In arid and semi-arid regions, freshwater scarcity and high water salinity are serious and chronic problems for crop production and sustainable agriculture development. We conducted a field experiment to evaluate the ...In arid and semi-arid regions, freshwater scarcity and high water salinity are serious and chronic problems for crop production and sustainable agriculture development. We conducted a field experiment to evaluate the effect of irrigation water salinity and nitrogen（N） application rate on soil salinity and cotton yield under drip irrigation during the 2011 and 2012 growing seasons. The experimental design was a 3×4 factorial with three irrigation water salinity levels（0.35, 4.61 and 8.04 dS/m） and four N application rates（0, 240, 360 and 480 kg N/hm2）. Results showed that soil water content increased as the salinity of the irrigation water increased, but decreased as the N application rate increased. Soil salinity increased as the salinity of the irrigation water increased. Specifically, soil salinity measured in 1：5 soil：water extracts was 218% higher in the 4.61 dS/m treatment and 347% higher in the 8.04 dS/m treatment than in the 0.35 dS/m treatment. Nitrogen fertilizer application had relatively little effect on soil salinity, increasing salinity by only 3%–9% compared with the unfertilized treatment. Cotton biomass, cotton yield and evapotranspiration（ET） decreased significantly in both years as the salinity of irrigation water increased, and increased as the N application rate increased regardless of irrigation water salinity; however, the positive effects of N application were reduced when the salinity of the irrigation water was 8.04 dS/m. Water use efficiency（WUE） was significantly higher by 11% in the 0.35 dS/m treatment than in the 8.04 dS/m treatment. There was no significant difference in WUE between the 0.35 dS/m treatment and the 4.61 dS/m treatment. The WUE was also significantly affected by the N application rate. The WUE was highest in the 480 kg N/hm2 treatment, being 31% higher than that in the 0 kg N/hm2 treatment and 12% higher than that in the 240 kg N/hm2 treatment. There was no significant difference between the 360 and 480 kg N/hm2 treatments. The N use efficiency（NUE） was significantly lower in the 8.04 dS/m treatment than in either the 4.61 dS/m or the 0.35 dS/m treatment. There was no significant difference in NUE between the latter two treatments. These results suggest that irrigation water with salinity 〈4.61 dS/m does not have an obvious negative effect on cotton production, WUE or NUE under the experimental conditions. Application of N fertilizer（0–360 kg N/hm2） could alleviate salt damage, promote cotton growth, and increase both cotton yield and water use efficiency.展开更多
Using observed snow cover dam from Chinese meteorological stations, this study indicated that annual mean snow depth, Snow Water Equivalent （SWE）, and snow density during 1957-2009 were 0.49 cm, 0.7 ram, and 0.14 g/...Using observed snow cover dam from Chinese meteorological stations, this study indicated that annual mean snow depth, Snow Water Equivalent （SWE）, and snow density during 1957-2009 were 0.49 cm, 0.7 ram, and 0.14 g/cm3 over China as a whole, re- spectively. On average, they were all the smallest in the Qinghai-Tibetan Plateau （QTP）, and were greater in northwestern China （NW）. Spatially, the regions with greater annual mean snow depth and SWE were located in northeastern China including eastern Inner Mongolia （NE）, northern Xinjiang municipality, and a small fraction of southwestern QTP. Annual mean snow density was below 0.14 g/cm3 in most of China, and was higher in the QTP, NE, and NW. The trend analyses revealed that both annual mean snow depth and SWE presented increasing trends in NE, NW, the QTP, and China as a whole during 1957-2009. Although the trend in China as a whole was not significant, the amplitude of variation became increasingly greater in the second half of the 20th century. Spatially, the statistically significant （95%-level） positive trends for annual mean snow depth were located in western and northem NE, northwestem Xinjiang municipality, and northeastem QTP. The distribution of positive and negative trends for annu- al mean SWE were similar to that of snow depth in position, but not in range. The range with positive trends of SWE was not as large as that of snow depth, but the range with negative trends was larger.展开更多
Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five ...Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five kinds of systematic quality characteristics,nearly 2,000,000 real-world data points were successively characterized from Ginkgo Folium tablet manufacturing.Then,from simplex to the multivariate system,the digital process capability diagnosis strategy was proposed by multivariate C_(pk)integrated Bootstrap-t.The C_(pk)of Ginkgo Folium extracts,granules,and tablets were discovered,which was 0.59,0.42,and 0.78,respectively,indicating a relatively weak process capability,especially in granulating.Furthermore,the quality traceability was discovered from unit to end-to-end analysis,which decreased from 2.17 to 1.73.This further proved that attention should be paid to granulating to improve the quality characteristic.In conclusion,this paper provided a data-driven engineering strategy empowering industrial innovation to face the challenge of smart pharmaceutical manufacturing.展开更多
Based on remote sensing snow water equivalent （SWE） data, the simulated SWE in 20C3M experiments from 14 models attend- hag the third phase of the Coupled Models for Inter-comparison Project （CMIP3） was first eval...Based on remote sensing snow water equivalent （SWE） data, the simulated SWE in 20C3M experiments from 14 models attend- hag the third phase of the Coupled Models for Inter-comparison Project （CMIP3） was first evaluated by computing the different percentage, spatial correlation coefficient, and standard deviation of biases during 1979-2000. Then, the diagnosed ten models that performed better simulation in Eurasian SWE were aggregated by arithmetic mean to project the changes of Eurasian SWE in 2002-2060. Results show that SWE will decrease significantly for Eurasia as a whole in the next 50 years. Spatially, significant decreasing trends dominate Eurasia except for significant increase in the northeastern part. Seasonally, decreasing proportion will be greatest in summer indicating that snow cover in wanner seasons is more sensitive to climate warming. However, absolute decreasing trends are not the greatest in winter, but in spring. This is caused by the greater magnitude of negative trends, but smaller positive trends in spring than in winter. The changing characteristics of increasing in eastern Eurasia and decreasing in western Eurasia and over the Qinghai-Tibetan Plateau favor the viewpoint that there will be more rainfall in North China and less in the middle and lower reaches of the Yangtze River in summer. Additionally, the decreasing rate and extent with significant decreasing trends under SRES A2 are greater than those under SRES B1, indicating that the emission of greenhouse gases （GHG） will speed up the decreasing rate of snow cover both temporally and spatially. It is crucial to control the discharge of GHG emissions for mitigating the disappearance of snow cover over Eurasia.展开更多
Background:Tri-ponderal mass index(TMI)has been reported to be a more accurate estimate of body fat than body mass index(BMI).This study aims to compare the effectiveness of TMI and BMI in identifying hypertension,dys...Background:Tri-ponderal mass index(TMI)has been reported to be a more accurate estimate of body fat than body mass index(BMI).This study aims to compare the effectiveness of TMI and BMI in identifying hypertension,dyslipidemia,impaired fasting glucose(IFG),abdominal obesity,and clustered cardio-metabolic risk factors(CMRFs)in 3-to 17-year-old children.Methods:A total of 1587 children aged 3 to 17 years were included.Logistic regression was used to evaluate correlations between BMI and TMI.Area under the curves(AUCs)were used to compare discriminative capability among indicators.BMI was converted to BMI-z scores,and accuracy was compared by false-positive rate,false-negative rate,and total misclassification rate.Results:Among children aged 3 to 17 years,the mean TMI was 13.57±2.50 kg/m 3 for boys and 13.3±2.33 kg/m 3 for girls.Odds ratios(ORs)of TMI for hypertension,dyslipidemia,abdominal obesity,and clustered CMRFs ranged from 1.13 to 3.15,higher than BMI,whose ORs ranged from 1.08 to 2.98.AUCs showed similar ability of TMI(AUC:0.83)and BMI(AUC:0.85)in identifying clustered CMRFs.For abdominal obesity and hypertension,the AUC of TMI was 0.92 and 0.64,respectively,which was significantly better than that of BMI,0.85 and 0.61.AUCs of TMI for dyslipidemia and IFG were 0.58 and 0.49.When 85th and 95th of TMI were set as thresholds,total misclassification rates of TMI for clustered CMRFs ranged from 6.5%to 16.4%,which was not significantly different from that of BMI-z scores standardized according to World Health Organization criteria.Conclusions:TMI was found to have equal or even better effectiveness in comparison with BMI in identifying hypertension,abdominal obesity,and clustered CMRFs TMI was more stable than BMI in 3-to 17-year-old children,while it failed to identify dyslipidemia and IFG.It is worth considering the use of TMI for screening CMRFs in children and adolescents.展开更多
