Explore the vast range of titles available.

In this study, 615 kindergarten teacher participants completed a survey comprising teacher work stress, psychological capital, social support, and work-related well-being questionnaires. Results showed that participants' occupational stress not only directly affected their work-related well-being, but their work-related well-being was also affected through the mediating role of psychological capital. The level of participants' social support also moderated the relationship between their psychological capital and work-related well-being. Results have practical implications for kindergarten teachers in mainland China such that they can be enlightened on how to avoid a stressful work environment, embrace work-related physical and mental well-being, and maintain their psychological capital.

The characteristics of a series direct current (DC) arc-fault including both electrical and thermal parameters were investigated based on an arc-fault simulator to provide references for multi-parameter electrical fire detection method. Tests on arc fault behavior with three different initial circuit voltages, resistances and arc gaps were conducted, respectively. The influences of circuit conditions on arc dynamic image, voltage, current or power were interpreted. Also, the temperature rises of electrode surface and ambient air were studied. The results showed that, first, significant variations of arc structure and light emitting were observed under different conditions. A thin outer burning layer of vapor generated from electrodes with orange light was found due to the extremely high arc temperature. Second, with the increasing electrode gap in discharging, the arc power was shown to have a non monotonic relationship with arc length for constant initial circuit voltage and resistance. Finally, the temperature rises of electrode surface caused by heat transfer from arc were found to be not sensitive with increasing arc length due to special heat transfer mechanism. In addition, temperature of ambient air showed a large gradient in radial direction of arc.

Mangroves are valuable contributors to coastal ecosystems, and remote sensing is an indispensable way to obtain knowledge of the dynamics of mangrove ecosystems. Due to the similar spectral features between mangroves and other land cover types, challenges are posed since the accuracy is sometimes unsatisfactory in distinguishing mangroves from other land cover types with traditional classification methods. In this paper, we propose a classification method named the multi-feature joint sparse algorithm (MF-SRU), in which spectral, topographic, and textural features are integrated as the decision-making features, and sparse representation of both center pixels and their eight neighborhood pixels is proposed to represent the spatial correlation of neighboring pixels, which can make good use of the spatial correlation of adjacent pixels. Experiments are performed on Landsat Thematic Mapper multispectral remote sensing imagery in the Zhangjiang estuary in Southeastern China, and the results show that the proposed method can effectively improve the extraction accuracy of mangroves.

The aim of this study was to investigate whether secondary science teachers had different styles of technology adoption for technology-based assessments (TBAs), and whether teachers with different adoption styles showed different patterns of beliefs, attitudes and intentions regarding TBAs. By combining the variable-centered and person-centered approaches to explore science teachers’ adoption styles and associated beliefs, this study sheds light on how to provide needed supports and resources for teachers who adopt TBAs differently. We first employed latent class analysis to identify science teachers’ TBA adoption styles and then utilized multigroup path analysis to examine the beliefs, attitudes, and intentions within each style. A total of 494 secondary school science teachers from northern Taiwan participated in this study. A validated questionnaire about teachers’ TBA use and related technology beliefs was used to collect data. The latent class analysis revealed three different adoption styles: Technology Rich Adopter, Technology Selective Adopter, and Technology Minimalist Adopter. The path analyses of the three groups showed that while Technology Selective and Technology Minimalist Adopters’ intentions to use TBAs could be predicted by their attitudes, perceived behavioral control, and subjective norms, Technology Rich Adopters’ intentions were not associated with subjective norms. Additionally, whereas the same set of significant attitudinal antecedents were found among the three groups, the effects of antecedent variables on perceived behavioral control and subjective norms varied. Highlights Revealed three different adoption styles of TBAs among secondary science teachers. Multigroup path analysis was used to examine the beliefs and intention of teachers. Technology Rich Adopters pay more attention to attitude, but not subjective norms. Selective Adopters were tended to consider all factors about TBAs at the same time. Technological minimalist adopters are dominantly influenced by their self-efficacy.

