Welcome to ijasr


S.No. SEPTEMBER-OCTOBE Page No. Downloads
1. In vitro anti-hemolytic effect of 2,2'-((((λ2-azanediyl)bis(ethane-1,2- diyl))bis(azanylylidene))bis(ethan-yl-1-ylidene))diphenol ligand against ferrous sulfate induced damage in human red blood cells

Kamel mokhnachea*, noureddine charefa, soraya madouia

A laboratory of applied biochemistry, university ferhat abbas setif 1,19000, Algeria

ABSTRACT:the Schiff base ligand 2,2'-((((λ2 -azanediyl)bis(ethane-1,2-diyl))bis(azanylylidene))bis(ethanyl-1-ylidene))diphenol was selected for in vitro anti-hemolytic effect against hemolysis induced by ferrous sulfate. Our results indicate that the ligand exhibited an excellent antihemolytic effect with inhibition percentages of 86.07±0.73, 79.30±1.95 and 65.84±2.26% at 62.5, 31.25 and 15.62µg/mL respectively.

Keyword: Schiff base, ligand, hemolysis, anti-hemolytic, red blood cells

Download full manuscript.......download
1-5 download
2. A Bayesian approach to modelling manual traffic counts

Consul, Juliana Iworikumo and Okrinya, Aniayam

Department of Mathematics and Computer, Niger Delta University, Bayelsa State, Nigeria.

ABSTRACT:This research is concerned with the Bayesian modelling of the manual traffic count of vehicles passing through a particular road (Tombia - Amassoma Road) to the Niger Delta University, Bayelsa State of Nigeria. The time intervals between vehicles were recorded in seconds. A Bayesian approach to modelling the occurrence of timed events was used following a Poisson process. The probability density function and distribution function were evaluated using R codes. We investigate the behaviours and patterns of the traffic frequency.

Keyword: Bayesian modelling, vehicle count, traffic, frequency, Poisson process.

Download full manuscript.......download
5-17 download
3. Seismic derived chimney cube in hydrocarbon detection via artificial neural network analysis in “kaiama” field, niger delta, nigeria.

*Olabanji Ojo1 , Flora Anusiobi2 , Oluwatobiloba Oyewo3

* 1,3Department of Geological Sciences, Osun State University, Osogbo, Nigeria; 2Petroplays Nigeria Limited, Lagos, Nigeria.

ABSTRACT:Seismic chimney cube technique was applied on seismic data from “kaiama” field of the niger delta via the artificial neural networks (ann) with the aim of using the technique in the identification of direct hydrocarbon indicators (dhis) and gas detection. Several inlines, cross-lines and z-slice were selected for use in this work and few ones that gave high reflectivity were selected for use. Artificial neural networks template within the opendtect environment was employed to generate the algorithm used during the application of chimney yes and chimney no. The result showed that the density of chimney were more concentrated in the vicinity of bright spot at time 3000 msec on inline 5800 and dim spot at time 1600 on inline 6000. Prominent faults were detected at time 2000 to 3800 msec on inline 5800 and at time 1800 to 4400 msec on inline 6000. The concentration of chimney cube density around the bright spot shows that the zone is gas rich while concentration around the dim spots shows a region that is oil rich. Those around the flat spot show evidence of fluid contact. However, the density of the chimney on the bright spot diminishes upwards until it fizzles out. The fade in density indicates that other zones with different direct hydrocarbon indicator such as dim spot are present. It is concluded that the artificially generated chimney cube when applied on seismic data gives a clearer result than when viewed under traditional seismic interpretation section without an applied chimney.

Keyword:Chimney cube, kaiama, neural networks, niger, delta, artificial

Download full manuscript.......download
17-29 download

Isaac Aigbedion & Theophilus E. Okoror

Faculty of Physical sciences, Department of Physics/Geophysics, Ambrose Alli University, Ekpoma, Edo State, Nigeria

ABSTRACT:A Geophysical investigation involving the Very-Low Frequency Electromagnetic (VLF-EM) profiling method and Vertical Electrical Sounding (VES) method with the Schlumberger configuration were carried out at Irrua Specialist Teaching Hospital (I.S.T.H) and environ in Esan Central Local Government area of Edo State, Nigeria. The study was carried out with the aim of gleaning the subsurface layer information and/or parameter (conductivity, resistivity, and thickness) and thereby ascertains the underground water potential thereof. A total of three (3) VLF-EM profiles were transverse at different directions using the Abbem wadi Electromagnetic equipment used in the study as a reconnaissance tool. With the Omega resistivity meter a total of two (2) VES (Ves 1 and Ves 2) study was done with AB/2 covering a predetermined distance of 500meter. The VLF-EM result reveals that the filter real and the filter imaginary amplitude vary between 31.2% to -41.6% and -30.5% to 53.2% respectively. From the quantitative interpretation of the VES data(with computer iterative method) enabled the characterization of eight(8) geo-electric layers made up of dry top sand, sandy clay, sandstone and a high resistive dry sand, covering a total depth of (178.30 - 178.71) m. From the study, it is evident that ground water in the study area is in the upper aquifer which is shallow and may not be too prolific in terms of accumulation and yield.

