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1.
Environ Sci Pollut Res Int ; 30(29): 74409-74425, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37209350

ABSTRACT

The digital economy is crucial to promoting green technology innovation and development. However, there needs to be more research on the relationship between the digital economy, digital talent aggregation (DTA), and green technology innovation (GTI). Therefore, based on the data from 30 provinces, municipalities, and autonomous regions in mainland China (excluding Tibet) from 2011 to 2020, this paper uses fixed effect, threshold effect, moderating effect model, and spatial econometric model to make an empirical analysis of this research direction. The results show that (1) there is a nonlinear relationship between the digital economy and green technology innovation (GTI). This effect has regional heterogeneity effects. In the central and western regions, the digital economy is more prominent in promoting green technology innovation (GTI). (2) Digital talent aggregation (DTA) has a negative moderating effect on the influence of the digital economy on promoting green technology innovation (GTI). (3) The negative spillover effect of the digital economy on local green technology innovation (GTI) will be intensified at the spatial level due to the accumulation of digital talents. Therefore, this paper suggests that the government should actively and reasonably develop the digital economy to promote green technology innovation (GTI). In addition, the government can implement a flexible talent introduction policy, strengthen talent quality education and talent service station construction.


Subject(s)
Government , Technology , Models, Econometric , China , Educational Status , Economic Development
2.
Chinese Journal of School Health ; (12): 1545-1549, 2023.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-997225

ABSTRACT

Objective@#To understand the situation of neglect of preschool children in the urban area of Xi an under the background of multi child policy, so as to provide a reference for making effective prevention.@*Methods@#In Novmber 2022, according to the multi stage stratified cluster sampling principle, 2 450 parents of children aged 3-6 years were randomly selected from 7 urban areas of Xi an to participate in the questionnaire survey. A questionnaire survey was conducted using the "Neglect Evaluation Norms of 3-6 Years Old (Preschool) Children in Urban Areas of China". SPSS 18.0 software was used for statistical description, Chi square test and variance analysis.@*Results@#The total neglect rate of preschool children in the urban area of Xi an was 29.0% and the total neglect score was (37.58±8.44). There was no statistical difference in the neglect status of children in different grade groups ( χ 2/ F =1.61, 2.98, P >0.05). The neglect score of boys was higher than girls ( t =2.45, P <0.05). There was no statistical difference in the neglect rate and neglect score of boys and girls in other levels ( P >0.05); except for the significant difference in the neglect degree of medical treatment, education and safety ( t =2.01, 2.28, 2.02, P <0.05). The rate and score of neglect in multi-child families were higher than only-child families ( χ 2/ t = 13.68, -4.54, P <0.05). There were significant differences in the rate and degree of neglect of children with different birth order, which were "third and fourth-born>second-born>first-born" ( χ 2/ F = 10.84 , 2.79, P <0.05). The neglect rate and score of "single parent family" were significantly higher than that of "nuclear family" and "three-generation family" ( χ 2/ F =4.78, 2.79, P <0.05).@*Conclusion@#The neglect situation of preschool children in urban area of Xi an is still serious, especially in multi-child families. It should actively explore the risk factors and formulate effective intervention measures.

3.
Article in English | MEDLINE | ID: mdl-33120996

ABSTRACT

Evaluating the susceptibility of regional landslides is one of the core steps in spatial landslide prediction. Starting from multiresolution image segmentation and object-oriented classification theory, this paper uses the four parameters of entropy, energy, correlation, and contrast from remote-sensing images in the Zigui-Badong section of Three Gorges Reservoir as image texture factors; the original image data for the study area were divided into 2279 objects after segmentation. According to the various indicators of the existing historical landslide database in the Three Gorges Reservoir area, combined with the classification processing steps for different types of multistructured data, the relevant geological evaluation factors, including the slope gradient, slope structure, and engineering rock group, were rated based on expert experience. From the perspective of the object-oriented segmentation of multiresolution images and geological factor rating classification, the C5.0 decision tree susceptibility classification model was constructed for the prediction of four types of landslide susceptibility units in the Zigui-Badong section. The mapping results show that the engineering rock group of a high-susceptibility unit usually develops in soft rock or soft-hard interphase rock groups, and the slope is between 15°-30°. The model results show that the average accuracy is 91.64%, and the kappa coefficients are 0.84 and 0.51, indicating that the C5.0 decision tree algorithm provides good accuracy and can clearly divide landslide susceptibility levels for a specific area, respectively. This landslide susceptibility classification, based on multiresolution image segmentation and geological factor classification, has potential applicability.


