The formation water sample in oil and gas fields may be polluted in processes of testing, trial production, collection, storage, transportation and analysis, making the properties of formation water not be reflected t...The formation water sample in oil and gas fields may be polluted in processes of testing, trial production, collection, storage, transportation and analysis, making the properties of formation water not be reflected truly. This paper discusses identification methods and the data credibility evaluation method for formation water in oil and gas fields of petroliferous basins within China. The results of the study show that: (1) the identification methods of formation water include the basic methods of single factors such as physical characteristics, water composition characteristics, water type characteristics, and characteristic coefficients, as well as the comprehensive evaluation method of data credibility proposed on this basis, which mainly relies on the correlation analysis sodium chloride coefficient and desulfurization coefficient and combines geological background evaluation;(2) The basic identifying methods for formation water enable the preliminary identification of hydrochemical data and the preliminary screening of data on site, the proposed comprehensive method realizes the evaluation by classifying the CaCl2-type water into types A-I to A-VI and the NaHCO3-type water into types B-I to B-IV, so that researchers can make in-depth evaluation on the credibility of hydrochemical data and analysis of influencing factors;(3) When the basic methods are used to identify the formation water, the formation water containing anions such as CO_(3)^(2-), OH- and NO_(3)^(-), or the formation water with the sodium chloride coefficient and desulphurization coefficient not matching the geological setting, are all invaded with surface water or polluted by working fluid;(4) When the comprehensive method is used, the data credibility of A-I, A-II, B-I and B-II formation water can be evaluated effectively and accurately only if the geological setting analysis in respect of the factors such as formation environment, sampling conditions, condensate water, acid fluid, leaching of ancient weathering crust, and ancient atmospheric fresh water, is combined, although such formation water is believed with high credibility.展开更多
To clarify the importance of various influencing factors on asphalt pavement rutting deformation and determine a screening method of model indicators,the data of the RIOHTrack full-scale track were examined using the ...To clarify the importance of various influencing factors on asphalt pavement rutting deformation and determine a screening method of model indicators,the data of the RIOHTrack full-scale track were examined using the factor analysis method(FAM).Taking the standard test pavement structure of RIOHTrack as an example,four rutting influencing factors from different aspects were determined through statistical analysis.Furthermore,the common influencing factors among the rutting influencing factors were studied based on FAM.Results show that the common factor can well characterize accumulative ESALs,center-point deflection,and temperature,besides humidity,which indicates that these three influencing factors can have an important impact on rutting.Moreover,an empirical rutting prediction model was established based on the selected influencing factors,which proved to exhibit high prediction accuracy.These analysis results demonstrate that the FAM is an effective screening method for rutting prediction model indicators,which provides a reference for the selection of independent model indicators in other rutting prediction model research when used in other areas and is of great significance for the prediction and control of rutting distress.展开更多
The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, i...The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, in previous investigation, the analysis on the measurement error was qualitative and only focused on the total effects on the measurement without decoupling the influencing factors. This paper discusses the effects of influencing factors on the measurement results for the interface propagation-based method. Numerical simulations were performed to explore the influencing factors, namely model simplification, subcooling and natural convection, along with their impact on the measurement process and corresponding measurement results. The numerical solutions were provided in terms of moving curves of the solid-liquid interface and the predicted values of thermal conductivity. Results indicated that the impact of simplified model was strongly dependent on Stefan number of the melting process. The degree of subcooling would lead to underestimated values for thermal conductivity prediction. The natural convection would intensify the heat transfer rate in the liquid region, thereby overestimating the obtained results of thermal conductivity. Correlations and experimental guidelines are provided. The relative errors are limited in ±1.5%,±3%and ±2% corresponding to the impact of simplified model, subcooling and natural convection, respectively.展开更多
BACKGROUND The prevalence and severity of noncommunicable chronic diseases(NCDs)among Chinese residents have been increasing with mental health emerging as a critical challenge in disease management.AIM To examine the...BACKGROUND The prevalence and severity of noncommunicable chronic diseases(NCDs)among Chinese residents have been increasing with mental health emerging as a critical challenge in disease management.AIM To examine the interactions between depression,anxiety symptoms,and related factors,and to identify key factors in the Chinese population with NCDs.METHODS Data from the Psychology and Behavior Investigation of Chinese Residents were used in a cross-sectional survey of 6182 individuals with NCDs.This study measured depression and anxiety symptoms as well as their influencing factorsincluding social environments,individual behaviors and lifestyles,and subjective indicators.A network analysis approach was used for data assessment.RESULTS Network analysis demonstrated that several central factors(media exposure,family health,problematic internet use,suboptimal health status,intimate relationship violence,tired or little energy,and nervousness/anxious/on edge)and bridge factors(media exposure,problematic internet use,intimate partner violence,health literacy,and suboptimal health status)that significantly influenced the co-occurrence and interconnectedness of depression and anxiety symptoms.Additionally,gender,ethnicity,residency,and living status did not significantly influence the overall network strength.CONCLUSION Depression and anxiety are prevalent among the Chinese population with NCDs.Effective interventions should focus on managing key symptoms,promoting correct media use for health information,and fostering healthier family relationships.展开更多
