bluuebunny/crossref_metadata_2025 huggingface dataset:
INCREASING THE ACCURACY OF THE DIAGNOSIS OF MENTAL DISORDERS BASED ON HETEROGENEOUS DISTRIBUTED DATA
Authors: Bogdanov A. , Degtyarev A. , Zalutskaya N. , Gomzyakova N. , Belavin S. , Khokhryakova A.
Published: January 2022

There is no single diagnostic marker for neurodegenerative diseases. The biomedical data obtained during these studies have heterogeneous nature, which greatly complicates their collection, storage and complex analysis. Special methods of statistical analysis due to the described specifics of the data must be applied. The results obtained indicate that for a correct diagnosis, it is necessary to use a comprehensive assessment of all tests.
MECHANISMS FOR IDENTIFYING THE PATTERNS OF THE DYNAMICS OF SCIENTIFIC AND TECHNICAL PUBLICATIONS ON THE EXAMPLE OF THE THEMATIC DIRECTION «ROBOTICS»
Authors: Cherkasskaya M. , Cherkasskiy A. , Pronicheva L.
Published: January 2022

Scientific activity is a source of new knowledge and the creation of the latest technologies to improvethe quality of life. The results of research are presented in the form of articles published in scientificjournals or collections of scientific conferences, thereby being the main channel of communication inthe scientific environment, and also characterize the state of the scientific organization and the countryin the world scientific ranking. The article analyzes the world publication activity of countries on theexample of the direction - "Robotics" based on the data of the Web of Science system. It was revealedthat the development of technologies is subject to certain laws and it is possible to build predicativemodels for the emergence of new technologies.
FORECASTING AND ASSESSMENT OF LAND CONDITIONS USING NEURAL NETWORKS
Authors: Khokhriakova A. , Grishkin V.
Published: January 2022

In some regions, mainly occupied by agriculture and cattle breeding, irreversible soil changes, e.g.desertification, have appeared, which can lead to serious environmental and economic problems. Thispaper considers the application of neural networks for prediction and assessment of desertificationprone lands using satellite images. An autoencoder type of the neural network is applied for thesepurposes. Datasets were generated for training from the Sentinel-2 satellite open database. The firstnetwork was used for prediction. The second network is responsible for segmentation of the imageinto classes using NDVI index. In this paper we explain the method, the architecture of the networkand present some experimental results. The presented method allows making a qualitative andquantitative assessment of possible changes, which can be useful for planning preventive works.
WALT PLATFORM FOR WEB APPLICATION DEVELOPMENT
Authors: Korenkov V. , Kuniaev S. , Semashko S. , Sokolov I.
Published: January 2022

The article describes the Web Application Lego Toolkit (WALT), which is a template-orientedplatform designed for the development of web applications of various degrees of complexity. Unlikesome other platforms, which represent a "magic black box", the main idea of WALT is to providetransparent, extensible, and modifiable tools for solving some specific problems that arise whendeveloping web applications. WALT is primarily intended for use by individual full-stack developersor small groups of developers. The article depicts the WALT architecture and provides examples of itsuse for the development of JINR corporate web applications.
QUANTUM MACHINE LEARNING FOR HEP DETECTOR SIMULATIONS
Authors: Rehm F. , Vallecorsa S. , Borras K. , Krücker D.
Published: January 2022

Quantum Machine Learning (qML) is one of the most promising and very intuitive applications onnear-term quantum devices which possess the potential to combat computing resource challengesfaster than traditional computers. Classical Machine Learning (ML) is taking up a significant role inparticle physics to speed up detector simulations. Generative Adversarial Networks (GANs) haveproven to achieve a similar level of accuracy compared to Monte Carlo-based simulations whiledecreasing the computation time by orders of magnitude. In this research we are moving on and applyquantum computing to GAN-based detector simulations.Given the limitations of current quantum hardware in terms of number of qubits, connectivity, andnoise, we perform initial tests with a simplified GAN model running on quantum simulators. Themodel is a classical-quantum hybrid ansatz. It consists of a quantum generator, defined as aparameterised circuit based on single and two qubit gates, combined with a classical discriminator.Our initial qGAN prototype focuses on a one-dimensional toy-distribution, representing the energydeposited in a detector by a single particle. It employs three qubits and achieves high physics accuracythanks to hyper-parameter optimisation. Furthermore, we study the influence of real hardware noisefor the qML GAN training. A second qGAN is developed to simulate 2D images with a 64-pixelresolution, representing the energy deposition patterns in the detector. Different quantum ansatzes arestudied. We obtained the best results using a tree-tensor-network architecture with six qubits.Additionally, we discuss challenges and potential benefits of quantum computing as well as our plansfor future developments.
THE GRAPH DIAMETER OF A DISTRIBUTED SYSTEM WITH A GIVEN DOMINANT SET
Authors: Rappoport A. , Kurochkin I.
Published: January 2022

