The Construction of an Action-Speech Feature-Based School Violence Recognition Algorithm and Occupational Therapy Education Model for Adolescents.

This paper constructs an algorithm for youth school violence recognition and an occupational therapy education model for victims through the extraction of action speech features. For the characteristics of violent actions and daily actions, action features in time and frequency domains are extracted and action categories are recognized by BP neural network; for complex actions, it is proposed to decompose complex actions into basic actions to improve the recognition rate; then, LDA dimensionality reduction algorithm is introduced for the problem of the high complexity of algorithm due to high dimensionality of features, and the feature dimensionality is reduced to 8 dimensions by LDA dimensionality reduction algorithm, which reduces the system running time by about 51% and improves the accuracy of violent action recognition by 3.3% while ensuring the overall performance of the system. The LDA dimensionality reduction algorithm reduces the number of features to 8 dimensions, which reduces the running time of the system by 51%, increases the accuracy rate of violent action recognition by 3.3%, and increases the recall rate of violent action recognition by 8.86% while ensuring the overall performance of the system. Based on the classical D-S theory, we proposed an improved D-S evidence fusion algorithm by modifying the original evidence model with a new probability distribution function and constructing new fusion rules, which can solve the fusion conflict problem well. The recall rate for violent actions is increased to 90.0%, thus reducing the missed alarm rate of the system.

Arbuscular mycorrhizal fungi alleviate phosphorus limitation by reducing plant N:P ratios under warming and nitrogen addition in a temperate meadow ecosystem.

Global change apart from ecosystem processes also influences the community structure of key organisms, such as arbuscular mycorrhizal fungi (AMF). We conducted a 3-year experiment where we suppressed with benomyl mycorrhiza to understand how AMF alter the plant community structure under warming and nitrogen (N) addition. The elemental content and foliar tissue stoichiometry of the dominant species Leymus chinensis and the subordinate species Puccinellia tenuiflora were studied along with soil nutrient stoichiometries. Overall, N addition enhanced plant N: phosphorus (P) ratios at a greater level than experimental warming did. Under global change conditions, AMF symbionts significantly increased soil available P concentrations, promoted plant P absorption and decreased the plant N:P ratios. AMF alleviate P limitation by reducing plant N:P ratios. Our results highlight that the negative influence of global change on plant productivity might cancel each other out through the additive effects of AMF and that global change will increase the dependency of plants on their mycorrhizal symbionts.

Drivers of the decoupling indicator between the economic growth and energy-related CO2 in China: A revisit from the perspectives of decomposition and spatiotemporal heterogeneity.

As China becomes the world's largest country for carbon emissions, it becomes one of China's major tasks to seek a path of coordinated development between the environment and the economy. Decoupling analysis is a significant method for analysing the relationship between economic growth and carbon emissions. This paper studies the changes and causes of decoupling index at two levels. At the national level, this paper decomposes the decoupling of carbon emissions from GDP into three parts. Then, the Laspeyers method is adopted to decompose the contribution of each part. At the regional level, this paper decomposes the decoupling index into eight influencing factors, and employs Geographically Temporally Weighted Regression (GTWR) to investigate the spatial and temporal heterogeneity of the influencing factors in each region. The following conclusions are generated: (1) At the national level, decoupling of carbon emissions from GDP consists of weak decoupling and expansive coupling. (2) At the national level, the decoupling effect of carbon emissions from fossil energy is an important negative driver for index changes of carbon emissions decoupled from GDP. The decoupling effect of total energy consumption from GDP is an important positive driver for index changes of carbon emissions decoupled from GDP. However, the decoupling effect of fossil energy from total energy consumption is a minimal positive driver. (3) At the regional level, decoupling of carbon emissions from GDP consists of weak decoupling, expansive coupling, and expansive negative decoupling in most years. (4) At the regional level, each influencing factor shows spatial and temporal heterogeneity based on GTWR. In terms of policy implications, central and western regions should increase the degree of openness to the outside world and strengthen the rectification of high-pollution and high-emission enterprises. Meanwhile, it's important to accelerate the industrialisation process and reduce excessive dependence on fossil fuels such as coal.

A Comparative Analysis of Residential Energy Consumption in Urban and Rural China: Determinants and Regional Disparities.

