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Science General

Science General
Systematic endeavour to gain knowledge Science is a systematic discipline that builds and organises knowledge in the form of testable hypotheses and predictions about the universe.[1][2] Modern science is typically divided into two or three major branches:[3] the natural sciences (e.g., physics, chemistry, and biology), which study the physical world; and the behavioural sciences (e.g., economics, psychology, and sociology), which study individuals and societies.[4][5] The formal sciences (e.g., logic, mathematics, and theoretical computer science), which study formal systems governed by axioms and rules,[6][7] are sometimes described as being sciences as well; however, they are often regarded as a separate field because they rely on deductive reasoning instead of the scientific method or empirical evidence as their main methodology.[8][9] Applied sciences are disciplines that use scientific knowledge for practical purposes, such as engineering and medicine.[10][11][12] Etymology History

Neuroscience Neuroscience is the scientific study of the nervous system.[1] Traditionally, neuroscience has been seen as a branch of biology. However, it is currently an interdisciplinary science that collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. It also exerts influence on other fields, such as neuroeducation[2] and neurolaw. The term neurobiology is usually used interchangeably with the term neuroscience, although the former refers specifically to the biology of the nervous system, whereas the latter refers to the entire science of the nervous system. Because of the increasing number of scientists who study the nervous system, several prominent neuroscience organizations have been formed to provide a forum to all neuroscientists and educators. History[edit] The study of the nervous system dates back to ancient Egypt. Modern neuroscience[edit] Human nervous system

Global Warming Frequently Asked Questions IntroductionGreen House EffectGreen House GasesGlobal TemperaturesEl NiñoOcean Heat ContentSea Level RiseHydrological CycleCryosphereClimate Variability and ExtremesHistorical ContextNatural VariabilityU.S. ClimateFuture Climate ProjectionsAdditional Resources Introduction This page is based on a brief synopsis of the 2007 Fourth Assessment Report (AR4) by the Intergovernmental Panel on Climate Change (IPCC), as well as NCDC's own data resources. One of the most vigorously debated topics on Earth is the issue of climate change, and the National Environmental Satellite, Data, and Information Service (NESDIS) data centers are central to answering some of the most pressing global change questions that remain unresolved. Listed below is information based upon common questions addressed to climate scientists (based on IPCC reports and other research) in common, understandable language. The Greenhouse Effect Increase of Greenhouse Gases Global Temperatures El Niño and Global Warming The Cryosphere

Machine learning Machine learning is a subfield of computer science[1] that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] Machine learning explores the construction and study of algorithms that can learn from and make predictions on data.[2] Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions,[3]:2 rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. It has strong ties to mathematical optimization, which deliver methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit, rule-based algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR),[4] search engines and computer vision.

Natural Sciences Managers - bls.gov Natural sciences managers typically begin their careers as scientists. Natural sciences managers usually advance to management positions after years of employment as scientists. Natural sciences managers typically have a bachelor’s degree, master’s degree, or Ph.D. in a scientific discipline or a related field, such as engineering. Some managers may find it helpful to have an advanced management degree—for example, a Professional Science Master’s (PSM) degree. Education Natural sciences managers typically begin their careers as scientists; therefore, most have a bachelor’s degree, master’s degree, or Ph.D. in a scientific discipline or a closely related field, such as engineering. Natural sciences managers who are interested in acquiring postsecondary education in management should be able to find master’s degree or Ph.D. programs in a natural science that incorporate business management courses. Work Experience in a Related Occupation Licenses, Certifications, and Registrations

Physics Various examples of physical phenomena Physics is one of the oldest academic disciplines, perhaps the oldest through its inclusion of astronomy.[8] Over the last two millennia, physics was a part of natural philosophy along with chemistry, certain branches of mathematics, and biology, but during the Scientific Revolution in the 17th century, the natural sciences emerged as unique research programs in their own right.[b] Physics intersects with many interdisciplinary areas of research, such as biophysics and quantum chemistry, and the boundaries of physics are not rigidly defined. Physics also makes significant contributions through advances in new technologies that arise from theoretical breakthroughs. History Ancient astronomy Astronomy is the oldest of the natural sciences. Natural philosophy Classical physics Physics became a separate science when early modern Europeans used experimental and quantitative methods to discover what are now considered to be the laws of physics.[15] Philosophy

