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TR's letters to his son Quentin are especially touching, since later on Quentin took a German gunner's bullet through the head over France, driving TR into inconsolate murmerings lamenting the loss of his "Quentee-Quee." The development of these nicknames is chronicled in these letters.
For whatever reason TR wrote them, they read very movingly. TR's own namesake, Ted Jr., tried to pull off the same thing with his kids, documented in another out-of-print book written by Ted Jr (before his early heart attack during WWII) called "All in the Family." Wherein little Ted's mistake is to too slavishly imitate big TR's way of organizing walks, going camping, and dashing off notes. So there is something inimitable here, which should also caution the modern reader from hankering too quickly to start writing letters-a-plenty. But the picture drawing might be OK. What kid wouldn't like a few more scribbled pictures from their dad?
So at least look at the pictures here. Unlike Ronald Reagan's, these were done to and for TR's own kids. Not to dump on Ron, but to perhaps establish a reference point among competing versions of family dysfunction.
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In the book, "There's a Skunk in My Bunk: Helping Children Learn Tolerance," by Joseph T. McCann, Psy.D., a boy meets a skunk in his bedroom. The boy, who has heard all sorts of bad things about skunks, is not too pleased to have this visitor in his home. The skunk defends himself and introduces him to some of his friends whom the boy also has a negative opinion of. In the end, the boy learns not to judge a book by it's cover.
MyParenTime recommends this book -- the lesson that is taught is a very important part of a child's life.<
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A general overview of sequence comparison is given in chapter 1 with applications to molecular biology, human speech, computer science, coding theory, gas chromotography, and bird songs discussed. The author discusses how deletion-insertion, compression-expansion, and substitution are employed in sequence comparison. Different metrics are introduced, such as the Levenshtein distance. Dynamic programming, which pretty much dominates the book, is introduced here also.
Part 1 of the book discusses sequence comparison in molecular biology. The use of dynamic programming is emphasized and its importance continues to this day. The advantages of using the dynamic programming method are outlined, and it is shown how to find the substring in a longer sequence with most optimum agreement to a shorter sequence. In addition, given an RNA molecule with a known nucleotide sequence, methods are discussed for predicting the way different parts of the molecule will bond to each other. These methods are based on dynamic programming. Mathematicians considering doing research on or about entering the field will profit from the section on the biological background. The treatment of RNA secondary structures is excellent.
In part 2, the emphasis is on speech processing and what is called "time-warping", which is a technique for comparing functions by altering the time axis. An interesting application is given to the comparison of bird songs. An algorithm is given for adjusting the time scales for two songs to arrange them in the most optimal alignment. In addition, the differences between compression and expansion and deletion and insertion are discussed in this part.
In part 3, a modified Smith-Waterman algorithm is employed to find similar portions in two sequences. Called local alignment in computational biology, it is shown in detail how to define the recurrences for the alignment and how to keep track of the pointers for backtracking. This part also generalizes the operations of substitution and Levenshtein distance. In addition, the strategy of doing sequence comparison by allowing transpositions is discussed. Such a strategy entails a generalized concept of trace, wherein trace lines can intersect each other, leading to entangling of the traces into knots or plaids. The usual dynamic programming techniques must then be extended to deal with these complications. One particular algorithm for this is discussed, called CELLAR, which involves the construction of a directed graph whose paths correspond to admissible sequences of generalizations of traces, called cuts. The computational complexity of this algorithm is discussed. In addition, an O(n^2/logn) algorithm is given for computing string-edit distances.
The last part of the book deals with studying comparisons between random sequences. Combinatorial arguments are used to derive upper bounds on the expected length of the longest common subsequences of two random sequences. Other miscellaneous results dealing with comparing common subsequences of two random sequences are given.
It's full of information on the life and times of one of our all time greatest song stylists.
Although this isn't directly addressed in the book, Frankie Laine's career (72 years and counting) is itself an overview of 20th century American music. From his childhood inspiration by Al Jolson (music's first superstar), through his introduction to the Jazz world of the 1930s & 40s, his own years of superstardom in the late 40s/early 50s, to his forthcoming album OLD MAN JAZZ (appropriately title, as he's now 89 years old), Frankie Laine has been an integral part of it all.
As the first "Blue-eyed Soul singer," he played a seminal role in the switch-over from Big Band to the Golden Age of vocalists, and ultimately (if inadvertently) helped paved the way for the Rock era. Always experimenting, his records range from jazz, blues, folk, pop, cowboy songs, country and even some rock and roll.
(That and the fact that he's the best damn singer that ever was.)
Laine's book is written in an easygoing, entertaining style, and if it has one fault, it's that at 228 pages it only whets one's appetite for more.