Emotion recognition based on multi-channel electroencephalograph (EEG) signals is becoming increasingly attractive. However, the conventional methods ignore spatial characteristics of EEG signals, which also contain salient information related to emotion states. In this paper, a deep learning framework multiband feature matrix (MFM) and capsule network (CapsNet) proposed. framework, frequency domain, characteristics, band are combined construct MFM. Then, CapsNet model introduced recognize...

Fusing multichannel neurophysiological signals to recognize human emotion states becomes increasingly attractive. The conventional methods ignore the complementarity between time domain characteristics, frequency and time-frequency characteristics of electroencephalogram (EEG) cannot fully capture correlation information different channels. In this paper, an integrated deep learning framework based on improved belief networks with glia chains (DBN-GCs) is proposed. framework, member DBN-GCs...

Recently, much attention has been attracted to automatic emotion recognition based on multi-channel electroencephalogram (EEG) signals, with the rapid development of machine learning methods. However, traditional methods ignore correlation information between different channels, and cannot fully capture long-term dependencies contextual EEG signals. To address problems, this paper proposes a deep belief-conditional random field (DBN-CRF) framework which integrates improved belief networks...

Cognitive disorders such as Alzheimer's disease (AD) are highly prevalent and place heavy burdens on society. Neuroinflammation is a driver of cognitive impairment, with no effective drugs. Indole 3-propionic acid (IPA) tryptophan metabolite mainly produced byClostridium sporogenes, which exhibits multiple functions, including antioxidant, anti-inflammatory, antiaging, neuroprotective properties. However, the restorative effects molecular mechanisms IPA in impairment remain to be...

Emotion recognition based on multichannel electroencephalogram (EEG) signals is a key research area in the field of affective computing. Traditional methods extract EEG features from each channel extensive domain knowledge and ignore spatial characteristics global synchronization information across all channels. This paper proposes feature extraction method that encapsulates into gray images. The maximal coefficient (MIC) for channels was first measured. Subsequently, an MIC matrix...

Researchers have increasingly considered approaches to learning (ATL) a key indicator of school readiness. Our study purposed examine the impacts parental warmth on children’s learning, and mediating role self-efficacy, as well moderating teacher-child closeness in this relationship. Using whole-group sampling method, 414 Chinese children aged 5–6 years participated research together with their parents teachers. Parents those were asked fill out person questionnaires warmth, self-efficacy....

The high turnover rate of kindergarten teachers has become a global problem. Job satisfaction is regarded as contributing factor that can reduce intention. We sought to examine the relationship between work-related use information and communication technologies after hours (W_ICTs) teachers' job satisfaction, well mediating role emotional exhaustion moderating perceived organizational support in link W_ICTs exhaustion. A sample 434 participants completed questionnaires on W_ICTs, Results...

During the indexing process of traditional search engine, web pages become a list terms, but single term cannot represent rich content pages, which makes information retrieval methods mainly based on terms matching often result in depressed precision. This paper proposes novel query expansion technique that has phrases as its unit. Phrases typically have higher and smaller degree ambiguity than their constituent words, therefore concepts expressed text more accurately terms. method extracts...

// Jianyu Wang 1 , Zhiwei Sun Yongli Liu Liangsheng Kong Shixia Zhou Junlin Tang and Hongmei Rosie Xing Laboratory of Translational Cancer Stem Cell Research, Institute Life Sciences, Chong Qing Medical University, Chongqing, China Correspondence to: Xing, email: rosiexing@163.com Keywords: cancer stem cells, symmetric division, asymmetric lung, BrdU Received: March 13, 2017      Accepted: May 22, Published: June 2017 ABSTRACT Characterization the stem-like...

Clustering time series data is of great significance since it could extract meaningful statistics and other characteristics. Especially in biomedical engineering, outstanding clustering algorithms for may help improve the health level people. Considering scale shifts series, this paper, we introduce two incremental fuzzy based on a Dynamic Time Warping (DTW) distance. For recruiting Single-Pass Online patterns, our handle large-scale by splitting into set chunks which are processed...

Because traditional fuzzy clustering validity indices need to specify the number of clusters and are sensitive noise data, we propose a index for clustering, named CSBM (compactness separateness bipartite modularity), based on modularity. enhances robustness by combining intraclass compactness interclass can automatically determine optimal clusters. In order estimate performance CSBM, carried out experiments six real datasets compared with other prominent indices. Experimental results show...

In this paper, we focus on the multi-view clustering problem. A novel framework, called subspace based tensor Schatten-p norm (MVSC-TSP), is proposed for task. our method, norm, which singular value decomposition, utilized to explore global low-rank structure of self-representations. Since 0<; p<; 1, using relax multi-rank more effective than commonly used nuclear norm. Furthermore, present a new generalized soft thresholding algorithm solve minimization Based this, non-convex optimal...

Abstract Cervical cancer (CC) is one of the most common cancers among women with high recurrence rates all over world. Recently, molecular mechanism CC has been gradually uncovered in accumulating reports. This study aimed to investigate function and upstream regulation pyruvate dehydrogenase kinase 4 (PDK4) cells, which was verified as an oncogene several cancers. Through RT‐qPCR assay, we discovered that PDK4 highly expressed cells. Then, it demonstrated assays facilitated cell...

Social isolation during the COVID-19 pandemic has greatly increased probability of Internet dependence. This study sought to examine relation between future time perspective and college students' dependence, as well mediating role boredom proneness moderating effect self-control in link dependence.A questionnaire survey was carried out among students from two universities China. A sample 448 participants varying freshmen seniors completed questionnaires on perspective, self-control.Results...

In this paper, a novel EEG emotion recognition method based on residual graph attention neural network is proposed. The constructs three-dimensional sparse feature matrix according to the relative position of electrode channels, and inputs it into extract high-level abstract features containing spatial information. At same time, adjacency representing connection relationship channels constructed, time-domain multi-channel are modeled using graph. Then, utilized learn intrinsic between...

Symmetric cell division (SD) and asymmetric (ASD) were the unique characteristics of stem cells mechanisms underlying renewal.While recent studies have identified presence SD ASD in lung cancer (CSCs), regulating state not been elucidated, mostly due to lack stable cellular models CSC research.In this study, interaction between Zeb1, an Epithelial-Mesenchymal Transition (EMT) factor shown regulate CSCs self-renew, Numb, which regulates normal neural was investigated using mouse Lewis...

This paper investigates the problem of synchronization fractional-order complex-variable chaotic systems (FOCCS) with unknown complex parameters. Based on inequality and stability theory for complex-valued system, a new scheme is presented adaptive FOCCS The proposed not only provides method to analyze system but also significantly reduces complexity computation analysis. Theoretical proof simulation results substantiate effectiveness scheme.

Silver (Ag) nanoparticles were synthesized by a facile route in the presence of oleic acid and n-propylamine. It was shown that average primary size as-synthesized Ag approximately 10 nm surface capped with monolayer surfactants content 19.6%. Based on nanoparticles, polyoxymethylene (POM)/Ag nanocomposites prepared. The influence non-isothermal crystallization behavior POM investigated differential scanning calorimetry (DSC). Jeziorny, Jeziorny-modified Avrami, Ozawa, Liu Mo, Ziabicki...

Spinal cord injury (SCI) leads to permanent loss of motor and sensory function due the complex mechanisms external microenvironment internal neurobiochemistry that restrict neuronal plasticity axonal regeneration. Chemokine CXCL12 was verified in regulating development central nervous system (CNS) repairing CNS disease. In present study, downregulated spinal after SCI. SCI also induced gliosis synapse. Intrathecal treatment promoted functional recovery by inducing formation connections...