Reviewerly/exHarmony huggingface dataset:
THE CORRELATION OF BASIC TENSES TOWARDS THE PUBLIC SPEAKING ABILITY OF SIXTH SEMESTER STUDENTS

The aim of this study is to see the correlation of mastering eight basic tenses towards the public speaking ability of 6th semester students. This research used qualitative method. The information was collected by employing questionnaire to indicate the participant’s perceptions about mastering eight basic tenses towards the general public speaking ability and also the explanations behind such opinion. The subject was 50 students that studied in the department of English Education in one amongst private university in Medan, North Sumatra. The finding found that the there is a correlation of mastering eight basic tenses towards the public speaking ability students. They believed that eight basic tenses grammar in this case is important as their starting point if they want to be able to speak. They also believed that it will be appalling if they speak English with wrong grammar. Students also mentioned that it is a problem of pronunciation, confidence and the fear of being criticized by the audience that hamper them from speaking English. Article visualizations:
Perancangan Aplikasi Mobile Penyetoran Ayat Untuk Mahasiswa Komprehensif di IAIN Bukittinggi Berbasis Android

This research is motivated by the need for a verse deposit system by students to PA lecturers, students in depositing surah to PA lecturers do not need to carry a deposit card anymore, and do not need to buy into the photo copy building anymore, usually in paragraph deposits students always carry a deposit card every time. want to deposit verses to the PA lecturer, so that sometimes students forget to bring their deposit cards. The purpose of this study was to produce a database of verse deposit storage performed by students to PA lecturers. The type of research used in this research is Research and Development (R&amp;D) research, which is a method used to produce a system, the R&amp;D model used is the 4D version, namely, Define, design, develop, and disseminate, with the system development model using the System Development Life Cycle (SDLC), by applying the waterfall model consisting of, Communication, Planning, Modeling, Construction, and Deployment. Based on the results of the research conducted by the researchers, the researcher succeeded in making a product of the verse deposit system in Iain Bukittinngi. The results of the validity test conducted by computer experts show that this product is very valid with a value of 0.78. The results of the practicality test conducted by PA lecturers showed that this product was declared very practical with a value of 0.96 and the results of the effectiveness test conducted with students showed that this product was very effective with a value of 0.82.
UAV 및 열화상 모듈 기반 외관 결함 탐지 기술

Conventional safety inspections and precise safety diagnoses require enough time to get diagnostics for large areas, and it is difficult to rapidly assess the extent of damage and evaluate safety in the event of a national disaster such as an earthquake. As an alternative to this, it is applied to actual buildings by using the building safety preliminary detection technology which detects the appearance defects of buildings by using the newly developed UAV, AI and BIG-DATA technologies.
What is the Driving Force for Sustainable Use of Curation Commerce?: around User"s Evaluation of Products and Information

Curation Commerce has been increasingly attention due to the excess of products and information. The purpose of this study predict a motive driving the selection and continuous use of Curation Commerce in online shopping environments. Curation Commerce is a kind of e-commerce, in which reliable domain experts recommend high quality products. This study drew
THE FORMATION OF STUDENTS RESEARCH COMPETENCIES

The article discusses the issues of preparing students for the implementation of information projects in the study of disciplines of specialization «Special (defectological) education». Presents the system of for-mation of professional competencies during implementation of the project activities.
Stability of Neural Ordinary Differential Equations with Power Nonlinearities

The article presents a study of solutions of ODEs system with a special nonlinear part, which is a continuous analogue of an arbitrary recurrent neural network (neural ODEs). As a nonlinear part of the mentioned system of differential equations, we used sums of piecewise continuous functions, where each term is a power function. (These are activation functions.) The use of power activation functions (PAF) in neural networks is a generalization of well-known the rectified linear units (ReLU). In the present time ReLU are commonly used to increase the depth of trained of a neural network. Therefore, the introduction of PAF into neural networks significantly expands the possibilities of ReLU. Note that the purpose of introducing power activation functions is that they allow one to obtain verifiable Lyapunov stability conditions for solutions of the system differential equations simulating the corresponding dynamic processes. In turn, Lyapunov stability is one of the guarantees of the adequacy of the neural network model for the process under study. In addition, from the global stability (or at least the boundedness) of continuous analog solutions it follows that learning process of the corresponding neural network will not diverge for any training sample.
Cost Effective Cloud Storage Interoperability Between Public Cloud Platforms

