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2025

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Authenticity At Issue: Legislative Resistance To Gen Ai In Constituent Communication, Amy Mccoy Jan 2025

Authenticity At Issue: Legislative Resistance To Gen Ai In Constituent Communication, Amy Mccoy

Iowa Journal of Communication

As legislators manage a fast-paced environment including an increasing number of legislative proposals, this research examines their perceptions around and understanding of generative artificial intelligence (Gen AI) and its potential applications related to constituent communications. This study explores how technological shifts in legislative communication, examined through New Media and Constructivist lenses, are interpreted and experienced by lawmakers. Through a mixed-methods approach using survey and interviews, this research provides insights on the contradiction of using Gen AI for legislative efficiency with concerns of how it may impact perceptions of authenticity and affect democratic engagement.

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Assessing Residents' Water Knowledge, Communication Preferences, And Risk Perceptions: Insights For Practice And Future Communication, Ashleigh M. Day, Eric S. Cerino, Zoe Zidzik, Laura Umphrey Jan 2025

Assessing Residents' Water Knowledge, Communication Preferences, And Risk Perceptions: Insights For Practice And Future Communication, Ashleigh M. Day, Eric S. Cerino, Zoe Zidzik, Laura Umphrey

Iowa Journal of Communication

The purpose of this research was to better understand Flagstaff, Arizona (AZ) residents’ water knowledge, media uses, information sources, and water-related risk perceptions. After collecting survey responses from residents (n=476), results highlighted that most residents know their water supplier, but their risk perceptions varied as related to waterborne diseases and water scarcity. Particularly, participants felt more susceptible to water scarcity issues than waterborne diseases and felt that water scarcity was more severe than waterborne diseases. Further, when considering getting water-related information, many participants preferred receiving information via digital devices. Regarding social media use, participants held the strongest preference for receiving …

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Toxic Sweetness And Abstinence: The Citationality Of Robert Lustig's Anti-Sugar Rhetoric, Tyler J. Snelling Jan 2025

Toxic Sweetness And Abstinence: The Citationality Of Robert Lustig's Anti-Sugar Rhetoric, Tyler J. Snelling

Iowa Journal of Communication

Robert Lustig’s (2009) lecture on YouTube “Sugar: The Bitter Truth” animated a widespread conversation about whether sugar poisons bodies. Discourse following the lecture warrants analysis to gage how the meaning of the lecture transformed from a critique of food systems into individual actions. I argue that citationality of “Sugar: The Bitter Truth” fosters healthism by grounding sugar’s toxicity in scientific and affective reasoning that compels individual actions like abstinence from sugar. The pediatrician's lecture enabled the construction of a supposedly "moral eater" who removes sugar from consumption to avoid the poison's consequences. This paper offers tools for examining the spread …

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Remembering July 36th: A Semiotic Analysis Of The Student-People's Revolutionary Graffiti, Jordan D. Smith Jan 2025

Remembering July 36th: A Semiotic Analysis Of The Student-People's Revolutionary Graffiti, Jordan D. Smith

Iowa Journal of Communication

The use of graffiti as a tool for political solidarity has been universally documented in the academic lexicon. Using symbols of resilience, justice, disenfranchisement, and hope, graffiti is a unique phenomenon for visual rhetorical studies. The variety of artifacts spanning millennia document socio-political shifts, economic disparity, and messages of rebirth for systems in crisis. This study conducts a semiotic analysis of protest graffiti created during Bangladesh’s Student-People Uprising of July 2024 to explore how visual and linguistic signs construct messages of hope and solidarity. Using Ferdinand de Saussure’s (2021) semiotic framework, this research examines the symbolic and rhetorical elements present …

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Front Matter - Table Of Contents - Preface Jan 2025

Front Matter - Table Of Contents - Preface

Iowa Journal of Communication

No abstract provided.

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Teasing In Romantic Relationships: The Roles Of Attachment Dimensions, Relational Uncertainty, And Interpersonal Attraction, Nathan Miczo Jan 2025

Teasing In Romantic Relationships: The Roles Of Attachment Dimensions, Relational Uncertainty, And Interpersonal Attraction, Nathan Miczo

Iowa Journal of Communication

Drawing upon DiCioccio’s interactionist model of teasing, this study examined positive and negative teasing in romantic relationships, with relational uncertainty and interpersonal attraction as mediators. Participants completed measures of teasing, attachment, relational uncertainty, and interpersonal attraction. Affectionate teasing was positively predicted by anxious attachment, physical attraction, and social attraction, and negatively predicted by avoidant attachment. Social attraction mediated the relationship between anxiety and affectionate teasing, while physical attraction and social attraction were mediators between avoidance and affectionate teasing. There were no significant results for relational uncertainty as a predictor or for aggressive teasing as an outcome.

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Back Matter - Call For Submissions Jan 2025

Back Matter - Call For Submissions

Iowa Journal of Communication

No abstract provided.

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Fixation On Viruses: Eye-Tracking, Image-Based Agency, And Fear-Appeal Desensitization, Braden Bagley, Lijie Zhou, Hayden Coombs, Matthew Barton Jan 2025

Fixation On Viruses: Eye-Tracking, Image-Based Agency, And Fear-Appeal Desensitization, Braden Bagley, Lijie Zhou, Hayden Coombs, Matthew Barton

Iowa Journal of Communication

This study examined the effects of image-based assignment of agency (IAA) on COVID-19 and flu fear-appeals by employing eye-tracking technology. Volunteers participated in a 2x2x2 between-groups experiment. Fixation-count and fixation-duration were collected by a Tobii Pro X3-120 Screen-Based Eye-Tracker. After reviewing a fact sheet, participants answered a 29-item survey that included items aligning with the extended parallel process model. The flu/agentic-image/virus-agentic-language message produced significantly higher fixation-frequency to the image and a higher perception of severity than the COVID-19/real-image/human-agentic-language message. Fixation-frequency on the image produced significantly higher fear perceptions, but significantly lower message-quality and message-credibility perceptions. Flu messages led to significantly …

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Student Affairs Professionals' Sensemaking Following Student Disclosures Of Mental Health Concerns, Andrea L. Meluch, Alison Doehring, Maria Hannah Jan 2025

Student Affairs Professionals' Sensemaking Following Student Disclosures Of Mental Health Concerns, Andrea L. Meluch, Alison Doehring, Maria Hannah

Iowa Journal of Communication

Based on semi-structured interviews with 23 participants, this study explores how student affairs professionals in higher education make sense of the role-related and communication-related challenges that they face when students disclose mental health concerns. Study results indicated that participants construct their role as student affairs professionals as advocates and sources of support for students struggling with mental health. However, despite framing their role as “helpers” to students, participants noted that they must navigate mental health resources within and beyond their institution, manage constraints on their role, and grapple with external factors that inhibit students’ ability to receive mental health support. …

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Moldy Whoppers And Vitamin Donuts: Health Halos In Food Advertisements, Debbie Danowski Jan 2025

Moldy Whoppers And Vitamin Donuts: Health Halos In Food Advertisements, Debbie Danowski

Iowa Journal of Communication

Health Halos have been used in food advertisements since the late nineteenth and early twentieth centuries when the advent of mass-produced consumer goods took hold and manufactures began advertising their products. It wasn’t until nearly eight decades later, however, that theoretical framework specifically involving health halos was recognized in advertising research. Though subsequent research suggests the effectiveness of health halos in making unhealthy food appear healthier, there has been little, if any, attention given to identification of the health halos used in food advertising. This study aims to fill the gap by identifying two of the health halo techniques used …

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Lrtm Left-Right Transition Matrices For Molecular Interaction Prediction, Kaitlin Zheng, Guihua Duan, Mengyun Yang, Wei Wu, Yao-Hang Li, Jianxin Wang Jan 2025

Lrtm Left-Right Transition Matrices For Molecular Interaction Prediction, Kaitlin Zheng, Guihua Duan, Mengyun Yang, Wei Wu, Yao-Hang Li, Jianxin Wang