This study takes the human resource management major of Guangzhou Institute of Science and Technology as an example to discuss the factors influencing the applied talent training mode and improvement paths under digit...This study takes the human resource management major of Guangzhou Institute of Science and Technology as an example to discuss the factors influencing the applied talent training mode and improvement paths under digital informatization.The research points out that digital informatization poses new challenges and opportunities to higher education and requires the applied talent training mode to practice and innovate.This study identified five key influencing factors of the applied talent training mode under digital informatization:curriculum setting,teaching methods,faculty structure,practical teaching,and student training.This research presents the improvement paths,including optimizing curriculum settings,innovating teaching methods,adjusting teacher structure,improving practical teaching,and creating student training.Implementing these paths will help students master the latest knowledge and skills of digital informatization,improve their practical ability and innovative thinking to meet the social demand for human resource management professionals,and promote the development of higher education system.展开更多
Probit model is applied to analyze some key factors influencing farmers' willingness to participate in the new vocational training for farmers based on 683 questionnaires from 8 districts in Chongqing. The results...Probit model is applied to analyze some key factors influencing farmers' willingness to participate in the new vocational training for farmers based on 683 questionnaires from 8 districts in Chongqing. The results show that individual and family factors significantly affect farmers' participation will. These factors are age,family scale and years of education. Age is the most important factor,family scale is of secondary importance and years of education are the third one. Meanwhile,years of education positively affect farmers' participation willingness;there is a negative correlation among age,family scale and this willingness. Organizer,rural economic development level and training experience have no significant influence on this willingness.展开更多
The proposal of the strategy of developing the country through science education has clarified China’s demand for the development of the science and education industry and the cultivation of science and education tal...The proposal of the strategy of developing the country through science education has clarified China’s demand for the development of the science and education industry and the cultivation of science and education talents,and the birth of Science Education majors is an important link in the cultivation of scientific literacy.Based on the grounded theory,we interviewed three Science Education graduates from a university and coded the interview data by using NVivo 12.0 to find eight important factors affecting their professional training and employment choices.The factors are“social factors,”“individual career choice factors,”“campus resources,”“employment advantages,”“professional self-development,”“teacher factors,”“planning for further education and employment,”and“student motivation.”This study analyzes the interaction between the influencing factors,constructs a theoretical model of the influencing factors of the quality of Science Education professional training,explores the problems of the training process of Science Education majors and employment dilemmas,and puts forward corresponding suggestions.展开更多
Studying the change in population distribution and density can provide important basis for regional development and planning. The spatial patterns and driving factors of the change in population density in China were ...Studying the change in population distribution and density can provide important basis for regional development and planning. The spatial patterns and driving factors of the change in population density in China were not clear yet. Therefore, using the population census data in 2000 and 2010, this study firstly analyzed the change of population density in China and divided the change in all 2353 counties into 4 types, consisting of rapid increase, slow increase, slow decrease and rapid decrease. Subsequently, based on the partial least square （PLS） regression method, we recognized the significant factors （among 11 natural and social-economic factors） impacting population density change for the whole country and counties with different types of population change. The results showed that： （1） compared to the population density in 2000, in 2010, the population density in most of the counties （over 60%） increased by 21 persons per km2 on average, while the population density in other counties decreased by 13 persons per km2. Of all the 2353 counties, 860 and 589 counties respectively showed rapid and slow increase in population density, while 458 and 446 coun- ties showed slow and rapid decrease in population density, respectively. （2） Among the 11 factors, social-economic factors impacted population density change more significantly than natural factors. The higher economic development level, better medical condition and stronger communication capability were the main pull factors of population increase. The dense population density was the main push factor of population decrease. These conclusions clarified the spatial pattern of population change and its influencing factors in China over the past 10 years and could provide helpful reference for the future population planning.展开更多
