

Copyright Laundering Through The Ai Ouroboros: Adapting The 'Fruit Of The Poisonous Tree' Doctrine To Recursive Ai Training, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Copyright enforcement rests on an evidentiary bargain: a plaintiff must show both the defendant's access to the work and substantial similarity in the challenged output. That bargain comes under strain when AI systems are trained through multi-generational pipelines with recursive synthetic data. As each successive model is tuned on the outputs of its predecessors, any copyrighted material absorbed by an early model is further diffused into deeper statistical abstractions. The result is an evidentiary blind spot where overlaps that emerge look coincidental, while the chain of provenance is too attenuated to trace.These conditions are ripe for "copyright laundering"—the use of …

Debunking Myths: Preparing Black Students Who Are Accelerated Learners For Postsecondary Opportunities, Erik M. Hines, Donna Y. Ford, Renae D. Mayes, Tanya J. Middleton, James L. Moore Iii, Desmond Mcglone

Journal of College Access

Black students are the most underrepresented in Gifted and Talented Education (GATE), Advanced Placement (AP), honors, dual enrollment (DE), and other programs for advanced learners (Ford, 2011, 2013; Hines, 2024; Hines, Fletcher et al., 2022). However, accelerated learners, particularly Black students, are usually seen as individuals who understand their educational trajectory, are more likely to know where they plan to attend college, and quickly know their career choice (Smith & Wood, 2020). Accelerated learners are students who are engaged in advanced coursework or programs such as Gifted and Talented Education (GATE), Advanced Placement (AP), honors, dual enrollment (DE). In this …

Pseudo-Soft-Switching Switched-Capacitor Drive Circuits For Small-Scale Dielectric Actuators, Yanqiao Li

Dartmouth College Ph.D Dissertations

Applications including micro-robotics and haptics have motivated extensive exploration of dielectric actuators due to their high bandwidth and high efficiency at cm and mm scales. To maximize their benefits, dielectric actuators, including piezoelectric and electrostatic actuators, typically require high driving voltages, ranging from 100V to several kV. Generating such high driving voltages presents a challenge for drive circuits, particularly when powered by a small battery. Dielectric actuators are predominantly capacitive in most circumstances, necessitating the drive circuits to deliver and recover reactive energy for efficient operation. In some applications, such as micro-robotics, the drive circuits may need to have a …

The Scintillator Surface Detector Of The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, A. Almela, B. Fick, K. Nguyen, D. Nitz, Et Al.

Michigan Tech Publications

Data collected so far by the Pierre Auger Observatory have enabled major advances in ultrahigh energy cosmic ray physics and demonstrated that improved determination of masses of primary cosmic-ray particles, preferably on an event-by-event basis, is necessary for understanding their origin and nature. Improvement in primary mass measurements was the main motivation for the upgrade of the Pierre Auger Observatory, called AugerPrime. As part of this upgrade, scintillator detectors are added to the existing water-Cherenkov surface detector stations. By making use of the differences in detector response to the electromagnetic particles and muons between scintillator and water-Cherenkov detectors, the electromagnetic …

Executive Committee - Minutes, 08/01/2025, Academic Senate

Academic Senate Minutes

No abstract provided.

Not All Political Ties Are The Same: Firms' Ties To The Government And Pollution, Wen Helena Li, Ilya R. P. Cuypers, Gokhan Ertug, Hari Bapuji, Wei Liu

Research Collection Lee Kong Chian School Of Business

Complementing research on the implications of political ties for firms’ strategic decisions and financial performance, recent studies are increasingly focusing on the environmental consequences of firms’ political connections. We contribute to this stream of work by integrating insights from the literature on political ties and the multifaceted nature of governments to explore how the level of government influences the pollution implications of firms’ political ties. Specifically, we theorize and demonstrate that, in China, firms' achieved political ties with high levels of the government reduce pollution, while such ties with low levels of the government increase it. Furthermore, we examine how …

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 …