Jiahui Wang

ORCID: 0000-0002-7997-7177
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Research Areas
  • Wastewater Treatment and Nitrogen Removal
  • Microbial Fuel Cells and Bioremediation
  • Methane Hydrates and Related Phenomena
  • Geology and Paleoclimatology Research
  • Climate change and permafrost
  • Microbial Community Ecology and Physiology
  • Cryospheric studies and observations
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Genomics and Chromatin Dynamics
  • Satellite Communication Systems
  • Geological and Geochemical Analysis
  • earthquake and tectonic studies
  • Arctic and Russian Policy Studies
  • Bioinformatics and Genomic Networks
  • Bipolar Disorder and Treatment
  • Underwater Acoustics Research
  • Plant Molecular Biology Research
  • Hydrogels: synthesis, properties, applications
  • Mollusks and Parasites Studies
  • Metabolomics and Mass Spectrometry Studies
  • Constructed Wetlands for Wastewater Treatment
  • Aeolian processes and effects
  • Ubiquitin and proteasome pathways
  • Ammonia Synthesis and Nitrogen Reduction
  • Geological Modeling and Analysis

Tongde Hospital of Zhejiang Province
2025

University of Chinese Academy of Sciences
2024

Bengbu Medical College
2024

Beijing Information Science & Technology University
2024

Fudan University
2024

Beijing University of Technology
2023-2024

Nanjing Forestry University
2022-2024

Tianjin University of Science and Technology
2024

Nanjing University of Chinese Medicine
2024

Zhejiang University
2024

We demonstrate a facile and universal strategy in the fabrication of dual-cross-linked (DC) single network hydrogels with high toughness, "nonswellability", rapid self-healing, versatile adhesiveness based on polymer–tannic acid (TA) multiple hydrogen bonds. Two widely used hydrogels, physically cross-linked poly(vinyl alcohol) chemically polyacrylamide, have been transformed to TA-based DC by dipping corresponding aerogels into TA solution. The second cross-link via polymer–TA bonds...

10.1021/acs.macromol.7b02653 article EN Macromolecules 2018-02-20

Abstract Tough hydrogels, polymeric network structures with excellent mechanical properties (such as high stretchability and toughness), are emerging soft materials. Despite their remarkably features, tough hydrogels exhibit two flaws (freezing around the icing temperatures of water drying under arid conditions). Inspired by cryoprotectants (CPAs) used in inhibition biological samples, a versatile straightforward method is reported to fabricate extreme anti‐freezing, non‐drying CPA‐based...

10.1002/ange.201803366 article EN Angewandte Chemie 2018-04-15

Abstract Motivation: The 3D structure of the genome plays a critical role in regulating gene expression. Recent progress mapping technologies for chromatin interactions has led to rapid increase this kind interaction data. This trend will continue as research burgeoning field intensifies. Results: We describe 4DGenome database that stores data compiled through comprehensive literature curation. currently covers both low- and high-throughput assays, including 3C, 4C-Seq, 5C, Hi-C, ChIA-PET...

10.1093/bioinformatics/btv158 article EN Bioinformatics 2015-03-18

Abstract Background and objectives Comprehensive analysis of multi-omics data is crucial for accurately formulating effective treatment plans complex diseases. Supervised ensemble methods have gained popularity in recent years analysis. However, existing research based on supervised learning algorithms often fails to fully harness the information from unlabeled nodes overlooks latent features within among different omics, as well various associations features. Here, we present a novel...

10.1186/s12864-024-09985-7 article EN cc-by BMC Genomics 2024-01-22

Abstract Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in nucleus. However, accurately identifying from chromatin data remains a challenge computational biology. Here, we present Sub-Compartment Identifier (SCI), an algorithm that uses graph embedding followed by unsupervised learning to predict using Hi-C data. We find network topological centrality and clustering performance of SCI sub-compartment predictions are superior...

10.1038/s41467-020-14974-x article EN cc-by Nature Communications 2020-03-03

Diabetic cardiomyopathy (DCM) is a chronic disease caused by diabetes mellitus, which recognized as worldwide challenging disease. This study aimed to investigate the role and potential mechanism of knocking down NACHT-, LRR- PYD domains-containing protein 3 (NLRP3), an inflammasome associated with onset progression various diseases, on high glucose or -induced cardiac cells pyroptosis ferroptosis, two regulated non-necrosis cell death modalities discovered recent years. In present study,...