Oligoasthenospermia is the primary cause of infertility.However,there are still enormous challenges in the screening of critical candidates and targets of oligoasthenospermia owing to its complex mechanism.In this stu...Oligoasthenospermia is the primary cause of infertility.However,there are still enormous challenges in the screening of critical candidates and targets of oligoasthenospermia owing to its complex mechanism.In this study,stem cell factor(SCF),c-kit,and transient receptor potential vanilloid 1(TRPV1)biosensors were successfully established and applied to studying apoptosis and autophagy mechanisms.Interestingly,the detection limit reached 2.787×10^(-15)g/L,and the quantitative limit reached 1.0×10^(-13)g/L.Furthermore,biosensors were used to investigate the interplay between autophagy and apoptosis.Schisandrin A is an excellent candidate to form a system with c-kit similar to SCF/c-kit with a detection constant(K_(D))of 5.701×10^(-11)mol/L,whereas it had no affinity for SCF.In addition,it also inhibited autophagy in oligoasthenospermia through antagonizing TRPV1 with a K_(D) of up to 4.181×10^(-10)mol/L.In addition,in vivo and in vitro experiments were highly consistent with the biosensor.In summary,high-potency schisandrin A and two potential targets were identified,through which schisandrin A could reverse the apoptosis caused by excessive autophagy during oligoasthenospermia.Our study provides promising insights into the discovery of effective compounds and potential targets via a well-established in vitro-in vivo strategy.展开更多
基金funded by the National Basic Research Program of China (2009CB825101)the National Natural Science Foundation of China (30960210)
文摘In arid and semi-arid regions, freshwater scarcity and high water salinity are serious and chronic problems for crop production and sustainable agriculture development. We conducted a field experiment to evaluate the effect of irrigation water salinity and nitrogen（N） application rate on soil salinity and cotton yield under drip irrigation during the 2011 and 2012 growing seasons. The experimental design was a 3×4 factorial with three irrigation water salinity levels（0.35, 4.61 and 8.04 dS/m） and four N application rates（0, 240, 360 and 480 kg N/hm2）. Results showed that soil water content increased as the salinity of the irrigation water increased, but decreased as the N application rate increased. Soil salinity increased as the salinity of the irrigation water increased. Specifically, soil salinity measured in 1：5 soil：water extracts was 218% higher in the 4.61 dS/m treatment and 347% higher in the 8.04 dS/m treatment than in the 0.35 dS/m treatment. Nitrogen fertilizer application had relatively little effect on soil salinity, increasing salinity by only 3%–9% compared with the unfertilized treatment. Cotton biomass, cotton yield and evapotranspiration（ET） decreased significantly in both years as the salinity of irrigation water increased, and increased as the N application rate increased regardless of irrigation water salinity; however, the positive effects of N application were reduced when the salinity of the irrigation water was 8.04 dS/m. Water use efficiency（WUE） was significantly higher by 11% in the 0.35 dS/m treatment than in the 8.04 dS/m treatment. There was no significant difference in WUE between the 0.35 dS/m treatment and the 4.61 dS/m treatment. The WUE was also significantly affected by the N application rate. The WUE was highest in the 480 kg N/hm2 treatment, being 31% higher than that in the 0 kg N/hm2 treatment and 12% higher than that in the 240 kg N/hm2 treatment. There was no significant difference between the 360 and 480 kg N/hm2 treatments. The N use efficiency（NUE） was significantly lower in the 8.04 dS/m treatment than in either the 4.61 dS/m or the 0.35 dS/m treatment. There was no significant difference in NUE between the latter two treatments. These results suggest that irrigation water with salinity 〈4.61 dS/m does not have an obvious negative effect on cotton production, WUE or NUE under the experimental conditions. Application of N fertilizer（0–360 kg N/hm2） could alleviate salt damage, promote cotton growth, and increase both cotton yield and water use efficiency.