Comprehensive experimental and numerical studies have been undertaken to investigate wave energy dissipation performance and main influencing factors of a lower arc-plate breakwater. The numerical model, which conside...Comprehensive experimental and numerical studies have been undertaken to investigate wave energy dissipation performance and main influencing factors of a lower arc-plate breakwater. The numerical model, which considers nonlinear interactions between waves and the arc-plate breakwater, has been constructed by using the velocity wave- generating method, the volume of fluid (VOF) method and the finite volume method. The results show that the relative width, relative height and relative submergence of the breakwater are three main influencing factors and have significant influence on wave energy dissipation of the lower arc-plate open breakwater. The transmission coefficient is found to decrease with the increasing relative width, and the minimum transmission coefficient is 0.15 when the relative width is 0.45. The reflection coefficient is found to vary slightly with the relative width, and the maximum reflection coefficient is 0.53 when the relative width is 0.45. The transmission and reflection coefficients are shown to increase with the relative wave height for approximately 85% of the experimental tests when the relative width is 0.19 0.45. The transmission coefficients at relative submergences of 0.04, 0.02 and 0 are clearly shown to be greater than those at relative submergences of 0.02 and 0.04, while the reflection coefficient exhibits the opposite relationship. After the wave interacts with the lower arc-plate breakwater, the wave energy is mainly converted into transmission, reflection and dissipation energies. The wave attenuation performance is clearly weakened for waves with greater heights and longer periods.展开更多
Bohai Rim region is an important economic development area and a large carbon emission area in China.It is of great significance to explore the total factor energy efficiency and its influencing factors for the low ca...Bohai Rim region is an important economic development area and a large carbon emission area in China.It is of great significance to explore the total factor energy efficiency and its influencing factors for the low carbon transformation and high-quality development of the Bohai Rim region.Based on the total factor energy efficiency framework,the DDF-DEA model was used to calculate the total factor energy efficiency,and the internal and external differences of the total factor energy efficiency were further analyzed.The internal and external influencing factors were determined by ML index method and classical endogenous growth theory,and then the Tobit panel model was used to empirically analyze the action mechanism of all influencing factors of total factor energy efficiency in the Bohai Rim region.The results show that the pure technical efficiency,scale efficiency and technological progress among the internal influencing factors contribute to the improvement of energy efficiency in the Bohai Rim region.Industrial structure,industrial internal structure and ownership structure inhibit the improvement of energy efficiency.Energy consumption structure and energy endowment also have a negative impact on energy efficiency.Therefore,measures such as promoting technological progress,adjusting economic structure and optimizing energy structure will effectively improve total factor energy efficiency in the Bohai Rim region.展开更多
[Objective] The research aimed to study influence factors of phosphorus removal by chemical method in sewage treatment system. [ Method] In different reaction systems, removal effect of the phosphorus in sewage by dos...[Objective] The research aimed to study influence factors of phosphorus removal by chemical method in sewage treatment system. [ Method] In different reaction systems, removal effect of the phosphorus in sewage by dosing lime and influence of the constraint factor were stud- ied. [ Result] Lime precipitation method treating high-concentration phosphorus wastewater could not only decline cost of phosphorus removal by chemical method, but also reach better treatment effect under suitable stirring and precipitation conditions by controlling alkalinity and pH. Phosphor- us content of chemical sludge after treatment could reach 9% -12%, with higher recyclable value. E Conclusion] Lime method treating phosphorus- rich sewage was more economic than low-concentration phosphorus sewage, and had very great potential for recycling phosphorus.展开更多
According to the data from Henan Statistical Yearbook from 2002 to 2008, from production capital, production conditions, labour inputs and financial support, this paper selects 11 variables influencing comprehensive p...According to the data from Henan Statistical Yearbook from 2002 to 2008, from production capital, production conditions, labour inputs and financial support, this paper selects 11 variables influencing comprehensive productivity of agriculture in Henan Province. Through calculation and analysis of grey correlation of variables and comprehensive productivity of agriculture, this paper determines the impact of different variables on comprehensive productivity of agriculture. The results show that the agricultural capital has become the most important factor influencing comprehensive productivity of agriculture in Henan Province, while the impact of production conditions, labour inputs and financial support on comprehensive productivity of agriculture in Henan Province diminishes in turn. Corresponding countermeasures and suggestions are put forward to promote the sustainable development of comprehensive productivity of agriculture in Henan Province as follows: strengthen agricultural financial system building, and ensure agricultural production expenditure; scientifically arrange allocation of agricultural resources, and improve agricultural production conditions; carry out training of agricultural skills, and elevate the quality of agricultural labour forces; increase financial expenditure for agricultural production, and optimize financial expenditure structure.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
