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64 and -0.55, respectively; p less then 0.05 for both). This study showed the change in iPRV indices when the condition of COPD was improvement or exacerbation. This study presents a possible way to show how cardiovascular activity affects daily life quality in patients with COPD. Increase in LF or decrease in HF and VHF would cause poorer quality of daily life in patients with COPD. The result can also be a reference for patients with COPD to choose the breathing type to adjust rehabilitation and therapy program for ANS regulation to indicate or improve their daily life quality.As a chronic disease, diabetes in the elderly patients is incurable and has a long treatment time, most of the symptoms are atypical, and onset is difficult to detect. This is among the challenging issues in front of doctors and paramedical stall and needed to be addressed on a priority basis as it poses a great threat to the health and life of the elderly. At present, the corresponding home medical products and emergency medical equipment cannot provide comprehensive and real-time services for monitoring physical conditions. At present, smart wearable health monitoring products are still in an emerging field. Relying on the advantages of internet technology, actively monitoring the physical condition of elderly diabetic patients is conducive to health protection. This article uses questionnaire surveys and experimental research methods to analyze the information source channels of the elderly diabetic patients interviewed for diabetes and their concerns about using smart wearable health monitoring products and compare their satisfaction with traditional blood glucose monitoring products and smart wearable health monitoring products. According to the investigation results of 50 elderly diabetes patients in P City,, they use TV, newspapers, and magazines to learn more about relevant information. They are mainly worried that they are unfamiliar with the product and will not use the process. Compared with traditional blood glucose monitoring products, smart wearable health monitoring products are satisfied, and degree is higher. Therefore, in order to better let elderly diabetic patients understand their physical condition, they can also effectively avoid the risk factors that may be suffered in life so that the disease can be effectively controlled. Various claims of the proposed scheme are verified through a rigorous evaluation process which is carried out in the form of numerous experiments. These results show that the proposed scheme is an effective way to resolve the aforementioned issue in the hospitals.Primarily in this paper, we have thoroughly investigated the psychological status and job burnout of managers in petroleum enterprises. For this purpose, we have assumed managers in petroleum enterprises as the research objects, whereas the overall sampling method was adopted from January 2019 to June 2020. A total of 240 questionnaires were sent out and 236 valid questionnaires were received with a recovery rate of 98.33%. read more The research objects' general information, psychological health status, and job burnout level were investigated. Among the 236 management personnel in petroleum enterprises, 212 (89.83%) were male and 24 (10.17%) were female. The average age was (40.28 ± 7.07) years old, and the number of people aged 40-49 was the largest, accounting for 52.12%; 84.32% were in marriage; regular college or above accounted for 81.78%; no smoking or occasional smoking in the last one year was 52.97%; not drinking in the last year was 34.75%; and 60.17% of managers in petroleum enterprises never or occasionally exercise. 121 (51.27%) suffered from high burnout due to emotional exhaustion, 125 (52.97%) suffered from high burnout due to emotional alienation, and 139 (58.90%) suffered from high burnout due to reduced sense of achievement. The scores of somatization, obsessive symptoms, depression, anxiety, and terror of the respondents were significantly higher than the normal levels of domestic adults. The differences were statistically significant (P 0.05). The phenomenon of job burnout and some psychological health problems existed in the managers in petroleum enterprises. The incidence of psychological evaluation was higher than that of the national norm, and the level of psychological health could predict the job burnout of petroleum enterprise managers.

To explore the clinical efficacy of tirofiban combined with ticagrelor and aspirin in acute myocardial infarction treatment by percutaneous coronary intervention and its effect on patients' cardiac function.

We selected 102 patients with acute myocardial infarction who came to The First Hospital of LanZhou University for treatment from July 2018 to May 2021. On the basis of conventional treatment, patients were separated into a joint group (tirofiban combined with ticagrelor and aspirin) comprising 55 cases and a control group (conventional ticagrelor and aspirin dual treatment) involving 47 cases. Blood flow classification of the two groups of patients was immediately recorded and compared after the myocardial infarction thrombolysis test (TIMI). Left ventricular function-related indicators, platelet-related parameters, neutrophil/lymphocyte ratio (NLR), red blood cell distribution width (RDW), and platelet/lymphocyte ratio (PLR) before treatment and 7 days after PCI were evaluated and compared between tpatients who suffered from acute myocardial infarction and treated with percutaneous coronary intervention, the application of tirofiban combined with ticagrelor and aspirin could effectively reduce the incidence of no reflow or slow blood flow, improve myocardial perfusion function, and have marked curative effects. It is worthy of clinical promotion and application.