In this work consider a distributed computing system in which the control functions are dispersed inseveral dominant nodes that are directly connected to all the others. This configuration reduces thevulnerability of the entire network, since the failure of a single control element immediately disruptsits operation. On the other hand, the large length of the maximum shortest chain (diameter) increasesthe data transfer time, which is bad for the functioning of the entire system. The connection of themaximum shortest chain of a distributed network graph with the size of a certain dominant set isinvestigated. The structure of a graph with a maximum diameter on the set of all graphs with a givendominant set is presented, a diametrical chain is constructed, and the value of the extreme diameter isestimated. Based on this construction, it is possible to generate various network graphs with a givendominant set and a diameter that takes certain values. A number of operations are proposed thatchange the edge set of the original graph. As a result, this method provides a way to construct graphstructures with given metric characteristics.
INTELLIGENT ENVIRONMENTAL MONITORING PLATFORM
Authors: Uzhinskiy A.
Published: January 2022

Air pollution has a significant impact on human and environmental health. The aim of the UNECEInternational Cooperative Program (ICP) Vegetation within the United Nations Convention on LongRange Transboundary Air Pollution (CLRTAP) is to identify the main polluted areas of Europe,produce regional maps and further develop an understanding of long-range transboundary pollution.The program is implemented in 43 countries of Europe and Asia. Mosses are collected at thousands ofsites. The development of the data management system (DMS) for the ICP Vegetation program wasinitiated in 2016 at the Meshcheryakov Laboratory of Information Technologies of the Joint Institutefor Nuclear Research. The DMS offers good options to simplify and automate the environmentalmonitoring process. We use several powerful technologies to provide a new level of service for ICPVegetation participants. The platform has some worthwhile analytics, classification and predictionabilities. The current architecture, workflow, and principles of data processing and analysis will bepresented.
CLUSTERING IN ONTOLOGY-BASED ANALYSIS OF RESEARCH PROJECT DESCRIPTIONS
Authors: Lula P. , Tuchowski J. , Cieraszewska U. , Talaga M.
Published: January 2022

Ontology-based approach in exploratory analysis of textual data can significantly improve the qualityof the obtained results. On the other hand, the use of domain knowledge defined in the form ofontologies increases the time needed to prepare a model and makes required calculations morecomplex. The publication will discuss selected aspects of cluster analysis performed on documentsautomatically annotated using ontologies. It seems that methodological aspects of cluster analysisprocess, especially the way in which distances are determined, should depend on the structure of agiven ontology. Three cases involving the use of ontologies with linear, hierarchical and networkstructures will be discussed. The methodological aspects of ontology-based cluster analysis of textdocuments was used for analysis of projects’ descriptions related to the area of economics andregistered in the period 2019-2021. Only Horizon and Framework Program projects were included.
APPLICATION OF MACHINE LEARNING METHODS FOR CROSS-CLASSIFICATION OF ALGORITHMS AND PROBLEMS OF MULTIVARIATE CONTINUOUS OPTIMIZATION
Authors: Chepurnov A. , Ershov N.
Published: January 2022

The paper is devoted to the development of a software system for the mutual classification of familiesof population optimization algorithms and problems of multivariate continuous optimization. One ofthe goals of this study is to develop methods for predicting the performance of the algorithms includedin the system and choosing the most effective algorithms from them for solving a user-specifiedoptimization problem. In addition, the proposed software system can be used to expand existing testsuites with new optimization problems. The work was carried out with the financial support of theRussian Foundation for Basic Research (Grant No. 20-07-01053 A).
THE ATLAS EVENTINDEX USING THE HBASE/PHOENIX STORAGE SOLUTION
Authors: Cherepanova E. , Alexandrov E. , Alexandrov I. , Barberis D. , Canali L. , Fernandez Casani A. , Gallas E. , Garcia Montoro C. , Gonzalez de la Hoz S. , Hrivnac J. , Kazymov A. , Mineev M. , Prokoshin F. , Rybkin G. , Sanchez J. , Salt Cairols J , Villaplana Perez M. , Yakovlev A.
Published: January 2022

The ATLAS EventIndex provides a global event catalogue and event-level metadata for ATLAS analysis groups and users. The LHC Run 3, starting in 2022, will see increased data-taking and simulation production rates, with which the current infrastructure would still cope but may be stretched to its limits by the end of Run 3. This talk describes the implementation of a new core storage service that will provide at least the same functionality as the current one for increased data ingestion and search rates, and with increasing volumes of stored data. It is based on a set of HBase tables, coupled to Apache Phoenix for data access; in this way we will add to the advantages of a BigData based storage system the possibility of SQL as well as NoSQL data access, which allows the re-use of most of the existing code for metadata integration.
A VIRTUAL TESTBED FOR OPTIMIZING THE PERFORMANCE OF A NEW TYPE OF ACCELERATORS
Authors: Mingazova M. , Degtyarev A. , Bogdanov A.
Published: January 2022

Simulation of the beam dynamics is an important stage in the design and launch of a charged particle accelerator. To solve this problem, many methods and software packages have been developed.Standard approaches to modeling accelerators require the use of not only ready-made libraries but exact theory and clearly formalized mathematical models. However, now such accelerator systems are emerging, where they plan to study phenomena, the physics of which is not completely clear.Therefore, a new type of accelerator requires a different approach to beam modeling. This article describes an approach to creating a virtual accelerator that will allow simulating particle physics,taking into account the peculiarities of the latest accelerators and the problem of the lack of an accurate theory for various phenomena planned to be detected at the accelerator.
EFFICIENT GOSSIP-BASED PROTOCOL IN THE NEO BLOCKCHAIN NETWORK
Authors: Shaleva A. , Korkhov V.
Published: January 2022

