Reviewerly/exHarmony huggingface dataset:
ANALYTICAL READING AND EDUCATION IN THE BULGARIAN LANGUAGE AND LITERATURE CLASSES

This article narrates about the analytical reading method in the education in Bulgarian language and literature, not as a problem, but as a phenomenon, which gives students the opportunity for developing, learning and complete realization in society. The modern world emphasizes the social, personal and thoroughly development of young people, who have to be functionally literate. To some students this might be a problem, but through developing reading comprehension skills, it approves to be the opposite. When diversity in education appears and learning becomes an active and free process, the analytical reading phenomenon shows. This phenomenon meets us with students, who are creative and responsible for learning during their whole lives. The aim of forming knowledge, skills and habits is accomplished. Teachers need to form orientation, attitude of the students to the practical work and development of their spoken and written language culture. Every teacher can work in classes or projects to achieve the analytical reading competence. This is an obligation of all of the pedagogical specialists in school and it also gives the opportunity for active and interdisciplinary links. There are no boundaries, but there can be difficulties when communicating with a group of people, who are different from your age. Communication in the educational process is a two-way phenomenon and therefore it is impossible to overcome obstacles and barriers. Learning in this way in school, as a wanted territory, reveals the real communicative experience of the modern student, who is in the right place - their, our school.
Discrimination between earthquakes and quarry blasts in the Vertes Hills, Hungary using a correlation detector

&amp;lt;p&amp;gt;Contamination of earthquake catalogues with anthropogenic events largely complicates seismotectonic interpretation. It is especially true for relatively low seismicity areas, such as Hungary. In the present study, we analyze the characteristics of the waveforms of earthquakes and quarry blasts that occurred in the close vicinity of Csokako (CSKK) station between 2017 and 2019 in the V&amp;amp;#233;rtes Hills, Hungary.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The objective of this study was to determine the linear discrimination line between the of earthquake and explosion populations. We investigated the effectiveness of P/S amplitude ratios using filtered waveforms at different frequency bands. We applied waveform cross-correlation to build correlation matrices at CSKK and performed hierarchical cluster analysis to identify event clusters. Because most of the quarry blasts were carried out by ripple-fire technology, we computed spectrograms and examined the spectral ratio between low and high frequencies and the steepness of spectra.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Overall, classes of earthquakes and quarry blasts have separated well from each other by combining the amplitude ratio, waveform similarity and the different spectral methods. We created a set of master events for individual quarries to run correlation detectors on past waveforms and identify the explosions of analyzed quarries that were misclassified as earthquakes in the annual Hungarian National Seismological Bulletins.&amp;lt;/p&amp;gt;
Exploring Effect of Instructor’s Image on Students’ Learning Effectiveness and Experience in Online Quantitative Methods Course

The current study investigates ways to improve instructor-student interaction in online teaching.Specifically, we aim to examine effect of instructor's image on students' learning effectiveness and experience in online quantitative methods course.Results indicated that instructor's image as an information cue associated with higher learning effectiveness, and provided both positive and negative learning experiences to students.Findings from the current result add knowledge to our understanding on influence of information and communication technologies in the field of education.
Psychological and pedagogical adaptation of students- repatriates in the conditions of higher education

The article is devοted tο the urgent prοblem οf psychοlοgical and pedagοgical adaptatiοn οf repatriate students in the hοlistic pedagοgical prοcess οf the university. The fοreign and dοmestic experience οf the οrganizatiοn οf the prοcess οf psychοlοgical and pedagοgical adaptatiοn οf student-repatriates is analyzed. Accοrding tο the authοrs, the prοcess οf entry οf repatriates intο a new sοciο-cultural space, adaptatiοn tο the educatiοnal prοcess, the fοrmatiοn οf new persοnal qualities, all this requires psychοlοgical and pedagοgical suppοrt during the studying at higher educatiοnal institutiοn. The cultural transmissiοn is analyzed as a prοcess due tο which culture is transmitted frοm previοus generatiοns tο subsequent οnes thrοugh studying. The features οf the adaptatiοn prοcess, the interactiοn οf the teacher and student in the learning prοcess are cοnsidered.In the authοrs’ οpiniοn, the prοcess οf adaptatiοn and integratiοn οf repatriate students intο the educatiοnal prοcess οf a Kazakhstan university is a dynamic system based οn ideas abοut individual experience and ways tο enter anοther culture, and pedagοgically οrganized activity that prοvides awareness and understanding οf the cοntent οf the sοciοcultural, educatiοnal and intercultural situatiοn. Adaptatiοn οf repatriate students tο the whοle educatiοnal prοcess οf the university is a cοmplex multi-faceted prοcess, which is necessary tο build in the cοncept οf cοmprehensive apprοach.
A multi-scale human action recognition method based on Laplacian pyramid depth motion images.

Human action recognition is an active research area in computer vision. Aiming at the lack of spatial muti-scale information for human action recognition, we present a novel framework to recognize human actions from depth video sequences using multi-scale Laplacian pyramid depth motion images (LP-DMI). Each depth frame is projected onto three orthogonal Cartesian planes. Under three views, we generate depth motion images (DMI) and construct Laplacian pyramids as structured multi-scale feature maps which enhances multi-scale dynamic information of motions and reduces redundant static information in human bodies. We further extract the multi-granularity descriptor called LP-DMI-HOG to provide more discriminative features. Finally, we utilize extreme learning machine (ELM) for action classification. Through extensive experiments on the public MSRAction3D datasets, we prove that our method outperforms state-of-the-art benchmarks.
Evaluasi Penataan dan Infrastruktur Kampus Hijau pada Politeknik Negeri Pontianak Berdasarkan UI GreenMetric

UI GreenMetric World University Ranking is an initiative of the University of Indonesia in 2010 as a form of assessment criteria for green campus. This green campus assessment will be used to rank universities that are making efforts towards carbon reduction as well as efforts to improve their campus on a sustainable basis. There are 6 assessment criteria at UI GreenMetric, namely: (1) Setting and infrastructure (15%); (2) Energy and climate change (21%); (3) Waste (18%); (4) Water (10%); (5) Transportation (18%); and (6) Education and Research (18%). The green campus assessment at the Pontianak State Polytechnic Campus will begin with the first criteria, namely the criteria for setting and infrastructure. The indicators of this criterion consist of the ratio of open area to total area, campus area covered by forest, campus area covered by vegetation, campus area for water absorption, total open area divided by campus population and campus budget for sustainability efforts. This study aims to determine the value of the green campus on the Pontianak State Polytechnic campus specifically for structuring and infrastructure criteria. The method used is descriptive-qualitative method. The result is that the Pontianak State Polytechnic campus meets the requirements by 50% with a score of 750 points from the maximum value of 1500 points. The need for green open areas in the form of forests needs to be considered as an effort to increase the score of the green campus assessment criteria for campus setting and infrastructure.
Single Axis Solar Tracking System Using Arduino

The energy demand of country is increases with respect to the growth and development. Along with this energy generation should be eco-friendly and from the renewable energy sources. Solar energy plays an important role as a primary source of energy, especially for rural area. This project aims at the development and explain the process of track the sun and attain maximum efficiency using Arduino Uno for real time monitoring. There are different methods for tracking system but this paper focuses on single axis solar tracker as it has advantages of simple design, easy to operate, less cost, less maintenance and good efficiency. This system consists of three subsystem 1) mechanical system- platform for tracking system 2) electrical system- PV system, stepper motor 3) control system-Arduino, LDR, motor drive. The performance of the system has been tested and compared with static solar panel. This project describes the design of a low cost, solar tracking system.
KEMAMPUAN MENULIS TEKS NEGOSIASI PADA SISWA KELAS X SEMESTER GENAP SMA PERSADA BANDAR LAMPUNG TAHUN AJARAN 2018/2019

The problem in this study concerns the Writing Ability of Negotiating Text in Class X Students Even Semester of Persada Bandar Lampung High School 2018/2019 Academic Year. The aspects analyzed include (1) Negotiating text structures, (2) Use of good and correct Indonesian language, and (3) Applying spelling rules appropriately. The research method uses quantitative descriptive methods. This research was conducted at Persada Bandar Lampung High School 2018/2019 Academic Year in the even semester of the 2018/2019 academic year. The subjects of the study data were all students of class X in the even semester of SMA Persada Bandar Lampung, which numbered 31 students. Data collection uses performance tests. Data analysis using quantitative analysis.
MEDIATION IN EDUCATION AND DEVELOPMENT OF CONFLICTOLOGICAL COMPETENCE OF THE TEACHER

The history of mankind confirms: both harmony and conflict are characteristic of communication in society. This article is devoted to the problem of conflicts in education. Unfortunately, conflict interaction occurs in school life, therefore, teachers need to learn how to apply innovative technologies in resolving conflicts, focus on respecting the rights and freedoms of all participants in the educational process, and act in accordance with the interests of the parties. The article discusses the technology of mediation, which orients the participants in the interaction towards cooperation in the conflict with the help of a mediator. The implementation of mediation practice requires special training of teachers, the formation of completely new competencies and, first of all, conflict management, which should be developed within the framework of continuous pedagogical education, using interactive training technologies and role-playing games. The authors present the experience of implementing the advanced training program “successful strategies of behavior in conflict and the development of a teacher's resistance to conflict”.
Defective Computer-Aided Design Software Liability in 3D Bioprinted Human Organ Equivalents

Three-dimensional (3D) bioprinting offers the exciting prospect of printing 3D multicellular human organs by combining a host of specialisms, including software development, biotechnology and tort law. 3D bioprinting methods rely on highly specialized computer software that incorporates computer-aided design (CAD). Optimizing development of CAD software is paramount to the quality of the final bioprinted organ. This optimization is computationally intensive, and its success plays a critical role in regulating key aspects of the final bioprinted organ, such as mechanical and cell growth properties of the scaffold, behavior, and cell differentiation. Policies underlying strict product liability law are highly relevant to ‘defective’ CAD software. Given the potentially life threatening impact of defective software, this article proposes that the U.S. rethinks its approach to liability of such defective software. This article proposes a policy-based approach that could be adapted to determine which aspects of the manufacturing process of a bioprinted human organ justify the added consumer protection provided by strict product liability.
Study of Alumni Engagement and its Relationship to University Curriculum Reforming

The need for labor after Covid-19 pandemic continues to increase the need for professional human resources.Human resources are required to be skilled in adapting to the new normal conditions, including in terms of work.Working skill is not only determined by academic, but also affected by emotional intelligence, especially soft skills.One of the efforts to optimize the soft skills of prospective graduates is through the role of alumni.The engagement of alumni in the development of education is considered important to provide learning that is relevant to the current era.Alumni, as experienced parties in the world of work, certainly understand very well what skills a prospective employee need.Based on this matter, universities are required to produce graduates who are able to answer challenges in the world of work.Through data collected by interviews and discussion with alumni who had worked, this research described the most needed soft skills in the business industry include, (1) communication skill; (2) leadership; (3) personal skill; (4) creative skill; and (5) interpersonal skill.In addition, this study also found the need for training designs related to soft skills.Training would be given by alumni who had experience in working.The training materials were adjusted to the industry conditions, according to the advice of alumni.The training was held for several times with the senior student participants who were about to graduate.We believe that the design of this training by alumni will help universities in producing graduates who are able to adapt to the world of work in the new normal era.
أخطاء الدارسين فى استخدام الكلمات المترادفة

The study aims to identify the student’s linguistic errors in using the synonyms words. The study was conducted at the State Islamic High School of  Insan Cendekia of  North Tapanuli in Indonesia. The method used by the researcher in this study is the descriptive and error analysis method. The researcher took 44 students as sample of study. After the study was conducted and the results has showed errors of linguistics in using synonyms as follows: 1) over generalization, 2) Ignorance of rule restriction, 3) fossilized errors, 4) Psychological factors such as forgetfulness, haste, fatigue, anxiety, laziness, illness and others.
نقش انیمیشن تلویزیونی در احیای آیینهای نمایشی برای کودکان

The aim of this research is to find out about the fact that what are the features of successful TV animation for representing ritual content in order to influence children. The present research has adopted a descriptive-analytical method to survey the characteristics of distinct TV animations, and consequently, realize that how such concepts are received by children. In line with these goals, researchers have surveyed three TV animations from American TV networks namely “Scooby-Doo, Charlie Brown & Mickey Mouse”. The analysis of the aforementioned animations provided the most important features of TV animation. The findings justify that successful ritual animations adopt indirect narrative while giving imitative patterns with suitable characterization, emphasizing action (Rather than being dialogue-oriented). In addition to that, attractive visual settings have succeeded in forming the rituals in children’s minds. According to Social Learning Theory, children who are attracted to animation will imitate their popular characters and in turn, this leads to a kind of behavioral modeling. Regarding the fact that children have a modeling reception through animation, then, this should remind artists & decision makers of TV animation to pay more attention to producing attractive animations with ritual subject matters. If achieved, there would be a hope that future generations become more dedicated to their national & religious rituals.
Implementation of an oral dialogue based on a neural network of artificial intelligence in the online platform in secondary school

The proposed article analyzes and investigates the methodology for implementing oral dialogue on the basis of an artificial intelligence neural network in an online platform for high school online learning. The range of tasks of the neural network has been determined. Firstly, teachers of secondary schools, gymnasium schools in the city of Taraz lack time for online sessions with students during classes, so they have to allocate time for individual online communication with each student individually. For an effective explanation of the educational material and the primary consolidation of the main topic, the authors propose the use of a neural network that processes the educational material of an electronic school textbook into an audio file, with the actual division of the sentence and the text. The neural network verbally explains the theoretical material to the student and the artificial intelligence evaluates the student’s voice response. Second, the authors include online editors of programs used in ICT and computer science classes in high school in the online platform. A visual demonstration of online problem solving methods is carried out in the online editor on the platform. The proposed online platform can be effectively used in traditional face-to-face education.
Recent developments on the Earth System Model Evaluation Tool

&amp;lt;p&amp;gt;The Earth System Model Evaluation Tool (ESMValTool) is a free and open-source community diagnostic and performance metrics tool for the evaluation of Earth system models such as those participating in the Coupled Model Intercomparison Project (CMIP). Version 2 of the tool (Righi et al. 2020, www.esmvaltool.org) features a brand new design composed of a core that finds and processes data according to a &amp;amp;#8216;recipe&amp;amp;#8217; and an extensive collection of ready-to-use recipes and associated diagnostic codes for reproducing results from published papers. Development and discussion of the tool (mostly) takes place in public on https://github.com/esmvalgroup and anyone with an interest in climate model evaluation is welcome to join there.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Since the initial release of version 2 in the summer of 2020, many improvements have been made to the tool. It is now more user friendly with extensive documentation available on docs.esmvaltool.org and a step by step online tutorial. Regular releases, currently planned three times a year, ensure that recent contributions become available quickly while still ensuring a high level of quality control. The tool can be installed from conda, but portable docker and singularity containers are also available.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Recent new features include a more user-friendly command-line interface, citation information per figure including CMIP6 data citation using ES-DOC, more and faster preprocessor functions that require less memory, automatic corrections for a larger number of CMIP6 datasets, support for more observational and reanalysis datasets, and more recipes and diagnostics.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The tool is now also more reliable, with improved automated testing through more unit tests for the core, as well as a recipe testing service running at DKRZ for testing the scientific recipes and diagnostics that are bundled into the tool. The community maintaining and developing the tool is growing, making the project less dependent on individual contributors. There are now technical and scientific review teams that review new contributions for technical quality and scientific correctness and relevance respectively, two new principal investigators for generating a larger support base in the community, and a newly created user engagement team that is taking care of improving the overall user experience.&amp;lt;/p&amp;gt;
SeekSuspect: retrieving suspects from criminal datasets using visual memory.

It is crucial for the police department to automatically determine if suspects are present in the criminal database, sometimes based on the informant's visual memory alone. FaceFetch [15] is a state-of-the-art face retrieval system capable of retrieving an envisioned face from a large-scale database. Although FaceFetch can retrieve images effectively, it lacks sophisticated techniques to produce results efficiently. To this end, we propose SeekSuspect, a faster interactive suspect retrieval framework, which introduces several optimization algorithms to FaceFetch's framework. We train and test our system on a real-world dataset curated in collaboration with a metropolitan police department in India. Results reveal that SeekSuspect beats FaceFetch and can be employed by law enforcement agencies to retrieve suspects.
ПРЕПОДАВАНИЕ ПРЕДМЕТОВ НАЧАЛЬНЫХ КЛАССОВ В МЕЖДИСЦИПЛИНАРНОЙ СВЯЗИ

The article considers the effectiveness of an interdisciplinary approach. When integrating the subjects, the topics of four 4th grade subjects were considered. On the basis of cross-cutting themes, the relationship of the material and their influence on each other were determined, and the connection of themes was established based on common features. The study examined the curriculum of primary education, analyzed in detail the content of the thematic plan of each subject, learning goals and objectives. Methods of research of pedagogical and educational-methodical literature, methods of comparison, generalization, allowing to reveal connections between subjects were used.
DETECTING THE AFFECTED FILES IN CLOUD BASED ON ALGORITHM NAME

This project aims to analyze the cloud computing dataset and find the affected files and the secured files using the algorithm name and give the result on highly secured algorithm. The resulting design is able to facilitate efficient server-side ranking without losing keyword privacy. This will help the user to know the secrecy of their data. This paper also analyzes each algorithm and its level of secrecy.
Information Retrieval System for Online Food Ordering Using the Vector Space Model Method

The development of start-up in Indonesia continues to grow along with increasingly sophisticated technology developments, this is one of the business opportunities from sharing start-up in Indonesia, and everyone is always given the convenience of every activity that is being experienced by millennial. Speed ??and accuracy in the information search process have become mandatory. In order to facilitate the search process or find the required information, the aim of this study is to provide a general description of the restaurant search process from online food ordering applications. The implementation of the theory applied in this study uses the vector space model method, with the token and indexing process so that results are found according to the keywords inputted in the application, and will be compared with the data contained in the application, so that it can produce the correct information.
MOOC2move. MOOC y REA desde la didáctica de lengua y literatura: de la práctica interdisciplinar a la reflexión docente

Comunicacion presentada en Mooc2Move Conference on “MOOCs, Language learning and Mobility: design, integration, reuse” 9 – 10 April 2021.