Dysregulation of T-helper (Th)1 (IFN-g, IL-2, TNF-a) and Th2 (IL-4, IL-5, IL-10) type cytokines has been suggested in the pathogenesis of graft versus host disease (GvHD). We analyzed intracellular cytokine expression in Th (CD4+) lymphocytes in 23 patients undergoing allo-hematopoietic stem cell transplantation (HSCT) both in the week of neutrophil engraftment (S1) and on the posttransplant 10...

Sweet basil is one of the most popular culinary, medicinal, and fragrance herbs in Mediterranean, Asian, Western countries. This study aims to increase growth performance sweet via different concentrations chitosan, which applied at three stages. The was arranged a factorial randomized complete block design with four replications. plants were divided into stages, vegetative stage (S1), reproduc...

An anticipatory system S2 is one which contains a model of a system S1 with which it interacts. This model is a predictive model; its present states provide information about future states of S1. Further, the present state of the model causes a change of state in other subsystems of S2; these subsystems are (a) involved in the interaction of S2 with S1, and (b) they do not affect (that is, are ...

Mesh is one of the most commonly used interconnection networks and, therefore, embedding between different meshes becomes a basic embedding problem. Not only does an efficient embedding between meshes allow one mesh-connected computing system to efficiently simulate another, but it also provides a useful tool for solving other embedding problems. In this paper, we study how to embed an s1 × t1 ...

In this paper the third order long-range dependence (LRD) is de…ned in terms of the bispectrum and third order cumulants (bicovariances). Two particular non-Gaussian processes with second order LRD are considered together with their bispectra and bicovariances. AMS 2000 Subject Classi…cations: Primary 62M10, 37M10; secondary 62M15, 91B70. Dedicated to Endre Csáki and Pál Révész on the occasion ...

where θ, θ′ ∈ Θ are the solutions returned by Ak(S1), Ak(S2), and S1, S2 are random samples, each of size m, drawn i.i.d from the underlying distribution D. The scaling by the square root of the sample size will allow us to analyze the non-trivial asymptotic behavior of these distance measures, which without scaling simply converge to zero in probability as m → ∞. For some ǫ > 0 and a set S ⊆ R...

1. Preliminaries In this section we list a few results from the literature that will be utilized in the proof of Theorem 1. Proposition 1 (Lemma 1 in (Ben-David et al., 2010)). Let d be the VC dimension of the hypothesis set H and S1, S2 be two i.i.d. samples of size n from D1 and D2 respectively. Then for any δ > 0 with probability at least 1− δ: disc(D1, D2)≤disc(S1, S2)+2 √ 2d log(2n) + log(...

where θ, θ′ ∈ Θ are the solutions returned by Ak(S1), Ak(S2), and S1, S2 are random samples, each of size m, drawn i.i.d from the underlying distribution D. The scaling by the square root of the sample size will allow us to analyze the non-trivial asymptotic behavior of these distance measures, which without scaling simply converge to zero in probability as m → ∞. For some ǫ > 0 and a set S ⊆ R...

CORRECTION Following publication of the original article [1], the authors pointed out that the figure shown as figure S1 is actually figure S2 and vice versa. Figure S1 should show the barcharts, and figure S2 should shows the heatmaps. Figures captions are in the correct order. 1) "...SILVA-only OTUs (37,066 97% OTUs and 1266 85% clusters) (Additional file 3: Figure S2 )..." - > ...SILVA-only ...

Given sequences S1, S2, . . . Sn, and a pattern string P the constrained multiple sequence alignment problem (CMSA) is to align similar subsequences of these sequences with the constraint that the alignment “contains” P . The CMSA problem can be considered as an optimal path search problem in the dynamic programming matrix. The problem has a dynamic programming solution that requires O(2|S1||S2...