Reviewerly/exHarmony huggingface dataset:
MEDIA PEMBELAJARAN KOMIK SEBAGAI SARANA LITERASI INFORMASI DALAM PENDIDIKAN MITIGASI BENCANA DI SEKOLAH DASAR

Disaster mitigation is a response to disasters. Disaster response is the need to be studied, respond to and carry out activities or activities before a disaster occurs, a disaster occurs and after a disaster occurs. To achieve the disaster mitigation capabilities of students, information literacy capabilities regarding disaster mitigation are needed. Information on disaster mitigation literacy can be done through learning. Learning Media about mitigation can be carried out in an attractive, effective and efficient manner. One interesting learning media for students at the elementary school level is comic learning media. Development of comic learning media about learning planning mitigation specifically designed for learning outcomes that are compiled and developed in order to support students for disaster response.
Assessing orbital vs. volcanic control on carbon cycle during the Early Cretaceous

&amp;lt;p&amp;gt;The interval from the Valanginian to the Barremian stages (137&amp;amp;#8211;121 Ma; Early Cretaceous) is punctuated by several episodes of environmental changes, accompanied by shifts in weathering intensity on the continents and changes in the Tethyan neritic carbonate production. We synthetize here the astrochronology of two recent studies performed in the Neuqu&amp;amp;#233;n basin, Vocontian Basin and Subbetic Domain (Aguirre-Urreta et al., 2019; Martinez et al., 2020), anchored to CA-ID-TIMS U-Pb ages, which conclusions have been included in the Geologic Time Scale 2020 (Gale et al, in press). We applied this time scale to a compilation of carbon-isotope ratio from belemnites and proxies of detrital supply in the Tethyan area (Vocontian Basin and Subbetic Domain). From this compilation, we show that the episodes of environmental changes are paced by a 2.4-Myr cycle and, with a lower amplitude, a 1.2-Myr cycle. In addition, the new time scale shows the synchronicity between the Weissert Event and the Parana-Etendeka Large Igneous Province. In the series of carbon-isotope ratios measured on belemnite rostra, the amplitude of the 2.4-Myr cycle is twice higher during the Valanginian than in the Late Barremian and three times higher than in the Hauterivian and Early Barremian, suggesting that the activity of the Parana-Etendeka Large Igneous Province amplified the initial orbital forcing to trigger the environmental changes observed during the Mid-Valanginian.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Reference:&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Aguirre-Urreta, B., Martinez, M., Schmitz, M., Lescano, M., Omarini, J., Tunik, M., Kuhnert, H., Concheyro, A., Rawson, P.F., Ramos, V.A., Reboulet, S., Noclin, N., Frederichs, T., Nickl, A.-L., P&amp;amp;#228;like, H., 2019. Interhemispheric radio-astrochronological calibration of the time scales from the Andean and the Tethyan areas in the Valanginian&amp;amp;#8211;Hauterivian (Early Cretaceous). Gondwana Research 70, 104-132. https://doi.org/10.1016/j.gr.2019.01.006.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Gale, A.S., Mutterlose, J., Batenburg, S., in press. Chapter 27: The Cretaceous Period, in: Gradstein, F.M., Ogg, J.G., Schmitz, M.D., Ogg, G.M. (Eds.) Geologic Time Scale 2020. Elsevier BV, Amsterdam, The Netherlands, pp. 1023&amp;amp;#8211;1086.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Martinez, M., Aguado, R., Company, M., Sandoval, J., O&amp;amp;#8217;Dogherty, L., 2020. Integrated astrochronology of the Barremian Stage (Early Cretaceous) and its biostratigraphic subdivisions. Global and Planetary Change 195, 103368. https://doi.org/10.1016/j.gloplacha.2020.103368.&amp;lt;/p&amp;gt;
Teaching Master Students to Read and Interpret English Academic Journal Articles

The article deals with the analysis of a strategy that promotes non-English speaking Master studentsâ€™ ability to read and interpret authentic English-language academic research articles. The authors have got a hypothesis that the effectiveness of teaching can be promoted if Master students read an academic article in its three versions â€“ the first fully adapted version, the second partly adapted version and finally the same authentic scientific paper in full. Both qualitative and quantitative research methods are used. The theoretical part of the research involved the analysis of modern methodological, psychological and linguistic studies. The experimental part of the research consisted of two stages â€“ ascertaining and formative. In order to conduct a formative experiment, all Master students of the same sample were split into 2 groups. Students who had demonstrated a higher level of receptive skills in the process of ascertaining experiment, became participants of the control group (CG), and students who had shown a lower level of the same skills â€“ participants of the experimental group (EG). The ascertaining stage of the experiment has shown that most of the participants (nearly 75%) have significant difficulties in reading, understanding and interpreting academic journal articles. The hypothesis has been experimentally checked. The results for control and experimental groups, taking part in the formative experiment, prove that the introduced method has significant advantages in both learning scientific vocabulary, understanding authentic non-adapted research paper in English, oral retelling and scientific article interpreting.
Smart Library: Identifying Books on Library

