A5103000934- Genomics and Phylogenetic Studies
- Quantum Information and Cryptography
- Gut microbiota and health
- Quantum Computing Algorithms and Architecture
- Quantum Mechanics and Applications
- Probiotics and Fermented Foods
- Diet and metabolism studies
- Distributed and Parallel Computing Systems
- Drug-Induced Hepatotoxicity and Protection
- Antimicrobial Peptides and Activities
- Medicinal Plants and Bioactive Compounds
- Bacteriophages and microbial interactions
- Advanced Optical Sensing Technologies
- Liver Disease Diagnosis and Treatment
- Cardiovascular Health and Disease Prevention
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Robotics and Sensor-Based Localization
- Liver Disease and Transplantation
- Dietary Effects on Health
- Bone health and treatments
- Neural Networks and Reservoir Computing
- Medicinal Plants and Neuroprotection
- Computability, Logic, AI Algorithms
- Bone Metabolism and Diseases
Jiangnan University
2023-2025
Hangzhou Medical College
2024-2025
Shanghai Center for Brain Science and Brain-Inspired Technology
2021-2024
Shanghai Institute for Science of Science
2021-2024
Fudan University
2019-2024
Luto Research (United Kingdom)
2024
Baidu (China)
2024
University of Hong Kong
2024
State Key Laboratory of Genetic Engineering
2021-2023
Changchun University of Science and Technology
2023
Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine-learning-based approach predict antimicrobial peptides (AMPs) within global microbiome and leverage vast dataset of 63,410 metagenomes 87,920 prokaryotic genomes from environmental host-associated habitats create AMPSphere, comprehensive catalog comprising 863,498 non-redundant peptides, few which match existing databases. AMPSphere provides insights into evolutionary origins including by...
Metagenomic binning is the step in building metagenome-assembled genomes (MAGs) when sequences predicted to originate from same genome are automatically grouped together. The most widely-used methods for reference-independent, operating de novo and enable recovery of previously unsampled clades. However, they do not leverage knowledge existing databases. Here, we introduce SemiBin, an open source tool that uses deep siamese neural networks implement a semi-supervised approach, i.e. SemiBin...
Abstract Small open reading frames (smORFs) shorter than 100 codons are widespread and perform essential roles in microorganisms, where they encode proteins active several cell functions, including signal pathways, stress response, antibacterial activities. However, the ecology, distribution role of small global microbiome remain unknown. Here, we construct a microbial smORFs catalog (GMSC) derived from 63,410 publicly available metagenomes across 75 distinct habitats 87,920 high-quality...
Summary Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine learning-based approach predict prokaryotic antimicrobial peptides (AMPs) by leveraging vast dataset of 63,410 metagenomes and 87,920 microbial genomes. This led creation AMPSphere, comprehensive catalog comprising 863,498 non-redundant peptides, majority which were previously unknown. observed that AMP production varies habitat, with animal-associated samples displaying highest...
The gut microbiota is reportedly involved in neurodegenerative disorders, and exploration of differences the different cognitive status could provide clues for early detection intervention impairment. Here, we used data from Taizhou Imaging Study (N = 516), a community-based cohort, to compare overall structure at species level through metagenomic sequencing, explore associations with cognition. Interestingly, bacteria capable producing short-chain fatty acids (SCFAs), such as Bacteroides...
Aims: We aimed to examine the associations of four extracranial artery indicators with cerebral small vessel disease (CSVD) and its total burden.
Abstract Objectives An altered microbiota, which can be described quantitatively, has been identified as playing a pivotal role in host vascular physiology, and it may contribute to various diseases. The aim of this study was better understand the gut microbiota physiology subclinical elderly population, investigate how lifestyle affects composition further impact pathogenesis Methods We performed population-based faecal metagenomic over 569 asymptomatic individuals rural China. association...
The incidence of cognitive disorders is increasing globally, with a reported prevalence over 50 million individuals affected, and current interventions offer limited efficacy. This study investigates the effects sunflower oil fortified lecithin, vitamin D, A on scopolamine-induced dysfunction in mice explores underlying mechanisms. disorders, such as Alzheimer’s disease, yearly, Therefore, this research aims to evaluate improvement three added functional factors learning memory impairments,...
Osteoporosis is a complex bone disease influenced by numerous factors. Previous studies have found that some metabolites are related to mineral density (BMD). However, the associations between and BMD under influence of genes lifestyle not been fully investigated.We analyzed effect on synergistic lifestyle, using data 797 participants aged 55-65 years from Taizhou Imaging Study. The cumulative sum method was used calculate polygenic risk score SNPs, healthful plant-based diet index summarize...
