Reviewerly/exHarmony huggingface dataset:
Caracterización didáctico - evaluación en la enseñanza de las ciencias sociales y naturales: Pandemia año 2020

The teaching process in the areas of Social and Natural Sciences has become a challenge for the faculties of Education and Educational Institutions, the articulation and implementation of their area plans and other curricular tools seek that scientific knowledge to be shared with the students. Students are presented from a didactic direction, strategically created, that is, to convert a knowledge to be taught and apprehended. In addition, this challenge is compounded by the situations generated by the pandemic caused by COVID-19, which forced governments to interrupt the classes that were being developed in person in all schools and establish a pedagogical route from virtuality or modality remote (MINSALUD, 2020). In this way, particular orientations are proposed from the didactic and evaluative in the area of social and natural sciences, becoming pillars to be able to meet this educational need. A didactic-evaluative characterization was implemented in ninth grade students, with the purpose of making a characterization that addresses the didactic-evaluative component, from the teaching of these areas. A mixed research methodology was used, with a comparative cut and a descriptive approach, the sample was made up of 20 students and 4 teachers; intervened in three structural phases until their result; The first consists of a planning process that responds to the specific guidelines of each area. The second refers to educational resources during the pandemic, in which the use of physical guides predominated. Finally, in the evaluation, it was determined that in the face-to-face and virtual-remote modality, the written evaluation and appropriation of concepts predominated.
Pemanfaatan Microsoft Excel Untuk Mensimulasikan Grafik Gaya Listrik 3 Muatan Titik Untuk Menentukan Posisi Muatan Ke-3 Dengan Gaya Listrik Nol

Abstract The research aims to simulate the electric force of the interaction of three-point charges using Microsoft Excel to determine the 3rd charge position, which does not experience an electric force (the electric force is equal to zero). The research method used is to simulate a 3-point charge graph of the electric force for various electric charge composition models, then determine the position where the electric force is zero. The results show that for two similar charges (positive and positive) or (negative and negative), the 3rd charge position so that the electric force is zero is located between the two charges and is closer to the charge with a smaller value. Meanwhile, for two different charges, the 3rd charge position so that the electric force is zero is located outside the two charges and near the charge, which has a smaller value. This shows that Microsoft Excel can simulate 3 point charges' electric force to determine the 3rd charge position whose electric force is zero. Keyword: Electric field modeling, a two-point charge, Microsoft Excel.
Virtual Reality Headsets – Comparison, Analysis and Use in Training and Learning

Virtual Reality (VR) technologies have developed rapidly in recent years. We have seen tremendous progress in the development of both VR software and hardware. VR is in creas ingly used as a tool for training and learning in various areas of life. This paper presents the currently available types of VR devices and compares their technical properties, technologies and price. It anal yses the capabilities of certain devices and offers possible ways of using VR headsets in education. The purpose of the study is to help choose the right VR headset in the processes of training and learning. These helmets are divided into three classes – low, medium and high – depending on their technical characteristics, the technologies they use, and their price. Cost can be an important factor in the need for mass training. The results determine the following devices as the best ones in each class: Samsung Gear VR (low class), Oculus Quest (middle class), VIVE Pro Eye and Varjo VR-2 Pro (high class). The latter is regarded as the most powerful VR headset. The paper also considers the latest technologies that have already been integrated in some VR headsets – eye tracking, hand tracking, tracking with Base Stations, object tracking and wireless connection. They may be absolutely necessary for the training and learning processes, or completely unnecessary which may reduce costs.
IMPLEMENTING STEM APPROACH IN KINDERGARDEN

The following work is devoted to the description of an innovative approach to kindergarten learning through the application of the methods of science, technology, engineering and mathematics, better known as STEM learning. The aim of the work is to increase popularity of the approach and stimulate teachers to implement it more often in the learning process. STEM increases children’s knowledge and skills, thanks to the interdisciplinarity, research approach, learning by playing, learning by doing, project-based and problem-based learning and the opportunity for touching to real-life situations. This paper addresses the main principles of STEM and the possibilities for realization different STEM situations, based on the kindergarten curriculum. Different digital tools are described, like programmable toys and devices and LEGO constructors. Various ideas for conducting experiments are presented, too. They are useful for increasing children’s motivation and interest in the approach. An example version of a plan for work on a STEM project is proposed, which includes the steps for its implementation and which is adapted to the expected learning results in the kindergarten.
110 Years from the Birth of Nikola Vaptsarov. Vaptsarov international prize “The sea and the machines”

