This study has contributed to identify convenience of the land Usifiya of Mahmudiya district baghdad province for the cultivation of sensitive and salt resisting crops and growing pasture .The nine pedons (tracks) of the study have spread over three transects to cover the whole area the north, middle and south .
Depending on Visual Space tupe (TM) for 2007 which is super classified, samples are distributed on all classes of land cover
It is detected the presence of nine series soils namely
MM5- MW96- DM 115 for 1st transect
MF12- DM46 - DM96 for 2nd transect
DM56- DF56 - MW5 for 3rd transect
Soils are classified to the level of sub great group according to (soil Survey Staff) to :
*Typic Torri Fluvents , Typic Haplosalds
Some properties of soil including chemical are choosen, which determine the degree and the optimal convenience of the land, using the method of standard beating (Sys 1980) These are soil texture clalcium carbonate Gypsum , salinity drainage state Exchangable sodium Ration, soil depth, horizon development and weathering index.
Results show that by application of the equation there are five varieties suitable for cultivation for each kind of crops :-
A. For sensitive crops :-
very suitable S1 : it include series DW96 with11.1%, suitable S2 : series MW5 & DM56 with 22.2 % medium suitable S3: series DM115 – MM5 – DM96 with 33.3 %
Less suitable S4 : series DM46 with 11.1 %, insuitabhe N : series DF56 with 11.1%
B. for resisting crops :
Very suitable S1 : it includes series DW96 _ MW5 _ DM56 with 33.3 %
Suitable S2 : series DM115 _ MM5 _ DM96 with 33.3%
Medium suitable S3 : series DM46 with 11.1 %
Less suitable S4 : series DF12 with 11.1%
Insuitable N : series DF56 with 11.1 %
c)for grain for Dqsture :
very suitable S1 : it include series DM56_ MW5 _ MM5 with 33.3%
suitable S2 : series DM96 _ DM96 _ DM115 with 33.3 %
medium suitable S3 : series DM46 with 11.1 %
less suitable S4 : series MF12 with 11.1 %
insuitable N: it include series DF56 with 11.1 %
The area of each class of suitable varieties of different crops has been specified using the program Arc GiS10.2 with the help of geostat istics Analysis .
The area of different types are :-
Sensitive crops, S1: 16.79 km2 , S2: 89.15 km2 , S3: 248.3 km2 , S4 : 37.18 km2 , N : 18.00km2 . Salt – resisting crops , S1: 180.14 km2 , S2: 182.82 km2 , S3:28.29 km2, S4: 11.19km2 , N:6.91 km2 . grain for pastuer , S1: 224.59km2 , S2 : 127.77 km2 , S3:38.77 km2 , S4 : 12.44km2 , N : 5.88 km2 .
This paper investigated the fatigue life behavior of two composite materials subjected to different times of shot peening (2, 4 and 6 min).The first material prepared from unsaturated polyester with E-glass reinforcement by 33% volume fraction. While, the second one was prepared from unsaturated polyester with aluminum powder by2.5% volume fraction. The experimental results showed that the improvement in endurance limit was obtained (for the first material) at 2, 4 and 6 min shot peening times where the percentage of maximum improvement was 25% at shot peening time of 6 min. While, the endurance limit of the second material decreased at shot peening times of 2, 4 and 6 min where the percentage of maximum reduction was 29 % at shot peenin
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Olfactory impairment and abnormal frontal EEG oscillations are recognized as early markers of Alzheimer’s disease (AD). Using a publicly available olfactory EEG dataset of 35 subjects spanning normal cognition, amnestic mild cognitive impairment (aMCI), and AD, each with MMSE scores and demographics, stimulus-locked epochs from four electrodes (Fp1, Fz, Cz, Pz) were processed with wavelet-based time–frequency analysis. Band-limited power ratios (delta, theta, alpha, beta) were computed as log-transformed post-odor/baseline values and aggregated to subject-level features. Statistical analyses revealed graded attenuation of odor-evoked frontal (Fp1) band-power ratios across groups, with significant differences in several band–od
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In this work magnetite/geopolymer composite (MGP) were synthesized using a chemical co-precipitation technique. The synthesized materials were characterized using several techniques such as: “X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), vibrating sample-magnetometer (VSM), field-emission scanning electron microscopy (FE-SEM), energy dispersive X-ray spectroscopy (EDS), Brunauer–Emmett–Teller (BET) and Barrentt-Joyner-Halenda (BJH)” to determine the structure and morphology of the obtained material. The analysis indicated that metal oxide predominantly appeared at the shape of the spinel structure of magnetite, and that the presence of nano-magnetite had a substantial impact on the surface area and pore st
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