Information Resource Database Research Articles

RESEARCH ON GEOGRAPHIC INFORMATION DATA CIRCULATION SUPPORTS THE CONSTRUCTION OF DIGITAL CHINA

Abstract. Accelerating digital development and building a Digital China is an important engine for promoting Chinese-style modernization, which has become the development tone of the 14th Five-Year Plan period. The Overall Layout Plan for the Construction of Digital China clearly requires the improvement of the three-dimensional "One Map" of natural resources and the basic information platform of land and space, and the transformation of governance mode driven by digitalization. Giving full play to the value of geographic information data elements and comprehensively and effectively supporting national and local high-quality development has become an important topic for the construction of Digital China. Firstly, this paper expounds the connotation and application of geographic information data circulation. Secondly, it proposed the construction of geographic information data circulation system, designed the overall framework, basic requirements and technical indicators of geographic information data infrastructure and geographic information resource database, in order to better support the construction of Digital China. Thirdly, other aspects of geographic information data circulation that need to be paid attention to are given. It mainly includes geographic information data security and user location privacy issues aspects. Finally, the opportunities and challenges of geographic information data circulation are summarized.

Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain

Enterprises in the prefabricated building supply chain (PBSC) only share information according to their interests, which is bound to cause conflicts of interest and reduce the efficiency of supply chain operations. To promote information sharing (IS) in PBSC, it is necessary to construct an evolutionary game model that fits the realistic network. In this paper, based on the integration of existing research, 13 influencing factors of IS in PBSC are analyzed comprehensively from the perspective of information ecology theory. In addition, due to the complexity and uncertainty of the PBSC, enterprise interaction and supply chain network structure affect the IS decision. Therefore, this paper builds an evolutionary game model of IS in PBSC under a scale-free network, and conducts numerical simulation analysis with MATLAB 2017 software to analyze the evolution law of enterprise IS under different situations. The results show that (1) when the network scale is large, the density of information sharers generally increases, and the speed of network evolution to a steady state generally slows down; (2) eight factors can promote the increase in information sharers’ density, and five factors can inhibit it, but factors have no significant effect on the speed of network evolution to reach the steady state. Based on the simulation results, this paper proposes countermeasures and suggestions such as strengthening the support of the policy environment and social environment, setting up the demonstration benchmark of leading construction enterprises, establishing a directional information resource database, and improving information technologies and risk management systems to provide the scientific basis for government supervision and enterprise decision making.

Integrating consumer perspectives into a large-scale health literacy audit of health information materials: learnings and next steps

BackgroundHealth information is less effective when it does not meet the health literacy needs of its consumers. For health organisations, assessing the appropriateness of their existing health information resources is a key step to addressing this issue. This study describes novel methods for a consumer-centred large-scale health literacy audit of existing resources and reflects on opportunities to further refine the method.MethodsThis audit focused on resources developed by NPS MedicineWise, an Australian not-for-profit that promotes safe and informed use of medicines. The audit comprised 4 stages, with consumers engaged at each stage: 1) Select a sample of resources for assessment; 2) Assess the sample using subjective (Patient Education Materials Assessment Tool) and objective (Sydney Health Literacy Lab Health Literacy Editor) assessment tools; 3) Review audit findings through workshops and identify priority areas for future work; 4) Reflect and gather feedback on the audit process via interviews.ResultsOf 147 resources, consumers selected 49 for detailed assessment that covered a range of health topics, health literacy skills, and formats, and which had varied web usage. Overall, 42 resources (85.7%) were assessed as easy to understand, but only 26 (53.1%) as easy to act on. A typical text was written at a grade 12 reading level and used the passive voice 6 times. About one in five words in a typical text were considered complex (19%). Workshops identified three key areas for action: make resources easier to understand and act on; consider the readers’ context, needs, and skills; and improve inclusiveness and representation. Interviews with workshop attendees highlighted that audit methods could be further improved by setting clear expectations about the project rationale, objectives, and consumer roles; providing consumers with a simpler subjective health literacy assessment tool, and addressing issues related to diverse representation.ConclusionsThis audit yielded valuable consumer-centred priorities for improving organisational health literacy with regards to updating a large existing database of health information resources. We also identified important opportunities to further refine the process. Study findings provide valuable practical insights that can inform organisational health actions for the upcoming Australian National Health Literacy Strategy.

