The Evalution to the Comprehensive Competitiveness of Industry Clusters and its Industrial Upgrading: an investigation to the non-weaven cluster in Pengchang town of Xiantao city in Hubei province

Almost all industry clusters where the competitive advantage is the low cost of labor and natural resources are facing the problem of clusters’ upgrading and path controlling in the global value chain. In this paper, a non-woven cluster in Pengchang town of Xiantao city in Hubei province was chosen to be a key research target. The problems in this cluster can reflect the common characteristics of the labor-intensive clusters in China. After evaluating the mature degree and potential threatens of Pengchang cluster, a viewpoint of re-establishing competitive advantage, as well as the thinking way of making industry policies from the view of supplying generic technology was put forward. Keywords: industry clusters, generic technology, cooperative innovation Résumé Les groupes industriels de notre pays, développés grâce aux avantages de la main-d’oeuvre et des ressources naturelles, confrontent tous les problème de la progression dans la chaîne de valeur industrielle mondiale et de l’augmentation de la force de contrôle. L’auteur a choisi le groupe industriel de la toile non-tissée de Pengchang comme objet d’étude, parce que ses problème apparus dans son développement sont représentatifs dans notre pays. Après avoir évalué son niveau de développement et les dangers latents, l’auteur propose de remettre en valeur ses avandages. De plus il avance, sous l’angle de l’alimentation de la techique générale du groupe, l’idée d’élaborer des politiques correspondantes. Mots-clés : groupe industriel, technique générale, coopération et innovation 摘 要 中國利用勞動力和自然資源優勢而發展起來的產業集群都面臨在全球產業價值鏈中的升級和集群路徑控制力的提升問題。本文選擇了湖北仙桃市彭場鎮無紡布產業集群作為重點研究對象，這個產業集群發展中的問題在中國具有一定的代表性。在對此產業集群的發展成熟度和潛在威脅進行評估的基礎上，提出了重塑其競爭優勢的觀點，並從集群共性技術供應這個角度提出了制定相應產業政策的思路。 關鍵詞：產業集群；共性技術；合作創

Effectiveness of WeChat-Group-Based Parental Health Education in Preventing Unintentional Injuries Among Children Aged 0-3: Randomized Controlled Trial in Shanghai

BACKGROUND: Unintentional injuries to children are a major public health problem. The online social media is a potential way to implement health education for caregivers in online communities. Using WeChat, a free and popular social media service in China, this study evaluated the effectiveness of social online community-based parental health education in preventing unintentional injuries in children aged 0-3. METHODS: We recruited 365 parents from two community health centers in Shanghai and allocated them into intervention and control groups randomly. Follow-up lasted for one year. The intervention group received and followed their WeChat group and a WeChat official account for dissemination of reliable medical information. The control group received only the WeChat group. RESULTS: Between the intervention and control groups, changes in unintentional injuries (OR = 1.71, 95% CI: 1.02-2.87, P = .04), preventability (β = 0.344, 95% CI: 0.152-0.537, P \u3c .001), daily supervision behavior (β = 0.503, 95% CI: 0.036-0.970, P = .04), and behaviors for preventing specific injuries (β = 2.198, 95% CI: 1.530-2.865, P \u3c .001) were significantly different, and change in first-aid skills for treating a tracheal foreign body were nearly significant (P = .06). CONCLUSIONS: The WeChat-group-based parental health education can reduce the occurrence of unintentional child injuries by improving parents\u27 skills, beliefs, and behaviors. Online social communities promote health education and reduce unintentional injuries among children. TRIAL REGISTRATION: ChiCTR1900020753. Registered on January 17, 2019

Parents\u27 Attitudes as Mediators Between Knowledge and Behaviours in Unintentional Injuries at Home of Children Aged 0-3 in Shanghai, Eastern China: A Cross-Sectional Study