Peer-to-peer (P2P) networks, together with other distributed systems, must meet strict efficiencyrequirements in terms of the information dissemination process. Rapid message transmission affectsthe entire functionality of the network, including data processing, attack resistance, topology changes,etc. In this article, we look at the most common network protocols based on gossip, explore andcompare several approaches to improve the information dissemination model. We describe the Neoblockchain network protocol, which extends gossip algorithms to distribute messages over a P2Pnetwork. Based on the simulation results, we build a model of the Neo blockchain network protocoland evaluate the effectiveness of the Neo network protocol in terms of reactive message processing inseveral scenarios, propose protocol improvements and evaluate the resulting performance gain.
VM BASED EVALUATION OF THE SCALABLE PARALLEL MINIMUM SPANNING TREE ALGORITHM FOR PGAS MODEL
Authors: Bejanyan V. , Astsatryan H.
Published: January 2022

The minimum spanning tree problem has influential importance in computer science, networkanalysis, and engineering. However, the sequential algorithms become unable to process the givenproblem as the volume of the data representing graph instances overgrowing. Instead, the highperformance computational resources pursue to simulate large-scale graph instances in a distributedmanner. Generally, the standard shared or distributed memory models like OpenMP and MessagePassing Interface are applied to address the parallelization. Nevertheless, as an emerging alternative,the Partitioned Global Address Space model communicates in the form of asynchronous remoteprocedure calls to access distributed-shared memory, positively affecting the performance usingoverlapping communications and locality-aware structures. The paper presents a modification of theKruskal algorithm for MST problems based on performance and energy-efficiency evaluation relyingon emerging technologies. The algorithm evaluation shows great scalability within the server up to 16vCPU and between the physical servers coupled with a connected weighted graph using differentvertices, edges, and densities.
OFFLINE SOFTWARE AND COMPUTING FOR THE SPD EXPERIMENT
Authors: Andreev V. , Belova A. , Galoyan A. , Gerassimov S. , Golovanov G. , Goncharov P. , Gribowsky A. , Maletic D. , Maltsev A. , Nikolskaya A. , Oleynik D. , Ososkov G. , Petrosyan A. , Rezvaya E. , Shchavelev E. , Tkachenko A. , Uzhinsky V. , Verkheev A. , Zhemchugov A.
Published: January 2022

The SPD (Spin Physics Detector) is a planned spin physics experiment in the second interaction pointof the NICA collider that is under construction at JINR. The main goal of the experiment is the test ofbasic of the QCD via the study of the polarized structure of the nucleon and spin-related phenomena inthe collision of longitudinally and transversely polarized protons and deuterons at the center-of-massenergy up to 27 GeV and luminosity up to 1032 1/(cm2 s). The data rate at the maximum designluminosity is expected to reach 0.2 Tbit/s. Current approaches to SPD computing and offline softwarewill be presented. The plan of the computing and software R&D in the scope of the SPD TDRpreparation will be discussed.
RESOURCE MANAGEMENT IN PRIVATE MULTI-SERVICE CLOUD ENVIRONMENTS
Authors: Balashov N. , Kutovskiy N. , Tsegelnik N.
Published: January 2022

The JINR cloud infrastructure hosts a number of cloud services to facilitate scientific workflows of individual researchers and research groups. Although batch processing systems are still the major compute power consumers of the cloud, new auxiliary cloud services and tools are being adopted by researchers and are gradually changing the landscape of the cloud environment. While such services, in general, are not so demanding in terms of computational capacity, they can have spikes of demand and can dynamically scale to keep the service availability at a reasonable level. Moreover, these services may need to compete for resources due to the limited capacity of the underlying infrastructure. This paper discusses how resource distribution can be managed in such a dynamic environment with the help of a cloud meta-scheduler.
WEB BASED EVENT DISPLAY SERVER FOR MPD/NICA EXPERIMENT
Authors: Krylov A. , Rogachevsky O. , Krylov V. , Bychkov A.
Published: January 2022

Modern experiments in nuclear physics last for years and require enormous human and energyresources. There are various methods for monitoring engineering, network and computer systems ofthe experiment. As a rule, they have a common name for all - the Event Display and include a wholerange of monitoring and control systems. The operator must receive comprehensive information aboutthe course of the experiment in an understandable and intuitive form. The ability to obtain informationin three-dimensional form that most fully reflects real physical processes is one of the current trends inexperimental nuclear physics. In this work, a prototype of the Event Display was created using a highlevel language - JavaScript, built into any standard Internet browser. Modern technologies make itpossible not to take into account the platform and type of operating system on which the Internetbrowser is launched. A program written in JavaScript will execute in the same way on every platform,including mobile devices with Internet access. The work was carried out for the MPD (Multi-PurposeDetector) detector at the NICA (Nuclotron-based Ion Collider fAcility) accelerator complex at theJoint Institute for Nuclear Research (JINR, Dubna, Russia).
PASSWORDLESS AUTHENTICATION USING MAGIC LINK TECHNOLOGY
Authors: Matiushin I. , Korkhov V.
Published: January 2022

