Reviewerly/exHarmony huggingface dataset:
DETECTION OF FAKE REVIEWS USING MACHINE LEARNING

In the current scenario, the data on the web is growing to a larger extent. Social Media is generating a large amount of data such as reviews, comments and customer’s opinions on a daily basis. This huge amount of user generated data is worthless unless some mining t e c h n i q u e s are applied to it. Nowadays, there are several people using social media reviews to order anything through online. Online spam detection is one of the herculean problems since there are many faux or fake reviews that are created by organizations or by the people themselves for various purposes. Such organizations tend to write fake reviews to mislead readers or automated detection systems by promoting or demoting the targeted product services. Fake reviews detection has recently become a limelight that’s capturing attention. Fake reviews are generated intentionally to mislead readers to believe false data thatmakes it tough and non-trivial to discover supported content. Hence, it is highly necessary to create a monitoring system which thoroughly checks for fake reviews among various product websites and removes them promptly. Keywords: Fake reviews, spam detection, opinion mining.
iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression

Graph data are pervasive worldwide, e.g., social networks, citation networks, and web graphs. A real-world graph can be huge and requires heavy computational and storage resources for processing. Various graph compression techniques have been presented to accelerate the processing time and utilize memory efficiently. SOTA approaches decompose a graph into fixed-size submatrices and compress it by applying the existing graph compression algorithm. This approach is promising if the input graph is dense. Otherwise, an optimal graph compression ratio cannot be achieved. Graphs such as those used by social networks exhibit a power-law distribution. Thus, applying compression to the fixed-size block of a matrix could lead to the empty cell processing of that matrix. In this paper, we solve the problem of ordered matrix compression on a deep level, dividing the block into sub-blocks to achieve the best compression ratio. We observe that the ordered matrix compression ratio could be improved by adopting variable-shape regions, considering both horizontal- and vertical-shaped regions. In our empirical evaluation, the proposed approach achieved a 93.8% compression ratio on average, compared with existing SOTA graph compression techniques.
The Scientists about the Scientists: Worlds and Myths of Novosibirsk Akademgorodok

The article analyzes the most notable new publications about the history of Siberian Branch of the Russian Academy of Sciences, Novosibirsk Scientific Center.Among them are a monograph by I.A. Kraineva, a book by E.V
Problems and Opportunities for Training Specialists for Working with Children with Mental Retardation in the Higher Education System

In the modern rapidly changing world, there is a change in value orientations and educational paradigms, socio-economic, political, liberal-social and scientific conditions. These processes also affect the training system for working with different categories of children, including those with mental retardation. The purpose of this work is to study, analyze and objectively compare the structure of training bachelors who are capable of creating special conditions for education and upbringing for children with mental retardation, to identify common elements of this training. The study of the domestic practice of training specialists for working with persons with mental retardation is important for concretizing the content of specialized education. The study used a comparative analysis of training profiles in the framework of defectological, psychological-pedagogical and pedagogical training areas. At the same time, the authors also analyzed the main professional educational programs and work programs of specialized disciplines aimed at preparing defectologists, teachers and psychologists to work with children with impaired mental function. The study expanded the understanding of the dependence of the structure and content of personnel training for working with children with mental retardation on future areas of professional activity; the influence of research results, concepts of leading scientists who advocate the priority of defectologists in teaching and upbringing of children with mental retardation. Based on the results of the study, a versatile description of the structure of training psychological, pedagogical and defectological personnel was obtained by identifying factors that can affect the organization of optimal profile training for bachelors. The authors declare the idea of a specialized professional defectological education of teachers who are ready to work with children with mental retardation. The obtained research results can be used to design training modules in the structure of courses, the content of which maximally effectively ensures the formation of core competencies for working with children with mental retardation.
Roteiro Entre-Marés: an educational app for ocean literacy promotion

The app ‘Roteiro Entre-Marés’ offers digital itineraries for exploring intertidal zones, such as the rocky platform of the Avencas Marine Protected Area. As users travel through the intertidal area, several challenges emphasising the biodiversity and environmental issues are presented. Eighth-grade students (n=63) used this application and were challenged to identify in situ the marine species present in different zones of the intertidal ecosystem. Then, questionnaires and interviews were performed with teachers and students to examine the utilisation of mobile apps as educational tools. The fact that they learnt a lot, autonomously, using the field guide of the app, was among the aspects that the students most appreciated, describing this app as an organised, informative, interesting, and interactive learning tool. Teachers say this is a useful didactic resource because it delivers clear and reliable information that links theory and practice. Hence, this study examines the acceptance of this mobile app as an instructional tool among students and teachers, highlighting the potential of mobile apps as educational tools.
PD38 Telehealth Use To Fight The COVID-19 Pandemic In A Brazilian Private Healthcare System

