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Mitigation of drought stress effect on growth and productivity of mung bean by foliar application of sorghum water extract
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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.

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Publication Date
Wed Jul 01 2020
Journal Name
Plant Archives
Investigating the ability to use natural iraqi material ⇜crushed porcelanite rocks⇝ in greywater filtration, and compare it with sand filter
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Scopus
Publication Date
Thu Mar 05 2020
Journal Name
International Journal Of Psychosocial Rehabilitation
Special exercises with ropes, rubber bullets and their impact in some biomechanical variables in the 100m hurdles ran for juniors
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Publication Date
Wed Jun 30 2021
Journal Name
Journal Of Economics And Administrative Sciences
comparison Bennett's inequality and regression in determining the optimum sample size for estimating the Net Reclassification Index (NRI) using simulation
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 Researchers have increased interest in recent years in determining the optimum sample size to obtain sufficient accuracy and estimation and to obtain high-precision parameters in order to evaluate a large number of tests in the field of diagnosis at the same time. In this research, two methods were used to determine the optimum sample size to estimate the parameters of high-dimensional data. These methods are the Bennett inequality method and the regression method. The nonlinear logistic regression model is estimated by the size of each sampling method in high-dimensional data using artificial intelligence, which is the method of artificial neural network (ANN) as it gives a high-precision estimate commensurate with the dat

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Crossref
Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Robotics And Control (jrc)
Automated Stand-alone Surgical Safety Evaluation for Laparoscopic Cholecystectomy (LC) using Convolutional Neural Network and Constrained Local Models (CNN-CLM)
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In this golden age of rapid development surgeons realized that AI could contribute to healthcare in all aspects, especially in surgery. The aim of the study will incorporate the use of Convolutional Neural Network and Constrained Local Models (CNN-CLM) which can make improvement for the assessment of Laparoscopic Cholecystectomy (LC) surgery not only bring opportunities for surgery but also bring challenges on the way forward by using the edge cutting technology. The problem with the current method of surgery is the lack of safety and specific complications and problems associated with safety in each laparoscopic cholecystectomy procedure. When CLM is utilize into CNN models, it is effective at predicting time series tasks like iden

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Publication Date
Thu Nov 30 2023
Journal Name
Iraqi Journal Of Science
Novel Nano Zn+2-Compound from LA Ligand as an Acid-Base Indicator: Synthesis, Characterization, pH Sensor, and Fluorescent Study
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The main goal of our research is to synthesize novel nano Zn2+ complex with the 8-(2-(dansyl chloride)azo) adenine (LA) ligand as a pH sensor because of its advantageous properties, obtained from a single molecule. The Zn2⁺- LA complex was based on the production of an intensely dark purple-colored substance with λmax at 552 nm. Molar ratio of Zn2⁺- LA complex is a 1:2 in aqueous buffer. The optimum concentration (0.3) mM, pH (2-5.5), and time (0-3) hr at pH=5.5, that in the studies followed Lambert-law Beer'

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Publication Date
Mon Jan 01 2024
Journal Name
Dyes And Pigments
3′,3′,4′,4′,5′,5′,6′,6′,6′-nonafluoro-hexyloxy groups substituted phthalocyanines: Synthesis, characterization and their biological properties
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Publication Date
Fri Oct 01 2021
Journal Name
Saudi Pharmaceutical Journal
Organization factors influencing nurse ability to prevent and detect adverse drug events in public hospitals using a patient safety model
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Publication Date
Fri Jun 30 2023
Journal Name
Mathematical Modelling Of Engineering Problems
Enhanced Prosthesis Control Through Improved Shoulder Girdle Motion Recognition Using Time-Dependent Power Spectrum Descriptors and Long Short-Term Memory
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Surface electromyography (sEMG) and accelerometer (Acc) signals play crucial roles in controlling prosthetic and upper limb orthotic devices, as well as in assessing electrical muscle activity for various biomedical engineering and rehabilitation applications. In this study, an advanced discrimination system is proposed for the identification of seven distinct shoulder girdle motions, aimed at improving prosthesis control. Feature extraction from Time-Dependent Power Spectrum Descriptors (TDPSD) is employed to enhance motion recognition. Subsequently, the Spectral Regression (SR) method is utilized to reduce the dimensionality of the extracted features. A comparative analysis is conducted between the Linear Discriminant Analysis (LDA) class

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Publication Date
Sun Dec 15 2019
Journal Name
Al-academy
Comic Scene Construction between Dramatic Situation and Acting Performance in Feature Film: علاء الدين عبد المجيد جاسم-عمار حميد حسين
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The research (Comic Scene Construction between Dramatic Situation and Acting Performance in Feature Film) has been divided into the following: the methodological framework which consists of the problem of the research: how to construct the comic scene between the dramatic situation and acting performance in the feature film. The research importance and aims are: identifying how to construct the comic scene between the dramatic situation and acting performance in the feature film. The limits of the research are also stated.
The research is divided into three sections: the first is the comic situation and the Aristotelian discourse in which the comic situation is clarified starting from the Aristotelian discourse. The second section: me

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Crossref
Publication Date
Sun Nov 01 2015
Journal Name
Engineering And Technology Journal
Synthesized Cu (In, Ga) Se2 (CIGS) thin films and implementation as the active light absorbing material in photovoltaic devices (PVs)
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This review article summarizes our research focused on Cu(In, Ga)Se2 (CIGS) nanocrystals, including their synthesis and implementation as the active light absorbing material in photovoltaic devices (PVs). CIGS thin films were prepared by arrested precipitation from molecular precursors consisting of CuCl, InCl3, GaCl3 and Se metal onto Mo/soda-lime glass (SLG) substrates. We have sought to use CIGS nanocrystals synthesized with the desired stoichiometry to deposit PV device layers without high temperature processing. This approach, using spray deposition of the CIGS light absorber layers, without high temperature selenization, has enabled up to 1.5 % power conversion efficiency under AM 1.5 solar illumination. The composition and morphology

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