Digital Commons Network^™

The Use Of Foamed Glass Aggregate (Fga) As A Lightweight Fill Above Culverts, Amr Morsy

Mineta Transportation Institute

Transportation infrastructure—including buried utilities, drainage systems, and culverts—is frequently subjected to significant external stresses arising from existing conditions and new construction, especially in urban environments where deformation and failures can lead to significant operational and safety consequences. Lightweight fills offer a viable strategy to mitigate these stresses by reducing imposed loads. This study investigates the use of lightweight fills, specifically Foamed Glass Aggregate (FGA), as a sustainable solution to support California Senate Bill 1 (SB1) efforts to repair and maintain culverts, as well as for new construction applications. A numerical investigation was conducted to evaluate the performance of culverts backfilled …

Mind The Gap: Freight And Rail System Resilience Between Planning And Practice A Synthesis Of Freight Plan Best Practices And Survey Results From U.S. Transportation Professionals, Serena Alexander, Carmella Uwineza

Mineta Transportation Institute

Freight and rail networks across the United States face mounting risks from weather-related hazards and other systemic disruptions that threaten operational continuity, economic stability, and community well-being. While state freight plans are federally mandated, local and metropolitan freight planning varies widely, leaving gaps in how resilience is addressed across scales. This study examines how resilience is being integrated into freight and rail planning through a two-part approach: (1) a content analysis of 43 recent state and metropolitan freight plans, and (2) a nationwide survey of 56 transportation professionals engaged in freight and rail planning. Findings show broad consensus on the …

2026-05-05 Executive Council Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

Casual Killing In The Home: Ecological Citizenship And The Micro-Geopolitics Of Mosquito Cohabitation, Orlando Woods, Junxi Qian

Research Collection College of Integrative Studies

This article explores how the visceral acts of being bitten by and killing mosquitoes can underpin the formation of ecological citizenship. This form of citizenship is premised on human-nature entanglement and raises questions concerning how the rights and responsibilities stemming from such entanglement become distributed across the public and private domains. As a space in which mosquito cohabitation is contested daily, the home is a key site through which ecological citizenship can be forged and theoretical debates concerning urban political ecology can be extended. Human-mosquito entanglements in the home can reveal the limits of public pest management strategies, the partiality …

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

Isolated Lesser Trochanter Fractures In Adults: A Systematic Review Of Malignant, Infectious, And Benign Etiologies, Max Deneroff, Ethan J. Sack, Austin Khau, Zubair Mohammed, Chadi Ellaham, Jared W. Nichols

Student Publications

Isolated lesser trochanter (LT) fractures are uncommon in adults and may be the first clue to an underlying pathologic process. In contrast to adolescent apophyseal avulsions, the same finding in a skeletally mature patient has been linked to metastatic disease, primary bone tumors, hematologic malignancy, infection, and, less often, benign traumatic, stress-related, osteoporotic, or metabolic causes. This review examined the malignant, infectious, and benign etiologies, diagnostic pathways, treatments, and outcomes that have been reported in adults aged 18 years or older presenting with a radiographically isolated LT fracture or avulsion fracture. PubMed, Embase, and Scopus were searched for English-language case …

Extravascular Factor Ix: A Semicentennial Narrative Review, Tvisha Subhasish, Christopher R. Reed

Student Publications

Coagulation factor IX (FIX) is a serine protease that is crucial for normal hemostasis in vertebrates. Unlike other soluble vitamin K-dependent procoagulant enzymes, there is an “extravascular reservoir” of FIX in various tissues. The extravasation of FIX and its subsequent maintenance outside of circulation have long been attributed to its ability to bind collagen IV. This property is conferred by a short, specialized region of its phospholipid-binding gamma-carboxyglutamic acid (Gla) domain. Collagen IV is a nonfibrillar extracellular protein found primarily in basement membranes that assembles into sheet-like supportive structures around blood vessels and epithelia, providing a convenient scaffold for this …

From Algorithm To Alarm: A Narrative Review On Insulin Delivery Innovation, Noor Ul Asaleem, Faraz Arshad, Maria Qadri, Muhammad Saqlain Mushtaq, Mishaim Khan, Pakeeza Shakoor, Tirath Patel, Anaya Noor, Nikhilesh Anand

School of Medicine Publications

Background and objective: The global rise in the incidence of diabetes mellitus necessitates innovative management strategies to mitigate the severity of the disease. The mainstay of diabetes treatment is still insulin therapy, although there are drawbacks, such as the need to maintain ideal glycemic control while lowering the risk of hypoglycemia and user fatigue. The development, clinical usefulness, and constraints of insulin delivery systems are examined in this narrative review, with particular attention to sensor-augmented and closed-loop technologies.

