Digital Commons Network^™

A New Multisystem Ercc1-Hepatorenal Syndrome: Insights From A Clinical Cohort, Molecular Pathogenesis, And Management Guidelines., Susan M. White, Annelotte P. Wondergem, Isa Breet, Maren Dittmaier, Katrina Bell, Christopher M. Richmond, Winita Hardikar, Kanika Bhatia, Catherine Quinlan, David Orchard, Areetha D'Souza, Walter J. Chazin, Christopher Smith, Rebecca Sparkes, Simon Lam, Alexandra Carter, Robert J. Hopkin, Leticia Khendek, Bonnie Sullivan, Naja Becher, Anne Katrine W. Simonsen, Helene Kvistgaard, Katherine Dempsey, Alexander G. Miethke, Pernille Axél Gregersen, Eliza Phillips, Martijn S. Luijsterburg

Manuscripts, Articles, Book Chapters and Other Papers

DNA repair disorders are a group of conditions characterized by progressive, multisystem phenotypes. Defining new clinical presentations of these disorders is essential for optimizing patient care. ERCC1-XPF is a multifunctional endonuclease involved in nucleotide excision repair (NER) and interstrand crosslink (ICL) repair. We sought to define a novel multisystem phenotype associated with biallelic ERCC1 variants and impaired DNA repair. Through international collaboration, we identified seven individuals from five families carrying biallelic ERCC1 variants, including p.Arg156Trp and p.Ala266Pro, who exhibited a distinct clinical phenotype. All individuals presented with growth restriction, photosensitivity, and kidney and liver dysfunction. Notably, three children required liver …

Ids Network Newsletter Fall 2025, Kristen Heinrich

IDS Network Newsletter

The IDS Network Newsletter has helpful resources and community updates. Dive in to see how your colleagues are refining processes, strengthening resource sharing, and how we are leading innovation across the IDS community.

Grandma's Rocking Chair, Roberta Harman Ford

Old Elbows

Step into a world of gentle memories and timeless love with Grandma's Rocking Chair, a beautifully illustrated children's book that celebrates the magic of family traditions.

From crawling up the stairs to playing hide-and-seek under air mattresses, Brittney's visits to Grandma's house are filled with joy. But nothing compares to the comfort of Grandma's rocking chair-a place where stories are shared, giggles echo, and love is felt deeply.

As Brittney grows, the chair becomes a cherished symbol of connection, passed down from her grandmother, who once sat in it with her own grandma. Through floods, moves, and milestones, the rocking …

Abolitionism And The Struggle Against Slavery In Livingston County, Justin Behrend Ph.D.

History

This article examines the abolitionist movement in Livingston County, New York, through the records of the Livingston County Anti-Slavery Society. It shows how this region in Western New York transformed from one where slavery was tolerated to one where people fought against slavery during the Civil War. Activists between 1837 and 1839 organized meetings to spread abolitionism and to push the United States to abolish slavery.

Climate Change And Human Migration, Jennifer R. Guzmán

Climate Change and the Individual, 2025-26

Migration is one of the oldest human behaviors and among the most important of human survival strategies. Climate change has always been a significant driver of human migration because humans are interdependent with the ecosystems where they live. Today’s climate change is anthropogenic, and its harmful effects are made worse by social inequities. Millions are having to leave their homes, including internally displaced people, climate refugees, and labor migrants. Radical changes are needed in science, policy, law, and cultural narratives to minimize the harms of climate displacement.

Apa 7th Edition Checklist, Dawn Atkinson

Writing

No abstract provided.

Quick Guide To Using Commas, Dawn Atkinson

Writing

No abstract provided.

“Sometimes I Have To Figure Things Out By Talking About Them”: Conceptualizing Think-Aloud Protocols As Spaces For Reflexivity During Open Textbook Construction, Dawn Atkinson, Stacey Corbitt

Writing

Abstract Open textbooks, freely available open educational resources, have an ever-growing presence in learning environments around the world, though detailed studies of their development are rare. The challenges of tracking textbook writing activity in a precise manner over time may account for this sparsity. To highlight how process-tracing research can contribute insight to the textbook development literature, particularly that focused on open textbook writing, this study addresses the roles that think-aloud protocols (TAPs) played during the construction of an open corequisite writing textbook. The volume, which was designed with underprepared university students in mind, stresses the growth of academic and …

Islams And Modernity In Cyprus And Turkey: A Comparative Perspective, Michael Todd Smith

School of Political Science, Public Affairs, Legal and Security Studies Faculty Publications

This article critically analyzes Aziz Al-Azmeh’s concept of Islams, while arguing for a contextbased analysis of the meeting between religious identity and modernity. It provides a loose framework for analyzing encounters between Islams and modernity in the cases of Cyprus and Turkey. Despite their close cultural and political connections at the rise of modernity, these two cases diverge, showcasing a high degree of public and private secularism in Cyprus and a contested public secularism and significant private religious identification in Turkey.

