The objective of this study was to investigate the drought stress and plant density possibility on water productivity and grain yield of maize (Zea mays L.) (Planting Baghdad 3 synthetic varieties), Field experiment was conducted at Abu Ghraib Research Station (Baghdad) during spring and Autumn seasons of 2016 using a randomized complete block design arranged in split plot with three replications. Three irrigation treatment included: irrigation after depletion 50% of available water (T1), irrigation after depletion 75% of available water (T2) and irrigation after depletion 90% of available water (T3) in the main plots and three plant density which were: 1 seeds hill-1 (D1) giving a uniform plant density of 66666 plants ha-1 , 2 seeds hill1 (D2) giving a uniform plant density of 133332 plants ha-1 and 3 seeds hill-1 (D3) giving a uniform plant density of 266664 plants ha-1 assigned in sub plots. The results showed that the plant density of 66666 plants ha-1 gave highest value for most growth and yield components (day's number to 50% male and female flowering, leaf area, dry matter for root and number of ears per plant) for both seasons, but no significant with plant density of 133332 plants ha-1 . Irrigation at depletion 75% of available water was superior in grain yield and most components of growth, also this treatment not significant compare with irrigation at depletion 50% of available water in all parameter of growth and yield of corn. Irrigation at depletion 75% of available water was saving 21.5 and 12.23% depth of water added compare to irrigation at depletion 50% of available water in spring and autumn season, respectively. The irrigation at depletion 75% of available water gave the highest grain yield 9356 kg ha-1 and plant density D1 gave the highest value 8449 kg ha-1 and not difference with D2 8278 kg ha-1 , but increased compare to D3 treatment.
A paraffin wax and copper foam matrix were used as a thermal energy storage material in the double passes air solar chimney (SC) collector to get ventilation effect through daytime and after sunset. Air SC collector was installed in the south wall of an insulated test room and tested with different working angles (30o, 45o and 60o). Different SC types were used; single pass, double passes flat plate collector and double pass thermal energy storage box collector (TESB). A computational model based on the finite volume method for transient tw dimensional domains was carried out to describe the heat transfer and storage in the thermal energy storage material of collector. Also, equivalent specific heat metho
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There is a theoretical controversy in the books of Usul al-Fiqh, in the past and the present, about whether the ruling should be attached to its reason (al-Hikmah), or its apparent and stable cause (al-Illah). Looking at the practical cases of the jurists, we found them sometimes attaching rulings to its reason, and sometimes to its cause, so there is a need to know the factors that affect their choices. By extrapolation, the researcher reached at nine factors that affect referring the ruling to its cause or to its reason in jurisprudential cases.
This research includes description of the x-ray diffraction, morphology and sensing measurements of SnO2 doped In2O3 thin films synthesized by pulsed laser deposition method on glass and silicon wafer substrates. In2O3:SnO2 powders were obtained by mixing In2O3 with SnO2 in the desired ratio, and calcination the at temperature 1273 K for 5 hours. SnO2 doped In2O3 thin films with different ratios (0, 0.01, 0.03, 0.05, 0.07, and 0.09% wt.) were prepared using pulsed laser deposition method. The structural investigation using X-ray diffraction revealed that the mai
Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
... Show MoreThe compliance is considered
This study aimed to deduce the net atrioventricular compliance which is affected the trans mitral blood flow.
This study focuses on study group of 25 patients (15 males
The aim of this study is to develop a novel framework for managing risks in smart supply chains by enhancing business continuity and resilience against potential disruptions. This research addresses the growing uncertainty in supply chain environments, driven by both natural phenomena-such as pandemics and earthquakes—and human-induced events, including wars, political upheavals, and societal transformations. Recognizing that traditional risk management approaches are insufficient in such dynamic contexts, the study proposes an adaptive framework that integrates proactive and remedial measures for effective risk mitigation. A fuzzy risk matrix is employed to assess and analyze uncertainties, facilitating the identification of disr
... Show MoreThe present work aims to study the treatment of oily wastewater by means of forward osmosis membrane bioreactor process. Side stream (external) configuration and submerged (internal) configuration of osmotic membrane bioreactor were performed and investigated. The experimental work for each configuration was carried out continuously over 21 days. The flux behavior of forward osmosis membrane in an osmotic membrane bioreactor (OMBR) was investigated, using NaCl as the draw solution and CTA as FO membrane. The effect of mixed liquor suspended solids (MLSS) concentration and TDS accumulation of bioreactor on water flux and membrane fouling behaviors was detected. The accumulation and rejection of nutrients in the bioreactor (Nitrate, COD,
... Show MoreHere is a professional and precise English translation of the text, formatted for clarity and academic/report standards: ## Translation Sustainable management of irrigation water is one of the most critical challenges facing the agricultural sector in Iraq, including the Al-Mahmoudiya district. As a vital rural and agricultural area, Al-Mahmoudiya relies on agriculture as a primary source of livelihood, particularly for cultivating grains, vegetables, and certain horticultural crops. Farmers in the district mainly depend on the Tigris and Euphrates rivers and their branching canals, as well as groundwater in certain areas. However, the prevailing irrigation methods remain traditional, leading to significant water waste and low water-use e
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