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Aim The glycaemic control of diabetes with depression was inconsistent from randomized controlled studies. This meta-analysis aimed to explore the effectiveness of intervention methods in diabetes with depression. Methods This study systematically searched electronic databases (PubMed, EBSCO, Elsevier, Springer, Wiley, and Cochrane) for studies published up to August 17, 2020. Standardized mean difference (SMD) and 95%CI were used to evaluate the effectiveness of interventions on HbA1c. Heterogeneity was estimated using the I2 statistic. Begg’s test was used to assess the possible publication bias among studies. Results Twelve studies of 2444 cases were included in this study. The overall SMD is −0.22 and 95%CI −0.33 to −0.10 in 0–6 months of intervention group. The I2 and P were 18.4% and 0.26. There are no publication bias tested (z = 0.37, P = 0.72). Conclusion Cognitive behavioral therapy and mindful self-compassion might be effective method to improve glycaemic control of diabetes with depression in 0–6 months.

PurposeThe purpose of this study is to investigate the inner flow field characteristics of groove textures in thrust bearings. Cavitation and vortex are studied simultaneously to enrich the theories of surface texture.Design/methodology/approachNavier–Stokes equations are solved using computational fluid dynamics. The MIXTURE model is adopted to study the gas–liquid mixture flow under the cavitation condition.FindingsRe number, the depth ratio as well as the area ratio of the groove texture and the bottom shape are all influencing factors of the inner flow field characteristics. When cavitation region and vortex region occupy the bottom of the groove texture, these do not overlap because of the pressure gradient. The positive pressure gradient in the non-cavitation region introduces nonlinearity into the velocity profiles, which affects the load-carrying capacity and friction.Originality/valueCavitation and vortex are studied simultaneously only in this study. The characteristics of the textured thrust bearing can be analyzed and explained with the combined effect of cavitation and vortex.

Objective To observe the comprehensive curative effect of acupuncture manipulation of regulating governor vessel and unblocking brain for post stroke depression associated with anxiety. Methods Sixty-four patients with post stroke depression associated with anxiety were randomly divided into 2 groups according to the random numbers generated by spss16.0 software, the group of acupuncture manipulation of regulating governor vessel and unblocking brain (group A) and medication group (group B), with 32 patients in each group. Acupuncture manipulation of regulating governor vessel and unblocking brain was performed in group A, Baihui (百会GV 20), Shenting (神庭GV 24), Yamen (哑门GV 15) and Danzhōng (膻中CV 17), Gānshū (肝俞BL 18), Xīnshū (心俞BL 15), Shenshū (肾俞BL 23), Taichōng (太冲LR 3), Taixī (太溪KI 3), Shenmen (神门HT 7) and Neiguān (内关PC 6) were selected. The treatment was conducted for once a day, and 5 times a week. Escitalopram oxalate tablets were given orally to the patients in group B for once a day. The treatment was conducted for 8 consecutive weeks in each group. The scores of Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA), Barthel index (BI) and Fugl–Meyer assessment (FMA) in the two groups before and after treatment were compared. Results Comparison with the same group before treatment, HAMD score and HAMA sore in the two groups after treatment for 4 weeks and 8 weeks were all obviously lower than that in the same group before treatment (all P 0.05); after treatment for 8 weeks, FMA score in group A was obviously higher than that in group B (P 0.05). Conclusion The curative effect of acupuncture manipulation of regulating governor vessel and unblocking brain on the anxiety state and motor function of the patients with post stroke depression is superior to that of escitalopram. With regard to the improvement of depression, this acupuncture manipulation was provided with the characteristic of rapid onset, and its long-term efficacy is equivalent to that of escitalopram. In terms of the improvement of activities of daily living, the curative effect of the two methods is equally well.

At present, the sample comparison of intelligent electric meters in power grid companies mainly relies on manual inspection. With the development of semiconductor technology and the increasing demand of intelligent electric meters, the disadvantages of this method, such as low detection efficiency, high misjudgment rate, are becoming more prominent. In this paper, a method for automatically detecting and identifying the intelligent electric meter circuit board chip is proposed, and a chip character recognition system based on convolutional neural network (CNN) is designed. The system is mainly divided into two parts: chip positioning and character recognition. The chip is positioned based on the method of layout analysis and edge detection. According to the difference between the characteristics of the chip and the characteristics of the PCB background, preprocess the images, detect the chip identification and obtain multiple candidate regions. Finally, candidate regions are screened based on chip characteristics. The gray-level projection method is used to segment characters. A single character image is obtained by row segmentation and column segmentation. At the same time, the optimization algorithm for character adhesion and fracture problem is proposed to improve the segmentation accuracy. For the character recognition module, build a convolutional neural network to extract character features, and the normalized character is input into the trained neural network for recognition. The recognition accuracy of test sets is high, and the time for recognizing a single character is about 0.35 seconds. Compared with the traditional detection methods, the proposed method has higher detection efficiency and recognition accuracy.

This chapter describes the results of the analysis of semi-structured interviews conducted with 59 graduates who completed humanities degree programmes in Hong Kong from 1995 to 2004. The focus for these interviews was on subjective constructions of “value” over the individual’s lifetime, including personal, social, or economic contributions made by the individual. The list of themes derived from the interviews show that humanities higher education endows graduates with useful skills for the economy; but importantly, the interview data also show that it does not only achieve this, but proves life-changing and (trans)formative for the individual in positive ways. In addition, humanities higher education is seen by graduates themselves as crucial in significant ways to Hong Kong not just as an economy, but as a society. It adds to the vibrancy, energy, variety, and heterogeneity of the city. This chapter’s extensive quotations from the interviews with humanities graduates mean that humanities graduates’ narratives are expressed not just in impersonal themes, but also in their own voices.

The oscillatory potentials of the electroretinogram in dark and light adaptation were evaluated by Fourier transform in 87 diabetics and 74 age-matched controls. The study consisted of four groups: normal control, no observable diabetic retinopathy, background diabetic retinopathy and proliferative diabetic retinopathy. A reduction in the amplitude of each oscillatory potential, the summed amplitudes, the area and the total power of the oscillatory potentials as well as delayed implicit time of each oscillatory potential peak in dark and light adaptation could be found in patients with background diabetic retinopathy and proliferative diabetic retinopathy. The amplitude of oscillatory potential 4 in dark adaptation and the total power of the oscillatory potentials in light adaptation seemed to be affected in patients with no observable diabetic retinopathy. The implicit time of oscillatory potential 2 in dark adaptation was valuable to distinguish between patients with no observable diabetic retinopathy and background diabetic retinopathy.