Reviewerly/exHarmony huggingface dataset:
Context-Interactive Pre-Training for Document Machine Translation

Document machine translation aims to translate the source sentence into the target language in the presence of additional contextual information.However, it typically suffers from a lack of doc-level bilingual data.To remedy this, here we propose a simple yet effective context-interactive pre-training approach, which targets benefiting from external largescale corpora.The proposed model performs inter sentence generation to capture the crosssentence dependency within the target document, and cross sentence translation to make better use of valuable contextual information.Comprehensive experiments illustrate that our approach can achieve state-of-the-art performance on three benchmark datasets, which significantly outperforms a variety of baselines.
Product Sentiment Analysis Using Particle Swarm Optimization Based Feature Selection in a Large-Scale Cloud

Cloud computing is evolving by shifting its services out of the applications of the firewall, storage, services, and applications that are accessible on the web.After this, the services will be used with the help of the Internet and paid according to the user's/customer's needs.Big data can be efficiently and economically analysed using Cloud computing.Sentiment Analysis deals with study of opinions, and is based on the emotions, attitudes, and opinions of this entity.The objective of the proposed work sentiment analysis using Particle Swarm Optimization (PSO) algorithm based on new Feature Selection (FS) method.FS method is quite complex and a demanding task in terms of computation more so for a high dimension dataset.Swarm Intelligence (SI) is techniques capable of solving computational problems that are NP-hard (Non-Deterministic Polynomial time).It is gaining plenty of popularity to solve the problems of optimization and FS.Particle Swarm Optimization (PSO) is used widely for solving problems of optimization and also the problems of FS.The Support Vector Machine (SVM) analyses data and further identify patterns utilized for classification purposes.In this work, a PSO-based FS is proposed for product sentiment analysis.The classification accuracy achieved by PSO based FS is higher by 5.93% and by 6.91% for 20% training when compared to IG and GA based FS, respectively.Similarly, classification accuracy achieved by PSO based FS is higher by 3.65% and by 0.89% for 80% training when compared to IG and GA based FS, respectively.
Relative stability toward diffeomorphisms indicates performance in deep nets*

Abstract Understanding why deep nets can classify data in large dimensions remains a challenge. It has been proposed that they do so by becoming stable to diffeomorphisms, yet existing empirical measurements support that it is often not the case. We revisit this question by defining a maximum-entropy distribution on diffeomorphisms, that allows to study typical diffeomorphisms of a given norm. We confirm that stability toward diffeomorphisms does not strongly correlate to performance on benchmark data sets of images. By contrast, we find that the stability toward diffeomorphisms relative to that of generic transformations R f correlates remarkably with the test error ϵ t . It is of order unity at initialization but decreases by several decades during training for state-of-the-art architectures. For CIFAR10 and 15 known architectures we find <?CDATA ${{\epsilon}}_{\text{t}}\approx 0.2\sqrt{{R}_{f}}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>ϵ</mml:mi> </mml:mrow> <mml:mrow> <mml:mtext>t</mml:mtext> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mn>0.2</mml:mn> <mml:msqrt> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>f</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:msqrt> </mml:math> , suggesting that obtaining a small R f is important to achieve good performance. We study how R f depends on the size of the training set and compare it to a simple model of invariant learning.
EVALUASI KEBUTUHAN AIR IRIGASI DENGAN APLIKASI CROPWAT 8.0 DAERAH IRIGASI AMPING PARAK

The prediction of water requirement is important in planning and managing irrigation system. Based on this case, this study aims to evaluate water requirement of irrigation to obtain the prediction of maximum value of water requirement. The research took place in Irrigation Area of Ampiang Parak at Pesisir Selatan Regency with the area was 2,363 hectares. The descriptive qualitative analysis approach was used to collect the data by using observation, interview and taking of primer and secondary data. The tabulation of data used Cropwat version 8.0 software to analyze water requirement values. The result of this research the calculation of water requirement values using Cropwat version 8.0 software are 4.772 m3/sec in MT 1, 4.770 m3/sec in MT 2, and 5.05 m3/sec in MT 3. The data shows that irrigation area may not have dryness. However, there is some area that is rainfed. Based on observation at Irrigation Area of Amping Parak there are leaking lines, and there are area irrigations that have not connected according to irrigation area of Amping Parak scheme.
Innovative Development Of School Education In Cross - Multidimensional Environment