Introduction The outbreak of the COVID-19 pandemic generated the need to adapt patients’ access to health services, given the rapid and exponential increase in demand at all levels of care, making social distancing one of the few weapons available in this fight. In this scenario, telehealth proved to be a fundamental tool in tracking and guiding patients with suspected or confirmed disease. This work presents the demographic profile of the people attended, the most prevalent clinical situations in care and the clinical outcomes of the remote care. Methods This was an observational, descriptive, cross-sectional, retrospective study carried out at Unimed Belo Horizonte, a medical work cooperative, from March 2020 to May 2021. We analyzed anonymized data on remote care from electronic medical records provided by the operator, with the remote contacts of these patients being spontaneous. Results In the period evaluated, 380,663 remote calls were made, with a monthly average of 36,888 calls. Of these visits, 59.5% were carried out by women and 40.5% by men. There were, 13,211 (3.5%) consultations with patients aged 0 to 9 years, 19,933 (5.2%) 10 to 19 years, 319,882 (84%) in people aged 20 to 59 years, and 27,633 (7.3%) aged 60 years or older. There were 64,348 (17%) consultations in patients with confirmed COVID-19 and 40,997 (11%) with suspected COVID-19. There were 194,746 (51.2%) consultations due to respiratory complaints and 14% of consultations due to other causes, but whose initial care was due to signs and symptoms suggestive of COVID-19. Of people assisted remotely, 29,734 (7.8%) attended the emergency room within 3 days, while 38,685 (10.2%) sought the emergency room within 14 days. There were 2,846 (0.7%) consultations in the emergency room that resulted in the hospitalization of patients. Conclusions Telehealth proved to be resolute and an important tool for accessing health services during the pandemic.
Teacher’s digital competence as an indicator of the educational environment transformation as exemplified by the Saratov region

The relevance of the research is due to the development and widespread introduction of digital technologies in a wide context of sociocultural and economic processes, the inevitable digital transformation of the processes of education, upbringing and development of the younger generation. The teacher is seen as the main agent of digital literacy, the vehicle to pass on digital culture. The teacher acts as the main subject of two processes: one of digital transformation of the educational environment; the other of the retraining for the digital economy at the level of general education. The objective of the research is to assess the digital competence of teachers in educational organizations of Saratov and the Saratov region as well as their readiness to create a digital educational environment. The research reveals modern Russian and foreign scientific approaches explaining the essence of digital competence as a meta-subject competence, its specifics in relation to teachers’ activities. The authors identify the content of four components of teachers’ digital competence and six ways according to which it can be formed and developed among educators. The article provides a systematic approach revealing the leading functions of a teacher in the educational context, when the latter is created with the help of digital tools. The essential indicators are singled out. They are used to propose a system of levels according to which digital competence is built: they are basic, optimal, advanced. The authors conducted an online survey of teachers of Saratov and the Saratov region, had conversations with them and observed their work (N = 1500). Basing on the data, the article presents an analytical report on the real state of how and to what extent teachers’ digital competence is formed depending on their professional experience. The assessment of the degree of teachers’ readiness to create a digital educational environment is given. On the basis of pedagogical modeling, the article proposes the ways and methods to solve the problem of interest at different stages of the professional life cycle.
Students’ perceptions on learning independence: how self-regulated learning strategy helps?