Computer Science Faculty Publications

Molecular interactions are central to most biological processes. The discovery and identification of potential associations between molecules can provide insights into biological exploration, diagnostic and therapeutic interventions, and drug development. So far many relevant computational methods have been proposed, but most of them are usually limited to specific domains and rely on complex preprocessing procedures, which restricts the models’ ability to be applied to other tasks. Therefore, it remains a challenge to explore a generalized approach to accurately predicting potential associations. In this study, We propose Left-Right Transition Matrices (LRTM) for molecular interaction prediction. From the perspective on the diffusion …

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The Invisible Influencer In Information Infrastructure, Herbert Van De Sompel, Michael L. Nelson Jan 2025

The Invisible Influencer In Information Infrastructure, Herbert Van De Sompel, Michael L. Nelson

Computer Science Faculty Publications

The UPS Prototype was a proof-of-concept web portal built in preparation for the Universal Preprint Service Meeting held in October 1999 in Santa Fe, New Mexico. The portal provided search functionality for a set of metadata records that had been aggregated from a range of repositories that hosted preprints, working papers, and technical reports. Every search result was overlaid with a dynamically generated menu, called an SFX-menu, that provided a selection of value-adding links for the described scholarly work. The meeting eventually led to the Open Archives Initiative and its Protocol for Metadata Harvesting (OAI-PMH), which remains widely used in …

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Sting: A Stealthy Backdoor Attack On Gnn-Based Malicious Domain Detection Via Dns Perturbations, Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, Nhathai Phan, Ahmad Sawalmeh Jan 2025

Sting: A Stealthy Backdoor Attack On Gnn-Based Malicious Domain Detection Via Dns Perturbations, Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, Nhathai Phan, Ahmad Sawalmeh

Computer Science Faculty Publications

Detecting malicious Internet domains is essential for safeguarding against various online threats. The current approach to detecting malicious domains (MDD) employs a graph neural network (GNN) method, which uses DNS logs to construct heterogeneous graphs for determining the maliciousness of unknown domains. Despite its success, this method is vulnerable to data poisoning attacks where an adversary can manipulate specific graph nodes to implant a backdoor into the model during training. To showcase the vulnerability, we propose a stealthy trigger injection attack on node features and graph structure in MDD, dubbed (STING). The attacker carefully manipulates selected features and edges of …

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Coldstartcpi: Induced-Fit Theory-Guided Dti Predictive Model With Improved Generalization Performance, Qichang Zhao, Haochen Zhao, Linyuan Gao, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang Jan 2025

Coldstartcpi: Induced-Fit Theory-Guided Dti Predictive Model With Improved Generalization Performance, Qichang Zhao, Haochen Zhao, Linyuan Gao, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Predicting compound-protein interactions (CPIs) plays a crucial role in drug discovery. Traditional methods, based on the key-lock theory and rigid docking, often fail with novel compounds and proteins due to their inability to account for molecular flexibility and the high sparsity of CPI data. Here, we introduce ColdstartCPI, a framework inspired by induced-fit theory, which leverages unsupervised pre-training features and a Transformer module to learn both compound and protein characteristics. ColdstartCPI treats proteins and compounds as flexible molecules during inference, aligning with biological insights. It outperforms state-of-the-art sequence-based models, particularly for unseen compounds and proteins, and shows strong generalization capability …

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Insights In Adaptation: Examining Self-Reflection Strategies Of Job Seekers With Visual Impairments In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok Jan 2025

Insights In Adaptation: Examining Self-Reflection Strategies Of Job Seekers With Visual Impairments In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Significant changes in the digital employment landscape, driven by rapid technological advancements and the COVID-19 pandemic, have introduced new opportunities for blind and visually impaired (BVI) individuals in developing countries like India. However, a significant portion of the BVI population in India remains unemployed despite extensive accessibility advancements and job search interventions. Therefore, we conducted semi-structured interviews with 20 BVI persons who were either pursuing or recently sought employment in the digital industry. Our findings reveal that despite gaining digital literacy and extensive training, BVI individuals struggle to meet industry requirements for fulfilling job openings. While they engage in self-reflection …

