Reviewerly/exHarmony huggingface dataset:
English Pronunciation Self-Efficacy Sources and Pronunciation Proficiency of Chinese College Learners

The purpose of this study is to investigate the relationship between the four sources of English pronunciation self-efficacy and English pronunciation proficiency of Chinese college learners of English. A sample of 429 English majors at a college in China was selected. The test scores from a read-aloud task were used as the measure of subjects’ English pronunciation proficiency. The questionnaire was used to collect the data of four English pronunciation self-efficacy sources. The Pearson correlations showed that the four sources were correlated significantly with English pronunciation proficiency. The multiple regression analysis showed that 45% variance in English pronunciation proficiency was explained by the linear combinations of the four sources; however, the nominal variable of gender was not statistically significant in explaining the variance in English pronunciation proficiency. Overall, the significant relationship between English pronunciation self-efficacy sources and English pronunciation proficiency was observed in the present study. Pedagogical implications for teaching English pronunciation were discussed based on the results.
PENINGKATAN MINAT DAN HASIL BELAJAR PKN MATERI SEMANGAT KEBANGKITAN NASIONAL 1908 MELALUI METODE JIGSAW

This research aims to increase the interest and learning outcomes of PKN in the spirit of the 1908 national awakening through the jigsaw method for VII C grade students of SMP Negeri 1 Sukoharjo Semester 2 2018/2019 Academic Year. The research method uses Classroom Action Research conducted in two cycles each cycle consisting of two meetings, with four stages of research: planning, implementing, observing and reflecting. The subjects of this study were students of class VII C of SMP Negeri 1 Sukoharjo in semester 2 of the 2018/2019 school year. With a total of 31 students. Data collection techniques used were observation, interviews, tests, and documentation. Analysis of the data used in this study is a qualitative descriptive analysis. The results of this study are increasing the interest and learning outcomes of PKN material in the national awakening spirit of 1908. This is evidenced by the increase in student learning outcomes in the first cycle of students who managed to get KKM grades, increasing from 15 students or 48.39% to 20 students or 64.52 % or there was an increase of 16.13% compared to the initial conditions. While in the second cycle increased to 26 students who scored above the KKM or 83.87% or there was an increase of 19.35% from the previous. Based on the results of this study it can be concluded that the application of the jigsaw method can increase PKN interest and learning outcomes in the national awakening spirit of the 1908 class VII C students of SMP Negeri 1 Sukoharjo Semester 2 2018/2019 Academic Year.
KESALAHAN PENGGUNAAN KONJUNGSI DALAM MENULIS PROPOSAL KEGIATAN PADA SISWA KELAS XI SMA NEGERI 1 GEDONGTATAAN TAHUN PELAJARAN 2018/2019

The purpose of the study was to find out and describe the use of conjunctions in writing activity proposals. The problem examined in this study is the error of using conjunctions in writing activity proposals for class XI students of Gedongtataan 1 Public High School 2018/2019. Aspects of the conjunction errors that are studied include coordinative conjunction errors and subordinate conjunctions. The research method used in this study is qualitative descriptive. This research was conducted in the even semester of the 2018/2019 academic year. The subjects of this study were the XI graders in the even semester of Gedongtataan 1 Public High School 2018/2019 in 9 classes. The main subject is 2 classes or 24 students. The data collection technique used in this study is in the form of assignment techniques or written tests and the performance of writing an activity proposal in accordance with a predetermined theme. Data obtained, then analyzed descriptively qualitatively. The results showed that students' ability to use conjunctions was still not optimal. This is because students are still found a lot of using conjunctions that is not appropriate in choosing conjunction, there is a misplacement, excess conjunction, and conjunction removal. The dominant error is the use of coordinative conjunctions. The things that cause students to make mistakes are that students do not learn about conjunctions so there are still a lot of things that are not right, students do not know about using the right conjunctions, and the lack of evaluation by teachers about the use of conjunctions.
Designing of Restaurant Information System using Rapid Application Development

Indonesia is one of the largest culinary attractions in Southeast Asia. The culinary diversity in Indonesia encourages stakeholders to create restaurant businesses with effective and efficient business processes. One of the efforts to make the restaurant business process effective and efficient is to build a restaurant management information system. By using a system, business actors will be able to control and evaluate their business with appropriate reports. For this reason, the purpose of this study is to build a restaurant management information system using the RAD (Rapid Application Development) method, because building this application requires a systematic, structured, and object-oriented process. The RAD method emphasizes a high quality systems, fast development and delivery and low costs development process [1] so that this process requires a serious role from business actors to build a restaurant management information system. The results of this system design can make it easier for business actors to control the business process from the customer to the kitchen so that the food and beverage ordering process will be served quickly. The GUI restaurant management information system is made interactively so that customers and business actors can easily understand the system. The test results of this system use black-box testing, with the conclusion that the system is successful to run.
Pedagogical Features Of The Adaptation Program For International Students