With recent advancement in technology, cloud storage became cheaper enabling organizations around the world to store more data on the cloud (texts, images, videos, databases etc.), whereas it’s for a backup, archiving or just storing data streams. New digital laws and regulation (eg. General Data Protection Regulation) require these organizations to change their way of processing or handling data, which results usually in a change of cloud providers or adoption of hybrid architecture or multi-cloud one. With the amount of data stored increasing year after year, it becomes difficult for these organizations to change cloud platforms or cloud provider and migrate their data without thinking about the technical complexity, the time and the huge cost it may incur. This article discusses the data migration and interoperability issues between cloud platforms; the proposed approach provides a simple cost-effective migration that would help organizations save time and money in this process based on a  hybrid ontology approach for the brokerage of data transfers.. Keywords-Cloud Computing; Storage; Security; data; migration; cost optimization;
The Herky-Jerky Weirdness of Earth’s Magnetic Field

Dented, erratic, and wandering, our field is constantly changing its mind.
Pelatihan dan penerapan e-learning dan m-learning di SMK Muhammadiyah Minggir Sleman

In order to increase the effectiveness and efficiency of learning, it is necessary to develop innovative and creative learning models so that the learning process is not always boring,  uninteresting and monotonous which can hinder the process of knowledge transfer. Muhammadiyah Minggir Vocational High School (SMK), Sleman Regency, has not taken advantage of the use of information technology in teaching and learning activities, so it is necessary to have assistance in community service in the form of training and application of e-learning and m-learning for teachers at Muhammadiyah Minggir Vocational School. This activity aims to (1) provide knowledge and skills to teachers in utilizing e-learning and mlearning in learning at SMK Muhammadiyah Minggir, Sleman Regency, (2) train teachers to utilize information technology in the learning process and provide alternative learning media through e-learning (3) increase knowledge in making subject matter, questions and  exercises for students easily accessible. The implementation of the activity is carried out in 2 days with a training implementation method that presents modules for participants, tutorials / mentoring, training / workshops and process evaluation. The results and impact of this training is that partners will increasingly understand and be skilled in implementing -learning and M-learning in learning activities.
Volcano Video Data Characterized and Classified using Computer Vision and Machine Learning Algorithms

Abstract Video cameras are common at volcano observatories, but their utility is often limited during periods of crisis due to the large data volume from continuous acquisition and time requirements for manual analysis. For cameras to serve as effective monitoring tools, video frames must be synthesized into relevant time series signals and further analyzed to classify and characterize observable activity. In this study, we use computer vision and machine learning algorithms to identify periods of volcanic activity and quantify plume rise velocities from video observations. Data were collected at Villarrica Volcano, Chile from two visible band cameras located ~17 ​km from the vent that recorded at 0.1 and 30 frames per second between February and April 2015. Over these two months, Villarrica exhibited a diverse range of eruptive activity, including a paroxysmal eruption on 3 March. Prior to and after the eruption, activity included nighttime incandescence, dark and light emissions, inactivity, and periods of cloud cover. We quantify the color and spatial extent of plume emissions using a blob detection algorithm, whose outputs are fed into a trained artificial neural network that categorizes the observable activity into five classes. Activity shifts from primarily nighttime incandescence to ash emissions following the 3 March paroxysm, which likely relates to the reemergence of the buried lava lake. Time periods exhibiting plume emissions are further analyzed using a row and column projection algorithm that identifies plume onsets and calculates apparent plume horizontal and vertical rise velocities. Plume onsets are episodic, occurring with an average period of ~50 ​s and suggests a puffing style of degassing, which is commonly observed at Villarrica. However, the lack of clear acoustic transients in the accompanying infrasound record suggests puffing may be controlled by atmospheric effects rather than a degassing regime at the vent. Methods presented here offer a generalized toolset for volcano monitors to classify and track emission statistics at a variety of volcanoes to better monitor periods of unrest and ultimately forecast major eruptions.
On the optimization of Hadoop MapReduce default job scheduling through dynamic job prioritization

