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Books > Science & Mathematics > Biology, life sciences > General
Exam Board: OCR Level: A level Subject: Science / Biology First
teaching: September 2015 First exams: June 2017 An ActiveBook is
included with every Student Book, giving your students easy online
access to the content in the Student Book. They can make it their
own with notes, highlights and links to their wider reading.
Perfect for supporting work and revision activities. Student Book 1
supports a standalone AS course and provides the first year of a
two-year A level course; Student Books 1 and 2 together support the
full A level course. A cumulative approach to learning constantly
builds on what has previously been taught. The chapter openers
highlight prior learning requirements and link to future learning.
The required maths skills are highlighted at the start of each
chapter providing opportunities for students to check understanding
and remedy gaps. Bigger spreads require students to read real-life
material that's relevant to the course and use knowledge in new
contexts. Accompanying questions require students to analyse how
scientists write, think critically and consider issues. Preparing
for your exams sections highlight the key differences between
preparing for an AS and full A level exam. Practice question
spreads provide opportunities for students to regularly check their
understanding using questions written in the style of the new exams
from day one.
This book presents modern methods and real-world applications of
compositional data analysis. It covers a wide variety of topics,
ranging from an updated presentation of basic concepts and ideas in
compositional data analysis to recent advances in the context of
complex data structures. Further, it illustrates real-world
applications in numerous scientific disciplines and includes
references to the latest software solutions available for
compositional data analysis, thus providing a valuable and
up-to-date guide for researchers and practitioners working with
compositional data. Featuring selected contributions by leading
experts in the field, the book is dedicated to Vera Pawlowsky-Glahn
on the occasion of her 70th birthday.
Author William Moreira has spent decades studying and seeking
God-sometimes while flying high above the clouds in his Cessna. In
that time, he has discovered that God is everywhere. Now, in this
new study, he takes issue with Stephen Hawking and other scientists
and individuals who argue against God's existence. He seeks to
disprove their theories and contemplates ways you can
use your brain to discover the true nature of the universe;
live in a manner that will lead to a happy place in eternity;
and
argue against the theories of Hawking and his constituents.
While some aspects of the universe will remain a mystery, it's
clear that God exists. What's more, it's up to you to find the
right path to moral evolution. You must look at the infinity of the
illuminated dark matter encrusted within the stars and, in
exaltation, accept that there is a super power and that God is
everywhere.
Join Moreira as he takes on various foolish views about the
universe and existence. You can find faith, understanding, and the
knowledge needed to live a more fulfilling life with The Big Nest
Originated the Big Bang of Stephen Hawking's Black Holes.
Germs. Everybody has them! Some germs help people. Some germs can
harm people. Add and subtract with tens as you learn all about
germs. This nonfiction math book combines math and reading skills,
and uses real-life examples of problem solving to teach
subject-area content. The dynamic images, detailed sidebars,
practice problems, and math diagrams make learning arithmetic easy
and fun. Text features include a table of contents, a glossary, an
index, and captions to build vocabulary and increase understanding
of math and reading concepts. An in-depth problem-solving section
provides additional learning and practice opportunities. Engage
students with this high-interest math book!
Cellular Automata (CA) are a class of spatially and temporally
discrete mathematical systems characterized by local interaction
and synchronous dynamical evolution, which show complex behavior
and are able to model biological phenomena. Cellular Automata and
Complex Systems: Methods for Modeling Biological Phenomena
describes the use of cellular automata to provide important
insights into a vast range of physical, biological, social,
economic and psychological phenomena. This book presents
contemporary research on discrete dynamical systems such as
one-dimensional and two-dimensional cellular automata and outlines
how these systems can be exploited for artistic purposes,
translating their mathematical configurations into music and visual
media.
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