The Use of Knowledge Correlation for Classification and Evaluation of a Distance Education Teaching Resource Database


 Teaching information resource database is an important part of distance education in schools. Understanding the classification and characteristics of teaching resources in teaching information resource database can help teachers to search teaching resources more pertinently and make better use of these resources in actual teaching. Therefore, this article studies the classification and evaluation of distance education teaching resource database based on knowledge network. Combining the LSTM model and the conditional random field model, the resource entities that the target resource design knowledge points refer to are extracted from the resource text string of the teaching resource database. The resource entities that the extracted knowledge point refer to are matched and correlated with other resource entities related to the knowledge point in the teaching resource database, so as to realize the link of resource entities in the teaching resource database based on the concept of knowledge points. Starting with the feature extraction of resource text, this article innovates the resource classification algorithm of teaching resource database, and shows the new algorithm flow of feature extraction of resource text. Experimental results verify the effectiveness of the model.

Electronic Information Archival Resources as a Source Base of Ukrainian Studies

The article substantiates the source value of electronic information archival resources for the development of the Ukrainian studies; reveals Ukrainian studies context of concepts “electronic source” and “information electronic resource”; tracks transformation of traditional Ukrainian studies as an integrated knowledge system and academic discipline into electronic format. It provides systematized information about information and reference apparatus, web portals, websites of the State Archival Service, central, industry and local archives, their electronic guidebooks, pointers, card-indexes; shows their role in methods of search and detection of documents of Ukrainian studies character.The article considers problems and characterizes meaningful contents of electronic information resources of central historical archives in Kyiv and Lviv, their importance for the study of ancient history of Ukraine, its princely and cossack hetman times, era of national and cultural revival, revolutions and wars. It highlights the central state electronic archives, archives of higher authorities and management, public associations, film and photo archives named after H. Pshenychnyi, archive-museum of literature and art, archives of Kyiv and regions from an angle of possible involvement of their documentary resources into the study of the key concenters of Ukrainian studies: Ukraine-ethnos, Ukraine-nature (ecology), Ukraine-language, Ukraine-nation, Ukraine-state, Ukraine-figures, Ukraine-culture, Ukraine-spirituality, Ukraine-mentality. It is emphasized that to figure out the concenter Ukraine-world, ultimately important are digitized personal funds of Ukrainian emigration activists, Ukrainian State Center and the UPR government in exile, collection of political documents, public and cultural associations in the diaspora stored in the Central State Archives of Foreign Ukrainian Studies. In view of the fact that the problems of historical memory, dramatic pages of the Ukrainian history related to mass repressions, famines, “shot revival”, terror of the communist regime, the Ukrainian resistance movement, the Sixties and dissidents, nationalist underground, activities of the OUN and the UPA take a significant place in the Ukrainian studies domain, documentary evidence, which was saved in paper, audiovisual and electronic formats in the sectoral state archives of the Security Service of Ukraine, Ministry of Internal Affairs, the Ukrainian Institute of National Remembrance, etc., gain more and more attention. The research distinguishes place and role in the structure of the Ukrainian studies source base of electronic information resources of social networks, Internet communities, including Facebook, YouTube, WhatsApp, Viber, Instagram, Twitter, Telegram, Messenger etc., which are global, dynamic and general in nature. It expresses a warning about the need for critical attitude towards information, gained from social networks, because they are often used for disinformation through fake posts, manipulation of consciousness, for compromising public figures, which was especially manifested in the context of Russia’s occupation-hybrid warfare against Ukraine, powerful information aggression, "war of stories", imposition of the “Russian World” paradigm.The conclusion substantiates that the formation of electronic Ukrainian studies, further involvement in the source database of electronic information resources facilitate the improvement of their role as a system of scientific knowledge and academic discipline.

