Reviewerly/exHarmony huggingface dataset:
Training corpus ssj500k 2.3

The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is also annotated with semantic role labels. The morphosyntactic tags and syntactic dependencies are included both in the JOS/MULTEXT-East framework, as well as in the framework of Universal Dependencies.The annotations of the ssj500k corpus follow (1) the MULTEXT-East V6 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V6/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, the Universal Dependencies morphosyntactic specifications and syntactic dependencies for Slovene-SSJ, https://universaldependencies.org/, (4) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (5) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/The vocabulary of (1) and (2) is provided in the back element and (3), (4), and (5) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader.In contrast to the previous version 2.2, this version includes the corrected Universal Dependencies relations from UD version 2.8, updates the TEI encoding and adds UD annotations to the vertical file.
Effects of Virtual Reality Practice as Simulation-based Education on Multi Tasks of Nursing

Background: Nurses must make accurate decisions when caring for patients, even when multitasking. A wrong decision may endanger life. Student nurses are responsible only for single patients during their clinical practice. New graduates have minimal experience with multitasking. We developed a virtual reality (VR) multitasking simulation and evaluated its effectiveness. Methods: Student nurses prioritized tasks when caring for patients. We performed a randomized control trial enrolling senior nursing students who were randomly divided into two groups; thus, an interventional group (13 students) and a control group (performing a paper-based exercise; 14 students). The educational outcomes were measured by asking multiple-choice questions. Subjective confidence was assessed using a Visual Analog Scale. Results and Discussion: The educational outcomes did not differ significantly between the two groups. Subjective confidence was significantly higher in the intervention than in the control group. Conclusion: Although the VR simulation did not improve education, it significantly increased subjective confidence.
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms

Cigarette and e-cigarette advertisements often portray positive images of smoking behaviour, especially amongst younger generations. It portrays a lifestyle in which smoking cigarettes or e-cigarettes are normal and an important part of human lives. Images of cigarette smoking on social media platforms have played an influential role in encouraging people to smoke. There is a growing need of advanced mathematical models and machine learning techniques to monitor the portrayal of cigarette and e-cigarette use on social media platforms, as well as other harmful products to human health. In this study, we have annotated a set of 1,333 smoking images collected from a wide array of communication media. In addition, we evaluated three state-of-the-art segmentation algorithms including Mask R-CNN, Cascade Mask-R-CNN and Hybrid Task Cascade (HTC) by using the MMDetection framework to detect smoking images within our annotated dataset. The study plays an important role towards developing a practical monitoring system, which can inform policy actions to restrict unhealthy advertisements on social media and other related platforms. Finally, our evaluation results show that Mask R-CNN outperforms Cascade Mask RCNN and HTC in terms of Average Precision and Average Recall.
Análisis crítico de ambientes virtuales de aprendizaje. / Critical analysis of virtual learning environments.

RESUMEN Se analizaron las plataformas virtuales educativas mas usadas, resaltando funciones, caracteristicas, distribucion, enfoque, etc. Conceptualizando utilidad y servicios que ofrecen para docentes y estudiantes. Se encontro que las plataformas Canva, Desire2Learn y Sakai, son las mas completas, seguidas por Moodle y Blackboard; a diferencia de estas ultimas, las primeras no tienen soporte adecuado ni son ampliamente utilizadas. Respecto a Moodle, hay gran cantidad de complementos creados por usuarios; Blackboard es de pago; Edmodo carece de funciones, como el chat.ABSTRACT The most used educational virtual platforms were analyzed, highlighting functions, characteristics, distribution, focus, etc. Conceptualizing utility and services they offer for teachers and students. It was found that the Canvas, Desire2Learn, and Sakai platforms are the most complete, followed by Moodle and Blackboard; unlike the latter, the former does not have adequate support, nor are they widely used. Regarding Moodle, there are many add-ons created by users; Blackboard is a paid software; Edmodo lacks functions, such as chat.
Models and Tasks for Human-Centered Machine Translation

In this talk, I will describe current research directions in my group that aim to make machine translation (MT) more human-centered. Instead of viewing MT solely as a task that aims to transduce a source sentence into a well-formed target language equivalent, we revisit all steps of the MT research and development lifecycle with the goal of designing MT systems that are able to help people communicate across language barriers. I will present methods to better characterize the parallel training data that powers MT systems, and how the degree of equivalence impacts translation quality. I will introduce models that enable flexible conditional language generation, and will discuss recent work on framing machine translation tasks and evaluation to center human factors.
Blockchain-Based Cybersecurity Solutions for Industry 4.0 Applications

