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Hematological and chemical tests have been used as tools to report some blood indexes means and confidence intervals (95%) of the adult "Moorish" or "Greek" male and female tortoises, Testudo graeca Linnaeus, 1758. The area of study was limited to Benghazi province, Libya. Cardiocentesis was employed to obtain blood samples from 25 males and 25 females, which apparently looked healthy tortoises. The anticoagulant of choice, when it was needed, was lithium heparin to avoid destructive effects of the potassium ethylenediaminetetraacetate on cellular elements. Means of the erythrocytes counts as well as confidence intervals of both sexes were below the million per cubic millimeter.
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A study was conducted at the University of Agriculture, Makurdi, to determine water uptake at 6 and 12 hour intervals, and germination characteristics of scarified and non scarified seeds of castor bean accessions in 2008 and 2009. Two hundred seeds were selected from each accession: one hundred seeds were scarified mechanically by caruncle removal using knife (seed lot 1), one hundred seeds were not scarified (seed lot 2). Each seed lot was immersed in 10ml of distilled water contained in 9cm-diameter petridish. Thereafter, seed lots were weighed at every 6 h starting from 0 to 24 h, and at every 12 h up to 108 h.
The purpose of the study was to determine the challenges facing implementation of free primary education in Kenya today using Githunguri district in Kiambu County as a case study. The study sought to identify the factors that have lead to poor implementation of the free primary education. The target population is the 30 public primary schools in the district. A census method of data collection was used. The study revealed that public primary schools in Githunguri district are facing numerous challenges in terms of performance, administrative, and financial. This have in turn impacted negatively on the smooth implantation of the program.
Today‟s social scientists study caste religion, race, education, industrialization and trauma as different areas to improve the existing scientific knowledge whereas such „divisions‟ in the past affected humanity differently and because of certain human mental features the need to minimize the probability of reoccurrence is a challenging situation.
Forty four genotypes of soybean (Glycine max (L.) Merrill] including indigenous germplasm of North East India were studied to evaluate genetic variation for seed yield and Yellow Mosaic Virus (YMV) resistance. All traits under study viz, Plant height (PH), Internodal length(IL), No. of trifoliate leaves plant -1 (TL), Pods plant -1 (PP), Seeds plant -1 (SP), 100- seed weight (SW), Pod weight (PW), Seed yield plant -1 (SY), Days to 50% flowering (DF) and Days to maturity (DM) exhibited wide variation among the genotypes. 100-seed weight exhibited highest coefficient of variance at both genotypic (GCV) and phenotypic level (PCV) followed by seed yield plant - 1 and seeds plant -1 indicating wide variation among the genotypes under study. High heritability coupled with high genetic advance was observed in 100-seed weight, seeds plant -1 , seed yield plant -1, plant height and pod weight plant -1 indicating their potential to be selected for the effectiveness
Micro Electric Discharge Machining is a nontraditional machining process which can be used for drilling micro holes in high strength to weight ratio materials. This present research study deals with the single optimization of micro EDM process using Genetic Algorithm. Mathematical models using Response Surface Methodology (RSM) is used to correlate the response and the parameters. The desired responses are minimum tool wear rate. The control parameters considered are pulse on time, peak current and flushing pressure on micro EDM of AISI stainless steel 304. The process control parameters of the machine have to be set at an optimal setting in order to achieve the desired responses.
The forecast of electricity demand in India is of considerable interest since the electricity sector has been the prime focus of past as well as present Governments. This study presents three models of prediction of electricity demand of New Delhi, namely Multiple Regression, Trend Seasonality Model and ARIMA modelling. The significance of climatic and seasonal factors on electricity demand as well as comparison of the relative accuracy of the models have also been discussed