The article presents the concept of innovative development of school education in cross-multidimensional environment as a new reality of modern education.It was revealed that the results of educational activities are increased through constructing effective innovative dialogue models of interaction with digital, technological, ethno-cultural, axiological, semantic, and event-driven environments.Special attention in the article is paid to the features of the innovative pedagogical activities of a teacher who is a subject of cross-multidimensional relations.It determines the possibility of posing and solving a serious scientific problem of innovative improvement of educational activities in regards to the factors and potential of the cross-multidimensional environment.In this case, the key idea could be an assessment of the innovative pedagogical reality arising from the interaction and intersection of the educational environment with other environments.The implementation of the innovation process implies the creation of an effective organizational structure, the development of an appropriate innovation policy, the determination of priority directions, and routes for advancing to the required parameters of the innovation environment.A number of recent federal documents on conceptual and strategic planning state the need for innovative transformations aimed at giving the national education system the properties of competitiveness and compliance with global challenges and trends in the economy, social, scientific and technological spheres.Understanding the mechanisms of designing an innovative educational process in a cross-multidimensional educational environment determines the place and role of the teacher in this process.
Error Analysis Of Indonesian Grammatical Interference In Students’ English Composition

The first language (L1) of learners has a significant effect in learning a foreign language. The influence of L1 could become errors, that is called interference. The main purposes of the study are to identify the most dominant type of language interference and the factors contribute to language interference in students’ English composition. The data were collected from 67 Second Grade Students of Plantation Management Study Program in State Polytechnic of Agriculture, Samarinda for the Academic Year 2019/2020, and taken through elicitation technique and documentation, and then analyzed the errors. The result of the study shows that the type of grammatical interference comprise morphological errors and syntactical errors were the most troublesome areas of language that students encountered when conducting composition in English. Since the main focus of the study is L1 interference, only errors related to Indonesian as L1 interference were addressed.
Teaching Liberal Education Using Virtual Reality

With the development of virtual reality technology, the opportunity of using virtual reality to assist teaching has received much attention from numerous scholars and experts.This paper discusses the methods, advantages, and challenges of adopting the virtual reality technology in the university's liberal education courses.It includes an in-depth review of similar studies and covers two major theories about knowledge acquisition, namely, Constructivism and Flipped classroom.This paper also uses the course: "Overview of Spanish-speaking Countries" as an example to explain the feasibility, advantages, and possible challenges in using virtual reality to teach Spanish culture.During the explanation, the idea of the VR-based Spanish culture learning platform is also presented.This research should provide insights into the virtual reality education field about the way to adopt virtual reality in university's liberal education courses and provide a solid foundation for further research and practice.
The Development of E-Book Based on Modified Free Inquiry on Ecology Topic to Train Critical Thinking Skills in Class X High School Students

The development of information and communication technology (ICT) which intensively provides convenience and practicality in implementing learning activities, especially during this pandemic, which requires learning to be done online. However, this does not prevent students from having critical thinking skills in the 21st century. Students' critical thinking skills can be trained using a modified free inquiry model because students are required to independently find answers to existing problems. Modified free inquiry model is the collaboration or modification of both the guided inquiry and the free inquiry model. Therefore, the use of technology is very necessary to prepare teaching materials that can train critical thinking skills. The purpose of this research was to develop e-book based on modified free inquiry on ecology topic to train critical thinking skills that are valid theoretically and empirically. This research used 4D development model (Define, Design, Develop, and Disseminate), without a dissemination stage. The e-book developed was tried out limited on 10 students of SMAN 19 Surabaya grade 10th. The validity of the e-book is determined from the validation results of experts (education experts and material experts) and biology teachers in terms of presentation, content, and language components. The practicality of the e-book is determined by student responses. The data analysis technique was carried out by descriptive quantitative. The results of the validity analysis showed an average percentage of 93.93% with a very valid category, while the results of the student responses obtained an average percentage of 98.88% with a very feasible category. Thus, it can be concluded that the modified free inquiry e-book on ecology topic to train critical thinking skills in class X high school students could be used in biology learning.&#x0D; Keyword: E-book, modified free inquiry, Critical thinking, Ecology
Perbandingan Algoritma K-Nearest Neighbour (KNN) dan Naive Bayes pada Intrusion Detection System (IDS)