Nowadays, the problem of identification and authentication on the Internet is more urgent than ever.There are several reasons for this: on the one hand, there are many Internet services that keep recordsof users and differentiate their access rights to certain resources; on the other hand, cybercriminals'attacks on web services have become much more frequent lately. At the same time, in many cases, theweak point of systems exposed to attacks is precisely the authentication system.Authentication methods based on the knowledge factor (e. g. password protection) are the mostcommon and are applied almost everywhere. Their advantages are ease and low cost ofimplementation. On the other hand, such systems are often vulnerable to various kinds of attacks. It isestimated that up to 80% of successful hacker attacks (including attacks on the largest services withmillions of users) succeeded precisely because of the weakness of the password protection system.This paper presents a solution to the problem of passwordless authentication, which can be applied ina number of online services and systems. In particular, we consider the magic link technology andpresent an authentication system implemented using Keycloak, an open-source software product thatimplements single sign-on technology. In the future, it is possible to further improve the system, inparticular, using adaptive authentication, which allows switching between different authenticationmechanisms depending on certain factors.
NATIONAL RESEARCH AND EDUCATION NETWORK OF RUSSIA: DIRECTIONS OF DEVELOPMENT IN THE CONTEXT OF EXPANDING OF INTERNATIONAL COOPERATION
Authors: Abramov A. , Evseev A. , Gonchar A.
Published: January 2022

The paper is devoted to certain aspects of the current functioning and development of NationalResearch Computer Network (NIKS) in the status of National Research and Education Network(NREN) of Russia. The main emphasis is made on the discussion of foreign network connectivity ofNIKS, the planned technological modernization and expansion of international cooperation withNRENs of the EAEU countries, the intensification of network and service interaction with leadingEuropean research and education consortia GÉANT and NORDUnet.
ANALIZA RASTA ZELENE DUGLAZIJE (Pseudotsuga menziesii (Mirb.) Franco.) U IUFRO POKUSU "GOSTOViĆ" ZAVIDOVIĆI
Authors: Ballian Dalibor , Mikić Todor , Pintarić Konrad , Ščekić Milan
Published: January 2022

U okviru IUFRO programa za Duglaziju (Peudotsuga menziesii (Mirb. Franco.) 1972. godine zasađeno je više oglednih parcela. Među njima je i parcela "Gostović". Visina, DBH, opstanak, zapremina srednjeg stabla i ukupna zapremina sastojine po hektaru proučavana je u dobi od 32 godine.

Nađene su značajne razlike za visinu i DBH, ali ne i mnogo za ostale tri karakteristike. Provincije 19036 Alberni (Britanska Kolumbija-Kanada i 1100 Grand Ronde Agency (Oregon-SAD) bile su sa najboljom visinom, obimom i zapremine srednjeg stabla. Međutim, provincija 1099 Vasko Pine Grove (Vašington SAD) bila je najbolja u preživljavanju i zapremini sastojine po hektaru
DETERMINATION OF PHENOLIC CONTENT AND ANTIOXIDANT CAPACITY OF Fraxinus excelsior L. AND Fraxinus angustifolia VAHL. LEAVES AND BARK EXTRACTS
Authors: Tahirović Azra , Bašić Neđad
Published: January 2022

UDK: 581.19:547.56]:582.916.16  

In this work, Fraxinus excelsior L. and Fraxinus angustifolia Vahl. leaves and branches bark extracts have been estimated for their phenolic content and antioxidant capacity. The antioxidant capacity was examined by DPPH and FRAP methods.

 Higher contents of total phenols (23.94- 46.98 mg GAE g-1) and flavonoids (6.30 – 9.14 mg RE g-1 and 3.67 – 5.34 mg QE g-1) have been determined in leaves than in the bark for both species. The bark contained higher amounts of total phenolic acids (17.79 – 36.67 mg CAE g-1), coumarins (27.91 – 70.98 mg CE g-1) than the leaves. F. excelsior bark had higher content of proanthocyanidins (4.14 – 7.95 mg LCE g-1) while F. angustifolia leaves were richer in proanthocyanidins (5.76 – 11.16 mg LCE g-1). Generally, higher amounts of bioactive compounds and better antioxidant capacity was found for F. angustifolia. Also, extracts of F. excelsior bark and F. angustifolia leaves displayed higher antioxidant activities. Established correlations between phenols (r2 = 0.8381 – 0.9228), phenolic acids (r2 = 0.8799 – 0.9843), coumarins (r2 = 0.9223 – 0.9716) and antioxidant capacity determined by DPPH and FRAP shown these compounds are the main contributors to the antioxidant capacity in leaves and bark of investigated species.
La investigación en línea camino para la internacionalización
Authors: Franzante Blanca , Carbone Gabriel A. , Perdomo Vázquez José M.
Published: January 2022