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Coming Back Differently: An Exploratory Case Study Of Near Death Experiences Of Webpages, Lesley Frew, Michael L. Nelson, Michele Weigle Jan 2025

Coming Back Differently: An Exploratory Case Study Of Near Death Experiences Of Webpages, Lesley Frew, Michael L. Nelson, Michele Weigle

Computer Science Faculty Publications

In this case study, we use web archives to analyze 8,824 webpages that were taken offline and subsequently put back online, thus experiencing a “near death experience.” We enumerate the stages of a webpage’s near death experience, including the change from a successful HTTP status code to non-successful and back, the intermediate stage with markers such as an under construction banner, and an analysis of how the pages came back differently.

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From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer Jan 2025

From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

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From Philosophy To Nlu: Evolving Definitions Of Research Hypotheses, Jian Wu, Sarah Rajtmajer Jan 2025

From Philosophy To Nlu: Evolving Definitions Of Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

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S²Il: Structurally Stable Incremental Learning, S. Balasubramanian, P. Yedu Krishna, Talasu Sai Sriram, M. Sai Subramaniam, Manepalli Pranav Phanindra Sai, Ravi Mukkamala Jan 2025

S²Il: Structurally Stable Incremental Learning, S. Balasubramanian, P. Yedu Krishna, Talasu Sai Sriram, M. Sai Subramaniam, Manepalli Pranav Phanindra Sai, Ravi Mukkamala

Computer Science Faculty Publications

Feature Distillation (FD) strategies are proven to be effective in mitigating Catastrophic Forgetting (CF) seen in Class Incremental Learning (CIL). However, current FD approaches enforce strict alignment of feature magnitudes and directions across incremental steps, limiting the model’s ability to adapt to new knowledge. In this paper, we propose Structurally Stable Incremental Learning (S²IL), a FD method for CIL that mitigates forgetting by focusing on preserving the overall spatial patterns of features which promote flexible (plasticity) yet stable representations that preserve old knowledge (stability). We also demonstrate that our proposed method S²IL achieves strong incremental accuracy and outperforms other FD …

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Humans Vs. Llms On Open Domain Scientific Claim Verification: A Baseline Study, Benjamin Curtis, Stefania Dzhaman, Matthew Maisonave, Jian Wu Jan 2025

Humans Vs. Llms On Open Domain Scientific Claim Verification: A Baseline Study, Benjamin Curtis, Stefania Dzhaman, Matthew Maisonave, Jian Wu

Computer Science Faculty Publications

Verifying scientific claims is challenging for the general public because most people lack domain knowledge. Manual verification by subject domain experts is accurate, but it is obviously not scalable to meet the rising number of scientific claims on the Web. Whether the emerging large language models and large reasoning models can be used for scientific claim verification, and how their performances compare to humans, are still research questions. To this end, we developed a new benchmark MSVEC2 that consists of 138 claims from credible fact verification websites and science news outlets. Two tasks were given to both human and LLM …

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Privshap: A Finer-Granularity Network Linearization Method For Private Inference, Xiangrui Xu, Zhenzhen Wang, Rui Ning, Chunsheng Xiu, Hongyi Wu Jan 2025

Privshap: A Finer-Granularity Network Linearization Method For Private Inference, Xiangrui Xu, Zhenzhen Wang, Rui Ning, Chunsheng Xiu, Hongyi Wu

Computer Science Faculty Publications

Private inference applies cryptographic techniques like homomorphic encryption, garble circuit and secret sharing to keep both sides privacy in a client-server setting during inference. It is often hindered by the high communication overheads, especially at non-linear activation layers such as ReLU. Hence ReLU pruning has been widely recognized as an efficient way to accelerate private inference. Existing approaches to ReLU pruning typically rely on coarse hypothesis, which assume an inverse correlation between the importance of ReLU and linear layers or shallow activation layers have less importance for universal models, to assign the budgets according to the layer while preserving the …

