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This article discusses issues related to the scientific and methodological problems of the acceptance of the machines for repair and their solutions. The production process of machinery repair is a set of human actions and manufacturing instruments, performing in a certain sequence and providing recovery, serviceability and full (or near full) resource products. It consists of a series of technological processes. External cleaning, washing and inspection repair is among the most important technological reconditioning processes. During the period of Russia's regional associations and specialized departments "Agricultural machinery" all tractors, automobiles, appliances and machines when accepting in the overhaul or issuing from it had to met the "technical specifications for delivery in overhaul and the issuance from the overhaul of tractors and self-propelled chassis, engines, their units and assemblies" (TU 70-260-71). The machine must be complete. At present, the institutional conditions of delivery vehicles and other mechanisms for repair in the technical service has changed substantially. However, technical requirements cannot and should not be significant changed, since the conditions of vehicles operating mechanism and require the highest quality as the machine as a whole and its parts. The article considers the basic requirements and ways to optimize the process of acceptance in the repair of vehicles through the example of special-purpose vehicles as part of their technical service.

Summary: Nucleotide Similarity Scanner (NSimScan) is specialized for searching massive DNA databases for distant similarities. Its targeted applications include phylogenomics, comparative and functional studies of non-coding sequences, contamination detection, etc. NSimScan outperforms industry standard tools in combined sensitivity, accuracy and speed, operating at sensitivity similar to BLAST, accuracy of ssearch and speed of MegaBLAST. Availability and implementation: NSimScan is available at https://github.com/abadona/qsimscan as a part of QSimScan package. It is implemented in C ++, distributed under MIT license and supported on Linux, OS X and Windows (with cygwin). Contact: dkaznadzey@yahoo.com Supplementary information: Supplementary data are available at Bioinformatics online.

In the era of metagenomics and diagnostics sequencing, the importance of protein comparison methods of boosted performance cannot be overstated. Here we present PSimScan (Protein Similarity Scanner), a flexible open source protein similarity search tool which provides a significant gain in speed compared to BLASTP at the price of controlled sensitivity loss. The PSimScan algorithm introduces a number of novel performance optimization methods that can be further used by the community to improve the speed and lower hardware requirements of bioinformatics software. The optimization starts at the lookup table construction, then the initial lookup table-based hits are passed through a pipeline of filtering and aggregation routines of increasing computational complexity. The first step in this pipeline is a novel algorithm that builds and selects 'similarity zones' aggregated from neighboring matches on small arrays of adjacent diagonals. PSimScan performs 5 to 100 times faster than the standard NCBI BLASTP, depending on chosen parameters, and runs on commodity hardware. Its sensitivity and selectivity at the slowest settings are comparable to the NCBI BLASTP's and decrease with the increase of speed, yet stay at the levels reasonable for many tasks. PSimScan is most advantageous when used on large collections of query sequences. Comparing the entire proteome of Streptocuccus pneumoniae (2,042 proteins) to the NCBI's non-redundant protein database of 16,971,855 records takes 6.5 hours on a moderately powerful PC, while the same task with the NCBI BLASTP takes over 66 hours. We describe innovations in the PSimScan algorithm in considerable detail to encourage bioinformaticians to improve on the tool and to use the innovations in their own software development.