Digital Commons Network^™

Tempus Est Philippine Madrigal Singers, Arwin Q. Tan

Perspectives in the Arts and Humanities Asia

No abstract provided.

Provider And Patient Perspectives On The Diagnosis And Treatment Of Alzheimer's Disease, Philippe Amouyel, Sandrine Andrieu, Angela Bradshaw, Ralph C. Carmona, Magali Dumont, Lea Tenenholz Grinberg, Takeshi Iwatsubo, Oskar Hansson, Clifford R. Jack, Gregory A. Jicha, Simin Mahinrad, Eric Mcdade, Catherine J. Mummery, Ronald C. Petersen, Shelagh Robinson, Julie A. Schneider, Lenny Shellcross, Amanda G. Smith, Heather M. Snyder, Beth Tapply, Charlotte Teunissen, Wiesje M. Van Der Flier, Bruno Vellas, David Wallon, Jeff D. Williamson, Donna Wilcock, Maria C. Carrillo

Neurology Faculty Publications

Since 2016, the Alzheimer's Association and the Fondation Alzheimer have hosted Global Alzheimer's Leadership Series (GoALS) global think tanks, with world-leading experts for innovative discussions to advance Alzheimer's disease (AD) research and care. The second GoALS think tank, held in June 2024 in Paris, focused on the relationship between biological changes and clinical manifestations of AD in the context of the evolving therapeutic landscape. Discussions spanned real-world experiences of providers, patients, and their families, theoretical considerations, and health system challenges. The lived experience perspective was central to these discussions. The importance of shared decision-making, clear and transparent communication, and the …

Frequency Of Mixed Neuropathologies In Individuals With Down Syndrome With And Without Alzheimer's Dementia, Lisi Flores-Aguilar, Thomas D. Zaikos, Isabel Rivera, Sierra T. Wright, Jerry Lou, Brianna Gawronski, Lourdes Gonzalez, Jillian V. Berry, Jeremy Rouanet, Natalie C. Edwards, Dan K. Hoang, Kevin Wood, Ann Charlotte Granholm, Elliott J. Mufson, Edwin S. Monuki, Milos D. Ikonomovic, Julia Kofler, Eric W. Doran, Ira T. Lott, Minodora O. Totoiu, Christy L. Hom, Florence Lai, William H. Yong, Frederick Schmitt, Jordan Harp, Peter T. Nelson, Jose Gutierrez, Patrick J. Lao, Donna Wilcock, Adam M. Brickman, Elizabeth Head

Neurology Faculty Publications

Individuals with Down syndrome (DS) develop Alzheimer's disease neuropathological change (ADNC) by the age of 40 years, and most develop dementia by their early 50s. The frequency of co-pathologies in clinically and neuropathologically characterized adults with DS has not been systematically characterized. We characterized the frequency of ADNC and common co-pathologies, including cerebral amyloid angiopathy (CAA), Lewy pathology (LP), limbic predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC), hippocampal sclerosis (HS), and other cerebrovascular and macroscopic findings reported in standardized National Alzheimer’s Coordinating Center (NACC) neuropathology forms in 63 adults with DS over 40 years. A secondary exploratory objective was to …

Neuropathological Measures Of Increased Tau Phosphorylation Across The Down Syndrome Lifespan, Jesse R. Pascual, Isabel Rivera, Halyma Nguyen, Phong T. Ngo, Alan Hoang, Elizabeth J. Andrews, Jeremy Rouanet, Sierra T. Wright, Lorena Sordo, Julia Kofler, Milos D. Ikonomovic, Florence Lai, Mark Mapstone, Bradley T. Christian, Benjamin L. Handen, Ira T. Lott, Eric Doran, Christy L. Hom, Jordan Harp, Frederick Schmitt, Dana L. Tudorascu, Beau M. Ances, Michael Phelan, Lei Liu, Lisi Flores-Aguilar, Elizabeth Head, Fan Zhang, Shahid Zaman, Michael A. Yassa, Badri Varadarajan, Rameshwari Tumuluru

Neurology Faculty Publications

Individuals with Down syndrome (DS) have an increased risk of developing Alzheimer disease (AD), with nearly all individuals exhibiting AD neuropathology, including amyloid beta (Aβ) plaques and neurofibrillary tangles (NFT), by age 40 years. Fluid AD biomarker studies highlight an increase in several phosphorylated tau (p-tau) epitopes in DS. However, neuropathological measures of p-tau epitopes in DS have not been examined. Therefore, our main objective was to characterize p-tau epitope burdens across the DS lifespan at autopsy. We analyzed postmortem brain samples of 98 individuals with late-onset AD (LOAD), DS with AD neuropathology (DSAD), young DS (below 40 years of …

Integrating Science Of Reading Principles Into Mathematics Instruction In Early Education, Sarah Eason

Science of Reading

Educator preparation programs have an opportunity to help future teachers understand how literacy and mathematics domains support one another. Language and literacy are foundational to mathematical thinking, communication, and problem solving. Integrating science of reading (SOR) principles into mathematics instruction can strengthen children’s learning across domains while helping educators maximize instructional time. This brief reviews research connecting language and mathematics learning and highlights practical strategies for incorporating SOR-aligned practices into early childhood mathematics instruction and teacher preparation.

Light & Faith: June 2026, Taylor University

Light & Faith

No abstract provided.

Letter From The Mcte President, Sara Hoeve

Language Arts Journal of Michigan

No abstract provided.

Letter From The Mcte Vice President, Kel Sassi

Language Arts Journal of Michigan

No abstract provided.

Janet Neyer: Ray H. Lawson Award Recipient

Language Arts Journal of Michigan

No abstract provided.

Shivon Franklin: Middle School English Teacher Of The Year Award Recipient

Language Arts Journal of Michigan

No abstract provided.

Letter From The Guest Editor, Ayah Issa

Language Arts Journal of Michigan

No abstract provided.

Events

Language Arts Journal of Michigan

No abstract provided.

Bridgette Jastrzebski: Elementary English Teacher Of The Year Award Recipient

Language Arts Journal of Michigan

No abstract provided.

Learning About Land Through Indigenous Storywork, Critical Information Literacy, And Archival Research At The Northern Shores Storywork Project Site, Kel Sassi, Morgan Raether, April E. Lindala

Language Arts Journal of Michigan

This article takes a critical approach to an Information Literacy and Leadership Institute (Institute) for Upper Peninsula K-12 educators with the goal of coming to terms with the dispossession of Indigenous peoples in the region. Participants learned about critical information literacy in relation to archival materials about settler colonization and resource extraction and created curriculum materials for their classrooms. Facilitators designed institute activities with Archibald’s Indigenous Storywork principles in mind and analyzed the outcomes through this framework. The focus on land was reflected in teacher materials, but could be integrated more deeply in future institutes.

Front Matter

Language Arts Journal of Michigan

No abstract provided.

Mariam Khatib: Social Studies Instructor And Community Advocate

Language Arts Journal of Michigan

No abstract provided.

Teaching For Liberation: Using Literature To Combat Oppression In Multilingual Classrooms, Gourika Sharma

Language Arts Journal of Michigan

This article explores the integration of resistance narratives and cultural identity into English literature curricula in multilingual classrooms, highlighting its potential to promote liberation pedagogy. Drawing on the principles of critical pedagogy, it argues that literature can act as a transformative tool to combat oppression, foster critical thinking, and enhance inclusivity. The study employs a qualitative approach, analyzing case studies, classroom practices, and curriculum frameworks to identify effective strategies for teaching literature in linguistically and culturally diverse settings. Key strategies include selecting texts that reflect themes of social justice and resilience, incorporating students' native languages to bridge comprehension gaps, and …

Tasneem, Palestinian Mother

Language Arts Journal of Michigan

No abstract provided.

Call For Manuscripts

Language Arts Journal of Michigan

No abstract provided.

Dr. Carlin Borsheim-Black: Charles Carpenter Fries Award Recipient

Language Arts Journal of Michigan

No abstract provided.

Characterization Of Gata3 Mutant T47d Breast Cancer Spheroid Development, Viability, And Drug Response, Paige Bonnet

Arts & Sciences Undergraduate Showcase

Breast cancer is the most commonly diagnosed cancer in women, with luminal subtypes representing the majority of cases. Among these, 10–15% contain mutations in the transcription factor GATA3, including the P409fs frameshift mutation that produces an extended, dysregulated protein. Because traditional 2D culture systems fail to replicate the structural and biochemical complexity of in‑vivo tumors, this study employed 3D spheroid models to investigate how the P409fs mutation influences T47D breast cancer cell morphology, growth, and drug response.   Control and P409fs T47D cells were aggregated using U‑bottom plates and microwell platforms to generate spheroids of defined size. Spheroid circularity, diameter, and …

Intouch Week Of June 1, 2026, New York Medical College

InTouch

• Annual NYMC Golf Tournament Recognizes Excellence in Leadership and Service
• NYMC Announces 2026-2027 Translational Science Initiative Recipients
• Suicidality Is Key Predictor of Treatment-Resistant Focal Epilepsy
• TCDM Celebrates Class of 2026 Commencement
• Top It Off: 20% Off Select Hats
• Student Spotlight: Inspired to Innovate, Driven to Heal 
• Alumni Spotlight: A Passion for Performing Arts and Physical Therapy
• Alumni Spotlight: Two Lives in One Career

Hydroxamate Formation In The Lipopeptide Containing Siderophore Taiwachelin, Aaron J. Gringer, Kernen P. Agwaza, Isabel Da Fonseca, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Cupriavidus taiwanensis is a nitrogen-fixing bacterium found in root nodules of the invasive tropical weed Mimosa pudica . C. taiwanensis has been shown to grow in environments contaminated with heavy metals such as Pb, Cu, and Cd. Taiwachelin, a recently identified siderophore produced by C. taiwanensis , is an iron chelator that contains a hydroxamate functional group for metal binding. In its biosynthesis, a flavin-dependent N-monooxygenase (NMO) was predicted to hydroxylate l -ornithine, leading to formation of the metal binding hydroxamate moiety. Here, we report the cloning, expression, and biochemical characterization of this enzyme, herein referred to as CtNMO. CtNMO …

Extensive And Intensive Margin Labor Supply On Ride-Sourcing Platforms, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

The rapid expansion of ride-sourcing platforms has enabled freelance drivers to flexibly determine both their participation and working hours. Understanding this flexible labor supply behavior is essential for managing platform capacity and evaluating the impacts of pricing and incentive policies on driver welfare. This study develops a labor supply model in which drivers optimally choose whether to participate (extensive margin) and how long to work (intensive margin) to maximize their utility from consumption and leisure. The model incorporates heterogeneity in drivers’ other income, idle time, and participation costs, allowing us to analytically characterize equilibrium labor supply decisions. The results show …

When Politics Meets Digital Assets: Gender Identity Salience And Nft Pricing After Roe V. Wade, Xiang Liu, Yao Zhao, Ping Fan Ke

Research Collection School Of Computing and Information Systems

Major sociopolitical events can reshape public attention toward identity-related issues, potentially influencing valuation patterns in digital markets where identity-related characteristics are embedded in digital assets. Using the overturning of Roe v. Wade as an exogenous policy shock, this paper examines how gender attributes represented in non-fungible token (NFT) avatars affect market outcomes. Using transaction data from six major avatar-based NFT collections traded on Etherscan in 2022, we apply a quasi-experimental design combining propensity score matching and a difference-in-differences model. The results indicate that the policy shock significantly increased the resale prices of NFTs representing female avatars. These findings suggest that …

