Under the background of urban renewal, this paper re-explores the tourism development modeof Nanluoguxiang historical and cultural block based on online review data, and puts forward correspondingdevelopment strategie...Under the background of urban renewal, this paper re-explores the tourism development modeof Nanluoguxiang historical and cultural block based on online review data, and puts forward correspondingdevelopment strategies. As a cultural label of a city, historical and cultural blocks should be updated first inorder to achieve sustainable development. By using multi-source big data review and qualitative researchmethods, the perception evaluation of tourists in Nanluoguxiang is obtained, and the shortcomings ofcurrent tourism development mode are analyzed. Furthermore, corresponding improvement strategies andsuggestions are put forward, in order to provide some effective ideas for the sustainable development ofhistorical and cultural blocks in the future.展开更多
介绍ArcGIS Data Reviewer基本功能和特性,对其应用于林业地理信息矢量数据质量检查,如图斑重复、重叠,图斑间有间隙、多部件、狭长面、急锐角化、漏绘等空间关系,以及属性字段之间的逻辑性检查等的方法和步骤,举例进行了详细叙述,可为...介绍ArcGIS Data Reviewer基本功能和特性,对其应用于林业地理信息矢量数据质量检查,如图斑重复、重叠,图斑间有间隙、多部件、狭长面、急锐角化、漏绘等空间关系,以及属性字段之间的逻辑性检查等的方法和步骤,举例进行了详细叙述,可为该软件模块的使用提供参考。展开更多
Cloud computing is a set of Information Technology services offered to users over the web on a rented base. Such services enable the organizations to scale-up or scale-down their in-house foundations. Generally, cloud...Cloud computing is a set of Information Technology services offered to users over the web on a rented base. Such services enable the organizations to scale-up or scale-down their in-house foundations. Generally, cloud services are provided by a third-party supplier who possesses the arrangement. Cloud computing has many advantages such as flexibility, efficiency, scalability, integration, and capital reduction. Moreover, it provides an advanced virtual space for organizations to deploy their applications or run their operations. With disregard to the possible benefits of cloud computing services, the organizations are reluctant to invest in cloud computing mainly due to security concerns. Security is one of the main challenges that hinder the growth of cloud computing. At the same time, service providers strive to reduce the risks over the clouds and increase their reliability in order to build mutual trust between them and the cloud customers. Various security issues and challenges are discussed in this research, and possible opportunities are stated.展开更多
从天地图融合数据质量检查出发,依据数据标准,通过结合具体的质检规则,研究了一种基于ArcGIS Data Reviewer模块的自动化、批量化并且可使数据在处理阶段就可进行检查的天地图融合数据检验方法,这种灵活的质检机制大大减少了数据融合过...从天地图融合数据质量检查出发,依据数据标准,通过结合具体的质检规则,研究了一种基于ArcGIS Data Reviewer模块的自动化、批量化并且可使数据在处理阶段就可进行检查的天地图融合数据检验方法,这种灵活的质检机制大大减少了数据融合过程中的人工反复处理,提高了生产单位的作业效率及成果质量,也可为其他项目的质检系统开发提供借鉴。展开更多
Due to ethical and logistical concerns it is common for data monitoring committees to periodically monitor accruing clinical trial data to assess the safety, and possibly efficacy, of a new experimental treatment. Whe...Due to ethical and logistical concerns it is common for data monitoring committees to periodically monitor accruing clinical trial data to assess the safety, and possibly efficacy, of a new experimental treatment. When formalized, monitoring is typically implemented using group sequential methods. In some cases regulatory agencies have required that primary trial analyses should be based solely on the judgment of an independent review committee (IRC). The IRC assessments can produce difficulties for trial monitoring given the time lag typically associated with receiving assessments from the IRC. This results in a missing data problem wherein a surrogate measure of response may provide useful information for interim decisions and future monitoring strategies. In this paper, we present statistical tools that are helpful for monitoring a group sequential clinical trial with missing IRC data. We illustrate the proposed methodology in the case of binary endpoints under various missingness mechanisms including missing completely at random assessments and when missingness depends on the IRC’s measurement.展开更多
A key requirement of today’s fast changing business outcome and innovation environment is the ability of organizations to adapt dynamically in an effective and efficient manner. Becoming a data-driven decision-making...A key requirement of today’s fast changing business outcome and innovation environment is the ability of organizations to adapt dynamically in an effective and efficient manner. Becoming a data-driven decision-making organization plays a crucially important role in addressing such adaptation requirements. The notion of “data democratization” has emerged as a mechanism with which organizations can address data-driven decision-making process issues and cross-pollinate data in ways that uncover actionable insights. We define data democratization as an attitude focused on curiosity, learning, and experimentation for delivering trusted data for trusted insights to a broad range of authorized stakeholders. In this paper, we propose a general indicator framework for data democratization by highlighting success factors that should not be overlooked in today’s data driven economy. In this practice-based research, these enablers are grouped into six broad building blocks: 1) “ethical guidelines, business context and value”, 2) “data leadership and data culture”, 3) “data literacy and business knowledge”, 4) “data wrangling, trustworthy & standardization”, 5) “sustainable data platform, access, & analytical tool”, 6) “intelligent data governance and privacy”. As an attitude, once it is planned and built, data democratization will need to be maintained. The utility of the approach is demonstrated through a case study for a Cameroon based start-up company that has ongoing data analytics projects. Our findings advance the concepts of data democratization and contribute to data free flow with trust.展开更多
基金National Social Science Foundation Project of China(21FYSB048)Humanities and Social Sciences Research Project of the Ministry of Education(20YJAZH1010).