Industry 4.0 is a revolution bringing some concepts like the internet of things (IoT) and cloud computing in the global network. It benefits the modification of factories using latest technologies. Owing to the rapid growth of Industry 4.0 and related technologies, several cyberattacks came into existence. Security is an essential parameter for IoT development as the IoT is dominating every aspect of life. The goal of this chapter is to highlight the layered security architecture and working of the IoT. This work also throws light on the major threats and challenges faced by Industry 4.0 and other related technologies. Next, it outlines the proposed solutions that overcome cyberthreats in Industry 4.0. Further, this work highlights the need for blockchain technology in Industry 4.0 and presents a detailed discussion on various application scenarios.
IDIOMATIC EXPRESSION USED IN PRIDE AND PREJUDICE MOVIE’SSCRIPT AND ITS PEDAGOGICAL IMPLICATION

ABSTRACTLusiana, Anggun. Student Registered Number. 17203153060. 2019. IdiomaticExpression Used in Pride and Prejudice Movi’se Script and Its PedagogicalImplication. Sarjana Thesis. English Education Department. Faculty ofTarbiyah and Teacher Training. State Islamic Institute (IAIN) ofTulungagung. Advisor : Muh.Basuni, M.Pd.Key word : Idiomatic Expression, Pride and Prejudice Movie’s Script,Pedagogical Implication.Idiomatic expression are often used by native speaker when they arecommunicating. Idiom is an expression which can be a term or a group of wordwhose meaning cannot be deduced from literal definitions. There is a messagebehind the literal meaning that can be defined by contextual of situation.The formulations of the research problem were: 1) What are the types ofidiomatic expression revealed on the dialogue spoken by the characters of Pride andPrejudice Movie? 2) How does the idiomatic expression build the meaning andmassage of Pride and Prejudice Movie? 3) In what way the implication of idiomaticexpression found on Pride and Prejudice Movie contribute to pedagogy?The objectives of this research are: (1). To find out the types of idiomaticexpression revealed on dialogue spoken by characters of Pride and PrejudiceMovie. (2). To find out the idiomatic expression build the meaning and message ofthe Pride and Prejudice Movie. (3). To find out the pedagogical implication ofidiomatic expression found on Pride and Prejudice Movie.In this research, the researcher used a qualitative research in the type ofdescriptive method of the study to help analyzing the data the researcher makes.The object of this research is Pride and Prejudice movie which is England romancemovie directed by Joe Wright based on Jane Austen’s novel at the same name. Theresearcher used Boatner and Gate’s classification of idiom to collect the data relatedwith the idiomatic expressions found in Pride and Prejudice movie’s script. then theresearcher also used Halliday theory to analysis the message behind the meaning ofidiomatic expressions found in Pride and Prejudice Movie.The result if this research showed that there are 96 idiomatic expressionbased on Boatner and Gate’s classification consist of 45 leximic idioms and 51phraselogical idioms. In lexemic idiom there are subcategories that found on themovie, they are 30 verbal idioms, 12 adjective idioms and 3 adverbial idioms. Fromthe result above, the researcher got some implication of idiomatic expressionthrough movie to pedagogy based on the result of interview toward some lecturersof 4 main skills of English: speaking; listening; reading; and writing. Thepedagogical implication of idiomatic expression through the movie are : (1)Idiomatic expression Build up the student‘s culture awareness(2) increase Englishlearners self-confident in communication (3) Students understand the materials ofstudy deeply with idiomatic expression and the process of study become morecolorful (4) Easy to translate sentence or text written by native in to BahasaIndonesia.
Question Classification in Question Answering System using Combination of Ensemble Classification and Feature Selection

A Question Answering System (QAS) is a special form of information retrieval which consists of three parts: question processing, information retrieval, and answer selection. Determining the type of question is the most important part of QAS as it affects other following parts. This study uses effective features and ensemble classification to improve the QAS performance by increasing the accuracy of question type identification. We use the gravitational search algorithm to select the features and perform ensemble classification. The proposed system is extensively tested on different datasets using four types of experiments: (1) neither feature selection nor ensemble classification, (2) feature selection without ensemble classification, (3) ensemble classification without feature selection, and (4) feature selection with ensemble classification. These four kinds of experiments are carried out under the differential evolution algorithm and gravitational search algorithm. The experimental results show that the proposed method outperforms compared to state-of-the-art methods in previous researches.
SOCIO-PHILOSOPHICAL AND SOCIO-HUMANITARIAN ASPECTS OF THE PROBLEMS OF DISTANCE EDUCATION IN MODERN RUSSIA

