Research Progress and Trend of School Sport Psychology

The Outline of Healthy China 2030 Plan clearly proposed to develop youth and adolescent physical health intervention plan. School physical education/sports not only plays a major role in promoting a physically active lifestyle among school students, it can also make a significant contribution to the Healthy China 2030 Plan. Previous research has indicated school sport psychology as an important area to provide quality physical education programs. The purpose of this study, therefore, was to examine the research progress and trend of school sport psychology to inform future research practice and identify effective strategies for physical activity participation. All relevant literature on school physical education psychology from 2000 to 2021 were collected from CNKI and WOS databases, a total of 4347 papers were collected. To ensure the accuracy of the research, the inconsistent literature was manually eliminated, and 1642 effective journal papers were finally selected. CiteSpace 5.7.R4 software was used for scientific measurement and visualization analysis. The results suggest that the studies conducted in China mainly focus on higher education with college students as related to exercise/physical activity and mental health, while other countries attempt to develop exploration, validation, and intervention studies among children and adolescents to promote physical activity from psychological perspectives. The results also indicates that interdisciplinary research with sophisticated methodology has become popular in the field of school sport psychology. Meanwhile, the research focuses on the application function, physical education practice, and other aspects. The research frontier mainly manifested in “academic,” “performance,” “psychological capital,” “regression analysis,” “mediating effect,” “Physical Education of Fit Index,” “Intervention,” and related research. Research studies guided by the theoretical frameworks of psychology in physical education have revealed the relationship between psychological constructs and student learning as well as physical activity participation. The results have built a solid foundation for future research. Intervention studies can be conducted from different aspects using effective strategies identified in previous research. To better understand student adaptive behavior with respect to learning and physical activity, a mixed method research design is also recommended for future studies

Controlling Surface-Induced Nanocomposites by Lipoplexes for Enhanced Gene Transfer

Surface-induced biomineralization represents a flexible approach to immobilizing DNA onto biomaterial surfaces for surface-mediated DNA delivery. Immobilized naked DNA is uniformly embedded in thin films of nanocomposites, which limits the internalization of DNA to some cell types, such as neuronal cells. In this study, DNA molecules were initially complexed with liposomes to form lipoplexes. Subsequently, these lipoplexes were immobilized onto a cell culture compatible surface through surface-induced biomineralization. Under all the conditions we examined, lipoplexes were efficiently immobilized onto the surface and formed lipoplex-nanocomposites. We have shown that the size of liposomes and the composition of mineralizing solutions have significant effects on the morphology and topology of nanocomposites and thus the organization and the intracellular levels of DNA. The transgene expression mediated by lipoplex-nanocomposites was greatly enhanced in neuronal cells compared to the immobilized naked DNA

RESEARCH ON THE MOTION RESPONSE OF AQUACULTURE SHIP AND TANK SLOSHING UNDER ROLLING RESONANCE

The double-row and double-chamfered aquaculture tank is a special tank structure of the aquaculture ship. The tank sloshing of this structure is coupled with the hull motion, which has an important impact on the safety of the hull motion. In the present study, research on the tank sloshing and hull motion response of aquaculture ships was conducted based on the model seakeeping and tank sloshing tests in regular waves. The test results were compared with the numerical simulation results of solid loading without sloshing. The results showed that the numerical simulation of the pitch motion was consistent with the amplitude-frequency response curve of the experimental results. Under certain transverse wave conditions, a large discrepancy existed between the amplitude-frequency response curve of the heave motion by the numerical simulation and the test results, and the roll motion differed most from the experimental result. Severe roll resonance occurred when the wave length-ship length ratio was 0.6. The roll motion amplitude was increased by 183.2%. Therefore, compared with aquaculture ships without sloshing, the sloshing of the tank has little effect on the pitch but has a great impact on the roll and heave motions, with the most significant effect on the roll motion

Characterization of Electronic Cigarette Aerosol and Its Induction of Oxidative Stress Response in Oral Keratinocytes.

In this study, we have generated and characterized Electronic Cigarette (EC) aerosols using a combination of advanced technologies. In the gas phase, the particle number concentration (PNC) of EC aerosols was found to be positively correlated with puff duration whereas the PNC and size distribution may vary with different flavors and nicotine strength. In the liquid phase (water or cell culture media), the size of EC nanoparticles appeared to be significantly larger than those in the gas phase, which might be due to aggregation of nanoparticles in the liquid phase. By using in vitro high-throughput cytotoxicity assays, we have demonstrated that EC aerosols significantly decrease intracellular levels of glutathione in NHOKs in a dose-dependent fashion resulting in cytotoxicity. These findings suggest that EC aerosols cause cytotoxicity to oral epithelial cells in vitro, and the underlying molecular mechanisms may be or at least partially due to oxidative stress induced by toxic substances (e.g., nanoparticles and chemicals) present in EC aerosols

E-cigarette aerosols induce unfolded protein response in normal human oral keratinocytes.