One of the most popular frameworks for big data processing is Apache Hadoop MapReduce. The default Hadoop scheduler uses queue system. However, it does not consider any specific priority for the jobs required for MapReduce programming model. In this paper, a new dynamic score is developed to improve the performance of the default Hadoop MapReduce scheduler. This dynamic priority score is computed based on effective factors such as job runtime estimation, input data size, waiting time, and length or bustle of the waiting queue. The implementation of the proposed scheduling method, based on this dynamic score, not only improves CPU and memory performance, but also reduced waiting time and average turnaround time by approximately $45%$ and $40%$ respectively, compared to the default Hadoop scheduler.
A Brief Analysis on the Optimization of College English Course Activities

English course activities are the key link of teaching success or failure, and are of special significance to the improvement of students' Comprehensive English ability. This paper analyzes the principles of course activity design and how to arouse students' participation consciousness
The students’ perception in using Google Translate as a media in translation class

This Research describes students’ perception of using Google Translate as a media in Translation class. Perception in this research was what students think about Google Translate and how it affects them in the translating process. The research was focused on the advantages and disadvantages, solution and problem found in using Google Translate. The method used in this research was the descriptive method. The researcher analyzed the role of Google Translate for the translating process in class. The subject was the sixth-semester students and there were 64 students. In collecting the data needed, this research used questionnaires, translation task, and interviews as the instruments. It was 96% of students used Google Translate frequently. The results of this research showed that most students used Google Translate as a fast dictionary. The use of Google Translate frequently was for translating sentence by sentence and enriching students’ vocabulary. Almost all students realized that Google Translate could not be good media without rechecking. The students’ translation task score showed that the translation quality assisted by Google Translate was not good but also not bad. Additionally, the accuracy of Google Translate made students kept learning and practicing grammar and also improving their translation skills.
Studi Implementasi Kebijakan Work From Home pada Pustakawan di LIPI

Corona Virus Disease 2019 (COVID-19) pandemic that hits Indonesia makes leading Indonesian government take policy measures by launching regulations in implementation procedures within government agencies. LIPI issued a circular to promote Increasing Awareness and Prevention of Spreading of COVID-19 Infection within LIPI’s offices environment. The LIPI Scientific Documentation and Data Center (PDDI) received this mandate to carry out and regulate the policy for carrying out official duties at home (WFH). This paper aims to describe the implementation of the policy of carrying out official duties at home (WFH) for librarians in the PDDI LIPI. Implementation of this policy shows that as an implementing institution unit, PDDI follows up on the policy by issuing work from home assignments with provisions that refer to the circular of the head of LIPI. The target group in this policy is librarians in LIPI. This paper applies descriptive writing with quantitative data approach. The results of this study indicate that principally, the objectives of this policy have been achieved. The target group optimally carries out official duties at home. The survei shows that the target group has implemented the policy in accordance with the direction of LIPI Chairman. The communication pattern and interaction between the policy implementer and the elements implementing the policy are relatively good, so that the policy can be implemented as expected. Communication media is very flexible and not rigid, information related to policies, policy changes are conveyed through the WhatsApp group communication channel so that librarians can immediately receive the policy information. In this policy implementation model, the implementing organization minimizes the factors that make this policy not properly implemented, namely by arranging picket schedules, providing official vehicles for those who do not have private vehicles and lending work facilities to be brought home.
Brief analysis of educational policy of the People’s Republic of China