One of the leading global trends in the development of higher education is internationalization, intensification of academic mobility of students and university professors.For Russia, the development of the export potential of higher education, the active attraction of international students is particularly important in modern conditions.The success of teaching international students at Russian universities largely depends on the nature of the adaptation process.The paper presents the experience of Armavir State Pedagogical University in developing an adaptation program for international students taking into account the multiculturalism of the South of Russia.International, national and regional contexts, types of adaptation of international students were considered based on the analysis of domestic and foreign experience.Special attention is paid to specific features of sociocultural, academic, socio-psychological, cross-cultural, psychophysiological and everyday adaptation of international students.The author considers the tasks and technologies of the adaptation program taking into account the specifics of each type of adaptation.The paper describes the pedagogical features of the adaptation program for international students.The predictability of the results is the possibility of using them to develop modular adaptation programs for students from foreign countries.The developed adaptation program for international students can be a factor in the development and strengthening the international cooperation between the university and new foreign partners.
How to calibrate a solar radiometer

&amp;lt;p&amp;gt;Solar radiometers are deployed in many locations on the ground and in space. The radiometers in space are measuring the solar energy input into the Earth system per time and unit area, also known as the Total Solar Irradiance (TSI). TSI radiometers are also used to calibrate Earth Observation instruments and to measure the Total Outgoing Radiation (TOR) at the top of the atmosphere, which is a key component in the Earth Radiation Budget (ERB). Ground-based solar radiometers measure the local irradiance levels, which are used for monitoring of atmospheric properties and solar energy applications.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Traceability of the radiation measurements to SI units is crucial in all of these applications. However, calibrating and characterising a solar radiometer is a technically challenging task. Depending on the requirements for a specific application, different calibration concepts &amp;lt;span&amp;gt;can be employed in the calibration and characterization process.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;We will present the currently available calibration concepts, their advantages and disadvantages, and put special focus on recent technical developments, such as the cryogenic standard radiometers for solar irradiance on the ground and in space. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
SiGMoiD: A superstatistical generative model for binary data

Abbstract In modern biological physics, there is a great interest in building generative probabilistic models for ensembles of covarying binary variables. A popular approach is to use the maximum entropy principle. Here, one builds generative models that use as constraints lower level statistics estimated from the data. While extremely popular, maximum entropy models have conceptual as well as practical issues; they rely on the modelers’ choice of constraints and are computationally expensive to infer when the number of variables is large (n > 100). Here, we address both these issues with Superstastistical Generative Model for binary Data (SiGMoiD). SiGMoiD is a maximum entropy based framework where we imagine that the data as arising from superstatistical system; individual binary variables are coupled to the same bath whose intensive variables fluctuate from sample to sample. Moreover, instead of choosing the constraints, in SiGMoiD we choose only the number of constraints and let the algorithm infer them from the data itself. Notably, we show that SiGMoiD is orders of magnitude faster than current maximum entropy-based models and allows us to model collections of very large number of binary variables. We also discuss future directions.
학습자 언어 연구 자료로서의 ‘한국어 학습자 말뭉치’ 활용 방안 모색

The purpose of this study is: (1) to analyze the literature on learner language which utilizes the ‘Korean Learners’ Corpus’, which was open to the public from 2017 by the National Institute of Korean Language through , (2) to find out what needs to be considered in future research. This can be said to be a timely study to reflect on the contributions of the ‘Korean Language Learner’s Corpus’ to the study of learners’ language at the present time when the construction of the corpus over six years from 2015 to 2020 has been completed.First, the characteristics of the data to be analyzed in the study were analyzed in general, and what studies were conducted by corpus type was examined in detail There are a total of 32 studies, including 15 journal articles and 17 dissertations. By year, there were 5 articles in 2017, 8 articles in 2018, 9 articles in 2019, and 10 articles in 2020. In order to examine the current status of the research, based on the nature of the analyzed data and the contents of the study, the studies were analyzed broadly according to the criteria of nationality/language, Korean level, learner type, data type, corpus type, analysis target, and analysis method. Next, we analyzed the contents of the study by corpus type. As a result of the research, it was found that in many studies, a corpus was selected and used according to the purpose and target, and it was confirmed that the ‘Korean Learner Corpus’ is contributing significantly to the field of learner language research.However, when processing or extracting each corpus data, there was a shortcoming, and the research data were biased toward Chinese/Chinese-speaking learners. In addition, many variables included in the corpus such as Longitudinal data or the genre of discourse were not actively used in research. This is a point to be supplemented in future research. In addition, it is necessary to supplement issues in terms of providing corpus data and showing search results so that more researchers can use the ‘Korean learner corpus’ to conduct language research for Korean learners.
Basic Understanding of Cloud Computing

