نتایج جستجو برای: b a s e d o p t i m i z a t i o n
تعداد نتایج: 15074177 فیلتر نتایج به سال:
siahe-e-samarghandi is one of the most important cultivars of grapevine (vitis vinifera) in fars province. some problems of this cultivar are its sparse clusters with small berries and berries that are in different stages of growth. foliar application of urea, zinc sulfate, boric acid 4, 3 and 1gl-1, respectively as well as sodium molybdate at the concentrations of 0, 0.5, 1 and 1.5 gl-1 were a...
in rainfed areas of iran, cereal yields are low, variable and mainly as a result of inadequate and erratic seasonal rainfall and associated management factor, such as late sowing date (or late crop germination). in order to investigate the effects of single irrigation and nitrogen on bread wheat (triticum aestivum l. var. sabalan) a field experiment was conducted as split plot arranged in a ran...
a new and efficient method has been developed for the synthesis of 4-aryl-7-benzylidene-1,3,4,5,6,7-hexahydro-2h-cyclopenta[d]pyrimidin-2-ones through biginelli-like reaction of cyclopentanone, with urea/thiourea and aromatic aldehyde employing p-dodecylbenzenesulfonic acid (dbsa) as a recyclable catalyst under solvent-free condition. the recovered catalyst was recycled for further runs. the pr...
background and objectives: soybean (glycine max l.) is the most important oil crop having the largest area under cultivation in the world. every year, water stress causes great damages on crops in the world, particularly in iran with arid and semi-arid climate so application of materials such as zeolite in soil can reduce the adverse effects of water stress. however, the effect of zeolite in in...
normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 background: one of the major steps for planning and making polices in iranian health and health service sector is to gain information on the condition of such services in each province. thus, the present study intended to determine the degree of development and ranking of provinces at this sector. it can identify the undev...
in this study two intelligent systems, based on adaptive neuro-fuzzy inference systems (anfis) and artificial neural networks (anns) of forecasting municipal solid wastes (msw) generation has been proposed. anfis and anns as an intelligent tool compared with together was used to monthly prediction of msw generated in tehran. monthly amount of solid wastes (sw), total monthly precipitation, mont...
global warming and climate change have drawn special attention to soil and its potential for stable carbon sequestration. soils are the largest stores of carbon in terrestrial carbon cycle and contain about three times more carbon than vegetation cover and two times more than that of atmosphere. studying the effects of grazing on soil carbon storage is important because of the major role soil o...
effects of different paclobutrazol concentrations (0, 250, 350 and 450 mgl-1) and plantlet density (80, 100 and 120 plantlet/m2) on minituber production per plantlet in potato cultivar ‘sante’ were investigated in a factorial experiment based upon a randomized complete block design of 4 replications. paclobutrazol (cultar with 250 g/l of active ingredient) was used as foliar application at earl...
in order to investigate the effects of municipal waste compost and benefit fungi of trichoderma species on seedling emergence parameters, growth and some micronutrients uptake of garden cress a pot experiment was carried out in factorial arrangement based on randomized complete block design with 3 replications. treatments consisted of three levels of municipal waste compost (15, 30, 45 mg ha-1 ...
the aim of this study was to optimize protease production using a novel bacillus sp. zr-5 strainisolated from the soil, and evaluate its application in detergent industry. the proteolytic activityof the strain was demonstrated using gelatin hydrolysis screening test. protease productionoptimization was carried out using a two-step approach: a conventional method in order toidentify the best car...
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