BACKGROUND Knee osteoarthritis(KOA)is a prevalent degenerative joint disorder characterized by complex neuroinflammatory mechanisms involving peripheral-central nervous system crosstalk.Current research gaps exist reg...BACKGROUND Knee osteoarthritis(KOA)is a prevalent degenerative joint disorder characterized by complex neuroinflammatory mechanisms involving peripheral-central nervous system crosstalk.Current research gaps exist regarding the modulatory effects of biomechanical interventions such as postural correction training(PCT)on these pathways,particularly its impact on neurogenic inflammation and associated nerve dysfunction.AIM To examine the effect of PCT on chronic pain related to KOA,nerve function,and inflammatory factors and further assess the influencing factors.METHODS This study included 100 patients with chronic pain related to KOA admitted to our hospital from March 2022 to March 2024 who were selected as research subjects,and divided into a control group(conventional treatment,n=50)and observation group(combined treatment with PCT,n=50).Efficacy,pain[visual analog scale(VAS)],nerve function[the National Institute of Health Stroke Scale(NIHSS)]and inflammatory factors[interleukin(IL)-1β,IL-6,tumor necrosis factor-alpha(TNF-α),C-reactive protein(CRP)]were assessed and compared.Moreover,the factors influencing efficacy were assessed according to clinical efficacy.RESULTS The clinical effectiveness rate of 90.00%in the observation group was higher than that of 72.00%in the control group(P<0.05).VAS scores at 14 and 30 days of the intervention were lower than those before the intervention(P<0.05).Moreover,VAS scores in the observation group at 14 and 30 days after the intervention were lower than those in the control group(P<0.05).The NIHSS scores were lower after the intervention than those before the intervention for both groups(P<0.05).The improvement in NIHSS score in the observation group was higher than that in the control group(P<0.05).Inflammatory factors such as IL-1β,IL-6,TNF-α,and CRP in both groups among patients with osteoarthritis-related chronic pain were lower after the intervention than before the intervention(P<0.05).After the intervention,all inflammatory factors in the observation group were lower than those in the control group(P<0.05).The proportion of ineffective treatment combined with joint effusion,Kellgren-Lawrence(K-L)staging grade III-IV,fixed flexion contracture with varus and valgus deformity>5°,was higher in the control group than in the observation group(P<0.05),while the joint compartment involvement in the observation group was higher than that in the control group(P<0.05).The logistic regression results demonstrated that relevant joint effusion,K-L staging grade III-IV,fixed flexion contracture with varus and valgus deformity>5°,and intervention mode of PCT were higher in the control group than in the observation group(P<0.05)and were influencing factors on clinically ineffective treatment(P<0.05).CONCLUSION PCT can improve the treatment effect on chronic pain related to KOA,nerve function and inflammatory response.Joint effusion,joint stiffness,and KOA are factors for y ineffective treatment.Joint effusion,higher K-L stage,and larger flexion contracture were risk factors,while PCT was a protective factor for ineffective treatment.展开更多
Objective:To understand high school students’mastery of first aid knowledge and their needs for first aid training,analyze the influencing factors of their mastery of first aid knowledge,and provide a reference basis...Objective:To understand high school students’mastery of first aid knowledge and their needs for first aid training,analyze the influencing factors of their mastery of first aid knowledge,and provide a reference basis for targeted first aid training for high school students.Methods:A total of 930 high school students from three high schools in Nanchong City,Sichuan Province,were selected as the research subjects using the convenience sampling method.A selfmade questionnaire was used for the survey.SPSS 25.0 software was employed for data description and analysis.Results:The average score for high school students’mastery of first aid knowledge was(12.23±4.39),with a pass rate of 29.5%.There were significant differences in the correct response rates for each question(4.62% to 92.80%).92.9% of high school students expressed willingness to participate in first aid training.Multivariate logistic regression analysis revealed that participation in first aid training(not participating in training:OR=2.524,95%CI=1.858-3.428)was an influencing factor for high school students’mastery of first aid knowledge.Conclusion:High school students have insufficient mastery of first aid knowledge,and the correct response rates need to be improved.It is essential to enhance the popularization of first aid knowledge among high school students and implement diversified training formats and courses.展开更多
基金Supported by the PetroChina Science and Technology Project(2023ZZ0202)。
