Metabolic surgery results in greater metabolic benefits in patients who achieve healthy weight.

BACKGROUND: A percentage of total weight loss (%TWL) >20% as the expected weight loss target after metabolic surgery might be insufficient to produce adequate metabolic benefits. OBJECTIVES: This study identified the optimal weight loss target to achieve substantial benefits from metabolic surgery. SETTING: University-affiliated tertiary care center. METHODS: In this retrospective study, participants were categorized into healthy weight (18.5 kg/m2 ≤ body mass index [BMI] < 24 kg/m2), overweight (24 kg/m2 ≤ BMI < 28 kg/m2), and obesity groups (BMI ≥28 kg/m2) according to their BMI 1 year after metabolic surgery. The weight loss and remission of obesity-related comorbidities were evaluated. Ordinal logistic regression analysis was used to identify predictors for achieving healthy weight 1 year postoperatively. RESULTS: Overall, 125 patients (112 sleeve gastrectomies, 13 Roux-en-Y gastric bypasses) were recruited in this study. Forty-two participants achieved healthy weight, 38 were overweight, and 45 had obesity. Type 2 diabetes mellitus and obstructive sleep apnea were relieved in all groups. Individuals who achieved healthy weight showed more improvements in nonalcoholic fatty liver disease, hypertension, and hyperuricemia than those who did not. Preoperative BMI was an independent predictor for the BMI achieved postoperatively, and the optimal cut-off point for achieving healthy weight was 34.9 kg/m2. CONCLUSIONS: Healthy weight was a more stringent target for patients who underwent metabolic surgery than the %TWL. Populations with a preoperative BMI of <34.9 kg/m2 were prone to realize the goal. Additional weight loss interventions could be considered for those with higher preoperative BMIs and enforced within 1 year postoperatively.

Integrating Fundamental Movement Skills and Mathematics in Early Childhood: A Pilot Study.

This project involved a co-design process involving researchers and kindergarten teachers to produce learning activities that integrated fundamental movement skills (FMS) and mathematics. We piloted the co-designed activities (i.e., motor-math program) in a local kindergarten and examined the effects on FMS proficiency, mathematics skills, and accrued physical activity (PA). The participants comprised pupils (N = 39) from two matched kindergarten classes, in which we compared the motor-math program with typical mathematics lessons. All participants wore pedometers to measure their number of steps during class, one day per week. FMS proficiency (i.e., locomotor, object control) and mathematics skills (numeracy, geometry, math problem solving) were measured before and after implementation. Significant improvements in locomotor and object control skills were found only in the pilot group (p < 0.001); there were no differences in the changes in mathematics skills between the pilot and comparison groups. During implementation days, the participants in the pilot group accrued significantly greater step counts (p < 0.001) than those in the comparison group. Participating in the motor-math program appears to have benefits associated with improvements in FMS proficiency and accrued PA time, suggesting a promising potential for integrated activities as a means of PA promotion in kindergarten settings. Future work that examines the effects of the integration of movement with mathematics should consider randomization, greater sample size, and a longer intervention period.

How does China's big data policy affect the digital economy of cities? Evidence from national big data comprehensive pilot zones.

Based on the panel data of 280 cities in China from 2011 to 2019, this paper examines the effects of big data policies on the digital economy development by using the national big data comprehensive pilot zones as a quasi-natural experiment. The findings of this paper are as follows. First, the big data policy significantly promotes China's digital economy development. Second, cities at a higher administrative level receive higher policy benefits than cities at a lower administrative level. Third, technological innovation and human capital are important ways for the big data policy to improve the development of the digital economy. The conclusions of this paper not only help to assess the effectiveness of big data policies and ensure the efficacy of policy implementation, but also provide policy support for local governments to fully explore the value of data elements and grasp the new opportunities for the digital economy development with the help of the pilot zones.

Lactobacillus plantarum LLY-606 Supplementation Ameliorates the Cognitive Impairment of Natural Aging in Mice: The Potential Role of Gut Microbiota Homeostasis.