El presente artículo se enmarca en el proyecto de investigación “Los estilos docentes y los modelos pedagógicos subyacentes en las prácticas de profesores en la Universidad de Concepción del Uruguay (UCU), Argentina y Universidad Central “Marta Abreu” de Las Villas (UCLV), Cuba”, como resultado y pretexto de conformación de grupos para la investigación. El objetivo de esta presentación es relatar la experiencia que resulta del desarrollo de dicho proyecto, y cuya sistematización posibilitó identificar al interior del grupo de investigación, los diferentes pasos necesarios para la conformación de grupos de investigación educativa en contextos distantes, las fortalezas y debilidades observadas en su implementación y la importancia de la tecnología de la información y comunicación como recurso necesario y facilitador del proceso de investigación “en línea”. Los resultados permiten sostener que ello es posible y pueden ser un aporte a los procesos de internacionalización de la educación superior.
The Role of Human in the Loop in Threat Recognition in Homeland Protection Systems
Authors: La Manna Mario
Published: January 2022

Threat Recognition is a primary task in Homeland Protection systems. When performing this task, Human in the Loop is the main part of a multidisciplinary reasoning process, that allows to achieve a high probability of correct classification. This reasoning process relies on two important factors, namely the past recognition history and the threat scenario. The Human in the Loop agent contributes both in controlling the automated process and in acting as a decision support system in different situations, such as dynamic changes in the scenario and occurrence of anomalous conditions. In this paper, we evaluate the performance of a multidisciplinary system, which uses a combination of a multisensory classification algorithm and a multidisciplinary fusion rule. This fusion rule combines the decisions coming from different channels with the reasoning process of a Human in the Loop agent. The performance evaluation of the multidisciplinary threat recognition system is carried out by considering different case studies. The evaluation demonstrates that a multidisciplinary system with a Human in the Loop agent can classify different threats, by using a set of methods and algorithms, with a high probability of correct classification, when compared to a completely automated recognition criterium.
Interdisciplinary Trends of Digital Education in the COVID-19 Paradigm: Global Event Horizon
Authors: Makhachashvili Rusudan , Semenist Ivan
Published: January 2022

Transformative shifts in the knowledge economy of the XXI century, Industry 4.0 and Web 4.0 development and elaboration of networked society, emergency digitization of all social communicative spheres due to pandemic measures have imposed pressing revisions onto interdisciplinary and cross-sectorial job market demands of university level education, curriculum design and learning outcomes. The COVID-19 pandemic induced amplified digitalization measures in the higher education sphere, informed by the need to take quick comprehensive action in order to achieve the overarching result to transform educational and communicative scenarios into interdisciplinary digital, remote, and hybrid formats. The consequent functional tasks to meet this challenge in the educational sphere worldwide are estimated as 1) to adapt the existent educational scenarios to digital, remote and hybrid formats; 2) to upgrade e-competence and digital literacy of all stakeholders of the educational process and industry; 3) to activate complex interdisciplinary skillsets, otherwise latent or underutilized in the professional interaction; 4) to introduce functional technical solutions for facilitation of formal and informal educational workflow and communication. The findings of the comprehensive framework research project 'TRANSITION' disclose a wide scope of generalized theoretical and applied issues, permeating the social and educational context worldwide: global event horizon and paradigm shifts in the interdisciplinary trends of digital education in the Covid-19 timeframe and beyond; transformative changes and avenues of development of the network society and education as an interdisciplinary socio-cultural institution and industry in the digital age; global experiences, universal/generic challenges, technical advances and specific national gains in quality assurance of online and hybrid learning in the Covid-19 paradigm.
Interdisciplinarity and Universality of Foreign Languages Education
Authors: Makhachashvili Rusudan , Semenist Ivan
Published: January 2022

Transformative potential of the knowledge economy of the XXI century, establishment of networked society, emergency digitization due to the COVID-19 pandemic measures have imposed elaborate interdisciplinary and transdisciplinary demands on the marketability of Liberal Arts university graduates' skills and competences, upon entering the workforce. The study is focused on the in-depth diagnostics of the development of multipurpose orientation, universality and interdisciplinarity of skillsets for students of European (English, Spanish, French, Italian, German) and Oriental (Mandarin Chinese, Japanese) Languages major programs through the span of educational activities in the time-frame of COVID-19 quarantine measures of March 2020 to January 2021. A computational framework of foreign languages education interdisciplinarity is introduced in the study. The survey analysis is used to evaluate the dimensions of interdisciplinarity, universality and transdiciplinarity, informed by the interoperability of soft skills and digital communication skills for Foreign Languages Education across contrasting timeframes and stages of foreign languages acquisition and early career training.
Human and Landscape of Scythian Time on the Forest-Steppe Dnieper Left-bank
Authors:   Institute of Archaeology, National Academy of Sciences of Ukraine, Grechko Denis , Bilynskyi Oleh ,   National University of “Kyiv-Mohyla Academy”, Kushnir Anatolii ,   Institute of Geography of the National Academy of Sciences of Ukraine
Published: January 2022

