Characteristics and Influencing Factors on the Hollowing of Traditional Villages—Taking 2645 Villages from the Chinese Traditional Village Catalogue (Batch 5) as an Example

With the rapid development of urbanization and modernization, the population of traditional villages migrates into surrounding areas, causing the hollowing of traditional villages. The disintegration of China’s traditional village means the loss of historical memory and cultural characteristics of ethnic regions, seriously endangering the country’s cultural heritage. To better understand the hollowing phenomenon, this study analyzed 2645 villages from the Chinese traditional village catalogue (Batch 5) and evaluated different village attributes, including location, household registration, permanent population, number of traditional buildings, cultural relics, historical buildings, and non-heritage representative projects. We constructed an evaluation index system and used the entropy weight method, comprehensive evaluation method, and correlation analysis method to quantitatively assess the characteristics and influencing factors of hollowing among traditional Chinese villages. The main results are as follows: ① The hollowing index was above 0.5; most traditional villages have entered the stage of high hollowing. ② The traditional villages with hollowing index above 0.9 comprised 92%, and those between 0.8 and 0.9 made up 6%. Those with hollowing index at intervals 0.7–0.8, 0.6–0.7, and 0.5–0.6 accounted for 0.98%, 0.30%, and 0.11%, respectively. ③ Population hollowing is the fundamental cause of traditional village hollowing. In more than 99% of traditional villages, the population hollowing index was greater than 0.7. ④ More than 99% of traditional villages have a building hollowing index greater than 0.4, and more than 92% of the villages had a per capita number below 0.1. ⑤ The cultural hollowing rate for most traditional villages was very high. The cultural hollowing index for more than 99% of traditional villages was greater than 0.7. This study provides references for government administrators and scholars in rural revitalization and traditional village hollowing governance.

A new method for evaluating air quality using an ideal grey close function cluster correlation analysis method

To scientifically and reasonably evaluate air quality with a large amount of monitored data, this paper proposes a new evaluation method called ideal grey close function cluster correlation analysis (IGCFCCA). Taking the air quality in Ningxia Province, China, as an example, according to China’s air quality standard, SO2, NO2, PM10, PM2.5 and O3 are selected as evaluation indexes to perform the evaluation. The results show that the air quality in this region in 2018 can be divided into three classifications, among which the relatively poor air quality in March, April and May is the first classification, the better air quality in August and September is the third classification, and the air quality in other months falls under the second classification. Correlation analysis is used to qualitatively determine that these three classifications correspond to first-level air quality in China’s air quality standard, and the correlation degree, which is the distance between the three classifications and the first-level air quality, is quantitatively determined. Specifically, the correlation degrees of the first-classification, second-classification and third-classification of air quality are 0.674, 0.697 and 0.71, respectively. The research results indicate potential directions and objectives for air quality management to achieve scientific management.

Duplex steel welding in artic conditions – Correlation of welding parameters in relation to HISC

Duplex steel is an austenitic-femtic steel alloy commonly used in the offshore and subsea oil and gas industry. Duplex steel provides a unique combination of good mechanical properties and corrosion resistance in sweet and sour hydrocarbon environment, as well as in seawater. However, the combination of tensile loading, post-weld residual stresses, cathodic protection and other factors related to subsea implementation significantly increase the probability of hydrogen induced stress cracking (HISC). This paper aims to find a relationship between the formation of residual stresses and the imperfection of the welding process carried out on Duplex steel in extremely cold conditions. Based on a finite element (FE) welding transient simulation from a thermal perspective, the correlation between the welding parameters and heat distribution is established and analysed when the welding takes place in the cold arctic conditions. Pearson parameter correlation analysis method will be used to investigate the impact of extreme ambient temperatures on the welding process. The results and conclusions provide a solid foundation for welding process optimization in connection with HISC.

Why Couldn't the COVID-19 Epidemics Be Managed? In the Context of Complexity Science,A Solution Framework: Global Cooperation, Regional Policies, and Local Intervention

Background and Aim: The COVID-19 epidemics, is considered to be the most recent and already one of the most destructive epidemics in human history. As part of this study, primarily the biological, economic, and social effects of past epidemics and the COVID-19 epidemics on societies were examined.The aim of the study was to examine the similarities between countries' current state in the context of the COVID-19 epidemics and to develop an approach to epidemic management from a complexity perspective. Material and Methods: The analysis used data from 27 European Union member countries, the United Kingdom and the United States, and primarily examined the current state of the countries in the context of the epidemic using the Multidimensional Scaling Analysis method. In addition, SARS-CoV-2-induced cases, deaths and tests were examined via the correlation analysis method with nine variables that were identified in the context of the COVID-19 (average age, total population, urban population rate, population density, average life expectancy, per capita income, average education duration, hospital beds per 1,000 people, human inequality coefficient). Results: As a result of the analysis, it was determined that the current state of the countries, based on the impact and sources of the epidemic was quite similar, and that the variables mentioned were minimally related to the number of cases, deaths, and tests. Conclusion: These findings have been interpreted notas only showing that traditional approaches to today's epidemic management, and public health approaches have aspects that need improvement, but also that the epidemic is a multidimensional dynamic system and can be explained from the complexity perspective. As a result, the epidemic management framework was developed from the complexity perspective, which includes global cooperation, regional policies, and a local intervention approach. Therefore, the lifestyles of societies determine the size of the epidemic, while the management style determines whether or not the epidemic turns into a crisis for societies.