Machine learning techniques are widely used to develop Intrusion Detection Systems (IDS) to detect and classify cyber attacks at the network level and the host level in a timely and automated manner. However, many challenges arise as malicious attacks are constantly changing and occurring in very large volumes requiring a scalable solution. Therefore, this study conducted a comparison of the K-Nearest Neighbor (KNN) and Naive Bayes algorithms. The dataset used in this study is the Ddos features-IDS 2017 dataset published in 2019. This research analyzes the comparison of methods generated from the classification process based on metric accuracy, specificity and sensitivity parameters. The classification process using the K-Nearest Neighbor (KNN) and Naive Bayes algorithms, it can be concluded that the results of the three tests with a percentage split of 60%, 70% and 80% show that the K-Nearest Neighbor (KNN) algorithm gets a higher value than Naive Bayes except the error rate because the error rate indicates that the data failed to be classified properly. Testing on a percentage split of 60% KNN parameter accuracy gets a value of 99.53%, specificity 94.05%, sensitivity 75.20%, testing on a percentage split 70% KNN parameter accuracy gets a value of 99.69%, specificity 94.59%, sensitivity 78.40% and testing on percetage split 80%, KNN parameter accuracy parameter got a value of 99.70%, specificity 94.44%, sensitivity 75.85%.
Malaysian and Indonesian Batik: The Best Practices

Malaysian artisans continue to produce crafts and visual art based on a well-tried formula: an inherited framework determined by tradition. However, new ideas and expressions are constantly being developed—with the only real limit being the imagination of the artist/craftsman. Batik sits uniquely in Indonesian culture as it has been declared by the United Nations Educational, Scientific and Cultural Organisation (UNESCO) as its cultural heritage and has been awarded ‘Best Practice’ in its education and production of batik (Kepres, 2009). Indonesia also celebrates its National Batik Day on October 2nd every year. The word batik in Malaysia generally describes the process of decorating cloth using the block printing (cap) or hand-drawn (canting) techniques, or a combination of both. The method of dyeing and coloring varies with the use of materials of various textures, such as cotton, silk, rayon and organza. It may also be identified by the range of traditional designs and motifs used. Batik has become a symbol of national pride and a form of attire for all races. Batik is ingrained in Malaysian culture. Indonesia is aggressive in its efforts in promoting batik as a national identity. The love for batik is instilled through batik-related subjects offered at primary and secondary school levels. In Malaysia, education about batik is introduced at the secondary level.&#x0D; Keywords: Malaysian and Indonesian batik, best practices
The Development of a Flip Book as an Online Learning Media

This study aimed to design a flip book as a learning media using the flipbook builder application. The purpose of designing this learning media was to support the online learning process. This study used the ADDIE development model which consists of five stages, namely analysis, design, development, implementation, and evaluation. The products were validated by media experts and material experts. The learning media was tested on small groups and large groups. Qualitative data were converted into quantitative data which were then tabulated and analyzed in a quantitative and qualitative descriptive manner to determine the quality of the product being developed. The results showed that the learning media that was developed is good quality.&#x0D; Keywords: Learning media, flip books, online learning
Backward Design for LSP: Domain Analysis as a Consistent Research Framework for a Necessarily Decentralized Field

This conceptual article examines current approaches to languages for specific purposes (LSP) course design, including the American Council on the Teaching of Foreign Languages (ACTFL) backward design model and needs assessments, then explains domain analysis and its history before proceeding with a “how-to” for using domain analysis in backward design for LSP. The authors walk through the process of conducting research using the domain analysis framework that leads to the development of real-world proficiency targets that can be systematically assessed. Once summative proficiency tasks and tests are developed, evidence-centered curricular (re)design can take place. Throughout, the authors will provide illustrative examples from two larger research projects on Spanish for social work and legal Spanish.
Objective Signs Of The Conclusion Of Transactions Contrary To The Interests Of The Republic Of Uzbekistan

This article provides a legal analysis of the corpus delicti of transactions, contrary to the interests of the Republic of Uzbekistan, and examines in detail the objective signs. In particular, such concepts as object, subject, interests, types of criminal object, damage and its types are analyzed. The opinions and approaches of foreign and domestic scientists on this matter were also taken into account. In addition, it is noted that the public danger of making transactions contrary to the interests of the Republic of Uzbekistan lies in the fact that when committing a crime, not only the rights of individuals are violated, but also damage to society as a whole. In addition, during the transitional period of the life of society and the state, the number of crimes of this kind grows rapidly and can cause significant damage to the economic foundations of the state. The final section contains suggestions and recommendations for eliminating negative factors.
Few-shot Language Coordination by Modeling Theory of Mind

