Reviewerly/exHarmony huggingface dataset:
Meningkatkan Hasil Belajar IPA Tema 8 Lingkungan Sahabat Kita pada Peserta Didik Kelas VB SD Negeri Kasreman di Semester II Tahun Pelajaran 2018/2019 dengan Metode Trading Place

The type of this research is a Class Action Research (CAR) with the purpose to analyze the application of the learning outcome improvement of Natural Science on the Eight Chapter about Environment, Our Friend of the students of Class V B the Elementary School of Kasreman on the Second Semester of the 2018/2019 year academic with Trading Place Method. The subjects of this research are the students of Class V B the Elementary School of Kasreman on the Second Semester of the 2018/2019 year academic as much as twenty five children; consist of twelve boys and ten girls. The subjects of this research are the students of Class V B the Elementary School of Kasreman on the first Semester of the 2018/2019 year academic as much as twenty five children; consist of twelve boys and ten girls. The data resources of this research are relating with learning activities and learning outcomes. Techniques of collecting data of this research are non test technique and test technique. Technique of analyzing data of this research is comparative description. The procedure of this research is the cycle model. The results of this research are 1) the learning of Natural Science on the Eight Chapter about Environment, Our Friend is choosing label on the group task, 2) the learning of Natural Science on the Eight Chapter about Environment, Our Friend is improving the students’ learning activities on active category (B), 3) the learning of Natural Science on the Eight Chapter about Environment, Our Friend with Trading Place Method is improving the students’ learning outcome on good category. The learning outcomes on the Early Condition are 57,27 for the average and 40,9% for the completeness. The learning outcomes on the First Cycle are 70,45 for the average and 54,54% for the completeness. The learning outcomes on the Second Cycle are 82,27 for the average and 90,9% for the completeness.
A Physical Layer Authentication Method Based on Optical Channel Dynamic Feature SNR

This paper proposes a physical layer authentication method based on the dynamic characteristics of optical channel. The signal-to-noise ratio (SNR) can accurately reflect the dynamic characteristics of the channel and authenticate users.
PERBEDAAN MOTIVASI BELAJAR IPS PADA MODEL PEMBELAJARAN CTL DAN EKSPOSITORI SISWA SEKOLAH DASAR

This study aimed to determine the difference of students’ learning motivation on CTL learning model and expository learning model. The implementation of CTL and expository learning model was proved to give different effect on the students’ motivation in learning social science subject. This study was quasi-experimental research which did not use a control group. The design of this study was nonequivalent groups pre-test-post-test design. This study was conducted at grade IV SDN 191 Pekanbaru with a total of 45 students. Different learning models significantly influenced the students’ motivation in learning social science. This difference was seen from the average value of the students’ learning motivation in which the average value for expository learning model was 52.72 and the value for CTL model was 79.69. This study also found that the difference value of expository learning model and CTL model towards the students’ motivation was 24.53% while the remaining 74.57% was influenced by other variables.
WHAT HISTORY SHOULD CHILDREN IN 5TH CLASS LEARN: TO THE PROBLEM OF UKRAINIAN PROPEDEUTICS

[Review of the publication "Concept and programs of teaching the history of Ukraine at school" (project). Materials of IV and V Workshops on monitoring of school textbooks of Ukraine ":" Program of teaching the history of Ukraine in school. 5th class: "Introduction to History" (author N. Yakovenko). - K., Stylos Publishing House, 2009].
Building Multi lingual TTS using Cross Lingual Voice Conversion

In this paper we propose a new cross-lingual Voice Conversion (VC) approach which can generate all speech parameters (MCEP, LF0, BAP) from one DNN model using PPGs (Phonetic PosteriorGrams) extracted from inputted speech using several ASR acoustic models. Using the proposed VC method, we tried three different approaches to build a multilingual TTS system without recording a multilingual speech corpus. A listening test was carried out to evaluate both speech quality (naturalness) and voice similarity between converted speech and target speech. The results show that Approach 1 achieved the highest level of naturalness (3.28 MOS on a 5-point scale) and similarity (2.77 MOS).
Use of Augmented Reality for demonstration of PET/CT and X-ray room to teaching Medical Physics in Nuclear Medicine

