Reviewerly/exHarmony huggingface dataset:
Hubungan Penguasaan Kalimat Efektif dan Persepsi Siswa Terhadap Cara Mengajar Guru dengan Kemampuan Mengembangkan Paragraf bagi Siswa SDN Towara Sulawesi Tengah

This study aims to determine the correlation between effective sentence mastery and students' perceptions of teacher teaching methods and the ability to develop paragraphs in class V SDN Towara students. This research method uses a survey method through a correlational study. The research sample was taken by proportional random sampling technique with a total of 80 students from a total population of 120 students. The research instrument used tests and questionnaires. While the data analysis technique of this study uses simple correlation techniques and multiple correlation. The results of this study indicate that effective sentence mastery and student perceptions of the way teachers teach individually or collectively have a positive relationship with the ability to develop paragraphs. If we look at the value of the independent variable's contribution to the dependent variable, it is known that effective sentence mastery gives a greater contribution or contribution than students' perceptions of the way teachers teach.
RETREAT - a REal-time TREmor Analysis Tool

&amp;lt;p&amp;gt;The EUROVOLC project aims to promote an integrated and harmonised European volcanological community, and one of its main themes focuses on understanding sub-surface processes. Early identification of magma moving towards the surface is very important for the mitigation of risks from volcanic hazards, and joint research activities within the project aim to develop and improve volcano pre-eruptive detection schemes. Volcanic tremor is a sustained seismic signal associated with eruptions and is often linked to movement of magmatic fluids in the subsurface. However, it can occur pre-, syn- and post-eruption, and signals with similar spectral content can also be generated by several other processes (e.g. flooding, rockfalls). Hence one of the best ways of distinguishing between the processes underlying tremor generation is through tracking the evolution of its spatial location. Due to its continuous nature tremor cannot be located using classical seismological methods and so its source must be determined using alternatives such as seismic array analysis.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This work presents RETREAT, a REal-time TREmor Analysis Tool developed under EUROVOLC, that uses seismic array data and array processing techniques to detect, quantify and locate volcanic tremor signals. It is an open-source python-based tool that utilizes existing routines from the open-source &amp;lt;em&amp;gt;obspy&amp;lt;/em&amp;gt; framework to carry out analysis of seismic array data in real-time. The tool performs f-k (frequency-wavenumber) analysis using beamforming to calculate the back azimuth and slowness in overlapping time windows, which can be used to detect and track the location of volcanic tremor sources.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A graphical and web-based interface has been developed which allows adjustment of highly configurable input parameters. These include options for setting the data source, pre-processing, timing and update options as well as the parameters for the seismic array analysis which must be carefully selected and tuned for the specified array. Once configured the tool fetches waveform data in real time and updates its output accordingly, returning plots of the array processing results (slowness and back azimuth values) as well as plots of the seismic waveform, envelope and spectrogram. The tool has been tested on real-time data using the &amp;lt;em&amp;gt;obspy&amp;lt;/em&amp;gt; FDSN (International Federation of Digital Seismograph Networks) client to fetch data from the IRIS datacenter, using example array data from the small aperture SPITS seismic array in Spitsbergen, Svalbard. A 'replay&amp;amp;#8217; mode using existing archive (non real-time) data has also been implemented and tested on array data from the 2014 eruption at Holuhraun and Bardarbunga volcano in Iceland, collected as part of the FUTUREVOLC project. The RETREAT tool is now ready for testing and implementation in a volcano monitoring setting at observatories. It will also be made freely available to download as a EUROVOLC community tool.&amp;lt;/p&amp;gt;
Asymmetric Cryptosystem Using Structured Phase Masks in Discrete Cosine and Fractional Fourier Transforms

