A5101711521- Cancer-related molecular mechanisms research
- Gene expression and cancer classification
- AI in cancer detection
- Machine Learning in Bioinformatics
- Artificial Intelligence in Healthcare
- Genomics and Phylogenetic Studies
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Plant and Fungal Interactions Research
- Pain Mechanisms and Treatments
- Advanced Computing and Algorithms
- Healthcare Systems and Public Health
- Blind Source Separation Techniques
- Neurotransmitter Receptor Influence on Behavior
- Face and Expression Recognition
- Tensor decomposition and applications
- Biological and pharmacological studies of plants
- Molecular Biology Techniques and Applications
- Music Therapy and Health
- Ginseng Biological Effects and Applications
- Computational Drug Discovery Methods
- Reliability and Maintenance Optimization
- Receptor Mechanisms and Signaling
- Nuts composition and effects
- Hate Speech and Cyberbullying Detection
First Affiliated Hospital of Xiamen University
2024-2025
Tongji University
2023-2025
China Pharmaceutical University
2024
Wenzhou Medical University
2024
Zhejiang Lab
2024
Changchun University of Science and Technology
2024
Medical College of Wisconsin
2022-2023
Ningbo University of Technology
2023
Jilin University
2017-2022
Tianjin Huanhu Hospital
2022
Two-dimensional (2D) material-based single-atom catalysts (SACs) have demonstrated their potential in electrochemical reduction reactions but exploring suitable 2D SACs for the CO2 reaction (CO2RR) by experiments is still a formidable task. In this study, theoretical screening of transition metal (TM)-doped graphitic carbon nitride (g-C3N4) materials as CO2RR was systematically performed based on density functional theory (DFT) calculations. An indicator selective formation one (C1) products...
With the availability of an increasing amount images from Internet and several user-friendly crowd sourcing tools such as Amazon Mechanical Turk (AMT), many large-scale ground level image datasets with semantic annotations have been collected in vision community, they fostered efficient ways to describe content. For example, visual attributes shown promising potentials recognition retrieval. However, scarcity labeled samples earth observation (EO) community (collection through...
Ischemic cerebral infarction is the most prevalent type of stroke, causing significant disability and death worldwide. Transient ischemic attack (TIA) a strong predictor subsequent stroke. Individuals with dysmetabolism, such as hypertension, hypercholesterolemia, diabetes, are at increased risk for (CI) TIA. In resource-limited settings, diagnosing CI TIA can be particularly difficult due to lack advanced imaging specialized expertise. Therefore, we aim develop simple, convenient,...
The advent of big data era has imposed both running time and learning efficiency challenges for the machine researchers. Biomedical OMIC research is one these areas changed biomedical drastically. But high cost production difficulty in participant recruitment introduce paradigm "large p small n" into research. Feature selection usually employed to reduce number features, so that a stable data-independent classification or regression model may be achieved. This study randomly changes first...
Background and Objective: Primary lung cancer is a lethal rapidly-developing type one of the most leading causes deaths. Materials Methods: Statistical methods such as Cox regression are usually used to detect prognosis factors disease. This study investigated survival prediction using machine learning algorithms. The clinical data 28,458 patients with primary cancers were collected from Surveillance, Epidemiology, End Results (SEER) database. Results: indicated that rate women was often...
Enhancers are short genomic regions exerting tissue-specific regulatory roles, usually for remote coding regions. observed in both prokaryotic and eukaryotic genomes, their detections facilitate a better understanding of the transcriptional regulation mechanism. The accurate detection strength evaluation enhancers remain major bioinformatics challenge. Most current studies utilized statistical features fixed-length nucleotide sequences. This study introduces location information each k-mer...
Introduction The exact relationship between long-term shift work (SW) and cognitive impairment (CI) has been poorly understood. effects of the rotating night SW (RNSW) combining daytime recharge (DTR) on function were investigated. Methods A total 920 retired nurses 656 female teachers aged ≥50 years analyzed. Participants who worked at least once per week for 8 hat more than 1 year defined as group, those without a regular nighttime control group. associations among duration, frequency, DTR...
Abstract Encoding of memories, including those associated with prior drug or reward, is thought to take place within distinct populations neurons, termed ensembles. Neuronal ensembles for drug‐ and reward‐seeking have been identified in regions the medial prefrontal cortex, but much our understanding these based on experiments that a single reward‐associated environment measure ensemble encoding over short durations time. In contrast, reward seeking behavior evident across different...
Since long non-coding RNAs (lncRNAs) have involved in a wide range of functions cellular and developmental processes, an increasing number methods been proposed for distinguishing lncRNAs from coding RNAs. However, most the existing are designed animal systems, only few focus on plant lncRNA identification. Different distinct characteristics. It is desirable to develop computational method accurate robust identification lncRNAs. Herein, we present ItLnc-BXE, which utilizes comprehensive...
Aim: Breast cancer histologic grade (HG) is a well-established prognostic factor. This study aimed to select methylomic biomarkers predict breast HGs. Materials & methods: The proposed algorithm BioDog firstly used correlation bias reduction strategy eliminate redundant features. Then incremental feature selection was applied find the features with high HG prediction accuracy. sequential backward elimination employed further refine biomarkers. A comparison existing algorithms were conducted....
A novel facial expression recognition algorithm based on discriminant neighborhood preserving nonnegative tensor factorization (DNPNTF) and extreme learning machine (ELM) is proposed. constraint adopted according to the manifold graph embedding theory. The useful exploit spatial structure prior defined properties. obtained parts-based representations by our vary smoothly along geodesics of data have good property. To guarantee convergence, project gradient method used for optimization. Then...
Breast cancer is one of the most frequently occurring female types and represents a major cause death among women worldwide. heterogeneous in both molecular characteristics clinical outcomes for its different subtypes. High-throughput technologies facilitated fast accumulations multiple Omic data patients. These sources posed computational challenge efficient integrated multi-Omic analysis. The existing studies usually investigated differential representation or machine learning problems...