A5061240612- Colorectal Cancer Surgical Treatments
- Advanced Graph Neural Networks
- Complex Network Analysis Techniques
- Data Management and Algorithms
- Graph Theory and Algorithms
- Colorectal and Anal Carcinomas
- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Treatments and Studies
- Caching and Content Delivery
- Blockchain Technology Applications and Security
- Advanced Graph Theory Research
- Web Data Mining and Analysis
- Medical Imaging Techniques and Applications
- Human Mobility and Location-Based Analysis
- Astro and Planetary Science
- Gastric Cancer Management and Outcomes
- Peer-to-Peer Network Technologies
- Cancer Cells and Metastasis
- Advanced Radiotherapy Techniques
- Topic Modeling
- Cancer Genomics and Diagnostics
- Recommender Systems and Techniques
- Algorithms and Data Compression
- Advanced X-ray and CT Imaging
- Genetic factors in colorectal cancer
Beijing Institute of Petrochemical Technology
2024-2025
Beijing Institute of Technology
2000-2024
Shandong University of Technology
2024
Henan Agricultural University
2024
Nanjing Medical University
2011-2023
Peking Union Medical College Hospital
2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
Dali University
2021-2023
Beijing Haidian Hospital
2023
Northern Jiangsu People's Hospital
2023
With the increasing availability of moving-object tracking data, use this data for route search and recommendation is increasingly important. To end, we propose a novel parallel split-and-combine approach to enable by locations (RSL-Psc). Given set routes, places visit O, threshold θ, retrieve composed sub-routes that (i) has similarity O no less than θ (ii) contains minimum number sub-route combinations. The resulting functionality targets broad range applications, including planning...
Massive amount of data that contain spatial, textual, and temporal information are being generated at a high scale. These spatio-temporal documents cover wide range topics in local area. Users interested receiving popular terms from published with specified region. We consider the Top-k Spatial-Temporal Term (ST2) Subscription. Given an ST2 subscription, we continuously maintain up-to-date top-k most over stream documents. The subscription takes into account both frequency recency term...
Community search that finds only the communities pertaining to query input has been widely studied from simple graphs attributed graphs. However, a significant limitation of previous studies is they all require nodes, which makes it difficult for users specify exact queries if are unfamiliar with queried graph. To address this issue, in paper we study novel problem keyword-centric community (KCCS) over In contrast prior studies, no but keywords, need be specified discover relevant...
We have developed an empirical and effective set of criteria, based on the Two Micron All Sky Survey (2MASS) colors, to select candidate classical T Tauri stars (CTTSs). This provides a useful tool study young stellar population in star-forming regions. Here we present our analysis bright-rimmed clouds (BRCs) B35, B30, IC 2118, LDN 1616, 1634, Ori East show how massive interact with molecular trigger star formation. Our results support radiation-driven implosion model, which ionization...
This study aimed to investigate the effects of COVID-19 on prevalence acute stress disorder and subsequent career planning among healthcare students. A cross-sectional survey was conducted 1158 students across five medical universities in February 2020. Acute assessed using Stanford Stress Response Questionnaire. Further data regarding knowledge, individual behaviours, occupational choices, were collected. Based results Questionnaire, divided into high-risk low-risk groups for disorder. The...
Recommender systems across many Internet services have become a critical part of online businesses, as consumers would refer to them before making decisions. However, the lack explicit ratings for items on makes it challenging capture user preferences and item characteristics. Both academia industry drawn attention rating predications fundamental problem in recommendation systems. With emergence social networks, recommender been proposed utilize relationship between users alleviate data...
Blockchain has received great attention in academia and industry due to its decentralization immutability. From the perspective of transaction processing, blockchain is a distributed shared ledger database with characteristics decentralization, traceability, transparency. These features ensure security blockchain’s reliability. However, because network requires complex consensus verification between users, it causes problems such as high cost data exchange low system throughput. Such are...