10.1186/s12872-024-04010-x article EN cc-by BMC Cardiovascular Disorders 2024-07-10

Abstract Soil salinization is a major abiotic factor threatening rapeseed yields and quality worldwide, yet the adaptive mechanisms underlying salt resistance in are not clear. Therefore, this study aimed to explore differences growth potential, sodium (Na + ) retention different plant tissues, transport patterns between salt‐tolerant (HY9) salt‐sensitive (XY15) genotypes, which cultivated Hoagland's nutrient solution either with or without of 150 mM NaCl stress. The results showed that...

10.1111/ppl.14460 article EN Physiologia Plantarum 2024-07-01

<title>Abstract</title> <bold>Background</bold> This study aims to explore the application of multiparametric MRI (mp-MRI) based radiomics in evaluating perineural invasion (PNI) status rectal cancer. <bold>Methods</bold> A retrospective analysis was conducted on clinical and data from 423 cancer patients confirmed by surgical pathology across two centers. total 343 Center 1 were split into a training set an internal validation (in-vad) 8:2 ratio, while 80 2 served as independent external...

10.21203/rs.3.rs-5906666/v1 preprint EN cc-by Research Square (Research Square) 2025-01-31

Human neurons function over an entire lifetime, yet the molecular mechanisms which perform their functions and protecting against neurodegenerative disease during aging are still elusive. Here, we conducted a systematic study on human brain by using weighted gene correlation network analysis (WGCNA) method to identify meaningful modules or representative biomarkers for aging. Significantly, 19 distinct were detected based dataset GSE53890; among them, six related feature of highly preserved...

10.3389/fnagi.2018.00259 article EN cc-by Frontiers in Aging Neuroscience 2018-08-27

Abstract Aims The study aimed to assess brain metabolite differences in the medial prefrontal cortex (mPFC) between acute and euthymic episodes of bipolar disorder (BD) with both mania depression over a 6‐month medication treatment period. Methods We utilized 1 H‐MRS technology levels 53 individuals BD (32 depressive phase, 21 manic phase) 34 healthy controls (HCs) at baseline. After 6 months treatment, 40 subjects underwent follow‐up scan state. Metabolite levels, including N‐acetyl...

10.1111/cns.70048 article EN cc-by CNS Neuroscience & Therapeutics 2024-09-01

Accurate and efficient forecasting of energy consumption is a crucial prerequisite for effective planning policymaking. The BP neural network has been widely used in forecasting, machine learning, various other fields due to its nonlinear fitting ability. In order improve the prediction accuracy network, this paper introduces concept forecast lead time establishes mathematical model accordingly. Prior training input layer data are preprocessed based on model. results when not considering...

10.3390/su16219332 article EN Sustainability 2024-10-27

Underwater acoustic technology is essential for ocean observation, exploration and exploitation, its development based on an accurate predication of underwater wave propagation. In shallow sea environments, the geoacoustic parameters, such as seabed structure, sound speeds, densities, speed attenuations in layers, would significantly affect propagation characteristics. To obtain more inversion results these this study presents method using waveguide characteristic impedance Bayesian...

10.3389/fmars.2023.1104570 article EN cc-by Frontiers in Marine Science 2023-01-20

Abstract In the context of big data, traditional detection algorithms can no longer meet today’s needs. For sensors, there are shortcomings such as long working times, high complexity, and false rates. This paper proposes a new type sensor an algorithm for detecting anomalies in sensors based on Flink. The network senses monitoring targets area real time transmits them to end users through wireless communication. Then, fusion rule target networks is studied. computed using Flink predicted...

10.2478/amns-2024-2134 article EN cc-by Applied Mathematics and Nonlinear Sciences 2024-01-01

This study aimed to elucidate the scope and nature of adverse events (AEs) associated with Yasmin.

10.1016/j.ejogrb.2024.07.048 article EN cc-by-nc-nd European Journal of Obstetrics & Gynecology and Reproductive Biology 2024-07-27
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