This work explored the effects of Lactobacillus plantarum LLY-606 (LLY-606) on cognitive function in aging mice. Our findings demonstrated that LLY-606 effectively prolonged the lifespan of mice and improved age-related cognitive impairments. Additionally, our study revealed that supplementation with LLY-606 resulted in the downregulation of inflammatory cytokine levels and the upregulation of antioxidant capacity. Furthermore, probiotic supplementation effectively mitigated the deterioration of the intestinal barrier function in aging mice. Amplicon analysis indicated the successful colonization of probiotics, facilitating the regulation of age-induced gut microbiota dysbiosis. Notably, the functional abundance prediction of microbiota indicated that tryptophan metabolism pathways, glutamatergic synapse pathways, propanoate metabolism pathways, and arginine and proline metabolism pathways were enriched after the LLY-606 intervention. In summary, LLY-606 emerged as a potential functional probiotic capable of influencing cognitive function in aging mice. This effect was achieved through the modulation of gut microbiota, the regulation of synaptic plasticity, and the enhancement of neurotrophic factor levels.

Enterococcus faecium C171: Modulating the Immune Response to Acute Lethal Viral Challenge.

Commensal bacteria modulate acute immune responses to infection in hosts. In this study, Enterococcus faecium C171 was screened and isolated. This strain has similar basic characteristics to the reference probiotic, including strong anti-inflammatory and anti-infective effects. E. faecium C171 inhibits the production of pro-Caspase-1 and significantly reduces the production of interleukin-1ß (IL-1ß) in vitro. These reactions were confirmed using the Transwell system. Live E. faecium C171 mainly exerted an inhibitory effect on acute inflammation, whereas the anti-infective and immune-activating effects were primarily mediated by the E. faecium C171-produced bacterial extracellular vesicles (Efm-C171-BEVs). Furthermore, in the specific pathogen-free (SPF) chicken model, oral administration of E. faecium C171 increased the relative abundance of beneficial microbiota (Enterococcus and Lactobacillus), particularly Enterococcus, the most important functional bacteria of the gut microbiota. E. faecium C171 significantly inhibited the acute inflammatory response induced by a highly virulent infectious disease, and reduced mortality in SPF chickens by 75%. In addition, E. faecium C171 induced high levels of CD3+, CD4-, and CD8- immunoregulatory cells and CD8+ killer T cells, and significantly improved the proliferative activity of T cells in peripheral blood mononuclear cells, and the secretion of interferon-γ. These findings indicate that E. faecium C171 and Efm-C171-BEVs are promising candidates for adjuvant treatment of acute inflammatory diseases and acute viral infections.

A spatial effect study on digital economy affecting the green total factor productivity in the Yangtze River Economic Belt.

With the advent of the Industry 4.0 era, the digital economy (DE) has become a new driver of sustainable development. This paper focuses on DE's green and environmental value. Based on the panel data of 108 cities in the Yangtze River Economic Belt from 2011 to 2019, we evaluated the temporal and spatial evolution of DE and green total factor productivity (GTFP). The spatial Durbin model analyzes the direct and spatial spillover effects of DE on GTFP, the green efficiency change (GEC), and the green technical change (GTC). The results show that the DE maintains a stable growth trend. GTFP and GTC show a similar fluctuating upward trend, while GEC shows a fluctuating downward trend. Both DE and GTFP show a clustering trend of "high in the lower reaches and low in the upper and middle reaches" and a typical center-periphery pattern over time. Second, for the direct effect, DE has a significant positive impact on GTFP, mainly on GTC rather than GEC. The promotion effect is stronger at the new normal stage, in the lower reaches, and the three major urban agglomerations. Third, for the spatial spillover effect, DE has a trickle-down effect on GTFP and GTC and a siphon effect on GEC, more potent at the new normal stage and in the lower reaches. Compared with peripheral cities, DE has significant trickle-down effects on GTFP, GTC, and GEC in the three major urban agglomerations.

Technology integration for young children during COVID-19: Towards future online teaching.

