Reviewerly/exHarmony huggingface dataset:
“Digital” Professions of the Information Specialist: Educational Prospects and Labor Market Requirements

The topicality of the study is caused to the contradiction that arises due to the separation of new types of information activities in the digital environment against the background of the uncertainty of the specialties that correspond to them and for which the training of higher education. The purpose of the article is to substantiate the correlation between the qualification requirements for representatives of modern “digital” professions in the field of information and communication activities, namely, managers of web content and web community and the profile of educational standards for training on specialty 029 “Information, library and archival affairs “. The scientific novelty of the study is to substantiate the compliance of professional tasks of specialists in web content management and web community to the competence parameters of educational standards of specialty 029 “Information, library and archival affairs”, the feasibility of developing educational programs for modern “digital” professions in within the specialty 029 “Information, library and archival affairs”. Conclusions. Digitization of all spheres of public life leads to the emergence and formalization of new types of professional activities, including professions of web content managers and web community, for which the labor market-defined design of competencies can be provided through the training on the specialty 029 “Information, library and archival case”. The requirements for such specialists have information and communication, information and management, and social and communicative content and do not need special professional education in the field of computer science. The normative content of education and competence, approved by the standards of higher education in the specialty 029 “Information, Library and Archival Affairs” (bachelor’s, master’s and doctoral degrees), indicates their compliance with defined in the draft of the professional standard “Information Resource Specialist” objects of activity, labor functions and labor actions of representatives of modern “digital” professions – web content manager and web community manager.
Inflection rules for Marathi to English in rule based machine translation

Machine translation is important application in natural language processing. Machine translation means translation from source language to target language to save the meaning of the sentence. A large amount of research is going on in the area of machine translation. However, research with machine translation remains highly localized to the particular source and target languages as they differ syntactically and morphologically. Appropriate inflections result correct translation. This paper elaborates the rules for inflecting the parts-of-speech and implements the inflection for Marathi to English translation. The inflection of nouns, pronouns, verbs, adjectives are carried out on the basis of semantics of the sentence. The results are discussed with examples.
Meta Reinforcement Learning for Heuristic Planing

Heuristic planning has a central role in classical planning applications and competitions. Thanks to this success, there has been an increasing interest in using Deep Learning to create high-quality heuristics in a supervised fashion, learning from optimal solutions of previously solved planning problems. Meta-Reinforcement learning is a fast growing research area concerned with learning, from many tasks, behaviours that can quickly generalize to new tasks from the same distribution of the training ones. We make a connection between meta-reinforcement learning and heuristic planning, showing that heuristic functions meta-learned from planning problems, in a given domain, can outperform both popular domain-independent heuristics, and heuristics learned by supervised learning. Furthermore, while most supervised learning algorithms rely on ad-hoc encodings of the state representation, our method uses as input a general PDDL 3.1 description. We evaluated our heuristic with an A* planner on six domains from the International Planning Competition and the FF Domain Collection, showing that the meta-learned heuristic leads to the expansion, on average, of fewer states than three popular heuristics used by the FastDownward planner, and a supervised-learned heuristic.
Asynchronous Global Types in Co-logic Programming

Global types are at the core of communication based programming. They allow a high level specification of protocols involving many participants and enforce good safety and liveness properties, such as absence of deadlock, locked participants and orphan messages. In this paper, we describe an implementation of a novel formalism of global types for sessions with asynchronous communications in co-logic programming, where we use coinduction to properly handle the coinductive syntax of global types and processes. We also define a simple query language to write sessions and global types, providing primitives for type checking.
Non-face-to-face writing class case study -Focused on peer feedback activities-

