The paper present research want to show which is the influence of distance between the rows at sowing above the productivity elements as: average number of ramification per plant, average number of pots per plant, average number of beans per plant, average weight of beans per plant and TWK, as the influence of the distance between the rows at sowing above the plants flowering. The experience was made at Didactic and Production Farm Moara Domneasca, between 2010 – 2012. There been studied four distance between rows: 12,5 cm, 25 cm, 37,5 cm and 50 cm, and their influence above two rapeseed cultivars : Valesca cultivars and Exagone hybrid. The cultivation technology was the same for all variant and experimental years. The results obtained in the experimental years shows that the best results was obtained at rapeseed cultivars and hybrid when the distance between the rows at sowing was 25 cm, 37,5 cm and 50 cm.

The paper, presents the results obtained at the Didactic FarmMoaraDomnească – Ilfov county, on a reddish preluvosoil soil, on Olt and Generos corn hybrids, during the period 2011 – 2013, following the application of herbicides at several ages. \nThe results obtained bring an important contribution in clarifying the best period for the application of herbicides on corn hybrids, the factor which must be taken into account in establishing the best moment to apply herbicides: the hybrid’s precocity, its development phenophase, the weed development phase, the evolution of the climatic conditions or all these aspects in their integrality.

The purpose of the Integrated Natural Resources Management program in the Middle East and North Africa Region (MENARID) is to bring national investment projects in the field of Integrated Natural Resource Management (INRM). The evaluation tests whether the selected technology has significantly contributed to restore and maintain of the ecosystem functions and productivity, and whether has improved the economic and social well-being of the targeted communities. We chose Kamkooyeh village in the Behabad site (in Yazd province). A set of complementary activities and interventions were recommended and implemented in the site by consultation (GEF, Government of Iran & UNDP) and active participation of the local communities and beneficiaries. One of the proposed interventions is Cultivation of Medicinal Plants Project (CMPP). The expected benefits and costs of the CMPP were predicted through financial valuation and an ex-ante evaluation of socioeconomic impacts. The financial and social benefit-cost ratio of CMPP was estimated to be about 2.52 and 2.99, respectively.

A study was conducted to evaluate the carbohydrate, lipid, ash, protein, moisture and fiber contents of samples of African bullfrog (Pyxicephalus adspersus) and tilapia (Oreochromis niloticus) collected from ARAC, Aluu, Port Harcourt, Nigeria from Novenber 2013 – February 2014. Slight variations in chemical compositions of both species, some of which were statistically significant, were observed in the study. The range of mean values of carbohydrate (0.54 ± 0.01 – 1.29 ± 0.10%), lipid (0.99 ± 0.33 – 4.54 ± 2.13%), ash (4.02 ± 0.51 – 7.20 ± 1.67%), protein (6.41 ± 0.46 – 13.53 ± 0.74%), moisture (71.86 ± 0.51 – 78.95 ± 3.44%) and fiber (2.31 ± 0.54 – 14.67 ± 2.31%) recorded were consistent with values reported in previous studies. P. adspersus and O. niloticus both represent an attractive and important source of animal protein, providing approximately some 10 – 13% of animal protein for human consumption. Animals with lipid content < 5% are classified to have low-oil content. Lipid contents of P. adspersus and O. niloticus recorded in this study were all below 5%, and therefore falls within the low-oil category that is nutritionally fit for human consumption.

A data warehouse is an integrated database primarily used in organizational decision making. Although the deployment of data warehouses is current practice in modern information technology landscapes, the methodical schema design for such databases has only been studied cursorily. In this paper we pursue schema design for data warehouses in the spirit of classical database design, organized as a sequence of requirement analysis and specification to collect user requirements, conceptual design to model the data warehouse as a multidimensional database independently from implementation issues, logical design to transform the conceptual data warehouse schema into the target data model, and physical design to maximize performance with respect to a target database system In short, from a conceptual point of view a data warehouse is a multidimensional database, and fact schemata, such as the one shown in Figure 1, represent such databases conceptually. In Figure 1, we have a fact schema Account from the banking domain, where measures Balance, BalanceClass, and NoOfTransactions are shown in a two dimensional context of dimensions Time and Account. Each dimension is specified by means of a lattice of dimension levels, whose bottom element is called terminal \ndimension level (here: Day, AccID). Importantly, domains of optional dimension \nlevels may contain inapplicable null values, and context dependencies specify contexts of validity for optional dimension levels (e.g., Age is applicable to private customers, whereas Legal Form is applicable to capital companies, and annotations in the schema indicate these facts).\nGiven a fact schema F, we call the attributes occurring in F the universe of F, denoted by UF, and we note that there is a set of functional dependencies over UF , called the functional dependencies implied by F, denoted by FDF (e.g., the set of terminal dimension levels functionally determines the set of measures, and each edge in a dimension lattice indicates a functional dependency).