Millie
your market intelligence analyst
Search Results
Edit Save
172,232 results
The selections or defaults defined for this collection may have been too restrictive for this search query. You can refine your results for this search.
新华社北京2月22日电 2月15日,国家主席习近平亲切复信美国犹他州卡斯卡德小学学生,鼓励他们继续努力学习中文,了解中国文化,为增进中美两国人民友谊作出贡献。. 春节前夕,卡斯卡德小学50名四年级学生用中文写给习近平新年贺卡,介绍他们学习中文的情况和个人爱好,表达对中国和中国文化的喜爱,表示希望能有机会访问中国,并祝习爷爷新年快乐。. 习近平在复信中表示,中国和美国一样,是很大的国家。中国有5000多年文明历史。中国人民和美国人民一样热情好客。汉语是世界上十几亿人使用的语言,通过学习汉语你们可以更多了解中国历史文化。很高兴看到你们的汉字写得这么好,汉语学得这么棒。希望你们继续加油,取得更大进步,做中美两国人民友谊的小使者。. 卡斯卡德小学是犹他州一所公立学校,成立于1967年,是州内最早开展中文沉浸式项目的学校之一,全校有一半以上学生参加该项目。犹他州学习汉语人数占全美总数的五分之一。该州中文沉浸式项目始于2009年,目前共有76所中小学开展该项目。. 《 人民日报 》( 2020年02月23日 01 版)
新华社北京2月22日电 中共中央政治局常委、国务院副总理韩正21日在公安部出席全国恢复交通运输秩序电视电话会议并讲话。会议认真学习贯彻习近平总书记重要讲话和指示批示精神,贯彻落实党中央、国务院决策部署,对推动恢复正常交通运输秩序工作进行部署。. 韩正表示,党中央、国务院高度重视恢复交通运输秩序。习近平总书记强调,要建立与疫情防控相适应的经济社会运行秩序,有序推动复工复产。交通运输是“先行官”,必须打通“大动脉”,畅通“微循环”。李克强总理多次提出工作要求。各地区各有关部门要切实把思想认识和行动统一到党中央、国务院决策部署上来,在做好疫情防控工作的前提下,采取有效措施恢复正常交通运输秩序。. 韩正强调,要健全工作机制,压实属地责任和部门监管责任,把各项工作抓实抓细抓落地。一是分区域差异化管控,打通交通堵点。疫情低风险地区,要全面取消道路通行限制,恢复正常交通运输秩序。疫情中风险和高风险地区,要根据疫情形势优化细化交通管控措施。湖北省要毫不放松“外防输出”,坚决切断疫情传播通道。北京市要着力“外防输入”,有序高效控制进京规模。二是科学放开货运物流限制,力争实现货运“零阻碍”。非疫情重点地区要全面取消对货运车辆、船只的交通限制,确保原料进得来、产品出得去。三是逐步有序恢复道路客运,做好农民工返岗复工服务保障,组织开展“点对点”服务,让农民工成规模、成批次安全有序返岗。. 中共中央政治局委员、国务院副总理刘鹤出席会议,国务委员、公安部部长赵克志主持会议。国务院有关部门负责同志在主会场参加会议,各省、自治区、直辖市人民政府和新疆生产建设兵团负责同志及有关部门负责同志,各市、县人民政府负责同志等在分会场参加会议。公安部、交通运输部和江西省、贵州省政府负责同志作了发言。. 《 人民日报 》( 20.
GSMArena.com 02/22/2020 17:00
OnePlus phones have never been famous for their camera capabilities and the 7 Pro is the first phone from the company employing the full set of focal lengths users seek. But according to DxOMark's latest camera review, the 7T Pro, which has the same hardware and software the 7 Pro has, is fairly competitive getting right behind the Galaxy S10 and the Huawei P30 Pro. The overall score of the phone's camera performance is 114 points, while the Galaxy S10 and the Huawei P30 Pro both scored 116. It's a pretty decent score and the reviewers outline the accurate exposure and the wide dynamic...
Excelsior (Mexico) 02/22/2020 16:54
Redacción. CIUDAD DE MÉXICO. Si hubiera un premio a la jugadora más valiente, sin duda, sería para Jane O’ Toole. La futbolista del equipo St Mirren , de la liga femenil escocesa, fue a disputar un balón contra una jugadora del equipo Inverness. Tras el choque entre piernas y la caída, su rodilla se disloca. La capitana del equipo, al verla que estaba fuera de su lugar, comienza a golpearla con fuerza para acomodarla. RESPECT to St Mirren WFC captain Jane O'Toole who suffered a dislocated knee cap, popped it back in, then continued to play the full 90 minutes. -. — GiveMeSport (@GiveMeSport). Debido a esto, el árbitro paró el encuentro para llamar a los paramédicos y que así pudieran atender a la joven, quien sentía un fuerte dolor. Lo más imp.
Inderscience (EU) 02/22/2020 16:54
This paper investigates factors associated with strategic capabilities, market and non-market strategies (NMS), and performance in Ghana. SmartPLS was utilised to analyse 166 middle and top managers in the Accra-Tema district. Two distinct capability-strategy 'paths' to firm performance were identified. Financial performance was driven by technology and marketing capabilities, cost leadership, and political NMS, while non-financial performance was driven by management and marketing capabilities, differentiation, and social NMS. A firm's political involvement leveraged by cost controls and technology improved financial outcomes, while social engagement influenced only non-financial results.
Inderscience (EU) 02/22/2020 16:54
Feature selection identifies the key aspects involved in predicting the outcome. In this study, we propose boruta and elastic net (Enet) feature selection for classifying breast cancer datasets. A comparative study of boruta, Enet along with genetic algorithms (GA) and consistency-based subset feature selections are done, where Enet selected best features for Wisconsin diagnostic breast cancer (WDBC) and breast cancer datasets. To prove the stability of Enet feature selection, variable importance of machine learning algorithms like naive Bayes (NB), multilayer perceptron (MLP) and random forest (RF) is evaluated and compared. It is proved that the features obtained by Enet contain all the common variables selected by tested machine learning.
Inderscience (EU) 02/22/2020 16:54