For enhancement of the security, an asymmetric cryptosystem scheme is proposed for double image encryption based on a structured phase mask (SPM) in discrete cosine transform and fractional Fourier transform. The usage of SPM helps in increasing key spaces. Different keys are used at the time of encoding and decoding of an image in asymmetric cryptosystem which makes the system much more secure. The performance of the technique is carried out with the help of MATLAB R2018a (9.4.0.813654). This scheme is tested for two images and its validity is verified. The results are shown by the help of mean-squared-error (MSE), peak signal-to-noise ratio (PSNR) and relative error (RE). The reliability of the proposed system for noise attacks with references to sensitivity analysis is also confirmed. Evaluation of the statistical outcomes certifies that the suggested procedure is relevant and feasible. The procedure brings augmented security, and the experimental outcomes illustrate the supremacy of the recommended cryptosystem.
Chi Yuchao. Professor V.V. Engelfeld: “He Loved his Job Very Much and Could not Imagine Life without Teaching at University”

This article is devoted to the professor of law Vladimir Viktorovich Engelfeld (1891–1937), a connoisseur of Chinese law, and the author of many works on this subject. While still in Vladivostok, he became interested in a completely unexplored topic — the formation of China’s state law (1921). He subsequently prepared a master's thesis that were defended in Paris. He taught at the State Far Eastern University, and later he was a professor and dean of the Faculty of Law in Harbin. This year (2020) marks the centenary of the opening of the first Russian institution of higher education in China — the Faculty of Law in Harbin. His graduates made a great contribution to Sinology and the formation of Russian-Chinese relations in the first half of the 20th century. This article was written using materials from archives and libraries of the USA and China.
Skewness Ranking Optimization for Personalized Recommendation

In this paper, we propose a novel optimization criterion that leverages features of the skew normal distribution to better model the problem of personalized recommendation. Specifically, the developed criterion borrows the concept and the flexibility of the skew normal distribution, based on which three hyperparameters are attached to the optimization criterion. Furthermore, from a theoretical point of view, we not only establish the relation between the maximization of the proposed criterion and the shape parameter in the skew normal distribution, but also provide the analogies and asymptotic analysis of the proposed criterion to maximization of the area under the ROC curve. Experimental results conducted on a range of large-scale real-world datasets show that our model significantly outperforms the state of the art and yields consistently best performance on all tested datasets.
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation

Monitoring vehicle flows in cities is crucial to improve the urban environment and quality of life of citizens. Images are the best sensing modality to perceive and assess the flow of vehicles in large areas. Current technologies for vehicle counting in images hinge on large quantities of annotated data, preventing their scalability to city-scale as new cameras are added to the system. This is a recurrent problem when dealing with physical systems and a key research area in Machine Learning and AI. We propose and discuss a new methodology to design image-based vehicle density estimators with few labeled data via multiple camera domain adaptations.
An Implementation and Evaluation of a Pairing on Elliptic Curves with Embedding Degree 14

As the computer architecture technology evolves, communication protocols have been demanded not only having reliable security but also flexible functionality. Advanced cryptography has been expected as a new generation cryptography which suffices such the requirements. A pairing is one of the key technologies of the cryptography and the pairing has been known as having a substantial amount of construction parameters. Recently, the elliptic curve with embedding degree 14 is evaluated as one of the efficient curves for pairing. In the paper, we implement an optimal ate pairing on the elliptic curve by applying several variants of multiplication algorithms of extension field of degree 7 on multiple devices. The best multiplication algorithm among the candidates is derived. Besides, for efficient calculations, we propose a pseudo 7-sparse algorithm and a fast calculation method of final exponentiation. As a result, we discover the proper multiplication algorithm bases on the rate of addition and multiplications on several different computer platforms. Our proposed pseudo 7-sparse algorithm is approximately 1.54% faster than a regular algorithm on almost all tested platforms. Eventually, for the total execution time of pairing we record 9.33ms on Corei5-9500.
Importance of the didactic and sociological factors that influence the development of the phonetic elements of the oral expression in a foreign language