基金supported by the opening fund from the State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences(SKLCS 08-07)the National Postdoctoral Scientific Foundation (20080440342)
基金supported by the National Natural Science Foundation of China(40901045)the China Meteorological Administration's special funds for scientific research on public causes(GYHY200906017)
文摘Using observed snow cover dam from Chinese meteorological stations, this study indicated that annual mean snow depth, Snow Water Equivalent （SWE）, and snow density during 1957-2009 were 0.49 cm, 0.7 ram, and 0.14 g/cm3 over China as a whole, re- spectively. On average, they were all the smallest in the Qinghai-Tibetan Plateau （QTP）, and were greater in northwestern China （NW）. Spatially, the regions with greater annual mean snow depth and SWE were located in northeastern China including eastern Inner Mongolia （NE）, northern Xinjiang municipality, and a small fraction of southwestern QTP. Annual mean snow density was below 0.14 g/cm3 in most of China, and was higher in the QTP, NE, and NW. The trend analyses revealed that both annual mean snow depth and SWE presented increasing trends in NE, NW, the QTP, and China as a whole during 1957-2009. Although the trend in China as a whole was not significant, the amplitude of variation became increasingly greater in the second half of the 20th century. Spatially, the statistically significant （95%-level） positive trends for annual mean snow depth were located in western and northem NE, northwestem Xinjiang municipality, and northeastem QTP. The distribution of positive and negative trends for annu- al mean SWE were similar to that of snow depth in position, but not in range. The range with positive trends of SWE was not as large as that of snow depth, but the range with negative trends was larger.
基金supported by the National Postdoctoral Scientific Foundation(20080440342)the opening fund from the State Key Laboratory of Cryospheric Sciences,Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences(SKLCS 08-07)
基金co-National Outstanding Youth Science Fund Project of National Natural Science Foundation of China(Grant No.82022073,China)Major scientific and technological R&D projects in Jiangxi Province(Grant No.20203ABC28W018,China)National Key Research and Development Program of China(Grant No.2018YFC1706900,China)。
文摘Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five kinds of systematic quality characteristics,nearly 2,000,000 real-world data points were successively characterized from Ginkgo Folium tablet manufacturing.Then,from simplex to the multivariate system,the digital process capability diagnosis strategy was proposed by multivariate C_(pk)integrated Bootstrap-t.The C_(pk)of Ginkgo Folium extracts,granules,and tablets were discovered,which was 0.59,0.42,and 0.78,respectively,indicating a relatively weak process capability,especially in granulating.Furthermore,the quality traceability was discovered from unit to end-to-end analysis,which decreased from 2.17 to 1.73.This further proved that attention should be paid to granulating to improve the quality characteristic.In conclusion,this paper provided a data-driven engineering strategy empowering industrial innovation to face the challenge of smart pharmaceutical manufacturing.
基金supported by the National Natural Science Foundation of China (40901045)
文摘Based on remote sensing snow water equivalent （SWE） data, the simulated SWE in 20C3M experiments from 14 models attend- hag the third phase of the Coupled Models for Inter-comparison Project （CMIP3） was first evaluated by computing the different percentage, spatial correlation coefficient, and standard deviation of biases during 1979-2000. Then, the diagnosed ten models that performed better simulation in Eurasian SWE were aggregated by arithmetic mean to project the changes of Eurasian SWE in 2002-2060. Results show that SWE will decrease significantly for Eurasia as a whole in the next 50 years. Spatially, significant decreasing trends dominate Eurasia except for significant increase in the northeastern part. Seasonally, decreasing proportion will be greatest in summer indicating that snow cover in wanner seasons is more sensitive to climate warming. However, absolute decreasing trends are not the greatest in winter, but in spring. This is caused by the greater magnitude of negative trends, but smaller positive trends in spring than in winter. The changing characteristics of increasing in eastern Eurasia and decreasing in western Eurasia and over the Qinghai-Tibetan Plateau favor the viewpoint that there will be more rainfall in North China and less in the middle and lower reaches of the Yangtze River in summer. Additionally, the decreasing rate and extent with significant decreasing trends under SRES A2 are greater than those under SRES B1, indicating that the emission of greenhouse gases （GHG） will speed up the decreasing rate of snow cover both temporally and spatially. It is crucial to control the discharge of GHG emissions for mitigating the disappearance of snow cover over Eurasia.