Construction and Application of University Education Management Model Based on Intelligent Programming Analysis Method

The intelligent programming analysis system based on Internet has attracted more and more attention in the field of education management. The problem of how to flexibly master the application capabilities of intelligent programming and development tools, debugging and optimizing programs, and project deployment is becoming more and more serious. Based on the intelligent programming analysis method, this paper systematically introduces the research and design process of education management model and designs modules such as distributed parallel PhpDig, information analyzer, and information resource database. The system adopts client/middleware/server (C/M/S) three-tier architecture planning and design. The server-side carries the resource manager, the middleware carries the intelligent work tasks (information analyzer, resource collection agent), and the client implements user interaction and data representation solves the storage load problem of a large amount of data. The experimental results show that the semantic processing of search object attributes can improve the retrieval performance, and the retrieval rate and tolerance factor reach 87.6% and 0.041, respectively, which effectively promotes the integration of the analysis data on the chain level and the education system.

TVIR: a comprehensive vegetable information resource database for comparative and functional genomic studies.

Vegetables are an indispensable part of the daily diet of humans. Therefore, it is vital to systematically study the genomic data of vegetables and build a platform for data sharing and analysis. In this study, a comprehensive platform for vegetables with a user-friendly Web interface-The Vegetable Information Resource (TVIR, http://tvir.bio2db.com)-was built based on the genomes of 59 vegetables. TVIR database contains numerous important functional genes, including 5215 auxin genes, 2437 anthocyanin genes, 15 002 flowering genes, 79 830 resistance genes, and 2639 glucosinolate genes of 59 vegetables. In addition, 2597 N6-methyladenosine (m6A) genes were identified, including 513 writers, 1058 erasers, and 1026 readers. A total of 2 101 501 specific clustered regularly interspaced short palindromic repeat (CRISPR) guide sequences and 17 377 miRNAs were detected and deposited in TVIR database. Information on gene synteny, duplication, and orthologs is also provided for 59 vegetable species. TVIR database contains 2 346 850 gene annotations by the Swiss-Prot, TrEMBL, Gene Ontology (GO), Pfam, and Non-redundant (Nr) databases. Synteny, Primer Design, Blast, and JBrowse tools are provided to facilitate users in conducting comparative genomic analyses. This is the first large-scale collection of vegetable genomic data and bioinformatic analysis. All genome and gene sequences, annotations, and bioinformatic results can be easily downloaded from TVIR. Furthermore, transcriptome data of 98 vegetables have been collected and collated, and can be searched by species, tissues, or different growth stages. TVIR is expected to become a key hub for vegetable research globally. The database will be updated with newly assembled vegetable genomes and comparative genomic studies in the future.

The Development of an Ontology for Information Retrieval about Ethnic Groups in Chiang Mai Province

This study aims to develop the semantic ontology of information knowledge about ethnic groups by analyzing information from the collection of documentary sources from libraries, research, and the museum for learning about people on the highlands located in Chiang Mai Province. The study is based on the classification theory of ethnic groups in Chiang Mai Province with the intention of establishing the relationship between knowledge structure regarding ethnic groups. The study procedures consist of three stages: 1)Establishing ontology requirements from online data to analyze the data of the keyword from the research database of Chiang Mai University Library's Online Information Resource Database (OPAC) and Ratchamangkhalaphisek National Library, Chiang Mai to group the words by studying information resources in Thai language, such as books, textbooks, research papers, theses, research articles, academic articles, and reference books related to ethnic groups. Stage 2) Designing classes, defining main classes, subclasses, hierarchies, and properties in order to establish the relationship of data in each class using the Protégé program. Stage 3) Ontology evaluation, which is divided into two parts: an expert's evaluation of the suitability of the ontology structure using the Inter-Class Relational Accuracy Assessment Scale and an examination of ethnic grouping data. The findings reveal that specifying, definition, scope, and objectives of development are appropriate (average score = 0.97) in three areas: grouping and ordering of classes within the ontology (score value = 0.98), defining affinity names and class properties (score value = 0.96), and suitable overall ontology content (score value = 0.97).

Application of Mobile Information System Based on Internet in College Physical Education Classroom Teaching

With the continuous acceleration of China’s socialist process, the development of society has made a great leap forward. Mobile Internet is an emerging product of the integration of traditional Internet and mobile communication industries. At present, the industry has not yet reached a unified consensus on the concept of mobile Internet. This research mainly discusses the application of Internet-based mobile information system in college physical education classroom teaching. In order to adapt to the pace of social development and cultivate more intelligent, healthy, and noble students, the education cause also carries out continuous reform and innovation. New educational ideas and new educational methods have been attracting people’s attention. More and more people are pursuing higher education level. School education should not only pay attention to the progress of students’ academic performance and the sound personality quality, but also pay attention to the implementation of physical education and help students carry out appropriate physical exercise, so as to exercise students’ physique and make them realize the importance of physical exercise. As an important link in school physical education teaching, classroom teaching design has a very important influence on teaching quality and classroom teaching effect. For the Internet mobile information system, it can not only improve the ability of physical education teachers to control the teaching process, but also make the teaching objectives and content, teaching strategies and methods, and teaching evaluation formulated by physical education teachers more systematic, thus improving the teaching quality and professional development of physical education teachers. Abundant online teaching resources provide teachers with a powerful information resource database for lesson preparation and teaching. Learners can access teaching resources at any time through the Internet mobile information system. The Internet mobile information system provides a variety of file sharing methods for teachers and students to share physical education resources. Teachers and students forward and share teaching-related resources anytime and anywhere through the network platform, which not only helps to strengthen the students’ ability to collect and process information, but also strengthens the communication and cooperation between students through the sharing of learning resources. This study aims to study the problems of university physical education classroom teaching from the perspective of the Internet mobile information system, find the problems existing in university physical education classroom teaching, reasonably solve the educational problems of university physical education classroom teaching, help the development of college sports, and help college students to carry out physical exercise and maintain a strong constitution. The methods adopted in this paper are as follows: firstly, inductive method is used to analyze the survey data; secondly, the case analysis method is used to study the characteristics of curriculum in colleges and universities; finally, after finding the existing problems, comparative research method is used to compare the influence of students, teachers, and leaders in charge on the existing education problems. The conclusion is the lack of theoretical guidance and concept carding in college physical education makes students not form a good lifelong sports consciousness; the positive influence of physical exercise on a person greatly promotes the development of personal lifelong sports; there are unreasonable phenomena in the arrangement of physical education teaching in colleges and universities. The training mode of colleges and universities is mainly based on social practice, and extracurricular activities are mainly for it. In addition, there is a small amount of in-class teaching.

FORMATION OF CONSOLIDATED DOCUMENTARY AND INFORMATION RESOURCES OF THE SHEVCHENKO NATIONAL RESERVE BY MEANS OF PROJECT ACTIVITY

The purpose of the article is to study the world experience of forming consolidated museum, library, and archival documentary and information resources, analysis of opportunities and prospects of Shevchenko National Reserve to create an informative socio-communicative representative online environment by means of project activities and determination of phasing of outlined steps. The methodology of the research is based on the complexity of the general scientific methods: analysis, synthesis, formal logic, federal consolidation of information resources, methods of analytical Internet monitoring, and visualization of the results of the research. Scientific Novelty. Prospects and expediency of forming a consolidated database of documentary and information resources of the Shevchenko National Reserve as an informative socio-communicative rep­resentative environment of the reserve in the world information space are substantiated, and the main ap­proaches and stages of this project are outlined. Conclusions. As a result of the realized study was found that the project approach to the formation of a single database of documentary and information resources of the Shevchenko National Reserve and their integration into a single information space is optimal for solving the problem, which requires a step-by-step solution and fully meets the requirements of the time. The creation of an informative and communicative representative environment of the Shevchenko National Reserve will help to reach a wide target audience, establish business communication, enter a single information space as an institution with a powerful documentary and information resource potential attractive for both the world and national community. Keywords: Shevchenko National Preserve, project activities, consolidated documentary and informa­tional resources, general informational space.

Geotagging of natural history collections for reuse in environmental research

The availability of archival spatial datasets, which are crucial means of obtaining valuable information in biological and ecological research, is often limited due to the analog form of the data. Therefore, digitization projects of natural history collections (NHCs) currently show a rising trend. Increasingly, these projects include geotagging, which means assigning geographical coordinates and spatial attributes to specimens discovered in the field. Although numerous studies have examined the process of digitizing NHCs, there is still a need to develop good practice guides and a unified database or list of geographical information resources. Moreover, the accuracy of the spatial assignment of specimen locations in many online databases is unacceptable for environmental research. Therefore, it is important to develop a methodology to standardize geotagging methods.The first goal of this paper was to create and verify a list of available online sources of geotagged spatial information. The second goal was to develop a good practice guide for geotagging NHCs based on the limitations resulting from the specificity of archival data. These aims were achieved owing to participation in the AMU Nature Collections project – digitization and sharing of natural data resources of the Faculty of Biology of Adam Mickiewicz University in Poznań (AMUNATCOLL). The results of the proposed methodology indicate that natural history data are so heterogeneous in terms of spatial description quality that it is not always possible to unambiguously and precisely geotag them. Therefore, it is important to implement the spatial quality assessment and commenting system proposed by the authors.

РАЗРАБОТКА АЛГОРИТМОВ ИНТЕЛЛЕКТУАЛЬНОГО СЕРВИСА ПОИСКА И МОНИТОРИНГА ИНФОРМАЦИИ

This paper describes the problem of strategic analysis and the choice of directions for the developmentof an innovative enterprise in the conditions of transition to the 6th technological order andindustry 4.0. In these conditions, search and analytical processing of information cannot be fully performedwithout the use of automated information and analytical systems, including those based on artificialintelligence. During the analysis, the main priority functions that the developed services shouldprovide were identified. The main difficulties in the development of these services are identified, such as:pre-processing of data and automated checking of the relevance of databases. To effectively solve thetasks set, the intelligent monitoring and information retrieval service should use an integrated approach,taking into account the effectiveness of applying methods for individual subtasks, and ensure high efficiencyof implementing all stages of the intelligent monitoring procedure. In this regard, this paper describesnot only the development of a general intelligent search algorithm, but also individual blockalgorithms necessary to ensure the priority functions of the service being developed. The paper presentsthe following algorithms: an information search algorithm necessary to solve the problem of full-textsearch of documents within the database of information resources of the information and analyticalcomplex; an algorithm for the procedure for entering new documents; an algorithm for pre-processingdata that includes stemming and removing punctuation marks for subsequent text analysis; an algorithmfor evaluating the ranking and relevance of information, including vectorization of documents; an algorithmfor clustering information search results based on the Kohonen neural network; the algorithm forchecking the relevance of information is to check whether the local copy of the document corresponds tothe current version on the source's web resource. The Python programming language for the implementationof the presented algorithm is proposed and justified. The system provides automated continuousmonitoring with a high frequency of sending a request without the participation of an operator, whichwill increase the quality and efficiency of information search in conditions of a large volume of unstructuredinformation.

Utilisation of remote sensing and geographic information system for compiling of agricultural land resources database in sragen regency

Availability of accurate information on agricultural land resources in Indonesia is important. An alternative method is needed to provide agricultural resource information quickly and accurately. The use of remote sensing and Geographic Information Systems (GIS) is expected to be an alternative method as a basis for compiling a database of agricultural information resources, specifically carrying capacity of agricultural land. Availability of a database of carrying capacity of agricultural land is important, to realise sustainable development, spatial planning must be based on environmental carrying capacity. The research objectives are (1). Compile the database for carrying capacity in Sragen Regency (2). Analysing the utilisation of remote sensing and GIS as the basis for compiling a database of carrying capacity for agricultural land in Sragen Regency. The main data source of the research is satellite imagery. Data collection methods used are image interpretation, field observations, interviews, and documentation. The research approach is used spatial description. The results of the study are: (1) The compilation of a database of land carrying capacity of Sragen Regency (2). Remote sensing satellite imagery and GIS can be used as the basis for compiling the database for the carrying capacity of the agricultural land in Sragen Regency.

Adoption and effectiveness of de-escalated radiation and endocrine therapy strategies for older women with low-risk breast cancer

PurposeRecent clinical trials support de-escalation of adjuvant radiation therapy following lumpectomy in some older women with low-risk HR+ breast cancers planning to take endocrine therapy. The adoption of these findings into clinical practice, and the effectiveness of de-escalated therapy in real-world populations, remain under investigation. Materials and methodsWe evaluated use of adjuvant radiation therapy and/or endocrine therapy among older women with T1-2 node-negative, HR+ breast cancer in the United States between 2007 and 2011. The study included patients from the Surveillance, Epidemiology and End Results-Medicare linked database and the North Carolina Cancer Information and Population Health Resource database. ResultsRadiation therapy was received by 65.5% of patients, with no decrease over time. Older women and those with T2 (compared to T1) tumors were less likely to receive radiation therapy. In propensity-adjusted analyses, both radiation therapy alone (HR 0.75, 95% CI 0.67–0.84) and radiation + endocrine therapy (HR 0.62, 95% CI 0.54–0.69) were associated with significantly lower recurrence risk compared to endocrine therapy alone. Non-adherence to endocrine therapy was common (37%) and similar across groups. With a median follow-up of 48 months (range 13–84), we were not able to detect an association of non-adherence with recurrence risk in endocrine therapy-containing treatment arms. ConclusionMost older women with stage I HR+ breast cancers continue to receive radiation, at higher rates than patients with node-negative stage II tumors. These findings suggest that while multiple evidence-based treatment options exist in these patients, improvements are needed to ensure that radiation therapy is applied equitably and rationally.

Educational Response Method Based on Artificial Intelligence Perspective

Mobile Internet technology is constantly improving, and its impact on people's daily life style continues to deepen. The rapid development of artificial intelligence technology has brought new opportunities and challenges to mankind, especially having a profound impact on education. This article uses qualitative research methods to conduct research and finds that the advent of the artificial intelligence era has caused major changes in education. Artificial intelligence technology provides new ideas for the development of education and points out new directions. Education and artificial intelligence are new cores. The integrated development of technology can provide data support for the scientific management of education, optimize the relationship between teachers and students, and promote personalized learning. Grabbing valuable information, establishing an education and teaching information resource database, and establishing an education and teaching effect evaluation mechanism based on big data are the countermeasures for education in the era of artificial intelligence.

Effective ICT Skills and Use of Electronic Information Resources by Lecturers in Captain Elechi Amadi Polytechnic, Port Harcourt, Nigeria

This study examined the influence of effective ICT skills on the use of electronic information resources by lecturers in Captain Elechi Amadi Polytechnic, Rumuola, Port Harcourt, Nigeria. The population of the study consisted of 276 lecturers. However, the study sampled 164 lecturers determined through the use of Prof Taro Yemane sample size formula. Appropriately, the study used 147 of the lecturers validly found to be useful and relevant and this represents 90% response rate. The study adopted survey research design and used both descriptive and inferential statistical tools to analyze the data and test the hypothesis of study. Findings from the study revealed that a high level of ICT skills and a high level of electronic information resources are available in tertiary institutions. The top notable purposes of electronic information resources as indicated by the sampled lecturers were to update knowledge/research, to share knowledge, for publication of journal/articles, for writing of thesis/dissertation among many others. The study also, found conclusively that effective ICT skills significantly influence electronic information resources used by lecturers in tertiary institutions. The study recommends that the e-library unit of tertiary institutions should exploit the selective dissemination of information to attract all the academic staff to different forms of information resources and databases available on the library portal. Also, tertiary school management should provide fund through TETFUND and other means for subscription of more scholarly electronic information resources database in order to build a strong collection of e-resources in the library for usage by the lecturers.

