A lot of achievements about IOT in many industries have been obtained. In order to develop professional talent on IOT to meet the social needs, it is significant to establish an IOT laboratory for colleges and universities, which can deepen professional knowledge and improve the practice ability for students. The necessary of the construction of the IOT laboratory is elaborated, the main technology in the construction of the IOT laboratory is analyzed, and at the same time, the main modules of experiment and construction which should be contained are summarized.
Click to increase image sizeClick to decrease image size Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Teaching and Research Project of Huazhong University of Science and Technology [2022108].
Abstract Background Current evidence suggests that the exclusive breastfeeding (EBF) rate at six months postpartum in China falls considerably below the targets recommended by the World Health Organization (WHO). Socioeconomic disparities in EBF have been observed in developing countries, with significant heterogeneity across studies. Despite the implementation of the Baby-Friendly Hospital Initiative (BFHI) in China since the 1990s to promote breastfeeding, there has been a lack of assessment concerning infants from different socioeconomic backgrounds. This study sought to investigate the association between socioeconomic status (SES) and EBF and explore the potential impact of giving birth at a Baby-Friendly Hospital (BFH) on this association. Methods We analyzed data from 98,469 mother-child dyads selected from the Maternal and Child Health Management Information System. We used log-binomial models to examine the relationships between SES and EBF, SES and giving birth at a BFH, as well as BFH births and EBF. Additionally, we explored a counterfactual mediation approach to assess the mediating role of BFH births in the SES-EBF association. Findings We identified a significant association between SES and EBF (RR Medium vs. Low = 1.47, 95% CI 1.39–1.55; RR High vs. Low = 1.40, 95% CI 1.32–1.49). Mothers with higher SES were more likely to give birth at BFHs (RR Medium vs. Low = 1.85, 95% CI 1.81–1.88; RR High vs. Low =2.29, 95% CI 2.25–2.33). The significance of the SES-EBF association was attenuated when the type of hospital for childbirth was considered, revealing the significant mediating effect of BFH births in the SES-EBF association. Conclusion Socioeconomic disparities are linked to infant EBF rates, with giving birth at a BFH mediating this association, especially for cases with low SES in rural areas.
Objective The aim of this study was to explore the potential impact of maternal gestational weight gain (GWG), infant birth weight, and postnatal weight change (ΔWAZ) on the relationship between maternal prepregnancy BMI (ppBMI) and childhood BMI. Methods This retrospective cohort study analyzed a data set from Wuhan, China. The mediation effect of targeted mediators on the association between maternal BMI and childhood BMI at the age of 2 years was analyzed. Results In the mediation model comprising maternal GWG, infant birth weight, and the first‐6‐month ΔWAZ as mediators of the association between ppBMI and children's BMI, the per unit increase in ppBMI resulted in a 0.01‐kg/m 2 increase in children's BMI, through all three mediators. For the model comprising infant birth weight and the first‐6‐month ΔWAZ as mediators but maternal GWG as a moderator, the indirect effects of the first‐6‐month ΔWAZ on the relationship between ppBMI and childhood BMI was 0.0018 higher when maternal GWG increased from average values to 1 SD above the average values. Conclusions Maternal GWG, infant birth weight, and the first‐6‐month ΔWAZ mediated the effects of maternal ppBMI on children's BMI. Interventions targeting these factors can mitigate the risk of childhood obesity.
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