Fibrosis is a pathological outcome of a dysregulated repair response to injury,which can occur in any organ and have devastating effects on hundreds of millions of patients worldwide.However,challenges remain in delin...Fibrosis is a pathological outcome of a dysregulated repair response to injury,which can occur in any organ and have devastating effects on hundreds of millions of patients worldwide.However,challenges remain in delineating the complex and dynamic network regulating fibrosis,as well as translating this information into effective anti-fibrotic treatments.A comprehensive understanding of existing methodologies and the development of new research tools are essential for ensuring the transferability of findings from bench to bedside.In this review,we present a framework consisting of a large biospecimen repository that integrates diverse patient cohorts with corresponding clinical data,and a systematic research platform incorporating multiple layers of experimental strategies,primarily focused on skin fibrosis.We summarize current advancements and the applications of various tools for preclinical fibrosis research and examine the limitations of traditional methods used to simulate and investigate biomechanical signals in the fibrotic environment.Importantly,we highlight the strengths of research techniques and translational approaches of varying physiological relevance developed by us over the past decade.Collectively,we emphasize a trend toward more faithfully replicating the functional,structural,and biological complexity of fibrosis while providing high spatio-temporal control over soluble cues and intricate interactions.Our comprehensive overview of methodology paves the way for minimizing batch-to-batch variation and improving the reproducibility of experimental systems.展开更多
With the development of education and technology,the construction of research public platforms has emerged as a critical initiative for many universities and top-tier public hospitals.The core and most fundamental fun...With the development of education and technology,the construction of research public platforms has emerged as a critical initiative for many universities and top-tier public hospitals.The core and most fundamental function of a basic public platform is to aggregate large instruments and specific resources,providing open services for instrumental analysis and sample testing.Optimized management and high-quality,efficient services are essential for such platforms.This article elucidates the construction of a research public platform in West China Hospital,focusing on the adoption of hierarchical management and precise services.The core of the hierarchical management lies in building a multi-level service platform composed of routine support platforms,advanced technology platforms,and specially qualification platforms,while establishing a talent hierarchy that differentiates between core and routine positions.This structure is designed to accurately meet the diverse needs of users and enhance resource efficiency.By implementing user access control with differentiated permissions for internal and external users and a dynamic credit-based review system,the laboratory can ensure safe and efficient operations.The four service modes—instrument usage,in-lab experiments,sample testing,and collaborative projects—are precisely aligned with various research scenarios.Proactive engagement with grant-funded projects,customized services for research groups,and a multidimensional training system further strengthen the platform's support for major scientific research tasks.Through systematic management and service innovation,this model achieves efficient integration and sustainable development of platform resources,providing a valuable reference for the construction of public platforms in similar medical institutions.展开更多
There are many access ends and information asymmetry in the management of offshore platform production facility personnel information. In the actual business, the problem is decomposed and a multi-layer logical archit...There are many access ends and information asymmetry in the management of offshore platform production facility personnel information. In the actual business, the problem is decomposed and a multi-layer logical architecture is selected to design and develop the POB plan management module applicable to offshore platform facilities. The main functions of this module include task management, facility management, area management, sea-going unit management, plan management, report management, authority control, and comprehensive query. It can efficiently solve on-site business problems and improve the efficiency of POB plan management for various professionals on land and at sea. In actual use, the module can well assist in completing POB plan management tasks and improve work efficiency.展开更多
中子探针具有磁矩和深穿透能力,且对轻元素灵敏、能够鉴别同位素及近邻元素,已成为材料科学领域创新研究的重要手段。作为国家三大中子源之一,中国工程物理研究院的中国绵阳研究堆(China Mianyang Research Reactor,CMRR)于2013年率先...中子探针具有磁矩和深穿透能力,且对轻元素灵敏、能够鉴别同位素及近邻元素,已成为材料科学领域创新研究的重要手段。作为国家三大中子源之一,中国工程物理研究院的中国绵阳研究堆(China Mianyang Research Reactor,CMRR)于2013年率先建成首期8套科学装置并于当年投入使用,稳定运行至今已有十余年。本文重点介绍了CMRR中子平台近几年的装置技术和应用研究进展。目前平台拥有15套科学装置,相比于首期装置数量已几近翻番。基于新研建的装置,将材料静态结构最大可测尺度由原有的数百纳米拓宽至数十微米,突破实现了微观动力学能量分辨能力约3个量级的提升(由原来的亚毫电子伏特提升至百纳电子伏特)。基于平台跨尺度多参量的综合型大科学装置集群优势,CMRR已应用于金属合金、磁性材料、电池材料、含能材料、软物质等关键工程材料研究和工程部件制造等领域。在未来,依托中子科学与技术全国重点实验室,着力推动以中子科学为基础的重大原始创新和新材料、凝聚态物理等多学科前沿发展,为工程材料及部件研发面临的瓶颈科学技术问题提供新认识和创新解决方案。展开更多
