understanding the variation of kernel number per unit area (kno) is an important factor in respect yield and in identifying opportunities to increase potential yield. some crop models are for dependence on kernel number prediction to yield simulation. in order to quantify the relationship between kernel number per unit area and influencing parameters (environment and non-environment-based facto...

In the spring of 1916, Prof. H.D. Hughes, of the Iowa Experiment Station, asked a number of experienced corn judges to score some five hundred ears of corn on the basis of what they thought the relative yields would be. These five hundred ears of corn were field run, varying from only three or four inches in length to more than ten inches. The variety was the college strain of Reid. In addition...

In this study, pulp and kernel of fruits from six Arecaceae species were subjected to proximate analysis, fatty acid composition and total carotenoid content analysis. The species with the highest carbohydrate, lipid and protein values were Ptychosperma macarthurii(70.1 g/100 g in the kernel), Syagrus cearensis(40.6 g/100 g in the kernel), andS. coronata(20.6 g/100 g in the pulp). The ash conte...

The k-nearest neighbors (knn) is a simple but effective method of classification. In this paper we present an extended version of this technique for chemical compounds used in High Throughput Screening, where the distances of the nearest neighbors can be taken into account. Our algorithm uses kernel weight functions as guidance for the process of defining activity in screening data. Proposed ke...

The probability that a transient Markov chain, or a Brownian path, will ever visit a given set Λ, is classically estimated using the capacity of Λ with respect to the Green kernel G(x, y). We show that replacing the Green kernel by the Martin kernel G(x, y)/G(0, y) yields improved estimates, which are exact up to a factor of 2. These estimates are applied to random walks on lattices, and also t...

where p and k are relative four-momenta of the constituent pair in final and intermediate states, and the free two-particle propagator G0(k, P ) = g(k + P/2,m1)g(k − P/2,m2) is a product of renormalized one body propagators g. The kernel V is a sum of all Bethe-Salpeter irreducible diagrams . For solution, the BSE is usually analytically continued (with the help of the Wick rotation) into the E...

In this paper we study the asymptotic behavior of the viscoelastic system with non dissipative kernels. We show that the uniform decay of the energy depends on the decay of the kernel, the positivity of the kernel in t = 0 and some smallness condition. That is, if the kernel g ∈ C(R) with g(0) > 0, decays exponentially to zero then the solution decays exponentially to zero. On the other hand, i...

Given a graph G = (V,E), an even kernel is a nonempty independent subset V ′ ⊆ V , such that every vertex of G is adjacent to an even number (possibly 0) of vertices in V ′. It is proved that the question of whether a graph has an even kernel is NP-complete. The motivation stems from combinatorial game theory. It is known that this question is polynomial if G is bipartite. We also prove that th...

The paper gives an overview of our previous results concerning heat kernel measures in infinite dimensions. We give a history of the subject first, and then describe the construction of heat kernel measure for a class of infinite-dimensional groups. The main tool we use is the theory of stochastic differential equations in infinite dimensions. We provide examples of groups to which our results ...