This study aims to determine the effects of a self-regulated learning strategy on students’ independence in Literal Reading education. Literal Reading is an educational course working on literal comprehension and assigned to 2nd semester students. This experiment was carried out using a self-regulated learning strategy with the phases; (1) Forethought and Planning phase, (2) Performance Monitoring phase, and (3) Self-Reflection phase. 120 students were selected as participants, with a case study and experimental diary conducted to observe the implementation of the utilized strategy. A questionnaire was distributed to these participants, to determine the patterns by which the self-regulated learning strategy helped in developing independent students. The results showed; (1) The implementation of the learning strategy emphasized goal settings, learning journal completions, and lecturers' feedback reviews, (2) Most students positively perceived the self-regulated learning strategy, by exhibiting some independent characteristics, such as academic goal setting, learning process monitoring, and self-evaluation. These indicated that the self-regulated strategy influenced the development of students' learning Independence.
Modern pedagogical tasks and methods of creative abilities development of junior students (of the first cycle)

The article deals with a topical problem concerning creative abilities development of primary school students (of the 1st cycle). The general aim of the article is to reveal the concept of modern pedagogical tasks and methods that help to develop students’ creative abilities. On the basis of thorough analysis and systematization of scholarly literature it is indicated in the article that to develop creative abilities of children in the 1st and the 2nd grades successfully and harmoniously it is necessary to create favorable conditions and use various forms, methods and tasks during educational process. It is stated that the main components of junior students’ creative abilities are creative attention and thinking and it presupposes the use of certain tasks. Moreover the authors emphasize the idea that with the development of creative abilities, students become more interested in new knowledge, the level of independence in learning increases, and therefore the teacher should focus on revealing curiosity and interest in students, expanding their interest in learning process and thinking, communication skills, etc. The importance of creative tasks at school is underlined in the article. Three levels of the creative tasks complexity are singled out and characterized in the paper. They are elementary, medium and high. It is mentioned that these levels should be taken into consideration in the process of children’s creative abilities development. The most successful and active methods of teaching and developing creative abilities of junior students are identified and analyzed in the article. They are: conversation, didactic game, interactive methods, method of brainstorming, method of combinatorial actions, method «Think about something else», project method, etc. Besides, the practicability and advantages of these methods are described and certain tasks for developing creativity at class are offered. The authors believe that in the process of developing students’ creative abilities the teacher must adhere to such principles as, for example, students support and belief in their strength, informative and relevant learning materials, the use of modern forms and methods, etc. Thus, the above mentioned kinds of work will certainly serve the successful and effective development of children's creative abilities.
Formation Of The Ecosystem "Education-Business" In The Context Of Digitalization

Maintaining the quality of human capital, which would be adequate to the existing and potential requirements of business, is a significant problem for society.A promising approach to its solution is the creation of an ecosystem "education -business" through a close cooperation of educational institutions and business entities.The authors emphasize the importance of the cooperation between ecosystem actors, as a result of which synergistic effects are formed.The article presents empirical data reflecting the functioning of the "education -business" ecosystem on the basis of Moscow State University of Sports and Tourism.To determine the effectiveness of the "education -business" ecosystem, the theory of stakeholders was applied, the main subjects of the ecosystem assessed the results of its functioning.In the course of the survey, the stakeholders determined the level of significance and satisfaction with the knowledge and skills formed during the training.The results of the survey are reflected on the map of perception.It was revealed that the subjects of the ecosystem rate the practical skills formed in the course of training most highly.The analysis of the "education -business" ecosystem has demonstrated its effectiveness in solving the problem of the quality of human capital.
Formation of academic motivation of university students based on the MUSIC Model

Introduction. Academic motivation is a common name for processes, methods, means of encouraging teachers and students to productive activities. Teachers can and should take these components into account when developing a discipline and their own system of motivating students in the educational process. However, this issue has not yet been ad-equately reflected in scientific research. The purpose of the study is to generalize the basic principles of learning motivation based on the MUSIC model by B.D. Jones (B.D. Jones) and the presentation of practical suggestions and examples that teachers can take into account in the process of teaching a discipline to students of higher education. Methodology and research methods  analysis of domestic scientific research on this topic, works of foreign authors. The method of questioning students, interviews with teachers, the method of analyzing the teaching activities of university teachers, and par-ticipant observation were used. Results: implementation of the principles of learning mo-tivation based on the MUSIC model by B.D. Jones, practical suggestions and examples in the development and implementation of the academic discipline has a positive impact on the learning process in general. The MUSIC model demonstrates that motivation is not a simple element in the chain of cause and effect. The implementation of this model makes it possible to realize how important it is to combine such concepts as efforts, abili-ties, results, rewards, satisfaction and perception of the profession within a single inter-connected system. Student learning motivation is a dynamic factor. Through an active professional position, creative design and structuring of the methods of studying the discipline, the reasonable inclusion of elements of the MUSIC model in their own sys-tem of motivating students, the teacher can create conditions that encourage student participation and form motivation for learning.
Fair Data: History and Present Context

