Shukang Wang

Integrative omics analysis incorporating cardiovascular magnetic resonance imaging pinpoints potentially druggable plasma proteins for cardiovascular diseases

Weiming Gong, Ping Guo, Lu Liu, X. Sun et autres

Abstract Despite advances in traditional risk factors for cardiovascular diseases (CVDs), significant residual risk of CVDs remains incompletely captured. Integrative analysis incorporating cardiovascular magnetic resonance imaging (CMR) could facilitate to discover novel ­therapeutic targets. This study aimed to identify potentially druggable plasma …

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The influence of attitudes towards statistics on statistical proficiency among medical students: a chain mediating effect of statistics anxiety and statistics self-efficacy

Jing Liu, Siqi Fan, Ying Liu, Shukang Wang et autres

BACKGROUND: Statistics education is essential for evidence-based medical practice, yet many medical students face challenges in achieving statistical proficiency. While attitudes, anxiety, and self-efficacy are known to influence learning, the sequential pathways through which they interact remain unclear. This study examines a …

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Hybrid Heuristic-Based Multi-UAV Route Planning for Time-Dependent Data Collection

P.-J. Wan, Shukang Wang, Gangyan Xu, Yuying Long et autres

Unmanned Aerial Vehicle (UAV) has been increasingly adopted for IoT data collection in large-scale scenarios that are with less or even no network coverage. Efficient UAV route planning is a vital part of such a UAV-based data collection process, which is recognized …

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Protein-centric omics integration analysis identifies candidate plasma proteins for multiple autoimmune diseases

Yingxuan Chen, Shuai Liu, Weiming Gong, Ping Guo et autres

Abstract It remains challenging to translate the findings from genome-wide association studies (GWAS) of autoimmune diseases (AIDs) into interventional targets, presumably due to the lack of knowledge on how the GWAS risk variants contribute to AIDs. In addition, current immunomodulatory drugs for …

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Association between rheumatoid arthritis and autoimmune thyroid disease: evidence from complementary genetic methods

Xue Liu, Jie Yuan, Xinhui Wang, Mulin Tang et autres

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Visual Redundancy Removal of Composite Images via Multimodal Learning

Wuyuan Xie, Shukang Wang, Rongchen Zhang, Miaohui Wang

Composite images are generated by combining two or more different photographs, and their content is typically heterogeneous. However, existing unimodal visual redundancy prediction methods are difficult to accurately model the complex characteristics of this image type. In this paper, we investigate the …

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Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach

Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang et autres

Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems. However, most existing JND approaches only focus on a single modality, and rarely consider the complementary …

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Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach

Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang et autres

Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems. However, most existing JND approaches only focus on a single modality, and rarely consider the complementary …

CoNet: Efficient Network Regression for Survival Analysis in Transcriptome-Wide Association Studies—With Applications to Studies of Breast Cancer

Jiayi Han, Liye Zhang, Ran Yan, Tao Ju et autres

Transcriptome-wide association studies (TWASs) aim to detect associations between genetically predicted gene expression and complex diseases or traits through integrating genome-wide association studies (GWASs) and expression quantitative trait loci (eQTL) mapping studies. Most current TWAS methods analyze one gene at a time, …

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Role of the Gut-Brain Axis in the Shared Genetic Etiology Between Gastrointestinal Tract Diseases and Psychiatric Disorders

Weiming Gong, Ping Guo, Yuanming Li, Lu Liu et autres

Importance: Comorbidities and genetic correlations between gastrointestinal tract diseases and psychiatric disorders have been widely reported, with the gut-brain axis (GBA) hypothesized as a potential biological basis. However, the degree to which the shared genetic determinants are involved in these associations underlying …

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Protein-Centric Omics Integration Analysis Highlights the Heterogeneity Among Multiple Autoimmune Diseases

Yingxuan Chen, Shuai Liu, Weiming Gong, Ping Guo et autres

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Multi-UAV Route Planning for Data Collection from Heterogeneous IoT Devices

Shukang Wang, Yuying Long, Yaoming Zhou, Gangyan Xu

IoT devices are widely adopted in various scenarios to realize real-time data collection. However, it is challenging to efficiently collect the sensing data when IoT devices are physically distributed in remote areas. This paper proposes to use Unmanned Aerial Vehicles (UAVs) to …

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