目的探索不同治疗阶段的社区美沙酮维持治疗受治者服药剂量模式,以提高受治者的治疗依从性和治疗效果。方法选择广州市荔湾区药物维持治疗门诊自2006年9月30日至2015年6月1日所有的受治者。根据入组时间将受治者分为新入组(入组小于1年...目的探索不同治疗阶段的社区美沙酮维持治疗受治者服药剂量模式,以提高受治者的治疗依从性和治疗效果。方法选择广州市荔湾区药物维持治疗门诊自2006年9月30日至2015年6月1日所有的受治者。根据入组时间将受治者分为新入组(入组小于1年)、稳定治疗组(入组1年至5年)和长期维持组(入组5年以上)。对所有受治者于入组时进行问卷调查,记录其人口学资料、过去药物滥用情况、HIV和HCV感染情况、入组后服药日期及每天服药剂量。结果本研究纳入855名受治者。三组受治者的剂量在1个月内迅速上升达到稳定剂量后,新入组和稳定治疗组的受治者治疗剂量均呈现下降趋势。三组受治者在各个测量的时间点,剂量差异均具有统计学意义(P<0.001)。新入组治疗者在一个月内每周平均剂量上升3.39 m L(P=0.004),剂量达(46.62±21.27)m L,一个月后约每月下降0.09 m L(P=0.003);稳定治疗组受治者在一个月内平均每周上升4.46 m L(P<0.001),至一个月时达(50.39±19.07)m L,之后平均每月下降0.03 m L(P<0.001);长期维持治疗组的受治者在1个月内以每周4.73 m L速度迅速上升(P<0.001),达到(46.57±18.12)m L,一个月后每月继续上升0.07 m L(P<0.001),于1年后剂量达到(49.77±19.05)m L后每年下降0.007 m L(P=0.008)。结论不同治疗阶段的社区美沙酮维持治疗受治者呈现不同的服药模式。本研究中不同治疗阶段受治者的治疗模式,可为指导门诊医生制定合理的服药计划提供参考。展开更多
Study on the regional characteristics of soil organic carbon （SOC） density in farmland will not only contribute greatly to the technique of soil productivity enhancement, but also give evidences of technique selecti...Study on the regional characteristics of soil organic carbon （SOC） density in farmland will not only contribute greatly to the technique of soil productivity enhancement, but also give evidences of technique selection and policy making for carbon sequestration in soils. Based on the second national soil survey of China, the situation of SOC density in the plow layer of farmland was analyzed under different land use patterns. Results showed that SOC density in the plow layer was about 3.15 kg m^-2 in average ranging from 0.81 to 12.68 kg m^-2. The highest density was found in the southeastern region with an average of 3.63 kg ma, while the lowest occurring in the northwestern region with an average of 3.00 kg m^-2. The variation coefficient of SOC density in the plow layer of farmland was 57%, which was 35% lower than that of non-farmland soils. Compared to SOC density in the dry land, SOC density in paddy soils was 13% higher with a lower variation coefficient between different regions. In addition, the relationships between the climatic factors （annual average temperature and precipitation） and SOC density were lower in farmland than those in non-farmland soils, as well as lower in paddy soils than those in dry land of farmland. These results suggest that anthropogenic disturbances have great impacts on SOC density in farmland soils, especially in paddy soils, indicating that Chinese rice cropping may contribute greatly to the SOC stability and sequestration in paddy field.展开更多
Objective To predict the molecular mechanism of Dihuang(Rehmanniae Radix)in the treatment of diabetic nephropathy(DN)complicated with depression based on network pharmacology.Methods The components of Dihuang(Rehmanni...Objective To predict the molecular mechanism of Dihuang(Rehmanniae Radix)in the treatment of diabetic nephropathy(DN)complicated with depression based on network pharmacology.Methods The components of Dihuang(Rehmanniae Radix)were identified from the Integrated Pharmacology-based Research Platform of Traditional Chinese Medicine(TCMIP),Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and relevant literature.The component targets were detected by combining the SwissTargetPrediction and Pub Chem databases.Disease targets were collected from the Therapeutic Target Database(TTD),Dis Ge NET,and Ensembl databases with“diabetic nephropathy”and“depression”as keywords.The disease-component targets were mapped using Venny 2.1.0 to obtain potential targets.A protein-protein interaction(PPI)network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)database and Cytoscape 3.7.2.The co-expression genes of the key targets were collected based on the COXPRESdb 7.3.