Methods: A thorough electronic database search was conducted to obtain pertinent data on major insulin delivery devices, including sensor-augmented and closed-loop systems. …

Global Disparities In Neurosurgical Literature: A Narrative Review Of Underrepresentation Of Low- And Middle-Income Countries And Pathways To Research Equity, Tirath Patel, Naveed Ahmad, Abbas Hussain, Bisma Faraz, Amna Binte Naeem, Urooj Sheraz, Laiba Noor, Saleha Khan, Muhammad Seerat Ali, Nikhilesh Anand

School of Medicine Publications

The global neurosurgical literature is dominated by high-income countries, with low- and middle-income countries (LMICs) contributing minimally despite bearing the most significant share of the neurosurgical disease burden. Underrepresentation limits equitable knowledge dissemination and the relevance of guidelines. The objective of this review was to assess neurosurgical publication disparities, identify deterrents to LMIC participation, and outline initiatives that foster equity and inclusion in research. This narrative review synthesized evidence on global disparities in neurosurgical literature through a structured search of PubMed, Scopus, and Google Scholar (2010–2025). Eligible studies examined research output, authorship trends, publication barriers, or equity initiatives. Findings mapped …

Race-Associated Egfr And Kras Mutation Profiles In Lung Adenocarcinoma, Lovyanne Vergel De Dios, Catherine Wu, Salique Hassan Shaham, Manish K. Tripathi

School of Medicine Publications

Background: Lung adenocarcinoma (LUAD) is the most prevalent histologic subtype of non-small cell lung cancer (NSCLC) and exhibits considerable molecular heterogeneity. Among the most clinically significant driver alterations are mutations in EGFR and KRAS, both of which influence treatment selection and oncologic outcomes. The prevalence of these mutations varies by race, yet racial minority populations remain underrepresented in genomic studies. EGFR alterations are more frequently observed in Asian patients, while KRAS mutations predominate in non-Asian cohorts. This study aimed to characterize race-associated differences in driver mutation prevalence among Asian, Black, and White patients with LUAD. Methods: A retrospective secondary cohort …

Efficient And Universal Watermarking For Llm-Generated Code Detection, Boquan Li, Zirui Fu, Mengdi Zhang, Peixin Zhang, Jun Sun, Xingmei Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have significantly enhanced the usability of AI-generated code, providing effective assistance to programmers. This advancement also raises ethical and legal concerns, such as academic dishonesty and the generation of malicious code. For accountability, it is imperative to detect whether a piece of code is AI-generated. Watermarking is broadly considered a promising solution and has been successfully applied to identify LLM-generated text. However, existing efforts on code are far from ideal, suffering from limited universality and excessive time and memory consumption. In this work, we propose a plugand- play watermarking approach for AI-generated code detection, named ACW …

Continuous Query For Top-K Maximal Sum Intervals Over Streaming Data, Zhongshuai Zhang, Xiaochun Yang, Baihua Zheng, Rui Zhu, Haomin Li, Bin Wang

Research Collection School Of Computing and Information Systems

The continuous identification of top-k maximal sum intervals using a sliding window over a data stream is a critical operation for applications in IoT and beyond. A maximal sum interval is a non-overlapping, contiguous subsequence with the maximal sum in a sequence of signed values. Existing algorithms are ill-suited for streaming contexts: they either exhaustively enumerate all intervals even for small k values, or depend on indexes that require frequent and costly restructuring. We propose a novel partition-based strategy. Our core insight is a partitioning scheme that guarantees that any maximal sum interval is fully contained within a single partition, …

Dynamic Spectral Denoising With Global-Context Attention For Multi-Behavior Recommendation, Miaomiao Cai, Yunshan Ma, Fangqi Zhu, Junfeng Fang, Zhijie Zhang, Zhiyong Cheng, Xiang Wang, See-Kiong Ng

Research Collection School Of Computing and Information Systems

Multi-behavior recommendation improves target-behavior predic-tion by exploiting heterogeneous auxiliary feedback (e.g., view,collect, and cart), yet its robustness is often undermined by behavior-dependent noise and inconsistency. We argue that the key bottle-neck is not merely noisy behaviors, but a representation-level failurecaused by two coupled heterogeneities. First, intra-behavior rep-resentation entanglement arises when multi-hop propagationblends incidental signals with true preferences in the embeddingspace. This entanglement renders coarse spatial denoising inef-fective, since it cannot suppress noise without sacrificing weak-but-informative niche signals. Second, inter-behavior reliabilityheterogeneity complicates cross-behavior fusion, as the predic-tive value of auxiliary behaviors varies substantially across usersand contexts. Without reliability calibration, aggregation can …

