Results (1)Levels of type Ⅰ collagen were 84 43%±10 35% and type Ⅲ collagen were 15 56%±10 53% in myocardial specimen,the ratio of type Ⅰ collagen and type Ⅲ collagen was equal to 6 25±5 09.(2)There was myocardial fibrosis by pathology section.
Methods Each of 5 specimens of 0.5 mm, 1.0 mm and 1.5 mm Vita Mark II A3C/18 and A2C/18 were prepared and the color change was measured after the substrate simulating stained teeth was covered with the specimen.
Bone marrow cells of the bilateral femur were obtained,with the inoculated density of 1.5×106/cm2,implanted into 6 wells and 24 wells cultured plate,randomized into groups,a well as a specimen and 24 specimens in each group.
For six designs,the powers of design met hods in descending:4×4 cross-over disign,2×4 cross-over disign,2×3 cross-o ver design,2×2 cross-over design,parallel design and Balaam's design,while the requirement of the number of total sample size is in contrast order.
We present a method for finding the dual frame and, thereby, a method for reconstructing the signal from its samples.
In particular, the results in this article show that the oscillations of a function at large scale are comparable to the oscillations of its samples on an appropriate discrete set of points.
Under the appropriate definition of sampling density D?, a function f that belongs to a shift invariant space can be reconstructed in a stable way from its non-uniform samples only if D?≥1.
If the shift invariant space consists of polynomial splines, then we show that D?>amp;lt;1 is sufficient for the stable reconstruction of a function f from its samples, a result similar to Beurling's special case B1/2.
However, unlike the values of f(n)(t0), the values of the chromatic derivatives Kn[f](t0) can be obtained in a noise robust way from sufficiently dense samples of f(t).
The setup has the following basic parameters: time resolution is 10 μs, spatial resolution is 50 μm, sample size is up to 32 × 103, and particle counting error is within 1%.
For EPMA of small fractions 1-5 μm in size, an approach was proposed that takes into account the test sample size using an analytical expression.
The effect of fine grinding of gold-bearing geochemical samples on the representative sample size and the recovery of gold and silver in fire-assay fusion was studied experimentally.
By using these assumptions we can construct estimates of the probability density function itself and its derivatives which are distinguished by the high rate of decrease of the error in the estimate as the sample size increases.
We propose an adaptive algorithm with a Kalman filter structure, which guarantees the same asymptotics (well known from statistical inference) with respect to the sample size n, n → ∞.