Automation of Archival Documents Meta Tagging

The main goal of this project is to create a corpus of documents from the «Mikhailovsky stanichny ataman» archival fund. The methods of corpus linguistics seem to be the most optimal in this case, since they involve the processing of a large number of texts in order to solve a wide variety of linguistic problems. Our group joined the team of philologists to provide the technical and software part of the project. The main task for us is to create a document corpus engine, that is, software that solves the tasks of storing a database of marked-up texts, executing queries to this database, and also providing users with a convenient interface for work that does not require special qualifications in the field of information technology. However, it is necessary to prepare documents for inclusion in the corpus: all texts must undergo special markup. There are many types of markup, and in the previous publications [6; 9] our group has already described the solution to the problem of morphological tagging. This article is about meta tagging. Meta tagging refers to the assignment of certain descriptive attributes to text. In the case of office documents, these are such parameters as the type of document (genre), author (compiler), addressee, date and place of creation. Meta tagging is necessary for the implementation of the corpus search features, so that the researchers can receive text samples with specified external parameters: for example, texts of a certain type, created at a certain period, addressed to a certain addressee, etc. The archives of the «Mikhailovsky stanichny ataman» fund mainly contain documents from the Chanceries of the Don Army from the mid-18th to the first third of the 19th century, that’s why there are not so many varieties of these documents. Moreover, these are mostly official documents, and they were written up according to certain templates, forms, the parameters of which can be relatively easily extracted from documents through preliminary analysis. This work is also carried out by the team of philologists from VolSU under the guidance of Professor O.A. Gorban. The result of their systematization of documents was the description of special speech markers of genre parameters for all document types in the archive. Thus, in our case, there is no need for heavy methods of statistical analysis or machine learning, it is enough to search for certain markers in the document. Moreover, the main marker in all reviewed documents is a direct indication of their type. Other markers are auxiliary elements of meta tagging. The paper is devoted to the description of the created application for determining the type of a document and its meta tagging by searching the text for certain regular expressions derived from the markers.

Database construction for Vietnamese catfish genome

Molecular biological research plays an important role in aquaculture, contributes to the improvement ofbroodstocks efficiently. Recently, with the development of next-generation sequencing (NGS) technology,genomic studies have been rapidly increased, in which data organisation and management hold a crucialposition. After obtaining NGS sequencing data of Vietnamese catfish (Pangasianodon hypophthalmus), wehave analysed and annotated the catfish genome, from which we have constructed a database for efficientusage. The database is built upon open source software following a three-layer model (interface, Web serviceand database) with a convenient interface through Web browsers. Users can look up sequence and annotationdata as well as visualize sequences through the Jbrowse genome browser. This database is important resourcefor functional genome and genetic improvement of the catfish.

Visual reconstruction technological operations 3D-model of railway station

The article discusses the problems of visual reflection of station processes ensuring the development of a dynamic 3D model of a railway station adequate to reality. This model is based on rhythms of the animated structure of objects functioning in accordance with physics of real events and technological requirements of the regulation.This structure makes it possible to form an environment for modeling and forecasting short-term and medium-term operational prospects for train station. The effectiveness of this environment depends on the detailing of individual movements of cars and locomotives along tracks and necks taking into account the hostility of routes, limited resources, etc.Purpose of this article is to determine the composition of technological operations, which will provide a reliable display of the dynamics of station processes without too much detail. The dispatcher’s work with such a system will be comfortable, based on a convenient interface with information shell. Man-machine architecture of the information physical model of the station will allow you to create a full-fledged computer animation that displays technological processes in the space of events alternative to the real world.

Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments

Task-oriented dialogue systems provide a convenient interface to help users complete tasks. An important consideration for task-oriented dialogue systems is the ability to against the noise commonly existed in the real-world conversation. Both rule-based strategies and statistical modeling techniques can solve noise problems, but they are costly. In this paper, we propose a new approach, called Dynamic Reward-based Dueling Deep Dyna-Q (DR-D3Q). The DR-D3Q can learn policies in noise robustly, and it is easy to implement by combining dynamic reward and the Dueling Deep Q-Network (Dueling DQN) into Deep Dyna-Q (DDQ) framework. The Dueling DQN can mitigate the negative impact of noise on learning policies, but it is inapplicable to dialogue domain due to different reward mechanisms. Unlike typical dialogue reward function, we integrate dynamic reward that provides reward in real-time for agent to make Dueling DQN adapt to dialogue domain. For the purpose of supplementing the limited amount of real user experiences, we take the DDQ framework as the basic framework. Experiments using simulation and human evaluation show that the DR-D3Q significantly improve the performance of policy learning tasks in noisy environments.1