Approximation And Learning-Based Algorithms For Influence Maximization In Multilayer Social Networks, Xueqin Chang, Ruize Liu, Qing Liu, Baihua Zheng, Yunjun Gao

Research Collection School Of Computing and Information Systems

Motivated by the observation that users in the real world often engage across multiple social networks simultaneously, we study the problem of influence maximization in multilayer social networks (Mlim), aiming to select a small set of nodes that maximizes the total influence spread across all layers. To this end, we introduce a hybrid propagation model that jointly captures layer-specific diffusion dynamics and probabilistic cross-layer propagation. Based on this model, we formally define the Mlim problem and establish its NP-hardness, monotonicity, and submodularity. To address the Mlim problem, we first propose a greedy baseline Mlim-Greedy, which achieves a (1-1/e) approximation. Since …

Hvi-Cidnet+: Beyond Extreme Darkness For Low-Light Image Enhancement, Kangbiao Shi, Xiaowen Ma, Yixu Feng, Tao Hu, Peng Wu, Guansong Pang, Qingsen Yan

Research Collection School Of Computing and Information Systems

Low-Light Image Enhancement (LLIE) aims to recover visually pleasing content and details from degraded low-light images. However, existing RGB-based methods often suffer from color bias and brightness artifacts due to inherent high color sensitivity. Although the HSV color space can decouple brightness and color, it introduces noticeable red and black noise artifacts. To address these challenges, we adopt the Horizontal/Vertical-Intensity (HVI) color space for LLIE, which is defined by the HV color map and learnable intensity. The former enforces small distances for red coordinates to alleviate red noise artifacts, while the latter adaptively compresses low-light regions to suppress black noise …

Audeter: A Large-Scale Dataset For Deepfake Audio Detection In Open Worlds, Qizhou Wang, Hanxun Huang, Guansong Pang, Sarah Erfani, Christopher Leckie

Research Collection School Of Computing and Information Systems

Speech synthesis systems can now produce highly realistic vocalisations that pose significant authenticity challenges. Despite substantial progress in deepfake detection models, their real-world effectiveness is often undermined by evolving distribution shifts between training and test data, driven by the complexity of human speech and the rapid evolution of synthesis systems. Existing datasets suffer from limited real speech diversity, insufficient coverage of recent synthesis systems, and heterogeneous mixtures of deepfake sources, which hinder systematic evaluation and open-world model training. To address these issues, we introduce AUDETER (AUdio DEepfake TEst Range), a large-scale and highly diverse deepfake audio dataset comprising over 4,500 …

Left: Learnable Fusion Of Tri-View Tokens For Unsupervised Time Series Anomaly Detection, Dezheng Wang, Tong Chen, Guansong Pang, Congyan Chen, Shihua Li, Hongzhi Yin

Research Collection School Of Computing and Information Systems

As a fundamental data mining task, unsupervised time series anomaly detection (TSAD) aims to build a model for identifying abnormal timestamps without assuming the availability of annotations. A key challenge in unsupervised TSAD is that many anomalies are too subtle to exhibit detectable deviation in any single view (e.g., time domain), and instead manifest as inconsistencies across multiple views like time, frequency, and a mixture of resolutions. However, most cross-view methods rely on feature or score fusion and do not enforce analysis–synthesis consistency, meaning the frequency branch is not required to reconstruct the time signal through an inverse transform, and …

Timeradar: A Domain-Rotatable Foundation Model For Time Series Anomaly Detection, Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang

Research Collection School Of Computing and Information Systems

Current time series foundation models (TSFMs) primarily focus on learning prevalent and regular patterns within a predefined time or frequency domain to enable supervised downstream tasks (\eg, forecasting). Consequently, they are often ineffective for inherently unsupervised downstream tasks—such as time series anomaly detection (TSAD), which aims to identify rare, irregular patterns. This limitation arises because such abnormal patterns can closely resemble the regular patterns when presented in the same time/frequency domain. To address this issue, we introduce TimeRadar, an innovative TSFM built in a fractional time–frequency domain to support generalist TSAD across diverse unseen datasets. Our key insight is that …

