Reasons for the Premature Decline in \u3ci\u3eAstragalus adsurgens\u3c/i\u3e Stands in Kerqin Sandy Land

Diseases partly account for reductions in Astragalus adsurgens, stand longevity. The effect of some cultural practices on the control of pests and diseases have been reported (Hou, 1986; Nan, 1996), but few reports have detailed the relationship among soil fertiliser status, diseases and premature stand decline. This study was conducted to investigate these relationships in order to extend the longevity of Astragalus adsurgens stands

Reasons for the Premature Decline in \u3cem\u3eAstragalus Adsurgens\u3c/em\u3e Stands in Kerqin Sandy Land

Diseases partly account for reductions in Astragalus adsurgens stand longevity. The effect of some cultural practices on the control of pests and diseases have been reported (Hou, 1986; Nan, 1996), but few reports have detailed the relationship among soil fertiliser status, diseases and premature stand decline. This study was conducted to investigate these relationships in order to extend the longevity of Astragalus adsurgens stands

Catalogue Excerpt: Artist Statement of Wen Yi Hou

The excerpt concerning HOU Wenyi on the page has been marked out by red squares and arrow. (Jerry Wu\u2723).https://digital.kenyon.edu/zhoudocs/1104/thumbnail.jp

Function approximation via the subsampled Poincaré inequality

Function approximation and recovery via some sampled data have long been studied in a wide array of applied mathematics and statistics fields. Analytic tools, such as the Poincaré inequality, have been handy for estimating the approximation errors in different scales. The purpose of this paper is to study a generalized Poincaré inequality, where the measurement function is of subsampled type, with a small but non-zero lengthscale that will be made precise. Our analysis identifies this inequality as a basic tool for function recovery problems. We discuss and demonstrate the optimality of the inequality concerning the subsampled lengthscale, connecting it to existing results in the literature. In application to function approximation problems, the approximation accuracy using different basis functions and under different regularity assumptions is established by using the subsampled Poincaré inequality. We observe that the error bound blows up as the subsampled lengthscale approaches zero, due to the fact that the underlying function is not regular enough to have well-defined pointwise values. A weighted version of the Poincaré inequality is proposed to address this problem; its optimality is also discussed

Die betekenis van Totius vir ons tyd*

Dit is nie my voorneme om hier ’n soort huldigende lofrede oor die mens Totius te hou nie. Die Totius-beeld het dit nie nodig nie en hyself het, waar dit sy persoon raak, nie van die woord huldi- ging gehou nie. By geleentheid het ek hom hoor sê: „Dis vir my ’n kwaai woord, die woord ‘huldiging

A Quasi-Exactly Solvable N-Body Problem with the sl(N+1) Algebraic Structure

Starting from a one-particle quasi-exactly solvable system, which is characterized by an intrinsic sl(2) algebraic structure and the energy-reflection symmetry, we construct a daughter N-body Hamiltonian presenting a deformation of the Calogero model. The features of this Hamiltonian are (i) it reduces to a quadratic combination of the generators of sl(N+1); (ii) the interaction potential contains two-body terms and interaction with the force center at the origin; (iii) for quantized values of a certain cohomology parameter n it is quasi-exactly solvable, the multiplicity of states in the algebraic sector is (N+n)!/(N!n!); (iv) the energy-reflection symmetry of the parent system is preserved.Comment: Latex, 12 page

The Massive Remote Sensing Data Organization and Management Strategies

With the continuous development of earth observing technology of China, Remote sensing image data has characteristics of large volume, multisource, multi-type and multi-resolution, finding a way to store, manage, and publish the data is a big challenges. This paper proposes a massive Remote sensing tile data organization and management strategy based on spatial database, design a data distribution and node management strategy to solve the massive remote sensing data organization and management problem