Carbon cycle This diagram of the fast carbon cycle shows the movement of carbon between land, atmosphere, and oceans in billions of tons of carbon per year. Yellow numbers are natural fluxes, red are human contributions in billions of tons of carbon per year. White numbers indicate stored carbon. The carbon cycle is the biogeochemical cycle by which carbon is exchanged among the biosphere, pedosphere, geosphere, hydrosphere, and atmosphere of the Earth. The global carbon budget is the balance of the exchanges (incomes and losses) of carbon between the carbon reservoirs or between one specific loop (e.g., atmosphere ↔ biosphere) of the carbon cycle. The carbon cycle was initially discovered by Joseph Priestley and Antoine Lavoisier, and popularized by Humphry Davy.[1] Relevance for the global climate[edit] Carbon-based molecules are crucial for life on earth, because it is the main component of biological compounds. Main components[edit] Atmosphere[edit] Terrestrial biosphere[edit] Oceans[edit]

Philosophy Philosophy is the study of general and fundamental problems, such as those connected with reality, existence, knowledge, values, reason, mind, and language.[1][2] Philosophy is distinguished from other ways of addressing such problems by its critical, generally systematic approach and its reliance on rational argument.[3] In more casual speech, by extension, "philosophy" can refer to "the most basic beliefs, concepts, and attitudes of an individual or group".[4] The word "philosophy" comes from the Ancient Greek φιλοσοφία (philosophia), which literally means "love of wisdom".[5][6][7] The introduction of the terms "philosopher" and "philosophy" has been ascribed to the Greek thinker Pythagoras.[8] Areas of inquiry Philosophy is divided into many sub-fields. Epistemology Epistemology is concerned with the nature and scope of knowledge,[11] such as the relationships between truth, belief, and theories of justification. Rationalism is the emphasis on reasoning as a source of knowledge. Logic

Home | Museum of Science, Boston Biology History The objects of our research will be the different forms and manifestations of life, the conditions and laws under which these phenomena occur, and the causes through which they have been effected. The science that concerns itself with these objects we will indicate by the name biology [Biologie] or the doctrine of life [Lebenslehre]. Although modern biology is a relatively recent development, sciences related to and included within it have been studied since ancient times. Natural philosophy was studied as early as the ancient civilizations of Mesopotamia, Egypt, the Indian subcontinent, and China. However, the origins of modern biology and its approach to the study of nature are most often traced back to ancient Greece.[6] While the formal study of medicine dates back to Hippocrates (ca. 460 BC – ca. 370 BC), it was Aristotle (384 BC – 322 BC) who contributed most extensively to the development of biology. Foundations of modern biology Cell theory Main article: Cell theory Genetics

History of climate change science The history of the scientific discovery of climate change began in the early 19th century when ice ages and other natural changes in paleoclimate were first suspected and the natural greenhouse effect first identified. In the late 19th century, scientists first argued that human emissions of greenhouse gases could change the climate. Many other theories of climate change were advanced, involving forces from volcanism to solar variation. Regional changes, antiquity through 19th century[edit] From ancient times, people suspected that the climate of a region could change over the course of centuries. The most striking change came in the 18th and 19th centuries, obvious within a single lifetime: the conversion of Eastern North America from forest to croplands. Meanwhile, national weather agencies had begun to compile masses of reliable observations of temperature, rainfall, and the like. Paleoclimate change and theories of its causes, 19th century[edit]

Computer science Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations History[edit] The earliest foundations of what would become computer science predate the invention of the modern digital computer. Machines for calculating fixed numerical tasks such as the abacus have existed since antiquity, aiding in computations such as multiplication and division. Further, algorithms for performing computations have existed since antiquity, even before sophisticated computing equipment were created. The ancient Sanskrit treatise Shulba Sutras, or "Rules of the Chord", is a book of algorithms written in 800 BCE for constructing geometric objects like altars using a peg and chord, an early precursor of the modern field of computational geometry. Time has seen significant improvements in the usability and effectiveness of computing technology. Contributions[edit] These contributions include:

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