this study investigated the status of mechanized power and self-propelled rice cultivation machinery in guilan province in northern iran. the raw data was obtained from 2013 statistics of the agricultural jihad organization of guilan province. power per unit of area, mechanization level, area per unit of self-propelled machinery, and mechanization requirement were calculated for eastern, wester...

Purpose: To examine the necessity of conducting measures to strengthen main trackbed railway tracks in order reduce impact track repairs on infrastructure, ensure and enhance carrying capacity lines. demonstrate need increase output high-quality leading machines using closed-loop technology, as well propose additional aimed at optimizing number personnel involved production process. Methods: A ...

What we have learnt in the last six or seven decades about virtual machinery, as a result of a great deal of science and technology, enables us to offer Darwin a new defence against critics who argued that only physical form, not mental capabilities and consciousness could be products of evolution by natural selection. The defence compares the mental phenomena mentioned by Darwin’s opponents wi...

What we have learnt in the last six or seven decades about virtual machinery, as a result of a great deal of science and technology, enables us to offer Darwin a new defence against critics who argued that only physical form, not mental capabilities and consciousness could be products of evolution by natural selection. The defence compares the mental phenomena mentioned by Darwin’s opponents wi...

One of the most important challenges when building road infrastructure is selection appropriate mechanization, on which efficiency construction and life exploitation depends largely. As machinery, pavers occupy a significant place in civil engineering projects, so their selection, depending category, very activity. The objective this paper to develop an intelligent Fuzzy MCDM (Multi-Criteria De...

We propose the Bayesian adaptive Lasso (BaLasso) for variable selection and coefficient estimation in linear regression. The BaLasso is adaptive to the signal level by adopting different shrinkage for different coefficients. Furthermore, we provide a model selection machinery for the BaLasso by assessing the posterior conditional mode estimates, motivated by the hierarchical Bayesian interpreta...

Feature selection is one of the most pervasive problems in pattern recognition. It can be posed as a multiobjective optimisation problem, since, in the simplest case, it involves feature subset cardinality minimisation and performance maximisation. In many problem domains, such as in medical or engineering diagnosis, performance can more appropriately be assessed by ROC analysis, in terms of cl...

The extraordinary fidelity, sensory and regulatory capacity of natural intracellular machinery is generally confined to their endogenous environment. Nevertheless, synthetic bio-molecular components have been engineered to interface with the cellular transcription, splicing and translation machinery in vivo by embedding functional features such as promoters, introns and ribosome binding sites, ...