Subject(s)
Geology , Landslides , Algorithms , China , Databases, Factual , Forecasting , Geographic Information Systems
4.
J Public Health (Oxf) ; 41(3): 494-501, 2019 09 30.
Article in English | MEDLINE | ID: mdl-30137461

ABSTRACT

BACKGROUND: The aim of this study was to investigate an association between birth defects and exposure to sulfur dioxide (SO2), nitrogen dioxide (NO2) and particles ≤10 µm in an aerodynamic diameter (PM10) during early pregnancy in Xi'an, China. METHODS: Birth defect data were from the Birth Defects Monitoring System of Xi'an, and data on ambient air pollutants during 2010-15 were from the Xi'an Environmental Protection Bureau. A generalized additive model (GAM) was used to investigate the relationship between birth defects and ambient air pollutants. RESULTS: Among the 8865 cases with birth defects analyzed, the overall incidence of birth defects was 117.33 per 10 000 infants. Ambient air pollutant exposure during the first trimester increased the risk of birth defects by 10.3% per 10 µg/m3 increment of NO2 and 3.4% per 10 µg/m3 increment of PM10. No significant association was found between birth defects and SO2. Moreover, NO2 increased risk of neural tube defects, congenital heart disease, congenital polydactyly, cleft palate, digestive system abnormalities and gastroschisis, and PM10 was associated with congenital heart disease and cleft lip with or without cleft palate. CONCLUSIONS: Chinese women should avoid exposure to high levels of NO2 and PM10 during the first 3 months of pregnancy.


Subject(s)
Air Pollutants/adverse effects , Air Pollution/adverse effects , Congenital Abnormalities/epidemiology , Congenital Abnormalities/etiology , Adult , Air Pollutants/analysis , Air Pollution/analysis , China/epidemiology , Environmental Monitoring/methods , Female , Humans , Infant, Newborn , Nitrogen Dioxide/adverse effects , Nitrogen Dioxide/analysis , Particulate Matter/adverse effects , Particulate Matter/analysis , Pregnancy , Sulfur Dioxide/adverse effects , Sulfur Dioxide/analysis , Young Adult
5.
Chin Med J (Engl) ; 128(1): 7-14, 2015 Jan 05.
Article in English | MEDLINE | ID: mdl-25563306

ABSTRACT

BACKGROUND: To investigate the surveillance trend of birth defects, incidence, distribution, occurrence regularity, and their relevant factors in Xi'an City in the last 10 years for proposing control measures. METHODS: The birth defects monitoring data of infants during perinatal period (28 weeks of gestation to 7 days after birth) were collected from obstetrics departments of all hospitals during 2003-2012. Microsoft Excel 2003 was used for data input, and Statistical Package for the Social Sciences version 16.0 (International Business Machines Corporation, New York, NY, USA) was used for descriptive analysis. χ2 test, Spearman correlation and linear-by-linear association trend test were used for statistical analyses. RESULTS: The birth defect rate declined from 9.18% in 2003 to 7.00% in 2012 (χ2 = 45.001, P < 0.01) with a mean value of 7.85%, which is below the Chinese national average level (χ2 = 20.451, P < 0.01). The order of five most common birth defects has changed. The incidence of congenital heart disease (CHD) increased with time, particularly after 2012, it became the most frequent type (r s = 0.808, P < 0.001). Till then, the number of neural tube defects (NTDs) declined significantly (χ2 = 76.254, P < 0.01). The average birth defects rate of 8.11% in rural areas was higher than that in urban areas (7.56%, χ2 = 7.919, P < 0.01) and much higher in males (8.28%) than that in females (7.18%, χ2 = 32.397, P < 0.01). Maternal age older than 35 years (χ2 = 35.298, P < 0.01) is the most dangerous age bracket of birth defects than maternal age younger than 20 years (χ2 = 7.128, P < 0.01). CONCLUSIONS: A downward trend of birth defects was observed in Xi'an City from 2003 to 2012. NTDs significantly decreased after large-scale supplemental folic acid intervention, while the incidence rate of CHD significantly increased.