Finding Books in the Library with a variety of collections is really a tough job for the readers. Lately, positioning technologies such as RFID or Wi-Fi is implemented in some libraries to help the readers to save their time. Certainly, it is difficult for most libraries to afford human resources and budgets for perfect maintenance of the system. The proposed system uses Template Matching algorithm. It is based on Image processing that scans image of the book and identify the location of that particular book. Initially a snippet will be attached for every book in the library and also stored in library database. when user requires a book, he/she will first enter the name or author of that particular book. The library software will find the corresponding snippet of that book and search the required book among the books through library cameras. The process involved in searching of snippet in the library cameras is detailed below. The experimental result for four books is shown and therefore the accuracy obtained is 97.8%.
Media Freedom Rapid Response partners call for protection of all journalists and media workers when covering demonstrations and protests across Europe

Media Freedom Rapid Response (MFRR) partners are concerned about the increased violence against media professionals at protests and demonstrations across ...
Novel technology for acquiring wheel motion attitude information based on WEIS

As the wheel speed sensing methods of anti-lock braking system (ABS) in traditional wheel motion attitude MAP monitoring are mostly limited to measuring the two parameters of wheel angular velocity and angular acceleration, and there are reports that the tire condition test technology by installing three acceleration sensors at specific test points inside the tire to obtain tire condition information cannot further obtain wheel attitude angle, speed, rotation parameter information, etc., this paper proposes a novel technology for acquiring wheel motion attitude information based on WEIS, which calculates and obtains all the MAP information of the wheel by placing an intelligent three-dimensional acceleration sensor unit on the wheel hub and using the wheel MAP monitoring model. The experimental results indicate that the average error of wheel camber angle γi under experimental conditions is 0.0734°, the average error of wheel tangential velocity νsTi is 0.1480m/s, the average error of wheel angular velocity ωi is 0. 5420rad/s and its relative error is 2.25%. This new technology can measure 11 of the 27 condition monitoring parameters for the safe operation of motor vehicles, and the performance indicators have reached better measurement accuracy and achieved the expected effects.
YouTube Video Recommendation Based Multi-lingual Feedback

Today YouTube is the first one application when the people need to learn something this is due to the robust service of the YouTube. Every second 500Hours video uploaded on the YouTube. On the one side this huge data is so big edge for YouTube but on the other side this is the big challenge for YouTube to provide efficient and effective search results for each user. People when search on the YouTube they are facing the difficulty to find the best video matched with their required content the only way to find the quality of the video is user feedback in term of comments but we also faced some problem too in comments most important are these two we focus  1.Huge comments 2.Multi-language comments for this problem our proposed method help the user to processes the all comments into the single English language and find the sentiment of the each video category and one the basis of the polarity score we find the best video tutorial and also compare the polarity results with and without our proposed method the results shows the method is effective and efficient.
Monitoring robust estimates for compositional data

In a number of recent articles Riani, Cerioli, Atkinson and others advocate the technique of monitoring robust estimates computed over a range of key parameter values (Cerioli et al., 2018; Riani et al., 2019). Through this approach the diagnostic tools of choice can be tuned in such a way that highly robust estimators which are as efficient as possible are obtained. This approach is applicable to different robust multivariate estimates like S- and MM-estimates, MVE and MCD as well as to the Forward Search in which monitoring is part of the robust method. Key tool for detection of multivariate outliers and for monitoring of robust estimates are the scaled Mahalanobis distances and statistics related to these distances. However, the results obtained with this tool in case of compositional data might be unrealistic since compositional data contain relative rather than absolute information and need to be transformed to the usual Euclidean geometry before the standard statistical tools can be applied. Several specific transformations have been introduced, but Filzmoser and Hron (2008) show that the transformation with the best properties with respect to robust estimates and keeping invariant the Mahalanobis distances is the ilr (isometric log-ratio) transformation. To illustrate the problem of monitoring compositional data and to demonstrate the usefulness of monitoring in this case we start with a simple example and then analyze a real life data set presenting the technological structure of manufactured exports which, as an indicator of their quality, is an important criterion for understanding the relative position of countries measured by their industrial competitiveness. The analysis is conducted with the R package fsdaR, which makes the analytical and graphical tools provided in the MATLAB FSDA library available for R users.
Assessment of a newly developed short-term forecasting system (nextSENSE) of Downwelling Surface Solar Irradiance (DSSI) and validation with ground-based measurements