Neutrophil Side Fluorescence: A New Indicator For Predicting The Severity of Patients With Bronchiectasis

Background: Neutrophilic inflammation in the airway is a hallmark of bronchiectasis. Neutrophil extracellular traps (NETs) have been reported to play an important role in the occurrence and development of bronchiectasis. Neutrophil side fluorescence is one of the characteristics of neutrophils that can reflect the activation of neutrophils and the formation of NETs.Objective: To explore the relationship between the values of neutrophil side fluorescence (NEUT-SFL) in the peripheral blood of bronchiectasis patients, and the severity of the disease.Methods: 82 patients with bronchiectasis from the Department of Respiratory and Critical Medicine, at the Third Affiliated Hospital of Southern Medical University and were scored with Bronchiectasis Severity Index (BSI) (2019-2021). The clinical data such as the value of NEUT-SFL, neutrophil count, C-reactive protein, and procalcitonin levels were collected and retrospectively analyzed. NEUT-SFL values neutrophil count from 28 healthy subjects were also used to ascertain cut-off values. A single-sample SW test was used to test the normality for the data. The independent sample T-test was performed on the normal data, and Chi-square test and non-parametric test were used for non-normally distributed data and count data. The Pearson correlation analysis method was used for analyzing the correlation between each group of data.Results: Based on the BSI scores, patients were divided into three categories as mild (32%), moderate (29%), and severe (39%). Our results showed that the values of NEUT-SFL were higher in bronchiectasis patients compared to healthy controls. The levels of NEUT-SFL positively correlated with the high BSI scores in patients (P = 0.037, r = 0.23) and negatively correlated with the lung function in these patients (r = -0.35, P = 0.001). The area under the ROC curve was 0.813, the best cut-off was 42.145, indicating that NEUT-SFL values >42.145 can potentially predict the severity of bronchiectasis. Conclusions: The values of NEUT-SFL in the peripheral blood can be used for predicting the severity of bronchiectasis.

Neutrophil Side Fluorescence: A New Indicator for Predicting the Severity of Patients with Bronchiectasis

Background: Neutrophilic inflammation in the airway is a hallmark of bronchiectasis. Neutrophil extracellular traps (NETs) have been reported to play an important role in the occurrence and development of bronchiectasis. Neutrophil side fluorescence is one of the characteristics of neutrophils that can reflect the activation of neutrophils and the formation of NETs.Objective: To explore the relationship between the values of neutrophil side fluorescence (NEUT-SFL) in the peripheral blood of bronchiectasis patients, and the severity of the disease.Methods: 82 patients with bronchiectasis from the Department of Respiratory and Critical Medicine, at the Third Affiliated Hospital of Southern Medical University and were scored with Bronchiectasis Severity Index (BSI) (2019-2021). The clinical data such as the value of NEUT-SFL, neutrophil count, C-reactive protein, and procalcitonin levels were collected and retrospectively analyzed. NEUT-SFL values neutrophil count from 28 healthy subjects were also used to ascertain cut-off values. A single-sample SW test was used to test the normality for the data. The independent sample T-test was performed on the normal data, and Chi-square test and non-parametric test were used for non-normally distributed data and count data. The Pearson correlation analysis method was used for analyzing the correlation between each group of data.Results: Based on the BSI scores, patients were divided into three categories as mild (32%), moderate (29%), and severe (39%). Our results showed that the values of NEUT-SFL were higher in bronchiectasis patients compared to healthy controls. The levels of NEUT-SFL positively correlated with the high BSI scores in patients (P = 0.037, r = 0.23) and negatively correlated with the lung function in these patients (r = -0.35, P = 0.001). The area under the ROC curve was 0.813, the best cut-off was 42.145, indicating that NEUT-SFL values >42.145 can potentially predict the severity of bronchiectasis. Conclusions: The values of NEUT-SFL in the peripheral blood can be used for predicting the severity of bronchiectasis.

THE EFFECT OF PHYSICAL FITNESS TO CHANGE HUMAN HEALTH AND IMPROVE THE QUALITY OF LIFE

ABSTRACT Introduction People need to strengthen their bodies through leisure sports to prevent diseases. Physical fitness exercise is conducive to maintaining a good physical and mental state and establishing a good interpersonal relationship. Exercise can keep people happy. Object According to the actual needs of people’s physical fitness exercises, this article uses the correlation analysis method to carry out an empirical analysis on the effect of physical fitness exercises on the quality of life. Method The paper puts forward a model based on indicators combined with correlation analysis by constructing a hypothetical model of the effect of physical fitness exercise. We analyzed the reasons and influencing factors of people participating in physical fitness exercises. Results The influencing indicators of people’s participation in sports to improve the quality of life are gender, age, and disposable income. Conclusion People playing sports can enhance the quality and quality of life. Level of evidence II; Therapeutic studies - investigation of treatment results.