Information systems (IS) are becoming increasingly complex and they have issues to be solved. New technologies, products and deployment models make the management of an IS difficult to maintain. Organisations need to deploy tools, processes, and governance in their information technology (IT) environment to support their IS. This increases even more the complexity of an IT environment and it drives organisations to manage the environment by silos or components. This type of management inhibits organisations to ensure the entire environment has been properly managed according to what was agreed in the outsourcing contract despite the usage of IT frameworks available. This paper intends to analyse and identify these issues, and also to propos.
Inderscience (EU) 02/22/2020 16:54
Multi-agent systems consist of several agents that exist at the same time, share common resources and communicate with each other. They are self-controlled and operate in a network environment. Mostly, they are used by control engineers to control specific communication and computing channels using a number of strategies. At large scale, multi-agent systems are being used in smart grids and sensor-controlling applications. Since the nature of multi-agent systems are autonomous, they require a distributed operation environment. Due to this feature of multi-agents, they are different from all other systems, because when network size increases, the control objectives can be achieved accordingly without any complexity of sensing and communicati.
Inderscience (EU) 02/22/2020 16:53
Many of e-learning systems in their web-based courses do not have personalisation based on individual needs and their capabilities. Main challenging aspect of personalised delivery of e-learning is concerned with an adaptive course delivery along with content delivery. Personalised e-learning environment provide recommendations to learning community for supporting and also helping them go through the process of e-learning, as it plays a crucial role in promotion of smart learning in smart cities. In this work, a novel framework namely, personalised bee recommender for e-learning (PBReL) based on artificial bee colony (ABC) optimisation is proposed to build a structure of recommendation by using K-means clustering. Many other recommender sys.
O Globo (Brazil) 02/22/2020 16:51
RIO - Desde a primeira noite de desfiles da Série A, nesta sexta-feira de Carnaval, catracas ajudam a controlar o acesso à pista de desfiles do Sambódromo do Rio em diversos pontos, da concentração à dispersão. O sistema de verificação implantado este ano foi uma precaução tomada pela Liga Independente das Escolas de Samba (Liesa) para impedir um novo esquema de fraudes de credenciais, como o que foi identificado no ano passado. LEIA:. Em 2019, seguranças e diretores da liga apreenderam quase uma centena de credenciais fraudadas ao longo dos cinco dias de desfiles na Sapucaí — número recorde para o evento em que cada ingresso, da arquibancada aos camarotes, é disputadíssimo. No início da noite desta-sexta-feira, uma mulher foi barrada ao ten.

Therapeutic Areas

Clinical Trials and Phases

Business Issues

Companies - Public

Companies - Venture Funded

Financial Results

Global Markets

Global Risk Factors

Government Agencies

Job Titles

Legal and Regulatory

Cell Receptors

Cells

Diagnostics and Therapeutics

Diseases

Drugs - Brand Names

Drugs - Generic

Enzymes

Genes

Health Care

Health and Wellness

Human Anatomy

Mechanisms of Action

Medical Devices

Proteins

Sources

Strategic Scenarios

Trends

Hints:

On this page, you see the results of the search you have run.  You may also view the following:

  •  Click on this drop-down menu on the right hand side of the page, to choose between the machine learning-produced Insights Reports, or the listing of concepts extracted from the results, in chart or list format. 


  •  View the number of search results returned for the search in each of your collections, and click on any of those numbers to view the entire listing of results from the chosen collection.

  •  Use the search adjustment drop-downs to change the scope, sorting, and presentation of your results.

  •  Show or hide the record’s caption (content description).

  •  Show actions that can be made with the search result record.

  •  Click on the Save button after running your search, to save it so that its results will be updated each time relevant new content is added to the designated collection. You may choose to be notified via search alerts.

Click here for more info on Search Results

Click here for more info on Machine Learning applications