Objective: Parental behaviours are important in preventing unintentional injury at home among young children. Previous research showed an inconsistent relationship between knowledge and behaviours, indicating that the mechanisms may vary for different behaviours. This study aimed to examine the mediating roles of different attitudes in the mechanism of knowledge acting on different behaviours. Design: Cross-sectional study. Setting: Eastern China Participants: Participants were recruited using stratified community-based sampling. A total of 488 parents of children aged 0–3 years participated in the study and 476 (97.5%) valid questionnaires were recovered. Primary outcome measures: Parents’ knowledge, attitudes (including injury attribution, preventability and responsibility) and behaviours (including supervision behaviours, risky behaviours and providing a safe home environment). Results: The results of mediation analysis showed that the mediator variables were different for different behaviours and that all associations were positive. Parents’ knowledge (β 0.19, 95% CI 0.13 to 0.24) and attitude of injury attribution (β 0.37, 95% CI 0.21 to 0.46) were directly associated with risky behaviours. Attitude of preventability was directly associated with parents’ supervision behaviour (β 0.27, 95% CI 0.14 to 0.40). Parents’ attitude of preventability mediated the positive association between knowledge, attitudes of injury attribution and responsibility, and supervision behaviours, as well as providing a safe home environment. In addition, the occurrence of child injuries at home was directly associated with home environment (β −0.41, 95% CI −0.82 to −0.01). Conclusions: The current findings confirm that attitudes play varying mediating roles between knowledge and different behaviours. An important recommendation is that parents’ attitudes, especially towards preventability and responsibility, need to be considered when health providers develop health education programmes targeted at improving parental supervision behaviours and providing a safe home environment

Discovery of the nest of the yellow jacket Vespula structor (Smith) (Hymenoptera, Vespidae) from China with description of its immature stages

Data on the nest structure, morphology of all stages and behaviour have contributed to the phylogenetic and taxonomic studies of social vespids. Two underground nests of Vespula structor (Hymenoptera, Vespidae, Vespinae) were discovered in China. For the first time, the morphology of all the stages, and the nests are described in detail and illustrated. It is additional evidence supporting the recent conclusion that synonymized Vespula gongshanensis with V. structor. The status of Vespula structor within both the genus Vespula and the vulgaris-group are briefly discussed

Label-free quantitative proteomic analysis of molting-related proteins of Trichinella spiralis intestinal infective larvae

International audienceAbstractMolting is a key step for body-size expansion and environmental adaptation of parasitic nematodes, and it is extremely important for Trichinella spiralis growth and development, but the molting mechanism is not fully understood. In this work, label-free LC–MS/MS was used to determine the proteome differences between T. spiralis muscle larvae (ML) at the encapsulated stage and intestinal infective larvae (IIL) at the molting stage. The results showed that a total of 2885 T. spiralis proteins were identified, 323 of which were differentially expressed. These proteins were involved in cuticle structural elements, regulation of cuticle synthesis, remodeling and degradation, and hormonal regulation of molting. These differential proteins were also involved in diverse intracellular pathways, such as fatty acid biosynthesis, arachidonic acid metabolism, and mucin type O-glycan biosynthesis. qPCR results showed that five T. spiralis genes (cuticle collagen 14, putative DOMON domain-containing protein, glutamine synthetase, cathepsin F and NADP-dependent isocitrate dehydrogenase) had significantly higher transcriptional levels in 10 h IIL than ML (P < 0.05), which were similar to their protein expression levels, suggesting that they might be T. spiralis molting-related genes. Identification and characterization of T. spiralis molting-related proteins will be helpful for developing vaccines and new drugs against the early enteral stage of T. spiralis

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Anti-Attack Scheme for Edge Devices Based on Deep Reinforcement Learning

Internet of Things realizes the leap from traditional industry to intelligent industry. However, it makes edge devices more vulnerable to attackers during processing perceptual data in real time. To solve the above problem, we use the zero-sum game to build the interactions between attackers and edge devices and propose an antiattack scheme based on deep reinforcement learning. Firstly, we make the kNN-DTW algorithm to find a sample that is similar to the current sample and use the weighted moving mean method to calculate the mean and the variance of the samples. Secondly, to solve the overestimation problem, we develop an optimal strategy algorithm to find the optimal strategy of the edge devices. Experimental results prove that the new scheme improves the payoff of attacked edge devices and decreases the payoff of attackers, thus forcing the attackers to give up the attack