The problem of study English as a foreign language or bilingual education has been handled in a superficial way. The experience gained during the teaching time has shown that the public schools´ students have low oral production and deficient pronunciation; meaning this that the correct development of this language is not achieved, in despite of the great help that ICT offers. The foregoing has led to conclude that the importance of the didactic factors in the phonetic elements of the oral expression is the general objective of this research. The methodological design research was conducted under the scientific investigation line, through the critical-social research, having as methodology type the descriptive-exploratory one, with the survey and direct observation as research techniques, considering as instruments, the questionnaire and the interview, based on closed questions investigated on the field; under a quantitative approach. According to the need, the scope is of qualitative type, because studies specific groups, converting it in a case of study. The proposal of this research is focuses on a Didactic Guide design with phonetic introductory methodology supported on the ICT, which improves the pronunciation, increases the students’ vocabulary and as a default will develop the oral expression. The implementation of this proposal will identify the quality didactic factors that influence the teaching-learning process. As a result, the right articulation of this research will develop in great benefit, achieving the academic excellence, based on standards and in line with the current globalized world, which means the mastering of the English language.
TEACHING WRITING NARRATIVE PARAGRAPH THROUGH STIMULI QUESTION TECHNIQUE TO THE TENTH GRADE STUDENTS OF STATE HIGH SCHOOL 1 OF PALEMBANG

The main problem of this research was “Is it effective to teach writing narrative through stimuli questions technique to the tenth-grade students of State High School 1 of Palembang?”. Therefore, the main objective of this research was to find out whether or not it was effective teaching writing narrative paragraphs through the stimuli question technique to the tenth-grade students of State High School 1 of Palembang. The method of this research was the experimental method. The population of this study was the tenth-grade students of State High School 1 of Palembang, in the academic year of 2016/2017. The sample of this study was 39 students who were chosen by convenience sampling. The data were collected through two kinds of tests, pre-test, and post-test. The data were analyzed by a matched t-test. Based on the results of the data analysis, it was found that the students’ average score in the pre-test was 59.1, and the students’ average score in the post-test was 68.6. Based on the matched t-test calculation, it was found out that the t-obtained was 8.84. the critical value of a 5% significance level was 1.684. it showed that t-obtained was higher than the t-table. From this study, it was found that teaching writing narrative paragraphs through stimuli questions technique to the tenth-grade students of State High School 1 of Palembang was effective.
Dissemination and Implementation of THK-ANEKA and SAW-Based Stake Model Evaluation Website

The purpose of this study was to provide information about the dissemination and implementation of the THK-ANEKA and SAW-based Stake model evaluation website at Vocational Schools of IT in Bali.THK is an acronym for Tri Hita Karana.ANEKA is an acronym for Akuntabilitas, Nasionalisme, Etika publik, Komitmen mutu, dan Anti korupsi (in Indonesian) or Accountability, Nationalism, Public ethics, Quality commitment, and Anti-corruption (in English).SAW is an acronym for Simple Additive Weighting.This study used a development approach with the Borg and Gall model which consists of 10 development stages.Research in 2020 was focused on the dissemination and implementation stages.The research location was at several Vocational Schools of IT in Bali Province.The subjects involved in assessing website implementation were 110 respondents.The tool used to assess was a questionnaire.The analysis technique was carried out by interpreting the effectiveness level of dissemination and implementation.It was a reference to the eleven scale effectiveness standard.The research results showed that the dissemination and implementation of the THK-ANEKA and SAW-based Stake model evaluation website at Vocational Schools of IT in Bali had gone well.It was able to be seen from the documentary evidence of the dissemination activities implementation.The percentage results of the website implementing effectiveness were 88.973% and the simulation results of implementing the SAW method which was already accurate.It showed the evaluation aspects that support the realization of positive morals and students' learning quality.
MODERNIZATION OF METHODOLOGY COMPONENT OF TEACHER’S PROFESSIONAL EDUCATION IN PEDAGOGICAL UNIVERSITY

The article considers the urgent issue of modernizing the methodological component of professional teacher’s training in Ukrainian higher educational institutions. It is topical as Ukrainian education faces the need for quality of higher education under the conditions of educational services market competition. The peculiarities of various teachers’ training and its methodological component are analysed and unified to create the grounds for modern educational process according to the criteria of European educational space. The aim of the article is define the common features of methodological future teachers’ training in the conditions of higher education modernization. The experience of teacher training in various subjects in Ukraine is studied and its best results are accumulated as the basis for the universal methodological profile for any teacher of any subject. The list includes the integration of theoretical and practical components of study programmes with the emphasis on practical approach; methodological component as a throughout part of the whole teacher training process; the integration of general and specified professional subjects (taking into consideration various factors of future teacher’s educational context; creating the conditions for future teachers’ competences development); development of teachers’ reflective skills, creativity and critical thinking. The research is conducted on the materials of baseline study held within the project “New Generation School Teacher” of British Council Ukraine and Ministry of Education and Science of Ukraine, experience of other methodology researchers and the experience of implementing the methodological innovations in Bohdan Khmelnytskyi Melitopol State Pedagogical University. The study opens the prospects for further modernization of the syllabi, curricula, logical structures of all future teachers’ professional education in Ukraine.
대학생의 정체성 위기와 자아정체성 탐색을 위한 글쓰기

On these days, Korean university students are facing an identity crisis due to changes in the industrial structure such as the Fourth Industrial...
Self-Supervised Joint Learning of Patterns and Matching for Structured Light Depth Estimation

We present a learned method for structured-light depth estimation, where the projected pattern is jointly optimized alongside the depth-matching network. An in-network Tenderer simulates pattern projection during training. Results are precise, achieving 1/30th-pixel plane RMSE.
AN INCREASE IN IPS LEARNING ACHIEVEMENT THROUGH THE DEMONSTRATION METHOD IN KELAS II SDN 2 NGANDONG GANTIWARNO KLATEN

The problem studied in this study is how to improve learning achievement on with the Demonstarsi method in class II students of SDN 2 Ngandong ,Gantiwarno, Klaten The discussion of the description of this research is how the teacher increases the students' ability to carry out demonstrations. The research method used was action research by determining the steps: planning, implementing, collecting data, and reflecting on each step using two cycles. The results of the study from the first cycle only 81.57% or 16 students who scored above the KKM while 18.43% or 5 students got grades below the KKM. Because it has not yet reached the KKM, the researchers proceed to cycle II. In cycle 2 there was a significant increase in which 89.47% of students had mastered the competencies that had been set. Out of the 21 students, 19 students have met the specified KKM. From the results of the implementation of the first cycle and second cycle, it can be concluded that using the demonstration method can improve the learning achievement of the theme "My family" grade II students at SDN 2 Ngandong, Gantiwarno, Klaten.
Genesis of the Cu Polymetallic Deposits in the Dabancheng Area, Eastern Tianshan: Constraints from Fluid Inclusion and In-Situ Sulfur Isotope

The Bogeda orogenic belt, located in the northern part of the eastern Tianshan Mountains, is a copper polymetallic deposit with important economic value. The Weicaogou and Miao’ ergou deposits both occur in Dabancheng area along the Bogeda Orogenic Belt; the proven resources include Cu and Zn. Fluid inclusion petrography and microthermometry suggest that the ore fluids of Weicaogou deposit are characterized as a medium- to high-temperature and medium to low–salinity H2O-NaCl hydrothermal fluids during the main mineralization stage (stage 2). The sulfur isotopic composition shows that the ore-forming materials of the Weicaogou deposit are mainly derived from magma and strata. Meanwhile, the ore-forming fluid of Miaoegou deposit is mainly H2O NaCl fluid with medium temperature and low salinity; The ore-forming materials mainly come from strata. Weicaogou, Miao’ ergou deposits both are vein-type deposits and form in the peripheral of porphyry system. There is a porphyry Cu polymetallic system genesis in Bogeda Orogenic Belt during Late Carboniferous.
Matched wavelets for equidistant points