Three main stages can be distinguished in the development of settlement structures on the territory of Dnieper left bank forest-steppe at the Scythian time. The territory of Dnieper left bank forest-steppe at the Scythian time. The territory of high terraces of small rivers in the interfluve of the lower reaches of the Psel and Vorskla rivers, to the south of the Grun river, was settled in the early Scythian period, which was characterized by a more humid climate compared to modern conditions. The resource zones of the first settlements were represented by soils with maximum convenient for cultivation (ordinary chernozem, leached and podzolized). In the Middle Scythian period, which was drier than the previous one, the number of settlements in the floodplains increased, where meadow, sod and bog soils dominated. In the third stage (the last quarter of the 5th—4th centuries BC), the number of sites decreased, and new sites located at the rivers (the percentage of dark-gray podzolized soils decreased), which could indicate the climate aridity at that time. As a result, the spatial analysis of the archaeological and paleopedological data showed its validity and can be used in the study of Scythian time sites and sites of other periods.
MiniWarner: An Novel and Automatic Malicious Phishing Mini-apps Detection Approach
Authors: Chen Junhan
Published: January 2022

WeChat mini-apps are “sub-applications” built within the WeChat platform. Unlike full-function native applications, they are streamlined, “light” versions of the apps, and enable users to open and use them inside WeChat without downloading and installation. Since being introduced by WeChat in 2017, 4.3 million WeChat mini-programs have been developed, and they attract around 410 million daily active users Up to 2021. However, motivated by financial gains, many malicious mini-app developers use some intended description and icon to mislead users to click and open their mini-apps. These mini-apps are full of annoying advertisements and collect users’ privacy information stealthily, which can expose users to privacy risks and financial losses.

Although security personnel of WeChat has enforced various countermeasures to prevent malicious phishing mini-apps sneaking into WeChat, rampant malicious leading mini-apps still have been observed recently. In this paper, we present MiniWarner, a novel approach that leverages Natural Language Processing and a number of reverse engineering techniques to detect whether a mini-app is malicious and phishing when users open it. MiniWarner will only ask users whether to continue to open the malicious phishing mini-app, thus it can protect users against the intended misleading by attackers, and still preserve the original user experience. Besides, this approach is implemented as an Xposed module, making it practical to be quickly deployed on a large number of user devices. Our paper will introduce how we developed MiniWarner and the measurement results of MiniWarner in detail.
Technological and Nutritional Aspects of Incorporating Jamun (Syzygium cumini (L.) Skeels) Fruit Extract into Yoghurt
Authors: AO Emam , El-Nashar Heba AS
Published: January 2022

The study aimed to evaluate the technological suitability of incorporating the jamun extracts into Yoghurt. The light focused on the effect of the extraction method and rate of addition on the flavonols profiles, antioxidant activity and sensorial characteristics of the final Yoghurt product. Jamun fruit was subjected to either mechanical cold extraction or steam extraction and introduced to milk at rates of 5 and 10%. The results indicated that the extraction technique had no effect on the values of protein, fat, ash and titratable acidity. The steam extraction led to increase the total solids, pH, total hydrolysable tannins, antioxidant activity, color, flavor and overall sensorial acceptability of Yoghurt. While the cold mechanical extraction led to increase the total flavonols, thickness and smell scoring. Increasing the percentage of jamun extract addition led to reduce the total solids, protein, fat, appearance and thickness in a concentration depending way, as well as to increase all the detected flavonols, tannins and antioxitant power indicators. The 5% juice containing Yoghurt was distinguished with the highest scores of color, flavor, taste, smell and overall acceptability. Jamun fruit may be a promising source for fortifying Yoghurt with flavonols and enhancing its antioxidant power.
Register effects and the Spanish adjectival construction sin + INF in historical corpus data
Authors: Yamada Aaron
Published: January 2022

This study analyzes the usage of the Spanish adjectival sin + infinitive verb construction (un libro sin terminar ‘an unfinished book’) and the no + past participle construction (un libro no terminado ‘an unfinished book’) in historical corpus data, with the objective of quantitatively assessing Pountain’s (1993) analysis of the emergence of adjectival sin + INF as motivated in part by register formality. A logistic regression analysis finds that the usage of adjectival sin + INF over no + PP is significantly favored by the text register of Prose Fiction, and significantly disfavored by the register of Legal Texts. Furthermore, this preference increases with time in the register of Prose Fiction. These findings support Pountain’s claim, in showing that register effects significantly influence the usage of the novel construction. Ultimately, this study stresses the importance of measuring register effects in the analysis of language change in corpus data.
Incorporating creativity in science and mathematics teaching:
Authors: Johansen Astrid , Mogstad Erik , Gajic Bojana , Bungum Berit
Published: January 2022

Although creativity constitutes part of 21st century skills, realizing a curriculum that emphasizes creativity in science and mathematics appears to be a challenge. In this study, we investigate how lower secondary science and mathematics teachers understand the concept of creativity, how it can be promoted, and what hinders creativity in schools. Eight teachers were involved in the study, and their views were investigated through group interviews. It was revealed that teachers adopt three perspectives pertaining to how creativity can be fostered in the classroom: the nature of tasks and how they are presented and organized, the need for background knowledge, and the requirement of a supportive classroom environment. A major concern for teachers was how creativity could form part of the assessment process, since assessment systems influence what occurs in the classroom. Further, school cultures that emphasize objectivity and documentability tend to result in teachers prioritizing convergent thinking and the reproduction of knowledge, preventing the inclusion of creativity in teaching. The core values and principles for learning stated in the new curriculum introduced in Norway in 2020 include that students should experience the joy of creating, engagement, and the urge to explore. The results indicate that assessment dilemmas are the main obstacles in the realization of these intentions.
Effects of transport time and feeding type on weight loss, meat quality and behavior of broilers
Authors: Fu Yajie , Yin Jingwen , Zhao Ning , Xue Ge , Zhang Runxiang , Li Jianhong , Bao Jun
Published: January 2022