All-Cause And Cause-Specific Mortality Among Patients With Narcolepsy., Chih-Wei Hsu, Yen-Shan Yang, Yang-Chieh Brian Chen, Liang-Jen Wang, Mu-Hong Chen, Yao-Hsu Yang, Chih-Sung Liang, Edward Chia-Cheng Lai

Children’s Nutrition Research Center Staff Publications

Importance: Narcolepsy is a sleep disorder potentially affecting mortality, yet evidence on this association remains sparse.

Objective: To examine whether narcolepsy is associated with an increased risk of all-cause and cause-specific mortality.

Design, setting, and participants: This retrospective cohort study used data from the Taiwan National Health Insurance Research Database (NHIRD) from 2001 to 2021, with patients followed up until death or December 31, 2022. Patients were aged 6 years or older with 2 or more narcolepsy diagnoses from psychiatrists or neurologists. Controls were selected from the NHIRD as a population-based sample. Controls without narcolepsy were matched in a 1:4 …

Menopause Factors And Alterations In Gut Microbiota And Insulin Homeostasis: A Cross-Sectional Analysis Of The Microbiome And Insulin Longitudinal Evaluation Study (Miles), Vincent J Maffei, Alain G Bertoni, Alexis C Wood, Jerome I Rotter, Osa Crago, Yii-Der I Chen, Joseph F Petrosino, Kristi L Hoffman, Mark O Goodarzi, Elizabeth T Jensen

Children’s Nutrition Research Center Staff Publications

Aim: To assess the risk for impaired insulin homeostasis as a function of menopause-related factors and gut microbiota dysbiosis in non-diabetic, post-menopausal women.

Materials and methods: Baseline data (n = 175 women) from the Microbiome and Insulin Longitudinal Evaluation Study (MILES) were used, including insulin and dysglycaemia indices calculated from a 2-h oral glucose tolerance test, untargeted peripheral metabolomics, targeted peripheral short chain fatty-acid levels and faecal bacterial microbiota surveyed by whole-metagenomic sequencing.

Results: After adjustment for covariates, menopause age < 50 years and use of hormone replacement therapy (HRT) were associated with lower Matsuda et al. insulin sensitivity index levels (β = -0.232, confidence interval (CI) = [-0.450, -0.014] and β = -0.275, CI = [-0.444, -0.107], respectively) but not pre-menopausal gynaecologic surgery. Pre-menopausal gynaecologic surgery was significantly associated with faecal microbiota beta diversity driven by a relative increase in diabetogenic Ruminococcus gnavus and Clostridium species and a decrease in protective Alistipes species and Akkermansia muciniphila relative abundances. A reduction in two glycerophospholipids in the plasmalogen class significantly statistically mediated an inverse association between gynaecologic surgery before menopause and insulin sensitivity.

Conclusions: Menopause age and history of HRT are more strongly associated with insulin resistance than gynaecologic surgery before menopause. However, …

Is Your Data Good, Bad, Or Neutral?: Redefining Concreteness For Data Breach Harms, Jeeyoon Lim

Fordham Law Review

In recent years, the Supreme Court has tightened federal court standing requirements for intangible harms, including statutory harms. In TransUnion LLC v. Ramirez, the Court held that a mere statutory violation, absent a common-law analogue, is not sufficiently concrete to grant standing. The Court did not provide clear guidance as to how stringent the common-law analogue analysis must be, other than that it does not require an “exact duplicate.” Because of the ever-evolving nature of digital data, data breach victims attempting to enforce their statutory right to privacy in federal court have struggled to rely on tradition and history …

Are Your Secrets Safe?: Imposing A Fiduciary Duty On Healthcare Ai Developers Dealing With Sensitive Health Information, Lauren Quinn

