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This review aims to study the effect of Taijiquan on the glucose and lipid metabolism of middle-aged and elderly diabetic patients, objectively evaluate the effect of Taijiquan on the glucose and lipid metabolism of middle-aged and elderly diabetic patients, and provide scientific basis for clinical exercise intervention in middle-aged and elderly diabetic patients.<br /><br /> INPLASY2020120107.<br /><br />INPLASY2020120107.<br /><br /> Non-alcoholic fatty liver disease (NAFLD) has become a global pandemic, and its incidence is increasing year by year. At present, there are no definite curative drugs for the treatment of NAFLD in modern medicine. Surprisingly, complementary and alternative therapies play an important role and have special advantages. [https://www.selleckchem.com/products/fg-4592.html check details] In this study, we will adopt Bayesian network meta-analysis (NMA) to evaluate the efficiency and safety of complementary therapy and alternative therapies for NAFLD.<br /><br /> We will collect randomized controlled trials (RCTs) related to the treatment of NAFLD in PubMed, Cochrane Library, CNKI, and other databases. Two reviewers will screen the literature and extract data in line with the inclusion and exclusion criteria, and then assess the risk of bias according to Cochrane risk of bias assessment tool. The Bayesian NMA will be performed by Stata16.0 and WinBUGS1.4.3.<br /><br /> Our study will compare and rank the efficacy and safety of diverse complementary and alternative therapies for NAFLD.<br /><br /> This study can provide credible evidence for the efficacy and safety of complementary therapies and alternative therapies in the treatment of NAFLD. We expect to assist clinicians and patients to choose the optimal therapeutic regimen.<br /><br /> INPLASY2020120136.<br /><br />INPLASY2020120136.<br /><br /> The quality control of fetal sonographic (FS) images is essential for the correct biometric measurements and fetal anomaly diagnosis. However, quality control requires professional sonographers to perform and is often labor-intensive. To solve this problem, we propose an automatic image quality assessment scheme based on multitask learning to assist in FS image quality control. An essential criterion for FS image quality control is that all the essential anatomical structures in the section should appear full and remarkable with a clear boundary. Therefore, our scheme aims to identify those essential anatomical structures to judge whether an FS image is the standard image, which is achieved by 3 convolutional neural networks. The Feature Extraction Network aims to extract deep level features of FS images. Based on the extracted features, the Class Prediction Network determines whether the structure meets the standard and Region Proposal Network identifies its position. The scheme has been applied to 3 typeseural networks. The Feature Extraction Network aims to extract deep level features of FS images. Based on the extracted features, the Class Prediction Network determines whether the structure meets the standard and Region Proposal Network identifies its position. The scheme has been applied to 3 types of fetal sections, which are the head, abdominal, and heart. The experimental results show that our method can make a quality assessment of an FS image within less a second. Also, our method achieves competitive performance in both the segmentation and diagnosis compared with state-of-the-art methods.<br /><br /> Hypertensive patients commonly co-exist persistent depressive symptoms. However, these issues are not always identified, especially in primary health care, which may worsen the prognosis of hypertension. Therefore, the aim of this study was to determine the prevalence and risk factor of depression, and to develop risk nomogram of depression in hypertensive patients from primary health care Northwest China.We used a stratified multistage random sampling method to obtain 1856 hypertensives subjects aged ≥18 years in Xinjiang between April and October 2019. The subjects were randomly divided into a training set (n = 1299) and a validation set (n = 557). Depression was evaluated by Hospital Anxiety and Depression Scale (HADS), with a cut-off score ≥8. Using the least absolute shrinkage and selection operator (LASSO) regression model, we identified optimized risk factors of depression in the training set, followed by the establishment of prediction nomogram. The discriminative ability, calibration, and clinical ypertensive subjects displayed depression. Seven independent risk factors of depression were identified and entered into the nomogram including age, region, ethnicity, marital status, physical activity, sleep quality, and control of hypertension. The nomogram displayed robust discrimination with an AUC of 0.760 [95% confidence interval (CI) 0.724-0.797)] and 0.761 (95%CI 0.702-0.819), and good calibration in training set and validation set, respectively. The decision curve analysis and clinical impact curve demonstrated clinical usefulness of predictive nomogram.There is a considerable prevalence of depression in patients with hypertension from primary care of Xinjiang, Northwest China. Our nomogram may help primary care providers assess the risk of depression in patients with hypertension.<br /><br /> Diminished Ovarian Reserve (DOR) is a common disease in reproductive-age women in the diagnosis and treatment of infertility. The incidence of DOR increased quickly in recent years and had became one of the most important factors that made the quality of women life decline. Gynecology and reproductive medicine professors have made great efforts to explore good treatment methods all over the world. Traditional Chinese Medicine has made some achievement in treating DOR as a kind of complementary and alternative therapy In Vitro Fertilization (IVF) in recent years, it is indispensable to propose a network meta-analysis (NMA) protocol to discuss the efficacy and safety of TCM in IVF.<br /><br /> A literature search will be conducted in 8 electronic databases.<br /><br /> The efficacy and safety of traditional Chinese medicine in preconditioning patients with diminished ovarian reserve that would undergo In Vitro Fertilization will be evaluated.<br /><br /> The systematic review will evaluate the efficacy and safety of TCM in IVF.<br /><br /> The result of this study will provide reliable evidence of the use of TCM in IVF.