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| Articles
by
M. Ahmadi |
Total Records (
4 ) for
M. Ahmadi |
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M.H. Rezaei Moghaddam
,
M. Khayyam
,
M. Ahmadi
and
M. Farajzadeh
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The study area is located in the southwest part of Bisetoon Mountain, south of Kermanshah City in western Iran. Slide is the most common natural phenomenon in the area, which usually is triggered by heavy rainfall and seismic activities. Although there are few active slides in the area, but they are serious threats to population the infrastructures. The aim of this study is to indicate the main factors influencing the slope instabilities. The weights -of- evidence have been applied to evaluate the slide susceptibility using GIS. The relations between slide distributions with the physical parameters such as lithology, elevation, slope gradient, lineaments and distance from streams, vegetation and land use were analyzed by Bayesian statistical model. The weights of evidence were applied to calculate each factor’s weight for the Merek region in west Iran, with numerous slides. Factors (data layers) used for the preparation of the slide susceptibility map were obtained from different sources such as topographic maps, geological maps and satellite images. The results of the analysis of mapping were validated using previous and recent slide location. We found that six parameters namely, distance from stream, slope, land use, profile curvature, plan curvature and lithology show better correlation with slide susceptibility. In the study area of the present work, the methodology was tested by the means of consistent slides found in hillslopes of Nesar Kooh valley. Since most of the information related to slides susceptibility map is geo-spatial, GIS is capable to store, update, display, process, analyze and integrate the different geo-spatial data. Based on this study, six appropriate factors were selected for slides potential hazard mapping in the Merek area. Results of six selected factors are in a good accordance with recently occurred slides. |
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M. Ahmadi
and
E. Teimouri
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In this study, after studying the characteristics and
concepts relating to the Order Penetration Point (OPP), a dynamic programming
model which determines this point in auto export supply chain was proposed.
One of the most important characteristics of this supply chain was that,
the product was packaged in different modules and after various stockings
and passing long routs, was assembled in the target country. This modularized
characteristic of the product was encouraging to explore the OPP of the
chain from one point to several points in which the OPP of each module
was located. Our proposed model tried to put the OPP of expensive modules
(that have higher inventory holding cost) in the upstream section of the
chain and puts the OPP of cheaper ones which created delay, in the downstream
section of the chain. And finally, a numerical example was provided and
solved to illustrate the application of our proposed model. |
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M. Ahmadi
,
Y. Mohammadi
,
H. Darmani Kuhi
,
R. Osfoori
and
S. Qanbari
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The polymorphism in the bovine κ-casein (κ-CN)
and β-lactoglobulin (β-LG) genes were analyzed for DNA sequence
variants using the polymerase chain reaction-restriction fragment length
polymorphism (PCR-RFLP) technique in Iranian Holstein population to find
association between the genotypes and milk traits as well as somatic cell
score. To this purpose, 2537 test day records of one hundred thirty nine
dairy cows were entered in a repeated generalized mixed model. The frequencies
of alleles A and B were estimated as 0.81, 0.19 and 0.57, 043 for κ-CN
and β-LG loci, respectively. The results of association analysis
by the mixed model revealed a significant positive relationship of κ-CN
genotype AA on milk yield (p≤0.04). These analyses did not reveal a
significant association of κ-CN genotypes with fat percent and SCS
traits. In the case of β-LG locus statistical analysis showed a strong
relationship between BB genotype and protein percentage (p≤0.007) comparing
to the other genotypes. These results did not reveal a significant association
of β-LG genotypes with milk yield, milk fat percentage and SCS in
studied animals. A tendency to being significant was however observed
for β-LG genotype AA (p<0.12) with the SCS trait. Because of the
lack of consistency among results of similar studies, we suggest further
investigations to determine the precise nature of these associations with
the milk proteins to be performed based on haplotypes. |
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A. Davasaz Tabrizi
,
R.A. Batavani
,
S. Asri Rezaei
and
M. Ahmadi
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The potential using of Acute Phase Proteins (APPs) in
the assessment of mammary gland health was studied by examining the levels
of Fibrinogen (Fb) and Ceruloplasmin (Cp) in plasma and milk from dairy
cows with different grades of mastitis. Plasma samples were taken from
jugular vein and milk samples were collected from quarters of cows with
subclinical and clinical mastitis, as well as healthy controls. California
Mastitis Test (CMT) were performed on each udder quarter of cows for detection
of CMT2+ and CMT3+ quarters. CMT (0) and culture negative cases were considered
healthy cows. Clinical mastitis, was graded as mild (clots in milk) or
moderate (clots in milk and visible signs of inflammation in the mammary
gland/s). The concentrations of Fb in the plasma of the cows with subclinical
and clinical mastitis were higher than in the plasma of the healthy cows
(p<0.01). There was no significant difference in plasma concentration
of Cp between healthy and subclinical groups (p>0.05), but differences
between clinical and healthy groups were significant (p<0.05). The
concentrations of Fb and Cp in the milk of the cows with subclinical and
clinical mastitis were higher than in the milk of the healthy cows (p<0.01).
The results indicated that measurement of Fb in plasma and milk and Cp
only in milk might be suitable for early diagnosis of mastitis in dairy
cows. |
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