The article presents a scientific and philosophical analysis of distance educational technologies, both traditional and innovative, based on socio-philosophical and general scientific methodology, examines the conceptual apparatus of traditional and innovative approaches, applied to modern educational processes, as well as using scientific and philosophical and socio-humanitarian reflection from the positions of the categories «form» and «content».
L2 Learners’ Perceptions of Online English Learning in the Post-Corona Era: Focusing on Affective Factors and Language Proficiency

This study aimed at identifying the variables linked to the perceptions of L2 online learning that can help instructors create the optimal learning environment to make up for academic losses due to the COVID-19 pandemic. The participants were 67 university students who majored in English education. Data was collected from the Quick Placement Test (QPT), self-assessed language proficiency, perceptions of online L2 learning questionnaires, the Foreign Language Enjoyment (FLE), and the Foreign Language Classroom Anxiety Scale (FLCA). The result indicated that grade effect was found between the learners before and after the coronavirus outbreak in terms of QPT mean scores, implying learning loss partially caused by the pandemic. Learners’ perceptions of online L2 learning had positive correlations with FLE and subjective task value. Last, the perceptions of online L2 learning were predicted by FLE and gender. Pedagogical implications are discussed in the conclusion.
(∈, δ)-Indistinguishable Mixing for Cryptocurrencies

Abstract We propose a new theoretical approach for building anonymous mixing mechanisms for cryptocurrencies. Rather than requiring a fully uniform permutation during mixing, we relax the requirement, insisting only that neighboring permutations are similarly likely. This is defined formally by borrowing from the definition of differential privacy. This relaxed privacy definition allows us to greatly reduce the amount of interaction and computation in the mixing protocol. Our construction achieves O ( n· polylog( n )) computation time for mixing n addresses, whereas all other mixing schemes require O ( n 2 ) total computation across all parties. Additionally, we support a smooth tolerance of fail-stop adversaries and do not require any trusted setup. We analyze the security of our generic protocol under the UC framework, and under a stand-alone, game-based definition. We finally describe an instantiation using ring signatures and confidential transactions.
Neural Network Modelling of the Information Behavior of Database Users Based on their Previous Interactions with the Search Results

Neural Network Modelling of the Information Behavior of Database Users Based on their Previous Interactions with the Search Results
The Algorithm for Minimizing Boolean Functions Using a Method of the Optimal Combination of the Sequence of Figurative Transformations

The reported study has established the possibility of improving the productivity of an algorithm for the minimization of Boolean functions using a method of the optimal combination of the sequence of logical operations applying different techniques for gluing the variables ‒ simple gluing and super-gluing.The correspondence of intervals I(α, β) in the Boolean space ẞnhas been established, given by a pair of Boolean vectors α and β, such that α≼β, with a complete combinatorial system with the repeated 2-(n, b)-designs. The internal components of the interval I(α, β) correspond to the complete 2-(n, b)-design system while external ones are determined by calculating the number of zeros or unities in the columns of the truth table of the assigned logical function. This makes it possible to use the theory of I(α, β) intervals in the mathematical apparatus of 2-(n, b)-design combinatorial systems to minimize Boolean functions by the method of equivalent figurative transformations, in particular, to perform automated search for the 2-(n, b)-design systems in the structure of a truth table.Experimental study has confirmed that the combinatorial 2-(n, b)-design system and the consistent alternation of logical operations of super-gluing the variables (if such an operation is possible) and the simple gluing of variables in the first truth table improves the efficiency of the process and the reliability of results from minimizing the Boolean functions. This simplifies algorithmizing the search for the 2-(n, b)-design system in the structure of a truth table of the assigned logical function, which would provide for the tool to further automate the search for the 2-(n, b)-design system. In comparison with analogs, it enables increasing the productivity of the Boolean function minimization process by 100–200 % by using an optimum alternation of operations of super gluing and simple gluing of variables by the method of equivalent figurative transformations.There are reasons to argue about the possibility to improve the productivity of the Boolean function minimization process by the optimal combination of the sequences of the logical operations of super-gluing the variables and the simple gluing of variables by the method of equivalent figurative transformations
A Note on Occur-Check.

Most known results on avoiding the are based on the notion of not subject to occur-check (NSTO). It means that unification is performed only on such pairs of atoms for which the never succeeds in any run of a nondeterministic unification algorithm. Here we show that this requirement is too strong. We show how to weaken it, and present some related sufficient conditions under which the may be safely omitted. We show examples for which the proposed approach provides more general results than the approaches based on well-moded and nicely moded programs (this includes cases to which the latter approaches are inapplicable).
Upwardly Abstracted Definition-Based Subontologies.

