中医药在新型冠状病毒疫情防控中的贡献彰显了其在维护人民生命健康中不可或缺的地位.“有毒”中药占常用中药材和饮片的13.47%,市场规模超过168亿元,临床一定范围内具有确切疗效及重要价值[1,2].然而,随着中医药疗效在世界范围内被逐...中医药在新型冠状病毒疫情防控中的贡献彰显了其在维护人民生命健康中不可或缺的地位.“有毒”中药占常用中药材和饮片的13.47%,市场规模超过168亿元,临床一定范围内具有确切疗效及重要价值[1,2].然而,随着中医药疗效在世界范围内被逐渐认可,中药不良反应事件的数量及关注度近年均有所上升,例如,2017年Nature发表的“China rolls back regulations for traditional medicine despite safety concerns”指出,中药的安全隐患是其临床应用时需要解决的一个至关重要的问题[1].同年,Science Translational Medicine发表的封面论文[2]指出,马兜铃酸与肝癌的发生发展显著相关,导致含有马兜铃酸的植物被世界卫生组织国际癌症研究机构列入一类致癌物清单.随着国际上对中药安全使用的需求日趋严格,要求“说清楚、讲明白”的呼声日益增高,符合中医药特点的中药安全性评价体系的不完善不仅会导致“有毒”中药国际化进程陷入困境,也将严重影响“有毒”中药及其上市品种在临床更广泛的应用,制约中医药现代化、国际化进程.大数据科技创新为中医药行业发展带来了新的机遇与挑战.2020年,《中共中央国务院关于构建更加完善的要素市场化配置体制机制的意见》首次将“数据”列为一种新型生产要素,明确了数据资源的战略意义,为中医药科研界及产业界如何促进数据开发利用、实现数据赋能带来了重要命题;依托北斗地基增强系统、高精度位置服务终端、时空智能解决方案,数据学和数据科学领域的蓬勃发展将为解决“有毒”中药安全使用的临床需求及成果转化过程中存在的瓶颈问题带来新的契机.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
Competitive intelligence(CI)is a key factor in helping business leaders gain and maintain competitive advantages.The emergence of big data and Web 2.0 has created new opportunities and more challenges for enterprises ...Competitive intelligence(CI)is a key factor in helping business leaders gain and maintain competitive advantages.The emergence of big data and Web 2.0 has created new opportunities and more challenges for enterprises to effectively obtain CI.This paper attempts to explore a CI identification method based on strategic factors(SF).By filtering process before CI collection,the core CI,closely related to critical success factors and crisis inducement factors,are identified reliably and efficiently.Based on knowledge element model and multiattribute fusion method,emphasis is placed on the construction of a criterion function by which the SF thesaurus in achieving CI objectives is established.The advantages of this method lie not only in the capability of mining the core CI from massive data,but also in the foundation of efficient CI storage and analysis.This paper is of significance to make a thorough inquiry on CI obtaining and fusing methods of CI system in era of big data.Experiment results verified the feasibility and validity of this study.展开更多
文摘中医药在新型冠状病毒疫情防控中的贡献彰显了其在维护人民生命健康中不可或缺的地位.“有毒”中药占常用中药材和饮片的13.47%,市场规模超过168亿元,临床一定范围内具有确切疗效及重要价值[1,2].然而,随着中医药疗效在世界范围内被逐渐认可,中药不良反应事件的数量及关注度近年均有所上升,例如,2017年Nature发表的“China rolls back regulations for traditional medicine despite safety concerns”指出,中药的安全隐患是其临床应用时需要解决的一个至关重要的问题[1].同年,Science Translational Medicine发表的封面论文[2]指出,马兜铃酸与肝癌的发生发展显著相关,导致含有马兜铃酸的植物被世界卫生组织国际癌症研究机构列入一类致癌物清单.随着国际上对中药安全使用的需求日趋严格,要求“说清楚、讲明白”的呼声日益增高,符合中医药特点的中药安全性评价体系的不完善不仅会导致“有毒”中药国际化进程陷入困境,也将严重影响“有毒”中药及其上市品种在临床更广泛的应用,制约中医药现代化、国际化进程.大数据科技创新为中医药行业发展带来了新的机遇与挑战.2020年,《中共中央国务院关于构建更加完善的要素市场化配置体制机制的意见》首次将“数据”列为一种新型生产要素,明确了数据资源的战略意义,为中医药科研界及产业界如何促进数据开发利用、实现数据赋能带来了重要命题;依托北斗地基增强系统、高精度位置服务终端、时空智能解决方案,数据学和数据科学领域的蓬勃发展将为解决“有毒”中药安全使用的临床需求及成果转化过程中存在的瓶颈问题带来新的契机.
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the National Natural Science Foundation of China(No.91024029)the Social Science Youth Fund of Liaoning Province of China(No.L13CTQ013)
文摘Competitive intelligence(CI)is a key factor in helping business leaders gain and maintain competitive advantages.The emergence of big data and Web 2.0 has created new opportunities and more challenges for enterprises to effectively obtain CI.This paper attempts to explore a CI identification method based on strategic factors(SF).By filtering process before CI collection,the core CI,closely related to critical success factors and crisis inducement factors,are identified reliably and efficiently.Based on knowledge element model and multiattribute fusion method,emphasis is placed on the construction of a criterion function by which the SF thesaurus in achieving CI objectives is established.The advantages of this method lie not only in the capability of mining the core CI from massive data,but also in the foundation of efficient CI storage and analysis.This paper is of significance to make a thorough inquiry on CI obtaining and fusing methods of CI system in era of big data.Experiment results verified the feasibility and validity of this study.