Task-Aligned Haze Removal With Semantic-Aware Fusion And Contrast Self-Correction, Jinbin Wang, Aiping Yang, Guosong Jiang, Wenlong Yu, Dongwei Ren, Qinghua Hu

Research Collection School Of Computing and Information Systems

Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often misaligned with downstream detection requirements, leading to limited detection performance in real‐world scenarios. To address this issue, this work proposes a task‐aligned weakly supervised haze removal framework, termed Dehaze4Detection, which explicitly aligns low‐level restoration with high‐level detection objectives. The framework incorporates a Semantic‐Aware Multi‐Scale Fusion Module (SMFM) that embeds pixel‐level semantic knowledge into the dehazing process, enabling selective …

Yorga Moorditj Koort: Aboriginal And Torres Strait Islander Women’S Perspectives About Heart Health On Noongar Boodjar, Elia Bidgood, Cathy Garlett, Richard Chenhall, Amie Bingham, Francine Eades, Emily Banks, Melinda J. Carrington, Grace Joshy, Sandra Eades, Tabassum Rahman

Research outputs 2022 to 2026

In Australia, despite overall declines in cardiovascular disease (CVD)-related mortality, Aboriginal and Torres Strait Islander women develop heart disease earlier and experience more than twice the rate of related morbidity and mortality compared with non-Indigenous women. This study explores Aboriginal women’s understandings of the factors that shape their heart health and lived experiences of CVD. We spoke with 28 Aboriginal women aged ≥18 years—15 semistructured interviews and two yarning circles with an additional 13 Aboriginal women—with/without pre-existing CVD, and 10 healthcare professionals (HCPs) working with Aboriginal communities in the Perth metropolitan region, between May 2024 and April 2025. Data were …

Policy And Regulation In Virtual Power Plants Development, Hemlal Bhattarai, Aziz, Stefan Lachowicz

Research outputs 2022 to 2026

Electricity systems are changing due to the rapid deployment of distributed energy resources (DER), which also presents significant regulatory obstacles to their coordinated integration into energy markets and power grids. However, the majority of current material in publications concentrate on operational optimization and technical architectures, with little systematic synthesis of the legal and policy frameworks governing the deployment of VPP on a broad scale. To provide grid services, improve flexibility and support decarbonization objectives, virtual power plants (VPP) have become a crucial aggregation method. To close this gap, this research critically looks at the institutional roles, market structures, global policy …

Characterising Manual Dexterity, Motor Cortex Neuroplasticity, And Intracortical Inhibition Long After Burn Injury, Grant S. Rowe, Alecia Wood, Mark Fear, Dale W. Edgar, Aleksandra Miljevic, Tyler Osborne, Natalie Morellini, Merrilee Needham, Ann Maree Vallence, Fiona Wood

Research outputs 2022 to 2026

Purpose: Persistent motor dysfunction after burn injury may be due to altered motor cortex and corticospinal tract function. This study examined manual dexterity, motor cortex neuroplasticity, and intracortical inhibition in former burn patients 1–3 years after minor injury (<10% TBSA). Method: Thirty former burn patients (TBSA: 0.78 ± 1.08%) and 30 non-injured controls participated. Manual dexterity was assessed using the Purdue Pegboard. Transcranial magnetic stimulation (TMS) was used to measure motor cortex excitability (motor evoked potential [MEP] amplitude) and short- and long-interval intracortical inhibition (SICI, LICI) before and after paired-associative stimulation (PAS) to induce neuroplasticity. Results: Former burn patients performed worse than controls on the bimanual assembly subtest of the Purdue Pegboard. PAS did not induce changes in MEP amplitude but increased LICI in both burn patients and control participants. In burn patients, baseline LICI was related to bimanual performance differently than controls. Conclusions: These findings suggest poorer bimanual motor function persists after minor burns, and differences in the association between inhibition and bimanual dexterity between burn and control groups. Further research should explore whether targeting motor cortex inhibitory circuits can improve motor performance following burn injury

Experimental Thermal-Hydraulic Performance Enhancement Of A Parabolic-Trough Solar Collector Using 3d-Printed Propeller-Shaped Turbulators, Shayan Pourhemmati, Barun Kumar Das, Majid Tolouei-Rad, Abdellah Shafieian

Research outputs 2022 to 2026

This experimental study investigates the thermal-hydraulic performance of a parabolic trough collector (PTC) equipped with propeller-shaped turbulators, which were 3D printed and installed along the absorber tube to enhance convective heat-transfer by increasing flow mixing. Nine turbulator configurations were tested by varying the blade angle (β = 22.5° and 45°, and β = 67.5°) and the number of turbulators (Nt = 6, 12, and Nt = 18) over a Reynolds number range of 1000 to 6000. To ensure a rigorous and unbiased comparison, all experiments were conducted under identical operating conditions, including a constant inlet temperature and a constant Reynolds …