The platform scheduling problem in battlefield is one of the important problems in military operational research.It needs to minimize mission completing time and meanwhile maximize the mission completing accuracy with...The platform scheduling problem in battlefield is one of the important problems in military operational research.It needs to minimize mission completing time and meanwhile maximize the mission completing accuracy with a limited number of platforms.Though the traditional certain models obtain some good results,uncertain model is still needed to be introduced since the battlefield environment is complex and unstable.An uncertain model is prposed for the platform scheduling problem.Related parameters in this model are set to be fuzzy or stochastic.Due to the inherent disadvantage of the solving methods for traditional models,a new method is proposed to solve the uncertain model.Finally,the practicability and availability of the proposed method are demonstrated with a case of joint campaign.展开更多
<div style="text-align:justify;"> Gansu Province is a large province in Western China, and its geographical location and economic status are very important. With the state’s attention to the western d...<div style="text-align:justify;"> Gansu Province is a large province in Western China, and its geographical location and economic status are very important. With the state’s attention to the western development, the economy of the western region represented by Gansu Province has developed rapidly, and the construction of roads and other infrastructure has also been developed. Taking Gansu Province as an example, this paper studies and discusses the application of highway maintenance platform based on GIS + BIM Technology. Firstly, this paper expounds the advantages of GIS + BIM Technology in highway construction and maintenance, and analyzes the development status of GIS + BIM Technology;Secondly, it expounds how to solve the problem of highway maintenance from the aspects of GIS + BIM system and its advantages and difficulties in highway maintenance, and briefly explains the difficulties existing in highway maintenance in Gansu Province. Then, starting from the path of GIS + BIM Technology to solve highway maintenance in Gansu Province, this paper analyzes the expected effect of GIS + BIM Technology in highway maintenance in Gansu Province. </div>展开更多
立足科技情报知识服务视角,梳理AI for Science (AI4S)推动的“平台科研”范式内涵与框架。根据库恩范式理论论述了AI4S推动科研范式革新的必然性,采用培根归纳法总结的科学研究流程作为框架线索,阐明创新知识服务与“平台科研”范式的...立足科技情报知识服务视角,梳理AI for Science (AI4S)推动的“平台科研”范式内涵与框架。根据库恩范式理论论述了AI4S推动科研范式革新的必然性,采用培根归纳法总结的科学研究流程作为框架线索,阐明创新知识服务与“平台科研”范式的互促共进关系并作为理论指导。创新知识服务视角下的“平台科研”范式以服务科研创新活动为宗旨,主要内容包括知识表示视角下的科学数据管理、知识融合视角下的通用知识库构建、知识推理视角下的科学假设预测、知识发现视角下的科学实验执行和知识应用视角下的工业赋能。本文提出了一种创新知识服务视角下的“平台科研”范式框架,旨在从创新知识服务角度理解“平台科研”范式,厘清各主要环节创新知识服务的核心研究内容,以期成为科技情报研究领域的新兴知识生长点,为我国抢抓AI4S科研范式革新机遇提供参考思路。展开更多
基金supported by grants from the National Natural Science Foundation of China(grant nos.82472554 and 82202449)the Fund for Excellent Young Scholars of Shanghai Ninth People’s Hospital,Shanghai Jiao Tong University School of Medicine(grant no.JYYQ006)the Shanghai Clinical Research Center of Plastic and Reconstructive Surgery(grant no.22MC1940300).
文摘Fibrosis is a pathological outcome of a dysregulated repair response to injury,which can occur in any organ and have devastating effects on hundreds of millions of patients worldwide.However,challenges remain in delineating the complex and dynamic network regulating fibrosis,as well as translating this information into effective anti-fibrotic treatments.A comprehensive understanding of existing methodologies and the development of new research tools are essential for ensuring the transferability of findings from bench to bedside.In this review,we present a framework consisting of a large biospecimen repository that integrates diverse patient cohorts with corresponding clinical data,and a systematic research platform incorporating multiple layers of experimental strategies,primarily focused on skin fibrosis.We summarize current advancements and the applications of various tools for preclinical fibrosis research and examine the limitations of traditional methods used to simulate and investigate biomechanical signals in the fibrotic environment.Importantly,we highlight the strengths of research techniques and translational approaches of varying physiological relevance developed by us over the past decade.Collectively,we emphasize a trend toward more faithfully replicating the functional,structural,and biological complexity of fibrosis while providing high spatio-temporal control over soluble cues and intricate interactions.Our comprehensive overview of methodology paves the way for minimizing batch-to-batch variation and improving the reproducibility of experimental systems.
基金supported by Sichuan University AI-Driven In-novative Experimental Technology Research Project(SCU2025047).
