Yulei Chen¹, Zhaojun Chen^1,2, Shichao Wang¹, Yang Hang¹, Jianpeng Guo^1,*

International Journal of Mental Health Promotion, Vol.26, No.4, pp. 303-315, 2024, DOI:10.32604/ijmhp.2024.046863

Abstract Social-Emotional Competency (SEC), regarded as a critical psychological resource for individuals to adapt to social environments, is an effective protective factor for students’ mental health, impacting their future success and well-being. Analyzing the impact of SEC on university students’ mental health can offer valuable insights for nurturing talents with healthy psychological and physical development. Based on data from two large-scale surveys of Chinese university students, this study designed two comprehensive Multiple Mediation Models involving SEC, stress, coping strategies, and stress reaction to explore the pathway of emotion nurturing mentality. Study 1 utilized a parallel mediation model to examine the relationships… More >

Yanjing Cao¹, Chenchen Xu^1,2, Qi Li¹, Shan Lu^1,2,*, Jing Xiao^1,*

International Journal of Mental Health Promotion, Vol.26, No.4, pp. 261-269, 2024, DOI:10.32604/ijmhp.2024.043729

Abstract Background: Valid and reliable measures of depressive symptoms are crucial for understanding risk factors, outcomes, and interventions across rural and urban settings. Despite this need, the longitudinal invariance of these measures over time remains understudied. This research explores the structural components of the Center for Epidemiological Studies Depression Scale (CES-D) and examines its consistency across various living environments and temporal stability in a cohort of Chinese teenagers. Method: In the initial phase, 1,042 adolescents furnished demographic details and undertook the CES-D assessment. After a three-month interval, 967 of these participants repeated the CES-D evaluation. The study employed Confirmatory factor analysis… More >

Qi Lu^1,2, Longfei Jin², Cuiling Tong³, Feng Liu², Bei Huang², Dejian Zhang^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 661-679, 2024, DOI:10.32604/phyton.2024.049733

Abstract A Plant Biostimulant is any substance or microorganism applied to plants to enhance nutrition efficiency, abiotic stress tolerance, and/or crop quality traits, regardless of its nutrient content. The application of Plant biostimulants (PBs) in production can reduce the application of traditional pesticides and chemical fertilizers and improve the quality and yield of crops, which is conducive to the sustainable development of agriculture. An in-depth understanding of the mechanism and effect of various PBs is very important for how to apply PBs reasonably and effectively in the practice of crop production. This paper summarizes the main classification of PBs; The growth… More >

Fenglan Wang^#, Zhenyuan Cai^#, Zhimei Li, Shilong Zhang, Honghui Luo, Qing Wu, Hanhan Xia, Yanhong Guo^*

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 819-830, 2024, DOI:10.32604/phyton.2024.049150

Abstract FLOWERING LOCUS T (FT) is an important factor for integrating flowering signals through the photoperiod pathway, which significantly promotes flowering. Most chrysanthemum varieties are short-day plants, sensitive to the photoperiod, which limits their ornamental and annual production supply. In this study, we aim to analyze the nutrients and flowering-related genes of chrysanthemums with different photoperiod types and to clone and verify the function of the flowering-related gene CmFT. We found that the formation of floral buds requires the accumulation of starch while consuming soluble sugars and the expression patterns of flowering-related genes GIGANTEA (GI), CONSTANS (CO), and FT in C.morifolium… More >

Jiaqi Lang¹, Mingyan Ye¹, Ya Luo¹, Yueheng Wang¹, Zhifen Shi^1,2, Xiaotian Kong^1,3, Xuan Li¹, Nong Zhou^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 789-806, 2024, DOI:10.32604/phyton.2024.049088

Abstract This study aimed to examine the effects of inoculating Fritillaria taipaiensis P.Y.Li leaves with different strains of potassium-solubilizing bacteria (KSB), or combinations thereof, focusing on aspects of photosynthesis and physiological and biochemical characteristics. At present, some studies have only studied the rhizosphere microbial community characteristics of F. taipaiensis and have not discussed the effects of different microbial species on the growth promotion of F. taipaiensis. This paper will start from the perspective of potassium-solubilizing bacteria to conduct an in-depth study. Seed cultivation commenced at the base with three different KSBs in early October 2022. The growth of F. taipaiensis leaves… More >

