Reviewerly/exHarmony huggingface dataset:
The Deceptively Simple: Translating Donald Trump’s Posts on Twitter into Arabic

This paper investigates the translation strategies that have been employed in translating Donald Trump's posts on Twitter from English into Arabic, taking into consideration Trump's use of language characterized by the excessive use of sentence fragments, colloquialism and a discourse that generally lacks cohesion.To achieve this goal, sixtyfive tweets posted in 2019, and translated by two media news agencies, namely Russia Today and Anadolu Agency are analyzed to identify the translation strategies adopted by the translators affiliated to these agencies, and to determine the impact of the strategies utilized on the target language texts.The analysis of the corpora reveals that the three most predominant translation strategies adopted by the translators of the aforementioned media outlets are, in order of importance, explicitation, omission and shifts.Overall, these strategies produce target language texts that flow smoothly and succeed in transferring the messages originally expressed in the English tweets.However, on rare occasions when unnecessary omission and unmotivated shifts are adopted, the translators of Russia Today and Anadolu Agency fail to transmit the same communicative values Trump originally conveyed to his English-speaking followers.
Feature selection: state-of-the-art survey

Feature selection is an important preprocessing step in many machine learning algorithms. In this paper, we review the current literature on feature selection algorithms. We discuss the major approaches and identify the advantages and disadvantages of each approach.
Computer Technologies in the Realization of Bilingual Training in the National School (On the Example of Schools of the Republic of Bashkortostan of the Russian Federation)

In modern conditions of development of national schools in multilingual regions of the Russian Federation, in particular in the Republic of Bashkortostan, the problem of designing a bilingual (Russian-national or national-Russian) methodology is important, but at the same time not sufficiently developed for the federal component disciplines. The article reveals an attempt to solve to a certain extent this problem through the use of electronic educational materials in teaching mathematics. Depending on the target component, two types of bilingual methods are distinguished: one of them – with the predominance of the national-Russian bilingualism, the other - with the predominance of the Russian-national. Electronic textbooks provide an opportunity to combine the possibilities of both techniques. The article describes the electronic learning materials developed by the author that allow realizing bilingual education in the Russian national (non-Russian) school. Efficiency was identified on the basis of a pedagogical experiment, the criterion of effectiveness – the quality of students’ cognitive activity; the reliability of the changes obtained was substantiated by statistical methods using Student’s t-test (by William Gosset’s).
Investigating the Relationship between Job and Job Proportion and Its Impact on Organizational Performance Improvement (Islamic Azad University of Bojnourd)

The purpose of the present study was to investigate the relationship between employee job fit and its impact on organizational performance improvement. The statistical population of the study consisted of all employees of Islamic Azad University of Bojnourd with 130 persons selected by census method. Library and field methods were used for data collection. Data were collected using job-occupation fit and employee performance improvement questionnaires. A score of 0 indicates high reliability and validity of the questionnaire. Descriptive statistics (frequency distribution, graph plotting and mean and median concentration indices) were used for data analysis, and Structural Equation Method (SEM) using LISREL version 8.8 was used to analyze and analyze the research hypotheses. The results of the structural model showed that the relationship between job knowledge, job skills and job ability of the staff and the knowledge required to perform the job had a positive and significant effect on improving organizational performance at the staff level of Islamic Azad University of Bojnourd. Hence, as employee-to-employee proportion increases, employee performance also improves. Since doing a job in the form of a job is conceived and understood, the characteristics of a job need to be measured and taken into account, the job and its stages should be well understood and job analysis taken into account. , Designed the next step for the job, and put people fit for each job into the necessary positions and jobs.
The Effect of Learning Strategies and Linguistic Intelligence on the Results of English Texts Reading Comprehension for High School Students in Medan

The objectives of this research are: (1) the difference of results of students' English text comprehension who are taught with the Collaborative Strategic Reading (CSR) strategies and student taught by using the Directed, Reading, Thinking, Activity (DRTA) strategy (2) the difference of results the students who have high linguistic intelligence is better than students who have low linguistic intelligence (3) the interaction between learning strategies and linguistic intelligence in influencing students' learning outcomes of understanding English texts.This study is a quasiexperimental research.The population in this study all students of class XI MIPA SMA Negeri 2 Medan and XI MIPA SMA Negeri 5 Medan.The research instrument is an objective test of valid and reliable learning outcomes of students' English text comprehension, and a linguistic intelligence questionnaire sheet.The data analysis technique used is Two Way Anova on data that has been normally distributed and homogeneous.The results obtained by testing hypotheses: (1) the average of the children achievement taught by Collaborative Strategic Reading (CSR) strategy is higher than students taught by Directed, Reading, Thinking, Activity (DRTA) strategy, which indicated by Fc = 8,65 > Ft = 3,98 at significance level α = 0,05 with df (1.68); (2) the average of the students who have the ability of high linguistic intelligence is higher than the students who have low linguistic intelligence, which is indicated by Fc= 9,38 > Ft= 3,98 at significance level α=0,05 with df (1.68); (3) there is interaction learning strategy and linguistic intelligence to the Understanding English text outcomes student, which is indicated by Fc = 5,58 > Ft =3,98 at significance level α = 0.05 with df (1,68).Based on the data analysis it can be concluded that Collaborative Strategic Reading (CSR) strategy is better than the Directed, Reading, Thinking, Activity (DRTA) strategy in improving students' learning outcomes of understanding English texts.Students who have a high linguistic intelligence obtain higher English learning outocmes than the students who have low linguistic intelligence.
Analisis Kebutuhan Pengembangan Materi Biologi Umum Multimedia Interaktif Berbasis Web dan Android

The many sources of general biology material on the internet that are difficult to distinguish between authenticity and validity cause students to be confused. Students are confused about which source to use and which one to start with, so this case causes big problems for the learning process and student learning outcomes. The purpose of the study was to determine student responses to the development of general biology materials interactive multimedia based on web and android. The research method is descriptive quantitative through survey techniques with a sample of 100 students from IKIP Budi Utomo, Universitas PGRI Madiun, and Nusantara Universitas Nusantara PGRI Kediri. The research instrument was an electronic questionnaire consisting of eleven questions and was given to students. The research data were analyzed descriptively. The results showed that students had difficulty finding valid and accountable general biology materials on the internet (40.2%), students agree if the lecturer prepares general biology material that meets the valid criteria (94.1%), students agree that general biology material is in the form of interactive multimedia based on web and android for present and future learning (79.4%), and students agree that general biology material interactive multimedia based on web and android can help students understand general biology material anywhere and anytime (70.6%). The conclusion of this study is that students need general biology materials interactive multimedia based on the web and android for present and future learning.
Noise analysis of SOA-based All-optical Photonic Deep Neural Network with WDM input

We experimentally verify the noise modeling of SOA-based all-optical neural networks on the OSNR degradation of the neuron: The photonic neural network can scale up to 16×16 neurons per layer, resulting in NRMSE <0.10.
PERANCANGAN GAME 3D GATES KING DENGAN MENERAPKAN ALGORITMA FINITE STATE MACHINE PADA ENEMY

Game is a game made with animation techniques and methods. In early 2019, Android was one of the most widely used operating systems used by the general public, so this game was made to run for the Android system with the theme of being a bodyguard guarding the King. In this research, the game is made by applying the Finite State Machine (FSM) algorithm. This game focuses on the movement and state of enemy status which can change according to the input distance between the palyer and the enemy. This game creates a game that provides a 3D animated image and sound as recognition of enemy status. From the research results, it can be seen that the enemy will change its state to attack when it is at a distance of attack with the palyer. The author made the Gates King game designed using a programming language using Unity 3D as the game engine. The testing system uses Black Box.
Organisation and Maintenance of Library Authority Files in Russia and Abroad

The article provides review of foreign and domestic publications on the problems of creation, development and use of authority files (AF) of names of persons, names of organizations, geographical names and other objects both at the international, national and regional levels. The paper presents analysis of the foreign experience of AF maintenance. The authors note that, due to the availability of universal collections and qualified specialists, AF formation abroad is usually carried out by national libraries. A substantive analysis of foreign publications has shown that national AFs (NAF) are characterized by data variability and diversity of approaches. The authors studied the experience of successful combination of NAF created according to different methods within the framework of the international corporate project — Virtual International Authority File (VIAF). The article notes that most of the Russian libraries do not use AF, since AF, created in republican and regional scientific libraries, as a rule, are not publicly available. At the same time, creation by a separate library of its own AF leads to high labour and material costs, and the formation of a large number of AF leads to the variability of the AFs created for the same objects. The authors conclude that for efficient use of AFs within the country, it is necessary to apply unified methods and rules for creation of authority records. Another way out is the application of the Semantic Web technology, which allows linking AFs created according to different methods. It is necessary to make maximum use of existing dictionaries or create dictionaries based on the World Wide Web Consortium (W3C), Resource Description Framework (RDF), RDF Schema (RDFS) and Web Ontology Language (OWL) standards.
Menilik Implementasi Quick Response Dalam Mewujudkan Keamanan Di Polres Jembrana

Polres as a basic operational unit, has a complete police function to solve all police problems, which can provide complete solutions to the community. The National Police Headquarters set four excellent programs as quick wins in implementing bureaucratic reform: quick response of the Samapta patrol, transparency of SIM, STNK and BPKB services, transparency of investigative services (SP2HD), and transparency in the recruitment of Police personnel. This study aims to determine the form of police activities that implement the Quick Response program and to find out the mechanism for filing claims by the community to the Jembrana Police for police officers who do not implement the Quick Response. The technique used in processing data is descriptive qualitative using data analysis techniques proposed by Huberman. The results of the research stated that, there were still findings from one of the informants who stated that there was a slow case resolution and was not informed to the reporter, there were still many people who did not know the Jembrana Police jurisdiction and during the patrol implementation of Jembrana Police members only went around the city area. The contribution of this research is to provide insight to the public regarding the performance of quick response in Jembrana Police.
Exploring the RCNN Technique in a Multiple-Point Statistics Framework

This is a preprint version of a paper that was subsequently published in S. Avalos and J. M. Ortiz, “Recursive convolutional neural networks in a multiple-point statistics framework,” Computers & geosciences, vol. 141, p. 104522–, Aug. 2020, doi: 10.1016/j.cageo.2020.104522.. It does not contain changes and edits that were made during peer review, or updates, edits and alterations by the authors and the publisher that occurred prior to acceptance and final publication
Disambiguating Grammatical Number and Gender With BERT

Accurately dealing with any type of ambiguity is a major task in Natural Language Processing, with great advances recently reached due to the development of context dependent language models and the use of word or sentence embeddings. In this context, our work aimed at determining how the popular language representation model BERT handle ambiguity of nouns in grammatical number and gender in different languages. We show that models trained on one specific language achieve better results for the disambiguation process than multilingual models. Also, ambiguity is generally better dealt with in grammatical number than it is in grammatical gender, reaching greater distance values from one to another in direct comparisons of individual senses. The overall results show also that the amount of data needed for training monolingual models as well as application should not be underestimated.
Photonic implementation of spike timing dependent plasticity with weight-dependent learning window based on VCSOA

Abstract Based on the well-known Fabry–Pérot approach, after taking into account the variation of bias current of the vertical-cavity semiconductor optical amplifier (VCSOA) according to the present synapse weight, we implement the optical spike timing dependent plasticity (STDP) with weight-dependent learning window in a VCSOA with double optical spike injections, and numerically investigate the corresponding weight-dependent STDP characteristics. The simulation results show that, the bias current of VCSOA has significant effect on the optical STDP curve. After introducing an adaptive variation of the bias current according to the present synapse weight, the optical weight-dependent STDP based on VCSOA can be realized. Moreover, the weight training based on the optical weight-dependent STDP can be effectively controlled by adjusting some typical external or intrinsic parameters and the excessive adjusting of synaptic weight is avoided, which can be used to balance the stability and competition among synapses and pave a way for the future large-scale energy efficient optical spiking neural networks based on the weight-dependent STDP learning mechanism.
Alpha Level and Inverse Alpha Level Of Multi-Fuzzy Set

In this paper, the concepts of inverse alpha level and weak inverse alpha level of multi-fuzzy set together with their properties are introduced. It is shown that the inverse alpha level is always contained in the weak inverse alpha level. It is further demonstrated that as the union of the alpha levels of two multi-fuzzy sets is contained in the alpha level of their union, it is only the converse that is obtainable for the case of inverse alpha level as well as weak inverse alpha level. Moreover, related results are also provided.
Preescolar en casa, el reto de enseñar a través de una pantalla

The following writing allows to count and evaluate the process adapted for the teaching of preschool students during the pandemic that took place in 2020; Taking into account that the teaching of basic sciences had been taught in person and the technological resources in the classrooms were extended to the remote use of audiovisual media on a non-continuous basis, screens were not a matter of concern, cell phones, tablets and Other resources were prohibited in educational establishments for both teachers and students, today they are their maximum teaching and learning resource. For many, the action of educating through a screen usually seems simple since they link the idea with tutorials or explanatory videos found in different applications and audiovisual programs, however, teachers, students and parents were not prepared for this, in No educational establishment, be it school or university, is directed to teach in the event of a pandemic, which is why more than a pedagogical strategy or evaluation of educational innovation, it should be counted as the challenge that made us change the way of re-educating a whole society from one screen. Today, a short time after the end of a school year, we can rescue the resources, the strategies, the new ways of teaching and above all value the human beings who from one day to the next modified their home as a classroom, changed the decorative pictures by visual aids and adapted to a new reality.
Automata Techniques for Temporal Answer Set Programming.

