[科学研究和技术服务业,信息传输、软件和信息技术服务业] [2020-07-31]
The life sciences industry is moving from treatment to preventive scenarios and management of patient's health outcomes. In addition, early detection of disease patterns and strategic target is the key for effective business strategies. Thus, life science companies are demanding for analytics software that is used to transform data into useful insights. Further, benefits of analytics software in life sciences such as early detection of prescription and treatment patterns, strategizing patient outcomes and achieving better operational quality that drives the intellectual journey of patient centricity further boosts the growth of the global life science analytics software market. The market is derived exclusively on the basis of the revenue generated through software license, maintenance and subscription. These are used in research & development, clinical trials, preclinical trials, sales & marketing support, regulatory compliance, supply chain analytics and pharmacovigilance. It doesn’t include revenue generated from services provided by the companies.
[科学研究和技术服务业,铁路、船舶、航空航天和其他运输设备制造业] [2020-07-27]
[橡胶和塑料制品业,科学研究和技术服务业] [2020-07-27]
The environmental dilemma caused by reaching high levels of greenhouse gas emissions in the atmosphere is one of the major drivers for the bioplastic market, as Bioplastics help to reduce the dependency on fossil resources, reduce greenhouse gas (GHG) emissions, and increase resource efficiency. Plastics takes about 100 years to decompose, then plastics lies in landfills for very long period. Whereas, bioplastics produced from plant biomass, such as corn starch, sugar cane or wheat, and can be break down or decompose and are absorbed back into the environment. The rate of decomposition of biodegradable bioplastics by the activities of microorganisms is faster than that of traditional plastics. For instance, starch-based bio plastics break down by approximately 65% within three months. This, in turn offers positive impact on the environment, as biopolymers are non-toxic and are easier to recycle. Hence, they take less time to break down, which helps in the protection of the environmentFurthermore, major challenges, such as climate change, energy security, food security, rising human population, and global economic meltdowns, have increased the need for sustainable economic growth that may not have a negative impact on the environment. In this regards, one of the major issues faced by the world remains the replacement of toxic releasing and non-biodegradable polymer. to control air pollution produced due to non-biodegradable plastics, governments across the globe introduced various regulations and policies. Furthermore, governments are encouraging the use of eco-friendly and biodegradable materials for the manufacture of polymers.
[科学研究和技术服务业,信息传输、软件和信息技术服务业] [2020-07-23]
[科学研究和技术服务业,信息传输、软件和信息技术服务业] [2020-07-20]
The benefits of total laboratory automation include reduction of human errors in specimen handling, enhancements in overall process control, and faster turn-around-times (TAT) from specimen collection to test result reporting. Across various industries, laboratories are a vital part of manufacturing and scientific research organizations. The primary goal of research and diagnostic labs is to provide high quality and reliable information, which fulfills the industry needs. The use of manual systems hampers data quality during the transferring process. Currently, technological advancements and increasing pressure to deliver results have led to the use of automated systems in laboratories. The adoption rate of automated systems is increasing, due to its accuracy, advanced data management capacity and reduced repetitiveness, and ultimately reducing the human intervention, and thereby, increasing throughput and accuracy. Many core labs are looking to enhance testing efficiency and better manage resources by upgrading to total laboratory automation (TLA). Although total lab automation can be challenging to plan and implement, it is particularly suited to laboratories that conduct a broad spectrum of highly automated testing coupled with sophisticated laboratory information systems. TLA avoids the duplication, delays, and waste that can occur with task targeted automation.
[科学研究和技术服务业,文化、体育和娱乐业] [2020-07-19]
The speech-to-speech (S2S) translation breaks down communication barriers among people that typically don’ t speak a common language. The basic purpose that such technology used to serve at its inception stages was to enable an instant oral cross-lingual communication. However, the recent developments in the market have been focusing upon accuracy of the Spoken Language Translation with capability to provide a “real-time” conversation. With globalization and frequent international travel, language difference has been acting as a serious barrier.With S2S, the expectations are to break such barrier to foster international business, international tourism, and equalize communication ability. Additionally, as of 2020, the language with a high demand around the world is Chinese (Mandarin). Ethnologue further estimates that the number of native speakers being 1.2 billion and a billion among them speak Mandarin. This is suggestive that Chinese is the most spoken globally and the second-most preferred for online applications after English. The recent technological advances and innovations to increase computational power whilst building smaller and smaller devices with higher performance has led to a strong demand for information retrieving and communication enabled technologies in the market. Further, as machine translation investments rise, the resultant is a more accurate translation.
[科学研究和技术服务业] [2020-07-18]
四川省经济增长主要由第三产业增长驱动。2019 年四川省 GDP 达到 46615.8 亿元,同比增长 7.5%。其中,第三产业增加值 24443.3 亿 元,增长 8.5%。三类产业结构分别为 10.3 : 37.3 : 52.4。第三产业在 省经济产出中占据最大规模,对经济增长的贡献率达 52.6%。2019 年,四川省高新技术产业实现营业收入 1.9 万亿元,同比增长 7.6%; 年末有高新技术企业 5669 家。2018 年,四川省研究及实验(R&D) 经费达 737.1 亿元,在我国大陆 31 个省级行政区中位列第 8,居于前 列。2018 年四川省技术输出合同成交额达 405.83 亿元,在大陆省级行 政区中位列第 9。
[科学研究和技术服务业] [2020-07-18]
增强现实(AR)技术将虚拟信息与真实世界结合,利用三维建模、智能交互、传感等多种 技术,将计算机生成的文字、图象、三维模型等虚拟信息仿真后,应用到真实世界中。
[科学研究和技术服务业] [2020-07-13]
[食品制造业,科学研究和技术服务业,农副食品加工业] [2020-07-13]