$\textit{No man is an island.}$ Humans communicate with a large community by coordinating with different interlocutors within short conversations. This ability has been understudied by the research on building neural communicative agents. We study the task of few-shot $\textit{language coordination}$: agents quickly adapting to their conversational partners' language abilities. Different from current communicative agents trained with self-play, we require the lead agent to coordinate with a $\textit{population}$ of agents with different linguistic abilities, quickly adapting to communicate with unseen agents in the population. This requires the ability to model the partner's beliefs, a vital component of human communication. Drawing inspiration from theory-of-mind (ToM; Premack& Woodruff (1978)), we study the effect of the speaker explicitly modeling the listeners' mental states. The speakers, as shown in our experiments, acquire the ability to predict the reactions of their partner, which helps it generate instructions that concisely express its communicative goal. We examine our hypothesis that the instructions generated with ToM modeling yield better communication performance in both a referential game and a language navigation task. Positive results from our experiments hint at the importance of explicitly modeling communication as a socio-pragmatic progress.
Trust in the Educational Process of the University: from Values to Tools

The relevance of the phenomenon of “trust” in the field of higher education is due to the growing crisis of trust in all spheres of life of Russian society. This is a factor that enhances the attention of researchers to this topic. Trust in higher education is studied at three levels: 1) institutional; 2) interpersonal depersonalized; 3) interpersonal personified. Restoration and strengthening of trust is ensured primarily at the interpersonal personified level: 1) institutional level; 2) interpersonal depersonalized level; 3) interpersonal personified level. The authors note that development of trust can be ensured primarily at the interpersonal personified level, as the process of interaction of a particular teacher with a particular student or student group. The authors present their own values, which are connected with the phenomenon of trust at this level. The tools that allow transforming the educational process at the university into a space of activity, which is characterized by interpersonal personalized trust between the teacher and the students are described. These tools are: 1) a dialogue between a teacher and a student and an agreement that creates during the dialogue; this agreement defines the rights and obligations of the both of them; 2) a questionnaire or essay, showing, on the one hand, the students’ motives, attitudes, expectations associated with the upcoming learning process, and, on the other, the teacher’s interest of these characteristics of the students’ inner world; 3) a self-assessment system which helps student to assess their own educational results using specific criteria; 4) the final reflection of the teacher and students about their interaction, as well as about compliance with the contract. The article presents the experience of using these tools. The analysis of practice shows their significant influence on the building and strengthening of trust between the teacher and students. Keywords: trust, lack of trust, tools for building and strengthening of trust, dialogue, selfassessment, reflection
Pengembangan Media Pembelajaran Kimia Berbasis Android Pada Materi Termokimia Kelas XI SMA

The aim of this research was to know the feasibility and student learning outcomes of chemistry learning media based on android. This research is a type of research and development which is adapted from the ADDIE Analysis, Design, Development Implementation model. The media developed was tested on 30 students of class XI IPA RK Serdang Murni Lubuk Pakam Private High School. The data was collected through the expert validation sheet of student learning outcomes. The data analysis technique used quantitative and qualitative data analysis. The results of the research and the development concluded that: (1) Android-based chemistry learning media for class XI IPA students in this thermochemical material was developed with a 4D model and designed in the form of an application in the form of an android studio with the java programming language. (2) Android-based chemistry learning media for class XI Senior high school’s students have been declared eligible (valid) to be used in thermochemical learning. Eligibility (validity) of Android-based chemistry learning media for high school students of class XI, is found qualitatively based on the evaluation of material expert validators and media experts in terms of the feasibility of content, presentation, language and graphics according to BSNP with a mean of 4.04. (3) Based on the learning outcomes of students who are taught using Android-based chemistry learning media, it is not the same with the KKM value (75) based on the obtained mean of 90.17 with the highest value of 100 and the lowest score of 80.Thus, Android-based chemistry learning media in thermochemical is suitable for school use.
Silenced Voices

In this article I examine from a legal point of view some of the consequences for women, and hence for society in general, of online sexist and misogynist abuse in a Swedish context. I argue that one effect is that women’s living space online is demarcated and ultimately, that it threatens women’s possibilities to participate in public debate online. An everyday life perspective and the continuum of sexual violence, both part of a feminist legal perspective, are used as a theoretical framework to show how online abuse is silencing women. The situation demands action from the state, in order to safeguard freedom of expression and, consequently, democracy. I argue that in this particular situation, two basic aspects of freedom of expression collide: the one most emphasised, the prohibition of censorship, and the less acknowledged aspect, i.e. a diversity of voices. Deficient ways to handle sexist and misogynist online abuse leads to indirect censorship where women’s voices are silenced. Hence, the state must take action not to fail to guarantee justice for all. There are many initiatives addressing problems of online abuse, both internationally and nationally. In this article I seek to capture and examine the Swedish policy and legal regulation (criminal law and freedom of expression) in this area to sketch the legal situation, to highlight ongoing initiatives and pointing out lacunas and obstacles that needs to be dealt with to guarantee a diversity of voices.