目的建立定量测定大鼠血浆中顺式二苯乙烯苷[cis-2,3,5,4'-四羟基二苯乙烯-2-O-β-D-葡萄糖苷(TSG)]与反式二苯乙烯苷(trans-TSG)血药浓度的UPLC-MS/MS方法,系统探究2种异构体在大鼠体内的药动学差异。方法将40只雄性SD大鼠随机分为...目的建立定量测定大鼠血浆中顺式二苯乙烯苷[cis-2,3,5,4'-四羟基二苯乙烯-2-O-β-D-葡萄糖苷(TSG)]与反式二苯乙烯苷(trans-TSG)血药浓度的UPLC-MS/MS方法,系统探究2种异构体在大鼠体内的药动学差异。方法将40只雄性SD大鼠随机分为4组(每组10只),即cis-TSG ig给药组、cis-TSG尾iv给药组、trans-TSG ig给药组、transTSG尾iv给药组。ig组给药剂量为100 mg·kg^(-1),尾iv组给药剂量为10 mg·kg^(-1);于给药前(0 h)及给药后0.030、0.083、0.160、0.250、0.330、0.500、1.000、2.000、4.000、6.000、8.000、10.000、12.000、24.000 h,通过眼静脉丛采集血样。以虎杖苷为内标,测定上述2个成分在不同时间点的血药浓度;利用DAS 1.0软件计算药动学参数,分析其药动学行为差异。结果所建立的UPLC-MS/MS方法在专属性、稳定性、准确度与精密度方面均符合体内药物浓度测定的技术要求,且无明显基质效应、提取回收率稳定。药动学结果显示:①给药途径对暴露水平影响显著:2种成分经iv给药后的血药浓度-时间曲线下面积(AUC)、达峰浓度(C_(max))均显著高于ig给药,且达峰时间(t_(max))更短,提示iv给药可使药物直接、快速进入体循环;②异构体间暴露差异显著:无论是iv还是ig给药,cis-TSG的AUC、C_(max)均显著高于trans-TSG(P<0.05),cis-TSG的消除半衰期(t_(1/2))长于trans-TSG[iv(7.03 h vs 2.63 h)、ig(16.90 h vs 8.46 h)],提示2种异构体在吸收、代谢或分布过程中存在本质差异;③口服生物利用度较低:cis-TSG与trans-TSG的口服绝对生物利用度分别为28.46%、27.35%。结论cis-TSG与trans-TSG在大鼠体内的药动学行为存在显著差异,主要体现为cis-TSG的体内暴露水平更高、消除更缓慢;且2种成分的口服生物利用度均较低。展开更多
印章印文作为现代社会中文件合同的重要标识物,其形成时间的鉴定是文书鉴定领域关注的重点和难点之一。采用溶剂提取法结合超高效液相色谱-串联质谱(Ultra High Performance Liquid Chromatography-Tandem Mass Spectrometry,UPLC-MS/MS...印章印文作为现代社会中文件合同的重要标识物,其形成时间的鉴定是文书鉴定领域关注的重点和难点之一。采用溶剂提取法结合超高效液相色谱-串联质谱(Ultra High Performance Liquid Chromatography-Tandem Mass Spectrometry,UPLC-MS/MS)技术对14种印油、印泥和印台印文的主要染料成分含量进行测定分析,以探究目标染料含量随时间的变化规律。通过单因素实验结合XGBoost机器学习算法对前处理条件进行优化,确定了最佳前处理条件,包括提取剂种类(DMF∶乙腈=2∶1)、样品量(0.1 cm×1.0 cm)、提取剂剂量(1000μL)和提取方式(振荡30 s与超声5 min)。利用UPLC-MS/MS对金光红、金光红C两种目标染料进行检测,在10~500μg/L范围内线性良好(r^(2)为0.9949~0.9996),回收率分别在100.49%~102.17%与98.30%~99.30%之间,相对标准偏差为0.53%~4.65%。研究结果表明,大部分印文中染料的检出量随时间推移呈现递减规律,且一萃和二萃染料检出量比值也表现出明显递减趋势。所建立的UPLC-MS/MS法可相对明确地区分24个月内不同时间段的印章印文,为印文形成时间的鉴定提供了科学依据与可行的技术方案。展开更多
With the accelerating aging process of China’s population,the demand for community elderly care services has shown diversified and personalized characteristics.However,problems such as insufficient total care service...With the accelerating aging process of China’s population,the demand for community elderly care services has shown diversified and personalized characteristics.However,problems such as insufficient total care service resources,uneven distribution,and prominent supply-demand contradictions have seriously affected service quality.Big data technology,with core advantages including data collection,analysis and mining,and accurate prediction,provides a new solution for the allocation of community elderly care service resources.This paper systematically studies the application value of big data technology in the allocation of community elderly care service resources from three aspects:resource allocation efficiency,service accuracy,and management intelligence.Combined with practical needs,it proposes optimal allocation strategies such as building a big data analysis platform and accurately grasping the elderly’s care needs,striving to provide operable path references for the construction of community elderly care service systems,promoting the early realization of the elderly care service goal of“adequate support and proper care for the elderly”,and boosting the high-quality development of China’s elderly care service industry.展开更多
