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关键词： smart phytoprotection   plant protection   computer science   plant science   information and communication technology  

摘要： As a new interdisciplinary subject, Smart Phytoprotection emerges under the background of the continuous development of science and technology and the in-depth transfer from computer science to plant science. Traditional plant protection discipline mainly focuses on biological sciences which refer to other disciplines including chemistry, biology, and ecology. Then researches have been towards to reduce pesticide pollution, protect the environment, and realize ecological sustainable *** present, the fast development toward various information and communication technologies, e.g., Internet of Things (Chen et al., 2020), Satellite Remote Sensing (Zhang et al., 2021), Aerial Image Processing (Su et al., 2021), Big Data (Wolfert et al., 2017), Cloud Computing (Gai et al., 2020), Artificial Intelligence (Jiang et al., 2020), 5G technology (Tang et al., 2021), Blockchain Zhou et al., 2020), Quantum communication (Gisin and Thew, 2007), and Robotics (Karoly et al., 2020), has provided new opportunities for agriculture applications (Friha et al., 2021), further promoting the integration of both computer science and plant science and leading to realizing "Smart Phytoprotection" with novel research ideas and solutions involved in plant protection and development, which refers to green, smart plant protection, and evolving technology. However, various challenges from different fields need to be addressed to push the boundaries of developments in Smart Phytoprotection. Specifically, due to the lack of in-depth integration between sensors, information and communication technology (ICT), and plant protection technology, some grand challenges are becoming increasingly arduous, resulting in several key research *** diseases and pests pose a great threat to agriculture production, which can directly or indirectly lead to a drop of crop yield and even crop failure. It is critical to monitoring the state of plant diseases and pests efficiently and accurat

摘要： The article examines probabilistic logic as applied to computer science and its problems. Probabilistic logic is treated as a generalization of formal logic. In many cases, the application of probabilistic logic occurs under conditions of uncertainty. Probabilistic logic uses a model approach. Computer science also uses a model approach. Probabilistic logic describes uncertainty using quantitative values of probability. Computer science describes uncertainty using the concept of information entropy. The article introduces the concept of informational logical uncertainty. The article finds a connection between probabilistic logic and entropy. This connection makes it possible to build a probabilistically logical model. This connection makes it possible to create probabilistically logical modeling, which is in many ways an analogue of information modeling. The purpose of probabilistically logical modeling is to overcome information and logical uncertainty.

关键词： Big Data   Genomics   Computer science   Theory and methods  

摘要： The management of the exponential growth of data that Next Generation Sequencing techniques produce has become a challenge for researchers that are forced to delve into an ocean of complex data in order to extract new insights to unravel the secrets of human diseases. Initially, this can be faced as a Big Data-related problem, but the genomic data have particular and relevant challenges that make them different from other Big Data working domains. Genomic data are much more heterogeneous;they are spread in hundreds of repositories, represented in multiple formats, and have different levels of quality. In addition, getting meaningful conclusions from genomic data requires considering all of the relevant surrounding knowledge that is under continuous evolution. In this scenario, the precise identification of what makes Genome Data Management so different is essential in order to provide effective Big Data-based solutions. Genomic projects require dealing with the technological problems associated with data management, nomenclature standards, and quality issues that only robust Information Systems that use Big Data techniques can provide. The main contribution of this paper is to present a Big Data-driven approach for managing genomic data, that is adapted to the particularities of the domain and to show its applicability to improve genetic diagnoses, which is the core of the development of accurate Precision Medicine. (C) 2021 The Author(s). Published by Elsevier Inc.

关键词： Neural networks   Sensors   Semantics   Recommender systems   Bipartite graph   Aggregates   Computer science   Graph neural network   multi-view attention   path embedding   path-generation  

摘要： Recommender systems are ubiquitous and play an important role in most service-based applications. Since rich semantics lie in interactions between user and item, various models based on Graph Neural Network (GNN) are widely adopted to model the interactions and achieve excellent recommendation performance. Nevertheless, these models mainly learn nodes in the path between user and item separately. The path is also selected randomly, which would bring in low-quality paths and lead to suboptimal performance. To address the above issues, this paper proposes a model named Multi-View Attention neural network with high-quality paths (HP-MA). The path between user and item is viewed as an entirety, and a neural network is designed to distill path semantic embedding. Meanwhile, a multi-view attention model is provided to learn the influences between embedding of the path and user/item. Besides, we provide a method to construct HP-MA between target user and item, which would consider the length and inner details of the path. Moreover, a generalized version of our model (HP-MA*) is proposed to consider several kinds of multi-hop paths, simultaneously. Lastly, extensive experiments are conducted on several public datasets, the results demonstrate that our model can achieve better performance than the state-of-the-art models.

关键词： Computer science  

摘要： Entering your personal identification number using the keypad of a cash machine is notoriously insecure. A clever application of the special theory of relativity could make identification safer.