Residential energy consumption (REC) has become increasingly important in constructing an energy-saving and environment-friendly society in China. The main purpose of this study is to provide a more in-depth analysis of the determinants of REC from an urban-rural segregation perspective, and quantify the contributions of individual determinants to the regional disparities of REC. Based on the extended STIRPAT (the stochastic impacts by regression on population, affluence, and technology) model, seemingly unrelated regression (SUR) estimation is employed to examine the impacts of various determinants of urban REC per capita (URECP) and rural REC per capita (RRECP) in a sample of China's 30 provinces over the period 2007⁻2016. Then, following the results of SUR, this paper tries to explore the reasons for interprovincial disparities of URECP and RRECP by using the Shapley value decomposition. The empirical results show that income level and heating lead to an increase in URECP, while other factors, including the share of natural gas, average temperature, child dependency ratio and gross dependency ratio, significantly decrease URECP. In terms of RRECP, it is shown that old-age dependency ratio, income level and the share of coal consumption positively influence RRECP, while average temperature has a negative effect on RRECP. Specially, the effect of gross dependency ratio on RRECP is positive, indicating the non-working-age population causes more energy use than the working-age population in rural areas. According to the Shapley decomposition, rather than social-economic variables, climate and heating factors contribute the most to the interprovincial differences in URECP. Furthermore, it is found that income level is the most important factor accounting for inter-provincial differences in RRECP. The findings of this research are of great interest, not only to scholars in REC-related fields, but also to decision makers.

High-fat-diet-induced obesity upregulates the expression of lymphoid chemokines and promotes the formation of gastric lymphoid follicles after Helicobacter suis infection.

Helicobacter suis colonizes the stomachs of a variety of animals, including humans, and is more likely than other Helicobacter species to induce gastric mucosa-associated lymphoid tissue lymphoma. Obesity is a low-grade chronic inflammatory state in which the induction of a chemokine network contributes to a variety of diseases. However, the effect of obesity on the development of gastric MALT in the presence of H. suis infection remains unclear. Here, we reveal that high-fat-diet-induced obesity upregulates the expression of lymphoid chemokines in the stomach and accelerates the H. suis infection-induced formation of gastric lymphoid follicles, potentially via a mechanism that involves the activation of the nuclear factor kappa B (NF-κB) signaling pathway. These findings provide novel insight into the pathogenesis of obesity-related diseases, especially those induced by Helicobacter infection.

Saccharomyces boulardii administration can inhibit the formation of gastric lymphoid follicles induced by Helicobacter suis infection.

Helicobacter suis has a greater tendency to induce gastric mucosa-associated lymphoid tissue lymphoma compared with other Helicobacter species in humans and animals. Saccharomyces boulardii has been established as an adjunct to H. pylori eradication treatment, but the effect of S. boulardii administration alone on Helicobacter infection remains unclear. Here, we found that S. boulardii administration effectively decreased the bacterial load of H. suis and inhibited the formation of lymphoid follicles in the stomach post-infection. The levels of H. suis-specific immunoglobulin A (IgA) and secretory IgA in the gastric juice and small intestinal secretions and the production of mouse ß-defensin-3 in the small intestinal secretions were significantly increased by S. boulardii administration at 12 weeks after H. suis infection. In addition, feeding with S. boulardii inhibited the expression of inflammatory cytokines and lymphoid follicle formation-related factors after H. suis infection. These results suggested that S. boulardii may be useful for the prevention and treatment of Helicobacter infection-related diseases in humans.

Hyperuricemia and risk of nonalcoholic fatty liver disease: a systematic review and meta-analysis.

BACKGROUND: Previous studies have suggested a possible association between hyperuricemia and nonalcoholic fatty liver disease (NAFLD), but the risk of NAFLD in individuals with hyperuricemia had not been fully quantified. A systematic review and meta-analysis of relevant studies was carried out to estimate the influence of hyperuricemia on the risk of NAFLD. METHODS: PubMed, Embase, Web of Science, and Wanfang databases were searched for cohort or cross-sectional studies assessing the association between hyperuricemia and NAFLD. Relative risks (RRs) with 95% confidence intervals (95% CIs) were pooled using a random-effects model to estimate the impact of hyperuricemia on the risk of NAFLD. RESULTS: Thirteen studies from 12 articles were finally included in the meta-analysis. There were a total of 117,712 participants and 28,446 (24.2%) NAFLD cases. Individuals with hyperuricemia had an obviously increased risk of NAFLD compared with those without hyperuricemia (RR=1.79, 95% CI 1.55-2.07, P<0.001). Increased risk of NAFLD was obviously associated with hyperuricemia in both men (RR=1.26, 95% CI 1.15-1.37, P<0.001) and women (RR=2.01, 95% CI 1.58-2.56, P<0.001). Subgroup analyses further identified the robustness of the association between hyperuricemia and NAFLD. CONCLUSION: Hyperuricemia is associated with an increased risk of NAFLD in Asian populations. Further prospective cohort studies are needed to assess the impact of hyperuricemia on the risk of NAFLD in Western countries.