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were performed for potential targets using R language.Target-component docking was verified and evaluated using Discovery Studio 4.5.Results According to the databases and literature reports,Dihuang(Rehmanniae Radix)contained 65 active components,and had 155 related targets for the treatment of DN complicated with depression.PPI screening showed that the key targets included serine/threonine protein kinase 1(AKT1),signal transducer and activator transcription 3(STAT3),interleukin 6(IL-6),mitogen-activated protein kinase 1(MAPK1),and vascular endothelial growth factor A(VEGFA),etc.GO enrichment analysis mainly involved biological processes,such as lipid metabolism,protein secretion regulation,cell homeostasis,and phosphatidylinositol 3 kinase activity.KEGG pathway enrichment analysis included the role of the AGE-RAGE signaling pathway in diabetic complements,insulin resistance(IR),neurotrophin signal path,Toll-like receptor signaling pathway,relaxin signaling pathway,epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs),etc.Molecular docking showed that the target had high affinity for stachyose,manninotriose,verbascose,nigerose,etc.Conclusion Based on network parmacology,this study preliminarily predict the effects of Dihuang(Rehmanniae Radix)in treating DN complicated with depression by regulating inflammation,glucose metabolism,nution nerve,etc.展开更多
In arid and semi-arid areas,the profitability of irrigated agriculture mainly depends on the availability of water resources and optimal cropping patterns of irrigation districts.In this study,an integrated agricultur...In arid and semi-arid areas,the profitability of irrigated agriculture mainly depends on the availability of water resources and optimal cropping patterns of irrigation districts.In this study,an integrated agricultural cropping pattern optimization model was developed with considering the uncertainty of water availability and water saving potential in the future,aiming to maximize agricultural net benefit per unit of irrigation water.The available water which was based on the uncertainty of runoff was divided into five scenarios.The irrigation water-saving potential in the future was quantified by assuming an increase in the rate irrigation water-saving of 10% and 20%.The model was applied to the middle reaches of Heihe River basin,in Gansu Province,China.Results showed that if the irrigation water-saving rate was assumed to increase by 10%,then the net water-saving quantity would increase by 21.5-22.5 million m3 and the gross water-saving quantity would increase by 275.7-303.0 million m3.Similarly,if the irrigation water-saving rate increased by 20%,then the net water-saving quantity would increase by 43.0-45.1 million m3 and the gross water-saving quantity would increase by 331.7-383.2 million m3.If the agricultural cropping pattern was optimized,the optimal water and cultivated area allocation for maize would be greater than those for other crops.Under the premise that similar volume of irrigation water quantity was available in different scenarios,results showed differences in system benefit and net benefit per unit of irrigation water,for the distribution of available irrigation water was diverse in different irrigation districts.展开更多