文摘The formation water sample in oil and gas fields may be polluted in processes of testing, trial production, collection, storage, transportation and analysis, making the properties of formation water not be reflected truly. This paper discusses identification methods and the data credibility evaluation method for formation water in oil and gas fields of petroliferous basins within China. The results of the study show that: (1) the identification methods of formation water include the basic methods of single factors such as physical characteristics, water composition characteristics, water type characteristics, and characteristic coefficients, as well as the comprehensive evaluation method of data credibility proposed on this basis, which mainly relies on the correlation analysis sodium chloride coefficient and desulfurization coefficient and combines geological background evaluation;(2) The basic identifying methods for formation water enable the preliminary identification of hydrochemical data and the preliminary screening of data on site, the proposed comprehensive method realizes the evaluation by classifying the CaCl2-type water into types A-I to A-VI and the NaHCO3-type water into types B-I to B-IV, so that researchers can make in-depth evaluation on the credibility of hydrochemical data and analysis of influencing factors;(3) When the basic methods are used to identify the formation water, the formation water containing anions such as CO_(3)^(2-), OH- and NO_(3)^(-), or the formation water with the sodium chloride coefficient and desulphurization coefficient not matching the geological setting, are all invaded with surface water or polluted by working fluid;(4) When the comprehensive method is used, the data credibility of A-I, A-II, B-I and B-II formation water can be evaluated effectively and accurately only if the geological setting analysis in respect of the factors such as formation environment, sampling conditions, condensate water, acid fluid, leaching of ancient weathering crust, and ancient atmospheric fresh water, is combined, although such formation water is believed with high credibility.
基金The National Key Research and Development Program of China(No.2018YFB1600300,2018YFB1600304,2018YFB1600305)Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX21_0133)the Scientific Research Foundation of Graduate School of Southeast University.
文摘To clarify the importance of various influencing factors on asphalt pavement rutting deformation and determine a screening method of model indicators,the data of the RIOHTrack full-scale track were examined using the factor analysis method(FAM).Taking the standard test pavement structure of RIOHTrack as an example,four rutting influencing factors from different aspects were determined through statistical analysis.Furthermore,the common influencing factors among the rutting influencing factors were studied based on FAM.Results show that the common factor can well characterize accumulative ESALs,center-point deflection,and temperature,besides humidity,which indicates that these three influencing factors can have an important impact on rutting.Moreover,an empirical rutting prediction model was established based on the selected influencing factors,which proved to exhibit high prediction accuracy.These analysis results demonstrate that the FAM is an effective screening method for rutting prediction model indicators,which provides a reference for the selection of independent model indicators in other rutting prediction model research when used in other areas and is of great significance for the prediction and control of rutting distress.
基金Project(51606224) supported by the National Natural Science Foundation of China
文摘The recently proposed interface propagation-based method has shown its advantages in obtaining the thermal conductivity of phase change materials during solid-liquid transition over conventional techniques. However, in previous investigation, the analysis on the measurement error was qualitative and only focused on the total effects on the measurement without decoupling the influencing factors. This paper discusses the effects of influencing factors on the measurement results for the interface propagation-based method. Numerical simulations were performed to explore the influencing factors, namely model simplification, subcooling and natural convection, along with their impact on the measurement process and corresponding measurement results. The numerical solutions were provided in terms of moving curves of the solid-liquid interface and the predicted values of thermal conductivity. Results indicated that the impact of simplified model was strongly dependent on Stefan number of the melting process. The degree of subcooling would lead to underestimated values for thermal conductivity prediction. The natural convection would intensify the heat transfer rate in the liquid region, thereby overestimating the obtained results of thermal conductivity. Correlations and experimental guidelines are provided. The relative errors are limited in ±1.5%,±3%and ±2% corresponding to the impact of simplified model, subcooling and natural convection, respectively.
文摘BACKGROUND The prevalence and severity of noncommunicable chronic diseases(NCDs)among Chinese residents have been increasing with mental health emerging as a critical challenge in disease management.AIM To examine the interactions between depression,anxiety symptoms,and related factors,and to identify key factors in the Chinese population with NCDs.METHODS Data from the Psychology and Behavior Investigation of Chinese Residents were used in a cross-sectional survey of 6182 individuals with NCDs.This study measured depression and anxiety symptoms as well as their influencing factorsincluding social environments,individual behaviors and lifestyles,and subjective indicators.A network analysis approach was used for data assessment.RESULTS Network analysis demonstrated that several central factors(media exposure,family health,problematic internet use,suboptimal health status,intimate relationship violence,tired or little energy,and nervousness/anxious/on edge)and bridge factors(media exposure,problematic internet use,intimate partner violence,health literacy,and suboptimal health status)that significantly influenced the co-occurrence and interconnectedness of depression and anxiety symptoms.Additionally,gender,ethnicity,residency,and living status did not significantly influence the overall network strength.CONCLUSION Depression and anxiety are prevalent among the Chinese population with NCDs.Effective interventions should focus on managing key symptoms,promoting correct media use for health information,and fostering healthier family relationships.