Musical Training Increases Anticipatory Responding And Predictive Control In Sequence Learning, Li Ann Leow, Jarrad Lum, Sara Johnson, Emily Corti, Welber Marinovic

Research outputs 2022 to 2026

Musicians demonstrate advantages in acquiring motor sequences, showing faster learning and better explicit sequence knowledge than non-musicians. However, it is unclear whether this advantage extends beyond acquisition to the consolidation phase, which is when newly learned skills stabilize and become resistant to interference. Additionally, while interference from executing competing motor tasks is well-established, less is known about whether purely sensory information presented after learning can disrupt consolidation of a bimodal motor sequence. We investigated how post-acquisition sensory interference affects performance of a learned audio-visual sequence, and whether musical training moderates this vulnerability. Participants first learned an explicit sequence in a …

Nutrition Considerations In Youth With Type 2 Diabetes Using Glucagon-Like Peptide-1 Receptor Agonists: A Commentary, Maria E Diaz, Grace Kim, Mili Vakharia

Faculty, Staff and Students Publications

No abstract provided.

Cost-Effectiveness Of Hes V2.0 And Galad For Hepatocellular Carcinoma Surveillance In Patients With Cirrhosis, Mert Sahinkoc, Gizem S Nemutlu, Hashem B El-Serag, Mary Linton B Peters, Ali Hajjar, Anthony E Samir, Leigh Anne Dageforde, Fasiha Kanwal, Jagpreet Chhatwal

Faculty, Staff and Students Publications

Background: Ultrasound-based surveillance for HCC is limited by suboptimal sensitivity and low adherence. Blood-based biomarkers are potential alternatives for routine HCC surveillance. We aimed to define optimal sensitivity, specificity, and cost parameters under which blood-based biomarkers could serve as cost-effective alternatives in patients with cirrhosis.

Methods: We developed a microsimulation model of the natural history of HCC in individuals with compensated cirrhosis. We compared the cost-effectiveness of biannual surveillance using 2 blood-based biomarkers-HES V2.0 and GALAD-versus ultrasound-based surveillance across a range of sensitivity, specificity, test costs, and adherence levels. Outcomes included quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios …

Dupilumab Versus Placebo In Adults And Adolescents With Eosinophilic Gastritis (Degas): A Double-Blind, Placebo-Controlled, Phase 2, Multicentre, Randomised Controlled Trial, Nirmala P Gonsalves, Evan S Dellon, Kara L Kliewer, Tetsuo Shoda, Regina Yearout, Seema S Aceves, Nicoleta C Arva, John A Besse, Julie M Caldwell, Mirna Chehade, Amaziah Coleman, Margaret H Collins, Sara Anvari, Gary W Falk, Sandeep K Gupta, Girish Hiremath, David A Katzka, Paneez Khoury, John Leung, Calies Menard-Katcher, Paul Menard-Katcher, Kathryn A Peterson, Maria A Pletneva, Amanda K Rudman Spergel, Jonathan M Spergel, Tatyana Vaysman, Joshua B Wechsler, Benjamin L Wright, Guang-Yu Yang, Xue Zhang, Meijian Zhou, Ashish Bansal, Bram P Raphael, Amr Radwan, Jennifer Maloney, Antonio Martin, Yamo Deniz, Glenn T Furuta, Lisa J Martin, Marc E Rothenberg

Faculty, Staff and Students Publications

Background: Eosinophilic gastritis currently has no approved treatments and is postulated to be driven by type 2 inflammation. Dupilumab blocks type 2 cytokines IL-4 and IL-13 and has efficacy in multiple diseases characterised by type 2 inflammation, including eosinophilic oesophagitis. We aimed to assess the efficacy and safety of dupilumab in patients with eosinophilic gastritis.