The“average occupant”methodology is widely used in energy consumption simulations of residential buildings;however,it fails to consider the differences in energy use behavior among family members.Based on a field su...The“average occupant”methodology is widely used in energy consumption simulations of residential buildings;however,it fails to consider the differences in energy use behavior among family members.Based on a field survey on the Central Shaanxi Plain,to identify the energy use behavior patterns of typical families,a stochastic energy use behavior model considering differences in energy use behavior among family members was proposed,to improve the accuracy of energy consumption simulations of residential buildings.The results indicated that the surveyed rural families could be classified into the following four types depending on specific energy use behavior patterns:families of one elderly couple,families of one middle-aged couple,families of one elderly couple and one child,and families of one couple and one child.Moreover,on typical summer days,the results of daily building energy consumption simulation obtained by the“average occupant”methodology were 25.39%and 28%lower than the simulation results obtained by the model proposed in this study for families of one elderly couple and families of one middle-aged couple,and 13.05%and 23.05%higher for families of one elderly couple and one child,and families of one couple and one child.On typical winter days,for the four types of families,the results of daily building energy consumption simulation obtained by the“average occupant”methodology were 21.69%,10.84%,1.21%,and 8.39%lower than the simulation results obtained by the model proposed in this study,respectively.展开更多
文摘目的探索不同治疗阶段的社区美沙酮维持治疗受治者服药剂量模式,以提高受治者的治疗依从性和治疗效果。方法选择广州市荔湾区药物维持治疗门诊自2006年9月30日至2015年6月1日所有的受治者。根据入组时间将受治者分为新入组(入组小于1年)、稳定治疗组(入组1年至5年)和长期维持组(入组5年以上)。对所有受治者于入组时进行问卷调查,记录其人口学资料、过去药物滥用情况、HIV和HCV感染情况、入组后服药日期及每天服药剂量。结果本研究纳入855名受治者。三组受治者的剂量在1个月内迅速上升达到稳定剂量后,新入组和稳定治疗组的受治者治疗剂量均呈现下降趋势。三组受治者在各个测量的时间点,剂量差异均具有统计学意义(P<0.001)。新入组治疗者在一个月内每周平均剂量上升3.39 m L(P=0.004),剂量达(46.62±21.27)m L,一个月后约每月下降0.09 m L(P=0.003);稳定治疗组受治者在一个月内平均每周上升4.46 m L(P<0.001),至一个月时达(50.39±19.07)m L,之后平均每月下降0.03 m L(P<0.001);长期维持治疗组的受治者在1个月内以每周4.73 m L速度迅速上升(P<0.001),达到(46.57±18.12)m L,一个月后每月继续上升0.07 m L(P<0.001),于1年后剂量达到(49.77±19.05)m L后每年下降0.007 m L(P=0.008)。结论不同治疗阶段的社区美沙酮维持治疗受治者呈现不同的服药模式。本研究中不同治疗阶段受治者的治疗模式,可为指导门诊医生制定合理的服药计划提供参考。
基金The study was supported by the National Natural Science Foundation of China （30571094） New Century Excellent Talents in University （NCET-05-0492）the National Key Technologies R＆D Program of China During the llth Five-Year Plan Period （2006BAD15B02, 2006BAD02A15）.
文摘Study on the regional characteristics of soil organic carbon （SOC） density in farmland will not only contribute greatly to the technique of soil productivity enhancement, but also give evidences of technique selection and policy making for carbon sequestration in soils. Based on the second national soil survey of China, the situation of SOC density in the plow layer of farmland was analyzed under different land use patterns. Results showed that SOC density in the plow layer was about 3.15 kg m^-2 in average ranging from 0.81 to 12.68 kg m^-2. The highest density was found in the southeastern region with an average of 3.63 kg ma, while the lowest occurring in the northwestern region with an average of 3.00 kg m^-2. The variation coefficient of SOC density in the plow layer of farmland was 57%, which was 35% lower than that of non-farmland soils. Compared to SOC density in the dry land, SOC density in paddy soils was 13% higher with a lower variation coefficient between different regions. In addition, the relationships between the climatic factors （annual average temperature and precipitation） and SOC density were lower in farmland than those in non-farmland soils, as well as lower in paddy soils than those in dry land of farmland. These results suggest that anthropogenic disturbances have great impacts on SOC density in farmland soils, especially in paddy soils, indicating that Chinese rice cropping may contribute greatly to the SOC stability and sequestration in paddy field.
