Research on Image Perception of Luxury Hotels in Dalian Based on Text Analysis

In recent years, with the development of mobile Internet and smartphones, more and more consumers will share their feelings and thoughts after staying in the hotel on the website, thus forming many online comments. These online comments reflect consumers\u27 perception of the hotel image to a certain extent. This paper uses Python to collect 35977 online comment data of luxury hotels in Dalian. Through the analysis of high-frequency words, characteristic words, and comment emotion, it is found that the main factors affecting the perception of hotel image are: hotel location, room condition, environmental sanitation, service attitude, and professional ability of receptionist and other service personnel. Finally, according to the research conclusions, provide personalized suggestions for the hotel to improve its image

EFFECTS OF HEALTH EDUCATION BASED ON OMAHA SYSTEM ON ANXIETY, DEPRESSION AND SELF-MANAGEMENT ABILITY OF PRIMIPARA

Background: Primiparas are prone to tension, anxiety, depression and other emotions due to their lack of experience related to delivery and fear of the unknown during pregnancy. Meanwhile, their self-management ability decreases because of their failure to immediately adapt to the transformation of their roles in a short time. A nursing model was constructed in this study based on the combination of the Omaha System with PBL health education to examine the effect of this model on the anxiety, depression, quality of life and self-management ability of primiparas. Subjects and methods: From January to December 2020, 170 primiparas were recruited as volunteers in this study by means of voluntary registration. They were randomly divided into the observation group and the control group, with 85 members in each group. The intervention lasted 6 weeks. SDS, SAS, WHOQOL-BREF scale and ESCA scale were used to compare the scores of the two groups before and after the intervention. Results: (1) After the intervention, the changes of the observation group in self-management ability and its four dimensions are higher than those of the control group, with the differences being statistically significant (P<0.05). (2) After the intervention, the changes of the observation group in quality of life and its four dimensions are higher than those of the control group, with the differences being statistically significant (P<0.05). (3) The changes of the observation group in anxiety and depression are higher than those of the control group. Specifically, the change of the observation group in anxiety before and after the intervention is 6.40+5.61, in comparison with 2.67+3.71 in the control group; the change of the observation group in depression before and after the intervention is 9.07+8.42 in comparison with 3.19+7.06 in the control group. Conclusion: the new nursing method proposed in this study effectively improves the self-management ability and quality of life of primiparas, significantly reduces their anxiety and depression, has a high application value in obstetric nursing and also provides a new idea for the implementation of scientific and efficient nursing for primiparas

Generating Handwritten Chinese Characters using CycleGAN

Handwriting of Chinese has long been an important skill in East Asia. However, automatic generation of handwritten Chinese characters poses a great challenge due to the large number of characters. Various machine learning techniques have been used to recognize Chinese characters, but few works have studied the handwritten Chinese character generation problem, especially with unpaired training data. In this work, we formulate the Chinese handwritten character generation as a problem that learns a mapping from an existing printed font to a personalized handwritten style. We further propose DenseNet CycleGAN to generate Chinese handwritten characters. Our method is applied not only to commonly used Chinese characters but also to calligraphy work with aesthetic values. Furthermore, we propose content accuracy and style discrepancy as the evaluation metrics to assess the quality of the handwritten characters generated. We then use our proposed metrics to evaluate the generated characters from CASIA dataset as well as our newly introduced Lanting calligraphy dataset.Comment: Accepted at WACV 201

Effects of sitagliptin on blood glucose, lipids, pancreatic β cell secretory function and insulin resistance in patients with type 2 diabetes mellitus

Purpose: To study the influence of sitagliptin on blood glucose, lipid and pancreatic β cell function in type II diabetes mellitus (T2DM) patients.Methods: Two groups of T2DM patients (100/group) received either metformin only (control group), or metformin plus sitaglipin (study group) for 3 months. Blood lipid profiles, fasting blood glucose (FBG), indices of pancreatic function and insulin resistance were assayed using standard biochemical methods.Results: The metformin-sitaglipin combination resulted in significant decreases in FBG, 2-h PBG, HbAlc total cholesterol (TC), triacylglycerol, and low-density lipoprotein cholesterol (LDL-C), when compared with the metformin-only treatment (p &lt; 0.05). Although there were significant decreases in pancreatic secretion of insulin, fasting insulin, and 2 h postprandial insulin in the two groups, these parameters were significantly lower in the metformin-only treated patients than in those with combination treatment (p &lt; 0.05).Conclusion: Sitagliptin normalizes fasting blood glucose, lipid profiles and insulin secretion in type II diabetes mellitus (T2DM) patients.Keywords: Type 2 diabetes mellitus, Sitagliptin, Blood glucose, Pancreatic islet function, Insuli