Vehicle-to-everything (V2X) is a popular topic in the field of Autonomous Driving recent years. Vehicle-infrastructure cooperation (VIC) becomes one important research area. Due to complexity traffic conditions such as blind spots and occlusion, it greatly limits perception capabilities single-view roadside sensing systems. To further enhance accuracy provide better information vehicle side, this paper, we constructed holographic intersections with various layouts build large-scale...
Quantum neural networks (QNNs) have become a leading paradigm for establishing near-term quantum applications in recent years. The trainability issue of QNNs has garnered extensive attention, spurring demand comprehensive analysis order to identify viable solutions. In this work, we propose perspective that characterizes the based on their locality. We prove entire variation range loss function via adjusting any local gate vanishes exponentially number qubits with high probability broad...
Liver fibrosis is a chronic liver disease that brings heavy economic burden to the world and has attracted global attention. Although pathological mechanisms treatment strategies of have been extensively studied, there are currently no effective targeted drugs for prevention in clinical practice. Therefore, it imperative seek develop fibrosis. Magnoflorine (MAG) natural product with multiple pharmacological activities. Thus, this study, we will explore effect MAG on alleviating mice its...
Abstract Background Defects in DNA damage repair (DDR) pathways lead to genomic instability and oncogenesis. DDR deficiency is prevalent esophageal squamous cell carcinoma (ESCC), but the effects of alterations on mutational processes tumor immune microenvironment ECSS remain unclear. Methods Whole‐exome transcriptome sequencing data 45 ESCC samples from Taizhou, China, were used identify variations, gene expression modulation pathways, abundance tumor‐infiltrating cells. Ninety‐six cases...
Exploring quantum applications of near-term devices is a rapidly growing field information science with both theoretical and practical interests. A leading paradigm to establish such variational algorithms (VQAs). These use classical optimizer train parameterized circuit accomplish certain tasks, where the circuits are usually randomly initialized. In this work, we prove that for broad class random circuits, variation range cost function via adjusting any local gate within vanishes...
This innovative study investigates the effects of high-protein diets (milk protein) on circadian rhythm hepatic lipid metabolism. We aimed to understand how interventions regulate biological clock genes, maintain metabolism balance, and affect antioxidant levels in vivo. divided 120 SPF-class C57BL/6J mice into control, high-fat/low-protein (HF-LP), high-fat/high-protein (HF-HP) groups. Mice were sacrificed during active (2 a.m. 8 a.m.) rest periods p.m. p.m.). In HF-LP group, anabolic...
Abstract Small open reading frames (smORFs) shorter than 100 codons are widespread and perform essential roles in microorganisms, where they encode proteins active several cell functions, including signal pathways, stress response, antibacterial activities. However, the ecology, distribution role of small global microbiome remain unknown. Here, we constructed a microbial smORFs catalogue (GMSC) derived from 63,410 publicly available metagenomes across 75 distinct habitats 87,920 high-quality...
Objectives To investigate the value of liver stiffness in rats with various degrees hepatic sinusoidal obstruction syndrome (HSOS) induced by monocrotaline comparing histopathologic findings. Methods Seventy were randomly divided into a control group (n = 10), low‐dose 30), and high‐dose 30). After successful modeling, shear wave velocity (SWV) Virtual Touch tissue imaging quantification (Siemens Medical Solutions, Mountain View, CA) alanine aminotransferase (ALT), aspartate (AST), total...
Cerebral microbleeds (CMBs) are more prevalent in Asian populations, and have been associated with increased risk of stroke, dementia mortality. So far, factors for CMBs other than hypertension were merely known. Previous studies shown that polymorphisms at aldehyde dehydrogenase 2 (ALDH2) gene independently the stroke. Its role CMBs, however, remains unclear. This study aimed to evaluate associations ALDH2 Chinese elderly.Using bio-specimen data collected baseline survey population-based...
ABSTRACT Metagenomic binning is the step in building metagenome-assembled genomes (MAGs) when sequences predicted to originate from same genome are automatically grouped together. The most widely-used methods for reference-independent, operating de novo and allow recovery of previously unsampled clades. However, they do not leverage knowledge existing databases. Here, we propose SemiBin, an open source tool that uses neural networks implement a semi-supervised approach, i.e. SemiBin exploits...
Wave-particle duality, the cornerstone of quantum mechanics, illustrates essential trade-offs between two complementary aspects systems. Captured by Bohr's complementarity principle, wave-particle duality relation indicates that perfect path discrimination in a multipath interferometer obliterates interference patterns and vice versa. In this work, from perspective coherence resource manipulation, we uncover novel distinguishability ensembles mutually orthogonal pure states. We demonstrate...