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Ammonium sulfate, crystalline Phenol red indicator solution Pepsin stock solution (See Section 334) Elastase stock solution (See Section 335) Materials for 75% SDS-PAGE Coomassie brilliant blue R-250 stain (CB) 10% acetic acid, 10% methanol solution or Bio-Rad destaining solution (overnight) or 10% acetic acid, 40% methanol solution (1 h) for destaining gel Liquid nitrogen Mortar and pestle or glass homogenizer Centrifuge tubes, 5 ml, high g Shaker Electrophoresis gel imager and software Protocol A Collagen Extraction from Native and ARC Cartilage (a) All of the procedures described here should be performed at 4 C unless otherwise speci cally indicated (b) The native cartilage should be pulverized after freezing in liquid nitrogen The ARC tissue can be minced and homogenized in a glass homogenizer (c) Add 10 volumes collagen extraction buffer and extract overnight This helps to enhance the pepsin digestion by removing the PG.

(d) Centrifuge at 10,600 g for 10 min at 4 C Remove the supernatant and save the pellet (e) Wash the pellet with 3 ml 005 M acetic acid by spinning and removing the supernate as described above (f) To the pellet, add 10 volumes 005 M acetic acid, and then adjust the pH to 28 30 with 005 M acetic acid (g) Add 1/10 volume pepsin stock solution (h) Digest overnight at 4 C on a rocker/shaker (i) After overnight digestion, add 1/10 volume high-salt Tris buffer (j) Adjust pH to 80 with 1 N NaOH Adding a drop of phenol red helps to determine the approximate pH (k) Add 1/10 volume pancreatic elastase (l) Digest for 30 min at 35 C (m) Centrifuge at 10,600 g for 10 min at 4 C (n) Collect the supernate.

(5.6)

(o) Save the pellet for further extraction if needed (p) Add crystalline NaCl to 3 M and crystalline ammonium sulfate to 30% and incubate for 30 min at 4 C (q) Centrifuge at 10,600 g for 10 min at 4 C and remove the supernate The pellet contains the precipitated collagen (r) Resuspend the pellet in a low-salt buffer, such as 1 PBS or 1 TBS..

1 1 1 = p log2 + (1 p) log2 = P(y j /xi ) p (1 p)

mation to 30 35 other hotels in the greater Boston area. This is especially helpful when a person goes from hotel to hotel causing problems. For example, several years ago in Boston, a man went to several hotels and set off re alarms (he actually set a re at one hotel); when the unsuspecting and panicked guests ran from their rooms, he would enter and steal the guests possessions. The network was helpful in tracking his actions. However, nine of ten times when he receives a request for information about a speci c person, Mr. Juliano will have no information to supply.

In this chapter, I discussed some built-in tools that may eliminate the need to create a custom UserForm.

Because I didn t declare a data type for any of the arguments in the preceding examples, all the arguments have been of the Variant data type. But a procedure that uses arguments can define the data types directly in the argument list. The following is a Sub statement for a procedure with two arguments of different data types. The first is declared as an integer, and the second is declared as a string.

explored in detail in the book by Csisz r and K rner [149]. We will a o de ne strong typicality (as in 11) and state a fundamental lemma (Lemma 10.6.2). De nition A sequence x n X n is said to be -strongly typical with respect to a distribution p(x) on X if: 1. For all a X with p(a) > 0, we have 1 N (a|x n ) p(a) < . n |X| 2. For all a X with p(a) = 0, N (a|x n ) = 0. N (a|x n ) is the number of occurrences of the symbol a in the sequence x . The set of sequences x n X n such that x n is strongly typical is called the strongly typical set and is denoted A (n) (X) or A (n) when the random variable is understood from the context.

where (2minBE 1)tslot is for the backoff before an RTS. Even with the very low arrival rate, if the wakeup interval becomes very large, the collision probability

1 ln(2)

(DSHEA) does not require manufacturers to provide data on the safety, purity, and ef cacy of their products (Wagner, Wagner, & Hening, 1998) Moreover, the Food and Drug Administration (FDA) does not regulate their use or standardize their purity or content (Lantz, Buchalter, & Giambanco, 1999) Therefore, individuals are able to self-prescribe herbs without the guidance of a physician, which may lead to adverse side effects and drug interactions For instance, Lantz et al (1999) discussed several case studies of elderly patients who developed serotonin syndrome (eg, central and peripheral serotonergic hyperstimulation) from taking SJW in conjunction with their prescribed antidepressant It is important that clinicians appreciate the strength of these herbs and ask their patients about herbal use and educate them on the dangers of herbal and drug interactions Lantz et al.