To support young children's learning during the coronavirus 2019 (COVID-19) pandemic, preschool educators in Hong Kong were required to teach with digital technologies. In this study, 1035 educators from 169 preschools reported their views and practices in an online survey, which we examined via multilevel mixed-response analysis and thematic analysis. More than half of the respondents (53%) expected future online teaching to continue, and only 11% of educators believed that parents would reject this form of delivery. Administrators and teaching assistants were more likely than teachers to expect online preschool teaching to continue in the future. In addition, respondents with existing online platform experience, who taught the upper levels of preschool, or incorporated specific teaching practices (eg, after the online lesson, they assessed children and assigned homework tasks), were more likely than others to expect online teaching in the future. Many of these respondents also reported (a) difficulty with engaging their children when online and (b) inadequate support from parents for learning activities, which reduced the respondents' perceived likelihood of future online teaching. Administrators and teaching assistants were more likely than teachers to believe that parents would accept online teaching in the future. Respondents who felt they had inadequate training to teach online, children in families with inadequate technical skills and parents who believed that online lessons harmed children's well-being, were less likely than others to believe that parents would accept online teaching in the future. These educators believed that online learning communities could connect parents and schools and foster interaction that could help align with educator's support for children's learning needs.

Ecopolitical discourse: Authoritarianism or democracy? - Evidence from China.

From the discourse analysis perspective, ecopolitics has experienced a discourse change from authoritarianism to democracy. This study uses theory of authoritarianism and democracy in ecopolitics to explore the impact of authoritarian ecopolitical discourse (AED) and democratic ecopolitical discourse (DED) on environmental quality in China. After analysis using panel data and comparison of three main regions, results suggest a negative relationship between AED of the central government and environmental quality. By contrast, a positive relationship exists between AED of local governments and environmental quality. A positive relationship exists between DED, which measures the proposals of People's Congress deputies and Chinese People's Political Consultative Conference (CPPCC), and environmental quality. Nevertheless, the positive effect of DED is weaker than that of AED. The impact is also different among the regions. Our interpretations are as follows. China's current governance mechanism is a top-down decision-making mechanism, rather than a bottom-up information transmission mechanism. The concentration of power keeps decision-making power and resources away from levels with considerably accurate information and capabilities in problem solving. Therefore, we suggest that governments should change their decision-making process and exert effort to be transparent to the entire society. A bottom-up mechanism of information collection and transmission should be established, such as environmental inspection mechanism and checking on cadres' achievements with green GDP.

Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue.

INTRODUCTION: Fatigue is one of the most crucial factors that contribute to a decrease of the operating performance of aircraft pilots and car drivers and, as such, plays a dangerous role in transport safety. To reduce fatigue-related tragedies and to increase the quality of a healthy life, many studies have focused on exploring effective methods and psychophysiological indicators for detecting and monitoring fatigue. However, those fatigue indicators rose many discrepancies among simulator and field studies, due to the vague conceptualism of fatigue, per se, which hinders the development of fatigue monitoring devices. METHOD: This paper aims to give psychological insight of the existing non-invasive measures for driver and pilot fatigue by differentiating sleepiness and mental fatigue. Such a study helps to improve research results for a wide range of researchers whose interests lie in the development of in-vehicle fatigue detection devices. First, the nature of fatigue for drivers/pilots is elucidated regarding fatigue types and fatigue responses, which reshapes our understanding of the fatigue issue in the transport industry. Secondly, the widely used objective neurophysiological methods, including electroencephalography (EEG), electrooculography (EOG), and electrocardiography (ECG), physical movement-based methods, vehicle-based methods, fitness-for-duty test as well as subjective methods (self-rating scales) are introduced. On the one hand, considering the difference between mental fatigue and sleepiness effects, the links between the objective and subjective indicators and fatigue are thoroughly investigated and reviewed. On the other hand, to better determine fatigue occurrence, a new combination of measures is recommended, as a single measure is not sufficient to yield a convincing benchmark of fatigue. Finally, since video-based techniques of measuring eye metrics offer a promising and practical method for monitoring operator fatigue, the relationship between fatigue and these eye metrics, that include blink-based, pupil-based, and saccade-based features, are also discussed. To realize a pragmatic fatigue detector for operators in the future, this paper concludes with a discussion on the future directions in terms of methodology of conducting operator fatigue research and fatigue analysis by using eye-related parameters.