Reviewerly/exHarmony huggingface dataset:
Some Miscellaneous Properties of Valuated Binary Tree

The paper proves several new properties of the valuated binary tree, including calculation of direct ancestors of a node, transition of a node in or out of a subtree, evaluation of a node by its brothers and distribution of common ancestors of given consecutive nodes. The contents can be a reference for future deep study of the valuated binary tree.
DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic

Sarcasm is one of the main challenges for sentiment analysis systems due to using implicit indirect phrasing for expressing opinions, especially in Arabic. This paper presents the system we submitted to the Sarcasm and Sentiment Detection task of WANLP-2021 that is capable of dealing with both two subtasks. We first perform fine-tuning on two kinds of pre-trained language models (PLMs) with different training strategies. Then an effective stacking mechanism is applied on top of the fine-tuned PLMs to obtain the final prediction. Experimental results on ArSarcasm-v2 dataset show the effectiveness of our method and we rank third and second for subtask 1 and 2.
TINDAK PIDANA JUAL BELI GAME ONLINE DI MASA PANDEMI

Online games are now increasingly popular and are widely played by various groups. Marketing Director of SEA PUBG Mobile, Oliver Ye stated that Indonesia is in the second position of active PUBG players at the international level. WHO has also included gaming disorder in the 11th Revision of the International Classification of Diseases (ICD-11). From a health aspect, online gaming causes a decrease in front brain waves which results in decreased ability to control emotions. So that it will cause mood changes quickly, irritability, difficulty concentrating, damage the eyes, and so on. Even economically, online games have the potential to plunge players into bankruptcy. It is not uncommon for a fractured household to lead to divorce as a threat.
Frame Analysis of Hate Speech issues in Selected Nigerian Newspapers

The study examined how Punch and Independent newspapers in Nigeria framed hate speech issue. The goals of the study were to determine the frequency, genre the stories appeared, sources for the framed stories and the type of frame they were depicted. Frame analysis was applied to a sample of 95 editorial items between 1st June, 2017 and 31st May, 2018. The study found that straight news and opinion articles were predominant in the coverage of the selected newspapers. Applying deductive approach to frame analysis, the study identified six frames – freedom, regulation, attribution of responsibility, action, conflict and economic consequences. Elites in the society were generally the sources for the frames. Second, attribution of responsibility frame proved that framing was a contest for definition of reality as the two political parties struggled to attribute the rise of hate speech to each other. Given that most of the sources of framed stories were from the elites, the study, therefore, concludes that the voices of ordinary Nigerians were marginalised and recommended that journalists’ sourcing system which gives undue voice to the elites should be reconsidered for a more inclusive one.
Getting the #Nokia 8110 4G and its ...

Getting the #Nokia 8110 4G and its MP3 player which can only get music by copying from the PC over USB made me revisit Media
THE EFFECTIVENESS OF THE PROBLEM BASED LEARNING MODEL ASSISTED BY BLOG ON THE LEARNING OUTCOMES OF CLASS IV IPS

Based on the result of preresearch in the form of observation, interviews, and data on learning outcomes conducted in the fourth grade students at Nyi Ageng Serang Cluster Elementary school in Semarang, it was known that the social studies learning outcomes were not optimal because the learning model and media used were also not optimal. Although the teacher had used problem-based learning model, the students still had difficulties to identify problems and the media in the form of A4 print out pictures were not enough to help them. This study aimed to test the effectiveness of problem-based learning model assisted by blog media on the social studies learning outcomes in fourth grade students at Nyi Ageng Serang Cluster Elementary School in Semarang. This research used quantitative approach with the experimental type and nonequivalent control group design. The sample technique used cluster random sampling, with population of 172 students. The data collection used tests, observations and documentation. The hypothesis test result showed that the value of tcount = 4.007, and ttable = 2.009, because tcount Eƒ ttable (4.007 Eƒ 2.009) which means that the problem based learning model assisted by blog media was effective to increase the social studies learning outcomes of the fourth grade students. The n-gain test result of the experimental group was 0.40 categorized in medium criteria, whereas the n-gain test result of control group was 0.15, categorized in low criteria. The observation of students' activities using observation sheets showed the average score of the activity of experimental class students was 82%, which is better than the control class that only got 64%. The conclusion of this research is that the problem-based learning model assisted by blog media was effectively used in social studies learning in fourth grade students at Nyi Ageng Serang Cluster Elementary School in Semarang.
Some Aspects of Ai-Technologies in Education