Objective: The purpose of this study is to determine the optimal time of transportation of floor-feed and scatter-feed broilers.Methods: Eighty healthy Arbor Acres (AA) broilers (21-day-old, 624.4 g, male, standard error = 6.65) were selected and randomly divided into two experimental groups (floor-feed and scatter-feed), then fed for three weeks. The experiment comprised a 2×4 factorial design with 2 feed patterns (floor-feed and scatter-feed) and 4 transport periods (2, 3, 4, and 5 h), and 4 replicates of 5 broilers (54-day-old, 2243 g, standard error = 46.65) was used to compare weight loss, meat quality and behavior index of different groups.Results: It appeared that drip loss, meat color and resting behavior of experimental broilers changed as length of transportation (p<0.05), however, weight loss and pH were not significantly transformed (p>0.05). Compared with floor-feed group, broilers in scatter-feed group had lower pH at 24 hours (3 h) and different behavioral indicators (p<0.05). Especially indicators after 3 h transportation, there were obvious differences between the two feeding modes in the behavior reaction of stress events before slaughter with different transport duration (p<0.05). The fluctuation of data on resting behavior with scatter-feed was significantly higher than that of floor-feed broilers. There was no interaction between transport time and different feeding methods for index tested of our experiment (p>0.05).Conclusion: Comprehensive analysis showed that the maximum transport duration of floor-feed and scatter-feed broilers should not exceed 3 h, and scatter-feed broilers were more likely prone to fear.
Effect of multi-enzymes supplementation on growth performance, meat quality, ileal digestibility, digestive enzyme activity and caecal microbiota in broilers fed low-metabolizable energy diet
Authors: Yaqoob Muhammad Umar , Yousaf Muhammad , Iftikhar Mubashir , Hassan Safdar , Wang Geng , Imran Safdar , Zahid Muhammad Umer , Iqbal Waqar , Wang Minqi
Published: January 2022

Objective: This study was conducted to evaluate the effect of using low energy diet with multi-enzymes supplementation on different biological parameters in broilers.Methods: Three hundred Arbor Acres broiler chicks were randomly divided into three groups (Cont, standard metabolizable energy(ME); L-ME, ME reduced by 50 kcal/kg without enzyme; and L-ME-MES, L-ME diet was supplemented with multi-enzymes) with five replicates per group (20 chicks per replicate) at the start of second week. Grower and finisher diets were formulated according to breed specific guide and offered with free access in respective phase (two weeks for grower [8 to 21 d]; two weeks for finisher [22 to 35 d]). External marker method was used to measure the nutrient digestibility. After feeding trial, fifteen birds (one bird per replicate) were selected randomly and slaughtered for samples collection.Results: The results exhibited no effect (p>0.05) of dietary treatments on all parameters of growth performance, carcass traits, relative weight of internal organs except bursa and overall parameters of thigh meat quality. Relative weight of bursa was significantly (p<0.05) higher in L-ME than control. Multi-enzymes supplementation in low-ME diet significantly (p<0.05) improved the breast meat pH 24 h, digestibility of crude protein, duodenum weight and length, jejunal morphology, counts of Lactobacillus spp. and Bifidobacterium spp., lipase and protease activities than control. Jejunum length was increased in both L-ME and L-ME-MES treatments than that of the control (p<0.05). Breast meat cooking loss and color lightness was lower in L-ME (p<0.05) than control.Conclusion: It can therefore be concluded that broilers could be reared on low energy diet with supplementation of multi-enzymes without compromising the growth performance. In addition, it is beneficial for other biological parameters of broilers.
National genomic evaluation of Korean thoroughbreds through indirect racing phenotype
Authors: Lee Jinwoo , Shin Donghyun , Kim Heebal
Published: January 2022

Objective: Thoroughbred horses have been bred exclusively for racing in England for a long time. Additionally, because horse racing is a global sport, a healthy leisure activity for ordinary citizens, and a high-value business, systematic racehorse breeding at the population level is a requirement for continuous industrial development. Therefore, we established genomic evaluation system (using prize money as horse racing traits) to produce spirited, agile, and strong racing horse populationMethods: We used phenotypic data from 25,061 Thoroughbred horses (all registered individuals in Korea) that competed in races between 1994 and 2019 at the Korea Racing Authority and constructed pedigree structures. We quantified the improvement in racehorse breeding output by year in Korea, and this aided in the establishment of a high-level horse-fill industry.Results: We found that pedigree-based best linear unbiased prediction method improved the racing performance of the Thoroughbred population with high accuracy, making it possible to construct an excellent Thoroughbred racehorse population in Korea.Conclusion: This study could be used to develop an efficient breeding program at the population level for Korean Thoroughbred racehorse populations as well as others.
MicroRNA analysis reveals the role of miR-214 in duck adipocyte differentiation
Authors: Wang Laidi , Hu Xiaodan , Wang Shasha , Yuan Chunyou , Wang Zhixiu , Chang Guobin , Chen Guohong
Published: January 2022