본 논문은 2020-2학기 창원대의 글쓰기 수업 사례를 통해 비대면 글쓰기 수업에서 동료 피드백 활동의 역할과 가치를 살펴보았다. 우선 학생들을 대상으로 실시한 비대면 수업 진단 설문 결과를 분석하여 비대면 수업에 대한 학생들의 인식을 엿보았다. 학생들은 과중한 과제와 상호 소통 부재를 문제점으로 들었다. 이러한 문제를 해결하기 위해서는 비대면 수업 상황에서도 대면 수업과 같이 쌍방향 소통이 활발히 이루어져야 한다. 이에 글쓰기 수업은 학습 무기력과 과제 부담을 덜어줄 협력 활동 제시, 동료 피드백 활동을 통한 능동적인 태도 함양, 그리고 상호 소통과 협력에 의한 글쓰기 효능감 향상을 수업 운영의 기본 방향으로 삼았다. 이런 기본 방향에 따라 학생들은 동료들과의 소통에 초점을 두고 글쓰기 전 과정에서 동료 피드백을 진행하였다. 먼저 내용 생성과 조직 단계에서의 구조화 과정을 상호 첨삭활동으로 진행하였다. 집필하기와 고쳐 쓰기 단계에서는 온라인 플랫폼을 활용한 쌍방향 댓글 달기를 진행하고 모둠별 온라인 합평하기로 논의를 확대하였다. 이렇게 비대면 글쓰기 수업 전 과정에서 동료 피드백 활동은 수업 운영의 주요한 방식으로 활용되었으며 학습자의 글쓰기 역량과 효능감에도 영향을 미쳤다.This thesis examines the role and value of peer feedback activities in non-face-to-face writing classes through the case of writing classes at Changwon University in the 2020-2 semester. First of all, by analyzing the results of the non-face-to-face class diagnosis questionnaire conducted for students, students perception of the non-face-to-face class was examined. Students cited many tasks and lack of communication as problems. In order to solve these problems, two-way communication must be actively conducted as in face-to-face class even in non-face-to-face class situations. Therefore, the basic direction of the class management was to suggest cooperative activities to relieve the burden of learning helplessness and task, to cultivate active attitudes through peer feedback activities, and to improve the writing efficacy through mutual communication and cooperation. Following this basic direction, students focused on communication with peers and provided peer feedback throughout the writing process. First, the structuring process at the content creation and content organization stage was carried out as mutual correction activities. In the writing and rewriting phases, interactive commenting was conducted using an online platform, and discussions were expanded to co-operate online for each group. In this way, in the entire course of non-face-to-face writing, peer feedback was used as a major method of class management, and it affected the learner s writing competencies and sense of efficacy.
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia

Contextual advertising provides advertisers with the opportunity to target the context which is most relevant to their ads.The large variety of potential topics makes it very challenging to collect training documents to build a supervised classification model or compose expert-written rules in a rule-based classification system.Besides, in fine-grained classification, different categories often overlap or cooccur, making it harder to classify accurately.In this work, we propose wiki2cat, a method to tackle large-scaled fine-grained text classification by tapping on the Wikipedia category graph.The categories in the IAB taxonomy are first mapped to category nodes in the graph.Then the label is propagated across the graph to obtain a list of labeled Wikipedia documents to induce text classifiers.The method is ideal for large-scale classification problems since it does not require any manually-labeled document or hand-curated rules or keywords.The proposed method is benchmarked with various learning-based and keyword-based baselines and yields competitive performance on publicly available datasets and a new dataset containing more than 300 fine-grained categories.
Fuzzy Control in Cyber-Physical Systems

Controllers are devices regulating the operation of other devices or systems. Fuzzy controllers analyze the input data in terms of variables which take on continuous values in the interval [0, 1]. Since fuzzy logic has the advantage of expressing the solution of the problems in the natural language, the use of fuzzy instead of traditional controllers makes easier the mechanization of tasks that have been already successfully performed by humans. In the present paper a theoretical fuzzy control model is developed for the braking system of autonomous vehicles, which are included among the most characteristic examples of Cyber-Physical Systems. For this, a simple geometric approach is followed using triangular fuzzy numbers as the basic tools.
Tutor Support Of Project Activities During Their Skailing Up At The University

The relevance of research is connected with scaling up of students' project activities in Yaroslav-the-Wise Novgorod State University.This determined the necessity of analysis and creating the action strategy in accordance with massive tutor reporting.Free form report is uninformative, time consuming and difficult to study in this situation.The aim of this article is to create and to define the abilities of using pre-worked out according to methodology criteria of tutor's report for its next analysis, as well as of maintaining the focus on professional responsibility for all the main activities of tutor, who supports student project teams based on NTI University 20.35 model.The competence approach in education defines the methodology basis; the main principles are advance, compliance of education with scientific and technological progress, individualization.Experiment and questioning with its next analysis and systematization are among the research methods.The article shows the reference indexes for tutors, their criteria and methodological justification: the team motivation, team dynamics, the level of goal setting and mindfulness, student subjectivity.Their effectiveness for different process participants, such as tutor, supervisor, student, is analyzed and evaluated.It can be useful when these subjects of educational process occur on a massive scale.The article is intended for governing structures, teachers, and tutors of both secondary and high education.
Pengaruh motivasi belajar terhadap self-regulated learning pada mahasiswa

