Total phenols, Proanthocyanidin, Catechin  and Epicatechin wrer extracted and determined in ten rachis and leaves of grape  varieties (Vitis vinifera L.) namely: Shadda Soudda, Rush Meo, Rossi 5, Kamali, Halawani, Black Monica, Dase Al-Anz,  Buhrizi, Rossi 7 and Thompson. through two seasons. The results indicated that the rachis of the tested varieties contain total phenol in concentration (2079.76 and 2557.59), (1458.18 and 2119.89), (2233.01 and 3322.26), (3106.22 and 4613.43), (3251.15 and 4739.05), (1668.88 and 2548.59) and (4163.11 and 6202.90). (3922.22 and 5848.17), (3359.03 and 4915.36) and (1035.45 and 1502.27) mg/kg for the tow seasons, respectively. The rachis of  the white grape varieti

In this study, performance characteristics such as power take off (PTO) power consumption, fuel consumption, fuel consumption for the unit field-unit product were determined at different working speeds with two different PTO applications (540 and 540E) in a single row disc type silage machine. In particular, the 540E PTO application greatly reduces fuel consumption for unit work. The best results in terms of hourly fuel consumption were achieved in 540E PTO application and V1 working speed. When the field - product fuel consumption is evaluated, the best results were obtained with the 540E PTO application at the V3 working speed. When an evaluation is made considering all the parameters, it is concluded that the 540E PTO application will p

In this paper, we present some numerical methods for solving systems of linear FredholmVolterra integral equations of the second kind. These methods namely are the Repeated Trapezoidal Method (RTM) and the Repeated Simpson's 1/3 Method (RSM). Also some numerical examples are presented to show the efficiency and the accuracy of the presented work.  
 

The quality of Global Navigation Satellite Systems (GNSS) networks are considerably influenced by the configuration of the observed baselines. Where, this study aims to find an optimal configuration for GNSS baselines in terms of the number and distribution  of baselines to improve the quality criteria of the GNSS networks. First order design problem (FOD) was applied in this research to optimize GNSS network baselines configuration, and based on sequential adjustment method to solve its objective functions.

FOD for optimum precision (FOD-p) was the proposed model which based on the design criteria of A-optimality and E-optimality. These design criteria were selected as objective functions of precision, whic