Science 1 Year Digital Access Code

Cambridge Primary Science is a flexible, engaging course written specifically for the Cambridge Primary Science curriculum framework. This Activity Book for Stage 4 contains exercises to support each topic in the Learner's Book, which may be completed in class or set as homework. Exercises are designed to consolidate understanding, develop application of knowledge in new situations, and develop Scientific Enquriy skills. There is also an exercise to practise the core vocabulary from each unit.

Cambridge Primary Science is a flexible, engaging course written specifically for the Cambridge Primary Science curriculum framework. This Learner's Book for Stage 1 covers all objectives required by the curriculum framework in an engaging, visually stimulating manner. Learning through enquiry is supported by hands-on activity suggestions, which provide integrated coverage of the Scientific Enquiry objectives. Assessment is achieved through 'Check your progress' questions at the end of each unit.

"This book provides readers with an overview of the major subdisciplines of exercise science, introduces readers to the basics of quantitative research in these subdisciplines, and illustrates how interdisciplinary collaboration and applied research in exercise science-related professions contributes to the performance and health of all people"--

Cambridge Primary Science is a flexible, engaging course written specifically for the Cambridge Primary Science curriculum framework. This Teacher's Resource for Stage 6 contains guidance on all components in the series. Select activities and exercises to suit your teaching style and your learners' abilities from the wide range of ideas presented. Guidance includes suggestions for differentiation and assessment, and supplementing your teaching with resources available online, to help tailor your scheme of work according to your needs. Answers to questions from the Learner's Book and Activity Book are also included. The material is presented in editable format on CD-ROM, as well as in print, to give you the opportunity to adapt it to your needs.

Cambridge Global English Stages 7-9 follow the Cambridge Lower Secondary English as a Second Language (ESL) Curriculum Framework. Coursebook 7 is organised into eighteen thematic units based on the Cambridge International Examinations Scheme of Work for Stage 7. The topics and situations in Cambridge Global English have been selected to reflect this diversity and encourage learning about each other's lives through the medium of English. It presents realistic listening, speaking, reading and writing tasks, as well as end-of-unit projects similar to those students might encounter in the context of a first-language school. After every other unit, there is a literature spread, featuring authentic prose, poetry, plays and songs from a variety of sources. CEFR Level - low B1

This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning Algorithms and Applications.- Heuristic Optimization Algorithms for Real-World Applications.- Evolutionary Multi-Objective Optimization and Its Applications.- Swarm Evolutionary Algorithms for Scheduling and Combinatorial.- Optimization.- Swarm Intelligence and Applications in Combinatorial Optimization.- Advances in Metaheuristic Optimization Algorithm.- Advances in Image Processing and Pattern Recognition Techniques.- AI in Biomedicine.- Bioinformatics.- Biometrics Recognition.- Information Security.- Virtual Reality and Human-Computer Interaction.- Healthcare Informatics Theory and Methods.- Intelligent Computing in Computer Vision.- Intelligent Agent and Web Applications.- Reinforcement Learning.- Machine Learning.- Modeling, Simulation, and Optimization of Biological Systems.- Biomedical Data Modeling and Mining.- Cheminformatics.- Intelligent Computing in Computational Biology.- Protein Structure and Function Prediction.- Biomarker Discovery.- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology.- IoT and Smart Data.- Intelligent Systems and Applications for Bioengineering.- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics.- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications.