The objective of the present work was to estimate water requirements and water use efficiency for Broccoli under normal irrigation conditions and sewage irrigation. Field experiment was carried out during the season 2018 at station/Sulaimni agricultural station/Bakrajo –College of Agricultural Sciences. The experiment included three treatments: River water irrigation in all season growth (I1), Sewage water irrigation in all season growth (I2), Alternate irrigation (one river irrigation followed by two sewage water irrigation) in all season growth (I3). The experimental Design was Randomized Complete Block Design (RCBD) with three replications. Broccoli planted under surface irrigation system. Mean irrigation requirement for irrigation management scheduling gave water consumptive use values 442, 432 and 427 mm for river water, sewage water and alternate irrigation, respectively. Average yield Broccoli plant was 32.67, 40.25 and 46.73 Ton ha−1 for river water irrigation, sewage water irrigation and alternate irrigation, respectively. High performance of Alternate irrigation application was mentioned by plant height which record 39, 42 and 46 cm; head diameter 21, 25 and 28 cm; leaf area 306, 329 and 349 cm2 and number of leaves 18, 21 and 22 for river water irrigation, sewage water irrigation and alternate irrigation, respectively. WUEc were 7.39, 9.32 and 10.94 kg m−3 for river, sewage and alternate treatments, respectively. The results showed that the concentrations of these elements did not reach the critical limits in the fruits for all irrigation treatments. This is a positive and good result due to the increase in rainfall rates in this season led to weak accumulation of heavy metals in the soil and poor absorption by the plant.
Various speech enhancement Algorithms (SEA) have been developed in the last few decades. Each algorithm has its advantages and disadvantages because the speech signal is affected by environmental situations. Distortion of speech results in the loss of important features that make this signal challenging to understand. SEA aims to improve the intelligibility and quality of speech that different types of noise have degraded. In most applications, quality improvement is highly desirable as it can reduce listener fatigue, especially when the listener is exposed to high noise levels for extended periods (e.g., manufacturing). SEA reduces or suppresses the background noise to some degree, sometimes called noise suppression alg
... Show MoreExtraction of copper (Cu) from aqueous solution utilizing Liquid Membrane technology (LM) is more effective than precipitation method that forms sludge and must be disposed of in landfills. In this work, we have formulated a liquid surfactant membrane (LSM) that uses kerosene oil as the main diluent of LSM to remove copper ions from the aqueous waste solution through di- (2-ethylhexyl) phosphoric acid - D2EHPA- as a carrier. This technique displays several advantages including one-stage extraction and stripping process, simple operation, low energy requirement, and. In this study, the LSM process was used to transport Cu (II) ions from the feed phase to the stripping phase, which was prepared, using H2SO4. For LSM p
... Show MoreLevan is an exopolysaccharide produced by various microorganisms and has a variety of applications. In this research, the aim was to demonstrate the biological activity of levan which produced from B. phenoliresistens KX139300. These were done via study the antioxidant, anti-inflammatory, anticancer and antileishmanial activities in vitro. The antioxidant levan was shown 80.9% activity at 1250 µg/mL concentration. The efficient anti-inflammatory activity of 88% protein inhibition was noticed with levan concentration at 35 µg/mL. The cytotoxic activity of levan at 2500 µg/mL concentration showed a maximum cytotoxic effect on L20B cell line and promastigotes of Leishmani tropica. Levan has dose-dependent anticancer and antileishmanial acti
... Show MoreIn the last years, a new technology called Cloud computing has been developed. Empirical and previous studies, commonly examined in business field and other domains. In this study, the significant factors that affecting the adoption of cloud computing have been examined using a frequency analysis that have been explored by the previous studies. The results showed that the most effected factors were relative advantage which followed by security and privacy, complexity, innovativeness, and external support. In this study the model of technology organization-environment was used to examine the significant factors that affecting the adoption of cloud computing.