Subject(s)
Congenital Abnormalities/epidemiology , Vital Statistics , Data Collection , Female , Humans , Infant, Newborn , Neural Tube Defects/epidemiology , Pregnancy , Quality Control
6.
Parasitol Int ; 61(3): 497-500, 2012 Sep.
Article in English | MEDLINE | ID: mdl-22402105

ABSTRACT

The nuclear ribosomal DNA (rDNA) region spanning 5.8S rDNA and the second internal transcribed spacer (ITS-2) of Baylisascaris schroederi isolated from the Qinling subspecies of giant panda in Shaanxi Province, China were amplified and sequenced. Sequence variations in the two rDNA regions within B. schroederi and among species in the family Ascarididae were examined. The lengths of B. schroederi 5.8S and ITS-2 rDNA sequences were 156 bp and 327 bp, respectively, and no nucleotide variation was found in these two rDNA regions among the 20 B. schroederi samples examined, and these ITS-2 sequences were identical to that of B. schroederi isolated from giant panda in Sichuan province, China. The inter-species differences in 5.8S and ITS-2 rDNA sequences among members of the family Ascarididae were 0-1.3% and 0-17.7%, respectively. Phylogenetic relationships among species in the Ascarididae were re-constructed by Bayesian inference (Bayes), maximum parsimony (MP), and maximum likelihood (ML) analyses, based on combined sequences of 5.8S and ITS-2 rDNA. All B. schroederi samples clustered together and sistered to B. transfuga with high posterior probabilities/bootstrap values, which further confirmed that nematodes isolated from the Qinling subspecies of giant panda in Shaanxi Province, China represent B. schroederi. Because of the large number of ambiguously aligned sequence positions (difficulty of inferring homology by positions), ITS-2 sequence alone is likely unsuitable for phylogenetic analyses at the family level, but the combined 5.8S and ITS-2 rDNA sequences provide alternative genetic markers for the identification of B. schroederi and for phylogenetic analysis of parasites in the family Ascarididae.


Subject(s)
Ascaridoidea/genetics , Ascaridoidea/isolation & purification , DNA, Ribosomal Spacer/genetics , Phylogeny , Ursidae/parasitology , Animals , Bayes Theorem , China , DNA, Helminth/genetics , Female , Genetic Markers , Genetic Variation , Male , Sequence Alignment , Sequence Analysis, DNA
7.
BMC Public Health ; 12: 1127, 2012 Dec 29.
Article in English | MEDLINE | ID: mdl-23273099

ABSTRACT

BACKGROUND: The first 18 months of life are the most important for long-term childhood well-being. Anemia and malnutrition occurring in this key period have serious implications for individuals and societies, especially in rural areas in developing country. We conducted a cross-sectional study as the baseline survey to provide data for developing a policy-based approach to controlling infant anemia and malnutrition in rural areas of Shaanxi province in northwestern China. METHODS: We randomly sampled 336 infants aged 0-18 months in 28 rural villages from 2 counties of Shaanxi province. Anthropometric measurements and household interviews were carried out by well-trained researchers. The hemoglobin concentration was measured for 336 infants and serum concentrations of iron, zinc, and retinol (vitamin A) were measured for a stratified subsample of 55 infants. Anemia was defined using World Health Organization (WHO) standards combined with the Chinese standard for infants<6 months old. Logistic regression modeling was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for anemia with non-anemic group as a reference. RESULTS: We found that 35.12% of infants in rural Shaanxi suffered from anemia, and the malnutrition prevalence rates were 32.14% for underweight, 39.58% for stunting, and 11.31% for wasting. Anemia was significantly associated with malnutrition (underweight, OR: 2.42, 95%CI: 1.50-3.88; stunting, OR: 1.65, 95%CI: 1.05-2.61; wasting, OR: 2.89, 95%CI: 1.45-5.76). Low birth weight, more siblings, less maternal education, low family income, crowded living conditions, and inappropriate complementary food introduction significantly increased the risk for infant anemia. Serum concentrations of iron, zinc, and retinol (vitamin A) were significantly lower in anemic infants compared with non-anemic infants. CONCLUSIONS: Specific socio-demographic characteristics and feeding patterns were highly associated with infant anemia in rural areas of Shaanxi province. Health education focusing on feeding practices and nutrition education could be a practical strategy for preventing anemia and malnutrition in young children.


Subject(s)
Anemia/epidemiology , Malnutrition/epidemiology , Rural Health/statistics & numerical data , China/epidemiology , Cross-Sectional Studies , Feeding Behavior , Female , Humans , Infant , Infant Nutritional Physiological Phenomena , Male , Prevalence , Risk Factors , Socioeconomic Factors
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