The purpose of this study was to determine the significant effect of learning motivation on self-regulated learning in students of the guidance and counceling study program batch 2018 faculty of teacher training and science Satya Wacana Christian University, Salatiga. This study used a sample of 57 students. The method used was a questionnaire. The data analysis technique used in this study was simple linear regression with the help of the SPSS version 20.0 program. The simple linear test results show that learning motivation has no effect on self-regulated learning in students of the Guidance and Counseling Study Progrm batch 2018 FKIP Satya Wacana Christian Univesity, Salatiga. This can be seen from the results of the simple linear regression test on the Model Summary, it can be seen that the value of the Adjusted R square is 0.006 which means that it is 0.6%. The F count value is 0.312, P 0,579 &gt;0.05, so it can be concluded that there is no effect of Learning Motivation on Self-regulated in students of the guidance and counceling study program batch 2018 faculty of teacher training and science Satya Wacana Christian University, Salatiga.
Automatic Detection and Extraction of Lungs Cancer Nodules Using Connected Components Labeling and Distance Measure Based Classification

We introduce in this paper a method for reliable automatic extraction of lung area from CT chest images with a wide variety of lungs image shapes by using Connected Components Labeling (CCL) technique with some morphological operations. The paper introduces also a method using the CCL technique with distance measure based classification for the efficient detection of lungs nodules from extracted lung area. We further tested our complete detection and extraction approach using a performance consistency check by applying it to lungs CT images of healthy persons (contain no nodules). The experimental results have shown that the performance of the method in all stages is high.
Additional Reality: National Traditions In The Spiritual Experience Of The Information Society

In this work, the authors focus on the problem of the development of information and computer technologies in relation to the peculiarities of the development of the spiritual experience of society associated with folk culture and folk art.The article discusses the concept of "information society", substantiates the processes of attention to folk culture and applied creativity on the example of the realities of the Russian school system.The society of post-industrial reality, as a rule, gets acquainted with information to a greater extent in a ready-made format and in an unlimited amount.This is both an advantage of informational reality and its disadvantage.With the increasing standardization of information resources, the problem of a lack of creative thinking arises.The creative beginning in the modern world of the predominance of finished information products is becoming a deficit in the spiritual experience of mankind.The basis for the development of creative potential is folk culture, folk traditions.In theoretical terms, acquaintance with them and their development reflects the worldview of society, and in practical terms, they form technologies (tools and techniques) for processing various materials.Introduction to folk art reveals personal and social qualities, forms the regional identity, necessary in the period of globalization.The authors revealed an imbalance in attention to issues of folk culture in comparison with the number of sections devoted to the personal information culture in the analysis of educational standards of the secondary school curriculum for the subject "technology".
Information Credibility Evaluation in Presence of Users’ Safety in New Retailing

Understanding users’ safety perception of the credibility of web-based information has become increasingly important in the context of new retailing. This study extends the existing literature by exploring the factors influencing information credibility in the context of new retailing. Based on the technology acceptance model and the rational behavior theory, a theoretical model for the assessment of information credibility in new retailing was developed. We analyzed the factors influencing users’ safety preference toward information communication procedures and information credibility in new retailing based on two aspects: perceived information quality and user judgment motivation. The reliability and validity of the model measure were analyzed, and structural equation modeling was used to test the model hypotheses. The following results were obtained: (1) Authenticity, accuracy, and practicability positively affected the perceived information quality of new retailing information; (2) User judgment motivation had a positive impact on information users’ safety preference and information credibility; (3) Users’ safety preference positively affected information credibility; (4) Information acquisition, social interaction, and self-identity positively affected the perceived credibility of new retailing information.
Impact of Crisis Management Practices on the Effectiveness of Crisis Management of Drones Threats in Dubai International Airport