Security precautionary technology for enterprise information resource database based on genetic algorithm in age of big data

The security precaution of enterprise information resource database is a problem that enterprises pay close attention to extensively. In this paper, intrusion detection technology was studied, and a hybrid genetic algorithm which combined genetic alg

Protection and Activation of Cultural Heritage Based on Cloud Computing Platform

Cultural heritage is the crystallization of the wisdom of peoples of all countries. Its value is inestimable, and countries and regions around the world have reached a consensus on protecting cultural heritage. The digital museum uses virtual reality technology, three-dimensional scanning technology, computer network technology and other display technologies to present the physical museum in a three-dimensional manner in the network application in the real world. The challenges facing the construction of digital museums mainly come from two aspects: Technically, digital museums can be regarded as a combination of a large-scale distributed information resource database and a multimedia broadband network, and a unified platform resource for cultural heritage natural resource information sharing and services. In terms of management, there are a series of problems in the management of digital museums in all stages of data collection, storage, transmission, and display. Based on the above background, the research content of this article is the protection and activation of cultural heritage based on cloud computing platform. This article analyzes the technical problems facing digital museums. Based on the in-depth study of Hadoop cloud computing, a digital museum construction plan based on Hadoop and a distributed multi-QoS parallel routing algorithm based on TCP / IP are proposed. This paper mainly adopts multi-QoS distributed parallel routing algorithm to improve the data transmission efficiency, thereby improving the query response speed of the system. This paper analyzes the theoretical foundation of Hadoop and the feasibility of building a digital museum, and builds the module implementation of the digital museum. Finally, the construction of Hadoop experimental environment is introduced. Simulation results show that compared with traditional algorithms, the improved algorithm can balance network load and improve network resource utilization. The performance analysis of the system verifies that the model proposed in this paper meets the requirements of security and integrity.

Information resources to support safety management of work in unsuitable for breathing environment

Introduction . Modern information support for firefighters performing work in unsuitable for breathing environment and technical equipment monitoring means controls the safety parameters of gas and smoke protection makes it possible to develop an automated information and control system, the mathematical basis of which is the sto­chastic approach. The modular structure of the probabilistic management model with the description of each module is developed. The specificity and diversity of work performed in unsuitable for breathing environment requires the formation of a database in which the management information resources will be synthesized within an object- oriented approach. The method of formation of information resources is presented, as well as the structure of the database interface is presented. Formal task description and solution method . Formally, the task of supporting safety management during work in unsuitable for breathing environment is reduced to the formation of a database of information resources of the safety parameters of gas and smoke protection, presented in both deterministic and probabilistic formulation. To solve this problem, a modular structure of the safety management model is formed, where each module performs certain functions at different stages of work. The synthesis of information resources is based on the moni­toring of gas and smoke protection safety indicators, the data from which are received in the analytical unit, which compares the processed resources with the planned indicators. Conclusions. The developed information resources to support the safety management of work in unsuitable for breathing environment is based on the theoretical foundations of risk management for the implementation of a destructive event consisting in the lack of respiratory resources in the cylinder of breathing apparatus. The information resources of safety management support make it possible to use as source data both stored results of monitoring of safety indicators and those obtained in real time when working in unsuitable for breathing environment from telemetry systems. The advantage of information resources is the possibility of obtaining, storing and digital processing of data belonging to a certain type of work, which will further allow synthesizing a large amount of data into a single information management system for the safe operation of gas and smoke protection.

Exploring the Potentiality of Lactobacillus Cultures on the Production of Milk-Derived Bioactive Peptides with Antidiabetic Activity

In the study, ten different Lactobacillus cultures were considered for the study of ɑ-amylase, ɑ-glucosidase and pancreatic lipase inhibitory activities. L. fermentum (M2) and L. fermentum (M7) were selected based on these three highest enzyme inhibition activities after 24 h at 37 °C inoculating at 2% rate. These two selected cultures were further studied for enzyme inhibition activities for different time intervals. For ɑ-amylase and ɑ-glucosidase inhibitory activities, M2 (65.29% and 11.14% respectively) and M7 (63.47% and 13.74% respectively) exhibited better inhibition after 24 h than other cultures. But in the case of lipase inhibitory activity, M7 (24.24%) and M2 (18.99%) showed maximum inhibition after 16 h. Purified peptides from fermented bovine milk were isolated, identified and characterized by amino acid profiling by searching on the BIOPEP database and Protein Information Resource (PIR) database. However, L. fermentum (M2) and L. fermentum (M7) could be explored to produce ɑ-amylase and ɑ-glucosidase inhibitory peptides from fermented bovine milk. Fermented bovine milk produced by selected Lactobacillus cultures could be a novel source of antidiabetic peptides.