The paper is a result of 10 years of research on the literary work of Nikola Vaptsarov and is a sequel of the author’s monograph about the poet and the sailor, who related the sea and the machines with the human’ soul and who praised faith and love, freedom and peace, issued in 2009. Nikola Vaptsarov’s contribution as a poet and an innovator in creating new poetic forms and giving a soul to the machines, the ships and the sea has been investigated. Considering the great contribution of Nikola Vaptsarov to the spiritualization of the sea and the machines and creating a unified harmony and synergy with the human soul the author proposes establishing a Presidential Vaptsarov International Prize “The Sea and the Machines”.
Enhanced Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Recently, the demand for high-quality video content has rapidly been increasing, led by the development of network technology and the growth in video streaming platforms. In particular, displays with a high refresh rate, such as 120 Hz, have become popular. However, the visual quality is only enhanced if the video stream is produced at the same high frame rate. For the high quality, conventional videos with a low frame rate should be converted into a high frame rate in real time. This paper introduces a bidirectional intermediate flow estimation method for real-time video frame interpolation. A bidirectional intermediate optical flow is directly estimated to predict an accurate intermediate frame. For real-time processing, multiple frames are interpolated with a single intermediate optical flow and parts of the network are implemented in 16-bit floating-point precision. Perceptual loss is also applied to improve the cognitive performance of the interpolated frames. The experimental results showed a high prediction accuracy of 35.54 dB on the Vimeo90K triplet benchmark dataset. The interpolation speed of 84 fps was achieved for 480p resolution.
The Role of Teachers in Simple Sentence Writing Learning for Primary School Students

The purpose of this study was to determine the role of teachers in the development of primary school pupils' ability to compose basic phrases. The descriptive qualitative research approach was adopted in this study. The information was gathered through observation, interviews, and the review of records. Participants in the study were first-grade instructors at SDN 151 Pekanbaru, in the province of Riau. Data triangulation is used in the data credibility test because it allows researchers to double-check their findings by comparing them to other sources. According to the Miles and Huberman data analysis model, there are three steps: (1) data collection (data collection), (2) data presentation (data presentation), and (3) conclusion formulation and verification (conclusion drawing). The findings of the study indicate that the teacher's role in helping grade I students at SDN 151 Pekanbaru learn to write basic sentences has been going fairly well, with numerous stages, such as being a teacher, mentor, trainer, and learning manager, all of which have been quite successful. In addition to improving the quality of the teaching and learning process by providing adequate learning facilities, the findings of this study have broader ramifications.
Achieving Service Recovery Through Service Innovation in the Hotel Industry: The Critical Role of Employee Empowerment

Research in service recovery and service innovation has attracted significant attention in recent years but few studies have focused on achieving service recovery through service innovation. The current study aims to bridge this gap in research – to investigate the effect of service innovation on service recovery. Additional emphasis is also given to examining whether employee empowerment serves as a mediator between service innovation and service recovery in the hotel industry. A quantitative survey method was applied by using a 60-item questionnaire and data collected from a sample of 381 employees from five-star hotels in Jordan. The findings confirmed the hypotheses, revealing a direct effect of service innovation on employee empowerment which, in turn, had a significant influence on service recovery. Additionally, this study proposed a model of influence of service innovation in service recovery, whereby employee empowerment fully mediates this relationship. The current study contributes to the existing literature on service innovation and service recovery as it identifies the role of service innovation in enhancing service recovery performance in hotels.
THEATRICAL FORMS AND PROJECTS IN KINDERGARTEN

In the article the author considers first the project and its place in the kindergarten, and then the theatrical forms with their aspects of application. He then summarizes their possible connection and how they could be used together for the benefit of the educational process. The educational directions in which these strategies can be applied are considered. She then gives a number of examples of good practice, presenting the pedagogical examples she has worked with. Realized activities are indicated, which have brought added value in the work of the pedagogues from the indicated kindergarten. The results of this interaction are analyzed and conclusions are made about their importance. The author describes a number of ideas that can be used immediately by colleagues.
LibGuides: Emory's LibGuide on LibGuides: Best Practices & Guidelines for Creating and Maintaining LibGuides: Sharing your Published Guide for Reuse

An internal guide for Emory Libraries. Control how guides can be shared internally or by the the LibGuides Community
ESP Course Teaching Guided by POA Theory in the Context of Artificial Intelligence

The ESP teaching model is more suitable for cultivating professional talents than the traditional college English teaching, making college English a vocational education position and breaking through the limitations of the previous education system on the development of college English. In the era of new media, ESP (English for Specific Purposes) teaching can provide targeted English teaching based on students’ majors, prompting students to adapt to professional development, so as to meet the requirements of college students for English teaching in the future. This paper analyzes the basic concepts of ESP, combines the current status of ESP teaching in Chinese universities, and proposes ESP teaching strategies based on mobile learning. In order to improve the quality and efficiency of college ESP teaching work, so as to promote the development of college ESP education.
CHALLENGES IN ONLINE EXAMS FOR ENGINEERING UNDERGRADUATE COURSES

One of the academic outcomes of COVID-19 was the need to perform all exams off-campus. The new situation brought forward many challenges, both for the students and for the lecturers. While students must deal with taking exams in an environment other than a classroom while being watched by cameras, the lecturers need to write tests that are easy to submit online and evaluate electronically. The new settings might lead to undesirable effect on the students' grades. In this work we examine three undergraduate Engineering courses with different teaching methods and compare the performance of students in on-campus tests taken in 2019 and in off-campus (online) tests taken in 2020. All the courses that were chosen were taught at least 3 times before 2020 to ensure that the results are not affected by the primacy of a course.The first course was a course in Signal Processing for Software Engineering. The teaching method in 2019 and previous years was to use presentations and write remarks on the whiteboard next to the screen. In 2020 the course was taught via Zoom were the lecturer shared the presentations with the students and added remarks on the presentations. The second course was a course in Electronic Circuits for Mechanical Engineering. The teaching method in 2019 and previous years was to write everything on the whiteboard and to give the students access to the lecture notes on the website. In 2020 the course was taught via Zoom were the lecturer shared his tablet-whiteboard with the students and wrote everything on the whiteboard. The Third course was a course in Matlab Basics for Electrical Engineering. The teaching method in 2019 and previous years was to locate the students in a computer room where the lecturer controlled the students' computers and presented a pre-made code that demonstrated the software abilities. In 2020 the course was taught via Zoom were the lecturer shared his Matlab screen with the students and taught using the pre-made code. In 2020, in all three courses, lectures were recorded, and the students were given access both to the lecture notes/presentations/codes and to the recordings.In all three exams the students had to write their answers on paper and then scan and upload to the college website. All the students had to be connected to Zoom during the exam and to turn their cameras on. The students were observed by the lecturer and a college chaperon via Zoom. The exams were all open material so there was no fear that the students will use material they are not allowed to use during the test. The author compared the performance of the students in 2020 to that in 2019 to examine the effect of online testing.
National COVID-19 Health Contact Tracing and Monitoring System: A Sustainable Global and Namibian E-business and E-governance Context

Covid-19 is the destructive world's most recent pandemic that is experienced in every part of the world. This deadly virus affects different people in different ways. Most infected people will develop mild to moderate illness and recover without hospitalisation. Covid-19 most common symptoms include fever, dry and tiredness. It is against this background that in Namibian health environment the country uses a manual system to record public member's demographic information when visiting public places which do not allow tracing and monitoring of every public member who visited the 14 regions in the country. Therefore, the present study developed a National COVID-19 health contact tracing and monitoring system which will allow every public member who visits an enclosed public place by capturing their demographic information as well as the date and time the facility was visited. The system replaces the paper-based method of recording the information of people visiting public places with an entrance that allows the coming in and out of people. The system will also allow for real-time monitoring of temperature changes of individuals.
The Viber Application and its Use by Elementary School Students for Forming Key Competences in Mathematics

Technology is changing our lives and our way of learning. Contemporary teaching is subject to high standards – to train people who think and have universal learning and problem-solving skills. Mastering key competences is impossible without integrating information and communication technologies. The Viber app is the affordable way to connect education in maths to students’ interests and needs for information technology.
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages

We conduct an empirical study of neural machine translation (NMT) for truly low-resource languages, and present a training curriculum fit for cases when both parallel training data and compute resource are lacking, reflecting the reality of most of the world’s languages and the researchers working on these languages. Previously, unsupervised NMT, which employs back-translation (BT) and auto-encoding (AE) tasks has been shown barren for low-resource languages. We demonstrate that leveraging comparable data and code-switching as weak supervision, combined with pre-training with BT and AE objectives, result in remarkable improvements for low-resource languages even when using only modest compute resources. The training curriculum proposed in this work achieves BLEU scores that improve over supervised NMT trained on the same backbone architecture, showcasing the potential of weakly-supervised NMT for low-resource languages.
A Visual Mining Approach to Improved Multiple- Instance Learning

Multiple-instance learning (MIL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags. This problem is often addressed by selecting an instance to represent each bag, transforming an MIL problem into standard supervised learning. Visualization can be a useful tool to assess learning scenarios by incorporating the users’ knowledge into the classification process. Considering that multiple-instance learning is a paradigm that cannot be handled by current visualization techniques, we propose a multiscale tree-based visualization called MILTree to support MIL problems. The first level of the tree represents the bags, and the second level represents the instances belonging to each bag, allowing users to understand the MIL datasets in an intuitive way. In addition, we propose two new instance selection methods for MIL, which help users improve the model even further. Our methods can handle both binary and multiclass scenarios. In our experiments, SVM was used to build the classifiers. With support of the MILTree layout, the initial classification model was updated by changing the training set, which is composed of the prototype instances. Experimental results validate the effectiveness of our approach, showing that visual mining by MILTree can support exploring and improving models in MIL scenarios and that our instance selection methods outperform the currently available alternatives in most cases.
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud

Depending on energy sources and demand, the carbon intensity of the public power grid fluctuates over time. Exploiting this variability is an important factor in reducing the emissions caused by data centers. However, regional differences in the availability of low-carbon energy sources make it hard to provide general best practices for when to consume electricity. Moreover, existing research in this domain focuses mostly on carbon-aware workload migration across geo-distributed data centers, or addresses demand response purely from the perspective of power grid stability and costs. In this paper, we examine the potential impact of shifting computational workloads towards times where the energy supply is expected to be less carbon-intensive. To this end, we identify characteristics of delay-tolerant workloads and analyze the potential for temporal workload shifting in Germany, Great Britain, France, and California over the year 2020. Furthermore, we experimentally evaluate two workload shifting scenarios in a simulation to investigate the influence of time constraints, scheduling strategies, and the accuracy of carbon intensity forecasts. To accelerate research in the domain of carbon-aware computing and to support the evaluation of novel scheduling algorithms, our simulation framework and datasets are publicly available.
Measurement Reduction in Variational Quantum Algorithms

Variational quantum algorithms are promising applications of noisy intermediate-scale quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-measure experiments that estimate terms in a Hamiltonian. The number of terms can become overwhelmingly large for problems at the scale of NISQ hardware that may soon be available. We use unitary partitioning (developed independently by Izmaylov et al. [J. Chem. Theory Comput. 16, 190 (2020)]) to define variational quantum eigensolver procedures in which additional unitary operations are appended to the ansatz preparation to reduce the number of terms. This approach may be scaled to use all coherent resources available after ansatz preparation. We also study the use of asymmetric qubitization to implement the additional coherent operations with lower circuit depth. Using this technique, we find a constant factor speedup for lattice and random Pauli Hamiltonians. For electronic structure Hamiltonians, we prove that linear term reduction with respect to the number of orbitals, which has been previously observed in numerical studies, is always achievable. For systems represented on 10--30 qubits, we find that there is a reduction in the number of terms by approximately an order of magnitude. Applied to the plane-wave dual-basis representation of fermionic Hamiltonians, however, unitary partitioning offers only a constant factor reduction. Finally, we show that noncontextual Hamiltonians may be reduced to effective commuting Hamiltonians using unitary partitioning.
Professional and educational goals of training civil servants

The article presents a system-activity approach to implementing the new federal state educational standard of higher education in the training direction 03.38.04 “State and Municipal Administration”. The article substantiates the methodology for designing a model of activities for public servants as the basis for determining professional goals of the educational process at a university. The author defines and differentiates the types of their activities according to the functional characteristics of various categories of civil servants. Professional goals are achieved through the development of professional competence of students, which implies the setting of the following educational goals: developing the student’s leadership potential; developing the citizenship as the ability to realize the rights and responsibilities of a citizen of the country; forming and developing meta subject skills, which are the signs of a civil servant’s professional qualities; mastering management technologies in a certain area of activity. The work presents the experience of approbation of the system-activity approach in the process of teaching. A special role is assigned by the author of information and communication activities of civil servants in the process of exercising their powers.