The aim of the study is to examine the impact of the crisis management practices (readiness, crisis awareness, crisis control, crisis response) on effective crisis management in Dubai Airport. The study belongs to positivism philosophy, deduction approach, quantitative methodology, empirical survey passed study, used cross-sectional data, and data is original. The target or study population chosen for this research is the total number of employees, both senior and junior staff working at the Dubai international airport. The reason for this is that if crises stuck, all will be affected, and they have a big role to play in managing crises. The actual sample size is 364 employees, and the distributed survey is 440, which is distributed by using face-to-face data collection methods in a convenient technique of sample selection. Overall, direct relationships for the four predictors of crisis management are significant; The precedence for the relations based on the path coefficient value is crisis awareness (0.319), crisis control (0.107), crisis readiness (0.368), and crisis response (0.283). Replicating the study in other airports is recommended to have a better generalization.
Internet Of Bodies: Digital Content Directive, And Beyond

JIPITEC 12 (2021) 2 - “Internet of Bodies” (IoB) is the new frontier of digital technologies challenging our lives as individuals and as a society. The European Union has not yet set up a coherent and complete regulatory framework dealing with the “Internet of Everything”. This paper aims at describing the possible implications of the new technologies in search for responsible legal reactions. After defining IoB and some uncomfortable problems raised by it, the paper faces the topic of what can law and policy do in order to provide a set of rules adequate for supporting sustainable data-driven technologies. The current legal framework is essentially designed by the Digital Content Directive, the Product Liability Directive and the product safety legislation framed into a multilevel layout, as set up by the New Legislative Framework and by the European Standardization System. The article argues that it is within this regulatory framework that new technologies should be controlled, although a substantial institutional revision of co-regulation in the light of plurality and transparency is still desirable.
Backtranslation Feedback Improves User Confidence in MT, Not Quality

Translating text into a language unknown to the text's author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility.We demonstrate this by showing three ways in which user confidence in the outbound translation, as well as its overall final quality, can be affected: backward translation, quality estimation (with alignment) and source paraphrasing.In this paper, we describe an experiment on outbound translation from English to Czech and Estonian.We examine the effects of each proposed feedback module and further focus on how the quality of machine translation systems influence these findings and the user perception of success.We show that backward translation feedback has a mixed effect on the whole process: it increases user confidence in the produced translation, but not the objective quality.
A Joint Training Approach to Tweet Classification and Adverse Effect Extraction and Normalization for SMM4H 2021

In this work we describe our submissions to the Social Media Mining for Health (SMM4H) 2021 Shared Task (Magge et al., 2021).We investigated the effectiveness of a joint training approach to Task 1, specifically classification, extraction and normalization of Adverse Drug Effect (ADE) mentions in English tweets.Our approach performed well on the normalization task, achieving an above average f1 score of 24%, but less so on classification and extraction, with f1 scores of 22% and 37% respectively.Our experiments also showed that a larger dataset with more negative results led to stronger results than a smaller more balanced dataset, even when both datasets have the same positive examples.Finally we also submitted a tuned BERT model for Task 6: Classification of Covid-19 tweets containing symptoms, which achieved an above average f1 score of 96%.
Development of Fructuweb “A Learning Website of Banten’s Exotic Fruits” to Support Local Potential-Based Learning in Digital Era

Teaching-learning in the 21 st -century is influenced by technological advances, such as the use of online media. In addition, based on Indonesia’s curriculum requirements, teaching-learning has to utilize the local potential of the environment. This study aims to develop a Fructuweb, a learning website with Banten’s exotic fruits as content to support local potential-based learning in the digital era. A 3D research and development methodology was used comprise of define, design, and develop. The subjects for expert validation were five lecturers, and for individually user response tests were four teachers and fifteen students of 10 th -grade representatives from senior high school in Serang city and Lebak district, Banten Province. Descriptive analysis were carried out to identify learning process and media need in schools at Banten, also to validate the feasibility of the website. The expert validation result has an average value of 95.1% for the content material aspect of Fructuweb and 92.7% for the media aspect; as for the user response (student and teacher) was 93.4%. These results indicated that the Fructuweb is very feasible to use as an online learning source.