A5034614141- Gut microbiota and health
- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Complex Network Analysis Techniques
- Topic Modeling
- Neural dynamics and brain function
- Clostridium difficile and Clostridium perfringens research
- Quantum Computing Algorithms and Architecture
- Advanced Memory and Neural Computing
- Molecular Communication and Nanonetworks
- Quantum Information and Cryptography
- Natural Language Processing Techniques
- Cell Image Analysis Techniques
- Evolutionary Algorithms and Applications
- Opinion Dynamics and Social Influence
- Long-Term Effects of COVID-19
- Machine Learning in Bioinformatics
- Tracheal and airway disorders
- Evolutionary Game Theory and Cooperation
- Genomics and Phylogenetic Studies
- Neural Networks and Applications
- Bone and Dental Protein Studies
- Guidance and Control Systems
- Visual Attention and Saliency Detection
- Molten salt chemistry and electrochemical processes
Tianjin Chengjian University
2025
Hong Kong Baptist University
2015-2024
Zhejiang University
2024
Beijing Institute of Fashion Technology
2024
Integrated Chinese Medicine (China)
2024
Tencent (China)
2023
Tsinghua–Berkeley Shenzhen Institute
2023
Harvard University
2017-2020
Zhengzhou University
2020
Brigham and Women's Hospital
2017-2020
Abstract Although the taxonomic composition of human microbiome varies tremendously across individuals, its gene or functional capacity is highly conserved — implying an ecological property known as redundancy. Such redundancy has been hypothesized to underlie stability and resilience microbiome, but this hypothesis never quantitatively tested. The origin still elusive. Here, we investigate basis for in by analyzing genomic content network a bipartite graph that links microbes genes their...
An articulation point in a network is node whose removal disconnects the network. Those nodes play key roles ensuring connectivity of many real-world networks, from infrastructure networks to protein interaction and terrorist communication networks. Despite their fundamental importance, general framework studying points complex lacking. Here we develop analytical tools study issues pertinent points, e.g. expected number them vulnerability against removal, an arbitrary We find that greedy...
Increasing evidence has shown that fecal microbiota transplantation (FMT) could be a promising treatment option for Crohn's disease (CD). However, the frequency of FMT CD remains unclear. This study aimed to evaluate optimal timing administering second course maintain long-term clinical effects from first patients with CD. Sixty-nine active who underwent twice and benefited were enrolled in this study. Clinical response, stool microbiota, urine metabolome assessed during follow-up. The...
Abstract Within a short period of time, COVID-19 grew into world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention containment the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses transmission around symptom onset. The is calibrated against incubation pairwise statistics during initial outbreaks pandemic outside Wuhan with minimal non-pharmaceutical interventions....
Abstract Respiratory syncytial virus (RSV) is a major cause of lower respiratory tract infections and hospital visits during infancy childhood. Although risk factors for RSV infection have been identified, the role microbial species in only partially known. We aimed to understand impact interactions between nasal microbiome host transcriptome on severity clinical outcomes infection. used 16 S rRNA sequencing characterize infants with RNA interrogate CD4 + T cells obtained from same set...
Recent advancements in Large Vision-Language Models (LVLMs) highlight their ability to integrate and process multi-modal information. However, hallucinations—where generated content is inconsistent with input vision instructions—remain a challenge. In this paper, we analyze LVLMs' layer-wise decoding identify that hallucinations can arise during the reasoning factual information injection process. Additionally, as number of tokens increases, forgetting original prompt may also lead...
Within a short period of time, COVID-19 grew into world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention containment the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses transmission around symptom onset. The is calibrated against incubation pairwise statistics during initial outbreaks pandemic outside Wuhan with minimal non-pharmaceutical interventions. Mathematical...
Large language models (LLMs) like ChatGPT have exhibited remarkable abilities on a wide range of natural processing (NLP) tasks, including various machine translation accomplished during chat. However, these are only accessible through restricted APIs, which creates barriers to new research and advancements in the field. Therefore, we propose ParroT, framework enhance regulate chat based open-source LLMs (e.g., LLaMA), human-written feedback data. Specifically, ParroT reformulates data into...