Fordham Law Review

In 1996, Congress passed the Health Insurance Portability and Accountability Act (HIPAA) to establish standards for transmitting health information. For decades, the HIPAA Privacy Rule has operated as the primary regulation protecting health information in the United States. However, in the decades since HIPAA was enacted, new technologies have demonstrated the shortcomings of the Privacy Rule. In particular, the development of healthcare artificial intelligence (AI) has created new privacy concerns and exacerbated existing ones. This Note examines the current healthcare privacy framework in the United States and considers how healthcare AI complicates it. This Note also explores how AI developers …

Legal Protections For Gig Workers: A Comparative Socio-Legal Study Of Indonesia And India, Vidisha Shekhawat, Pranjal Khare

The Indonesian Journal of Socio-Legal Studies

The platform economy has transformed the lines of labour in the last few years across both developed and developing countries. In the case of other countries, such as Indonesia and India, where informal employment has been a long-standing characteristic of the labour force, the rise of digital platforms, including Gojek, Grab, Swiggy, and Zomato, has added another layer of complexity to already existing labour issues. These services provide flexibility and earning potential, albeit in exchange for social safety nets and work rights. This paper undertakes a doctrinal and comparative socio-legal study to observe the way the legal jurisdictions of Indonesia …

Adolescent Executive Function As A Resilience Factor In The Family Stress Model Among Mexican-Origin Families, Su Yeong Kim, Yayu Du, Tianlu Zhang, Jingyi Shen, Kiera M. Coulter, Lester Sim, Wen Wen, Belem G. Lopez, Maria M. Arredondo, Shen Yishan, Hou Yang

Research Collection School of Social Sciences

Mexican-origin families often face economic hardship due to systemic oppression, increasing the likelihood of adolescent marijuana use. While the family stress model provides insight into the mechanism of the association between family economic hardship and adolescent marijuana use, resilience factors are relatively unknown. The present study uses a three-wave longitudinal data set of Mexican immigrant families in the United States (Wave 1—adolescents: Mage = 12.29, SD = 0.93; mothers: Mage = 38.57, SD = 5.71) to investigate the mechanism underlying the association between family income and adolescents’ likelihood of marijuana use, guided by the family stress model. The protective role …

Fulcrum, Newsletter Of The Furman University Libraries. Issue 24, Micah Wingard, Kathie Sloan

Libraries Institutional Records

Furman's First Century: A Bicentennial Exhibition

From the Director

The Unofficial Library Wildlife Watch

Lucky Layers: The Tradition of Dressing Up Charlie

From the Instruction and Research Services Desk

The Paladin Project

Digital Collections Now Easier to Use

A Look Back at Homecoming 2025

From the Vault: Designing and Building a New Campus

What We're Reading

Important Dates

Classical Shadows With Improved Median-Of-Means Estimation, Winston Fu, Dax Enshan Koh, Siong Thye Goh, Jian Feng Kong

Research Collection School Of Computing and Information Systems

The classical shadows protocol, introduced by Huang et al (2020 Nat. Phys. 16 1050), makes use of the median-of-means (MoM) estimator to efficiently estimate the expectation values of M observables with failure probability δ using only O ( log ⁡ ( M / δ ) ) measurements. In their analysis, Huang et al used loose constants in their asymptotic performance bounds for simplicity. However, the specific values of these constants can significantly affect the number of shots used in practical implementations. To address this, we studied a modified MoM estimator proposed by Minsker (2023 Proc. 36th Conf. on Learning Theory …

Look Before You Decide: Prompting Active Deduction Of Mllms For Assumptive Reasoning, Yian Li, Wentao Tian, Yang Jiao, Jingjing Chen, Tianwen Qian, Bin Zhu, Na Zhao, Yu‑Gang Jiang

Research Collection School Of Computing and Information Systems

Recently, Multimodal Large Language Models (MLLMs) have achieved significant success across multiple disciplines due to their exceptional instruction-following capabilities and extensive world knowledge. However, whether these MLLMs possess human-like compositional reasoning abilities remains an open problem. To unveil their reasoning behaviors, we first curate a Multimodal Assumptive Reasoning Benchmark (MARS-Bench) in this paper. Interestingly, we find that most prevalent MLLMs can be easily fooled by the introduction of a presupposition into the question, whereas such presuppositions appear naive to human reasoning. Besides, we also propose a simple yet effective method, Active Deduction (AD), a novel reinforcement learning paradigm to encourage …

From Holistic To Localized: Local Enhanced Adapters For Efficient Visual Instruction Fine-Tuning, Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yugang Jiang