基金National Natural Science Foundation of China(81960714)Jiangxi University of Chinese Medicine Graduate Innovation Project(JZYC21S52)。
文摘Objective To predict the molecular mechanism of Dihuang(Rehmanniae Radix)in the treatment of diabetic nephropathy(DN)complicated with depression based on network pharmacology.Methods The components of Dihuang(Rehmanniae Radix)were identified from the Integrated Pharmacology-based Research Platform of Traditional Chinese Medicine(TCMIP),Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and relevant literature.The component targets were detected by combining the SwissTargetPrediction and Pub Chem databases.Disease targets were collected from the Therapeutic Target Database(TTD),Dis Ge NET,and Ensembl databases with“diabetic nephropathy”and“depression”as keywords.The disease-component targets were mapped using Venny 2.1.0 to obtain potential targets.A protein-protein interaction(PPI)network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)database and Cytoscape 3.7.2.The co-expression genes of the key targets were collected based on the COXPRESdb 7.3.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were performed for potential targets using R language.Target-component docking was verified and evaluated using Discovery Studio 4.5.Results According to the databases and literature reports,Dihuang(Rehmanniae Radix)contained 65 active components,and had 155 related targets for the treatment of DN complicated with depression.PPI screening showed that the key targets included serine/threonine protein kinase 1(AKT1),signal transducer and activator transcription 3(STAT3),interleukin 6(IL-6),mitogen-activated protein kinase 1(MAPK1),and vascular endothelial growth factor A(VEGFA),etc.GO enrichment analysis mainly involved biological processes,such as lipid metabolism,protein secretion regulation,cell homeostasis,and phosphatidylinositol 3 kinase activity.KEGG pathway enrichment analysis included the role of the AGE-RAGE signaling pathway in diabetic complements,insulin resistance(IR),neurotrophin signal path,Toll-like receptor signaling pathway,relaxin signaling pathway,epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs),etc.Molecular docking showed that the target had high affinity for stachyose,manninotriose,verbascose,nigerose,etc.Conclusion Based on network parmacology,this study preliminarily predict the effects of Dihuang(Rehmanniae Radix)in treating DN complicated with depression by regulating inflammation,glucose metabolism,nution nerve,etc.
基金We acknowledge that this work was financially supported by the National Natural Science Fund in China(Grant No.91425302,91325201)National Key Research and Development Program during the 13th Five-year Plan in China(Grant No.2016YFC0401306).
文摘In arid and semi-arid areas,the profitability of irrigated agriculture mainly depends on the availability of water resources and optimal cropping patterns of irrigation districts.In this study,an integrated agricultural cropping pattern optimization model was developed with considering the uncertainty of water availability and water saving potential in the future,aiming to maximize agricultural net benefit per unit of irrigation water.The available water which was based on the uncertainty of runoff was divided into five scenarios.The irrigation water-saving potential in the future was quantified by assuming an increase in the rate irrigation water-saving of 10% and 20%.The model was applied to the middle reaches of Heihe River basin,in Gansu Province,China.Results showed that if the irrigation water-saving rate was assumed to increase by 10%,then the net water-saving quantity would increase by 21.5-22.5 million m3 and the gross water-saving quantity would increase by 275.7-303.0 million m3.Similarly,if the irrigation water-saving rate increased by 20%,then the net water-saving quantity would increase by 43.0-45.1 million m3 and the gross water-saving quantity would increase by 331.7-383.2 million m3.If the agricultural cropping pattern was optimized,the optimal water and cultivated area allocation for maize would be greater than those for other crops.Under the premise that similar volume of irrigation water quantity was available in different scenarios,results showed differences in system benefit and net benefit per unit of irrigation water,for the distribution of available irrigation water was diverse in different irrigation districts.
基金funded by the National Natural Science Foundation of China(52378109)Shaanxi Provincial Department of Science and Technology(2023KJXX-043).
文摘The“average occupant”methodology is widely used in energy consumption simulations of residential buildings;however,it fails to consider the differences in energy use behavior among family members.Based on a field survey on the Central Shaanxi Plain,to identify the energy use behavior patterns of typical families,a stochastic energy use behavior model considering differences in energy use behavior among family members was proposed,to improve the accuracy of energy consumption simulations of residential buildings.The results indicated that the surveyed rural families could be classified into the following four types depending on specific energy use behavior patterns:families of one elderly couple,families of one middle-aged couple,families of one elderly couple and one child,and families of one couple and one child.Moreover,on typical summer days,the results of daily building energy consumption simulation obtained by the“average occupant”methodology were 25.39%and 28%lower than the simulation results obtained by the model proposed in this study for families of one elderly couple and families of one middle-aged couple,and 13.05%and 23.05%higher for families of one elderly couple and one child,and families of one couple and one child.On typical winter days,for the four types of families,the results of daily building energy consumption simulation obtained by the“average occupant”methodology were 21.69%,10.84%,1.21%,and 8.39%lower than the simulation results obtained by the model proposed in this study,respectively.
