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Carol Edith Cleland (born 1948) [1] is an American philosopher of science known for her work on the definition of life [2] and the shadow biosphere, [3] on the classification of minerals by their geological history, [4] on the distinction between historical and experimental approaches to science, [5] and on the Church–Turing thesis on theoretical limits to physical computation. [6]
The definition of life has long been a challenge for scientists and philosophers. [ 2 ] [ 3 ] [ 4 ] This is partially because life is a process, not a substance. [ 5 ] [ 6 ] [ 7 ] This is complicated by a lack of knowledge of the characteristics of living entities, if any, that may have developed outside Earth.
Life arose from the Earth's first ocean, which formed some 3.8 billion years ago. [33] Since then, water continues to be the most abundant molecule in every organism. Water is important to life because it is an effective solvent, capable of dissolving solutes such as sodium and chloride ions or other small molecules to form an aqueous solution.
The first life arose from abiotic chemical reactions. When this happened, how it happened, and even what planet it happened on are uncertain. However, life follows the rules of and arose from lifeless chemistry and physics. It is constrained by principles such as thermodynamics. This is an important concept in the field because it represents ...
However, the Term-I examination was criticised by many for having wrong answer keys, tough question papers and wrong or controversial questions, with a question being dropped in Sociology exam of class 12 and a paragraph in the English Language and Literature exam for class 10 by CBSE following which CBSE dropped the experts who set the ...
[8] Negative words such as bad [9] and sick sometimes acquire ironic senses by antiphrasis [10] referring to traits that are impressive and admired, if not necessarily positive (that outfit is bad as hell; lyrics full of sick burns). Some contronyms result from differences in varieties of English.
Roget's Thesaurus is composed of six primary classes. [5] Each class is composed of multiple divisions and then sections. This may be conceptualized as a tree containing over a thousand branches for individual "meaning clusters" or semantically linked words.
In information theory and statistics, negentropy is used as a measure of distance to normality. [4] [5] [6] Out of all distributions with a given mean and variance, the normal or Gaussian distribution is the one with the highest entropy.