The datasets on gene expression are the valuable source of information about functional state an organism. Recently, we have acquired large dataset segmentation genes in Drosophila blastoderm. To provide efficient access to data, developed FlyEx database (http://urchin.spbcas.ru/flyex). contains 4716 images 14 patterns obtained from 1579 embryos and 9 500 000 quantitative data records. Reference available for all cycles 11–13 temporal classes cycle 14A. supports operations patterns. can be...

Abstract Motivation: To create a spatiotemporal atlas of Drosophila segmentation gene expression at cellular resolution. Results: The genes plays crucial role in the establishment body plan. Using IBM DB2 Relational Database Management System we have designed and implemented FlyEx database. contains 2832 images 14 patterns obtained from 954 embryos 2 073 662 quantitative data records. averaged is available for most eight time points. supports operations on patterns. database can be used to...

Introduction We have demonstrated that transposons derived from ctDNA can be transferred between cancer cells. The present research aimed to investigate the cellular uptake and intracellular trafficking of Multiple Myeloma-zip code (MM-ZC), a cell-specific zip code, in myeloma cell lines. MM-ZC by cells was concentration-, time- cell-type-dependent. Methods Flow cytometry confocal microscopy methods were used identify level internalization codes MM To screen for mechanism internalization, we...

The article discusses the development of thematic ontology for use in educational process. We propose a method automated thesauri using web editor "OntoMASTER-ontology".

Quantitative measurements derived using sophisticated microscopy techniques are essential for understanding the basic principles that control behavior of biological systems. Here we describe a data pipeline developed to extract quantitative on segmentation gene expression from confocal images patterns in Drosophila . The consists image segmentation, background removal, temporal characterization an embryo, registration, and averaging. This has been successfully applied obtain at cellular...

The aim of the research is to develop students learning process intellectual support system with implementation active Internet technologies and cognitive tools. methods, information computing resources are developed so as meet challenges network management use knowledge engineering data texts analysis, automatic text processing, content structuring in blended environment.

The ontological approach to the creation of learning process support systems is proposed. We research method for automated ontologies based on computational linguistics algorithms, analysis lexical-semantic fields corps texts in Russian and English, frequency dictionaries terms. Using lexical database WordNet terminological prototype ontology was developed uploaded into software tool "OntoMASTER-Ontology" refining by experts. used creating students field "Information technologies".

Abstract Motivation: A new method is developed to query a relational database in natural language (NL). Results: The method, based on semantic approach, interprets grammatical and lexical units of into concepts subject domain, which are given conceptual scheme. scheme mapped formally onto the logical We applied FlyEx language. contains information expression segmentation genes Drosophila melanogaster. allows formulation queries various languages simultaneously, adaptive changes knowledge...

Probabilistic methods of the automated formation dynamic thesauri are considered on basis algorithms for processing, analyzing and classifying linguistic resources a very large volume from heterogeneous data sources in application to support systems learning processes. implemented software tool "Ontomaster-Ontology". An essential feature implementation is provision processing volumes sources. have been applied thematic text corpora Russian English languages, extraction terms subject domains,...

The ontological approach to the creation of learning process support systems is proposed. We research method for automated construction ontologies based on computational linguistics algorithms, analysis lexical-semantic fields text corpora in Russian and English, frequency dictionaries terms. prototype ontology developed using lexical database WordNet terminological uploaded into "OntoMASTER-Ontology" software tool editing by experts. used constructing students field "Information technologies".

We propose a method for the automated monitoring of multiple sources data on professional market needs to form thesauri and ontologies domains that are used in educational process. research construction learning based computational linguistics algorithms, analysis lexical-semantic fields texts corpora Russian English, frequency dictionaries terms. use lexical database WordNet terminological design prototype ontology developed uploaded into software tool "OntoMASTER-Ontology" refining by...

Software environment OntoMASTER is designed to support research process in the field of education. We use dynamic processes learning, knowledge, models and intelligent software agents. Current objective develop an integrated environment. It necessary implement intellectual function. For training it also methodological support. The tool based on object-oriented analysis modeling information systems. methods formalization representation conceptual modeling, techniques ontological analysis,...

The structure of the knowledge base is based on ontologies domain, combining methods and algorithms for processing hydroacoustic signals video images. To create a complex an integrated web-environment used that combines tools editors WebProtégé (the environment collaborative development ontologies) OntoMASTER (graphic ontology editor). In description ontologies, OWL-DL language used. field "hydroacoustics" contains formal concepts subject domain hydroacoustics, their definitions, examples...

The article proposes tools for the creation and execution of scenarios processing data mining in multi-agent environment. hybrid database information resources is developed, methods models, ontologies extracting web environment also proposed. Metadata describes machine learning related to regression analysis classification based on Bayesian theorem, decision trees, support vector machines, convolutional neural networks, other. Examples research scenarios, including video images signals,...

The paper presents a cognitive approach to evaluating the effectiveness of operators work in solving test problems structure intelligent interfaces. insufficiently effective implementation human-machine interfaces (HMI) real-time systems is one main risk factors that affect errors and reduce quality decisions made by operators. Research optimization operator interaction with spatio-temporal data order response time possible threats improve accuracy an urgent task. report proposed new...

In conditions of a mass character higher education, the problems student identification are relevant because differences in contingent students terms level training, personal and cognitive characteristics. The learning process is characterized by presence uncertainty factors, which requires modeling control application methods tools adaptive prediction trajectories students' learning. A method has been developed for sequential refinement learning, taking into account individual

Developed a method for computer analysis of the microparticles motion parameters along trajectories, based on proposed A. Vavilov principle consistent disclosure structural, parametrical and signal uncertainty. Signal uncertainty is caused by instrumental methodological errors in localization position trajectories resulting from image processing. The difference types particles leads to need consider several structures models: free, anomalous or confined diffusion, directed motion, etc....

The productivity of intellectual activity in any professional field is characterized by the accuracy decision-making and reaction time. When analyzing these characteristics, features information-rich electronic environment are taken into account, particular educational, scientific activities, which there information content visual uncertainty. consequence presence uncertainty stimuli an increase cognitive load, can lead to errors perception a person. paper proposes method for automated...

Abstract Pancreatic ductal adenocarcinoma (PC) is the fourth most common cancer-related cause of death in Western countries. It projected that PC will become second prevalent mortality by year 2030. Although chemotherapy may offer certain advantages to those who have been diagnosed with pancreatic cancer, its effectiveness notably constrained emergence chemoresistance and excessive toxicity. In recent studies, it has established circulating tumor DNA (ctDNA) serves as a mechanism for...

The aim is to develop a method of computer analysis stochastic trajectories dynamical systems, based on the proposed by member. cor. USSR Academy Sciences A.A. Vavilov principle consistent disclosure topological, structural, parametrical and signal uncertainties. Identification model parameters carried out using weighted least squares, modified weighting function basis solving inverse problem with constraints parameter values. For structural identification Akaike criterion used sum squared...