Methods: DEGAS was a proof-of-concept, phase 2, multicentre, randomised controlled trial consisting of a 12-week, double-blind, placebo-controlled period, followed by a 24-week open-label extension period. Patients aged 12-70 years from 11 hospitals in the USA with histologically active eosinophilic gastritis (≥30 eosinophils per high-power field …

Colocalization Of Eqtls With Type 2 Diabetes And Glycemic Traits Using Whole-Genome Sequences In Diverse Populations From The Nhlbi Trans-Omics In Precision Medicine (Topmed) Program, Ningyuan Wang, Daniel A Dicorpo, Yixin Zhang, Erica Kleinbrink, Donna K Arnett, John Barnard, John Blangero, Donald W Bowden, April P Carson, Yii-Der Ida Chen, Mina K Chung, Joanne E Curran, Dawood Darbar, Ravindranath Duggirala, Patrick T Ellinor, Diane Fatkin, Myriam Fornage, Nancy Heard-Costa, Jiang He, Lifang Hou, Sharon L R Kardia, Charles Kooperberg, Ruth J F Loos, David D Mcmanus, Braxton D Mitchell, Ryan L Minster, Kari E North, Bruce M Psaty, Laura M Raffield, Susan Redline, Stephen S Rich, Dan Roden, Jerome I Rotter, Moore B Shoemaker, Jonathan D Smith, David R Van Wagoner, Francois Aguet, Kristin Ardlie, Joshua C Bis, Jennifer A Brody, Brian E Cade, Clary B Clish, Paul S De Vries, James S Floyd, Barry I Freedman, Stacey Gabriel, Robert E Gerzsten, Mark O Goodarzi, Charles Gu, Xiuqing Guo, Namrata Gupta, Susan R Heckbert, Sarah Hsu, Yi-Jen Hung, Rita R Kalyani, Tanika N Kelly, Gregory L Kinney, Changwei Li, Simin Liu, Yongmei Liu, Donald M Lloyd-Jones, Joann E Manson, Rasika A Mathias, Josep M Mercader, Alanna C Morrison, Take Naseri, Suna Onengut, Nicholette D Palmer, Patricia A Peyser, Qibin Qi, Sridharan Raghavan, Alex P Reiner, Mary R Rooney, Magdalena Sevilla-Gonzalez, Chloe Sarnowski, Joshua D Smith, Jennifer A Smith, Nicole L Spartano, Usman Tahir, Kent D Taylor, Deirdre K Tobias, Russel P Tracy, Satupa'itea Viali, Heming Wang, Alexis C Wood, Lisa R Yanek, Wei Zhao, Yinan Zheng, Josée Dupuis, Ching-Ti Liu, Robert Sladek, Jennifer Wessel, James B Meigs, Alisa K Manning, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium

Faculty, Staff and Students Publications

Large-scale multiancestry genome-wide association studies have identified hundreds of loci associated with type 2 diabetes (T2D) and glycemic traits, yet imputed genotyping arrays limit the detection of low-frequency and rare variants. Whole-genome sequencing (WGS) offers a more complete view of genetic variation, especially across diverse populations. We analyzed high-coverage (38×) WGS data from 21,913 T2D case subjects, 61,036 control subjects, and up to 50,011 individuals with no diabetes with fasting glucose, fasting insulin, and HbA1c from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine Program. We performed single-variant association testing, conditional analysis, fine-mapping, and Bayesian colocalization to …

Understanding What Works In Disseminating Clinical Practice Guidelines: A Qualitative Evidence Synthesis, Sumanth Kumbargere Nagraj, Tandekile Lubelwana Hafver, Valerie Reinthaler, Stijn Van De Velde, Carlos Zaror, Yan Jiao Shen, Susan Banda, Talitha Mpando, Gertrude Kunje, Suzgika Lakudzala, Ameer Hohlfeld, Emmanuel Effa, Denny Mabetha, Thomas Agoritsas, Per Olav Vandvik, Nicolas Delvaux

Peninsula Dental School

Objective To identify the barriers and facilitators that influence the dissemination of clinical practice guidelines (CPGs) and to explore the perceived usefulness, practical utility, expectations, and unmet needs of end users in relation to current dissemination strategies. Methods This qualitative evidence synthesis (QES) is a part of mixed-methods evidence synthesis. We searched literature from MEDLINE, Embase, CINAHL, Web of Science, Scopus, Epistemonikos, and Agency for Healthcare Research and Quality and Medical Guidelines Clearing house on January 30, 2025. Screening, data extraction and quality appraisal of the included studies were done by at least two authors independently and in duplicate. We …

Future Prospects Of Pediatric Lung Transplantation, Ernestina Melicoff, David Moreno Mcneill, Christian Benden

Faculty, Staff and Students Publications

This special issue of the Journal of Heart Transplantation Open is dedicated to Pediatric Thoracic Transplantation. The authors will discuss subjects related to pediatric lung transplantation such as access to donor organs, allograft dysfunction and role of functional status in outcomes.