Abstract The initial transient phase of an emerging epidemic is critical importance for data-driven model building, model-based prediction the trend, and articulation control/prevention strategies. Quantitative models real-world epidemics need to be memory-dependent or non-Markovian, but this presents difficulties data collection, parameter estimation, computation, analyses. In contrast, such do not arise in traditional Markovian models. To uncover conditions under which non-Markovian are...
A bridge in a graph is an edge whose removal disconnects the and increases number of connected components. We calculate fraction bridges wide range real-world networks their randomized counterparts. find that real typically have more than completely counterparts, but they very similar to degree-preserving randomizations. define centrality measure, called bridgeness, quantify importance damaging network. certain large average variance bridgeness compared randomizations other networks....
Although the taxonomic composition of human microbiome varies tremendously across individuals, its gene or functional capacity is highly conserved 1-5 ---implying an ecological property known as redundancy . Such thought to underlie stability and resilience 6,7 , but origin elusive. Here, we investigate basis for in by analyzing genomic content network --- a bipartite graph that links microbes genes their genomes. We show this exhibits several topological features, such nested structure...
As a result of high-throughput protein structure initiatives, over 14,400 structures have been solved by Structural Genomics (SG) centers and participating research groups. While the totality SG data represents tremendous contribution to genomics structural biology, reliable functional information for these proteins is generally lacking. Better predictions will add substantial value already obtained. Our method described herein, Graph Representation Active Sites Prediction Function...
Structural vulnerability of a network can be studied via two key notions in graph theory: articulation points (APs) and bridges, representing nodes edges whose removal will disconnect the network, respectively. Fundamental properties APs bridges classical random networks have been recently. Yet, it is unknown if those still hold quantum networks. Quantum allow for transmission information between physically separated systems. They play very important role computing, communication, sensing....
Our ability to understand and control the emergence of order in swarming systems is a fundamental challenge contemporary science. The standard Vicsek model (SVM) — minimal for self-propelled particles describes large population agents reaching global alignment without need central control. Yet, this takes time not robust noise. In many real-world scenarios, we decentralized protocol guide system (e.g., unmanned vehicles or nanorobots) reach an ordered state prompt noise-robust manner. Here,...
Cooperative diversity using switched combining, incorporating transmit power control (PC), is investigated for wireless body area networks (BANs). Outage probability and switching rate are derived from extensive empirical measurements, along with savings in circuit consumption simple ‘sample-and-hold’ PC conjunction switch-and-examine combining (SwC). Theoretical approximation of the gives a reasonable match analysis. It shown that SwC an attractive method increasing network lifetime,...
Microorganisms are ubiquitous in our world, and they form different communities between organisms the surrounding environment. It is estimated that there more than 108 bacteria a small gram of soil, 1013 human intestine. complex ecosystem formed under interaction mechanisms resource competition, nutrient symbiosis, quorum sensing, horizontal gene transfer. Among them, microbial soil hydrosphere environment play key driving role global chemical cycle carbon, nitrogen other elements. In...
Direction finding cross location is a widely used passive method, featuring omni-direction and fast speed. However, with the increase in station number, false points are seen to be rapidly increased among direction lines. In order accurately locate radiation sources, how eliminate an important issue urgent solved. This paper proposes cluster-based which can obtain estimates of sources without acquiring any prior information about other than azimuth measured by stations. method proves...
Abstract Background Despite the World Health Organization’s declaration of end COVID-19 pandemic, reinfection persists and continues to strain global healthcare system. With emergence most recent variant SARS-CoV-2 named JN.1, retrospective analysis epidemiological characteristics previous cases involving Omicron is essential provide references for preventing caused by ongoing new SARS-Cov-2 variants. Methods This cohort study included 6325 patients infected with during Omicron-dominated...