Cloud computing is the acclaimed word in Information Technology's reality. It is turning out to be extremely well-known day by day. It is the fifth era of the web. Cloud computing causes IT business to change intensity of computing in a smart, effective, elite approach to request with their business arrangement. In this paper we investigate and feature the idea of the cloud computing their features and even the advantages and disadvantages too. This paper will help in better comprehension of cloud computing and clarify how it functions. It also discusses the different application that use in computing model by real-world examples.
PERFORMANCE ANALYSIS OF THE SUPERCOMPUTER BASED ON RASPBERRY PI NODES

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.
Encryption-based Image Steganography Technique for Secure Medical Image Transmission During the COVID-19 Pandemic

COVID-19 poses a major risk to global health, highlighting the importance of faster and proper diagnosis. To handle the rise in the number of patients and eliminate redundant tests, healthcare information exchange and medical data are transmitted between healthcare centres. Medical data sharing helps speed up patient treatment;consequently, exchanging healthcare data is the requirement of the present era. Since healthcare professionals share data through the internet, security remains a critical challenge, which needs to be addressed. During the COVID-19 pandemic, computed tomography (CT) and X-ray images play a vital part in the diagnosis process, constituting information that needs to be shared among hospitals. Encryption and image steganography techniques can be employed to achieve secure data transmission of COVID-19 images. This study presents a new encryption with the image steganography model for secure data transmission (EIS-SDT) for COVID19 diagnosis. The EIS-SDT model uses a multilevel discrete wavelet transform for image decomposition and Manta Ray Foraging Optimization algorithm for optimal pixel selection. The EIS-SDT method uses a double logistic chaotic map (DLCM) is employed for secret image encryption. The application of the DLCM-based encryption procedure provides an additional level of security to the image steganography technique. An extensive simulation results analysis ensures the effective performance of the EIS-SDT model and the results are investigated under several evaluation parameters. The outcome indicates that the EISSDT model has outperformed the existing methods considerably.
Data Analytics Applied to Predictive Maintenance

This paper describes in a simple way the development of a web application for predictive maintenance of equipment implemented in the electronics laboratory of the Universidad Pedagogica y Tecnologica de Colombia Sogamoso. This application was developed in Python language to achieve the manipulation and processing of large amounts of data. We developed a machine learning algorithm to predict damages in the laboratory equipment and enable the stakeholder to schedule maintenance to these equipments to prevent them from getting damaged. We implemented and compared the results obtained for two models (Random Forest and MLPRegressor Neural Network), being Random Forest the most accurate model.
INTERNATIONAL SYSTEM OF KNOWLEDGE EXCHANGE FOR YOUNG SCIENTISTS

The paper proposes a system which is electronic data storage (of qualification works of students from different countries) and provides the capability to identify and connect young scientists conducting research on a related problem area. The purpose of developing this system is to provide opportunities for knowledge exchange, research in a team on a common problem, as well as to identify scientific trends in different countries. In this paper, the preprocessing methods influence on the work of classifiers such as Logistic Regression, LSTM, BERT, LightGBM was researched. A study was conducted on the speed of classification and F1 assessment. Conclusions. Lemmatization showed to require a shorter operating time compared to steaming by almost twice and a better score by an average of 5 percent, so it was decided to use the Logistic Regression classifier with lemmatization at the stage of text preparation in the subsequent operation of the proposed ISKE.
The volcanogenic perspective on the world-class Chapada Cu-Au deposit in Central Brazil revisited