基金funded by the 2024 Research Project of Guangdong Academy of Human Resources-Research on the Training Mode of Digital Information-based Applied Talents in Private Higher Education Institutions of Guangdong Province(No.GDHRS-24-02-030)the 2023 Education and Teaching Reform Project of Guangzhou Institute of Science and Technology-Research on the Training Path of Applied Talents for Human Resource Management in Private Higher Education Institutions of Guangdong Province(No.2023JG056)Qualified Curriculum Construction Project of Guangzhou Institute of Science and Technology-Modern Enterprise Management(No.2024HGKC06).
文摘This study takes the human resource management major of Guangzhou Institute of Science and Technology as an example to discuss the factors influencing the applied talent training mode and improvement paths under digital informatization.The research points out that digital informatization poses new challenges and opportunities to higher education and requires the applied talent training mode to practice and innovate.This study identified five key influencing factors of the applied talent training mode under digital informatization:curriculum setting,teaching methods,faculty structure,practical teaching,and student training.This research presents the improvement paths,including optimizing curriculum settings,innovating teaching methods,adjusting teacher structure,improving practical teaching,and creating student training.Implementing these paths will help students master the latest knowledge and skills of digital informatization,improve their practical ability and innovative thinking to meet the social demand for human resource management professionals,and promote the development of higher education system.
基金Supported by Project of Agricultural Education Development Research Center of Southwest University
文摘Probit model is applied to analyze some key factors influencing farmers' willingness to participate in the new vocational training for farmers based on 683 questionnaires from 8 districts in Chongqing. The results show that individual and family factors significantly affect farmers' participation will. These factors are age,family scale and years of education. Age is the most important factor,family scale is of secondary importance and years of education are the third one. Meanwhile,years of education positively affect farmers' participation willingness;there is a negative correlation among age,family scale and this willingness. Organizer,rural economic development level and training experience have no significant influence on this willingness.
文摘The proposal of the strategy of developing the country through science education has clarified China’s demand for the development of the science and education industry and the cultivation of science and education talents,and the birth of Science Education majors is an important link in the cultivation of scientific literacy.Based on the grounded theory,we interviewed three Science Education graduates from a university and coded the interview data by using NVivo 12.0 to find eight important factors affecting their professional training and employment choices.The factors are“social factors,”“individual career choice factors,”“campus resources,”“employment advantages,”“professional self-development,”“teacher factors,”“planning for further education and employment,”and“student motivation.”This study analyzes the interaction between the influencing factors,constructs a theoretical model of the influencing factors of the quality of Science Education professional training,explores the problems of the training process of Science Education majors and employment dilemmas,and puts forward corresponding suggestions.
基金Key Project of National Natural Science Foundation of China, No.41430861 Foundation of Bureau of Floating Population, National Health and Family Planning Commission of China, No.201011
文摘Studying the change in population distribution and density can provide important basis for regional development and planning. The spatial patterns and driving factors of the change in population density in China were not clear yet. Therefore, using the population census data in 2000 and 2010, this study firstly analyzed the change of population density in China and divided the change in all 2353 counties into 4 types, consisting of rapid increase, slow increase, slow decrease and rapid decrease. Subsequently, based on the partial least square （PLS） regression method, we recognized the significant factors （among 11 natural and social-economic factors） impacting population density change for the whole country and counties with different types of population change. The results showed that： （1） compared to the population density in 2000, in 2010, the population density in most of the counties （over 60%） increased by 21 persons per km2 on average, while the population density in other counties decreased by 13 persons per km2. Of all the 2353 counties, 860 and 589 counties respectively showed rapid and slow increase in population density, while 458 and 446 coun- ties showed slow and rapid decrease in population density, respectively. （2） Among the 11 factors, social-economic factors impacted population density change more significantly than natural factors. The higher economic development level, better medical condition and stronger communication capability were the main pull factors of population increase. The dense population density was the main push factor of population decrease. These conclusions clarified the spatial pattern of population change and its influencing factors in China over the past 10 years and could provide helpful reference for the future population planning.