One-class novelty detection is to identify anomalous instances that do not conform the expected normal instances. In this paper, Generative Adversarial Networks (GANs) based on encoder-decoder-encoder pipeline are used for and achieve state-of-the-art performance. However, deep neural networks too over-parameterized deploy resource-limited devices. Therefore, Progressive Knowledge Distillation with GANs (P-KDGAN) proposed learn compact fast networks. The P-KDGAN a novel attempt connect two...
Temporal graphs are ubiquitous. Mining communities that bursting in a period of time is essential for seeking real emergency events temporal graphs. Unfortunately, most previous studies on community mining networks ignore the patterns communities. In this paper, we study problem graph. We propose novel model, called ( l , δ)-maximal core, to represent Specifically, an core subgraph which each node has average degree no less than δ segment with length l. To compute first develop dynamic...
A Directed Acyclic Graph (DAG)-based blockchain with its inherent parallel structure can potentially significantly improve the throughput performance over conventional blockchains. Such a improvement be further enhanced through concurrent transaction processing. This, however, brings new challenges in concurrency control design that there is an increased number of reads and writes to same address DAG-based blockchain, which leads considerable rise potential conflicts. Therefore, one critical...
Triosephosphate isomerase (TPI) is an enzyme that functions in plant energy production, accumulation, and conversion. To understand its function maize, we characterized a maize TPI mutant, zmtpi4. In comparison to the wild type, zmtpi4 mutants showed altered ear development, reduced kernel weight starch content, modified granule morphology, amylose amylopectin content. Protein, ATP, pyruvate contents were reduced, indicating ZmTPI4 was involved glycolysis. Although subcellular localization...
Searching tables from poorly maintained data lakes has long been recognized as a formidable challenge in the realm of management. There are three pivotal tasks: keyword-based, joinable and unionable table search, which form backbone tasks that aim to make sense diverse datasets, such machine learning. In this demo, we propose LakeCompass, an end-to-end prototype system maintains abundant tabular data, supports all above search with high efficacy, well serves downstream ML modeling. To be...
A strongly connected component (SCC) is a maximal subgraph of directed graph G in which every pair nodes are reachable from each other the SCC. With such property, general can be represented by acyclic DAG contracting an SCC to node DAG. In many real applications that need pattern matching, topological sorting, or reachability query processing, best way deal with its representation. Therefore, finding all SCCs critical operation. The existing in-memory algorithms based on depth first search...
Angiogenesis is fundamentally important to the pathogenesis of clear cell renal carcinoma (ccRCC). We investigated association between variations genes related angiogenesis and risk ccRCC. In a case-control study 859 ccRCC patients 1004 cancer-free subjects, we genotyped 24 potentially functional single nucleotide polymorphisms (SNPs) in seven angiogenesis-related (HIF1A, EPAS1, VEGFA, VEGFR1, VEGFR2, VEGFR3 PDGFRB) using TaqMan or Snapshot method. Unconditional logistic regression, adjusted...
Based on a long-term field investigation chigger mites in southwest China from 2001 to 2019, the present study analyzed infestation and distribution of Chevrieri's mouse (
Summary Background The cockroach is a major source of indoor allergens, which cause perennial rhinitis and asthma. Per 7 one the allergens from American cockroach, eliciting IgE reaction in over 50% sera allergic individuals. However, actions pathogenesis diseases remain poorly understood. Objective aim study was to investigate effects on expression protease‐activated receptors (PARs) murine mast cells release T‐helper type 2 (Th2) cytokines these cells. Methods gene cloned expressed...
A recent genome-wide association study of renal cell carcinoma (RCC) in European population has identified genetic variants the regions 2p21 (rs7579899), 11q13.3 (rs7105934) and 12q24.31 (rs4765623) conferred susceptibility to RCC. In our study, we assessed whether these polymorphisms are also associated with RCC risk a Chinese population. We genotyped using TaqMan method their associations case–control 710 patients histologically confirmed 760 cancer-free controls. Normal tissues adjacent...