文摘Under the background of urban renewal, this paper re-explores the tourism development modeof Nanluoguxiang historical and cultural block based on online review data, and puts forward correspondingdevelopment strategies. As a cultural label of a city, historical and cultural blocks should be updated first inorder to achieve sustainable development. By using multi-source big data review and qualitative researchmethods, the perception evaluation of tourists in Nanluoguxiang is obtained, and the shortcomings ofcurrent tourism development mode are analyzed. Furthermore, corresponding improvement strategies andsuggestions are put forward, in order to provide some effective ideas for the sustainable development ofhistorical and cultural blocks in the future.
文摘Cloud computing is a set of Information Technology services offered to users over the web on a rented base. Such services enable the organizations to scale-up or scale-down their in-house foundations. Generally, cloud services are provided by a third-party supplier who possesses the arrangement. Cloud computing has many advantages such as flexibility, efficiency, scalability, integration, and capital reduction. Moreover, it provides an advanced virtual space for organizations to deploy their applications or run their operations. With disregard to the possible benefits of cloud computing services, the organizations are reluctant to invest in cloud computing mainly due to security concerns. Security is one of the main challenges that hinder the growth of cloud computing. At the same time, service providers strive to reduce the risks over the clouds and increase their reliability in order to build mutual trust between them and the cloud customers. Various security issues and challenges are discussed in this research, and possible opportunities are stated.
文摘从天地图融合数据质量检查出发,依据数据标准,通过结合具体的质检规则,研究了一种基于ArcGIS Data Reviewer模块的自动化、批量化并且可使数据在处理阶段就可进行检查的天地图融合数据检验方法,这种灵活的质检机制大大减少了数据融合过程中的人工反复处理,提高了生产单位的作业效率及成果质量,也可为其他项目的质检系统开发提供借鉴。
文摘Due to ethical and logistical concerns it is common for data monitoring committees to periodically monitor accruing clinical trial data to assess the safety, and possibly efficacy, of a new experimental treatment. When formalized, monitoring is typically implemented using group sequential methods. In some cases regulatory agencies have required that primary trial analyses should be based solely on the judgment of an independent review committee (IRC). The IRC assessments can produce difficulties for trial monitoring given the time lag typically associated with receiving assessments from the IRC. This results in a missing data problem wherein a surrogate measure of response may provide useful information for interim decisions and future monitoring strategies. In this paper, we present statistical tools that are helpful for monitoring a group sequential clinical trial with missing IRC data. We illustrate the proposed methodology in the case of binary endpoints under various missingness mechanisms including missing completely at random assessments and when missingness depends on the IRC’s measurement.
文摘A key requirement of today’s fast changing business outcome and innovation environment is the ability of organizations to adapt dynamically in an effective and efficient manner. Becoming a data-driven decision-making organization plays a crucially important role in addressing such adaptation requirements. The notion of “data democratization” has emerged as a mechanism with which organizations can address data-driven decision-making process issues and cross-pollinate data in ways that uncover actionable insights. We define data democratization as an attitude focused on curiosity, learning, and experimentation for delivering trusted data for trusted insights to a broad range of authorized stakeholders. In this paper, we propose a general indicator framework for data democratization by highlighting success factors that should not be overlooked in today’s data driven economy. In this practice-based research, these enablers are grouped into six broad building blocks: 1) “ethical guidelines, business context and value”, 2) “data leadership and data culture”, 3) “data literacy and business knowledge”, 4) “data wrangling, trustworthy & standardization”, 5) “sustainable data platform, access, & analytical tool”, 6) “intelligent data governance and privacy”. As an attitude, once it is planned and built, data democratization will need to be maintained. The utility of the approach is demonstrated through a case study for a Cameroon based start-up company that has ongoing data analytics projects. Our findings advance the concepts of data democratization and contribute to data free flow with trust.
