在我们2020年第1期杂志编审的最后阶段，举国上下正在打一场新型冠状病毒感染的肺炎疫情防控阻击战。这是一场遭遇战、全民战、全球战，也是一场信息战、情报战。

很早就有人说，我们正处于一个变革丛生的“乌卡时代”。“乌卡”是英文“VUCA”——一个新造词的音译，它是volatility（易变性）、uncertainty（不确定性）、complexity（复杂性）、ambiguity（模糊性）4个词的首字母的缩写。“乌卡时代”是一个变幻莫测的时代。这两年多来，新冠疫情席卷全球，让我们每一个人都体验和感受到了时代的这种“乌卡性”——一个“百年未有之大变局”和“世纪大疫情”交织的“乌卡世界”！

党的十九届六中全会把推进科技自立自强作为实现第二个百年奋斗目标的重大任务来加以部署，为全国科技界和广大科技人员奋进新时代、走好新征程提供了根本遵循。科技情报行业要立足新发展阶段、贯彻新发展理念，在构建新发展格局、推动高质量发展进程中，以科技情报服务的主动转型助力科技自立自强、助推科技强国建设。

自去年10月以来，“构建国家科研论文和科技信息高端交流平台”（以下简称“高端交流平台”）已经成为科技情报界、科技期刊界、科学出版界、科学传播界、科技文献数据库商等共同关注的一个热点话题。

有人说，科学技术既是硬实力也是软实力。科技的软实力多体现为其知识属性，也是隐藏在其硬实力之下的具有渗透力和吸引力的部分。科技发达的国家在国际上具有较强的软实力势能，一个国家的经济、科技、军事硬实力越雄厚，其影响世界格局的能力就越大，国际地位就越高，其价值理念和发展模式就更容易得到认同，这就是科技显露出的一种软实力。具体而言，公民科学素质、科技期刊、学会等科学共同体的建设、与国外科技组织的合作交流等都代表着一个国家科技软实力的水平。

“构建国家科研论文和科技信息高端交流平台”是实现科技自立自强的关键前提之一，是强化国家战略科技力量的重大举措之一。我们的国家战略要落地，必须发挥新型举国体制的优势。2016年8月出台的《“十三五”国家科技创新规划》就指出要“探索社会主义市场经济条件下科技创新的新型举国体制……为提高国家综合竞争力、保障国家安全提供强大支撑”。新型举国体制是在充分发挥市场经济作用的基础上政府集中力量办大事的优势体制，是中国特色社会主义制度优势的重要体现。它在强化国家战略科技力量，引导科技创新重点突破，实现跨越式创新发展方面，具有一般市场经济体制下的政府所不具备的能力。从历史和现实中都可以发现，在市场经济环境下“国家科研论文和科技信息高端交流平台”是需要政府、市场和社会共同构建的，支撑科技创新和支持科学决策的“高端交流平台”的建设和服务是依靠“政产学研用”的有机合力共同完成的。

The core author groups in the field of security intelligence were determined through bibliometric methods and corresponding basic characteristics were analyzed based upon the open source data. All the dataset were collected under the National Intelligence Law of the People's Republic of China guideline. Analyzing the characteristics of the core author groups is helpful to the cooperation among scholars, construction of academic community and the long-term development of the discipline. In the field of security intelligence, a stable research strength has been formed but mainly centered in military and police academies, while a low participation of related research was observed in comprehensive universities; rational age structures were seen in the core author groups and there is still a need for qualified young scholars; strong Matthew effect exists in scholar agglomeration and experts from practical department rarely publish academic papers; the phenomenon of scholastic intercourse relationship varies significantly between different types of universities despite of the high overall academic level of core author groups; lack of cooperation among the core author groups is found but the cooperation trend has obviously strengthened in recent years. It is recommended to strengthen the diversified participation of research forces, increase the support for young scholars and female scholars, improve the talents cultivation and disciplinary system building, encourage the academic cooperation, and expand the platform for academic communication, thus promote the construction of academic community for security intelligence.

Currently, the Internet-based science information originating from foreign key websites has become an important form and an integral part of scientific intelligence. To extract, integrate and parse those web page information by using vertical crawling technology helps scientific researchers gain an overall but in-depth understanding of the up-to-date scientific achievements in various fields in real time. But it is difficult to have access to some of foreign websites as they have also increased the research and application of anti-crawling technology. With the crawling technology surpassed by anti-crawling technology, it becomes particularly difficult to obtain information on topic-specific contents in large scale. We analyze typical scientific websites based in foreign countries to give systematic introduction of crawling and anti-crawling technologies and corresponding solutions.

构建“国家科研论文和科技信息高端交流平台”（下文简称“高端交流平台”）将成为“十四五”期间乃至更长时期内我国“强化国家战略科技力量”的重要举措之一。“高端交流平台”是国家创新体系的重要组成，是科技创新软实力的“硬指标”。立足“两个大局”，在开放科学、开放创新和深度信息化的大趋势下，在新一轮科技革命和产业变革深入发展的大背景下，从我国建设科技强国战略视角看，构建“高端交流平台”就是属于“国之大者”的“头等大事”。当前，构建“高端交流平台”，既要注重“源”——内容建设，又要加快“流” ——平台建设；既要坚持开放合作，又要加快自立自强。

Digital therapy is becoming the focus of digital health ecosystem.On the one hand, digital therapy can make medical services more comprehensive and personalized.On the other hand, it can be affordable for more people.Digital therapy is driven by software and provides intervention measures such as prevention, management and treatment for specific diseases of patients.The United States is the most active region in the research and development of digital therapy in the world, and China has also begun to make efforts in this field in recent years. At present, Digital therapy is mainly concentrated in the field of mental diseases and central nervous system diseases.The U.S. Food and Drug Administration approved the ReSET of pear therapeutics in September 2017,

making it the first prescription digital therapy. At present, the head enterprises of digital therapy mainly include Pear Therapeutics, Hinge Health, Omada Health, etc. Each country regulates digital therapy and product access according to factors such as safety, effectiveness and data security. The digital therapy industry is still in its early stage and there is huge room for growth in the future.

Live-streaming platform is a new kind of empathic media. According to the characteristics of the live-streaming industry, this paper studies the user segmentation and personalized recommendation methods suitable for the live-streaming platform. Based on the importance of user stickiness and long-term value in the live-streaming platform, the average viewing time of users is integrated into the existing RFM model as an important dimension to build the RFMT model. On this foundation, we propose RFMT Cluster and RFMT Segmentation to segment users with different values. The weighted method of index is used to calculate the user-anchor value preference, and the user rating matrix is constructed based on it. Combined with the collaborative filtering algorithm, the recommendation experiment is carried out. This paper is based on the background data of a domestic mainstream live-streaming platform. The verification results show that the user segmentation method based on RFMT Segmentation is more suitable for practical application recommendations, and recommendation effect of various groups after subdivision has been greatly improved. RFMT model increases the consideration of user stickiness and long-term value, which is more suitable for the characteristics of live-streaming platform. The proposed method of user segmentation and personalized recommendation based on live-streaming platform is effective and feasible.