The article is mostly theoretical, bears a review character and is devoted to the description of artificial intelligence (AI) and its role in the life of the modern learning society. The article partly goes into the history of Artificial Intelligence development. The definition of ARTIFICIAL INTELLIGENCE is specified; its functions are stated; its benefits are described.
LibGuides: LSC504: 6th Grade English with Mrs. B. by Patricia Bastia: Important Links to Help You in Middle School

Welcome to 6th Grade English. Pull up a comfy chair and let's find your next great read! This is where you'll find information about RI Middle School Book Awards, Read Across Rhode Island, your summer work packet, authoritative research sites and more!
FUTURE IT-ENGINEERS’ MOTIVATION AND SELF-ESTEEM IN FORMING THEIR READINESS TO USE ESP

This article is fixed on motives and self-esteem of future IT-engineers. They should be taken into account by ESP lecturers while preparing teaching material. It is important to consider them and provide students with the material they need in their future professional activity. The rise of the motivation and self-esteem exponents is proved by the results obtained at the beginning and at the end of the experiment. Person-oriented teaching ESP on the basis of multi-level approach has been an efficient means in achieving the set goals.
Improving Classification Models Using the Frequency of Terms and a Percentage Relation Approach Between Classes for Emergency Calls

The analysis of informal texts is essential in text mining applications, such as the classification ones. The division of classes into informal and non-structured text is necessary because it is possible to extract knowledge for each category. The problem emerges in languages because those have high dimensionality. Therefore, the complexity should be reduced by applying techniques that include dimensionality decrease. Based on these arguments, a technique that is pruning the words in medium and long texts was applied through its frequency in all documents, and frequency in each class. This study aims to determine irrelevant and relevant terms that proper fit for each category and to improve the classification performance. This study, including a four-step methodology: i) data preprocessing, ii) analyzing term frequency, iii) reduction language dimensionality, and iv) classification model structuring. For this, a series of experiments were proposed to determine the word frequency threshold, with a decisive index that establishes the words to be eliminated or conserved. The experimentation showed that the application of the word pruning approach significantly improves the performance of the binary classification according to its evaluation measures.
SWU-NIRPV: a near-infrared pose variation face database and pose-invariant face recognition

Near-infrared (NIR) face recognition (FR) has demonstrated robustness against changes in ambient illumination, which makes it suitable for surveillance even under weak illumination conditions. However, the existing database for NIR FR only contains frontal face images, and the impact of pose variation on the robustness of NIR FR remains unascertained. We developed an NIR face database with 57 pose variations in a dark environment, which can be used in pose-invariant FR research. Convolutional neural networks (CNNs) were designed and tested in comparison to the traditional method in the database. The experimental results showed that a difference of even 10 deg between the gallery and testing sets can dramatically reduce the recognition performance. Additionally, an average accuracy of 90.58% was obtained for pose-invariant recognition by employing more pose variations in the gallery set using the CNN-based method.
An Analysis of the Intelligent Interactive Mode of College English Based on Superstar Learning

As a product of the in-depth integration of information technology and classroom teaching, smart classroom is the carrier of intelligent interactive mode, which can realize classroom structure reform and precise teaching. Intelligent interactive mode is a new way and choice of college teaching at present. The exploration of intelligent interactive mode and the application of intelligent interaction in the three aspects of college English courses show that the intelligent interactive mode has a promoting effect on the intelligence of college English classroom teaching and the development of personality.
Kor FAIR er norske språkdata

Presentation at the online Faglig seminar for spraksamlingane, 19.11.20 - 20.11.20, arranged by University of Bergen.
Data Weighted Training Strategies for Grammatical Error Correction

Recent progress in the task of Grammatical Error Correction (GEC) has been driven by addressing data sparsity, both through new methods for generating large and noisy pretraining data and through the publication of small and higher-quality finetuning data in the BEA-2019 shared task. Building upon recent work in Neural Machine Translation (NMT), we make use of both kinds of data by deriving example-level scores on our large pretraining data based on a smaller, higher-quality dataset. In this work, we perform an empirical study to discover how to best incorporate delta-log-perplexity, a type of example scoring, into a training schedule for GEC. In doing so, we perform experiments that shed light on the function and applicability of delta-log-perplexity. Models trained on scored data achieve state-of-the-art results on common GEC test sets.
Corruption in the Fourth Estate: How the Guardian exposed phone hacking and reneged on reform of press regulation