Objective: Fat deposition in poultry is an important factor in production performance and meat quality research. miRNAs also play important roles in regulating adipocyte differentiation process. This study was to investigate the expression patterns of miRNAs in duck adipocytes after differentiation and explore the role of miR-214 in regulating carnitine palmitoyltransferases 2 (CPT2) gene expression during duck adipocyte differentiation.Methods: Successful systems for the isolation, culture, and induction of duck primary fat cells was developed in the experiment. Using Illumina next-generation sequencing, the miRNAs libraries of duck adipocytes were established. miRanda was used to predict differentially expressed (DE) miRNAs and their target genes. The expression patterns of miR-214 and CPT2 during the differentiation were verified by quantitative real-time polymerase chain reaction and western blot. Luciferase reporter assays were used to explore the specific regions of CPT2 targeted by miR-214. We used a miR-214 over-expression strategy in vitro to further investigate its effect on differentiation process and CPT2 gene transcription.Results: There were 481 miRNAs identified in duck adipocytes, included 57 DE miRNA candidates. And the 1,046 targets genes of DE miRNAs were mainly involved in p53 signaling, FoxO signaling, and fatty acid metabolism pathways. miR-214 and CPT2 showed contrasting expression patterns before and after differentiation, and they were selected for further research. The expression of miR-214 was decreased during the first 3 days of duck adipocytes differentiation, and then increased, while the expression of CPT2 increased both in the transcriptional and protein level. The luciferase assay suggested that miR-214 targets the 3’untranslated region of CPT2. Overexpression of miR-214 not only promoted the formation of lipid droplets but also decreased the protein abundance of CPT2.Conclusion: Current study reports the expression profile of miRNAs in duck adipocytes differentiated for 4 days. And miR-214 has been proved to have the regulator potential for fat deposition in duck.
Half-castration is a newly effective method for increasing yield and tenderness of male cattle meat
Authors: Hoa Van-Ba , Song Dong-Heon , Seol Kuk-Hwan , Kang Sun-Moon , Kim Hyun-Wook , Jang Sun-Sik , Cho Soo-Hyun
Published: January 2022

Objective: For improving meat quality especially tenderness, male cattle are usually castrated to removes both the testicles. This study was conducted to evaluate the effect castration method (half- and complete-castration) on meat yield and quality characteristics of Hanwoo male cattle.Methods: Thirty-two similar age (5.9 months) Hanwoo male calves were divided into: half-castration (HC) and complete-castration (CC) groups (n = 16 per group). At 7 months of age, all the animals were castrated in which the HC calves had only one testicle surgically removed while, the CC calves had both testicles surgically removed. The castrated animals were reared under identical conditions until 25 months of age. After slaughter, the carcasses were evaluated for carcass traits and meat yield of primal cuts. For examination of the castration effect on meat quality, L. lumborum and semimembranosus muscles were used. The meat samples were analyzed for chemical composition, color, pH, shear force and water holding capacity, fatty acids, metabolites and volatile aroma compounds.Results: The HC group showed higher meat yields of all primal cuts (p<0.05). As a result, the total meat yield was higher by approximately 44 kg in the HC group (303.32 kg, corresponding to 67.88%) compared to the CC group (259.30 kg, corresponding to 62.11%) (p<0.05). In terms of meat quality, the HC resulted in two times greater fat content in both muscles examined compared to intact males. More importantly, the shear force values did not differ between HC and CC groups for L. lumborum muscles (p>0.05). The meat from HC animals exhibited higher amount of free amino acids associated with sweetness (p<0.05). Furthermore, the castration method only exhibited a negligible effect on metabolites and volatile aroma compounds in the cooked meat.Conclusion: Half-castration emerged as an alternative practice to be used for increasing the yield and tenderness of male cattle meat.
Cybersickness Analysis Using Symbolic Machine Learning Algorithms
Authors: Porcino Thiago , Trevisan Daniela , Clua Esteban
Published: January 2022

Virtual reality (VR) and head-mounted displays are constantly gaining popularity in various fields such as education, military, entertainment, and health. Although such technologies provide a high sense of immersion, they can also trigger symptoms of discomfort. This condition is called cybersickness (CS) and is quite popular in recent VR publications. This work proposes a novel experimental analysis using symbolic machine learning to rank potential causes of CS in VR games. We estimate CS causes and rank them according to their impact on the classical machine learning classification task. Experiments are performed using two VR games and 6 experimental protocols along with 37 valid samples from a total of 88 volunteers.
Cicloergômetro de baixo custo com tecnologia interativa e monitoramento cardíaco para Reabilitação Pós-COVID19
Authors: de Azevedo Anielle Martins , Lafayette Thiago B. G. , Aguiar Danillo Rodrigues , da Gama Alana Elza Fontes
Published: January 2022

A Covid-19 é uma doença grave que causa limitações físicas e funcionais. A reabilitação desses pacientes é fundamental, mas a adesão é pequena. Devido a isso, esse trabalho tem a proposta de desenvolver um cicloergômetro eletrônico de baixo custo associado a um aplicativo interativo com monitoramento cardiorrespiratório para melhorar a adesão dos pacientes à terapia.