Reviewerly/exHarmony huggingface dataset:
REVIEW OF THE BOOK: ILYIN A.N. EDUCATION AFFECTED BY REFORMS. MOSCOW: PUBLISHING HOUSE UNIVERSITY BOOK, 2020. 392 p.

The monograph is devoted to a critical understanding of the results of the reform of national education carried out by the liberalized government. First, an excursion is made to the initial stages of education reforms. An attempt is made to describe the existing appearance and essential characteristics of the modern education model. The reform is based on the idea of forming a qualified consumer, which leads to negative phenomena in education. The features of the commercialization of education at the level of school education and higher education are described. Criticism of consumer values in everyday educational practices, leading to the destruction of value educational guidelines, is given. The factors are given, the consequences of which are the moral and intellectual impoverishment of the country. Measures are proposed to improve educational reforms.
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task

In this paper, we present a system for the solution of the cross-lingual and multilingual wordin-context disambiguation task.Task organizers provided monolingual data in several languages, but no cross-lingual training data were available.To address the lack of the officially provided cross-lingual training data, we decided to generate such data ourselves.We describe a simple yet effective approach based on machine translation and back translation of the lexical units to the original language used in the context of this shared task.In our experiments, we used a neural system based on the XLM-R (Conneau et al., 2020), a pre-trained transformer-based masked language model, as a baseline.We show the effectiveness of the proposed approach as it allows to substantially improve the performance of this strong neural baseline model.In addition, in this study, we present multiple types of the XLM-R based classifier, experimenting with various ways of mixing information from the first and second occurrences of the target word in two samples.
Penggunaan Model Pembelajaran Jigsaw untuk Meningkatkan Hasil Belajar Matematika

&lt;p&gt;&lt;em&gt;The purpose of this study was to improve student learning outcomes in learning mathematics through the Jigsaw learning model. This research method is classroom action research using a cycle model. Each cycle consists of 4 stages, namely: planning, implementation, observation, and reflection. This research was conducted in 2 cycles which were divided into 4 meetings. At the end of each cycle, a post test or evaluation will be carried out to determine the level of achievement and completeness of students in learning. In the pre-cycle activities, the number of students whose score is 71 (KKM) is only 30% then in the first cycle it increases to 70% and in the second cycle the student learning completeness increased to 90%. Based on these results, it can be concluded that the use of the Jigsaw Learning Model can improve mathematics learning outcomes in fifth grade students of SDN 2 Sedayu.&lt;/em&gt;&lt;/p&gt;
IMPLEMENTASI DATATABLES SERVER-SIDE UNTUK MEMPERCEPAT LOAD HALAMAN PADA APLIKASI E-COMMERCE

Large amounts of data are a new challenge in Industry 4.0 at this time, where the data must be accessed and processed quickly by computers. Large data causes the data presentation process to be very long because all data must be processed in one go. So that we need a special technique so that the presentation of information runs quickly even though the data that must be subject to the number is very large. In general, the website requsets the server, if the server data system exists, the data will be sent by the server to the client according to the number of existing data processes. The more data sent by the server, the longer it will take the client to display existing data. In this research, we will try to use server-side processing datatables where all processes will be carried out on the server side and data is sent periodically to the client according to the input request or keyword. The conclusion of this research is that the data speed using server side processing techniques is 7,9 % of client side processing.
Peningkatan iptek guru TK melalui penggunaan aplikasi zoom untuk pembelajaran berbasis daring

The role of technology (science and technology) is currently very much needed as a means of conducting online learning. One of the technologies that can be applied in bold learning is the Zoom Meeting Cloud application. The purpose of this service is to provide training to kindergarten teachers in operating the Zoom Cloud Meeting application as a bold learning tool. The method used is in the form of training. The subject of the study are 6 orders of people and is a kindergarten teacher. The performance indicator in the implementation of this service program is 70% of participants can operate the Zoom Cloud Meeting application. Based on the results of the training, it shows that the training participants can be categorized into 2, namely participants who succeed in achieving 5 indicators (100%) with 2 participants and participants who reach 4 indicators (80%) with 4 participants in using the Zoom Cloud Meeting application. From this training the participants were greatly helped because the previous participants had not been able to operate the Zoom Cloud Meeting application but after the training participants were able to run the Zoom Cloud Meeting application.
TRIK DAN TIPS BERHASIL DALAM MATA PELAJARAN BAHASA INDONESIA SISWA KELAS V DAN VI MIS SINGKARAK KECAMATAN X KOTO SINGKARAK KABUPATEN SOLOK

