Analysis of the system of automatic change modes of the hardware-software complex of training of invalids of sight of Braille

The object of research is the hardware-software complex of learning Braille. The research is aimed at the analysis of the use of the system of automatic change of modes of the hardware-software complex depending on the results of the user’s tasks. As part of the development of the project for the implementation of hardware and software for the training of the visually impaired in Braille, there is a need to analyze the operation of the updated control system for the order of output of letters. The solution was a software bridge that connects devices to a remote database server via smartphones, where learning results are stored. To solve this problem, the algorithm for changing the modes of letter output was modified, the module of connection of the hardware and software complex with the phone was implemented, the file structure for information transfer to the database was developed. After the introduction of updates in the hardware and software complexes of users, an analysis of the training was conducted. Statistics were collected according to the following parameters: selected language, type of game, correct and user answers, mode of output of letters, date-time of answer and operation of changing of the mode of output of letters. The analysis used data on the first and last states of the mode of output of letters for one day without reference to games and languages. The research was conducted over 30 calendar days for 100 users, but the data were reduced to 15 days, as some users were not study every day, and the day of study was taken. The research showed a tendency to change learning to groups of letters of the highest complexity. Less than a third of users stayed at the first level, which provides for the next update of the software to collect data on the age of the user, because children under 5 years do not learn the letters of the third group of complexity.

SLOW5: a new file format enables massive acceleration of nanopore sequencing data analysis

Nanopore sequencing is an emerging genomic technology with great potential. However, the storage and analysis of nanopore sequencing data have become major bottlenecks preventing more widespread adoption in research and clinical genomics. Here, we elucidate an inherent limitation in the file format used to store raw nanopore data – known as FAST5 – that prevents efficient analysis on high-performance computing (HPC) systems. To overcome this we have developed SLOW5, an alternative file format that permits efficient parallelisation and, thereby, acceleration of nanopore data analysis. For example, we show that using SLOW5 format, instead of FAST5, reduces the time and cost of genome-wide DNA methylation profiling by an order of magnitude on common HPC systems, and delivers consistent improvements on a wide range of different architectures. With a simple, accessible file structure and a ~25% reduction in size compared to FAST5, SLOW5 format will deliver substantial benefits to all areas of the nanopore community.

SLOW5: a new file format enables massive acceleration of nanopore sequencing data analysis

Nanopore sequencing is an emerging genomic technology with great potential. However, the storage and analysis of nanopore sequencing data have become major bottlenecks preventing more widespread adoption in research and clinical genomics. Here, we elucidate an inherent limitation in the file format used to store raw nanopore data, known as FAST5, that prevents efficient analysis on high-performance computing (HPC) systems. To overcome this we have developed SLOW5, an alternative file format that permits efficient parallelisation and, thereby, acceleration of nanopore data analysis. For example, we show that using SLOW5 format, instead of FAST5, reduces the time and cost of genome-wide DNA methylation profiling by an order of magnitude on common HPC systems, and delivers consistent improvements on a wide range of different architectures. With a simple, accessible file structure and a ~25% reduction in size compared to FAST5, SLOW5 format will deliver substantial benefits to all areas of the nanopore community.

listenToMe instead of Readme file

Abstract— Readme file is a short document associated with most open source software (OSS), it provides useful information about the software. Software developers use different structure when documenting their software, accordingly there were many attempts to uniform the structure of readme file as this file is the main file most user read and help the user to decide upon using the software or not .In this paper we suggest using audio format for readme file (ListenToMe) to do so we used 100 GitHub repositories as a dataset. Extracting commits from it results in 326793 messages. Next, commits regarding documentation have been isolated for further analysis. Finally, we observe the structure of readme file and the number of key attributes used. The result shows that Github developers did not committee to the general Readme file structure suggested by literature[17]. Most developers will not save time to write documentation, thus we suggest an audio version of Readme file. Also structures for the ListentoMe file have been proposed to bridge the gap in documentation structures. To evaluate our suggestion, we conduct aquestionnaire targeting software developers in GitHub for feedbacks. The questionnaire results shows that more than 70% of developers prefer ListentoMe (audio version of ReadMe) , they mostly agreed about the suggested ListentoMe structure.

Code fusion information-hiding algorithm based on PE file function migration

PE (portable executable) file has the characteristics of diversity, uncertainty of file size, complexity of file structure, and singleness of file format, which make it easy to be a carrier of information hiding, especially for that of large hiding capacity. This paper proposes an information-hiding algorithm based on PE file function migration, which utilizes disassembly engine to disassemble code section of PE file, processes function recognition, and shifts the whole codes of system or user-defined functions to the last section of PE file. Then it hides information in the original code space. The hidden information is combined with the main functions of the PE file, and the hidden information is coupled with the key codes of the program, which further enhances the concealment performance and anti-attack capability of the system.

Development of a substorms catalog including the MPB observed at Panagjurishte station, Bulgaria

In this work the first results of the creation of a substorms catalog including the mid-latitude positive bays (MPB) registered at the Bulgarian station Panagjurishte (∼37° GMLat, ∼97° GMLon) are presented. MPB index characterizes the mid-latitude effect of substorm, which developed at auroral latitudes, and it is associated with the substorm current wedge. The work went in several lines. First, the catalog design and content were taken. Second, tools of data processing have been developed. Third, substorms during two months, namely January and February 2013 were identified. And finally, data processing was implemented and the characteristics of the positive bays were determined. The obtained data and their visualizations were put in a convenient folder and file structure, ftp positioned.

The Gene Ontology resource: enriching a GOld mine

The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations.