Reviewerly/exHarmony huggingface dataset:
Research on English Translation Based on Functional Equivalence Theory and Genetic Algorithm

With the increasing development of our country and the world, the importance of English as an international language is self-evident. But we have difficulty in English translation, especially the vocabulary and translation of business English letters, not only because we have different living habits but also because we have different ways of speaking. Based on the research of functional equivalence theory and the calculation of a genetic algorithm, the vocabulary and translation of business English letters will be better improved. This can help us communicate better with each other and learn from the advanced Western experience in China. Through the study of the algorithm, the computational advantages of the algorithm are proved. The study of this English translation model will further improve the progress and promotion of existing translation technology.
Detecting vibration features from remote objects based on high-speed imagery

Remote detection of vibrational features from an object is important for many short-range civil applications, but it is also of interest for long-range applications in the defense and security areas. The well-established laser Doppler vibrometry technique is widely used as a high-sensitivity, noncontact method. The development of camera technology in recent years made image-based methods reliable passive alternatives for vibration and dynamic measurements. We investigate and discuss the potential of high-speed imaging technique for medium- and long-range vibration detection. The sensitivity and the limitations of the method are experimentally investigated in comparison to the well-established Doppler vibrometry technique. As atmospheric turbulence is expected to become a limiting factor for long-range applications, imaging in the short-wave IR (SWIR) to mid-wave IR (MWIR) rather than in the visual range is advantageous due to the longer wavelength. We present experiments on the vibration detection from SWIR and MWIR image sequences, as well as additional experiments on the extraction of vibration signature under strong local turbulence conditions.
Efektifitas Penggunaan Aplikasi berbasis Android Sebagai Dampak dari Penyebaran Covid-19

The background of this research is distance learning which utilizes media in the form of android-based applications in connection with the global covid-19 pandemic experienced by various countries, one of which is Indonesia. This condition affects the movement of various sectors, including the education sector. After going through several months with this global pandemic condition, with all teaching-learning activities from various levels carried out from home, the use of appropriate methods is a very serious concern. Learning from home is one way that is expected to be able to suppress the spread of covid-19. Many distance learning media are available, so it is necessary to know the effectiveness of using these media to be used in distance learning. The method used in this research was qualitative-quantitative with a sample of 30 students chosen at random with the student record "technology literate". The data collection method was carried out through a questionnaire using electronic media and internet networks. The results of this research indicate that not all android-based applications can be used effectively in distance learning. This research is expected to provide new views and references on the effectiveness of the use of electronic media in learning, so as to increase the effectiveness of distance learning for various levels of Education. Key Words: Distance learning, electronic media, covid-19
Institutional Traps and Interest Groups in the Sphere of Education and Science

The article is devoted to study of institutional traps of optimization in education and science spheres. Our analysis also identifies the role of key actors or groups of interests in education sphere in reproduction of aforesaid institutional traps. The main purpose of this paper is to demonstrate identified institutional traps and groups of interests with help of narratives that were generated in the course of organized focus-groups with university stuff. This article is based on previous research where key institutional traps in education sphere were identified and described. This paper continues the analysis of following institutional traps: metrics trap, the trap of increasing bureaucracy, the trap of financing gap, the trap of electronisation and digitalisation, the trap of reducing the quality of education, the trap of human resources and justifies the efficiency of focus groups research method for detection groups of interests as real or potential actors of institutional changes. This method enables to find out the existing contradictions inside the groups and as a consequence to deepen the understanding of the nature of studied institutional traps and propose recommendations for overcoming the negative effects of it.
Research on Online and Offline Blended Teaching Mode

With the advent of the new media era, it has brought an impact on book design, a traditional information communication medium.In view of the current situation and problems of book design courses, this project has carried out teaching reforms.This course adopts online and offline teaching modes, and builds on "the purpose of social needs and the orientation of employment".Curriculum positioning and in-depth discussion were conducted from four aspects: curriculum content project reform, teaching method reform, curriculum resource allocation, and the level of teachers.
The Implementation of Big Data Technology in Virtual Machines for Mapping 2019-nCoV Pandemic on the Students of Information Technology

The spread of Covid-19 has influenced changes in human behavior and paradigm including in teaching and learning process.The teaching and learning process has now been replaced by E-Learning models which offer flexibility for both teachers and students.Current learning process can be accessed by students from different places and not necessarily gather in one room.However, this raises a new problem, namely the difficulty of tracking the scattered students when they return to campus.One way to overcome this problem is to use a big data approach combined with a virtual machine to recognize and detect these students.In this approach, the results of tracking students with server computer resources are up to 15% smaller than using non virtual machines.This is a new approach to data processing.
The Presence of Fibonacci Sequence in Malaysia Keris Design Related to Elements of Art and Principles of Design

This paper discusses the Malaysia Keris design within the scope of the presence of the Fibonacci sequence component in design related to the art elements and design principles, which make it stand as an iconic item to symbolise Malaysian identity. The existing literature emphasised on the philosophical part of it. Using tool or instrument, of form analysis based on Fibonacci sequence spiral, has mapped the DNA of the design. The empirical findings show that the existence of Fibonacci sequences is significant in Malaysian keris design. Moreover, ‘emphasis’ has given the distribution of the visual weight of objects and value. Keywords: Elements of art; Fibonacci sequence; Keris; Principles of design eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bsby e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI3.2547
Aplikasi Pengelolaan Pendapatan dan Pengeluaran Kas Pada Rafa Laundry Berbasis Web

Rafa Laundry is a service business that offers cleaning clothes, carpets, dolls, bags and other textile materials. In every business process, Rafa Laundry still uses paper media in the form of books and notes, this is because Rafa Laundry has not implemented a computerized system. As a result of the computerized running system, the recording process is vulnerable to loss and damage, another weakness, namely processing data into information or reports that take a long time. This computerized system makes Rafa Laundry employees have to summarize daily transactions, income transactions and disbursement transactions, income transactions paid by customers are income for Rafa Laundry. Therefore, in this study to design and build a management application of income and cash outlays at Rafa Laundry, by applying the waterfall software development method.
Depression and happiness of high school students: the dual mediating effects of suicidal ideation and gratitude

Introduction. The happiness of adolescents in Korea is the lowest among OECD countries. In particular, high school students is behind the happiness due to college entrance-oriented education. Academic interest in happiness of high school students is needed. This study examined whether depression significantly affects happiness by way of suicidal ideation and gratitude of high school students in South Korea, and suggests ways to increase happiness through gratitude. Materials and methods. 4 high schools in S city in Korea were selected as study area for survey and from them 435 participants were purposively selected. Participants was 50.6% for males and 49.4% for females. Grade distribution was 28.7% in 2nd grade and 71.3% in 3rd grade. The statistical methods used in this study were frequency, reliability, correlation, and dual mediating effect analysis using SPSS PC+ Win. Ver. 25 and PROCESS macro Ver. 3.5. Results. Firstly, depression had a positive association with suicidal ideation (r=.703, p&lt;.001), but had a negative association with gratitude (r=-.305, p&lt;.001), and happiness (r=-.656, p&lt;.001), with the highest correlation coefficient between depression and suicidal ideation (r=.703, p&lt;.001). Secondly, the simple mediation effect of gratitude in the link between depression and happiness was observed (-.0918, -.1532 ~ -.0322). Thirdly, the dual mediating effect of suicidal ideation and gratitude in the link between depression and happiness was verified (-.0382, -.0801 ~ -.0225). Conclusion. This research could contribute to solving the negative relationship between depression and happiness through the two mediators, suicidal ideation and gratitude. This study provided the basis for a further research to enhance happiness by utilizing gratitude for adolescents with severe depression and high suicidal ideation.
ARTIFICIAL INTELLIGENCE FOR EDUCATION IN BECOMING DIGITAL SOCIETY: CHALLENGES AND OPPORTUNITIES

The authors' goal: to investigate the opportunities and challenges of existing artificial intelligence technologies in the educational process.The research has shown that the potential of artificial intelligence is primarily associated with the successful solution of routine tasks of the educational process: artificial intelligence programs can use large databases, convey to students the conceptual apparatus of the subject of study, logical connections, are able to determine the level of assimilation of educational material by the reaction of listeners, make recommendations for adjusting the educational process, conduct testing and evaluate students.However, the conceptual connections of the study object, value-semantic assessments and the educational component of the educational process are not available to the machine.This is the area of teacher competence.The research concludes that artificial intelligence is a huge resource that opens up many new opportunities.However, it is necessary to implement it not as the main operating mechanism, but as an auxiliary tool for teachers, leaving the main initiative to the human factor.At the same time, the introduction of self-learning digital programs in the educational process creates a number of serious methodological and social problems, in this regard, it is necessary to develop tools for public control over the development of artificial intelligence technologies.
CPT: Efficient Deep Neural Network Training via Cyclic Precision