&amp;lt;p&amp;gt;Monitoring and forecasting cloud coverage is crucial for nowcasting and forecasting of solar irradiance reaching the earth surface, and it&amp;amp;#8217;s a powerful tool for solar energy exploitation systems.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this study, we focused on the assessment of a newly developed short-term (up to 3h) forecasting system of Downwelling Surface Solar Irradiation (DSSI) in a large spatial scale (Europe and North Africa). This system forecasts the future cloud position by calculating Cloud Motion Vectors (CMV) using Cloud Optical Thickness (COT) data derived from multispectral images from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellite and an optical flow motion estimation technique from the computer vision community. Using as input consecutive COT images, CMVs are calculated and cloud propagation is performed by applying them to the latest COT image. Using the predicted COT images, forecasted DSSI is calculated using Fast Radiative Transfer Models (FRTM) in high spatial (5 km over nadir) and temporal resolution (15 min time intervals intervals).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A first evaluation of predicted COT has been conducted, by comparing the predicted cloud parameter of COT with real observed values derived by the MSG/SEVIRI. Here, the DSSI is validated against ground-based measurements from three Baseline Surface Radiation Network (BSRN) stations, for the year 2017. Also, a sensitivity analysis of the effect on DSSI for different cloud and aerosol conditions is performed, to ensure reliability under different sky and climatological conditions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The DSSI short-term forecasting system proposed, complements the existing short-term forecasting techniques and it is suitable for operational deployment of solar energy related systems&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Acknowledgements&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This study was funded by the EuroGEO e-shape (grant agreement No 820852).&amp;lt;/p&amp;gt;
UI-Based Flaky Tests Dataset

This artifact submission contains the dataset used in the paper accepted in the ICSE 2021 Technical Track, "An Empirical Analysis of UI-based Flaky Tests". The dataset contains 235 samples of flaky UI tests composed of 152 samples from web projects and 83 samples from mobile projects.
The Jokowi’s Ideology Reflected on the Annual Speech

This study aimed to find out the ideology of Jokowi as the seventh president of Indonesia. It followed Fairclough’s framework of critical discourse analysis and Searle’s speech act as analysis tool. The data source of the study involved two Joko Widodo’s speech in the Annual session of the people's Consultative Assembly. Moreover, the main data of the study are the utterances from Joko Widodo’s speech which contain an illocutionary act. The result of this study showed four types of illocutionary act employed by Joko Widodo; they were representatives, directives, commisives, expressives. The representatives were mostly reflected in the speech. This study found that Jokowi expressed his alignment toward the high state institutions.
Concept of a Mechanical Test Setup for Packaging Materials Using Digital Image Correlation Methods

This paper presents a concept for a mechanical testing apparatus for electronic packaging materials that benefits from the usage of digital image correlation (DIC) for strain measurement. In contrast to similar test setups, which use a CCD-microscope as an attachment to the mechanical test setup, the new concept tries to attach the mechanical test setup to a professional research microscope. The intention is to improve the projection of the object field to the CCD sensor array of the microscope-camera, and thus to improve the strain measurement of miniaturized samples. To be able to perform experiments at higher temperatures a suitable temperature-controlled test chamber was also designed. The paper shows the realization of the test setup and presents the first experiments with suitable specimen that will also be discussed.
A Comprehensive Review of Virtual Machine Migration Techniques in Cloud Computing

As cloud users grow exponentially, virtualization of the cloud data center (CDC) is accomplished by running simultaneous virtual machines (VM) on one cloud server in parallel processing. The growing demand for resources such as communication, storage, and computing can be successfully met by using dynamic virtual machine migration. For single or multiple VM migrations, most resource management techniques are used to maximize the performance and efficiency of the cloud data center. The Qos (service quality) declines proportionally with fast increase in cloud users and associated workload. The powerful live VM migration strategy can only be used to deliver better computing facilities, manage large numbers of cloud users and reduce time and energy on cloud data center. Modern cloud computing system depends primarily on live VM migration. This paper analyzes with their advantages and disadvantages all the latest live VM migration techniques. Their future range research and implementation has been briefly mentioned. Comparisons have been made between pre-copy and post-copy VM Migration techniques through simulation corresponding to CPU uses, memory and network as parameters.This paper reviews various virtual machine migration schemes while, through a comprehensive analysis of existing schemes, examining the critical aspects of virtual machine migration schemes.Existing systems are explored with key goals. In the VM migration domain, some open research issues are also mentioned.
RIEMANN AND DIOPHANTINE’S CONTRIBUTION IN THE FIELD OF NUMBER THEORY

