2018 VOLUME-1 ISSUE-2 SEPTEMBER-OCTOBE
COMPELET ISSUE
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....... |
01-05 |
|
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....... |
01-12 |
|
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
*
1,3 Department 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....... |
01-12 |
|
4. |
GEOELECTRIC INVESTIGATION FOR GROUNDWATER AQUIFER IN A
SEDIMENTARY ENVIRONMENT, A CASE STUDY OF IRRUA SPECIALIST
TEACHING HOSPITAL, ESAN CENTRAL LOCAL GOVERNMENT AREA OF EDO
STATE, NIGERIA.
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....... |
01-13 |
|
5. |
Evaluation of selected cassava varieties for resistance to cassava brown streak disease in
South Kivu, Eastern part of DR Congo
Musungayi Mpongolo Eric*, Ugentho Ukany Henri, Munganga wa Muhwandju Romain, Paul Mulemangabo Katagondwa, Jean-Mari Musungayi Tshitebwa, Bibish Musungayi Muyayabo
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....... |
01-09 |
|
6. |
SOLE GROUNDNUT PRODUCTION AMONG WOMEN FARMERS' IN MAYO-BELWA
LOCAL GOVERNMENT, ADAMAWA STATE, NIGERIA
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....... |
01-12 |
|
|
More Links
For Authors
For Reviewer
|