This commentary delves into the evolving landscape of cancer incidence and mortality in Costa Rica, presenting a comprehensive analysis of the data. Key findings reveal a concerning upward trajectory in cancer inciden...This commentary delves into the evolving landscape of cancer incidence and mortality in Costa Rica, presenting a comprehensive analysis of the data. Key findings reveal a concerning upward trajectory in cancer incidence rates, placing Costa Rica at the forefront within Central America. While prostate cancer and breast cancer dominate, disparities emerge when scrutinizing gender-specific trends. Notably, stomach and cervical cancers show declines, potentially attributed to targeted interventions. However, colorectal and liver cancers witness mortality increases, necessitating strategic responses. Geographical disparities persist across provinces, highlighting the need for equitable healthcare access. In conclusion, this commentary underscores the urgency of addressing the burgeoning cancer burden in Costa Rica, calling for evidence-based interventions and collaborative efforts on a global scale.展开更多
This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a sys...This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.展开更多
<strong>Background:</strong><span style="font-family:""><span style="font-family:Verdana;"> Teenage pregnancy is a major public health problem worldwide, also in northe...<strong>Background:</strong><span style="font-family:""><span style="font-family:Verdana;"> Teenage pregnancy is a major public health problem worldwide, also in northern Ghana. The aim of this study was to identify factors contributing to the rising trend in teenage pregnancy and the resultant effects. </span><b><span style="font-family:Verdana;">Materials and Methods:</span></b><span style="font-family:Verdana;"> This was a cross-sectional study using a quasi-structured questionnaire on 60 pregnant teenagers. Demographic data and factors associated with teenage pregnancy were collected/analyzed. </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> The mean age of respondents was 17.25 ± 1.93 years. Junior high school students or graduates accounted for 55%. About 35% of participants dropped out of school due to pregnancy. The following factors were identified to be associated with teenage pregnancy: low socio-economic status, no/less sexual- and reproductive-communication with parents, low level of education, no sexual and reproductive health knowledge, and unsafe sexual behaviours. The consequences of teenage pregnancy identified were: truncation of the girls’ education, psychological trauma, and worsening family relationships. The following health consequences were identified;anaemia in pregnancy, severe malaria, hypertension in pregnancy, and prolonged labour. </span><b><span style="font-family:Verdana;">Conclusion: </span></b><span style="font-family:Verdana;">The following factors may account for the rising trend in teenage pregnancy in this area: family-related problem, sociocultural factors, low education level, and the lack of adequate knowledge on reproductive health. Teenage pregnancy caused several problems in themselves and their family members.</span></span>展开更多
Background: Despite WHO recommendations on the benefits of early initiation of breastfeeding for both the mother and child, only 53.5% of newborns in Tanzania are breastfed within the first hour of life. The trend for...Background: Despite WHO recommendations on the benefits of early initiation of breastfeeding for both the mother and child, only 53.5% of newborns in Tanzania are breastfed within the first hour of life. The trend for early initiation of breastfeeding shows little progress and Tanzania is still far behind reaching the global recommended rate of 70% of early initiation of breastfeeding. This study aims to determine trends and factors associated with changes in the early initiation of breastfeeding in Tanzania from 2004-2016. Methodology: This was an analytical cross-sectional study utilizing secondary data from the Tanzania Demographic and Health Surveys (TDHS) for the years 2004-2005, 2010, and 2015-2016. Data analysis was performed using Stata 15. Frequencies and proportions were used to summarize categorical variables. A Modified Poisson regression model was used to determine factors associated with the early initiation of breastfeeding. Multivariable Poisson decomposition analysis was used to assess factors associated with changes in the early initiation of breastfeeding across surveys. Results: Trends in early initiation of breastfeeding decreased from 59.53% in 2004/2005 to 46.72% in 2010, and then increased to 51.94% in 2015/2016. Only 5.9% of the overall change in early initiation of breastfeeding was contributed by the difference in characteristics such as mode of delivery and working status. The difference in coefficients contributed to a 94% decrease in early initiation of breastfeeding mostly due to a decrease in early initiation of breastfeeding among caesarean section delivery patients. Conclusion: The prevalence of early initiation of breastfeeding in Tanzania decreased between 2004 and 2016, then increased from 2010-2016. Interventions and health policies need to target factors that had significant effects on the early initiation of breastfeeding such as increasing health facility delivery and promoting the initiation of breastfeeding soon after caesarean section delivery.展开更多