Objective: Since the introduction in 2004, global usage of e-cigarettes (ECs) has risen exponentially. However, the risks of ECs on oral health are uncertain. The purpose of this study is to understand if EC aerosol exposure impacts the gene pathways of normal human oral keratinocytes (NHOKs), particularly the unfolded protein response (UPR) pathway. Materials and methods: EC aerosols were generated reproducibly with a home-made puffing device and impinged into the culture medium for NHOKs. DNA microarrays were used to profile the gene expression changes in NHOKs treated with EC aerosols, and the Ingenuity Pathway Analysis (IPA) was used to reveal signaling pathways altered by the EC aerosols. Quantitative PCR was used to validate the expression changes of significantly altered genes. Results: DNA microarray profiling followed by IPA revealed a number of signaling pathways, such as UPR, cell cycle regulation, TGF-β signaling, NRF2-mediated oxidative stress response, PI3K/AKT signaling, NF-κB signaling, and HGF signaling, activated by EC aerosols in NHOKs. The UPR pathway genes, C/EBP homologous protein (CHOP), activating transcription factor 4 (ATF4), X box binding protein 1 (XBP1), and inositol-requiring enzyme 1 alpha (IRE1α) were all significantly up-regulated in EC aerosol-treated NHOKs whereas immunoglobulin heavy-chain binding protein (BIP) and PRKR-like ER kinase (PERK) were slightly up-regulated. qPCR analysis results were found to be well correlated with those from the DNA microarray analysis. The most significantly changed genes in EC aerosol-treated NHOKs versus untreated NHOKs were CHOP, ATF4, XBP1, IRE1α and BIP. Meanwhile, Western blot analysis confirmed that CHOP, GRP78 (BIP), ATF4, IRE1α and XBP1s (spliced XBP1) were significantly up-regulated in NHOKs treated with EC aerosols. Conclusion: Our results indicate that EC aerosols up-regulate the UPR pathway genes in NHOKs, and the induction of UPR response is mediated by the PERK - EIF2α - ATF4 and IRE1α - XBP1 pathways

Metabolic engineering of the L-phenylalanine pathway in Escherichia coli for the production of S- or R-mandelic acid

<p>Abstract</p> <p>Background</p> <p>Mandelic acid (MA), an important component in pharmaceutical syntheses, is currently produced exclusively via petrochemical processes. Growing concerns over the environment and fossil energy costs have inspired a quest to develop alternative routes to MA using renewable resources. Herein we report the first direct route to optically pure MA from glucose via genetic modification of the L-phenylalanine pathway in <it>E. coli</it>.</p> <p>Results</p> <p>The introduction of hydroxymandelate synthase (HmaS) from <it>Amycolatopsis orientalis </it>into <it>E. coli </it>led to a yield of 0.092 g/L S-MA. By combined deletion of competing pathways, further optimization of S-MA production was achieved, and the yield reached 0.74 g/L within 24 h. To produce R-MA, hydroxymandelate oxidase (Hmo) from <it>Streptomyces coelicolor </it>and D-mandelate dehydrogenase (DMD) from <it>Rhodotorula graminis </it>were co-expressed in an S-MA-producing strain, and the resulting strain was capable of producing 0.68 g/L R-MA. Finally, phenylpyruvate feeding experiments suggest that HmaS is a potential bottleneck to further improvement in yields.</p> <p>Conclusions</p> <p>We have constructed <it>E. coli </it>strains that successfully accomplished the production of S- and R-MA directly from glucose. Our work provides the first example of the completely fermentative production of S- and R-MA from renewable feedstock.</p

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network

Graphs consisting of vocal nodes ("the vocal minority") and silent nodes ("the silent majority"), namely VS-Graph, are ubiquitous in the real world. The vocal nodes tend to have abundant features and labels. In contrast, silent nodes only have incomplete features and rare labels, e.g., the description and political tendency of politicians (vocal) are abundant while not for ordinary people (silent) on the twitter's social network. Predicting the silent majority remains a crucial yet challenging problem. However, most existing message-passing based GNNs assume that all nodes belong to the same domain, without considering the missing features and distribution-shift between domains, leading to poor ability to deal with VS-Graph. To combat the above challenges, we propose Knowledge Transferable Graph Neural Network (KT-GNN), which models distribution shifts during message passing and representation learning by transferring knowledge from vocal nodes to silent nodes. Specifically, we design the domain-adapted "feature completion and message passing mechanism" for node representation learning while preserving domain difference. And a knowledge transferable classifier based on KL-divergence is followed. Comprehensive experiments on real-world scenarios (i.e., company financial risk assessment and political elections) demonstrate the superior performance of our method. Our source code has been open sourced.Comment: Paper was accepted by WWW202