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From Ambiguity To Accountability: The Case For A Legal Definition Of Antisemitism In Academia, Andrea Martin Jan 2025

From Ambiguity To Accountability: The Case For A Legal Definition Of Antisemitism In Academia, Andrea Martin

Faculty Scholarship

Following the October 7, 2023, Hamas attacks on Israel, U.S. college campuses experienced a sharp rise in antisemitic incidents, driven by an antizionism movement aimed at demonizing and delegitimizing the Jewish state and its supporters. A congressional investigation found that antisemitism persisted at prominent universities because administrators repeatedly failed to denounce antizionist conduct that functions as a vehicle for harassment of Jewish students and neglected to enforce their own nondiscrimination policies. The congressional committee, as well as several university antisemitism task forces, identified antizionism as a primary driver of campus antisemitism and strongly recommended that university leaders recognize and address …

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Engineering Extracellular Vesicles (Evs) To Combat Infection And Inflammation In Cystic Fibrosis, Sharanya Sarkar Jan 2025

Engineering Extracellular Vesicles (Evs) To Combat Infection And Inflammation In Cystic Fibrosis, Sharanya Sarkar

Dartmouth College Ph.D Dissertations

Cystic Fibrosis (CF) is a multisystemic genetic disorder caused by mutations in the CFTR gene, resulting in chronic pulmonary infections, hyperinflammation, and progressive lung damage. Among the pathogens that colonize CF lungs, Pseudomonas aeruginosa (P. aeruginosa) is predominant, infecting over 50% of adults with CF and developing antibiotic resistance over time. Current modulator therapies fail to address persistent bacterial infections, chronic inflammation, or irreversible lung damage, underscoring the need for novel therapeutic strategies. In our previous in vitro studies, we demonstrated that extracellular vesicles (EVs) secreted by primary Human Bronchial Epithelial Cells (HBECs) inhibit P. aeruginosa growth by reducing the …

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Beyond Diagnostic Thresholds: Measures Of The Maternal Cardiometabolic Health Continuum And Their Association With Placental Function, Elizabeth Cook Anderson Jan 2025

Beyond Diagnostic Thresholds: Measures Of The Maternal Cardiometabolic Health Continuum And Their Association With Placental Function, Elizabeth Cook Anderson

Dartmouth College Ph.D Dissertations

Diabetes and hypertension during pregnancy adversely impact maternal and offspring health. Altered placental function is hypothesized to be involved, but impacts of elevated glucose and blood pressure (BP) within the subclinical range are unknown. The objective of this thesis is to evaluate how elevated glucose and BP, above and below diagnostic thresholds, impact measures of placental development and function including gross morphology (Aim 1), histopathology (Aim 2), and maternal circulating miRNAs (Aim 3), many of which originate in the placenta. Gross morphology and histopathology data from the New Hampshire Birth Cohort Study were used for Aims 1 and 2, and …

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Integrated Roadside Vegetation Management Technical Manual [2025], Kristine Nemec, Josh Brandt, Kirk Henderson, Jim Uthe Jan 2025

Integrated Roadside Vegetation Management Technical Manual [2025], Kristine Nemec, Josh Brandt, Kirk Henderson, Jim Uthe

Faculty Book Gallery

The objective of this publication is to provide basic technical support for new and existing Iowa county roadside programs. This manual is also intended to provide guidance to policymakers and engineers interested in adopting or expanding integrated roadside vegetation management in county rights-of-way.