Indonesian also functions as the language of instruction in educational institutions, from the lowest educational institutions (kindergartens) to the highest educational institutions (tertiary institutions) throughout Indonesia, except for areas that still use regional languages ​​as their mother tongue. In the world of Indonesian education, especially in the curriculum regardless of year, there must be Indonesian language learning subjects. Various problems solve partner problems, namely students who have difficulty understanding Indonesian language lessons because some students think that Indonesian subjects are very difficult subjects and students have not seen good tips and tricks for mastering Indonesian subjects, especially in facing national exams. (UN). The implementation of service activities is carried out by providing outreach to students in grades V and VI of the Singkarak Private Madrasah Ibtidaiyah with the method of lecturing, question and answer, and practice answering exam questions in Indonesian subjects. In general, participants can receive the material that has been presented by the resource person as an alternative solution to increase students' knowledge of tricks and tips that work in Indonesian subjects and can answer practice questions. Performance indicators of socialization activities, question and answer, and practice in answering exam questions can be seen from the level of student knowledge that is getting better. With the presentation of material from several resource persons, students are able to understand and see how to quickly answer Indonesian language exam questions because in essence there are 4 strategies for mastering the Indonesian National Examination (UN), namely looking for keywords, see the answer options first, Memorize characteristics, and do the fairly difficult problems first.
When learning Italian as a Second Language, tourism and technology go hand in hand

This paper aims to describe the development of CALL-ER, an application for mobile devices, produced within the CALL-ER project (Context-Aware Language Learning in Emilia Romagna). An ever-increasing availability of applications for language learning that meet the different learning needs of users, as well as the ubiquitous wireless communication, led applications for mobile devices to become gradually more context-aware. This means that language is acquired by users through the direct experience with the local context where they are. An example in this regard is represented by the CALL-ER mobile application, that supports mobility students through the incidental learning of Italian language and culture in the city of Forlì. We will begin this contribution with an outline of the theoretical underpinnings that supported the project and a presentation of the project itself. We will then present the first stage of the project, during which the application was developed before its first testing. At this point, an overall description of the application will be given. A special attention will be paid throughout this paper both to how language learning has been conceived through experiential tourism and to the multimodality of the contents.
Political Discourse Structure on Joe Biden's Acceptance Speech

Politic is a struggle for power to gain attention and persuade the audience. This study attempts to describe the political discourse on Joe Biden’s Speech. The data were taken from Joe Biden’s acceptance speech at the 2020 Democratic National Convention. The analysis of the data was conducted by a descriptive qualitative method. The writers tried to find the structure of political discourse in Joe Biden’s speech. The result of this study shows there are 8 topics found in Joe Biden’s speech, namely (1) Crises, (2) the country that everyone wishes to live, (3) missions of Joe Biden, (4) Joe Biden and Kamala Harris’s life story and family, (5) the campaign and election’s value, (6) Joe Biden’s reason for running as president, (7) Joe Biden’s opinion of his opponent, and (8) Joe Biden’s perspective about America. Each topic consists of some elements of political discourse structures: local semantic, lexicon, syntax, rhetoric, expression structure, and speech act and interaction. Therefore by considering the use of political discourse structure, the speaker able to persuade the audience.
MODEL-MODEL PEMBIAYAAN PENDIDIKAN (ANALISIS EFEKTIVITAS DAN EFISIENSI DALAM INSTITUSI PENDIDIKAN)

This study aims to describe the basic concepts of education financing and education financing models. The research methodology used is the library research method with analytic descriptive data analysis techniques. The results show that an effective and efficient financing model that can be developed is the Power Equalizing model and the Foundation Plan model because the Power Equalizing model is imposed on very rich districts to pay part of the school taxes they collect back into the state's pocket. The factors that influence the financing of school education are influenced by: 1) rising prices; 2) relative changes in teacher salaries (teacher's sallaries); 3) changes in population and an increase in the percentage of children in public schools; 4) increasing educational standards; 5) increasing age of children leaving school; and 6) increasing demands for higher education (higher education).
Improving Global Knowledge Centrality: The Role of Co-inventor Collaboration with China

We analyze the role of co-inventor collaboration with China and the USA on a country’s increase in centrality in global knowledge networks. Building on research in economic development, innovation, social networks, and institutional theory, we find that co-patenting with Chinese inventors is positively related to a country’s centrality in global knowledge networks and that this relationships is negatively moderated by collaboration with the current most central knowledge network, namely that of the USA. We also find a negative effect from intellectual property rights protection and high transparency on the relationship between a country’s centrality when collaborating with China. Regression analyses of a panel of 197 countries for the years 2002-2015 support these findings, which contribute to recent debates on knowledge networks and international cooperation. In terms of theory, we extend social networks approach on international business literature, focusing on what institutional characteristics are related to participation in knowledge networks. Regarding policy makers, our findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions.
SHAPELURN: An Interactive Language Learning Game with Logical Inference