One of the great challenges for professionals in Medical Physics (MP) is to manage the fundamentals of radiation protection, aiming at the protection itself, the patient's, the general public and the environment. Thus, the use of techniques that adopt radiological protection is extremely relevant for application and training in the area. In this sense, this paperaims to propose the application of Augmented Reality (AR) methodology as a teaching tool in MP andNuclear Medicine (NM) training, using as an example the PET/CT equipment modeling and an X-ray room. The methodology involved the analysis of the equipment and the environment cited in real size for the modeling in virtual elements, and later creation of devices in the form of QR-codes, where it is possible to visualize the modeling animations. It is understood that the use of the AR tool can aid in equipment and procedurestraining, with emphasis on those that potentially pose a risk ofoccupational exposure to ionizing radiation in NM services. In addition, it can assist in the teaching of terms and concepts, by making learning more dynamic and interactive through the visualization of equipment, meeting the fundamentals advocated by radiation protection, by avoiding, for example, visiting an hospitalenvironment.
Grammatical error detection in transcriptions of spoken English

We describe the collection of transcription corrections and grammatical error annotations for the CROWDED Corpus of spoken English monologues on business topics.The corpus recordings were crowdsourced from native speakers of English and learners of English with German as their first language.The new transcriptions and annotations are obtained from different crowdworkers: we analyse the 1108 new crowdworker submissions and propose that they can be used for automatic transcription post-editing and grammatical error correction for speech.To further explore the data we train grammatical error detection models with various configurations including pretrained and contextual word representations as input, additional features and auxiliary objectives, and extra training data from written error-annotated corpora.We find that a model concatenating pre-trained and contextual word representations as input performs best, and that additional information does not lead to further performance gains.
Human 3D keypoints via spatial uncertainty modeling

We introduce a technique for 3D human keypoint estimation that directly models the notion of spatial uncertainty of a keypoint. Our technique employs a principled approach to modelling spatial uncertainty inspired from techniques in robust statistics. Furthermore, our pipeline requires no 3D ground truth labels, relying instead on (possibly noisy) 2D image-level keypoints. Our method achieves near state-of-the-art performance on Human3.6m while being efficient to evaluate and straightforward to
Biometric Foetal Contour Extraction using Hybrid Level Set

In medical imaging, accurate anatomical structure extraction is important for diagnosis and therapeutic interventional planning. So, for easier, quicker and accurate diagnosis of medical images, image processing technologies may be employed in analysis and feature extraction of medical images. In this paper, some modifications to level set algorithm are made and modified algorithm is used for extracting contour of foetal objects in an image. The proposed approach is applied on foetal ultrasound images. In traditional approach, foetal parameters are extracted manually from ultrasound images. Due to lack of consistency and accuracy of manual measurements, an automatic technique is highly desirable to obtain foetal biometric measurements. This proposed approach is based on global &amp; local region information for foetal contour extraction from ultrasonic images. The primary goal of this research is to provide a new methodology to aid the analysis and feature extraction from foetal images.
Statistics and Probability with Python

In the previous chapter, we learned about how to apply your knowledge of data analysis by solving some case studies.
Large Scale Processes for Understanding Extreme Rain Storm Over Rangamati on 12 June 2017- A Case Study

Attempts have been made to study the large-scale surface and upper air synoptic processes associated with a monsoon depression during 11-12 June 2017. In this study, Grid Analysis and Display System (GrADS) software has been used to prepare the large-scale sea level pressure and upper flow patterns by analyzing the FNL re-analysis data. In this analysis, FNL dataset is used to characterize the rainstorms, with key hydrometeorological variables describing the prior conditions of the very heavy rainfall event presented the study. National Center for Environmental Prediction (NCEP) Final (FNL) analysis data of 1o by 1o grids for every 6 hours are used for large scale synoptic analysis. The disastrous event was a strong monsoon depression in the early period of southwest monsoon 2017. Due to this depression, very heavy rainfall occurred in the southeastern Bangladesh. Rangamati recorded 343 mm of rainfall in the 24 hours on 12 June 2017. Massive landslides occurred in three districts such as Rangamati, Bandarban and Chittagong. The analysis of surface and upper air synoptic conditions has revealed that a well-marked low was formed over the northwest Bay of Bengal within the low-pressure belt passing from Somalia coast extending through southern Pakistan, and India up to east central Bay of Bengal and adjoining Bangladesh. The wind speed is calculated from the pressure distribution and is found to be 24.23ms-1, which is at par with the observed one. The well-marked low was subsequently intensified into a depression and moved northeastwards over Bangladesh. Strong southsouthwesterly winds were associated in the eastern side of the depression, especially over Chittagong Hill Tracts. The depression was found to extend up to 500 hPa level as seen from the distribution of geopotential and strong circulation around the centre. Winds were advecting from large continental and Ocean areas over the South Asia. Strong winds and moisture influx, strong narrow coma-like trough from a micro low at the surface to 500 hPa level as well as strong wind shear were responsible for the heavy rainfall, disastrous effects and massive landslides over Rangamati and adjoining areas.&#x0D; Journal of Engineering Science 11(2), 2020, 87-97
The problem of the development of foreign language professional competencies of public administration students