In response to the Ministry of Education’s requirements for building distinctive model software schools,Software College of Northeastern University and Shenzhen Kingdom Technology Co.,Ltd.jointly developed the specia...In response to the Ministry of Education’s requirements for building distinctive model software schools,Software College of Northeastern University and Shenzhen Kingdom Technology Co.,Ltd.jointly developed the specialized course“Application and Practice of RPA Technology in FinTech”.Addressing pain points in financial digital transformation,the course integrates robotic process automation(RPA)principles,financial domain knowledge,and RPA platform practice into a“technology-scenario-capability”trinity teaching system.Through 64 credit hours of integrated theory and practice,it covers RPA fundamentals,financial applications,RPA operations(including core skills like Web/desktop automation),and AI integration,cultivating students’ability to design and implement automated financial workflows.It innovatively features a RPA simulation platform,30+financial case studies,and modular task resources,creating a“teacher-machine-student”interactive model.Practice demonstrates the course effectively enhances students’integration of technical application and business acumen,providing a scalable paradigm for cultivating interdisciplinary FinTech talent.展开更多
The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them w...The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot.展开更多
Jeanologia celebrated its 30th anniversary reaffirming the mission it was born with in 1994,to transform the textile industry into a more sustainable,efficient,and human-centered sector.Three decades later,that vision...Jeanologia celebrated its 30th anniversary reaffirming the mission it was born with in 1994,to transform the textile industry into a more sustainable,efficient,and human-centered sector.Three decades later,that vision has become a global reality.Today,more than 40 percent of all jeans produced worldwide are made using technologies developed by the Valencia-based company.What started in a small laboratory in Valencia(Spain),with a pioneering team and a visionary idea,has evolved into a global benchmark in sustainable innovation.From the beginning,Jeanologia believed in technology as a driver of change,introducing solutions that eliminated harmful practices and opened the door to a new,cleaner way of making garments.展开更多
文摘目的建立定量测定大鼠血浆中顺式二苯乙烯苷[cis-2,3,5,4'-四羟基二苯乙烯-2-O-β-D-葡萄糖苷(TSG)]与反式二苯乙烯苷(trans-TSG)血药浓度的UPLC-MS/MS方法,系统探究2种异构体在大鼠体内的药动学差异。方法将40只雄性SD大鼠随机分为4组(每组10只),即cis-TSG ig给药组、cis-TSG尾iv给药组、trans-TSG ig给药组、transTSG尾iv给药组。ig组给药剂量为100 mg·kg^(-1),尾iv组给药剂量为10 mg·kg^(-1);于给药前(0 h)及给药后0.030、0.083、0.160、0.250、0.330、0.500、1.000、2.000、4.000、6.000、8.000、10.000、12.000、24.000 h,通过眼静脉丛采集血样。以虎杖苷为内标,测定上述2个成分在不同时间点的血药浓度;利用DAS 1.0软件计算药动学参数,分析其药动学行为差异。结果所建立的UPLC-MS/MS方法在专属性、稳定性、准确度与精密度方面均符合体内药物浓度测定的技术要求,且无明显基质效应、提取回收率稳定。药动学结果显示:①给药途径对暴露水平影响显著:2种成分经iv给药后的血药浓度-时间曲线下面积(AUC)、达峰浓度(C_(max))均显著高于ig给药,且达峰时间(t_(max))更短,提示iv给药可使药物直接、快速进入体循环;②异构体间暴露差异显著:无论是iv还是ig给药,cis-TSG的AUC、C_(max)均显著高于trans-TSG(P<0.05),cis-TSG的消除半衰期(t_(1/2))长于trans-TSG[iv(7.03 h vs 2.63 h)、ig(16.90 h vs 8.46 h)],提示2种异构体在吸收、代谢或分布过程中存在本质差异;③口服生物利用度较低:cis-TSG与trans-TSG的口服绝对生物利用度分别为28.46%、27.35%。结论cis-TSG与trans-TSG在大鼠体内的药动学行为存在显著差异,主要体现为cis-TSG的体内暴露水平更高、消除更缓慢;且2种成分的口服生物利用度均较低。
