The aim of the work is an experimental and numerical investigation interaction between pulse volume discharge with a high-speed flow in rectangular profiled channel (obstacle on bottom wall). special type combined discharge—pulse preionization by ultraviolet radiation from plasma sheets—is used. around obstacle influences distribution. short-pulse initiation high power leads to effects observab...

Broaching is commonly used for machining fir tree slots on turbine disk, which has outstanding advantages and disadvantages, such as high-quality machined surface, high manufacturing accuracy, productivity well fast tool wear, extremely processing costs, long preparation time, poor process flexibility. Utilizing the electroplated cubic boron nitride (CBN) profiled grinding wheels single-sided l...

Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixedand random-effects terms. The formula and data together determine a numerical repr...

We developed "fractionation profiling," a method for rapid proteomic analysis of membrane vesicles and protein particles. The approach combines quantitative proteomics with subcellular fractionation to generate signature protein abundance distribution profiles. Functionally associated groups of proteins are revealed through cluster analysis. To validate the method, we first profiled >3500 prote...

Since 1947 and Siegfried Kracauer’s seminal From Caligari to Hitler: A Psychological History of the German Film, Weimar Film Studies has been dominated by discussions on representation power, which only recently begun fall away. This article breaks away from this tradition contributes a new range approaches cinema, centre upon figures belonging group that largely excluded existing narrative: ‘t...

Linear mixed-effects models are an important class of statistical models that are used directly in many fields of applications and are also used as iterative steps in fitting other types of mixed-effects models, such as generalized linear mixed models. The parameters in these models are typically estimated by maximum likelihood (ML) or restricted maximum likelihood (REML). In general there is n...