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Original Discontent, William Magnuson Jan 2025

Original Discontent, William Magnuson

Vanderbilt Law Review

There are many theories of constitutional interpretation. Most, but not all, assert that, in interpreting the U.S. Constitution’s provisions, we should start by taking seriously the intentions of the enactors, meaning, roughly speaking, its drafters, defenders, and ratifiers. This Article argues that, in doing so, judges, scholars, and policymakers have underestimated an important feature of the process of constitution-making: the discontent of the enactors themselves with the Constitution they were enacting. Time and again, during the Philadelphia Convention of 1787, during the penning of the Federalist Papers, and during the state ratifying conventions, the enactors expressed deep reservations about the …

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Final Horseshoe Bend Effluent Line (Hbel) Discharge Structure Surface Enhancements Work Plan, Pioneer Technical Services, Inc. Jan 2025

Final Horseshoe Bend Effluent Line (Hbel) Discharge Structure Surface Enhancements Work Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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An Analytical Review Of Preprocessing Techniques In Bengali Natural Language Processing, Sovon Chakraborty, Protiva Das, Shakib Mahmud Dipto, Md Aktaruzzaman Pramanik, Jannatun Noor Jan 2025

An Analytical Review Of Preprocessing Techniques In Bengali Natural Language Processing, Sovon Chakraborty, Protiva Das, Shakib Mahmud Dipto, Md Aktaruzzaman Pramanik, Jannatun Noor

Computer Science Faculty Publications

Research in Bengali Natural Language Processing (BNLP) is rapidly expanding. Despite being one of the most widely spoken languages in the world, BNLP research remains insufficient, particularly in Bengali speech recognition. The languages rich morphology, agglutinative structure, and diverse dialects make text and speech processing especially challenging. However, these challenges can be addressed with effective preprocessing techniques. Various organizations in Bangladesh and West Bengal are integrating Natural Language Processing (NLP) into their services, but without a thorough understanding of preprocessing, these implementations remain incomplete. Applying proper preprocessing techniques to the Bengali language will serve as a foundation for developing robust …

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Position: Benchmarking Is Broken - Don't Let Ai Be Its Own Judge, Zerui Cheng, Stella Wohnig, Ruchika Gupta, Samiul Alam, Tassallah Abdullahi, João Alves Ribeiro, Christian Nielsen-Garcia, Saif Mir, Siran Li, Jason Orender, Seyed Ali Bahrainian, Daniel Kirste, Aaron Gokaslan, Carsten Eickhoff, Pramod Viswanath, Ruben Wolff Jan 2025

Position: Benchmarking Is Broken - Don't Let Ai Be Its Own Judge, Zerui Cheng, Stella Wohnig, Ruchika Gupta, Samiul Alam, Tassallah Abdullahi, João Alves Ribeiro, Christian Nielsen-Garcia, Saif Mir, Siran Li, Jason Orender, Seyed Ali Bahrainian, Daniel Kirste, Aaron Gokaslan, Carsten Eickhoff, Pramod Viswanath, Ruben Wolff

Computer Science Faculty Publications

The meteoric rise of Artificial Intelligence (AI), with its rapidly expanding market capitalization, presents both transformative opportunities and critical challenges. Chief among these is the urgent need for a new, unified paradigm for trustworthy evaluation, as current benchmarks increasingly reveal critical vulnerabilities. Issues like data contamination and selective reporting by model developers fuel hype, while inadequate data quality control can lead to biased evaluations that, even if unintentionally, may favor specific approaches. As a flood of participants enters the AI space, this "Wild West" of assessment makes distinguishing genuine progress from exaggerated claims exceptionally difficult. Such ambiguity blurs scientific signals …

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Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun Jan 2025

Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun

Computer Science Faculty Publications

Triple-negative breast cancer (TNBC) requires detailed cellular mapping given its aggressive nature, immense tumor heterogeneity and genetic diversity. We integrated 156,794 cells from six scRNA-seq datasets—including tumors, metastases, and cell lines—to build a TNBC scRNA cell atlas, focusing on batch effect mitigation while maintaining biological and molecular details. Preprocessing f ilters noise, normalizes data, and leverages PCA for integration readiness. We utilized scANVI, a semi-supervised tool, to align datasets, preserving TNBC’s complex tumor heterogeneity via marker annotations [1]. UMAPs demonstrate biological clustering in integrated data, contrasted with datasetdriven unintegrated patterns. Assessments verifying effective batch correction. This method aligns with NASA’s …

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