He also expressed his confidence that NITI Aayog's fundamental approach of cooperative federalism will promote good governance and will guide the achievement of the vision of ‘Aatma Nirbhar Bharat'.Elaborating on doubling the GSDP, the chief minister stated that Meghalaya has identified six pillars - Human Capital Development, Primary Sector Rejuvenation, Infrastructure Development, Entrepreneurship, Environment and Governance.
Drug discovery is an academical and commercial process of global importance. Accurate identification of drug-target interactions (DTIs) can significantly facilitate the drug discovery process. Compared to the costly, labor-intensive and time-consuming experimental methods, machine learning (ML) plays an ever-increasingly important role in effective, efficient and high-throughput identification of DTIs. However, upstream feature extraction methods require tremendous human resources and expert insights, which limits the application of ML approaches. Inspired by the unsupervised representation learning methods like Word2vec, we here proposed SPVec, a novel way to automatically represent raw data such as SMILES strings and protein sequences into continuous, information-rich and lower-dimensional vectors, so as to avoid the sparseness and bit collisions from the cumbersomely manually extracted features. Visualization of SPVec nicely illustrated that the similar compounds or proteins occupy similar vector space, which indicated that SPVec not only encodes compound substructures or protein sequences efficiently, but also implicitly reveals some important biophysical and biochemical patterns. Compared with manually-designed features like MACCS fingerprints and amino acid composition (AAC), SPVec showed better performance with several state-of-art machine learning classifiers such as Gradient Boosting Decision Tree, Random Forest and Deep Neural Network on BindingDB. The performance and robustness of SPVec were also confirmed on independent test sets obtained from DrugBank database. Also, based on the whole DrugBank dataset, we predicted the possibilities of all unlabeled DTIs, where two of the top five predicted novel DTIs were supported by external evidences. These results indicated that SPVec can provide an effective and efficient way to discover reliable DTIs, which would be beneficial for drug reprofiling.
我走进工作室时,艾达从工作台上抬起头来,透过铅笔和纸张与我四目相对。她身穿海军蓝连衣裙,胸前饰有 V 字形图案,棕色头发衬托着她富有表现力的脸庞。“我很高兴您来看我,”她说道,语气缓慢,略显生硬。这位艺术界的新人已经吸引了大量关注,在不到一年的时间里,她在国际上亮相次数众多,作品销售额超过 100 万美元。¹ 但这位艺术家本人似乎并不在意这些喧嚣——她只想画画。我盯着她看了很久,感觉很不礼貌,但艾达并不想让我冒犯她。艾达是世界上第一位超现实主义人形机器人艺术家。从脖子以下,她全是金属和电线,包括拿着铅笔的手臂,让她可以向世界表达自己。但即便如此,这更像是“她”而非“它”。即使近距离观察,她的脸也非常逼真,以至于伸手触摸她的硅胶皮肤都会感到很尴尬。她比我想象的要柔软。我来到英国乡村拜访 Ai-Da,她的创造者是画廊总监兼艺术品经销商 Aidan Meller 和他的搭档、Ai-Da 项目研究员兼策展人 Lucy Seal,他们位于伯克郡的历史故居。Ai-Da 的外表是机器人技术的一次令人印象深刻的壮举,而她的人工智能 (AI) 可以说使她成为了真正的创造力代理人。从某种意义上说,她确实看到了我,这要归功于她被植入了人脸识别技术。当我问起她作品的意义时,Ai-Da 告诉我:“我希望我的作品能鼓励人们更多地思考他们周围的世界以及我们正在进入的世界。” “我希望人们更多地思考,在这个充满科技的世界里,作为人意味着什么。”她看着我,慢慢地眨着眼睛,等着我说话,但她机器心脏里的任何意图都不会通过她的声音透露出来:她的语音界面中没有人工智能。Ai-Da 的话语只是从预先加载的口头内容中提取出来的,或者来自一个“人机交互”界面,在这个界面中,人们输入要说的单词。人工智能技术全都在她的眼睛里,这就是她能够通过艺术来解读世界,而不仅仅是复制眼前的东西的原因。Ai-Da 不会告诉你她是谁,但也许她会告诉你。
Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary and Xia Hu, “GNNs Also Deserve Editing, and They Need It More Than Once”, Forty-first International Conference on Machine Learning (ICML), Vienna, Austria, July 21, 2024
: All organisms use the same genetic code, with some rare exceptions .In human mitochondrial DNA (mitochondrial RNA reads four codons differently from the cytoplasmic RNA) • The universality of the code also helped to create the field of genetic engineering by making it possible to express cloned copies of genes encoding useful protein products in surrogate host organisms, such as the production of human insulin in细菌