The Chapada deposit, located in the Neoproterozoic intraoceanic Mara Rosa Magmatic Arc, is a low-grade, world-class metallic concentration with a minimum endowment of 3.78 Mt Cu plus 7.76 Moz Au. Ore consists of pyrite-chalcopyrite disseminated mainly in early Neoproterozoic biotite-rich schist pertaining to a mafic-dominated volcanic-sedimentary sequence intruded by 884 to 865 Ma-old gneissic diorite-tonalite. The deposit was metamorphosed and isoclinally folded in a fold-and-thrust system under upper amphibolite facies conditions at 760-730 Ma, and underwent further metamorphism and deformation under greenschist facies conditions at 630-600 Ma, leading to difficulties to unravel its nature. Pre-metamorphic hydrothermal alteration includes an ore-bearing potassic biotitic core with haloes of phyllic (muscovite-pyrite-rich), argillic (quartz-muscovite-kyanite-bearing), advanced argillic (quartz-kyanite-rich), and propylitic (amphibole-epidote-bearing) alteration. Based on these features –– along with the identification of A- and D-type veinlets, and sulfur isotope results close to zero per mil - Chapada has been considered a porphyry-type deposit. This conception, from 1986, has gained general acceptance, whereas another early proposition, from 1989, of a volcanogenic nature for Chapada, has been practically dismissed. Nonetheless, the geologic setting of Chapada is permissive for volcanogenic deposits. Considering this, the volcanogenic perspective on Chapada is re-evaluated here.  The exercise has been carried out by scrutinizing essential attributes of volcanogenic deposits searching for features comparable to those of Chapada. The outcome is that the evidence leading to the acceptance of the porphyry model for Chapada applies equally to support a volcanogenic interpretation. This situation probably reflects a shallow-crustal, sub-volcanic environment, where both deposit types share attributes as, e.g., epithermal-style high-sulfidation alteration. The picture obtained allows for the working hypothesis that a volcanogenic relationship exists between epidote-rich amphibolite source rocks in the west, and quartzitic cap rocks in the east, of Chapada to produce disseminated ore, with accompanying K-Al-Si-propylitic alterations and a magnesian zone made up by early-recognized gedrite-staurolite rocks. The situation envisaged is that ore deposition occurred in sub-seafloor conditions from a poorly focused hydrothermal upflow discharge of fluids from a convective system with magmatic contribution. The volcanogenic model for Chapada is reinforced by the recent discovery of active submarine volcanogenic Cu-Au systems with high-sulfidation silica-aluminous alteration, by the incidence of equally high-aluminous alteration in the 40 km-distant VMS-affiliated Zacarias Au-Ag-Ba deposit, and by the localization of the deposit in a regional zone of alteration, with a suggested exhalative contribution, that seems to fit the concept of favorable, or equivalent, ore horizon.
Students’ Perception in the Implementation of the IMRaD Structure Approach and Its Implications on the Research Writing Process

The primary objective of this study is to examine the perceptions of the students regarding the implementation of the IMRaD (Introduction, Methodology, Results, and Discussion) structure approach and its implications on the research writing process. This study used the sequential mixed method design in examining the implementation of the IMRaD format and its implications among Grade 12 senior high school students of the Humanities and Social Sciences strand, conducted at Espiritu Santo Parochial School of Manila, Inc. school year 2019-2020. The developed instrument was reliable using Cronbach’s alpha at .926. The data were analyzed by applying descriptive and inferential statistics such as the frequency, weighted mean, average, standard deviation, and independent-sample t-test. The results showed that the students strongly agree in which the approach helped them in terms of the teaching and learning approach, learning tasks, research format writing process, and course outcomes, and interpreted the approach as very effective. The result also showed that there is a significant difference in the grades of students in research courses during the implementation of the IMRaD structure approach. There are implications in terms of the advantages and disadvantages ranging from learning approach, learning process and tasks, content and format, and course outcomes. In general, the IMRaD structure approach will help the students to the vast nature of the research writing process as it is more convenient than the traditional Germanic format research writing method.
Multiplicative angular margin loss for text-based person search.

Text-based person search aims at retrieving the most relevant pedestrian images from database in response to a query in form of natural language description. Existing algorithms mainly focus on embedding textual and visual features into a common semantic space so that the similarity score of features from different modalities can be computed directly. Softmax loss is widely adopted to classify textual and visual features into a correct category in the joint embedding space. However, softmax loss can only help classify features but not increase the intra-class compactness and inter-class discrepancy. To this end, we propose multiplicative angular margin (MAM) loss to learn angularly discriminative features for each identity. The multiplicative angular margin loss penalizes the angle between feature vector and its corresponding classifier vector to learn more discriminative feature. Moreover, to focus more on informative image-text pair, we propose pairwise similarity weighting (PSW) loss to assign higher weight to informative pairs. Extensive experimental evaluations have been conducted on the CUHK-PEDES dataset over our proposed losses. The results show the superiority of our proposed method. Code is available at https://github.com/pengzhanguestc/MAM_loss.