The influence of parenting style on sibling relations among children aged 4–6 in rural areas in Northern China–a regression model

2021 ◽  
pp. 1-14
Author(s):  
Zhonglian Yan ◽  
Chong Han ◽  
Xiuyu Tian ◽  
Bo Lv
Keyword(s):  
Regression Model ◽  
Parenting Style ◽  
Rural Areas ◽  
Northern China ◽  
Sibling Relations

scholarly journals An Illustrated Guide to Estimation of Water Velocity in Unregulated River for Hydrokinetic Performance Analysis Studies in East Malaysia

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1330
Author(s):  
Almalik Mohd Saupi ◽  
Nashiren Mailah ◽  
Mohd Mohd Radzi ◽  
Kamarul Mohamad ◽  
Saiful Ahmad ◽  
...  
Keyword(s):  
Regression Model ◽  
Water Level ◽  
Rural Areas ◽  
Electrical Energy ◽  
Peninsular Malaysia ◽  
Water Velocity ◽  
Velocity Estimation ◽  
Coefficient Of Determination ◽  
Velocity Data ◽  
Model Equations

Electrification coverage in Sarawak is the lowest at 78.74%, compared to Peninsular Malaysia at 99.62% and Sabah at 82.51%. Kapit, Sarawak, with 88.4% of its population located in rural areas and mostly situated along the main riverbanks, has great potential to generate electrical energy with a hydrokinetic system. Yearly water velocity data is the most significant parameter with which to perform a hydrokinetic analysis study. Nevertheless, the data retrieved from local river databases are inadequate for river energy analysis, thus hindering its progression. Instead, flow rates and rainfall data had been utilized to estimate the water velocity data. Till present, there is still no publication has been found on estimating of water velocity data in unregulated river using water level. Therefore, a novel technique of estimating the daily average water velocity data in unregulated rivers is proposed. The modelling of regression equation for water velocity estimation was performed and two regression model equations were generated to estimate both water level and water velocity on-site and proven to be valid as the coefficient of determination values had been R2 = 87.4% and R2 = 87.9%, respectively. The combination of both regression model equations can be used to estimate long-term time series water velocity data for type-C unregulated river in remote areas.

scholarly journals Determinants of Internal Migration in Turkey

2016 ◽  
Author(s):  
Rüştü Yayar ◽  
Meltem Uçgunoğlu ◽  
Yusuf Demir
Keyword(s):  
Regression Model ◽  
Structural Transformation ◽  
Internal Migration ◽  
Rural Areas ◽  
Migration Rate ◽  
Economic Policies ◽  
Independent Variable ◽  
Unemployment And Health ◽  
Urban Places

Migration is defined as movement of population from one place to another. If population moves within the country, it is identified as internal migration, vice versa if population moves out of country, it is identified as emigration. Thanks to economic policies implemented in 1980’s in Turkey, there has been structural transformation. With the beginning of intensive migration from rural areas to urban places, this movement has brought some problems. In this paper, firstly internal migration phenomenon will be explained theoretically and will be presented in terms of Turkey side with various statistics. Some factors which are thought as having an impact on emergence of internal migration that heads to serious problems and reached serious dimensions in Turkey will be estimated with regression model. Economic reasons of migration will be discussed with driving and attractive forces. And with this approach, it is planned as the migration rate will be added to regression model as dependent variable and income, education, unemployment and health will be added to model as independent variable. Social and economic policies will be proposed in order to provide solutions of problems about internal migration.

scholarly journals Seasonal variations in aerosol optical properties over China

2008 ◽  
Vol 8 (3) ◽  
pp. 8431-8453 ◽  
Author(s):  
Y. Wang ◽  
J. Xin ◽  
Z. Li ◽  
S. Wang ◽  
P. Wang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Seasonal Variations ◽  
Rural Areas ◽  
Meteorological Data ◽  
Agricultural Practices ◽  
Hainan Island ◽  
Northern China ◽  
The Tibetan Plateau ◽  
Northern Forest ◽  
Aerosol Emissions

Abstract. The seasonal variations in background aerosol optical depth (AOD) and aerosol type are investigated over various ecosystems in China based upon three years' worth of meteorological data and data collected by the Chinese Sun Hazemeter Network. In most parts of China, AODs are at a maximum in spring or summer and at a minimum in autumn or winter. Minimum values (0.10~0.20) of annual mean AOD at 500 nm are found in the Qinghai-Tibetan Plateau, which is located in the remote northeast corner of China, the northern forest ecosystems and Hainan Island. Annual mean AOD ranges from 0.25 to 0.30 over desert and oasis areas as well as the desertification grasslands in northern China; the annual mean AOD over the Loess Plateau is moderately high at 0.36. Regions where the highest density of agricultural and industrial activities are located and where anthropogenic sulphate aerosol and soil aerosol emissions are consistently high throughout the whole year (e.g. the central-eastern, southern and eastern coastal regions of China) experience annual mean AODs ranging from 0.50~0.80. Remarkable seasonal changes in the main types of aerosol over northern China (characterized by the Angstrom exponent, α) are seen. Due to biomass and fossil fuel burning from extensive agricultural practices in northern rural areas, concentrations of smoke and soot aerosols rise dramatically during autumn and winter (high α), while the main types of aerosol during spring and summer are dust and soil aerosols (low α). Over southeast Asia, biomass burning during the spring leads to increases in smoke and soot emissions. Over the Tibetan Plateau and Hainan Island where the atmosphere is pristine, the main types of aerosol are dust and sea salt, respectively.

scholarly journals Positive Impact of Professionalism on the Perception of Global Well-Being: A Study in Healthcare Professionals Starting Their First Working Experience in Peruvian Rural Areas

2020 ◽  
Vol 8 ◽  
Author(s):  
Humberto López-Morales ◽  
Edgar Rivera-Diaz ◽  
Andrew Ore-Zuñiga ◽  
Angel Vera-Portilla ◽  
Montserrat San-Martín ◽  
...  
Keyword(s):  
Regression Model ◽  
Lifelong Learning ◽  
Multiple Regression ◽  
Rural Areas ◽  
General Health ◽  
Collaborative Work ◽  
Well Being ◽  
Multiple Regression Model ◽  
Public Healthcare ◽  
Global Perception

Introduction: In Peru, recently graduated physicians and nurses who are willing to start working in the public healthcare system, first have to work in their newly acquired profession in the programme denominated “Servicio Rural Urbano y Marginal de Salud” (SERUMS). The SERUMS programme is a 1-year contract in rural areas of the country. The aim of this study was to confirm the following hypothesis: the development of abilities associated to professionalism has a positive effect on the perception of global well-being in the professionals beginning SERUMS.Material and methods: In the study two cohorts of medical and nursing professionals that started SERUMS in 2017 and 2019 were included. The perception of global well-being and general health condition were measured with the Scale of Life Satisfaction (SWLS) and the General Health Questionnaire (GHQ-28), respectively. Professionalism was measured using Jefferson's scales of empathy (JSE), teamwork (JSAPNC), and lifelong learning (JeffSPLL). An analysis in phases using the R language was applied to develop a multiple regression model that would explain the lineal relationship between the global perception of well-being and the studied variables.Results: The study sample included 303 professionals (108 men and 195 women) with a mean age of 26 years, ranging from 22 to 39 years (SD = 4). Based on their profession, 230 were medical doctors and 67 were nurses. The multiple regression model evidenced that age (p < 0.001), social dysfunction (p < 0.001), severe depression (p < 0.001), and inter-professional collaborative work abilities (p < 0.001) explain 38% of the variability in the global perception of well-being. Moreover, a second model explained 44% of the variability in the inter-professional collaborative work abilities based on a lineal relationship with empathy (p < 0.001), lifelong learning (p < 0.001), and future professional orientation (p = 0.01). Both models complied with the necessary conditions for statistic inference and showed large effect sizes.Conclusions: These findings confirm that professionalism has an important role in improving the global well-being of the professionals initiating SERUMS. This influence is direct in the case of inter-professional collaborative work, whereas it is indirect in the case of empathy and lifelong learning.

scholarly journals Labour room violence in Uttar Pradesh, India: evidence from longitudinal study of pregnancy and childbirth

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e028688 ◽  
Author(s):  
Srinivas Goli ◽  
Dibyasree Ganguly ◽  
Swastika Chakravorty ◽  
Mohammad Zahid Siddiqui ◽  
Harchand Ram ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Pregnant Women ◽  
Rural Areas ◽  
Logistic Regression Model ◽  
Uttar Pradesh ◽  
First Trimester ◽  
General Category ◽  
Obstetric Violence ◽  
Labour Room

ObjectivesThe major objective of this study was to investigate the prevalence of labour room violence (LRV) (one of the forms of obstetric violence) faced by the women during the time of delivery in Uttar Pradesh (UP) (the largest populous state of India which is also considered to be a microcosm of India). Furthermore, this study also analyses the association between prevalence of obstetric violence and socioeconomic characteristics of the respondents.DesignThe study was longitudinal in design with the first visit to women made at the time of first trimester. The second visit was made at the time of second trimester and the last visit was made after the delivery. However, we have continuously tracked women over phone to keep record of developments and adverse consequences.SettingsUrban and rural areas of UP, India.ParticipantsSample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women.OutcomeWe aimed to assess the levels and determinants of LRV using data collected from 504 pregnant women in a longitudinal survey conducted in UP, India. The dataset comprised three waves of survey from the inception of pregnancy to childbirth and postnatal care. Logistic regression model has been used to assess the association between prevalence of LRV faced by the women at the time of delivery and their background characteristics.ResultAbout 15.12% of women are facing LRV in UP, India. Results from logistic regression model (OR) show that LRV is higher among Muslim women (OR 1.8, 95% CI 0.7 to 4.3) relative to Hindu women (OR 1). The prevalence of LRV is higher among lower castes relative to general category, and is higher among those women who have no mass media exposure (OR 4.7, 95% CI 1.7 to 12.8) compared with those who have (OR 1).ConclusionIn comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.

Coal-to-gas heating compensation standard and willingness to make clean energy choices in typical rural areas of northern China

Energy Policy ◽  
2020 ◽  
Vol 145 ◽  
pp. 111698
Author(s):  
Yutong Yan ◽  
Wenxian Jiao ◽  
Kang Wang ◽  
Yatao Huang ◽  
Jingyang Chen ◽  
...  
Keyword(s):  
Rural Areas ◽  
Clean Energy ◽  
Northern China ◽  
Gas Heating ◽  
Compensation Standard

scholarly journals The Associations between Outdoor Playtime, Screen-Viewing Time, and Environmental Factors in Chinese Young Children: The “Eat, Be Active and Sleep Well” Study

2020 ◽  
Vol 17 (13) ◽  
pp. 4867 ◽  
Author(s):  
Qiang Wang ◽  
Jiameng Ma ◽  
Akira Maehashi ◽  
Hyunshik Kim
Keyword(s):  
Preschool Children ◽  
Environmental Factors ◽  
Rural Areas ◽  
Northern China ◽  
Cross Sectional Study ◽  
Outdoor Play ◽  
Viewing Time ◽  
Sectional Study ◽  
Cross Sectional ◽  
Screen Viewing

The purpose of this study is to identify regional differences in outdoor activity time and screen-viewing time of preschool children in urban and rural areas and to provide data on the environmental factors to identify modifiable determinants for each region. This cross-sectional study was conducted on 1772 out of 2790 children between the age of 3 to 6 years living in northern China, with their consent. A cross-sectional study was conducted among preschool children living in urban (n = 1114) and rural areas (n = 658) in northern China. To assess environmental factors, the International Physical Activity Questionnaire was used for neighborhood environments, and the questionnaire included three items each for the physical home environment and socio-cultural environment domains. We observed the associations between outdoor play for urban children and sidewalks in the neighborhood, paths for cycles, aesthetic qualities, and “motor vehicles. In addition, in rural areas, screen-viewing time and environmental factors were found to be positively correlated with traffic, limited place and method of outdoor play, and were negatively correlated with the importance of academics and need for company in outdoor play. This has important implications for the development of effective intervention programs for preschool children in China in the future.

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