A5101519000- RNA Research and Splicing
- Neuropeptides and Animal Physiology
- Receptor Mechanisms and Signaling
- Rough Sets and Fuzzy Logic
- EEG and Brain-Computer Interfaces
- Cancer-related molecular mechanisms research
- Graph Labeling and Dimension Problems
- RNA and protein synthesis mechanisms
- Topic Modeling
- Limits and Structures in Graph Theory
- Diverse Aspects of Tourism Research
- Pharmacological Receptor Mechanisms and Effects
- Data Mining Algorithms and Applications
- Advanced Graph Theory Research
- Olfactory and Sensory Function Studies
- Advanced Computational Techniques and Applications
- Retirement, Disability, and Employment
- Emotion and Mood Recognition
- Face and Expression Recognition
- Quality Function Deployment in Product Design
- Alcoholism and Thiamine Deficiency
- Network Traffic and Congestion Control
- Fractal and DNA sequence analysis
- Advanced Algebra and Logic
- Transcranial Magnetic Stimulation Studies
North University of China
2025
Zhejiang University
2024
Shandong University of Traditional Chinese Medicine
2014-2024
Affiliated Hospital of Shandong University of Traditional Chinese Medicine
2021-2024
Peking University
2021-2023
Peking University First Hospital
2021-2023
Jiangxi Normal University
2023
Central China Normal University
2021
North China University of Science and Technology
2019
Zhejiang Normal University
2014-2015
In recent years, automatic emotion recognition renders human–computer interaction systems intelligent and friendly. Emotion based on electroencephalogram (EEG) has received widespread attention many research results have emerged, but how to establish an integrated temporal spatial feature fusion classification method with improved convolutional neural networks (CNNs) utilize the information of different electrode channels improve accuracy in deep learning are two important challenges. This...
The MEMS inertial sensors based on the pedestrian localization system assisted by zero-velocity update (ZUPT) algorithm has gained widespread attention, due to its effective independent in indoor environments. However, realistic test, often appears drift because of long-term error accumulation and limitation suppression traditional algorithms. In this article, full analysis existing constraint-based methods, a multi-condition constrained is proposed, which integrates zero velocity detection...
Sentiment analysis of online reviews is an important task in natural language processing. It has received much attention not only academia but also industry. Data have become source competitive intelligence. Various pretraining models such as BERT and ERNIE made great achievements the processing, lack domain-specific knowledge. Knowledge graphs can enhance representation. Furthermore, knowledge high entity / concept coverage strong semantic expression ability. We propose a sentiment graph...
Purpose The purpose of this paper is to establish a more reasonable evaluation system and model for the development level rural tourism, provides method quantifying regional tourism. Design/methodology/approach This evaluating constructs an index according connotation then calculates weight by entropy method, makes comprehensive grey relational analysis. Taking tourism in 11 cities Jiangxi Province as research object, ranking results were obtained using Findings overall positive, but spatial...
Abstract Introduction Olfactory dysfunction is a common and early sign of many neurodegenerative disorders, but little known about olfactory in Wilson’s disease (WD). We aimed to evaluate function patients with WD identify selective screening odors. Methods measured identification ability 25 healthy controls using the University Pennsylvania Smell Identification Test (UPSIT). Patients were evaluated Global Assessment Scale for (GAS). Cognitive was Mini–Mental State Examination. Results worse...
Electroencephalogram (EEG) has been widely utilized in emotion recognition. Psychologists have found that emotions can be divided into conscious and unconscious emotion. In this article, we explore to classify subliminal (happiness anger) with EEG signals elicited by face stimulation, is select appropriate features emotions. First, multi-scale sample entropy (MSpEn), wavelet packet energy (Ei ), (WpEn) of are extracted. Then, these fed the decision tree improved random forest, respectively....
Planetary gear transmission mechanisms (PGTMs) are widely used in mechanical systems due to their compact structure and high efficiency. To implement the reliability design optimization of a PGTM, novel multi-objective dynamic approach is proposed. First, model established. Furthermore, considering strength degradation gears during service, analysis conducted based on theory nonlinear fatigue damage accumulation. In addition, improve computing efficiency, random forest surrogate particle...
Regulation of proteome diversity by alternative splicing has been widely demonstrated in plants and animals. NAGNAG splicing, which was recently defined as a tissue specific event, results the production two distinct isoforms that are distinguished three nucleotides (NAG) consequence intron proximal or distal to splice site. Since mechanism is not well characterized, tools for identification quantification events remain under-developed. Here we report nagnag, an R-based detection tool,...
We study the list 2-distance coloring of a graph G, and its maximum average degree, denoted mad (G). For Δ(G) = 5, we proved that [Formula: see text], text] ch 2 (G) ≤ 11 if < 3 respectively, where is chromatic number.
The aim was to characterize the effect of penehyclidine hydrochloride, which mediates relaxation guinea-pig isolated gastrointestinal smooth muscle, on muscarinic receptor subtypes.Radioimmune assay used determine cAMP levels in muscle compare selective effects hydrochloride subtypes.The results indicated that relaxing contraction induced by acetylcholine stronger than atropine (based PA2 values). In radioimmune assay, increased content stomach and decreased intestinal but difference not...
NAGNAG alternative splicing plays an essential role in biological processes and represents a highly adaptable system for posttranslational regulation of gene function. impacts myriad processes. Previous studies largely focused on messenger RNA. To the best our knowledge, this is first study testing hypothesis that also operative large intergenic noncoding RNA (lincRNA). The RNA-seq data sets from recent deep sequencing were queried to test hypothesis. human lincRNA was identified while...
Abstract A definition of fuzzy clique in social networks is suggested which overcomes five limitations current definitions. This based on the 0–1 strengths, weighted and strengths are all allowed. The distance such a network defined. node‐clique clique‐clique coefficients suggested. core periphery cliques discussed formally. “cone like” property cores discovered. structures using new definition. “no circle” found. Basic tools related algorithms also discussed. Some examples analyzed to...
The expert system for tractor cab man-machine interface evaluation was developed using Visual C++ and CLIPS that is one of the tools on re-development platform CATIA. structure functions were presented. knowledge expression, reason mechanism design build method base put forward. can be used to evaluate quickly find shortage design. Finally, some improvement suggestions given by system. Experiments carried out a model. results showed could model effectively.
This article provides a quality-improvement framework for discussing the support of employees with disabilities in workplace. Our intent is to ground concept employment setting and shift responsibility supported prac
Datasets can be described by decision tables. In real-life applications, data are usually incomplete and uncertain, which presents big challenges for mining frequent itemsets in imprecise databases. This paper a novel model of approximate using the theory rough sets. With transactional information system constructed on dataset under consideration, table is put forward, then lower upper approximations support available easily computed from indiscernibility relations. Finally,...
Abstract Background First-line rehabilitative strategies to improve motor deficits are based on functional training (physical or occupational therapy), which has been demonstrated facilitate neural reorganisation. Accumulating evidence suggests that non-invasive brain stimulation techniques, such as repetitive TMS (rTMS), may enhance neuroplasticity, thereby facilitating reorganisation and recovery from Parkinson’s disease. Evidence also shows intermittent theta-burst (iTBS) can function...