海外厂商在 OLTP 领域的领先地位短期内难以撼动，基于 MPP 架构的国产 OLAP 数据库快速发展。政府采购启动，行业发展提速。柏睿数据：国产厂商翘楚，内存数据库技术领先行业。我们相信未来公司也能够乘政府采购 的机会，在国内的数据库市场中占有一方天地。

2021 年 Q1 基金计算机持仓比重为 3.27%，低配比例 0.51%，连 续三个季度出现回落。持仓总市值下降，连续五个季度围绕 1000 亿规模附 近波动。持仓市值前 10 名公司变动较小，持仓集中度首次出现下降，“抱团” 效应有所弱化，但仍高于 2020 年 Q3 的水平。在配臵方向上，云计算、网络 安全与信创、智能驾驶、金融 IT、工业软件等仍是机构较为青睐的领域， 并在具体标的选择方面持续优化。

Fingerprint scanners are a type of biometric system, which use stored information about a person’s unique fingerprint traits for authentication purposes to provide access to a system. These scanners are widely used across various end-user segments including consumer electronics, commercial, health care, and defense. Significant adoption of fingerprint scanners in cloud computing along with their extensive use in smartphones is expected to boost their demand in the next few years. In addition, fingerprint sensors have significant applications in online payment transactions and smartphone applications.

The key objective of policy management software is to create, communicate, and maintain policies and procedures in an organization for mitigating different types of risks associated with the management of the organization. In addition, various industries are adopting policy management software to achieve their target goals without affecting the internal and external environment of the organization. Numerous benefits are associated with policy management software. These include provision of consistency within the company, supports in decreasing the communication gap between the employees and organization, protection of the organization from litigation, and achievement of organization’s objectives.

微软斥160 亿美元收购全球智能语音巨头Nuance，押注医疗AI。AR 眼镜热度剧增，头部科技公司争相布局，B 端C 端两开花。VR/AR 初创公司孵化平台Glimpse 递交上市申请。建议积极关注人工智能交互领域发展以及VR/AR 技术在新兴领域的应用。

行业一季报的情况已经明显好于预期，20 年疫情受损公司，今年一季度增长基本是翻倍
以上，相比19 年也有40 以上增长是比较常态的情况，下周大会密集，新产品高发，催化剂多样化。智能化应用拓宽安防外的应用场景，行业空间规模化放大，某种程度上看，海康的增长实际上反映了我国的企业数字化转型的进展。

工业互联网进入规模化扩张窗口期，“5G+工业互联网”面临三个挑战。无人驾驶板块利好政策加持智能驾驶加速发展，9只智能驾驶概念股2020年净利润增幅翻倍。互联网医疗企业上市潮起，在线医疗服务的需求猛增。

The recent technological advancements in the field of next-generation sequencing (NGS) and cell and molecular biology have given birth to a new era of precision medicine, giving a platform to analyze the variability in genes, lifestyle, and environment of each person individually. Now, the researchers have found an even better option of gene expression analysis through single-cell sequencing, which precedes the advancements of next-generation sequencing. In the past few decades, whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) methods have been applied to single cells to combine DNA, RNA, protein, and chromatin information through a single cell. The multi-omics technique has enabled researchers to use genomics, proteomics, transcriptomics, and epigenomic to understand the heterogeneity of genetically identical cells in the same tissue. Single-cell sequencing has been able to portray a clear picture of functions of each specific cell by combining multiple layers of information at a single-cell resolution, analyzing both DNA and RNA to understand single-cell genome or chromatin and transcriptome and proteome data, respectively.