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K, Marchuk, LL, Hart, DA, Frank, CB (1998) Comparison of mRNA levels for matrix molecules in normal and disrupted human anterior cruciate ligaments using reverse transcription-polymerase chain reaction J Orthop Res 16: 421 428 MacKenna, D, Summerour, SR, Villarreal, FJ (2000) Role of mechanical factors in modulating cardiac broblast function and extracellular matrix synthesis Cardiovasc Res 46: 257 263 Massia, SP, and Hubbell, JA (1990) Covalent surface immobilization of Arg-Gly-Asp- and Tyr-Ile-Gly-Ser-Arg-containing peptides to obtain well-de ned cell-adhesive substrates Anal Biochem 187: 292 301 Minoura, N, Tsukada, M, Nagura, M (1990) Physico-chemical properties of silk broin membrane as a biomaterial Biomaterials 11: 430 434 Neff, JA, Tresco, PA, Caldwell, KD (1999) Surface modi cation for controlled studies of cell-ligand interactions Biomaterials 20: 2377 2393 Ruoslahti, E.

(1997) Stretching is good for a cell Science 276: 1345 1346 Santin, M, Motta, A, Freddi, G, Cannas, M (1999) In vitro evaluation of the in ammatory potential of the silk broin J Biomed Mater Res 46: 382 389 So a, S, McCarthy, MB, Gronowicz, G, Kaplan, DL (2001) Functionalized silk-based biomaterials for bone formation J Biomed Mater Res 54: 139 148 Sottile, J, Hocking, DC, Swiatek, PJ (1998) Fibronectin matrix assembly enhances adhesiondependent cell growth J Cell Sci 111 (19): 2933 2943 Weitzel, PP, Richmond, JC, Altman, GH, Calabro, T, Kaplan, DL (2002) Future direction of the treatment of ACL ruptures Orthop Clin North Am 33: 653 661..

LLC PDU control eld formats (Ref. 2).

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As you become proficient with VBA, you ll be spending lots of time working in code windows. Each object in a project has an associated code window. To summarize, these objects can be The workbook itself (ThisWorkbook in the Project window) A worksheet or chart sheet in a workbook (for example, Sheet1 or Chart1 in the Project window) A VBA module A class module (a special type of module that lets you create new object classes) A UserForm

Illustrated TCP/IP by Matthew G. Naugle Wiley Computer Publishing, John Wiley & Sons, Inc. ISBN: 0471196568 Pub Date: 11/01/98

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Basically any device for which a Linux driver exists that fully implements the video4linux specification will do this trick. A few other devices also qualify, such as DVB cards, FireWire ports pulling from suitable cable boxes, some USB-connected external tuner devices, and an Ethernet-connected set-top box or two. Actually, answering what capture cards aren t supported is much easier.

It means that a transmitter waits for only tTR 2tslot tWA after transmitting a WR. Even though we do not analyze the effect, if a receiver replies the WA a little late, the transmitter may nd the channel busy. In this case, the CSMA/CA mechanism at the MAC layer will retry after selecting a backoff counter value among 0 to 22 1. The active duration of GS can be similarly reduced by minimizing the initial backoff counter, but doing so may cause SYNC collision as discussed above. However, if the wakeup interval is long and the number of devices within one hop range is small, the probability of SYNC collision is very low. If we select a backoff counter between 0 and 1, then the minimum active duration (18.26) is changed as tminS 2minBE 1 tslot 3tslot tSYN tRTS 18:33

(g) Suppose that we omit cholesterol from the model and rerun the regression. Explain what will happen to the value of R 2 . (h) Which predictor is negatively associated with the response Explain how you know this. (i) Discuss the presence of multicollinearity. Evaluate the strength of evidence for the presence of multicollinearity. Based on this, should we turn to principal components analysis (j) Clearly and completely express the interpretation for the coef cient for sodium. (k) Suppose that a certain food was predicted to have 60 calories fewer than it actually has, based on its content of the predictor variables. Would this be considered unusual Explain speci cally how you would determine this. 3.18. To follow up, next consider the multiple regression output for model 1 from SPSS in Table E3.18. Three predictor variables have been added: saturated fat, monounsaturated fat, and polyunsaturated fat. Discuss the presence of multicollinearity. Evaluate the strength of evidence for the presence of multicollinearity. Based on this, should we turn to principal components analysis

In his seminal 1949 paper [1], Shannon stated theoretical bounds on the performance of error-correction coding Since that time, many practical error-correction schemes have been proposed, but none has achieved performances close to the ideal until the turbo coding scheme, described in 7, was discovered in 1993 by Berrou, Glavieux and Thitimajshima [3] Following this stimulating discovery, 3 years later in 1996 MacKay and Neal [4, 5] rediscovered a class of codes rst introduced by Gallager in 1962 [6], which are now recognized also to have near-ideal performance These Gallager codes are the subject of this chapter Gallager codes, now widely known as low-density parity check (LDPC) codes, are linear block codes that are constructed by designing a sparse parity check matrix H, that is, for the binary case, a matrix that contains relatively few 1 s spread among many 0 s.

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