基金The Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority(No.XTCX201813)
文摘Background:Tri-ponderal mass index(TMI)has been reported to be a more accurate estimate of body fat than body mass index(BMI).This study aims to compare the effectiveness of TMI and BMI in identifying hypertension,dyslipidemia,impaired fasting glucose(IFG),abdominal obesity,and clustered cardio-metabolic risk factors(CMRFs)in 3-to 17-year-old children.Methods:A total of 1587 children aged 3 to 17 years were included.Logistic regression was used to evaluate correlations between BMI and TMI.Area under the curves(AUCs)were used to compare discriminative capability among indicators.BMI was converted to BMI-z scores,and accuracy was compared by false-positive rate,false-negative rate,and total misclassification rate.Results:Among children aged 3 to 17 years,the mean TMI was 13.57±2.50 kg/m 3 for boys and 13.3±2.33 kg/m 3 for girls.Odds ratios(ORs)of TMI for hypertension,dyslipidemia,abdominal obesity,and clustered CMRFs ranged from 1.13 to 3.15,higher than BMI,whose ORs ranged from 1.08 to 2.98.AUCs showed similar ability of TMI(AUC:0.83)and BMI(AUC:0.85)in identifying clustered CMRFs.For abdominal obesity and hypertension,the AUC of TMI was 0.92 and 0.64,respectively,which was significantly better than that of BMI,0.85 and 0.61.AUCs of TMI for dyslipidemia and IFG were 0.58 and 0.49.When 85th and 95th of TMI were set as thresholds,total misclassification rates of TMI for clustered CMRFs ranged from 6.5%to 16.4%,which was not significantly different from that of BMI-z scores standardized according to World Health Organization criteria.Conclusions:TMI was found to have equal or even better effectiveness in comparison with BMI in identifying hypertension,abdominal obesity,and clustered CMRFs TMI was more stable than BMI in 3-to 17-year-old children,while it failed to identify dyslipidemia and IFG.It is worth considering the use of TMI for screening CMRFs in children and adolescents.
基金co-supported by National Outstanding Youth Science Fund Project of National Natural Science Foundation of China(No.82022073)National Natural Science Foundation of China(No.82174389)+1 种基金Natural Science Foundation of Beijing Municipality(No.7202115,China)Postdoctoral Research Foundation of China(No.2021M690474)。
文摘Oligoasthenospermia is the primary cause of infertility.However,there are still enormous challenges in the screening of critical candidates and targets of oligoasthenospermia owing to its complex mechanism.In this study,stem cell factor(SCF),c-kit,and transient receptor potential vanilloid 1(TRPV1)biosensors were successfully established and applied to studying apoptosis and autophagy mechanisms.Interestingly,the detection limit reached 2.787×10^(-15)g/L,and the quantitative limit reached 1.0×10^(-13)g/L.Furthermore,biosensors were used to investigate the interplay between autophagy and apoptosis.Schisandrin A is an excellent candidate to form a system with c-kit similar to SCF/c-kit with a detection constant(K_(D))of 5.701×10^(-11)mol/L,whereas it had no affinity for SCF.In addition,it also inhibited autophagy in oligoasthenospermia through antagonizing TRPV1 with a K_(D) of up to 4.181×10^(-10)mol/L.In addition,in vivo and in vitro experiments were highly consistent with the biosensor.In summary,high-potency schisandrin A and two potential targets were identified,through which schisandrin A could reverse the apoptosis caused by excessive autophagy during oligoasthenospermia.Our study provides promising insights into the discovery of effective compounds and potential targets via a well-established in vitro-in vivo strategy.