Vibration intensity and non-dimensional amplitude parameters are often used to extract the fault trend of rotary machines. But,they are the parameters related to energy,and can not describe the fault trend because of ...Vibration intensity and non-dimensional amplitude parameters are often used to extract the fault trend of rotary machines. But,they are the parameters related to energy,and can not describe the fault trend because of varying load and conditions or too slight change of vibration signal. For this reason,three non-dimensional parameters are presented,namely waveform repeatability factor,waveform jumping factor and waveform similarity factor,called as waveform factors jointly,which are based on statistics analysis for the waveform and sensitive to the change of signal waveform. When they are used to extract the fault trend of rotary machines as a kind of technology of instrument and meter,they can reflect the fault trend better than the vibration intensity,peak amplitude and margin index.展开更多
The habitat of giant pandas borders the living areas of farmers in surrounding communities. Due to the low level of economic development and resource used method, the life of community farmers depends on the natural r...The habitat of giant pandas borders the living areas of farmers in surrounding communities. Due to the low level of economic development and resource used method, the life of community farmers depends on the natural resources of the habitat of giant pandas. Analyzing the natural resource utilization of farmers in communities around the habitat of giant pandas is conducive to formulating more reasonable management policies and protecting the habitat of giant pandas more effectively. Based on the field survey data, this paper classifies the main ways of community farmers using the natural resources of the habitat of giant pandas, counts the quantity of resources used and analyzes their change trends. On this basis, this paper selects indicators, constructs a model and analyzes the main influencing factors affecting the natural resources utilization of community farmers from three aspects: the individual characteristics of household heads, the family characteristics of community farmers and the residence characteristics of community farmers.展开更多
Based on the annual sample data on food production in China since the reform and opening up,we select 8 main factors influencing the total food production( growing area,application rate of chemical fertilizer,effectiv...Based on the annual sample data on food production in China since the reform and opening up,we select 8 main factors influencing the total food production( growing area,application rate of chemical fertilizer,effective irrigation area,the affected area,total machinery power,food production cost index,food production price index,financial funds for supporting agriculture,farmers and countryside),and put them into categories of material input,resources and environment,and policy factors. Using the factor analysis,we carry out the multi-angle analysis of these typical influencing factors one by one through the time series trend chart. It is found that application rate of chemical fertilizer,the growing area of food crops and drought-affected area become the key factors affecting food production. On this basis,we set forth the corresponding recommendations for improving the comprehensive food production capacity.展开更多
文摘This commentary delves into the evolving landscape of cancer incidence and mortality in Costa Rica, presenting a comprehensive analysis of the data. Key findings reveal a concerning upward trajectory in cancer incidence rates, placing Costa Rica at the forefront within Central America. While prostate cancer and breast cancer dominate, disparities emerge when scrutinizing gender-specific trends. Notably, stomach and cervical cancers show declines, potentially attributed to targeted interventions. However, colorectal and liver cancers witness mortality increases, necessitating strategic responses. Geographical disparities persist across provinces, highlighting the need for equitable healthcare access. In conclusion, this commentary underscores the urgency of addressing the burgeoning cancer burden in Costa Rica, calling for evidence-based interventions and collaborative efforts on a global scale.
文摘This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.