For the full realization of the strategic goals of public administration, as well as the worthy representation of the interests of the state at the international level, public servants must have high foreign language professional competencies. This is stated in the Concept of Sustainable Development until 2030, adopted by the UN in 2015, as well as in the Strategy for the Innovative Development of Russia until 2020, prepared by the Ministry of Economic Development of the Russian Federation. The author analyzed the current state of the level of foreign language training of the students at the Institute of Social Sciences (ISS) of the Academy of National Economy and Public Administration under the President of Russia (RANEPA) basing on a study of the practice of creating training programs for the development of foreign-language professional competencies of future public servants. The analysis included the identification of existing tasks, goals, learning technologies that could meet the qualification requirements of future public servants, the identification of ways to develop foreign-language competencies of students, the ways of improvement of methodological support for the teaching of foreign languages, the principles of using textbooks to solve the above-mentioned problems. The methodology of the study included the methodology of theoretical, analytical, empirical research (the questionnaire and the survey of 80 students of ISS, RANEPA) as well as a comparative research methodology. Some conclusions were made based on the results obtained, and the ways to improve programs for formation and development of foreign-language professional competencies of future public servants were outlined by the author. Some recommendations for teachers and education managers are given. The results of the study could help foreign language teachers create an effective learning environment for future public servants.
The Impact of Intellectual Capital on the Administrative Innovation among the Employees in the Commercial Jordanian Banks

Purpose: The study aims to investigate the effect of intellectual capital on the innovation among the administration staff in the commercial Jordanian banking sector. Design/Methodology/Approach: A simple sample was selected from administration staff in the commercial Jordanian banks during the study period, which consist (5%) from the overall study population. The questionnaire was the study tool to collect data. Findings: There is a significant impact of human capital on the innovation among the employees of Jordanian commercial banks. There is also a significant impact of structure capital on the innovation among the employees of Jordanian commercial banks and a significant impact of relational capital on the innovation among the employees of Jordanian commercial banks. Practical Implication: Findings can be used to enhance the employees’ administrative innovation in the commercial Jordanian banks by highlighting the significance of the intellectual capital and its role in motivating and promoting the employees’ work. Originality: The study is the authors’ work as a team and it is considered as a support to the significant effect of the intellectual capital on the innovation in the field of commercial banks.
Effective Occlusion Handling for Fast Correlation Filter-based Trackers

Correlation filter-based trackers heavily suffer from the problem of multiple peaks in their response maps incurred by occlusions. Moreover, the whole tracking pipeline may break down due to the uncertainties brought by shifting among peaks, which will further lead to the degraded correlation filter model. To alleviate the drift problem caused by occlusions, we propose a novel scheme to choose the specific filter model according to different scenarios. Specifically, an effective measurement function is designed to evaluate the quality of filter response. A sophisticated strategy is employed to judge whether occlusions occur, and then decide how to update the filter models. In addition, we take advantage of both log-polar method and pyramid-like approach to estimate the best scale of the target. We evaluate our proposed approach on VOT2018 challenge and OTB100 dataset, whose experimental result shows that the proposed tracker achieves the promising performance compared against the state-of-the-art trackers.
Integrating eXtended Reality and Digital Printing as a Solution for Personalized and Electronic/Printing Learning Teaching Approaches upon COVID19 Pandemics

The researched paper presented eXtended reality (XR) as it has revamped the way people experience the physical and the virtual environments, from observation to immersion. XR (AVR) is an umbrella term that encompasses both augmented reality (AR) and virtual reality (VR), among others (360 degrees, Holoride, Holoportation, Holofurnish, Remote Reality, 3D, 4D and beyond). Over COVID 19 each student looking forward to have a path to make the learning content much easier and very attractive, courses teachers/lecturers on the internet even though they explains the course data, students still have someway of misunderstanding, the old PowerPoint also doesn’t support them or the digital printed course data without adding any other helping technology.  Thus, the author has researched the paper content using the specified methodology to explore the integration between XR technology and digital printing to create opening new ways for the interaction between the physical digital printing and virtual world, which is a very important area for future learning applied upon pandemics or in future education. The theoretical study introduced the XR as it can even provide a new direction for the real world that we are living in by placing virtual objects into the learning scene and the different needed instruments in some cases, system design, the process adding XR, the new direction in XR libraries or even students self-learning and the potential for XR in learning applications and the most important famous worldwide projects near to that approach. As well as the study has emphasizes on the nowadays need to personalize learning especially upon pandemic times like (COVID 19). Whereas the practical study introduces XR/DP experiment learning system example which has been build up for what the integration between both XR and Digital Printing can create to lecturers/learners or even their families. The author continued search the technology acceptance model within a suggested constructs TAM model for the new example system depending five previous researches followed by statistical analysis. The results show the successful of the suggested research model of Technology acceptance Model of XR/DPLS. Finally, the author has recommended the ministry of higher education to start develop the experiment in a large over thinking ideas, to build up system platforms to be valid serving in all learning sectors.
Fraktal and transdisciplinary approaches in the study of fundamental human relationships

