Children’s exposure to unhealthy food advertising on Philippine television: content analysis of marketing strategies and temporal patterns by Elaine Q. Borazon, Ma. Rica Magracia, Gild Rick Ong, Bridget Kelly Gillott, Sally Mackay, Boyd Swinburn, Tilakavati Karupaiah

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Method of Helicopter Turboshaft Engines’ Protection During Surge in Starting Mode by Denys Baranovskyi, Serhii Vladov, Maryna Bulakh, Victoria Vysotska, Viktor Vasylenko, Jan Czyżewski

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Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico by Rosario Silva Sepulveda, Magnus Boman, Magnus Boman

“…The top five most important features for classifying child or adolescent health were measures of an adult in the household, selected at random: BMI, obesity diagnosis, being single, seeking care at private healthcare, and having paid TV in the home. Unsupervised learning approaches varied in the optimal number of clusters but agreed on the importance of home environment features when analysing inter-cluster patterns. …”
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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

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The impact of restrictive measures to prevent the spread of COVID-19 on students’ lifestyle by O.O. Vinogradov, O.I. Guzhva

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Urinary concentrations of arsenic species in older Dutch adults and risk of chronic kidney disease by Hannah P. McKeon, Weiluan Chen, Jan Dirk te Biesebeek, Nanette G. Vrijenhoek, Jacqueline J.M. Castenmiller, Marcel J.B. Mengelers

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Effect of soluble dietary fiber extracted from Lentinula edodes (Berk.) Pegler on lipid metabolism and liver protection in mice on high-fat diet by Kangxiao Guo, Kangxiao Guo, Jing Liu, Zihan Yao, Zhoujin Tan, Tao Yang

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The associations between sedentary behavior and neck pain: a systematic review and meta-analysis by Yunchen Meng, Yaqi Xue, Sanjun Yang, Fang Wu, Yanyu Dong

“…Among screen-based SB, using mobile phones conferred the greatest risk of NP (OR = 1.82, 95%CI: 1.27, 2.61), followed by using computers (OR = 1.23, 95%CI: 1.08, 1.40), whereas watching TV was not a significant risk (OR = 1.20, 95%CI: 0.99, 1.44). …”
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