基金supported by the NSFC-Shandong Joint Fund(Grant Nos.U1706220 and U1806227)the National Natural Science Foundation of China(Grant Nos.51709140 and 51879019)the Key Laboratory of Coastal Disasters and Defence of Ministry of Education(Grant No.201703)
文摘Comprehensive experimental and numerical studies have been undertaken to investigate wave energy dissipation performance and main influencing factors of a lower arc-plate breakwater. The numerical model, which considers nonlinear interactions between waves and the arc-plate breakwater, has been constructed by using the velocity wave- generating method, the volume of fluid (VOF) method and the finite volume method. The results show that the relative width, relative height and relative submergence of the breakwater are three main influencing factors and have significant influence on wave energy dissipation of the lower arc-plate open breakwater. The transmission coefficient is found to decrease with the increasing relative width, and the minimum transmission coefficient is 0.15 when the relative width is 0.45. The reflection coefficient is found to vary slightly with the relative width, and the maximum reflection coefficient is 0.53 when the relative width is 0.45. The transmission and reflection coefficients are shown to increase with the relative wave height for approximately 85% of the experimental tests when the relative width is 0.19 0.45. The transmission coefficients at relative submergences of 0.04, 0.02 and 0 are clearly shown to be greater than those at relative submergences of 0.02 and 0.04, while the reflection coefficient exhibits the opposite relationship. After the wave interacts with the lower arc-plate breakwater, the wave energy is mainly converted into transmission, reflection and dissipation energies. The wave attenuation performance is clearly weakened for waves with greater heights and longer periods.
基金supported by the National Natural Science Foundation of China under Grant 71804089the Humanities and Social Sciences Youth Foundation of Ministry of Education of China under Grants 18YJCZH034 and 19YJC790128+3 种基金the Jiangsu Postdoctoral Research Foundation underGrant 2018K195C,the Natural Science Foundation of Shandong Province in China under Grant ZR2020QG054the Graduate Education Quality Improvement Project of Shandong Province,China under Grants SDYKC19180 and SDYAL19180The project number of“The quality course in Financial Statistics”is SDYKC19180The project number of“Financial Literacy Oriented Case Library of Derivative Financial Instruments Teaching”is SDYAL19180.
文摘Bohai Rim region is an important economic development area and a large carbon emission area in China.It is of great significance to explore the total factor energy efficiency and its influencing factors for the low carbon transformation and high-quality development of the Bohai Rim region.Based on the total factor energy efficiency framework,the DDF-DEA model was used to calculate the total factor energy efficiency,and the internal and external differences of the total factor energy efficiency were further analyzed.The internal and external influencing factors were determined by ML index method and classical endogenous growth theory,and then the Tobit panel model was used to empirically analyze the action mechanism of all influencing factors of total factor energy efficiency in the Bohai Rim region.The results show that the pure technical efficiency,scale efficiency and technological progress among the internal influencing factors contribute to the improvement of energy efficiency in the Bohai Rim region.Industrial structure,industrial internal structure and ownership structure inhibit the improvement of energy efficiency.Energy consumption structure and energy endowment also have a negative impact on energy efficiency.Therefore,measures such as promoting technological progress,adjusting economic structure and optimizing energy structure will effectively improve total factor energy efficiency in the Bohai Rim region.
文摘[Objective] The research aimed to study influence factors of phosphorus removal by chemical method in sewage treatment system. [ Method] In different reaction systems, removal effect of the phosphorus in sewage by dosing lime and influence of the constraint factor were stud- ied. [ Result] Lime precipitation method treating high-concentration phosphorus wastewater could not only decline cost of phosphorus removal by chemical method, but also reach better treatment effect under suitable stirring and precipitation conditions by controlling alkalinity and pH. Phosphor- us content of chemical sludge after treatment could reach 9% -12%, with higher recyclable value. E Conclusion] Lime method treating phosphorus- rich sewage was more economic than low-concentration phosphorus sewage, and had very great potential for recycling phosphorus.
