Word Nerd: More than 17,000 Fascinating Facts about Words by Barbara Ann Kipfer

By Barbara Ann Kipfer

Are You a observe Nerd?

Did you know...
--Only a human (not an animal or factor) is "able" to do anything
--The 5 on cube is termed cinque
--"K" for strike-out in baseball comes from the final letter of "struck"
--To skice is to frisk approximately like squirrels in spring

For note fans far and wide, observe Nerd is a rich-and fun-compendium of greater than 17,000 attention-grabbing evidence approximately phrases. Bestselling writer Barbara Anne Kipfer has spent years compiling little identified tidbits approximately common-and now not so common-words within the English language.

Filled with attention-grabbing information regarding phrases, absolute to amaze and spark dialog, this marvelous assortment is ideal for the note nerd in each one people.

Show description

Read or Download Word Nerd: More than 17,000 Fascinating Facts about Words PDF

Best reference books

Polypropylene - An A-Z Reference

This multiauthor publication experiences the current nation of information on the producing, processing and purposes of neat, converted, stuffed and strengthened polypropylenes. a world workforce of major specialists surveys all vital medical and technical facets of polypropylene (PP) in a concise demeanour.

Endothelial Mechanisms of Vasomotor Control: With special Reference to the Coronary Circulation

Lately, we have now witnessed a speedy enlargement of our wisdom in regards to the position of the endothelium within the keep an eye on of vascular tone (and organ perfusion) in wellbeing and fitness and ailment. body structure, pharmacology, and molecular biology have exposed a wealth of data on constitution and serve as of this heretofore principally overlooked "organ".

Industrial chemical thesaurus

Comprises alternate identify chemical substances associated with chemical substances with touch info for brands that produce those chemical substances lower than their alternate identify or typical names. summary: includes alternate identify chemical substances associated with chemical compounds with touch info for brands that produce those chemical substances below their exchange identify or known names

Time-Series Prediction and Applications. A Machine Intelligence Approach

This booklet provides computing device studying and type-2 fuzzy units for the prediction of time-series with a specific specialize in enterprise forecasting purposes. It additionally proposes new uncertainty administration thoughts in an fiscal time-series utilizing type-2 fuzzy units for prediction of the time-series at a given time element from its previous worth in fluctuating company environments.

Additional resources for Word Nerd: More than 17,000 Fascinating Facts about Words

Example text

After the rearrangement of the components of each vector ~ L1s , it is transformed into the vector t 1 1 1 1 ~ Ls ðrÞ ¼ ½L1s ðrÞ; L2s ðrÞ; . ; LNs ðrފ . The decision to continue with the next (second) HAPCA is based on the analysis of the covariance matrix ½K1L ðrފ of the rearranged vectors ~ L1s ðrÞ for s = 1, 2, …, S, from which could be calculated the achieved decorrelation in the first level. In case that full decorrelation is achieved, the matrix ½K1L ðrފ is diagonal. The HAPCA algorithm could be stopped before the second level even if the decorrelation is not full, provided that the relation below is satisfied: ( N X N X i¼1 j¼1 , ½ki;j ðrފ2jði6¼jÞ N X N X ) ½ki;j ðrފ2jði¼jÞ d: ð1:60Þ i¼1 j¼1 Here ki;j ðrÞ is the element (i, j) of the matrix ½KL1 ðrފ, and δ is a threshold with preliminary set small value.

39). As a result, it is decomposed into two components: 1 New Approaches for Hierarchical Image Decomposition … 21 Fig. 5 Flowgraph of the HSVD algorithm represented through the vector-radix (2 × 2) for a matrix of size 4 × 4 ½Xk ð2ފ ¼ r1;k ½T1;k ð2ފ þ r2;k ½T2;k ð2ފ ¼ ½C1;k ð2ފ þ ½C2;k ð2ފ for k ¼ 1; 2; 3; 4; where r1;k ¼ qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi x1;k þ A1;k ; 2 r2;k ¼ ð1:41Þ qffiffiffiffiffiffiffiffiffiffiffiffiffiffi x2;k ÀA2;k t t ~1;k ~ ~2;k ~ V1;k V2;k ; ½T2;k ð2ފ ¼ U : ; ½T1;k ð2ފ ¼ U 2 22 R. Kountchev and R. Kountcheva Using the matrices ½Cm;k ð2ފ of size 2 × 2 for k = 1, 2, 3, 4 and m = 1, 2, are composed the matrices ½Cm ð4ފ of size 4 × 4:   ½Cm;1 ð2ފ ½Cm;2 ð2ފ ½Cm ð4ފ ¼ ½C ð2ފ ½Cm;4 ð2ފ   3 2  m;3 c11 ðm; 2Þ c12 ðm; 2Þ c11 ðm; 1Þ c12 ðm; 1Þ 7 6 c13 ðm; 1Þ c14 ðm; 1Þ    c13 ðm; 2Þ c14 ðm; 2Þ  7 for m ¼ 1; 2: ¼ 6 4 c11 ðm; 3Þ c12 ðm; 3Þ c11 ðm; 4Þ c12 ðm; 4Þ 5 c13 ðm; 3Þ c14 ðm; 3Þ c13 ðm; 4Þ c14 ðm; 4Þ ð1:42Þ Hence, the SVD decomposition of the matrix [X] in the first level is represented by two components:  ½Xð4ފ¼ ½C1 ð4ފ þ ½C2 ð4ފ ¼ ð½C1;1 ð2ފ þ ½C2;1 ð2ÞŠÞ ð½C1;3 ð2ފ þ ½C2;3 ð2ÞŠÞ  ð½C1;2 ð2ފ þ ½C2;2 ð2ÞŠÞ : ð½C1;4 ð2ފ þ ½C2;4 ð2ÞŠÞ ð1:43Þ In the second level (r = 2) of the HSVD, on each matrix ½Cm ð4ފ of size 4 × 4 is applied four times the SVD2×2.

They both use iterative learning algorithms, for which the number of needed operations can reach several hundreds. The third approach is based on the Sequential KLT/SVD [29], already commented in the preceding section. In [28, 29] is presented one more approach, based on the recursive calculation of the covariance matrix of the vectors, its eigen values and eigen vectors. In the papers [57, 58] is introduced hierarchical recursive block processing of matrices. The next approach is based on the so-called Distributed KLT [59, 60], where each vector is divided into sub-vectors and on each is applied Partial KLT.

Download PDF sample

Rated 5.00 of 5 – based on 15 votes