Temporal and dynamic extensions of Answer Set Programming (ASP) have played an important role in addressing dynamic problems, as they allow the use of temporal operators to reason with dynamic scenarios in a very effective way. In my Ph.D. research, I intend to exploit the relationship between automata theory and dynamic logic to add automata-based techniques to the ASP solver CLINGO helping us to deal with theses type of problems.
الإنستغرام: وسيلة جديدة في تعلم مادة النحو =Instagram: a new tool in learning Arabic syntax

The emergence of social media in the current era had a great impact on all areas of human life, including the educational field. These social media have distinctive features, which make them among the most effective and interactive educational tools in the teaching and learning process, thus benefiting teachers and their students. As a result, these social media platforms are used not only for individual communication, but also in educational institutions and universities as a teaching aid and complementary method to traditional education. Therefore, experts in this field began to rethink educational techniques in the light of technological advancements. This standpoint motivates the researchers to conduct experimental descriptive research where one of the social media platforms; Instagram is used as an educational tool for teaching Nahu. This research aims to discover the university students’ attitudes towards using Instagram as an educational tool for teaching Nahu. Following the teaching experience in the virtual classroom, a questionnaire was distributed to learn their opinion of learning through Instagram, and SPSS was used to analyze the data. The most noteworthy findings of the study were that learning Nahu through Instagram was enjoyable, engaging, and appealing as most of the students participated in the virtual classroom activities. This positive motivation and active participation are expected to be created as a result of the popularity of Instagram among youth, as it is the most popular and widely used among them.
РАЗВИТИЕ ПОЗНАВАТЕЛЬНОЙ САМОСТОЯТЕЛЬНОСТИ СТУДЕНТОВ МАГИСТРАТУРЫ НА ПРАКТИЧЕСКИХ ЗАНЯТИЯХ ПО АНГЛИЙСКОМУ ЯЗЫКУ В ЭПОХУ ЦИФРОВИЗАЦИИ

The article is focused on cognitive self-reliance development of master course students in a practical course of English in the age of digitalization and the role of teacher as a tutor of students’ independent work providing training and guidance of their automethodical control. The authors raise the question of impact of Information and Telecommunications Technologies on the Teacher-Student cultural interaction and see a shift in pattern from the subject-object relationship towards the subject-subject one. The article places particular emphasis on cognitive self-reliance as an automethodical phenomenon with complex structure including motivation-orientation, emotion-personality, content-operation and control-assessment components. The content-operation component is realized in particular on the example of individual reading style formation under the guidance of the tutor during classes, with students further consolidating their skills independently and progressively on the electronic educational platform of Ural Federal University.
PENGARUH MEDIA MAKET PLAYDOUGH TERHADAP KECERDASAN VERBAL LINGUISTIK ANAK USIA 5-6 TAHUN:

The purpose of this study was to determine whether playdough mock-up media influences verbal linguistic intelligence for children aged 5-6 years in TK Negeri Pembina 2 Pekanbaru. The research method that the researchers used is Quasi experiment and Nonequivalent Control Group Design. There are two classes used, namely the control class and the experimental class, where each class is carried out in 2 stages namely, the pretest stage (before being treated) and the posttest stage (after treated). The research sample of 30 children, 15 children each. From the results using SPSS Windows ForVer 17, obtained sig 0.185 statistics is much greater than 0.05 (0.185> 0.05), thus it can be concluded that the research data is homogeneous. Based on the Paired Sampels test output table, the sig value is known. (2-tailed) is 0.001 g?0.7. This means that there is an influence of playdough mock media on verbal linguistic intelligence for children aged 5-6 years in TK Negeri Pembina 2 Pekanbaru.
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics

Machine learning in medical imaging during clinical routine is impaired by changes in scanner protocols, hardware, or policies resulting in a heterogeneous set of acquisition settings. When training a deep learning model on an initial static training set, model performance and reliability suffer from changes of acquisition characteristics as data and targets may become inconsistent. Continual learning can help to adapt models to the changing environment by training on a continuous data stream. However, continual manual expert labelling of medical imaging requires substantial effort. Thus, ways to use labelling resources efficiently on a well chosen sub-set of new examples is necessary to render this strategy feasible. Here, we propose a method for continual active learning operating on a stream of medical images in a multi-scanner setting. The approach automatically recognizes shifts in image acquisition characteristics – new domains –, selects optimal examples for labelling and adapts training accordingly. Labelling is subject to a limited budget, resembling typical real world scenarios. In order to avoid catastrophic forgetting while learning on new domains the proposed method utilizes a rehearsal memory. To demonstrate generalizability, we evaluate the effectiveness of our method on three tasks: cardiac segmentation, lung nodule detection and brain age estimation. Results show that the proposed approach outperforms other active learning methods on a continuous data stream with domain shifts.