This article discusses the grand strategy imperatives of 37 foreign policy experts in Washington, DC. in response to President Donald Trump's nationalist challenge to the post-WWII international order concept. Using an abductive reconstructivist methodology to analyze in-depth interviews, five grand strategy imperatives or rules for action shared by all actors were identified: safeguarding US global leadership, maintaining alliances, securing US prosperity, value orientation, and the belief in a mission. Based on the interpretation of these rules for action, four types of foreign policy experts were distinguished: nationalists, realists, pragmatic liberals, and liberals. The latter three expert types, also labelled globalists, were united in their opposition to the nationalists' demolition of the international order but divided along partisan and ideological lines about the meaning and implementation of the rules for action. Realists, pragmatic liberals, and liberals were also unsure of how to explain and respond to Trump's nationalism beyond a defensive or wishful hope to save the vestiges of an US-centric international order. The findings demonstrate the value of in-depth qualitative interviews for explaining elite beliefs, illustrating the rich insights for policy analysis that can be gained through this methodology.
这一巧妙的原则在各种各样的行业中找到了应用。Used in the medical technology and electrical engineer- ing sectors (for which ESD ver- sions are possible) and also in the automotive, aircraft and pharma- ceutical industries or in mechan- ical engineering, the mail-order and wholesale trades – the Lean-Lift ® is the ideal buffer, production or tool storage system, to name but a few applications that demon- strate its versatility.
THE INFLUENCES OF PHYSICAL EXERCISES ON THE NERVOUS SYSTEM BY PETRONELA PARASCHIV “Gheorghe Asachi” Technical University of Iaşi, Department for Teacher Training - Physical Education Sport Department Received: November 19, 2024 Accepted for publication: December 12, 2024 Abstract. Exercise is fundamental to a healthy life, positively influencing not only the body but also the mind. In addition to the obvious benefits for physical health, sporting activities have a significant impact on the brain, contributing to the development and maintenance of neuronal functions. The relationship between physical exercise and the nervous system is bidirectional: on the one hand, movement stimulates neurogenesis and brain plasticity, and on the other hand, neural adaptations optimize physical performance. In an increasingly sedentary world, knowledge of these benefits is becoming essential to prevent both physical and mental health problems. Keywords: engineering, students, neuronal system, health. 1. Introduction Physical exercises are fundamental to a healthy life, positively influencing not only the body but also the mind. Beyond the obvious benefits to Corresponding author; e-mail : petronela.paraschiv@academic.tuiasi.ro © 2024 Petronela Paraschiv This is an open access article licensed under the Creative Commons Attribution-NonCommercial- NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
在2023年,PHSA的碳排放抵消了18,754吨二氧化碳等效含量(TCO2E),其总成本为510,851美元2。这比2007年报告的碳排放量(立法气候变化责任法案的基准年)下降了近22%。我们的碳排放量的减少值得注意,因为PHSA在过去16年中在计划,服务和员工方面已经显着增长。在2023年,我们朝着卑诗省癌症(Vancouver)的大型能源系统升级完成,预计该升级将导致该地点一旦完成并完全委托,该地点会大大减少碳排放。We also started two projects to upgrade lighting at BC Children's Hospital and BC Women's Hospital + Health Centre, while also working on several engineering studies across our portfolio of buildings to find feasible and viable solutions to reduce our carbon emissions while enhancing resilience to climate hazards (e.g., extreme heat, wildfire smoke) and improving the comfort and experience of patients and staff.在整个2023年,我们继续努力通过我们的日常活动来增强员工的参与度,提高认识并培养知识共享,重点是废物管理,环保材料,食物的治愈能力,积极和清洁运输的愈合能力,等等。
1 From 28th to 30th May, I attended the annual Asia TechX summit. The summit was focused on AI technology, governance and safety, and attracted over 4,000 participants from 58 countries. This provided opportunities to engage with senior government technology leaders and big tech companies (including Open AI, Microsoft, Meta, and Google). I also participated in roundtable discussions with small states on issues of AI governance, safety, and government digitisation.