The article compares the transdisciplinary and fractal approaches in the study of the fundamental human relations (to oneself, to the world, society, the Absolute). The methodology of both approaches proceeding from the general principles of postnonclassical rationality can be noticed in this analysis. The commonality of these approaches is presented in a new scientific direction energy-information medicine. In the study of these human relationships, the fractal approach can be interpreted as transdisciplinary in its extremely comprehensive version. The aim of the study is to clarify the and commonality and differences in both approaches. The author comes to a conclusion the fractal and transdisciplinary approaches can intersect and overlap depending on the content and specific circumstances in studies of extremely complex systems (flora, fauna, humans, society, etc.).
Using LMS Schoology to Improve Learning Outcome of English Teacher Training Participants

Abstract&#x0D; This research was based on the teaching and learning process now in the education and training field which most of it still tends to be done conventionally. Learning through E-learning can overcome the constraints of space and time. Widyaiswara (Instructor) and training participants can make the learning process both synchronous (direct), and asynchronous (indirectly) through the virtual world. This study is intended to describe the influence of LMS Schoology in improving the learning outcomes of English Training participants in Religious Education and Training Center (BDK) Surabaya. Formulation of the problem “Is there a significant and positive influence on the use of LMS Schoology on Improving Learning Outcomes of English Teacher Training Participants?” The research method used is pre-experimental one group pretest-postets with regression analysis. Regression analysis is used to find out how much influence the independent variable has on the increase in the dependent variable. The results showed that after teaching and learning process was carried out with the LMS Schoology application media there is a significant and positive influence on the use of LMS Schoology to increase the learning outcomes of English Teacher Training participants and the amount of the influence of the LMS Schoology usage variable on the increase participant learning outcomes is 77.4%. That is, the effect of LMS Schoology on the learning outcomes of training participants is 77.4%.&#x0D; &#x0D; Keywords: E-learning, LMS Schoology, learning outcomes
Research Methods in the Field of Computer Visualization Based on Virtual Reality

The paper examines research methods in the field of computer visualization based on virtual reality. Virtual reality environments were initially used for training simulation, but as far back as in the late 1980s scientific visualization systems based on virtual reality occurred. Those were the pilot versions of virtual test stands that were used in developing reusable space shuttles. Currently, virtual reality environments have been actively used in scientific visualization and software visualization systems. Developing such systems involves not only the issues of software implementation, modelling or adequate equipment choice, but also the tasks connected with cognitive processes occurring in both users and developers of visualization systems. Featured is a brief review of papers dealing with research in human interaction with virtual reality. The scope of tasks in developing visualization systems based on virtual reality is determined. The conclusion discusses several research issues, the solutions to which will increase the efficiency of interaction of users with virtual environments.
VIRTUAL ACOUSTIC RECONSTRUCTION OF THE GREAT HALL OF THE TYUMEN PHILHARMONIC ARCHITECTURE BASED ON ACTIVE FIELD CONTROL

The paper focuses on changes in the acoustic parameters of multi-purpose audience space for symphonic music without bot architectural and complete reconstruction. Old analog and modern systems with digital signal processing are analyzed using active field control (AFC). The AFC3 system from Yamaha, Moscow, Russia, installed in the Great Hall of the Tyumen Philharmonic is considered. The diagrams of early reflections are obtained by computer acoustical simulation of the Great Hall. The control measurement results confirm the effectiveness of the proposed solutions. The intrinsic reverberation time is 1.1 s. The AFC3 system provides the increase in the reverberation time up to 2.65 s. For the first time in Russia, the electronic shell is constructed for the fly-loft stage in the Tyumen Philharmonic, that allows improving the acoustical conditions for musicians.
THE KNOWLEDGE ECONOMY AND THE REGULATORY GUILLOTINE

Last summer's parliamentary hearings “On measures to improve the quality of education in the Russian Federation” largely addressed the issues of reducing accountability and bureaucratic burden, reducing excessive control over the activities of teachers and heads of educational organizations. This resulted in an active discussion in the expert community of amendments to the draft Federal law on amendments to the relevant articles of the Federal law “On education in the Russian Federation”, as well as a discussion that is currently unfolding about the current problems of bureaucratization in the field of education and science, which this article is dedicated to.