Research Collection School Of Computing and Information Systems

Efficient Visual Instruction Fine-Tuning (EVIT) seeks to adapt Multimodal Large Language Models (MLLMs) to downstream tasks with minimal computational overhead. However, as task diversity and complexity increase, EVIT faces significant challenges in resolving data conflicts. To address this limitation, we propose the Dual Low-Rank Adaptation (Dual-LoRA), a holistic-to-local framework that enhances the adapter’s capacity to address data conflict through dual structural optimization. Specifically, we utilize two subspaces: a skill space for stable, holistic knowledge retention, and a rank-rectified task space that locally activates the holistic knowledge. Additionally, we introduce Visual Cue Enhancement (VCE), a multi-level local feature aggregation module designed …

Exploring Object Status Recognition For Recipe Progress Tracking In Non-Visual Cooking, Franklin Mingzhe Li, Kaitlyn Ng, Bin Zhu, Patrick Carrington

Research Collection School Of Computing and Information Systems

Cooking plays a vital role in everyday independence and well-being, yet remains challenging for people with vision impairments due to limited support for tracking progress and receiving contextual feedback. Object status — the condition or transformation of ingredients and tools — offers a promising but underexplored foundation for context-aware cooking support. In this paper, we present OSCAR (Object Status Context Awareness for Recipes), a technical pipeline that explores the use of object status recognition to enable recipe progress tracking in non-visual cooking. OSCAR integrates recipe parsing, object status extraction, visual alignment with cooking steps, and time-causal modeling to support real-time …

Visual-Enhanced Multimodal Framework For Flexible Job Shop Scheduling Problem, Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang

Research Collection School Of Computing and Information Systems

Multimodal models leverage complementary information across modalities to enrich feature representations. While visual information shows potential in representing structure for some combinatorial optimization problems (COPs), its application to complex scheduling like the Flexible Job Shop Scheduling Problem (FJSP) remains underexplored. Current learning-based FJSP solvers predominantly rely on handcrafted state features. This dependence can lead to inconsistencies and may not fully capture the problem's intricate dynamics. Crucially, these methods overlook visual modalities. Visual representations offer a distinct advantage by inherently capturing the global topological structure and complex resource interactions within the FJSP state. Unlike localized handcrafted features, this holistic, structural view …

Mitigating Cross-Modal Representation Bias For Multicultural Image-To-Recipe Retrieval, Qing Wang, Chong-Wah Ngo, Yu Cao, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Existing approaches for image-to-recipe retrieval have the implicit assumption that a food image can fully capture the details textually documented in its recipe. However, a food image only reflects the visual outcome of a cooked dish and not the underlying cooking process. Consequently, learning cross-modal representations to bridge the modality gap between images and recipes tends to ignore subtle, recipe-specific details that are not visually apparent but are crucial for recipe retrieval. Specifically, the representations are biased to capture the dominant visual elements, resulting in difficulty in ranking similar recipes with subtle differences in use of ingredients and cooking methods. …

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …

Emoshortcuts: Emotionally Expressive Body Augmentation For Social Mixed Reality Avatars, Hyuna Seo, Youngki Lee, Rajesh Krishna Balan, Thivya Kandappu

Research Collection School Of Computing and Information Systems

We present EmoShortcuts1, a novel social Mixed Reality (MR) framework that enhances emotional expression by dynamically augmenting avatar body gestures to reflect users’ emotional states. While social MR enables immersive remote interactions through avatars, conveying emotions remains challenging due to limitations in head-mounted display (HMD) tracking (e.g., missing lower-body movements, such as stomping or defensive postures), and users’ tendency to deprioritize nonverbal expressions during multitasking. EmoShortcuts addresses these challenges by introducing an augmentation framework that generates expressive body gestures even when users’ physical movements are restricted. We conducted a formative study with 12 participants to identify key challenges in emotional …

Language-Driven 3d Human Pose Estimation In Multi-Person Scenarios: A New Dataset And Approach, Tingrui Shen, Bangzhen Liu, Zhirun Fan, Shiting Zhang, Weifeng Pan, Sun Fan, Dan Cao, Shengfeng He