Scaling Up Multi-Agent Reinforcement Learning For Large Agent Teams And Long-Horizon Tasks: A Survey, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent reinforcement learning (MARL) empowers multiple autonomous agents to acquire effective policies for collaborative problem-solving. Over the last decade, MARL has seen significant advancements, with numerous algorithms achieving impressive performance across various benchmarks and real-world applications. Nevertheless, the scalability of multi-agent systems, in terms of the number of agents and the length of the task horizon, remains a critical consideration for applying MARL methods to complex problem-solving. Given that a dedicated review of the existing approaches and challenges in scaling up multi-agent systems remains largely absent, this survey aims to bridge this gap by delivering a comprehensive review of MARL …

“Grandpa, Can You Speak Nicer?”: Envisioned Chatbot Roles And Design Tensions In Intergenerational Communication Conflicts, Tianyi Zhang, Emran Bin Elias Poh, Yueyue Hou, Yi-Chieh Lee, Renwen Zhang, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Intergenerational conversations often break down when differences in tone, language, or expectations lead participants to feel dismissed or misunderstood. In this work, we explore how people envision AI-driven chatbot interventions for addressing communication problems in text-based intergenerational family chat. We conducted a scenario-based design interview with 10 pairs of family members from different generations, in which participants designed chatbot interventions that varied in intervention target and timing. Our findings show that participants expect chatbots to perform multiple themes of intervention, including mediating understanding, providing emotional support, offering evaluative commentary, and guiding interaction through behavioral suggestions. These expectations varied systematically across …

The Stars Align: Modeling User Rating Calibration With Sparse Semantic Review Features, Rodrigo Alves, Antoine Ledent

Research Collection School Of Computing and Information Systems

User ratings are often treated as comparable across users, although identical scores may reflect different experiences. We study whether ratings can be viewed as user-specific discretizations of a shared semantic continuum derived from review text. Our method maps reviews into sparse semantic features with a sparse autoencoder and learns user-specific filters for each rating level. On Amazon Electronics, the learned embeddings align along a shared low-dimensional rating axis. Users differ mainly in how they anchor and partition this continuum, while preserving its overall ordinal structure. These findings support a semantic view of calibration beyond scalar bias correction.

“From Remembering To Shaping”: Narrating Shared Experiences By Co-Designing Cultural Heritage Artifacts In Collaborative Vr, Yushang Yang, Fanxu Meng, Fiona Fui-Hoon Nah, L. C. Ray

Research Collection School Of Computing and Information Systems

The ways people remember and recall places reveal an invisible aspect of cultural heritage (CH), reflecting how individuals and communities relate to these places. Heritage is communal, emerging through collaboratively constructed narratives rather than individual records. To probe how people may share collective memories, we designed an immersive two-person workflow for collaboratively co-designing 3D artifacts and environments in virtual heritage locations, using Generative AI (GenAI) to instantiate these intangible memories. Observations of the co-creation process revealed that participants merged prompts and model placements when negotiating different perspectives. They used spatial operations to compose scenes, and also to express personal and …

Not Too Early, Not All At Once: Design Tensions In Ai-Mediated Self-Disclosure In Online Dating, Pei-Hua Tsai, Tianyi Zhang, Emran Bin Elias Poh, Anthony Tang, Yung-Ju Chang

Research Collection School Of Computing and Information Systems

Online dating relies on self-disclosure, yet initial conversations are fragile: users must navigate uncertainty around timing, boundaries, and reciprocity with little shared context. While advances in AI raise the possibility of mediating disclosure, how such support might reshape the experience of early-stage relational disclosure remains underexplored. We conducted 29 semi-structured interviews to examine how daters envision AI-mediated self-disclosure in online dating. Our findings surface recurring design tensions rather than simple opportunities or risks. Participants welcomed guidance that could pace disclosure, support reflection, and reduce social awkwardness, but stressed preserving agency and authorship. They valued interpretive assistance for sense-making of ambiguous …