An integrated cotton fiber quality index （ICFQI） model with cotton fiber qualities which can directly express cotton fiber integrated quality and spinning yarn quality was studied. The fiber length, strength, Micron...An integrated cotton fiber quality index （ICFQI） model with cotton fiber qualities which can directly express cotton fiber integrated quality and spinning yarn quality was studied. The fiber length, strength, Micronalre （fiber fineness and fiber maturity）, uniformity of fiber length, and short fiber content are the pivotal indexes expressing ICFQI. All of the results above are the basic knowledge to build up the models of ICFQI. According to spinning consistency index （SCI）, spinning strength and spinning yarn integrated quality, ICFQI was the best choice. As the methods of ICFQI had quite a lot of advantages like explicit mechanism, few independent variables. The integrated fiber quality index had a significant positive correlation with yarn strength and spinning consistency, significant negative correlation with yarn evenness and yarn thin places. In additional, the model of the relationship between ICFQI and SCI was established as： SCI=0. 235 6·ICFQI ＋56.153. It was concluded that ICFQI value was the shared reference index for the testing of fiber inspection agency and the selection and distribution of raw cotton bales by textile mills.展开更多
With the support by the National Natural Science Foundation of China,the research team led by Prof.Qi Lianwen(齐炼文)at the State Key Laboratory of Natural Medicines,China Pharmaceutical University,uncovered the distu...With the support by the National Natural Science Foundation of China,the research team led by Prof.Qi Lianwen(齐炼文)at the State Key Laboratory of Natural Medicines,China Pharmaceutical University,uncovered the disturbed metabolic pathways to assess the diagnostic value of metabolomics-based biomarkers in different types of coronary artery disease(CAD),which was published in Journal of the展开更多
Introduction:Sleep is fundamental to health,yet comprehensive data characterizing sleep patterns across China’s diverse population remain scarce.This national study systematically assessed sleep behaviors among Chine...Introduction:Sleep is fundamental to health,yet comprehensive data characterizing sleep patterns across China’s diverse population remain scarce.This national study systematically assessed sleep behaviors among Chinese residents aged 15 years and above.Methods:A population-based cross-sectional survey was conducted in 2024 among individuals aged 15 years and older,using multistage stratified cluster random sampling.Trained investigators collected data on sleep duration,sleep latency,bedtime,and wake-up time through standardized questionnaires.Statistical analyses incorporated sampling weights to ensure population representativeness,and stratified analyses examined sleep patterns across a range of demographic subgroups.Results:The population-weighted mean sleep duration among Chinese residents aged 15 years and older was 7.24[95%confidence interval(CI):7.16,7.32]hours in 2024.Mean bedtime and wake-up time were 22:08(21:58,22:18)and 6:18(6:06,6:30),respectively,with a mean sleep latency of 27.45(26.39,28.51)minutes.Age-stratified analyses revealed notable sex differences in sleep duration:among adults aged 18-44 years,females slept longer than males[7.66(7.59,7.73)hours versus 7.49(7.41,7.57)hours],whereas among those aged 45-64 years,females slept less[6.82(6.72,6.92)hours versus 6.97(6.90,7.04)hours].Rural adolescents slept longer than their urban counterparts[8.39(8.14,8.64)hours versus 8.00(7.78,8.22)hours].Both education level and occupation further influenced sleep duration and timing.Conclusion:Sleep patterns among Chinese residents vary substantially by age,sex,and socio-environmental context.Effective sleep health strategies must be population-specific and tailored,rather than relying on uniform recommendations.Public health interventions should explicitly address the distinct socioeconomic and environmental determinants that shape sleep in different population segments,thereby optimizing sleep outcomes across diverse settings.展开更多
基金China/CSIRO Project on Predicting Yarn Quality from Cotton Fineness and Maturity Measurements(No. 400012)
文摘An integrated cotton fiber quality index （ICFQI） model with cotton fiber qualities which can directly express cotton fiber integrated quality and spinning yarn quality was studied. The fiber length, strength, Micronalre （fiber fineness and fiber maturity）, uniformity of fiber length, and short fiber content are the pivotal indexes expressing ICFQI. All of the results above are the basic knowledge to build up the models of ICFQI. According to spinning consistency index （SCI）, spinning strength and spinning yarn integrated quality, ICFQI was the best choice. As the methods of ICFQI had quite a lot of advantages like explicit mechanism, few independent variables. The integrated fiber quality index had a significant positive correlation with yarn strength and spinning consistency, significant negative correlation with yarn evenness and yarn thin places. In additional, the model of the relationship between ICFQI and SCI was established as： SCI=0. 235 6·ICFQI ＋56.153. It was concluded that ICFQI value was the shared reference index for the testing of fiber inspection agency and the selection and distribution of raw cotton bales by textile mills.
文摘With the support by the National Natural Science Foundation of China,the research team led by Prof.Qi Lianwen(齐炼文)at the State Key Laboratory of Natural Medicines,China Pharmaceutical University,uncovered the disturbed metabolic pathways to assess the diagnostic value of metabolomics-based biomarkers in different types of coronary artery disease(CAD),which was published in Journal of the
基金Supported by the Chinese Sleep Research Society and the General Program of the National Natural Science Foundation of China(Grant No.81872721).
文摘Introduction:Sleep is fundamental to health,yet comprehensive data characterizing sleep patterns across China’s diverse population remain scarce.This national study systematically assessed sleep behaviors among Chinese residents aged 15 years and above.Methods:A population-based cross-sectional survey was conducted in 2024 among individuals aged 15 years and older,using multistage stratified cluster random sampling.Trained investigators collected data on sleep duration,sleep latency,bedtime,and wake-up time through standardized questionnaires.Statistical analyses incorporated sampling weights to ensure population representativeness,and stratified analyses examined sleep patterns across a range of demographic subgroups.Results:The population-weighted mean sleep duration among Chinese residents aged 15 years and older was 7.24[95%confidence interval(CI):7.16,7.32]hours in 2024.Mean bedtime and wake-up time were 22:08(21:58,22:18)and 6:18(6:06,6:30),respectively,with a mean sleep latency of 27.45(26.39,28.51)minutes.Age-stratified analyses revealed notable sex differences in sleep duration:among adults aged 18-44 years,females slept longer than males[7.66(7.59,7.73)hours versus 7.49(7.41,7.57)hours],whereas among those aged 45-64 years,females slept less[6.82(6.72,6.92)hours versus 6.97(6.90,7.04)hours].Rural adolescents slept longer than their urban counterparts[8.39(8.14,8.64)hours versus 8.00(7.78,8.22)hours].Both education level and occupation further influenced sleep duration and timing.Conclusion:Sleep patterns among Chinese residents vary substantially by age,sex,and socio-environmental context.Effective sleep health strategies must be population-specific and tailored,rather than relying on uniform recommendations.Public health interventions should explicitly address the distinct socioeconomic and environmental determinants that shape sleep in different population segments,thereby optimizing sleep outcomes across diverse settings.