Lin Wang¹, Juan Zhao², Hu Song³, Xiaolong Xu^4,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1105-1135, 2024, DOI:10.32604/cmc.2024.048688

Abstract In smart classrooms, conducting multi-face expression recognition based on existing hardware devices to assess students’ group emotions can provide educators with more comprehensive and intuitive classroom effect analysis, thereby continuously promoting the improvement of teaching quality. However, most existing multi-face expression recognition methods adopt a multi-stage approach, with an overall complex process, poor real-time performance, and insufficient generalization ability. In addition, the existing facial expression datasets are mostly single face images, which are of low quality and lack specificity, also restricting the development of this research. This paper aims to propose an end-to-end high-performance multi-face expression recognition algorithm model suitable… More >

Zhanfeng Wang¹, Lisha Yao^2,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1659-1677, 2024, DOI:10.32604/cmc.2024.048304

Abstract Convolutional neural networks struggle to accurately handle changes in angles and twists in the direction of images, which affects their ability to recognize patterns based on internal feature levels. In contrast, CapsNet overcomes these limitations by vectorizing information through increased directionality and magnitude, ensuring that spatial information is not overlooked. Therefore, this study proposes a novel expression recognition technique called CAPSULE-VGG, which combines the strengths of CapsNet and convolutional neural networks. By refining and integrating features extracted by a convolutional neural network before introducing them into CapsNet, our model enhances facial recognition capabilities. Compared to traditional neural network models, our… More >

Hala AlShamlan^*, Halah AlMazrua^*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 675-694, 2024, DOI:10.32604/cmc.2024.048146

Abstract In this study, our aim is to address the problem of gene selection by proposing a hybrid bio-inspired evolutionary algorithm that combines Grey Wolf Optimization (GWO) with Harris Hawks Optimization (HHO) for feature selection. The motivation for utilizing GWO and HHO stems from their bio-inspired nature and their demonstrated success in optimization problems. We aim to leverage the strengths of these algorithms to enhance the effectiveness of feature selection in microarray-based cancer classification. We selected leave-one-out cross-validation (LOOCV) to evaluate the performance of both two widely used classifiers, k-nearest neighbors (KNN) and support vector machine (SVM), on high-dimensional cancer microarray… More >

Jiao Wang, Bin Wu^*, Hongying Zhang

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 143-160, 2024, DOI:10.32604/cmc.2023.046011

Abstract Deep multi-view subspace clustering (DMVSC) based on self-expression has attracted increasing attention due to its outstanding performance and nonlinear application. However, most existing methods neglect that view-private meaningless information or noise may interfere with the learning of self-expression, which may lead to the degeneration of clustering performance. In this paper, we propose a novel framework of Contrastive Consistency and Attentive Complementarity (CCAC) for DMVsSC. CCAC aligns all the self-expressions of multiple views and fuses them based on their discrimination, so that it can effectively explore consistent and complementary information for achieving precise clustering. Specifically, the view-specific self-expression is learned by… More >

ANDI ZHAO^1,2,#, YUE WANG^3,#, ZIJIN WANG^1,2, QING SHAO^1,2, QI GONG^1,2, HUI ZHU^1,2, SHIYA SHEN^1,2, HU LIU^1,2,*, XUEJUAN CHEN^1,2,*

Oncology Research, Vol.32, No.5, pp. 983-998, 2024, DOI:10.32604/or.2024.045972

Abstract Numerous studies have characterized the critical role of circular RNAs (circRNAs) as regulatory factors in the progression of multiple cancers. However, the biological functions of circRNAs and their underlying molecular mechanisms in the progression of uveal melanoma (UM) remain enigmatic. In this study, we identified a novel circRNA, circ_0053943, through re-analysis of UM microarray data and quantitative RT-PCR. Circ_0053943 was found to be upregulated in UM and to promote the proliferation and metastatic ability of UM cells in both in vitro and in vivo settings. Mechanistically, circ_0053943 was observed to bind to the KH1 and KH2 domains of insulin-like growth… More > Graphic Abstract