Micronutrients application significantly affects plant growth, development and bio-chemical process. A field study under subtropical rainfed condition was carried out to test the agronomic efficiency and HCN content of sorghum cultivars (JS-2002, Chakwal sorghum) applied with two levels of Zn (5 and 10 kg ha-1) and B (1 and 2 kg ha-1) micronutrients. Morphological, forage yield components and HCN content were assessed at two growth stages (60 and 75 DAS), while seed yield and concentration of zinc and boron in leaves and seed at soft dough stage. Both micronutrients have significant effects on biophysical and HCN content of both forage sorghum cultivars studied in this experiment. Combined effect of Zn and B @ 10 and 2 kg ha-1 was more pronounced because greater plant height, leaf area, fresh and dry biomass yield and seed yield than the sole application. Sorghum cultivar JS-2002 was found more efficient than Chakwal sorghum regarding morphological and yield traits. HCN content was found to be higher in plants without micronutrient application. Highest agronomic efficiency of seed, forage and dry nutrient ratio of 422, 6.28 and 1.55 were obtained where 2 kg ha-1 boron was applied resulting 35% net benefit when compared to control treatment.

If today\'s organizations are not able to adopt themselves with environmental changes, they will lose the competition. In such a condition, organizations are in need of leaders who are capable of turning their companies into one having more ability to progress and even to survive in those situations. Transformational leaders guide organization from present to the future and apply suitable changes to support the organization\'s objectives. Besides, knowledge management is a crucial factor influential in helping organizations survive and gain success in such competitive environment and Information Age. Also considering the fact that the leaders play the role of a sample for others, their leadership style is directly influential in organization\'s tendency and manner of facing with processes and steps of knowledge management. Therefore, this article intends to find the relationship between transformational leadership and knowledge management in Alvan Sabet Company. \nFor this purpose, having done a revision of the existing literature on the field, we established five main hypotheses and four sub-hypotheses. To test the research hypotheses we have made use of a questionnaire being distributed among the population. The population of this research includes all the experts and masters of Alvan Sabet Co. totally being 47 in number. Regarding limitation in population size we have used census method in this research. We\'ve made use of descriptive statistics technique to analyze demographic variables while to investigate the hypotheses, we have used Pearson Solidarity Test and Spearman. The result show that the correlation between the transformational leadership style and knowledge management has been 0.784 which is considerably high.

In this study, the wind speed characteristics and energy potential in three selected locations in the southeastern\npart of Nigeria were investigated using wind speed data that span between 24 and 37 years and measured at a\nheight of 10 m. It was shown that the annual mean wind speed at a height of 10 m for Enugu, Owerri and Onitsha\nare 5.42, 3.36 and 3.59 m/s, respectively, while the annual mean power densities are 96.98, 23.23 and 28.34 W/m2,\nrespectively. It was further shown that the mean annual value of the most probable wind speed are 5.47, 3.72 and\n3.50 m/s for Enugu, Owerri and Onitsha, respectively, while the respective annual value of the wind speed carrying\nmaximum energy are 6.48, 4.33 and 3.90 m/s. The performance of selected commercial wind turbine models (with\nrated power between 50 and 1,000 kW) designed for electricity generation and a windmill (rated power, 0.36 kW)\nfor water pumping located in these sites was examined. The annual energy output and capacity factor for these\nturbines, as well as the water produced by the windmill, were determined. The minimum required design\nparameters for a wind turbine to be a viable option for electricity generation in each location are also suggested

Prostate cancer is a form of cancer that develops in the prostate gland of male reproductive system. Most prostate cancers are slow growing,but in some aggressive cancers the cancer cells may spread from prostate to other parts of the body like bones and lymp nodes.Increased attention is drawn towards the early detection of cancer cells to decrease the severity of the disease.For the diagnosis and analysis of prostate cancer, invasive and non-invasive methods play a major role in the medical field. Invasive methods like Prostate specific antigen (PSA) and gleason score testing with Trans rectual ultrasound(TRUS) and Digital rectal examination(DRE) are used for early detection of prostate cancer. Imaging techniques like Ultra-sonography(US),Magnetic resonance imaging(MRI) , Computed tomography(CT) and Functional Magnetic Resonance Imaging(FMRI)are non-invasive methods used for the diagnosis of prostate cancer.This paper presents a discussion on causes,symptoms,with classification of its types and basic computer aided non-invasive techniques for the diagnosis and analysis of prostate cancer.

Many environmental problems such as: negative effects on aquatic life, destruction of aquatic ecosystems, soil pollution, reducing the oxygen level in the water absorption through skin contact, brain damages, damage to the Central Nervous System (CNS) and joints, eye damage, toxicity, etc., have been reported related with EG. In this study, ozone as an advanced oxidation method was used for the treatment of EG containing wastewaters. For this purpose, the impact of contact time and pH variations on EG removal by ozonation at two level including low and high concentration (low= 5, 10, 20, 50, 100 and high=500, 750, 1000, 1500 mg/L) were examined. An EG removal kinetic analysis was determined based on removal rates via several ozonation times. At concentrations of 10, 20 and 50 mg/L after 180 minutes, removal of EG were achieved 93.31, 89.96, and 85.01 % respectively. Increasing pH has a direct impact on system efficiency and maximum efficiency corresponds to a concentration of 1500 mg/L 20.26 % was observed. Very good correlation coefficients at this kinetic study at all concentrations, investigated that EG removal will follow the first-order kinetics. Increasing and decreasing pH has a dramatic effect on the efficiency of the system, so that the efficiency increases significantly at alkaline pH. According to the results ozone system can be an excellent option for EG containing wastewater treatment.

In Domestic Wind Machines, if the wind speed is low, the output voltage is not sufficient to charge the battery as it is lower than the rated charging voltage of the battery. This limits the overall efficiency of the Wind Machine to 20%. This paper proposed to design and develop a Fuzzy Logic controller (FLC) for the effective utilization of the wind machine .By implementing a FLC based Buck Boost converter, the voltage produced at the lower wind speeds can also be utilized effectively by boosting it to the rated charging voltage of the battery. Also if the wind speed is high (>14 m/s), the DC output voltage will increase to more than 65 V. The converter bucks this high voltage to the nominal battery charging voltage (52 V), thereby protecting the battery from over charging voltage. Thus effective utilization of the wind machine has been achieved by the use of the proposed Buck Boost Controller.

Human Activities Recognition refers to any activities recognized via computer or system, for understanding behaviors of human automatically to be useful in many application, Human Activities Recognition in still image work within many stages such as ( reading image, foreground extraction (segmentation) , feature extraction, and classification ). Feature extraction is most important stage, our contribution here is to extract new features within chain code method and then find similarity among activities through extract 10 extra features such as (8- connected, number of bends, and length of vector of chain code) during these features we can get recognition rate a round 92% this rate is the best when we bench mark with previous researches.