Low-precision deep neural network (DNN) training has gained tremendous attention as reducing precision is one of the most effective knobs for boosting DNNs' training time/energy efficiency. In this paper, we attempt to explore low-precision training from a new perspective as inspired by recent findings in understanding DNN training: we conjecture that DNNs' precision might have a similar effect as the learning rate during DNN training, and advocate dynamic precision along the training trajectory for further boosting the time/energy efficiency of DNN training. Specifically, we propose Cyclic Precision Training (CPT) to cyclically vary the precision between two boundary values which can be identified using a simple precision range test within the first few training epochs. Extensive simulations and ablation studies on five datasets and ten models demonstrate that CPT's effectiveness is consistent across various models/tasks (including classification and language modeling). Furthermore, through experiments and visualization we show that CPT helps to (1) converge to a wider minima with a lower generalization error and (2) reduce training variance which we believe opens up a new design knob for simultaneously improving the optimization and efficiency of DNN training.
Evaluating Automated Face Identity-Masking Methods with Human Perception and a Deep Convolutional Neural Network

Face de-identification (or “masking”) algorithms have been developed in response to the prevalent use of video recordings in public places. We evaluated the success of face identity masking for human perceivers and a deep convolutional neural network (DCNN). Eight de-identification algorithms were applied to videos of drivers’ faces, while they actively operated a motor vehicle. These masks were pre-selected to be applicable to low-quality video and to maintain coarse information about facial actions. Humans studied high-resolution images to learn driver identities and were tested on their recognition of active drivers in low-resolution videos. Faces in the videos were either unmasked or were masked by one of the eight algorithms. When participants were tested immediately after learning (Experiment 1), all masks reduced identification, with six of eight masks reducing identification to extremely poor performance. In a second experiment, two of the most effective masks were tested after a delay of 7 or 28 days. The delay did not further reduce identification of the masked faces. In all masked conditions, participants maintained stringent decision criteria, with low confidence in recognition, further indicating the effectiveness of the masks. Next, the DCNN performed an identity-matching task between high-resolution images and masked videos—a task analogous to that done by humans. The pattern of accuracy for the DCNN mirrored some, but not all, aspects of human performance, highlighting the need to test the effectiveness of identity masking for both humans and machines. The DCNN was also tested on its ability to match identity between masked and unmasked versions of the same video, based only on the face. DCNN performance for the eight masks offers insight into the nature of the information in faces that is coded in these networks.
The Impact of Strategic Planning on Innovation in Saudi SMEs

Strategic planning may assist in new product development through innovation making strategic planning linked to innovation, but it can also restrict innovation and creativity. This suggested the need to study the relationship between strategic planning and innovation, and mediating factors. Strategic planning was examined as a possible determinant of innovation in Saudi SMEs, and the two mediating factors considered were commitment to learning and structural flexibility, which were examined for their interaction effects on strategic planning. The methodology involved administering a survey questionnaire to 230 Saudi SMEs across a range of sectors, and 20 SME founders were subsequently interviewed. The results show that strategic planning impacts significantly and positively on innovation in the case of Saudi SMEs, and there is a significant positive interaction effect of commitment to learning but not structural flexibility in this relationship, which establishes the mediating potential of commitment to learning. Implications are drawn for learning-oriented planning, and for low-resource SMEs to gain sustainable competitive advantage.
Book Review of “The Missing Course: Everything They Never Taught You About College Teaching”

Gooblar, David (2019). The Missing Course: Everything They Never Taught You About College Teaching. Cambridge, Massachusetts: Harvard University Press. Pages: 227. Price: 39.73 CAD (hardcover).
PENGEMBANGAN WEBSITE SISTEM INFORMASI ADMINISTRASI KEPENDUDUKAN PADA KELURAHAN TUMBANG RUNGAN KOTA PALANGKA RAYA MENGGUNAKAN METODE WATERFALL

Tumbang Rungan sub-district in Palangka Raya manages population data as part of Population Administration, among others; Death Certificate, Certificate of Marriage / Marriage, Birth Certificate, Transfer Certificate, Disability Certificate, Building Construction Permit (IMB), Land and Building Tax, and Land Certificate. Currently there are still many government agencies that manually process population data, including Tumbang Rungan Village, Palangka Raya City, which still uses paper-based forms. If the listed requirements are incomplete, then the person concerned must go home / return first to complete the missing requirements, until they are sufficient and complete. This is very troublesome and wasteful of energy and other sacrifices. Kelurahan Tumbang Rungan, Palangkaraya City, plans to build a system that aims to assist the community in submitting information and receiving complaints by utilizing web facilities as well as monitoring the correspondence process (which is being processed or completed), and to enable the public to fill in data online. To overcome these problems, a study was made, website based with the stages of research divided into two stages, namely: (1) literature study and (2) software development by applying modified waterfall method which includes four steps namely system analysis, design, implementation and testing. For implementation using PHP in making program code and Mysql as a database to store data. Furthermore, software testing uses Blackbox testing
Beyond Storytime: Virtual Augmented Reality, AI, and Arts Programs for Middle Grades