This work aims to analyze the relationship between root growth, mitogen-activated protein kinase (MAPK), auxin signaling, and cell cycle-related gene expression in cadmium (Cd)-stressed rice. The role of MAPKs in auxin signal modification and cell cycle-related gene expression during root growth was investigated by disrupting MAPK signaling using the MAPKK inhibitor PD98059 (PD). Treatment with Cd caused a significant accumulation of Cd in the roots. A Cd-specific probe showed that Cd is mainly localized in the meristematic zone and vascular tissues. Perturbation of MAPK signaling using PD significantly suppressed root system growth under Cd stress. The transcription of six MAPK genes was inhibited by Cd compared to the control. Detection using DR5-GUS transgenic rice showed that the intensity and distribution pattern of GUS staining was similar in roots treated with PD or Cd, whereas in Cd plus PD-treated roots, the GUS staining pattern was similar to that of the control, which indicates a close association of MAPK signaling with auxin homeostasis under control and Cd stress conditions. The expression of most key genes of auxin signaling, including OsYUCCA , OsPIN , OsARF , and OsIAA , and of most cell cycle-related genes, was negatively regulated by MAPKs under Cd stress. These results suggest that the MAPK pathway plays specific roles in auxin signal transduction and in the control of the cell cycle in response to Cd stress. Altogether, MAPKs take part in the regulation of root growth via auxin signal variation and the modified expression of cell cycle-related genes in Cd-stressed rice. A working model for the function of MAPKs in rice root systems grown under Cd stress is proposed.

Arc fault is one of the main inducement of electric fires. Arc Fault Detection Device (AFDD) can detect arc fault effectively in electric fires. Arc fault detection and unhooking standard of AFDD are the key to practical application. In the paper, an arc fault continuous production system was developed, which could count the arc half wave number. Then, combining with the UL1699 standard, ignition probability curve of cotton and unhooking time of various currents intensity were obtained by experiments. The total energy of combustion arcing could be expressed effectively by area of arc current curve. Experiments proved that electric fires would be misjudged or missed only using arc half wave number as AFDD unhooking basis. A self-developed AFDD was tested . The result showed that total protection time of AFDD was the sum of arc half wave cycling number, arc wave identification time and unhooking mechanical operation time. The unhooking mechanical operation time is longest. The total protection time of AFDD depended on the shortest mechanical operation time.

In this study, 615 kindergarten teacher participants completed a survey comprising teacher work stress, psychological capital, social support, and work-related well-being questionnaires. Results showed that participants' occupational stress not only directly affected their work-related well-being, but their work-related well-being was also affected through the mediating role of psychological capital. The level of participants' social support also moderated the relationship between their psychological capital and work-related well-being. Results have practical implications for kindergarten teachers in mainland China such that they can be enlightened on how to avoid a stressful work environment, embrace work-related physical and mental well-being, and maintain their psychological capital.

In this study, 615 kindergarten teacher participants completed a survey comprising teacher work stress, psychological capital, social support, and work-related well-being questionnaires. Results showed that participants' occupational stress not only directly affected their work-related well-being, but their work-related well-being was also affected through the mediating role of psychological capital. The level of participants' social support also moderated the relationship between their psychological capital and work-related well-being. Results have practical implications for kindergarten teachers in mainland China such that they can be enlightened on how to avoid a stressful work environment, embrace work-related physical and mental well-being, and maintain their psychological capital.

The development of urbanization has brought convenience to people, but it has also brought a lot of harmful construction solid waste. The machine vision detection algorithm is the crucial technology for finely sorting solid waste, which is faster and more stable than traditional methods. However, accurate identification relies on large datasets, while the datasets from the field working conditions are scarce, and the manual annotation cost of datasets is high. To rapidly and automatically generate datasets for stacked construction waste, an acquisition and detection platform was built to automatically collect different groups of RGB-D images for instances labeling. Then, based on the distribution points generation theory and data augmentation algorithm, a rapid-generation method for synthetic construction solid waste datasets was proposed. Additionally, two automatic annotation methods for real stacked construction solid waste datasets based on semi-supervised self-training and RGB-D fusion edge detection were proposed, and datasets under real-world conditions yield better models training results. Finally, two different working conditions were designed to validate these methods. Under the simple working condition, the generated dataset achieved an F1-score of 95.98, higher than 94.81 for the manually labeled dataset. In the complicated working condition, the F1-score obtained by the rapid generation method reached 97.74. In contrast, the F1-score of the dataset obtained manually labeled was only 85.97, which demonstrates the effectiveness of proposed approaches.