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EFFECT OF GIBBERELLIN AND LIQUORICE EXTRACT ON FRUITS PHYSICALS CHARACTERISTICS OF DATE PALM Phoenix dactylifera L. ZAHDI CV.‏
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Publication Date
Wed Nov 01 2017
Journal Name
Biochemical Engineering Journal
Waste date seed oil extract as an alternative feedstock for Poly(3-hydroxybutyrate) synthesis
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Publication Date
Thu Nov 30 2017
Journal Name
Iosr Journal Of Pharmacy And Biological Sciences (iosr-jpbs)
In-vitro effect of artemisinin on L. tropica promastigotes
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Leishmaniasis is a widespread parasitic disease caused by Leishmania parasite, this disease considers a major health problem among worldwide. Treatments available are expensive or with cytotoxic side effect. This study was aimed to investigate the effect of an herbal new compound, called artemisinin, derived from a Chinese plant called Artemisia annua. Various concentrations were studied in vitro against L. tropica amastigotes by chamber counting to investigate its effect on the proliferation of promastigotes. Three incubation periods were adopted (24, 48, 72) hours. The results showed a significant decrease in surviving promastigotes, in parallel with the normal parasite count of untreated promastigotes, along the periods studied. This stu

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Publication Date
Wed Nov 15 2017
Journal Name
Journal Of Pharmacy And Biological Sciences
In-vitro effect of Artemisinin on L. tropica promastigotes
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Leishmaniasis is a widespread parasitic disease caused by Leishmania parasite, this disease considers a major health problem among worldwide. Treatments available are expensive or with cytotoxic side effect. This study was aimed to investigate the effect of an herbal new compound, called artemisinin, derived from a Chinese plant called Artemisia annua. Various concentrations were studied in vitro against L. tropica amastigotes by chamber counting to investigate its effect on the proliferation of promastigotes. Three incubation periods were adopted (24, 48, 72) hours. The results showed a significant decrease in surviving promastigotes, in parallel with the normal parasite count of untreated promastigotes, along the periods studied. Th

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
The Effect of Eruca sativa extract on Gram Posative and Negative Bacteria
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The antibacterial effect of (Eruca sativa) extract was evaluated by an in vitro study testing the growth of various Gram-Positive and Gram-Negative bacteria . The bactericidal activity of this extract was analyzed by serial dilution in tubes. This study,found that Gram-Negative and Gram-Positive bacteria susceptible to very low eruca concentrations. On the other hand, Gram-positive bacteria were more susceptible than Gram-negative bacteria, the minimal bactericidal concentration of Gram-positive bacteria was 5 mg ml-1 but minimal bactericidal concentration of Gram-negative bacteria was 10 mg ml-1 that mean duble inhibation concentration of Gram-positive bacteria . this study suggest that Eruca sativa leaves have inhibation effect on Gra

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Publication Date
Sun Dec 01 2013
Journal Name
Baghdad Science Journal
Effect ofGarlic(Allium sativum )extract and root extract of Ginger (Zingiber officinale)on growth and yield of Chick plant (Cicer arietinum)
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An experiment was conducted at botanical garden of Department of Biology ,College of Education (Ibn-AL –Haitham ,University of Baghdad during winter season of 2010 -2011.The aim of prsent study is to investigate the effect of Garlic (Allium sativum) extract and root extract of Ginger(Ziniber officinale)in two concentration of both extracts (20% and 30%)on growth and yield of (Cicer arietinum).The result showed that both extracts increased plant hight ,Chlorophyl content ,relative growth rate (RGR).Absolute growth rate (AGR),seeds yield .seed weight average ,biological yield ,carbohydrate and protein percentages in seeds,in comparsim with control plants .

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Publication Date
Mon Apr 01 2024
Journal Name
Iop Conference Series: Earth And Environmental Science
Sustainable approach for seed stimulating and sowing date to enhance field emergence and growth of sorghum (Sorghum bicolor L. Moench)
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Sorghum cultivation is often accompanied by low field emergence rates and weak seedlings, which may be due to genetic or environmental stress. A factorial experiment was conducted in the spring and fall seasons of 2022 using a randomized complete block design with split-plot arrangement and four replications. Planting dates (spring season: Feb. 15th, Mar. 1st, 15th, and Apr. 1st, 15th; fall season: Jun. 15th, Jul. 1st, 15th, and Aug. 1st, 15th) were allocated to the main plots. Seeds stimulation treatments (35% banana peel extract + 100 mg L-1 citric acid and distilled water soaking treatment only) were allocated to the subplots. The interaction treatment (banana peel extract + citric acid) with the planting date of April 15 showed the high

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Publication Date
Thu Jan 20 2022
Journal Name
Tikrit Journal Of Agriculture Sciences
Effect of seaweed extract (algean) and (atonik) on vegetative growth and yield of cucumber
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Publication Date
Tue Apr 30 2024
Journal Name
Abdulraheem Assi Obaid
Effect of shading net, planting methods and bio-extract on production of muskmelon
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Publication Date
Tue Jan 06 2026
Journal Name
Frontiers In Mechanical Engineering
Effect of different wing geometries on their vibration characteristics
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Understanding how wing geometry and internal structural configuration influence vibration behavior is essential for ensuring the aeroelastic stability and structural integrity of modern aircraft. This study presents a comprehensive numerical investigation of the modal and deflection characteristics of aircraft wings with different geometries (symmetric tapered planform and swept-back) and spar configurations (box and I-section) using the finite element method (FEM) in ANSYS Mechanical APDL R.15. Six NACA airfoil profiles (0024, 2411, 2416, 2424, 4412, and 4421) with angle of attack 9° under 50 m/s speed and 1,100 kg pay load were analyzed under identical aerodynamic and material conditions using linear elasti

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Publication Date
Sat Aug 09 2025
Journal Name
Scientific Reports
Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.)
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Accurate prediction and optimization of morphological traits in Roselle are essential for enhancing crop productivity and adaptability to diverse environments. In the present study, a machine learning framework was developed using Random Forest and Multi-layer Perceptron algorithms to model and predict key morphological traits, branch number, growth period, boll number, and seed number per plant, based on genotype and planting date. The dataset was generated from a field experiment involving ten Roselle genotypes and five planting dates. Both RF and MLP exhibited robust predictive capabilities; however, RF (R² = 0.84) demonstrated superior performance compared to MLP (R² = 0.80), underscoring its efficacy in capturing the nonlinear genoty

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