This chapter explores an important period in the Guardian’s history: the phone hacking scandal and the Leveson Inquiry into the culture, practices and ethics of the press. For four years (2009–13) the Guardian fought first to expose criminality and corruption in the press that had infected the police and the world of politics, and second to secure meaningful reform of press regulation. For this it received considerable praise. Then, without explanation, it dropped the issue, and when Parliament implemented the Leveson recommendations on the regulation of the press, it refused to participate. The effect of this was to make the newspaper complicit in the very cover-up it had set out to expose. This chapter reviews the events and examines a range of possible factors, including professional/industry dynamics, the state/security context and the commercial/business backdrop, that might explain why the Guardian changed its mind about such a crucial debate.
LIBRARY MATERIAL COLLECTION AS ASPECT OF MAIN STRENGTH IN LIBRARY INFORMATION SERVICES : THE ROLE OF LIBRARIAN IN MAINTAINING LIBRARY MATERIAL COLLECTION I INDONESIAN LIBRARY

The research aims to find out: (1). The maintenance of library collections. (2). The role of the librarian in maintaining library collections. The object of research relies on the content of the role of librarians in maintaining library collections. The scope of the study focuses on the realization of the role of librarians in excellent service by preserving the collection of library materials. Research using a historical approach is characterized by critical inquiry. The method of finding data is library research using qualitative descriptive analysis and content analysis and observation to support theoretical construction. The results of the study are; (1). The urgency of maintaining library material collections include; (a). The collection of library materials is primary in the library system (b). Procurement of literature requires expensive costs and sometimes even difficult to obtain. (C). The value of the information contained therein is very high and cannot be measured with material. (2). The role of librarians in maintaining library collections includes: (a). librarians play a role in mastering the management of library collection preservation that is capable of making effective planning and prevention. (b). Librarians play a role in having understanding, knowledge, expertise and skills in the management of the collection of library materials, so that they are able to play an active role in the prevention, mitigation of damage and loss caused by natural disasters, natural disasters and humans. (c). Librarians play an active role in controlling the safety factors, actions and methods in dealing with damage to library collections caused by natural, natural and human disasters
The Role of Social Media in Police-Community Relations

Social media. These two words evoke different thoughts in everyone; some positive and for others, clearly negative. No matter what the personal feelings are towards social media, the fact remains that it has become an integral part of modern life. From Facebook to Twitter, young to old, male to female, and every demographic across the country, approximately 81% of people utilize social media (“Percentage,” n.d.).Law enforcement can no longer rely on print and local television to disseminate their message. To keep with current social and technological trends, law enforcement agencies should use social media to communicate with the communities they serve. If an agency is active on social media, it has a chance to quickly and accurately provide information and other communications directly to a large percentage of the population. These communications can be simple general information or a plea for help to solve criminal offenses.Agencies can show true transparency to their communities by putting out information about successes and failures via social media. At times, it seems the media attack officers and agencies for mistakes, especially when the agency attempts to keep them quiet. With social media, an agency can get in front of the issues and set the tone of the narrative of the incident before others can be negative and accusatory.By using social media in the previous manner, an agency can build and improve relationships with their communities. Once the public sees a true commitment to open and honest communication, they can truly trust their law enforcement agency. With that trust, every agency can undoubtedly see great success.
Innovations in Teaching Informatics of 1st Year Students and Integration of Knowledge within the Educational Process

Russian state educational standards (for discipline `Informatics') prescribe the formation of competencies: `using information and computer technologies' but this is studied in school as well as `solving problems of professional activity' - this will not be taught to freshman year. All this led to the decision to change part of the laboratory work of INFORMATICS to better take into account the Profile of a specific specialty and the Recommendations of international standards for Software Engineering. Demonstration program-presentation was developed for this approach. On its basis the students are given the task in the program Excel + VBA to create from scratch the robot model using methods of work, which were performed by a person in a demo-program. While introducing animation, some nuances of working out the rotation in Excel + VBA appeared. Taking them into account required the knowledge of the course of mathematics, taught to students in a related discipline.
DAMPAK MOTIVASI BELAJAR SISWA SD PADA MASA PANDEMI COVID-19 TERHADAP HASIL BELAJAR

The purpose of this study was to describe the impact of elementary student learning motivation during the Covid-19 pandemic on learning outcomes. This research is a descriptive quantitative study that focuses on evaluating learning using online media. The study population was all students at SD Karangpawitan Garut. While the sample was only 30 students, who were selected using simple random sampling technique taking into account the homogeneity of the population. The data collection instrument used an online learning questionnaire. Data analysis using descriptive statistics. The results illustrate the degree of closeness between motivation and learning outcomes during the pandemic in elementary school children in Karangpawitan Garut can be seen from the value of the contribution (contribution) X1 to Y seen from R = 0.845 and the coefficient of determination (R Square) = 0.715 including in the very strong category. This shows that learning outcomes are influenced by 71.5% of learning motivation. While the remaining 100% - 71.5% = 28.5% is influenced by other variables not examined in this study.
Neural computing and applications (NCAA) special issue on best of DICTA 2019 papers