0.05). For patients who suffered from acute myocardial infarction and treated with percutaneous coronary intervention, the application of tirofiban combined with ticagrelor and aspirin could effectively reduce the incidence of no reflow or slow blood flow, improve myocardial perfusion function, and have marked curative effects. It is worthy of clinical promotion and application.While nursing courses provide a convenient and quick way to learn, they can also be overloaded with resources that can cause learners to become cognitively disoriented or have difficulty choosing nursing course. This paper proposes to fully explore learners' interests in the case of sparse data by fusing knowledge graph technology and deep recommendation models and adopt knowledge graph to model nursing courses at the semantic level so as to correspond the set of nursing courses to the knowledge graph and solve the problem of lack of logical knowledge relationships. Due to the specificity of its positions, the nursing profession must accurately position the nursing professional curriculum standards in the process of determining the talent cultivation model based on the nursing professional positions and the admission requirements for nursing practice qualification. Through linear feature mining based on the knowledge graph, entities and relationships are used to intuitively display the interest paths of nursing professional learners and enhance the interpretability of recommendations.Age-related macular degeneration (AMD) is a chronic and progressive macular degeneration disease, which can also lead to serious visual loss. In our research, we aim to efficiently identify biomarkers relevant for AMD diagnosis. We collected the gene expression data of retinal segmented epithelium (RPE) and retina tissues of GSE29801 and GSE135092 and performed differential expression analysis. The differentially expressed genes (DEGs) related to the RPE and retina in the two sets of data were identified and enriched by intersection analysis. A PPI network was constructed for intersection genes, and the top 20 genes with the largest connectivity in the network were selected as candidate genes. The LASSO model was used to identify key genes from candidate genes, and the nomogram and ROC curve were used to evaluate the diagnostic ability of key genes. We identified 464 intersection genes associated with RPE and 509 intersection genes associated with retina. The TGF-beta signaling pathway was enriched by RPE-related DEGs, while oxidative phosphorylation was enriched by retina-related DEGs. Among the candidate genes of RPE, the LASSO model identified 7 key genes. MAPK1 and LUM can predict the clinical diagnosis of AMD. Among the candidate genes of retina, the LASSO model identified four key genes. PTPN11 has the highest predictive diagnostic value. The results suggest that the imbalance mechanism of RPE in AMD may be related to the TGF-beta signaling pathway, and the imbalance mechanism of the retina may be related to oxidative phosphorylation. MAPK1 and LUM are potential diagnostic markers of RPE, and PTPN11 is a potential diagnostic marker of the retina. Also, our results provide a theoretical basis for better understanding the molecular mechanisms of AMD onset and treatment in the future.The problems of low reliability and the high fitting degree of mutual information feature extraction of traditional sports to human health enhancement model are analyzed. We analyze and study the sports to human health enhancement model using data mining. The model consists of a data layer, a logic layer, and a presentation layer. Sports project data, real-time sports data, and health monitoring data are collected in the data layer, and the collected data are transmitted to the logic layer. The logical layer uses the dynamic difference feature classification algorithm of data mining to fuse human health data, extract the mutual information features of human health, and input the features into the long short-term memory (LSTM) neural network, which outputs the pattern recognition results of sports health after forward and reverse operations. The results of sports health pattern recognition are input into the display layer, and the enhancing effect of sports on human health is presented for users by constructing a model of sports on human health. The results show that the effect of sports on human health enhancement analyzed by the model in this paper is extremely accurate, which can significantly improve the health level of community residents and college students. When the number of data is about 600, it remains at about 0.05, indicating that this model has high reliability, and the fitting degree of mutual information feature extraction is up to 99.82%. It has certain practical application value.With the growth of people's consumption demand and the popularization of transportation, ecotourism has gradually entered people's vision and become a fashionable choice for people's leisure. Since the reform and opening up, tourism has increasingly become a popular and popular form of consumption. It appears in people's life and has the characteristics of personalization, leisure, and diversification. Based on the understanding of the current situation of the integrated development of ecotourism and sports tourism, this paper discusses the integrated development strategy of the ecotourism industry and sports health industry. As an important content and component of rural industry, it is very necessary to promote the better development of ecotourism. It is also an important task to implement the Rural Revitalization Strategy. It has important value and significance for improving the rural industrial structure and promoting rural economic development. The purpose of this study is to promote the coordinated development of the ecotourism and sports health industry and to provide help for the stable development of tourism in the market competition environment.

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