简介：上期讲到,小雄他们穿过暗道来到了一个大厅,大厅里的景象让众人目瞪口呆!这时,一向不讨人喜欢的西单不知被什么东西叮了一下,便神色恍惚地离开了众人……

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简介：壁咚释义:时下热门的'告白高招'。溯源:壁咚是日本传过来的流行词语,时常出现在少女漫画、动画以及日剧当中。壁咚指男性把女性逼到墙边,单手或者靠在墙上发出'咚'的一声,让女生完全无处可逃的动作。而后,经过偶像剧演绎,又出现了'胸咚''指咚'。

简介：教育时政国务院总理温家宝3月5日在十届全国人大五次会议上作政府工作报告时指出，教育是国家发展的基石，教育公平是重要的社会公平。要坚持把教育放在优先发展的战略地位，加快各级各类教育发展。

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简介：Inthispapertheprocessofknowledgeaccumulationforaparticulartechnologyisstudied.Twocountries,saythetechnologyfollowerandthetechnologyfrontier,areconsidered.Thefrontier’sknowledgegrowthisdeterminedbyitsR&Deffortsonthetechnology.ThelevelofknowledgestockforthefollowercountryisaugmentedbyitsR&Dactivitiesforthetechnologyandabsorbingsomeoftheexternalknowledgethroughspilloverfromthefrontier.Theextenttowhichthefollowerisabletoexploittheexternalknowledgedependsontechnologicalgap,absorptivecapacity,absorptiontimeanddegreeofspillover.Newconceptssuchasnaturalandenhanceddegreeofspillover,backgroundandinnovativeknowledgeandabsorptionspeedareintroducedinthepresentworktodeeplyexploretheprocessofknowledgespillover.ThefactorsinfluencingtheknowledgedevelopmentinthelongtermaresimultaneouslystudiedinanintegratedstructureprovidedbytheSystemDynamicsapproach.Thisframeworkshowstheresponsestothechangesandprovidesthebasisforexaminingtheinteractionsamongthevariablesovertime.

简介：AbstractThe pandemic of coronavirus disease 2019 (COVID-19) has already evoked massive influence. The global pandemic has been ravaging the whole world for a year, with the number of confirmed human infection cases over 150 million and a death toll exceeding 3 million. Although the genomic sequence of the cognate pathogen SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has been quickly determined, there are still many unknown aspects, including the virus origin and evolution trend, and the effectiveness of current vaccines and drugs against the mutating virus. This review summarizes current knowledge and advances about COVID-19, including virus origin, transmission and infection, with the aim to improve the understanding of COVID-19 and provide a new perspective for future studies.

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简介：AbstractBackground:Cerebrovascular disease has become the leading cause of death in China. The purpose of this article is to analyze China's contribution to the interventional treatment of cerebrovascular diseases.Methods:Bibliometric analysis was used for evaluating the quantity, quality, research hotspots, and cooperation network of publications regarding interventional treatment of cerebrovascular diseases from China. These articles were searched from the database of Web of Science Core Collection. The authors, publication years, citation times, regions, and source journals of retrieved articles were recorded. Network analysis and visualization were performed on Citespace5.6.Results:From 1991 to 2019, a total of 5052 articles regarding cerebrovascular intervention were contributed by Chinese researchers. The number of publications from China grew fastest annually in the latest 5 years among countries. These publications were cited 61,216 times, with 12.12 average citations per item. The h-index was 82. Affiliated hospitals of Capital Medical University contributed most articles. Cerebral ischemia and intracranial aneurysm were the most popular keywords over the three decades. The timeline view of keywords indicated that cerebral ischemia always was a hot spot. Stent techniques were the main treatment tools and still had a strong developing trend. Neural regeneration and neuroprotection were the hot topics of basic researches related to cerebrovascular intervention.Conclusions:The number of researches grows rapidly in China over the decades, but the quality still needs further improvement. The increasing contributions of Chinese researchers to the global knowledge system of cerebrovascular intervention are promising.

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简介：Knowledgerepresentationisakeytothebuildingofexpertsystems.Theperformanceofknowledgerepresentationmethodsdirectlyaffectstheintelligencelevelandtheproblem-solvingabilityofthesystem.TherearevariouskindsofknowledgerepresentationmethodsinESEP3.0.Inthispaper,theauthorsintroducetheknowledgerepresentationmethods,suchasstructureknowledge,seismologicalandprecursoryforecastknowledge,machinelearningknowledge,syntheticpredictionknowledge,knowledgetovalidateandverifycertaintyfactorsofanomalousevidenceandsupportknowledge,etc.andproposeamodelforvalidationofcertaintyfactorsofanomalousevidence.Theknowledgerepresentationmethodsrepresentallkindsofearthquakepredictionknowledgewell.

简介：包括清除的干燥免职和装紧和成核，由干燥、湿的过程的尺寸依赖者喷雾器移动上的当前的知识的地位被考察。在清除的干燥免职andbelow云上的理论评价和测量数据之间的Thelargest差异为亚微米粒子。早干燥的免职模型，基于房间和风隧道大小发展了，趋于与最近的领域大小相比由约一个数量级为亚微米粒子低估干燥免职速度(V_d)。最近发达的模型能为亚微米粒子预言合理V_d值，但是转移到更大的粒子的预言的最小的V_d缩放的不现实的联盟者。实质地也由掉落的液体落下喷雾器粒子清除的装紧的理论研究为亚微米粒子低估清除系数。基于领域，大小能作为理论清除模型的一种选择服务的实验公式。清除的解决ofsize的装紧建模的未来开发需要包括更多的降水性质(例如，微滴表面区域)并且被详细的云评估微物理模型和可得到的大小。为空隙的喷雾器的in-cloudremoval的几个最近发达的成核清除parameterizations当与包裹模型作比较时，给可比较的结果；然而，一旦合适的地大小是可得到的，他们需要被验证。理论的更多和领域研究也被需要以便更好在清除的成核理解器官的喷雾器的角色过程。

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