Dirac-based solutions for JUNO production system

The JUNO (Jiangmen Underground Neutrino Observatory) Monte Carlo production tasks are composed of complicated workflow and dataflow linked by data. The paper will present the design of the JUNO production system based on the DIRAC transformation framework to meet the requirements of the JUNO Monte Carlo production activities among JUNO data centres according to the JUNO computing model. The approach allows JUNO data-driven workflow and dataflow to be chained automatically with availability of data and also provides a convenient interface for production groups to create and monitor production tasks. The functions and performance tests for evaluating the prototype system would be also presented in the paper.

Webina: An Open-Source Library and Web App that Runs AutoDock Vina Entirely in the Web Browser

1AbstractMolecular docking is a computational technique for predicting how a small molecule might bind a macromolecular target. Among docking programs, AutoDock Vina is particularly popular. Like many docking programs, Vina requires users to download/install an executable file and to run that file from a Unix- or DOS-like command-line interface. Choosing proper configuration parameters and analyzing Vina output is also sometimes challenging. These issues are particularly problematic for students and novice researchers. We have created Webina, a new version of Vina, to address these challenges. Webina is a JavaScript/WebAssembly library that runs AutoDock Vina entirely in a web browser. To use Webina, users need only visit a Webina-enabled webpage. The docking calculations take place on the user’s own computer rather than a remote server. To encourage use, we have incorporated the Webina library into our own Webina web app. The app includes a convenient interface so users can easily setup their docking runs and analyze the results. Webina will be a useful open-source tool for the research and educational communities. A working version of the app can be accessed free of charge from http://durrantlab.com/webina.

Automation of Morphological Tagging of Archival Documents

The paper provides the description of the add-on to the stemming tool MyStem by I. Segalovich. We designe the application to add the MyStem a convenient graphical interface that is easy to learn and intuitive for users who do not specialize in information technology. It turned out that MyStem correctly processes outdated vocabulary if it is passed into the program using modern Cyrillic. In addition to the convenient interface, our program has the option to work with the outdated Cyrillic alphabet, when turned on, for instance, the letters zelo and omega are being replaced by «ks» and «o» respectively, and only then the text is transferring for analysis to MyStem, and then the characters are being replaced back in the processed document. So our add-on intercepts the output of the MyStem tool, reformatts and analyzes it in a special way. In addition, the application has functionality for removing homonyms manually if the program was not correct with automatic tagging the morphological characteristics of a word. The main purpose of this application is to prepare the morphological tagging of documents of the archival fund «Mikhailovsky Stanichny Ataman» to create a linguistic corpus. During the work on the application, we solved the problem with the correct processing of texts containing outdated Cyrillic characters. To implement the functional and user-friendly graphical interface, we use the JavaFX platform (OpenJFX).

PhaSepDB: a database of liquid–liquid phase separation related proteins

It's widely appreciated that liquid–liquid phase separation (LLPS) underlies the formation of membraneless organelles, which function to concentrate proteins and nucleic acids. In the past few decades, major efforts have been devoted to identify the phase separation associated proteins and elucidate their functions. To better utilize the knowledge dispersed in published literature, we developed PhaSepDB (http://db.phasep.pro/), a manually curated database of phase separation associated proteins. Currently, PhaSepDB includes 2914 non-redundant proteins localized in different organelles curated from published literature and database. PhaSepDB provides protein summary, publication reference and sequence features of phase separation associated proteins. The sequence features which reflect the LLPS behavior are also available for other human protein candidates. The online database provides a convenient interface for the research community to easily browse, search and download phase separation associated proteins. As a centralized resource, we believe PhaSepDB will facilitate the future study of phase separation.

The Role of the Parallel Corpus in Linguistics, the Importance and the Possibilities of Interpretation

Convenient interface and search engine in the language corpus serves as an object of research. The development of corpus linguistics has become the basis for the development of language awareness, linguistic competence, philological sciences and technology. The research is mostly based on the analysis of parallel corpus and its possibilities in Uzbekistan.