文摘With the development of education and technology,the construction of research public platforms has emerged as a critical initiative for many universities and top-tier public hospitals.The core and most fundamental function of a basic public platform is to aggregate large instruments and specific resources,providing open services for instrumental analysis and sample testing.Optimized management and high-quality,efficient services are essential for such platforms.This article elucidates the construction of a research public platform in West China Hospital,focusing on the adoption of hierarchical management and precise services.The core of the hierarchical management lies in building a multi-level service platform composed of routine support platforms,advanced technology platforms,and specially qualification platforms,while establishing a talent hierarchy that differentiates between core and routine positions.This structure is designed to accurately meet the diverse needs of users and enhance resource efficiency.By implementing user access control with differentiated permissions for internal and external users and a dynamic credit-based review system,the laboratory can ensure safe and efficient operations.The four service modes—instrument usage,in-lab experiments,sample testing,and collaborative projects—are precisely aligned with various research scenarios.Proactive engagement with grant-funded projects,customized services for research groups,and a multidimensional training system further strengthen the platform's support for major scientific research tasks.Through systematic management and service innovation,this model achieves efficient integration and sustainable development of platform resources,providing a valuable reference for the construction of public platforms in similar medical institutions.
文摘There are many access ends and information asymmetry in the management of offshore platform production facility personnel information. In the actual business, the problem is decomposed and a multi-layer logical architecture is selected to design and develop the POB plan management module applicable to offshore platform facilities. The main functions of this module include task management, facility management, area management, sea-going unit management, plan management, report management, authority control, and comprehensive query. It can efficiently solve on-site business problems and improve the efficiency of POB plan management for various professionals on land and at sea. In actual use, the module can well assist in completing POB plan management tasks and improve work efficiency.
文摘中子探针具有磁矩和深穿透能力,且对轻元素灵敏、能够鉴别同位素及近邻元素,已成为材料科学领域创新研究的重要手段。作为国家三大中子源之一,中国工程物理研究院的中国绵阳研究堆(China Mianyang Research Reactor,CMRR)于2013年率先建成首期8套科学装置并于当年投入使用,稳定运行至今已有十余年。本文重点介绍了CMRR中子平台近几年的装置技术和应用研究进展。目前平台拥有15套科学装置,相比于首期装置数量已几近翻番。基于新研建的装置,将材料静态结构最大可测尺度由原有的数百纳米拓宽至数十微米,突破实现了微观动力学能量分辨能力约3个量级的提升(由原来的亚毫电子伏特提升至百纳电子伏特)。基于平台跨尺度多参量的综合型大科学装置集群优势,CMRR已应用于金属合金、磁性材料、电池材料、含能材料、软物质等关键工程材料研究和工程部件制造等领域。在未来,依托中子科学与技术全国重点实验室,着力推动以中子科学为基础的重大原始创新和新材料、凝聚态物理等多学科前沿发展,为工程材料及部件研发面临的瓶颈科学技术问题提供新认识和创新解决方案。
基金supported by the National Natural Science Foundation of China(61573017)
文摘The platform scheduling problem in battlefield is one of the important problems in military operational research.It needs to minimize mission completing time and meanwhile maximize the mission completing accuracy with a limited number of platforms.Though the traditional certain models obtain some good results,uncertain model is still needed to be introduced since the battlefield environment is complex and unstable.An uncertain model is prposed for the platform scheduling problem.Related parameters in this model are set to be fuzzy or stochastic.Due to the inherent disadvantage of the solving methods for traditional models,a new method is proposed to solve the uncertain model.Finally,the practicability and availability of the proposed method are demonstrated with a case of joint campaign.
文摘<div style="text-align:justify;"> Gansu Province is a large province in Western China, and its geographical location and economic status are very important. With the state’s attention to the western development, the economy of the western region represented by Gansu Province has developed rapidly, and the construction of roads and other infrastructure has also been developed. Taking Gansu Province as an example, this paper studies and discusses the application of highway maintenance platform based on GIS + BIM Technology. Firstly, this paper expounds the advantages of GIS + BIM Technology in highway construction and maintenance, and analyzes the development status of GIS + BIM Technology;Secondly, it expounds how to solve the problem of highway maintenance from the aspects of GIS + BIM system and its advantages and difficulties in highway maintenance, and briefly explains the difficulties existing in highway maintenance in Gansu Province. Then, starting from the path of GIS + BIM Technology to solve highway maintenance in Gansu Province, this paper analyzes the expected effect of GIS + BIM Technology in highway maintenance in Gansu Province. </div>
文摘立足科技情报知识服务视角,梳理AI for Science (AI4S)推动的“平台科研”范式内涵与框架。根据库恩范式理论论述了AI4S推动科研范式革新的必然性,采用培根归纳法总结的科学研究流程作为框架线索,阐明创新知识服务与“平台科研”范式的互促共进关系并作为理论指导。创新知识服务视角下的“平台科研”范式以服务科研创新活动为宗旨,主要内容包括知识表示视角下的科学数据管理、知识融合视角下的通用知识库构建、知识推理视角下的科学假设预测、知识发现视角下的科学实验执行和知识应用视角下的工业赋能。本文提出了一种创新知识服务视角下的“平台科研”范式框架,旨在从创新知识服务角度理解“平台科研”范式,厘清各主要环节创新知识服务的核心研究内容,以期成为科技情报研究领域的新兴知识生长点,为我国抢抓AI4S科研范式革新机遇提供参考思路。
