: Child malnutrition is a widespread concern in Sub-Saharan Africa. Previous studies mainly focus on the association between women's employment status and child malnutrition, however, the aim of this study is to examine the causal effect of household gender wage gap on child malnutrition in Ethiopia. : This study relies on a data set consisting of 2066 children under 5 years of age using 2018/19 Living Standards Measurement Study data for Ethiopia.
View Article and Find Full Text PDFBackground: Reducing preventable adverse maternal and offspring outcomes is a global priority. The causes of adverse maternal and fetal outcomes are complex with multidimensional influencing factors. In addition, the Covid-19 epidemic has had a significant psychological and physical impact on people.
View Article and Find Full Text PDFBased on the service encounter perspective, this study combines theoretical foundations for such factors as service quality and the characteristics of the hospital service industry to develop a research model scale to investigate whether the quality of hospital services affects patients' perceptions of health service encounters, trust, and loyalty. Nowadays, with the advancement of medical technology, patients pay more attention to the quality of medical services and good service encounters provided by healthcare professionals in order to establish positive patient relationships; hospitals need to improve their own service quality and establish good patient trust relationships so that doctor-patient satisfaction and loyalty can be improved. In a review of related literature, this study found that most past studies focused on issues related of quality of medical services and patient satisfaction, but ignored those related to the relationship between medical service encounters and patient trust and loyalty, as well as the lack of scientific measurement markers for service encounters in the Chinese medical service industry.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
November 2021
EEG-EMG based hybrid Brain Computer Interface (hBCI) utilizes the brain-muscle physiological system to interpret and identify motor behaviors, and transmit human intelligence to automated machines in AI applications such as neurorehabilitations and brain-like intelligence. The study introduces a hBCI method for motor behaviors, where multiple time series of the brain neuromuscular network are introduced to indicate brain-muscle causal interactions, and features are extracted based on Relative Causal Strengths (RCSs) derived by Noise-assisted Multivariate Empirical Mode Decomposition (NA-MEMD) based Causal Decomposition. The complex process in brain neuromuscular interactions is specifically investigated towards a monitoring task of upper limb movement, whose 63-channel EEGs and 2-channel EMGs are composed of data inputs.
View Article and Find Full Text PDFHospitalisation risks for chronic obstructive pulmonary disease (COPD) have been attributed to ambient air pollution worldwide. However, a rise in COPD hospitalisations may indicate a considerable increase in fatality rate in public health. The current study focuses on the association between consecutive ambient air pollution (CAAP) and COPD hospitalisation to offer predictable early guidance towards estimates of COPD hospital admissions in the event of consecutive exposure to air pollution.
View Article and Find Full Text PDFBackground: Dapagliflozin, a novel inhibitor of sodium-glucose cotransporter-2 (SGLT-2), lowers blood glucose level by specifically inhibiting the activity of SGLT-2. Previous studies showed efficacy and safety of dapagliflozin combined with other antihyperglycemic agents in type 2 diabetes (T2DM), however, there are few studies for dapagliflozin as monotherapy. The aim of this study was to assess the efficacy and safety of dapagliflozin as a monotherapy in T2DM and provide theoretical basis for clinical rational use of drugs.
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