Keyword: Anomaly, conductivity signature, Fracture Zone, Geoelectric sections, groundwater, resistivity

Download full manuscript.......download
29-42 download
5. Evaluation of selected cassava varieties for resistance to cassava brown streak disease in South Kivu, Eastern part of DR Congo

Musungayi Mpongolo Eric

Mulungu Station, National Institute for Agricultural Study and Research,BP 2037, Kinshasa, Bukavu DR. Congo.

ABSTRACT: Cassava brown streak disease (CBSD) has been a serious and most damaging disease in cassava crop throughout the East, Central and Southern part of Africa. Development of cassava varieties that are resistant and/or tolerant to CBSD is an important component in the CBSD management. The main purpose of this study was to evaluate both improved varieties used by farmers and clones from Mulungu research Center for possible sources of resistance to CBSD. The experiment was laid out using a Randomized Completely Block Design with three replicates in six sites. Data were collected at 1, 3, 6, 9 and 12 month after planting for plant height, CBSD incidence and severity, root yield and yield components. Results indicated that foliar and root incidences and severity varied significantly among genotypes (P<0.001). Almost, all the genotypes showed foliar CBSD symptoms and root necrosis, whereas one genotype, 2001/1661 did not show foliar symptoms and root CBSD symptoms across all the sites. Highest CBSD pressure was observed at Kamanyola and Katogota with foliar CBSD incidences of 62.4% and 78.5% and root necrosis incidences of 37.5% and 59.1%. In terms of yield, it was highest in Katogota (24.5 t/ha) and Runingu (24.4 t/ha) and the lowest yield was in Kaziba site. The absence of both foliar and root symptoms on 2001/1661 across all sites indicated that this variety can be adopted by farmers in Kivu region for its resistance to CBSD.

Keyword: Cassava varieties, cassava brown streak disease, performance, resistance

Download full manuscript.......download
42-51 download

1 Joseph, M; 2Adewuyi, K. A; 3 Stephen, J & 4Maurice, D.C

1Department of Agricultural Economics and Extension, Abubakar Tafawa Balewa University, Bauchi 2 School of Agriculture, Federal Polytechnic Mubi, Adamawa State. 3,4Department of Agricultural Economics and Extension, Modibbo Adama University of Technology, Yola.

ABSTRACT:This study examines sole groundnut production among women farmers in Mayo-Belwa Local Government Area of Adamawa State, Nigeria. The objective was to determine the efficiency of resource use in groundnut production among women farmers. Primary data were collected and used from a random sample of 120 groundnut women farmers selected in six of the twelve wards of the Local Government Area. Descriptive statistics, multiple regression analysis, marginal analysis of input utilization and gross margin analysis were employed. The result revealed that majority of the groundnut women farmers were married and literate. The average age was 39 years with farming experience of 19 years. The result further revealed that farm size, quantity of seeds, quantity of inorganic fertilizers and man-days of hired labour were significant at varying levels and positively influenced groundnut output. The variable included in the model account for 56% of the variation in the groundnut yield. The analysis of the resource utilization showed that fertilizer, hired labour and land were under- utilized. The gross margin analysis revealed a gross margin per hectare of N43, 987.33. The total variable cost per hectare was estimated as N18, 485.17. Groundnut women farmers were faced with the problems of inadequate capital, lack of credit facility, pest and disease, low commodity price and high cost of agro-chemicals. The study recommended the use of improved groundnut seed varieties to increase yield per hectare, among others.

Keyword: Groundnut production, women farmers Mayo-belwa and Nigeria

Download full manuscript.......download
51-63 download


Hello Author, we are happy to announce that We have Prepare automated Process now you can check the status of your paper right from the website instead of Email Us. We would request you Please visit :


Now We Started Online Paper Submission We Invites to all Author Please Submit your Paper through Website For Faster Review Process.

Submit Paper online

More Links

For Authors

For Reviewer

plagiarism-checker,grammer-checker,word counter www.plagiarism.org