The study is devoted to the problems of education, since education is a strategic area, as it forms public consciousness and a system of values. According to the authors, the importance of education and the importance of its reform should not be underestimated, since the goals, content of education and the degree of its impact on all respondents of the educational process determine the present and future of society. The reform process in this area currently covers all countries and states without exception. Education reflects the general dynamics of integrating intellectual property into market relations and becomes an integral part of the “consumer society”. The subject of this research is the educational policy of the Chinese leadership. If earlier the countries of the East paid attention and borrowed a lot from the West - the market economy, political systems, as well as the education system, now, in the 21st century, on the contrary, the countries of the West are studying the East. According to the authors, despite the variety of works devoted to the problems of education considered in the article, the experience of China currently requires a deeper study and rethinking. The Chinese government prioritizes education, closely linking the economic success of society with education reforms. In this regard, the topic of this article seems to be very relevant. The research methodology is based on a combination of descriptive and structural analysis. This article examines the micro and macro trends in the development of education in China in the near future, which is the practical significance of the study. The authors conclude that the measures taken by the leadership of the PRC in the field of education are very successful and can be useful for overcoming the systemic crisis in education in Russia. Today, in the opinion of many scientists, in the context of globalization, the convergence of the eastern and western education systems will contribute to a paradigm shift: the technocratic vector of education will be replaced by an anthropological one, and the main resource of the educational process will be the eastern philosophy and the educational system of Asian countries, in particular China. The analytical base of the study includes legislative and regulatory acts, materials from periodicals, a review of scientific articles by experts in the field of education
P5_3 ”When This Baby Hits 88 Miles Per Hour...”

In this paper we examine the key physical aspects required for a car to ignite Asphalt by driving over the surface, as seen in the highly popular 1985 film ”Back to the Future”. We calculated the energy transferred through the tyres to the road, and found that the car dissipates around 40 % of the energy required to ignite the road surface. Subsequently, we concluded that to create the fiery visuals as seen in the film the car would have to undergo instantaneous acceleration equivalent to 136 G-force.
Comparison of Research Methods in Applied Linguistics--Quantitative, Qualitative and Mixed Methods

The purpose of this paper is to compare and critique three traditional research methods: quantitative, qualitative and mixed methods. The article begins with a review from some research papers relating to the comparison of quantitative and qualitative methods. Definitions, Characteristics, strengths and limitations are discussed. Research papers have been examined and analysed in order to critique how these three methods have been applied in applied linguistics. It concludes that the best method depends on the knowledge of researchers, research questions and research purpose.
An InP-based integrated modulated coherent state source for differential phase shift quantum key distribution

A low-cost integrated differential phase shift QKD transmitter, which consist of a distributed Bragg reflector laser, a phase modulator, and Mach-Zehnder modulator sections for pulse carving and optical attenuation is presented. Initial characterization results of the laser, and the modulator sections are demonstrated.
The Representation of the Temporal Properties of Linguistic Utterances through a Mathematical Model

In this article we use a mathematical model to encode the temporal properties of linguistic utterances across languages by means of mathematical objects—points, lines, segments, vectors and versors—and the relations established among them in a four-dimensional space. Such temporal properties are encoded through threedifferent systems: tense—past, present and future—which locates the utterance on a temporal line, aspect—perfectivity and progressivity—which sets the viewpoint of the speaker, and Aktionsart, which refers to the structural temporal properties of the utterance such as telicity—whether the event has an endpoint or not—dynamicity—whether a change is conveyed or not—and duration. This model aims to be language independent in order to allow for the codification of the temporal properties of utterances in any language, thus rendering it appropriate to be used as an interlingua in Natural Language Processing (NLP) applications. This wouldsignificantly improve the comprehension of natural language in search engines and automatic translation systems, to name two examples. Hence, our ultimate goal is for this model to achieve computational adequacy.
Learning-based Image Restoration Method for Blurred License Number Plate Images

Blind image restoration, which restores a clear image from a single blurry image, is one of the critical problems in image processing. In this paper, we utilize a learning-based restoration method that learns sharp images without blur and blurred images, and supposes the restoration of blurred images that occur especially when shooting fast-moving objects such as cars. We propose a learning-based method to improve the image quality for blurred license number plate images. Experimental results show that fine images are obtained for our proposed method.
Cultivating the Innovation Ability of Middle School Studentsin Computer Teaching Process

With the continuous improvement of teaching level in colleges and universities, the related problems of computer teaching have also attracted people’s attention.Nowadays, in the era of information network, the importance of computer is self-evident, which also improves the specific requirements of computer teaching in colleges and universities. In the process of computer teaching, teachers can not teach for teaching, not only let students master computer knowledge, but also need to cultivate students’ innovative ability. In order to truly lay a solid foundation for the development of our computer industry.Therefore, this paper analyzes the cultivation of students’ innovative ability in the process of computer teaching in colleges and universities, hoping to provide some reference for relevant teachers.