The article carried out a multidimensional grouping of the regions Central and Volga Federal Districts Russian Federation according to indicators characterizing state development agricultural production. cluster analysis method was applied twice: when constructing system for combining into clusters. This approach made it possible enhance practical significance study, objectively analyze formula...

FPGA-centric clusters use FPGAs for both computation and communication and thereby address three fundamental problems of future High Performance Clusters: efficient use of silicon, power, and removing communication bottlenecks. In this study we report on the plausibility of using such clusters for Molecular Dynamics simulations, in particular by determining the communication requirements for su...

Clustering is a key data mining problem. Densitybased clustering algorithms have recently gained popularity in the data mining field. Density and grid based technique is a popular way to mine clusters in a large spatial datasets wherein clusters are regarded as dense regions than their surroundings. The attribute values and ranges of these attributes characterize the clusters In this paper we a...

ARTICLE INFO ABSTRACT Keywords: Au Cluster Oxidation Au cluster anions consisting of 2-13 atoms were soft-landed on native-oxide-covered Si wafers. Reaction of soft-landed clusters with an atomic oxygen atmosphere was studied using X-ray photoelectron spec-troscopy (XPS)_ Aus. AU7. and AU 13 turned out to show pronounced inertness for Au-oxide formation. When the samples with deposited Au clust...

Curriculum construction is the key factor in determining quality of education. The innovation and entrepreneurship course clusters have effectively upgraded courses terms talent cultivation, resource integration, educational practice. In response to existing problems difficulties agricultural forestry universities, suggestions measures are proposed from macro-, meso-, micro-level perspectives r...

One of the processes in valuation analysis using market approach is adjustment comparison object data. Adjustments are made to transactional and non-transactional factors. For factors including location, land area, shape, soil type, contour, elevation from road surface, accessibility, facilities. This study aims determine level importance factor on value residential, commercial, industrial, agr...

Principal component analysis and hierarchical cluster are the best tools to measure degree of divergence suggest parents for future crop improvement programmes. A study was done using 64 chickpea genotypes including desi kabuli types provided from RARS, Nandyal. Research conducted at Agricultural College Farm, Bapatla during Rabi 2021-22 in 8×8 square lattice design. Data collected 13 quantitat...