关键词： 新工科   西藏高校   工程应用型   人才培养模式  

摘要： 社会主义新西藏的现代化建设离不开互联网、工业智能产业的布局和发展,必然需要大量新工科人才作支撑。西藏高校是为西藏建设输送中高端人才的重要阵地。本文以西藏大学计算机科学与技术专业为例,描述了西藏新工科人才培养现状,分析了西藏高校新工科人才培养的目标定位,提出了一种西藏高校工程应用型人才培养的教育改革新模式。

关键词： Security   Cloud computing   Games   Servers   Forgery   Computer science   Data privacy   Cloud computing   provable data possession   storage-as-a-service   privacy preserving   security  

摘要： Provable Data Possession is viewed as an important technique to check the integrity of the data stored in remote servers. Recently, a new provable data possession scheme [Secure and Efficient Privacy Preserving Provable Data Possession in Cloud Storage, IEEE Transactions on Services Computing, (2018) Doi: 10.1109/TSC.2018.2820713] was proposed. The authors claimed this scheme can guarantee the storage correction. In this paper, we show this scheme cannot satisfy this fundamental security. Specifically, we demonstrate the malicious cloud can generate a proof to pass the third party auditor's verification even if it does not store the user's whole file.

关键词： 计算机科学   国际顶级会议   优质稿源   国际影响力  

摘要： 【目的】针对计算机科学领域会强刊弱、期刊优质稿源不足的现状,探索本领域学术期刊借鉴会议成功经验的发展之道。【方法】结合Science China Information Sciences的实践,梳理顶级会议专题的组织流程,包括特约编辑的甄选、投稿主题和征稿时间的选择、编辑在组织和出版过程中的重要工作,以及多渠道的宣传推广措施,并分析专题产生的影响。【结果】通过合理的组织和宣传,顶级会议专题获得了广泛的关注和较高的被引频次,并激发了作者向期刊相关学科投稿的热情。【结论】借鉴会议成功经验弥补期刊在评审、出版和交流方面的不足,从顶级会议争取优质稿源是计算机科学领域期刊提升学术水平和国际影响力的有效途径。

关键词： Computer science   Visualization   Limiting   Engineering profession   Government   Mathematics   Problem-solving  

摘要： Visualization, interactive computer graphics, and related topics have been a particularly dynamic area of computer science, producing advances that impact society. Working at times in a research laboratory and at times for two science funding agencies, I held positions at the level of an individual researcher, Director of a VR Laboratory, and funding agency Program Director. This article will discuss some of my experiences, including insight into how science programs in funding agencies are initiated.

关键词： 葡萄   组织培养   原生质体   瞬时表达  

摘要： 本研究以‘夏黑’葡萄(Vitis vinifera)为实验材料,通过调节不同植物生长调节剂浓度配比,探究‘夏黑’葡萄愈伤组织诱导及生根诱导的最适培养基,并在最适培养基条件下,以无菌苗叶片和绿色、黄绿色愈伤组织为材料,对原生质体提取及转化条件进行优化。结果表明,最适合茎段诱导芽的培养基为MS+1.0mg·L^(-1)6-苄氨基腺嘌呤(6-BA)+0.02 mg·L^(-1)α-萘乙酸(NAA),最适合茎段愈伤诱导的培养基为MS+1.0mg·L^(-1)6-BA+0.1 mg·L^(-1)NAA,最适合叶柄愈伤诱导的培养基为MS+2.0 mg·L^(-1)6-BA+0.1 mg·L^(-1)NAA,最适合叶片诱导的培养基为MS+2.0 mg·L^(-1)噻苯隆(TDZ)+1.0 mg·L^(-1)2,4-二氯苯氧乙酸(2,4-D)+0.2 mg·L^(-1)吲哚丁酸(IBA),最适合夏黑葡萄生根诱导的培养基为1/2MS+0.5 mg·L^(-1)IBA。以葡萄无菌苗叶片为最佳原生质体提取材料,在纤维素浓度为30 g·L^(-1)、离析酶浓度为5 g·L^(-1)、果胶酶浓度为4 g·L^(-1)、甘露醇浓度为0.6mol·L^(-1)时,28°C黑暗条件下酶解6 h,抽真空处理50 min后分离的原生质体最为理想。将能表达绿色荧光蛋白(GFP)的重组质粒pCAMBIA1302利用聚乙二醇4000(PEG4000)介导法转化原生质体后,观察到强烈的绿色荧光信号,表明分离的葡萄原生质体可以用作基因瞬时表达体系;并且当PEG4000浓度为300 g·L^(-1)时,转化效果最佳。利用CRISPR-P工具在葡萄VvZEP基因的第一个外显子中设计了2个sgRNA,通过酶切、PCR重组构建了含有2个靶标位点的靶向于VvZEP基因的CRISPR/Cas9载体pGREBn-VvZEP,为后续基因编辑载体转入葡萄原生质体提供了基础。