Matched wavelets interpolating equidistant data are designed. These wavelets form Riesz bases. Meyer wavelets that interpolate data on a particular uniform lattice are found.
Superconducting Nanowire Single Photon Detector Rise-Time Analysis

We explore the limits of spatial, spectral, and photon-number resolution in superconducting nanowire single photon detectors by characterizing the rising edge of a readout pulse with a low-noise high-bandwidth readout circuit.
The Multimodal Tutor: Adaptive Feedback from Multimodal Experiences

This doctoral thesis describes the journey of ideation, prototyping and empirical testing of the Multimodal Tutor, a system designed for providing digital feedback that supports psychomotor skills acquisition using learning and multimodal data capturing. The feedback is given in real-time with machine-driven assessment of the learner's task execution. The predictions are tailored by supervised machine learning models trained with human annotated samples. The main contributions of this thesis are: a literature survey on multimodal data for learning, a conceptual model (the Multimodal Learning Analytics Model), a technological framework (the Multimodal Pipeline), a data annotation tool (the Visual Inspection Tool) and a case study in Cardiopulmonary Resuscitation training (CPR Tutor). The CPR Tutor generates real-time, adaptive feedback using kinematic and myographic data and neural networks.
Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens

Abstract C-arms are medical devices widely used for image-guided minimally invasive endovascular procedures. This technology requires considerable experience for the physicians to position the C-arm to obtain X-ray images of the endovascular tools. In addition, this image-guided therapy is based on two-dimensional images which lack depth information. The purpose of this study was to develop a system that controls the C-arm movements based on the previous position of the tip of a guide wire and the vessel information, and also displays the estimated tip position (specifically, the virtual line that would join the X-ray source and the projected tip in the flat-panel detector) on an augmented reality device (HoloLens). A phantom study was conducted to evaluate the system using intraoperative cone-beam computed tomography scans to obtain the reference tip position. The mean distance between the tip position (ground truth) and the virtual three-dimensional line was 1.18 mm. The proposed system was able to control the C-arm movements based on the position of the tip of the guide wire. The visualization on HoloLens also allowed a more intuitive understanding of the position of the endovascular tool related to the patient’s anatomy during the intervention.
PERBANDINGAN KEMAMPUAN ANAK USIA 3 TAHUN DALAM PENGUASAAN BAHASA BALI SEBAGAI SARANA KOMUNIKASI (KAJIAN PSIKOLINGUISTIK)

Humans interact with one another through communication in the form of language. Communication occurs, both verbally and nonverbally, namely by writing, reading, and signs or symbols. The language acquisition requires a process according to the stages of age. The purpose of this study was to determine the comparison of Balinese language development between two children aged 0-3 years, namely Juna and Bayu in terms of phonological development. This research used observation and interview methods to gather data from Juna and Bayu families in terms of how they arranged words and sentences correctly and the interaction with their families. The children's language development is influenced by environmental factors that apply motherese, recasting, echoing, expanding. Keywords: Comparison of children's language, Psycholinguistics
Istraživački podaci - što s njima? : priručnik o upravljanju istraživačkim podacima

The Research Data Alliance (RDA) is a global organization focused on developing the social and technical conditions for open data sharing and reuse, and fostering data-based innovation. As part of the RDA Europe 4.0 project, a national Croatian RDA node was established in Srce in 2019 (https://www.srce.unizg.hr/rda). In cooperation with the librarians from the University of Rijeka Library, the University of Split Library, the City and University Library Osijek, and the National and University Library in Zagreb, the handbook for researchers was prepared on how to handle research data for their efficient sharing and reuse.