文摘According to the data from Henan Statistical Yearbook from 2002 to 2008, from production capital, production conditions, labour inputs and financial support, this paper selects 11 variables influencing comprehensive productivity of agriculture in Henan Province. Through calculation and analysis of grey correlation of variables and comprehensive productivity of agriculture, this paper determines the impact of different variables on comprehensive productivity of agriculture. The results show that the agricultural capital has become the most important factor influencing comprehensive productivity of agriculture in Henan Province, while the impact of production conditions, labour inputs and financial support on comprehensive productivity of agriculture in Henan Province diminishes in turn. Corresponding countermeasures and suggestions are put forward to promote the sustainable development of comprehensive productivity of agriculture in Henan Province as follows: strengthen agricultural financial system building, and ensure agricultural production expenditure; scientifically arrange allocation of agricultural resources, and improve agricultural production conditions; carry out training of agricultural skills, and elevate the quality of agricultural labour forces; increase financial expenditure for agricultural production, and optimize financial expenditure structure.
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.
文摘BACKGROUND Knee osteoarthritis(KOA)is a prevalent degenerative joint disorder characterized by complex neuroinflammatory mechanisms involving peripheral-central nervous system crosstalk.Current research gaps exist regarding the modulatory effects of biomechanical interventions such as postural correction training(PCT)on these pathways,particularly its impact on neurogenic inflammation and associated nerve dysfunction.AIM To examine the effect of PCT on chronic pain related to KOA,nerve function,and inflammatory factors and further assess the influencing factors.METHODS This study included 100 patients with chronic pain related to KOA admitted to our hospital from March 2022 to March 2024 who were selected as research subjects,and divided into a control group(conventional treatment,n=50)and observation group(combined treatment with PCT,n=50).Efficacy,pain[visual analog scale(VAS)],nerve function[the National Institute of Health Stroke Scale(NIHSS)]and inflammatory factors[interleukin(IL)-1β,IL-6,tumor necrosis factor-alpha(TNF-α),C-reactive protein(CRP)]were assessed and compared.Moreover,the factors influencing efficacy were assessed according to clinical efficacy.RESULTS The clinical effectiveness rate of 90.00%in the observation group was higher than that of 72.00%in the control group(P<0.05).VAS scores at 14 and 30 days of the intervention were lower than those before the intervention(P<0.05).Moreover,VAS scores in the observation group at 14 and 30 days after the intervention were lower than those in the control group(P<0.05).The NIHSS scores were lower after the intervention than those before the intervention for both groups(P<0.05).The improvement in NIHSS score in the observation group was higher than that in the control group(P<0.05).Inflammatory factors such as IL-1β,IL-6,TNF-α,and CRP in both groups among patients with osteoarthritis-related chronic pain were lower after the intervention than before the intervention(P<0.05).After the intervention,all inflammatory factors in the observation group were lower than those in the control group(P<0.05).The proportion of ineffective treatment combined with joint effusion,Kellgren-Lawrence(K-L)staging grade III-IV,fixed flexion contracture with varus and valgus deformity>5°,was higher in the control group than in the observation group(P<0.05),while the joint compartment involvement in the observation group was higher than that in the control group(P<0.05).The logistic regression results demonstrated that relevant joint effusion,K-L staging grade III-IV,fixed flexion contracture with varus and valgus deformity>5°,and intervention mode of PCT were higher in the control group than in the observation group(P<0.05)and were influencing factors on clinically ineffective treatment(P<0.05).CONCLUSION PCT can improve the treatment effect on chronic pain related to KOA,nerve function and inflammatory response.Joint effusion,joint stiffness,and KOA are factors for y ineffective treatment.Joint effusion,higher K-L stage,and larger flexion contracture were risk factors,while PCT was a protective factor for ineffective treatment.
基金Scientific Research Plan Project of Tianjin Municipal Education Commission(Project No.:2023SK011)。
文摘Objective:To understand high school students’mastery of first aid knowledge and their needs for first aid training,analyze the influencing factors of their mastery of first aid knowledge,and provide a reference basis for targeted first aid training for high school students.Methods:A total of 930 high school students from three high schools in Nanchong City,Sichuan Province,were selected as the research subjects using the convenience sampling method.A selfmade questionnaire was used for the survey.SPSS 25.0 software was employed for data description and analysis.Results:The average score for high school students’mastery of first aid knowledge was(12.23±4.39),with a pass rate of 29.5%.There were significant differences in the correct response rates for each question(4.62% to 92.80%).92.9% of high school students expressed willingness to participate in first aid training.Multivariate logistic regression analysis revealed that participation in first aid training(not participating in training:OR=2.524,95%CI=1.858-3.428)was an influencing factor for high school students’mastery of first aid knowledge.Conclusion:High school students have insufficient mastery of first aid knowledge,and the correct response rates need to be improved.It is essential to enhance the popularization of first aid knowledge among high school students and implement diversified training formats and courses.