We investigate if a model can learn natural language with minimal linguistic input through interaction.Addressing this question, we design and implement an interactive language learning game that learns logical semantic representations compositionally.Our game allows us to explore the benefits of logical inference for natural language learning.Evaluation shows that the model can accurately narrow down potential logical representations for words over the course of the game, suggesting that our model is able to learn lexical mappings from scratch successfully.
Rancang Bangun Aplikasi Pengelolahan Data Penempatan TKI Asal Timor Ke Luar Negeri Berbasis Web Studi Kasus (BP3TKI) Kupang

The Indonesian Worker Placement and Protection Service Agency (BP3TKI) has the authority to provide services for people who wish to run for Indonesian Workers (TKI). In this case, of course the BP3TKI Office has a lot of important data that will be well managed so that its integrity is maintained. All important data will be processed in the Placement section of the BP3TKI Office. In managing TKI data, the placement section uses Microsoft Excel which is managed by one person and only uses one Personal Computer (PC) unit in the placement section. Because the data is managed by one person with one PC and is not stored in the database, it is very possible that the data that has been managed will be lost if one day the PC in the placement section is damaged, this will make it difficult for the placement employee to find data when required return. For this reason, a "WEB-BASED DESIGN OF DATA PROCESSING APPLICATION FOR PLACEMENT OF TKI ORDER OF TIMOR ABROAD BASED ON WEB-BASED" was made. The method used in this system is the Waterfall Model. This system is designed based on Web, using PHP programming language and database storage media using MySql. It is hoped that this system can manage and store TKI data properly and safely and facilitate the data search process.
Rancang Bangun Sistem Informasi Rent Car Dengan Pengunaan Aplikasi Online

PT. Rent Car is one of the companies engaged in the rental car (rent a car). In the process of recording data, officials are still doing by entering the data into the general ledger, so it is considered less effective also make it difficult for the officer to make a report. When a customer wants to rent a car they want, they often feel disappointed because the car is limited and does not know the information about the car that wants to hire. The method used in this research includes methods of data collection and system development methods. Therefore, PT. Rent Car need a rental application system that can integrate the conventional rental system toward online rental system. And specification of software used to design a web-based information system that is using the programming language PHP scripts and to use MySQL database.
دور التعلم الممتع من خلال منهج الاقتصاد المنزلی فی تحسین الیقظة الذهنیة والانهماک بالتعلم لدى تلامیذ المرحلة الابتدائیة

ملخص البحث دور التعلم الممتع من خلال منهج الاقتصاد المنزلي في تحسين اليقظة الذهنية والانهماک بالتعلم لدى تلاميذ المرحلة الابتدائية هدف البحث الحالي إلى دراسة فعالية  التعلم الممتع من خلال منهج الاقتصاد المنزلي في تحسين اليقظة الذهنية والانهماک بالتعلم لدى تلاميذ المرحلة الابتدائية ، وتکونت أدوات البحث من مقياس اليقظة الذهنية ومقياس الانهماک في التعلم، وتوصلت نتائج البحث إلى  تحسن مستوى اليقظة الذهنية والانهماک بالتعلم لدى تلاميذ المجموعة التجريبية  عن تلاميذ المجموعة الضابطة وذلک بعد إجراء تجربة البحث ، ومن توصيات البحث ضرورة استخدام التعلم الممتع کمنحى تعليمي في تعليم الاقتصاد المنزلي وخاصة لتلاميذ المرحلة الأساسية الدنيا. الکلمات المفتاحية : -        التعلم الممتع   Enjoyable learning                  -        اليقظة الذهنية                              Mindfulness -        الانهماک بالتعلم learning engagement                    Abstract The role of enjoyable learning through the home economics curriculum in improving Mindfulness and learning engagement among Primary stage students The aim of the current research is to study the effectiveness of enjoyable learning through the home economics approach in improving mindfulness and learning engagement among elementary school students, and the research tools consisted of the mindfulness scale and the measure of involvement in learning, and the results of the research reached an improvement in the level of mental alertness and learning engagement among the experimental group students On the authority of students of the control group, after conducting the research experiment. Among the recommendations of the research is the necessity to use enjoyable learning as an educational approach in teaching home economics, especially for pupils in the lower elementary stage.
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering

In this paper we present multiple approaches for event detection on document and sentence level, as well as a technique for event sentence co-reference resolution.The advantage of our co-reference resolution approach, which handles the task as a clustering problem, is that we use a single neural net to solve the task, which stands in contrast to other clustering algorithms that often are build on more complex models.This means that we can set our focus on the optimization of a single neural network instead of having to optimize numerous different parameters.We use small densely connected neural networks and pretrained multilingual transformer embeddings in all subtasks.We use either document or sentence embeddings, depending on the task, and refrain from using word embeddings, so that the implementation of complicated network structures and unfolding of RNNs, which can deal with input of different sizes, is not necessary.We achieved an average macro F1 of 0.65 in subtask 1 (i.e., document level classification), and a macro F1 of 0.70 in subtask 2 (i.e., sentence level classification).For the co-reference resolution subtask, we achieved an average CoNLL-2012 score across all languages of 0.83.
A DIRECTIVE SPEECH ACT OF HATE SPEECH ON INDONESIAN SOCIAL MEDIA

Hate speech is not only about shared knowledge but also desires and hatred. The purpose of hate speeches is to give the addressee the knowledge unknown before and make them want something never thought of and feel something. This paper describes the type of illocutionary force of hate speech on social media in Indonesia. The utterances used as data have been stipulated by the Indonesian court violating Article 28 and 45a Information and Electronic Transactions Law or article 156a Criminal Code. This article found that the illocutionary forces of hate speeches on Indonesian social media are to express incitement, invitation, order, prohibition, criticism, and warning. The illocutionary functions of these acts are at (1) addressee's compliance upon the will of the speaker; (2) dismantlement of the identity that is the source of the speaker's hatred; or (3) elimination of hatred targets.
FEELING IN COVID TIME

In this work, a Learning-Service project that consists of working on somatosensory and special senses stimulation in people with intellectual and/or developmental disabilities is shown. This experience has been made through small and simple exercises, games or activities that allow these people to experience new sensations. In this activity, the participants have been students of Pharmacy and Education Degree and children of a special education school. The main aim is to develop the sensory and physical faculties and promoted the functionality of the person. University students had to encourage the students of special school to use their senses. For this task Pharmacy students had the help and advice of Education students. The sanitary situation obligates to develop this activity with a video calls. For both groups of students, this experience has been a different mechanism to learn and practice using a new way of communication. All Pharmacy degree students think that this experience is has been good for their future professional activity. The teachers from the Special Education Center indicated that these initiatives are very important for their collective.
What Matters when Turning Utopias into Material

With an increasing number of open laboratories for cultural and technical experimentation in place, questions arise regarding how and with what effects they come about, what they mean to those who partake and how they organize themselves in order to satisfy those involved.Recognizing the way that these spaces reach of alternative technologies and alternative ways of being we conceptualize them as materialized utopias, which are fragile socio-material arrangements.Rather than articulating grand utopian or ecotopian alternative societies, we look at materialized utopias as the gradual tweaking, probing and fixing of things.We elaborate on this with the study of "Test Site" a campus-based open space for experimentation in Helsinki designing with matters such as soap, compost or wood.We show that the thriving of this space is dependent on partly coincidental alignment with the institutional context and purposeful misunderstandings.However, its hybrid character being open to different interpretations does not only help to spur momentum but by the same token also leads to tensions internally as well as externally.Materialized utopias are then bound to be compromised, but in the best case scenario, turn unproductive anxieties into productive care taking of the socio-material surroundings.As the site is in the making, materials and events function as checkpoints and create legitimacy.
Disentangling Online Chats with DAG-structured LSTMs

Many modern messaging systems allow fast and synchronous textual communication among many users.The resulting sequence of messages hides a more complicated structure in which independent sub-conversations are interwoven with one another.This poses a challenge for any task aiming to understand the content of the chat logs or gather information from them.The ability to disentangle these conversations is then tantamount to the success of many downstream tasks such as summarization and question answering.Structured information accompanying the text such as user turn, user mentions, timestamps, is used as a cue by the participants themselves who need to follow the conversation and has been shown to be important for disentanglement.DAG-LSTMs, a generalization of Tree-LSTMs that can handle directed acyclic dependencies, are a natural way to incorporate such information and its non-sequential nature.In this paper, we apply DAG-LSTMs to the conversation disentanglement task.We perform our experiments on the Ubuntu IRC dataset.We show that the novel model we propose achieves state of the art status on the task of recovering reply-to relations and it is competitive on other disentanglement metrics.