When the COVID-19 pandemic hit, the West Vancouver (BC) Memorial Library was well-positioned to make the transition to a fully virtual program model—fortunate to have the support of a library foundation and to have two dedicated digital access librarians.But in this time of great transition, we were still left wondering how we were going to offer complex programs on topics like augmented reality (AR) in a virtual environment. We found great success with the Flipped Classroom model, where kids and families do some downloading, experimenting, and playing in advance.
VIDEO LESSONS AS AN ELEMENT OF THE SYSTEM OF METHODOLOGICAL TRAINING OF BIOLOGY TEACHERS TO DESIGN A PERSONALITY-ORIENTED EDUCATIONAL PROCESS

Systemic changes in the methodological training of future teachers are determined by the need of society for a teacher capable of implementing the ideas of humanism – the leading principle of modernization of education. Preparing a teacher for the implementation of a person-oriented educational process will ensure the transition of the school to a qualitatively new state. This activity requires the teacher to possess effective methodological tools for designing the environment for the development of the student's personality and appropriate methodological training. The article focuses on the problem of methodological training of future biology teachers to 18 Социальные науки Social Sciences design the environment for personal development of schoolchilds. Innovative technology is revealed as a part of the system of personal-oriented methodological training of students, which is a cyclical development of the design of "personal-oriented methodological objects". The place of video lessons in the system of methodological training and their significance in the formation of a holistic image of the personality-oriented educational process is shown. The creation of video tutorials and their methodological support, developed with the participation of teachers, psychologists and methodologists who own the methodological tools of the personaloriented educational process, is a certain contribution to solving the problem of the content of school biological education at the level of the educational process. At this level, the teacher plays an important role in shaping the content. But even an experienced teacher with practical teaching experience is not sufficiently prepared for the system design of a person - oriented educational process. The author proves the need to create methodological manuals for designing a person-oriented educational process with the inclusion of video tutorials in the form of an electronic application. It is emphasized that an important role in solving this problem can be played by the restoration of the Institute of methodologists who translate the theoretical provisions of science and the methods of practical actions of the teacher.
Implementasi Metode Penalaran CBR dalam Mengidentifikasi Gejala Awal Penyakit Jantung menggunakan Algoritma Sorensen Coeffient

Heart disease is a condition when the heart is experiencing a disorder. The forms of disturbance that are experienced are usually various. Usually there is a disturbance in the blood vessels of the heart, heart rate, heart cover, or congenital problems. The heart itself is a muscle consisting of four chambers. That is, the first two rooms are located at the top, the atrium (foyer) to the left and right. Then the other two rooms are at the bottom, namely the right and left ventricles. To provide information on how to diagnose the type of disease and how to control heart disease, an application of an expert system that can represent someone who is an expert in their field is needed to provide solutions to this disease problem using the Case-Based Reasoning method with the Sorensen Coeffient approach. The result of this research is the creation of an expert system for diagnosing heart disease using the Case-Based Reasoning method with the Sorensen Coeffient approach which is able to provide solutions to heart disease.Keywords:CBR, Expert system, Heart Disease, Method Sorensen Coeffient.
Penerapan Media Schoology untuk Meningkatkan Motivasi dan Hasil Belajar Siswa dalam Pembelajaran Bahasa Indonesia di SMP Negeri 3 Bojong Pekalongan

This study aims to analyze the increase in motivation and student learning outcomes in learning Indonesian using schoology media assisted by the WhatsApp application. This research method used quasi-experimental with pretest-posttest control group design. The research sample consisted of class VIII A as the experimental class implementing Distance Learning with schoology media assisted by the WhatsApp application and class VIII B as the control class without using schoology media. Data collection techniques with knowledge competency tests, questionnaires, and interviews. Meanwhile, the data analysis technique used in this research was quantitative and qualitative descriptive analysis. The results of this study indicate that the competence of news text knowledge in the experimental class using schoology media is better than without using schoology media. The average learning outcomes obtained were 81, the average N-gain obtained was 0.72 in good category. So it can be concluded that there is an increase in student motivation and learning outcomes in learning Indonesian.