文摘With the accelerating aging process of China’s population,the demand for community elderly care services has shown diversified and personalized characteristics.However,problems such as insufficient total care service resources,uneven distribution,and prominent supply-demand contradictions have seriously affected service quality.Big data technology,with core advantages including data collection,analysis and mining,and accurate prediction,provides a new solution for the allocation of community elderly care service resources.This paper systematically studies the application value of big data technology in the allocation of community elderly care service resources from three aspects:resource allocation efficiency,service accuracy,and management intelligence.Combined with practical needs,it proposes optimal allocation strategies such as building a big data analysis platform and accurately grasping the elderly’s care needs,striving to provide operable path references for the construction of community elderly care service systems,promoting the early realization of the elderly care service goal of“adequate support and proper care for the elderly”,and boosting the high-quality development of China’s elderly care service industry.
文摘In response to the Ministry of Education’s requirements for building distinctive model software schools,Software College of Northeastern University and Shenzhen Kingdom Technology Co.,Ltd.jointly developed the specialized course“Application and Practice of RPA Technology in FinTech”.Addressing pain points in financial digital transformation,the course integrates robotic process automation(RPA)principles,financial domain knowledge,and RPA platform practice into a“technology-scenario-capability”trinity teaching system.Through 64 credit hours of integrated theory and practice,it covers RPA fundamentals,financial applications,RPA operations(including core skills like Web/desktop automation),and AI integration,cultivating students’ability to design and implement automated financial workflows.It innovatively features a RPA simulation platform,30+financial case studies,and modular task resources,creating a“teacher-machine-student”interactive model.Practice demonstrates the course effectively enhances students’integration of technical application and business acumen,providing a scalable paradigm for cultivating interdisciplinary FinTech talent.
文摘The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot.
文摘Jeanologia celebrated its 30th anniversary reaffirming the mission it was born with in 1994,to transform the textile industry into a more sustainable,efficient,and human-centered sector.Three decades later,that vision has become a global reality.Today,more than 40 percent of all jeans produced worldwide are made using technologies developed by the Valencia-based company.What started in a small laboratory in Valencia(Spain),with a pioneering team and a visionary idea,has evolved into a global benchmark in sustainable innovation.From the beginning,Jeanologia believed in technology as a driver of change,introducing solutions that eliminated harmful practices and opened the door to a new,cleaner way of making garments.