This Special Issue presents extended versions of the best papers presented at the International Conference on Digital Image Computing: Techniques and Applications (DICTA) which is the flagship Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS). However, DICTA accepts submissions from researchers all over the world and attracts a significant number of international delegates each year. DICTA is technically cosponsored by the Institute of Electrical and Electronics Engineers (IEEE) and the Australian Pattern Recognition Society (APRS). DICTA 2019 was held in Perth, Western Australia, from 2 to 4 December 2019. All papers accepted and presented at DICTA 2019 are included in the IEEE Xplore digital library.Each paper submitted to DICTA 2019 was reviewed by three experts in a double-blind review process. Based on comments from the three reviewers and assessments of the Program Chairs of the conference as well as the Guest Editors, authors of 17 papers were invited to submit extended versions of their work to this Special Issue of Neural Computing and Applications (NCAA). Each submitted paper went through a peer review process again, and 10 papers were finally accepted for publication in NCAA.
An Analysis of Idiomatic Translation in Novel's Titles Published by Gramedia

This study purposed to identify and describe techniques, methods, and ideology oftranslation, especially in the idiomatic translation area. Thus, it aimed to observe the impacton the quality of translation from the aspect of accuracy, acceptability and readability of thesource data. Translated novels are very much in demand since the stories are impressive andthe translated is perfect. Translated novels could be the most appropriate source to analyzefor the research, especially for those who have literature study background. In Indonesia,Gramedia becomes the most well-known publisher that simultaneously releases variousbooks, fiction and non-fiction. It has quite several translators in its scope of work to publishtranslated novels. The translators have experienced and have a very professional style oftranslation in each work (novel). The idiomatic translation is one of the standard translationtechniques used to translate languages from source language to target language. This studyexamines the idiomatic translation found in the titles of translated novels published byGramedia publishers. The purpose of this study is to find out and analyze what idiomatictranslation methods are contained in these titles and find out whether the translation resultsfrom Source Language (SL) to Target Language (TL) have equivalent meaning or not. Theprocess of collecting data is done by collecting Gramedia translation novel titles that haveidiomatic meanings. In this study, thirty titles of translated novels were analyzed. This paperapplied five strategies stated by Baker's theory of strategies for translating idioms; using anidiom of similar meaning and form strategy, using an idiom of similar meaning but differentform strategy, translation by paraphrase strategy, translation by the omission of a play on,and translation by the omission of the entire idiom. Of the thirty titles, the analysis resultsshow that not all translations results feel natural and equivalent in meaning.
Block-modular constructor as a tool of the learning community of teachers for designing educational events

The purpose of the article is to substantiate a block-modular constructor as a tool to overcome the costs of the traditional approach to design lessons. It is noted that it is applicable not only in the individual work of a teacher, but also in the activities of learning communities of teachers. The authors explain that an educational event as opposed to a traditional formal event can become personally significant and saturate educational activity with new discoveries, meanings and values. It can actualize the subjectivity of its participants. This is made possible by the selection of original and relevant content, which launches the engines for the appropriation of new knowledge – interest and surprise. The design and organization of the educational event, the revision of the ways of exchanging information and communicating with participants are also important. The article describes an approximate algorithm for working with a block-modular constructor, and also offers a navigator for designing an educational event, which allows teachers to work out its organizational, content and motivational components. A plan is presented that teachers can rely on in the joint development of an educational event, techniques of reflection and feedback are given to help the mentor of the learning community of teachers. In general, the idea of our article is to interest learning communities of teachers and their mentors in the possibilities of turning traditional formal events into personally significant educational events and collaboratively design educational events using a block-modular constructor.
ПРИЧИНЫ И ПУТИ РАЗРЕШЕНИЯ ПЕДАГОГИЧЕСКИХ КОНФЛИКТОВ В ВЫСШЕМ УЧЕБНОМ ЗАВЕДЕНИИ

The article highlights the objective and subjective reasons for the emergence of pedagogical conflicts in a higher educational institution. The objective and subjective socio-psychological determinants of pedagogical conflicts are described. The main methods for resolving a conflict situation.It is noted that a competently conducted psychological analysis will help to find not only options for resolution, but also possible ways to prevent or extinguish pedagogical conflicts. It is shown that the process of forming a teacher's practical readiness to resolve conflicts among students is individually creative, step by step and systematically organized..