provided as part of the Early Years Learning Framework Professional Learning ProgramAbout Early Childhood AustraliaEarly Childhood Australia actively promotes the provision of high-quality services for all young children from birth to eight years and their families, and supports the important role of ...
The Early Years Learning Framework: Getting started 来自 ResearchGate 喜欢 0 阅读量: 63 作者: J Goodfellow 摘要: Early Childhood Australia actively promotes the provision of high-quality services for all young children from birth to eight years and their families, and supports the important role...
海外直订The Early Years Foundation Stage (Eyfs) 2024: The Statutory Framework for Group and School-Ba... 作者:Learning Matters出版社:Learning Matters出版时间:2024年10月 手机专享价 ¥ 当当价 降价通知 ¥170.00 配送至 广东佛山市 至 北京市东城区 服务 由“中华商务进口图书旗舰店”发货,并提供...
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Data gaps are hindering progress on the Sustainable Development Goal for education and lifelong learning. Modest funding will help to fill them. Editorial18 Jul 2023 Nature Infectious diseases and the Sustainable Development Goals: progress, challenges and future directions Infectious diseases markedly ...
Alghassab M. Quantitative assessment of sustainable renewable energy through soft computing: Fuzzy AHP-TOPSIS method. Energy Rep. 2022;8:12139–52.https://doi.org/10.1016/j.egyr.2022.09.049. Google Scholar Ali S, Shirazi F. A transformer-based machine learning approach for sustainable E-waste ...
Fig. 1: The structure of the multi-task learning model (MTL-NET). The MTL-NET contains three input layers (i.e., the predictors in each month) and each input will use the convolutional block to extract spatial features. The convolutional block consists of one channel attention layer, three...
Years ago, when I was writing the post that would become the Schedules of Mating chapter of my first book, my emphasis was on how an evolved dynamic (female pluralistic sexual strategy) translated into evolved social dynamics (feminine primary social conventions). My focus then was on how the...
ArticleOpen access07 November 2022 Introduction In December of 2020, AlphaFold2 (AF2),1a machine-learning based model to predict protein structures developed by DeepMind, won the championship in the 14th Critical Assessment of Structure prediction (CASP14).2One and a half years later, DeepMind and...
Machine learning-based in-hospital mortality prediction models for patients with acute coronary syndrome., 127–34.(2022). Predictive ability of the national early warning score in mortality prediction of acute pulmonary embolism in the Southeast Asian population.(2), 60.https://doi.org/10.3390/jcd...