Research Collection School Of Computing and Information Systems

In an NBA game scenario, consider the challenge of locating and analyzing the 3D poses of players performing a user-specified action, such as attempting a shot. Traditional 3D human pose estimation (3DHPE) methods often fall short in such complex, multi-person scenes due to their lack of semantic integration and reliance on isolated pose data. To address these limitations, we introduce Language-Driven 3D Human Pose Estimation (L3DHPE), a novel approach that extends 3DHPE to general multi-person contexts by incorporating detailed language descriptions. We present Panoptic-L3D, the first dataset designed for L3DHPE, featuring 3,838 linguistic annotations for 1,476 individuals across 588 videos, …

Advances In Iot, Ai, And Sensor‑Based Technologies For Disease Treatment, Health Promotion, Successful Ageing, And Ageing Well, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Recent advancements in the Internet of Things (IoT) and artificial intelligence (AI) are unlocking transformative opportunities across society. One of the most critical challenges addressed by these technologies is the ageing population, which presents mounting concerns for healthcare systems and quality of life worldwide. By supporting continuous monitoring, personal care, and data-driven decision-making, IoT and AI are shifting healthcare delivery from a reactive approach to a proactive one. This paper presents a comprehensive overview of IoT-based systems with a particular focus on the Internet of Healthcare Things (IoHT) and their integration with AI, referred to as the Artificial Intelligence of …

Website Owner Identification Through Multi-Level Contrastive Representation Learning, Cheng Tu, Yunshan Ma, Yang Li, Min Zhang, Miao Hu, Fan Shi, Xiang Wang

Research Collection School Of Computing and Information Systems

Website owner identification aims to recognize the organization or individual who owns a given website that is served on the web. It is a crucial step for cyberspace surveying and mapping, playing a significant role in cyberspace administration and governance. Existing widely employed solutions for website owner identification mainly fall into two paradigms: (1) querying the public information databases such as WHOIS, which store the Internet resource’s registered users or assignees; and (2) directly extracting the organization or individual name of the website owner from the webpage using the technique of named entity recognition. However, the former is less reliable …

Morphology-Aware Hrv Estimation From Wrist Ppg In Sedentary Scenarios, Changshuo Hu, Hung Manh Pham, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) is widely used in wearable devices for non-invasive heart rate variability (HRV) monitoring. While most prior work focuses on mitigating motion artifacts, recent studies highlight that even subtle contact pressure variations can distort waveform morphology and lead to inaccurate HRV estimates. In this work, we propose a morphology-aware deep learning framework that conditions HRV estimation on beat-level waveform types. Our model jointly encodes the raw PPG waveform and a sequence of pressure-induced morphology labels using parallel encoders, integrates them via cross-attention, and predicts normal-to-normal (NN) intervals and beat count to support downstream HRV computation. Evaluated on the public …

Does Increasing Canopy Liana Density Decrease The Tropical Forest Carbon Sink?, Stefan A. Schnitzer, David M. Defilippis

Biological Sciences Faculty Research and Publications

The ongoing decline in the American tropical forest carbon sink has serious ramifications for atmospheric carbon levels and global climate change. Increasing liana abundance may explain the decaying carbon sink because lianas reduce canopy tree growth and survival, which limits forest carbon storage. However, canopy lianas, not solely understory lianas, would have to be increasing for this hypothesis to be credible because canopy lianas compete especially intensely with canopy trees. We examined the change in canopy lianas over 10 years on Barro Colorado Island (BCI), Panama to test two main hypotheses. (1) Canopy lianas are increasing on BCI. (2) Increasing …

Minimizing Travel Burden Of Gynecologic Cancer Surveillance Through A Unique Multidisciplinary Telehealth Program, Avni Shridhar, Suzanne Viator, Tara Castellano, Holly Provost, Navya Nair, Elizabeth Neupert, Amma Agyemang, Amelia Jernigan

School of Medicine Faculty Publications

OBJECTIVE: STEEL MAGNOLIAS (shared telehealth for multidisciplinary gynecologic cancer survivorship) is a novel gynecologic cancer surveillance care-delivery program in which rural patients see a close-by gynecologist in person with simultaneous virtual gynecologic oncology consultation. This study assesses feasibility of STEEL MAGNOLIAS by examining travel burden reduction, cancer outcomes, visit activities, guideline adherence, and patient satisfaction. METHODS: We retrospectively reviewed charts of patients with gynecologic cancer in remission under the STEEL MAGNOLIAS program in rural south Louisiana (March 2020-September 2023). Travel metrics, patient satisfaction, cancer outcomes, survival status, reasons for visit, and adherence to follow-up as per National Comprehensive Cancer Network …