There have been several fascinating applications of Number Theory in key cryptography. Key cryptography enables many technologies we take for granted, such as the ability to make secure online transactions. The purpose of this survey paper is to highlight certain important such applications. Prime numbers constitute an interesting and challenging area of research in number theory. Diophantine equations form the central part of number theory. An equation requiring integral solutions is called a Diophantine equation. In the first part of this paper, some major contribution in number theory using prime number theorem is discussed and some of the problems which still remains unsolved are covered. In the second part some of the theorems and functions are also discussed such as Diophantine Equation, Goldbach conjecture, Fermats Theorem, Riemann zeta function and his hypothesis that still remain unproved to this day . The Chinese hypothesis is a special case of Fermat’s little theorem. As proved later in the west, the Chinese hypothesis is only half right . From the data of this study we conclude that number theory is used in computer network and applications in cryptography. We came to know about the purpose of Diophantine equation , Square-free natural number, Zeta function, Fermat’s theorem and Chinese hypothesis which is a special case for Fermat’s theorem.
A Pilot Study to Infer CEFR Can-Do Statements Based on a Japanese Document Classification Method Including the Pre-A1 Level

The Common European Framework of Reference for Languages (CEFR), which is designed to assess foreign language proficiency, has attracted lot of attention with can-do statements (CDSs). However, only a limited number of CEFR studies for learners of the Japanese language have been conducted. Some of them focused on the classification of Japanese example sentences into the corresponding CEFR reading comprehension indices using three inference features: length, document type, and technicality. In this study, we add seven new CDSs to the Pre-A1 level published in the CEFR Companion Volume with New Descriptors in 2017 and perform experiments to classify the CDSs. In line with the incorporation of the new CDSs, we used a new feature called Kanji rate along with the three inference features as vital indexes for assessing Japanese reading comprehension. Experimental results are presented in the study. The purpose of this study is to help teachers on site use CEFR to evaluate the Japanese language proficiency of learners. Our ultimate goal is to create a Japanese CEFR-compliant text corpus.
SeisBench: A toolbox for benchmarking and applying machine learning in seismology.

&amp;lt;p&amp;gt;Machine learning methods have seen widespread adoption within the seismological community in recent years due to their ability to effectively process large amounts of data, while equalling or surpassing the performance of human analysts or classic algorithms. In the wider machine learning world, for example in imaging applications, the open availability of extensive high-quality datasets for training, validation, and the benchmarking of competing algorithms is seen as a vital ingredient to the rapid progress observed throughout the last decade. Within seismology, vast catalogues of labelled data are readily available, but collecting the waveform data for millions of records and assessing the quality of training examples is a time-consuming, tedious process. The natural variability in source processes and seismic wave propagation also presents a critical problem during training. The performance of models trained on different regions, distance and magnitude ranges are not easily comparable. The inability to easily compare and contrast state-of-the-art machine learning-based detection techniques on varying seismic data sets is currently a barrier to further progress within this emerging field. We present SeisBench, an extensible open-source framework for training, benchmarking, and applying machine learning algorithms. SeisBench provides access to various benchmark data sets and models from literature, along with pre-trained model weights, through a unified API. Built to be extensible, and modular, SeisBench allows for the simple addition of new models and data sets, which can be easily interchanged with existing pre-trained models and benchmark data. Standardising the access of varying quality data, and metadata simplifies comparison workflows, enabling the development of more robust machine learning algorithms. We initially focus on phase detection, identification and picking, but the framework is designed to be extended for other purposes, for example direct estimation of event parameters. Users will be able to contribute their own benchmarks and (trained) models. In the future, it will thus be much easier to compare both the performance of new algorithms against published machine learning models/architectures and to check the performance of established algorithms against new data sets. We hope that the ease of validation and inter-model comparison enabled by SeisBench will serve as a catalyst for the development of the next generation of machine learning techniques within the seismological community. The SeisBench source code will be published with an open license and explicitly encourages community involvement.&amp;lt;/p&amp;gt;
Prevention of Sports Injury in Sports Training Based on Comprehensive Environment Test

Sports injury is a new pronoun in sports discipline, which refers to the injury in the process of sports. The quality of sports environment has a direct impact on the incidence of sports injury. With the help of environment image detection and analysis technology, this paper analyzes the influence of sports environment factors in sports injury. Research results: the incidence of sports injury can be increased by four reasons: heavy exercise load, rough exercise or violation of rules, defects of equipment and bad weather. This paper makes statistics and investigation on the physical injury of people who have been engaged in sports for a long time on the cement field. The results show that about 26.6% of the athletes have different degrees of sports injury. The total injury rate of sports facilities was 82.9%. The most frequent injury sites were waist, knee, wrist, shoulder, back and metacarpophalangeal. According to the types of injuries, the top three were muscle strain, lateral knee pain and soft tissue contusion. No matter the site or the type of injury, there are obvious gender and item characteristics. That is to say, the number of male and short distance athletes is significantly more than that of female and long distance athletes. The results of this study have a certain reference value for the research of sports injury prevention in sports training based on the comprehensive environment test.