Field trial was conducted in Research Field equipped with rainfall transparent
shade, Biology Department, College of Science, Baghdad University during the
growing season of 2012 to test the potential of sorghum water extract in improving
yield and yield components of local cultivar of mung bean crop grown under
different moisture deficit stresses. The water stresses were applied by irrigated the
plots to field capacity and withheld the next irrigation until the soil water deficit
reaches 80, 50 and 30% of field capacity for control, mild water stress and higher
water stress, respectively. Foliar application of sorghum water extract at 0 ( control),
2.5 and 5% (W/V) was made at preflowering, flowering and fruiting stages. The
experiment was conducted in split plot design with four replications for each
treatment. The sorghum water extract rates were kept in the sub plot while moisture
deficits were assigned as main plot.
Results showed that drought stress significantly reduced the averages seed
yield , dry matter accumulation, number of pods per plant, number of seeds per pod
and plant height. Foliar applications of sorghum extracts significantly increased
seeds yield, dry weight biomass, number of seeds per pod and plant height. The
interaction of drought stress and sorghum water extract treatment significantly
affected seed yield , dry matter accumulation, number of pods per plant, total
chlorophyll content and plant height. Application of sorghum water extract under
severe moisture deficit stress (i.e., 70% field capacity) increased seed yield, dry
weight biomass and plant height , number of pods per plant, number of seeds per
pod by 37.8%, 48.9%,64.3%,8.7% and 5.1%, of control, respectively compared the
reduction achieved by the sever moisture deficit applied alone which was 58.50% ,
56.06% , 57.17% , 48.05% and 14.78 % of control for the aforementioned
parameters respectively.
Chlorophyll content was found to be increased by effected by application of
sorghum extracts at control moisture treatment. Proline content of leaves was
significantly increased by high drought stress when water extract applied alone.
However, such differences disappeared when sorghum extract was applied,
suggesting another mechanisms could be responsible for the stimulatory effect of
sorghum extract under drought stress.
The present study aims to investigate the seroprevalence rate of Toxoplasma gondii infection and its relation to some demographic factors among males in Duhok province/Iraq. A total of 424 random blood samples were collected from the male population of different ages (18-60) years and different social-economic classes. Out of 424 samples examined, 108 (25.47%) were seropositive to the anti- T. gondii antibodies; 88 (20.75%) were found seropositive for IgG, while 20 (4.72%) samples were seropositive for IgM. Regarding occupation, the highest percentage for chronic toxoplasmosis was reported in workers followed by policemen and pensioners at rates of 23.96%, 23.6%, and 23.07%, respectively. The age group 18-30 y
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In individuals with type 2 diabetes mellitus (T2DM), the cannabinoid receptor 1 (CNR1) gene polymorphism has been linked to diabetic nephropathy (DN). Different renal disorders, including DN, have been found to alter cannabinoid (CB) receptor expression and activation. This cross-sectional study aimed to investigate the relationship between CNR1 rs1776966256 and rs1243008337 genetic variants and the risk of developing DN in Iraqi patients with T2DM. The study included 100 patients with T2DM, divided into two groups: 50 with DN and 50 without DN. Genotyping of CNR1 rs1776966256 and rs1243008337 polymorphisms was conducted using PCR in DN patients and control samples. The distribution of rs1776966256 and rs1243008337 genotypes and alleles bet
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Vaccination is a vital cornerstone of public health, which has saved countless lives throughout history. Therefore, achieving high vaccination uptake rates is essential for successful vaccination programs. Unfortunately, vaccine uptake has been hindered by deferent factors and challenges. The objective of this study is to assess COVID-19 vaccine uptake and associated factors among the general population.
This study is a descriptive cross-sectional study conducted in Basmaia city, Baghdad from June to October 2022. Data were collected through a semi-structured questionnaire using multi-stag
BACKGROUND: Diabetes Mellitus is a complex chronic illness that has increased significantly around the world and is expected to affect 628 million in 2045. Undiagnosed type 2 diabetes may affect 24% - 62% of the people with diabetes; while the prevalence of prediabetes is estimated to be 470 million cases by 2030. AIM OF STUDY: To find the percentage of undiagnosed diabetes and prediabetes in a slice of people aged ≥ 45years, and relate it with age, gender, central obesity, hypertension, and family history of diabetes. METHODS: A cross sectional study that included 712 healthy individuals living in Baghdad who accepted to take part in this study and fulfilling the inclusion and exclusion criteria.
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This research aims to predict new COVID-19 cases in Bandung, Indonesia. The system implemented two types of deep learning methods to predict this. They were the recurrent neural networks (RNN) and long-short-term memory (LSTM) algorithms. The data used in this study were the numbers of confirmed COVID-19 cases in Bandung from March 2020 to December 2020. Pre-processing of the data was carried out, namely data splitting and scaling, to get optimal results. During model training, the hyperparameter tuning stage was carried out on the sequence length and the number of layers. The results showed that RNN gave a better performance. The test used the RMSE, MAE, and R2 evaluation methods, with the best numbers being 0.66975075, 0.470
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The deterioration of buried sewers during their lifetime can be affected by several factors leading to bad performance and can damage the infrastructure similar to other engineering structures. The Hydraulic deterioration of the buried sewers caused by sewer blockages while the structural deterioration caused by sewer collapses due to sewer specifications and the surrounding soil characteristics and the groundwater level. The main objective of this research is to develop deterioration models, which are used to predict changes in sewer condition that can provide assessment tools for determining the serviceability of sewer networks in Baghdad city. Two deterioration models were developed and tested using statistical software SPSS, the
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