In this paper, we present a method for extracting subontologies from $\mathcalELH $ ontologies for a set of symbols. The approach is focused on the generation of upwardly abstracted definitions of concepts, which is a technique for computing definitions expressed using closest primitive ancestors. The subontologies returned by the method are evaluated for quality and compared to extracts computed with locality-based modularisation and uniform interpolation. Our subontology generation method produces promising results in terms of size and relevance to the needs of domain experts.
Formal Quantum Software Engineering: Introducing the Formal Methods of Software Engineering to Quantum Computing

Quantum computing (QC) represents the future of computing systems, but the tools for reasoning about the quantum model of computation, in which the laws obeyed are those on the quantum mechanical scale, are still a mix of linear algebra and Dirac notation; two subjects more suitable for physicists, rather than computer scientists and software engineers. On this ground, we believe it is possible to provide a more intuitive approach to thinking and writing about quantum computing systems, in order to simplify the design of quantum algorithms and the development of quantum software. In this paper, we move the first step in such direction, introducing a specification language as the tool to represent the operations of a quantum computer via axiomatic definitions, by adopting the same symbolisms and reasoning principles used by formal methods in software engineering. We name this approach formal quantum software engineering (F-QSE). This work assumes familiarity with the basic principles of quantum mechanics (QM), with the use of Zed (Z) which is a formal language of software engineering (SE), and with the notation and techniques of first-order logic (FOL) and functional programming (FP).
Need Analysis on Writing Skill: What Do The Students Really Need for Writing Course?

This study aims to investigate the needs of students in writing skills. In particular, this research attempts to explore the present situation, the target, and the learning needs for the writing course. Need analysis is conducted for deciding the goals and the objectives of the upcoming curriculum and for ensuring that the curriculum content ties the studentsâ€™ needs. A descriptive method was employed in this study. A questionnaire was used for collecting the data which then analyzed and described qualitatively. The respondents of this research were 176 students of English Education Department students who are mostly in the second semester. The results show that; firstly, in the present situation analysis, most of the students admitted that they were in the intermediate level of English; specifically, most of them have fair proficiency in writing. Next, in the target situation analysis, writing skill is the secondary need of the students in which grammar is the most priority needed by the students to be improved. Next, the studentsâ€™ purposes in learning English are to be a teacher/lecturer, translator, and tourism guide. Most of the students are more enjoyable for learning in the classroom that should be consisted of not more than 30 students. Thirdly, in the learning needs analysis, the students were interested to learn writing using discussion. For doing the writing task, the students require to have individual work. The learning media that is the most needed is PowerPoint presentation. In addition, the most important learning source that the students need is a hand-out and the topics of the material are about issues in Indonesia. Finally, the results of this research are expected to contribute to the curriculum development at the English Education Department of UIN SAIZU.&#x0D;
Be conscious of what your research could be used for

Developed in response to conversations about a continuum of supportive and enabling versus dispiriting and demoralising academic institutions, this book summarises 100 tips and good practices that enhance researchers' engagement and could lead to more and better-quality research output.
Enhancement of Low-Light Images Using CNN

Low-light enhancement is a challenging task because multiple factors like color, brightness, artifacts, noise, etc., need to be simultaneously and effectively handled. To address this complex problem of multiple issues, this paper investigates denoising and thus enhancement of the low illuminated images using different techniques like bilateral filtering, total variation denoising, histogram equalization, log transformation, gamma correction and convolutional neural network (CNN). The enhanced images with these methods are analyzed subjectively and objectively using parameters like MSE, PSNR and SSIM.
Long Character English Aided Translation Model of Foreign Related Contract Based on Feature Extraction Algorithm

The existing translation models have the problem that the task of translation thread is not clearly divided, which leads to the time-consuming of model translation. This paper designs a long character English aided translation model of foreign related contract text based on feature extraction algorithm. The feature vector of the characters to be recognized is extracted to recognize the long character structure of the foreign related contract text. Based on the feature extraction algorithm, the translation thread task is divided, the context of execution module and translation module is switched, the ambiguity of word segmentation is judged according to the syntactic and semantic information, the auxiliary word segmentation mode is set by gradient descent method, and the automatic alignment function of English auxiliary translation module is designed, to realize the construction of long character English auxiliary translation model of foreign related contract text. Experimental results: the average translation time of the designed model is 3.555s, which is 1.640s and 1.707s shorter than the two existing translation models, which proves that the performance of the model is better.