文摘<strong>Background:</strong><span style="font-family:""><span style="font-family:Verdana;"> Teenage pregnancy is a major public health problem worldwide, also in northern Ghana. The aim of this study was to identify factors contributing to the rising trend in teenage pregnancy and the resultant effects. </span><b><span style="font-family:Verdana;">Materials and Methods:</span></b><span style="font-family:Verdana;"> This was a cross-sectional study using a quasi-structured questionnaire on 60 pregnant teenagers. Demographic data and factors associated with teenage pregnancy were collected/analyzed. </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> The mean age of respondents was 17.25 ± 1.93 years. Junior high school students or graduates accounted for 55%. About 35% of participants dropped out of school due to pregnancy. The following factors were identified to be associated with teenage pregnancy: low socio-economic status, no/less sexual- and reproductive-communication with parents, low level of education, no sexual and reproductive health knowledge, and unsafe sexual behaviours. The consequences of teenage pregnancy identified were: truncation of the girls’ education, psychological trauma, and worsening family relationships. The following health consequences were identified;anaemia in pregnancy, severe malaria, hypertension in pregnancy, and prolonged labour. </span><b><span style="font-family:Verdana;">Conclusion: </span></b><span style="font-family:Verdana;">The following factors may account for the rising trend in teenage pregnancy in this area: family-related problem, sociocultural factors, low education level, and the lack of adequate knowledge on reproductive health. Teenage pregnancy caused several problems in themselves and their family members.</span></span>
文摘Background: Despite WHO recommendations on the benefits of early initiation of breastfeeding for both the mother and child, only 53.5% of newborns in Tanzania are breastfed within the first hour of life. The trend for early initiation of breastfeeding shows little progress and Tanzania is still far behind reaching the global recommended rate of 70% of early initiation of breastfeeding. This study aims to determine trends and factors associated with changes in the early initiation of breastfeeding in Tanzania from 2004-2016. Methodology: This was an analytical cross-sectional study utilizing secondary data from the Tanzania Demographic and Health Surveys (TDHS) for the years 2004-2005, 2010, and 2015-2016. Data analysis was performed using Stata 15. Frequencies and proportions were used to summarize categorical variables. A Modified Poisson regression model was used to determine factors associated with the early initiation of breastfeeding. Multivariable Poisson decomposition analysis was used to assess factors associated with changes in the early initiation of breastfeeding across surveys. Results: Trends in early initiation of breastfeeding decreased from 59.53% in 2004/2005 to 46.72% in 2010, and then increased to 51.94% in 2015/2016. Only 5.9% of the overall change in early initiation of breastfeeding was contributed by the difference in characteristics such as mode of delivery and working status. The difference in coefficients contributed to a 94% decrease in early initiation of breastfeeding mostly due to a decrease in early initiation of breastfeeding among caesarean section delivery patients. Conclusion: The prevalence of early initiation of breastfeeding in Tanzania decreased between 2004 and 2016, then increased from 2010-2016. Interventions and health policies need to target factors that had significant effects on the early initiation of breastfeeding such as increasing health facility delivery and promoting the initiation of breastfeeding soon after caesarean section delivery.
文摘Vibration intensity and non-dimensional amplitude parameters are often used to extract the fault trend of rotary machines. But,they are the parameters related to energy,and can not describe the fault trend because of varying load and conditions or too slight change of vibration signal. For this reason,three non-dimensional parameters are presented,namely waveform repeatability factor,waveform jumping factor and waveform similarity factor,called as waveform factors jointly,which are based on statistics analysis for the waveform and sensitive to the change of signal waveform. When they are used to extract the fault trend of rotary machines as a kind of technology of instrument and meter,they can reflect the fault trend better than the vibration intensity,peak amplitude and margin index.
文摘The habitat of giant pandas borders the living areas of farmers in surrounding communities. Due to the low level of economic development and resource used method, the life of community farmers depends on the natural resources of the habitat of giant pandas. Analyzing the natural resource utilization of farmers in communities around the habitat of giant pandas is conducive to formulating more reasonable management policies and protecting the habitat of giant pandas more effectively. Based on the field survey data, this paper classifies the main ways of community farmers using the natural resources of the habitat of giant pandas, counts the quantity of resources used and analyzes their change trends. On this basis, this paper selects indicators, constructs a model and analyzes the main influencing factors affecting the natural resources utilization of community farmers from three aspects: the individual characteristics of household heads, the family characteristics of community farmers and the residence characteristics of community farmers.
基金Supported by Humanities and Social Sciences Fund of the Ministry of Education(12YJC790094)Tianjin Philosophy and Social Science Planning Project(TJYY13-028TJLJ13-011)
文摘Based on the annual sample data on food production in China since the reform and opening up,we select 8 main factors influencing the total food production( growing area,application rate of chemical fertilizer,effective irrigation area,the affected area,total machinery power,food production cost index,food production price index,financial funds for supporting agriculture,farmers and countryside),and put them into categories of material input,resources and environment,and policy factors. Using the factor analysis,we carry out the multi-angle analysis of these typical influencing factors one by one through the time series trend chart. It is found that application rate of chemical fertilizer,the growing area of food crops and drought-affected area become the key factors affecting food production. On this basis,we set forth the corresponding recommendations for improving the comprehensive food production capacity.