In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the principles of FAIR data and how they are managed in research centers. We also discuss the types of problems that researchers encounter, and what an information professional can do to assist them. At present, the vast majority of centers subscribe to the FAIR principles. However, both center and researcher face the arduous task of understanding, managing, and implementing the model. They must know data formats and standards. For a correct description and to facilitate data retrieval and interoperability, they must know about different types of metadata schemas. They must know about digital preservation and specific aspects of knowledge and information management. In addition, there are also ethical issues, intellectual property, and cultural differences. All these controversies translate into extra workload for researchers, who only get a return in the form of citations. It is critical to note that these information professionals can play a key role in the proper management of research data, and can help achieve the objectives described in the principles: making data findable, accessible, interoperable, and reusable.
Information retrieval approaches

The area of information retrieval (IR) has taken on increasing importance in recent years. This field is now of interest to large communities in several application domains (security, medicine, aeronautics, etc.). IR studies find relevant information from the semi-unstructured type of data. As the information resources generated after the search can be extensive in quantity and different in quality, it is essential to rank these results according to the degree of relevance. This paper focuses on text information retrieval (TIR) and emphasizes the importance of each IR approach. This study presents insightful aspects of TIR and provides a comparative study between some proposed approaches and models. Each model offers IR advantages and suffers from several limitations.
vieCap4H Challenge 2021: A transformer-based method for Healthcare Image Captioning in Vietnamese

The automatic image caption generation is attractive to both Computer Vision and Natural Language Processing research community because it lies in the gap between these two fields. Within the vieCap4H contest organized by VLSP 2021, we participate and present a Transformer-based solution for image captioning in the healthcare domain. In detail, we use grid features as visual presentation and pre-training a BERT-based language model from PhoBERT-base pre-trained model to obtain language presentation used in the Adaptive Decoder module in the RSTNet model. Besides, we indicate a suitable schedule with the self-critical training sequence (SCST) technique to achieve the best results. Through experiments, we achieve an average of 30.3% BLEU score on the public-test round and 28.9% on the private-test round, which ranks 3rd and 4th, respectively. Source code is available at https://github.com/caodoanh2001/uit-vlsp-viecap4h-solution.&#x0D;
ViMRC - VLSP 2021: An empirical study of Vietnamese Machine Reading Comprehension with Unsupervised Context Selector and Adversarial Learning

Machine Reading Comprehension (MRC) is a great NLP task that requires concentration on making the machine read, scan documents, and extract meaning from the text, just like a human reader.One of the MRC system challenges is not only having to understand the context to extract the answer but also being aware of the trust-worthy of the given question is possible or not.Thought pre-trained language models (PTMs) have shown their performance on many NLP downstream tasks, but it still has a limitation in the fixed-length input. We propose an unsupervised context selector that shortens the given context but still contains the answers within related contexts.In VLSP2021-MRC shared task dataset, we also empirical several training strategies consisting of unanswerable question sample selection and different adversarial training approaches, which slightly boost the performance 2.5% in EM score and 1% in F1 score.
vnNLI - VLSP 2021: Vietnamese and English-Vietnamese Textual Entailment Based on Pre-trained Multilingual Language Models

Natural Language Inference (NLI) is a high-level semantic task in Natural Language Processing - NLP, and it extends further challenges if it is in the cross-lingual scenario. In recent years, pre-trained multilingual language models (e.g., mBERT ,XLM-R, InfoXLM) have greatly contributed to the success of dealing with these challenges. Based on the motivation behind these achievements, this paper describes our approach based on fine-tuning pretrained multilingual language models (XLM-R, InfoXLM) to tackle the shared task ``Vietnamese and English\-Vietnamese Textual Entailment'' at the 8th International Workshop on Vietnamese Language and Speech Processing (VLSP 2021\footnote{https://vlsp.org.vn/vlsp2021}). We investigate other techniques to improve the performance of our work: Cross-validation, Pseudo-labeling (PL), Learning rate adjustment, and Postagging. All experimental results demonstrated that our approach based on the InfoXLM model achieved competitive results, ranking 2nd for the task evaluation in VLSP 2021 with 0.89 in terms of F1-score on the private test set.