Percutaneous closure of the inadvertent subclavian artery cannulation during pacemaker implantation

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For China to realise its research and innovation potential the government may have to place greater trust in the academic community

After three decades of being the world's manufacturing powerhouse, China is now looking to science and technology to drive its economic future. However, a recent study suggests that China's higher education research environment faces numerous challenges that may hinder the country from realising its research and innovation potential; from the promotion of short-term thinking, to an excessive level of bureaucratic and governmental intervention. Xueying Han and Richard P. Appelbaum argue that for China to reach the next level of research and innovation, the central government may have to cede control and trust the academic community to take a more active role in guiding the country’s research direction

Bacillus megaterium BMJBN02 induces the resistance of grapevine against downy mildew

Grape downy mildew caused by Plasmopara viticola is one of the most destructive diseases of grapes. All grape cultivars are susceptible to P. viticola. However, the resistance of grape plants could be induced in plant defense with some help of microbes. In this study, Bacillus megaterium BMJBN02 obtained from farmland soil was shown to regulate the resistance of grapevine against downy mildew. The salicylic acid (SA) content and the expression of pathogenesis-related (PR) genes of grapes under different treatments were examined using high-performance liquid chromatography-mass spectrometry (HPLC-MS) and reverse transcription- quantitative polymerase chain reaction (RT-qPCR), and it was found that SA content and the expression of PR genes could play a role in regulating the resistance of grapevine against downy mildew. The five-year plot experiment showed that the resistance effectiveness of isolate BMJBN02 was approximately equal to that of 0.1 % nicotinyl morpholine (commercial fungicide). Therefore, this study provides a valuable candidate method that uses B. megaterium BMJBN02 by regulating the resistance of grape against downy mildew for quality and yield of grape in commercial productivity

SHARING THE MAJORITY OF A SCREEN BASED ON OBJECT DETECTION

Users typically do not hesitate to click on a screen sharing button. However, their personal information (such as website bookmarks, notifications, and desktop files) may be revealed unwillingly through such a share. Accordingly, techniques are presented herein that protect a users\u27 private information when they share their entire desktop or separate windows. Aspects of the presented techniques adopt a state of the art (SOTA) object detection model and achieve real-time inference. Further, the incorporated algorithm is lightweight but useful in that it will not impact performance, but it will provide a positive user experience

Practical Parallel Algorithms for Non-Monotone Submodular Maximization

Submodular maximization has found extensive applications in various domains within the field of artificial intelligence, including but not limited to machine learning, computer vision, and natural language processing. With the increasing size of datasets in these domains, there is a pressing need to develop efficient and parallelizable algorithms for submodular maximization. One measure of the parallelizability of a submodular maximization algorithm is its adaptive complexity, which indicates the number of sequential rounds where a polynomial number of queries to the objective function can be executed in parallel. In this paper, we study the problem of non-monotone submodular maximization subject to a knapsack constraint, and propose the first combinatorial algorithm achieving an $(8+\epsilon)$-approximation under $\mathcal{O}(\log n)$ adaptive complexity, which is \textit{optimal} up to a factor of $\mathcal{O}(\log\log n)$. Moreover, we also propose the first algorithm with both provable approximation ratio and sublinear adaptive complexity for the problem of non-monotone submodular maximization subject to a $k$-system constraint. As a by-product, we show that our two algorithms can also be applied to the special case of submodular maximization subject to a cardinality constraint, and achieve performance bounds comparable with those of state-of-the-art algorithms. Finally, the effectiveness of our approach is demonstrated by extensive experiments on real-world applications.Comment: Part of the contribution appears in AAAI-202

Research Advances in the Nutrient Composition and Functional Characteristics of Bovine Colostrum

Bovine colostrum is the milk secreted by cows in the first few days after natural birth. It is rich in lactoferrin, immunoglobulin, antimicrobial peptides, growth factors and other active ingredients. The special nutritional composition of bovine colostrum endows it with a variety of biological activities, such as regulating immunity, improving gastrointestinal health, improving bone health and promoting wound healing. Therefore, bovine colostrum has attracted extensive attention as a functional food or functional milk ingredient. In this paper, the nutritional composition, biological functions and processing stability of bovine colostrum are described in detail, aiming to provide a reference for the development, application and standardized production of bovine colostrum

Genetic engineering and genome editing techniques in peanut plants

Research has long been associated with human life. In the effort to make a living, many experts who have contributed to the modernization of traditional research methods by conducting various research activities. In this process, professionals, from farmers to senior researchers, have done their part by developing plants that can tolerate or resist to disease. The growing population, climate change and plant disease are having a devastating effect on food security. In particular, it is essential to increase food production by producing high yielding crops of good quality, that may ensure food security. Recently, different gene- editing technologies have been developed. These techniques have been applied in many research fields and their development has provided economic benefits to farmers. Agrobacterium-mediated and biolistic methods are very important techniques for transforming genetic materials in plants. Genome- editing technologies are recent and highly applied in plant research to improve genes associated with yield, disease resistance and drought resistance. For example, Zinc-finger Nucleases (ZFNS), Transcription Activator-like Effector Nucleases (TALEN), and Clustered Regularly Interspaced Short Palindromic Repeats system (CRISPR/ Cas9) methods are now widely applied by researchers and are playing a positive role in increasing production and productivity. Of the gene- editing technology, CRISPR/ Cas9 is widely applied in plant breeding programme as it is easy to use and cost-effective. In this review, we mainly focus on peanut plant, which is an important oil-bearing allotetraploid crop. Therefore, peanut gene editing-technology could increase the oleic acid content in edible peanut oil. Thus, genome editing and gene transformation technologies are extensively explored in this review