Defining a realistic control for the chloroform fumigation-incubation method using microscopic counting and 14C-substrates

Measurement of microbial biomass N:C by chloroform fumigation-incubation

Harris, D., Voroney, R. P. and Paul, E. A. 1997. Measurement of microbial biomass N:C by chloroform fumigation-incubation. Can. J. Soil Sci. 77: 507–514. We present a calculation for soil microbial biomass N:C ratio determined from a 10-d incubation following chloroform fumigation. The calculation is based on a mathematical model of the N content of the preand post-fumigation soil microbial bio...

Uncertainties in determining microbial biomass C using the chloroform fumigation–extraction method

buckling of viscoelastic composite plates using the finite strip method

در سال های اخیر، تقاضای استفاده از تئوری خطی ویسکوالاستیسیته بیشتر شده است. با افزایش استفاده از کامپوزیت های پیشرفته در صنایع هوایی و همچنین استفاده روزافزون از مواد پلیمری، اهمیت روش های دقیق طراحی و تحلیل چنین ساختارهایی بیشتر شده است. این مواد جدید از خودشان رفتارهای مکانیکی ارائه می دهند که با تئوری های الاستیسیته و ویسکوزیته، نمی توان آن ها را توصیف کرد. این مواد، خواص ویسکوالاستیک دارند....

Tillage Effects on Intracellular and Extracellular Soil Urease Activities Determined by an Improved Chloroform Fumigation Method

SoilScience • Volume 175, Number 11, November 2010 Urease is one of the most thoroughly studied soil enzymes because it greatly influences the fate and performance of a widely used fertilizer (urea) (Bremner and Mulvaney, 1978; Ma et al., 1999; Tate, 2002). Urea was reported to be taken up by microorganisms, such as Corynebacterium glutamicum and Paxillus involutus (Jahns and Kaltwasser, 1989; ...

A Method for Solving Optimal Control Problems Using Genetic Programming

This paper deals with a novel method for solving optimal control problems based on genetic programming. This approach produces some trial solutions and seeks the best of them. If the solution cannot be expressed in a closed analytical form then our method produces an approximation with a controlled level of accuracy. Using numerical examples, we will demonstrate how to use the results.