Reviewerly/exHarmony huggingface dataset:
How to make instrument writing skill rubric?

Making rubrics needed on terminology of evaluation of Indonesian instructional, evaluation terminology which consists of tests, measurements, and assessments. To be able to make a measurable assessment in accordance with the skills to be achieved by the learner, it is necessary to have an assessment rubric. The purpose of making an assessment rubric is to make it easier for teachers to conduct assessments, while the purpose of this paper is to create an assessment rubric in measuring learners' language skills. The research method was carried out with descriptive qualitative methods using theoretical studies and rubric trials to several teachers who were involved. The result of this study are in the form of an assessment rubric that can be used by teachers in Indonesian subjects.Keywords: Evaluation; Rubric; Language Skills Rubric
“Student preference towards the utilization of Edmodo as a learning platform to develop responsible learning environments" study

Teachers can simply establish and administer online learning communities using Edmodo, and students may connect and collaborate with their peers and teachers whenever they want, from any location. A safe and cost-free educational learning network, Edmodo. To promote participation and responsible learning, this study sought to ascertain how much students preferred to utilize the academic social networking site Edmodo. The goal of this essay is to determine whether using Edmodo as a teaching tool is appropriate that more teachers should employ to support a student-centered, technologically-based learning environment where students participate and put their ideas about responsible learning into practice. The study was carried out in a private institution in Banjarharjo, Central Java. Only 320 of the 280 degree-seeking participants were actually used in the analysis. This study used a quantitative methodology,and a survey with research-designed questions was utilized to collectresponds on a Likert scale of 1 to 5, with 1 being strongly agree and 5 being strongly disagree. To encourage students' decision to utilize Edmodo for teaching and learning, the survey question was developed using the RASE (Resources, Activity, Promote, and Evaluation) method.. The study's findings demonstrate that using specific Edmodo features increases student engagement and promotes responsible learning. The analysis's conclusion confirms that the students prefer Edmodo mostly for its resources. assistance and communication tools including forums, chat rooms, and online activities are also available. Students love working on online classes because of Edmodo's great and user-friendly social learning platform. The findings of this study might prompt educators to reconsider how they run their classrooms.
Gold-silver mineralization in metagabbroids of the Bazhenov ophiolite massif (Middle Urals)

The relevance of the work is due to the need to study the conditions for the occurrence and distribution of precious metals in ophiolite massifs, which are often associated with gold placers. Purpose of work: Study of gold-silver mineralization from metagabbroids of the Bazhenov ophiolite massif (Middle Urals). Research methodology. The chemical composition of native gold and silver was obtained from polished thin sections of metagabbroids at the Institute of Geology and Geochemistry of the Ural Branch of the Russian Academy of Sciences (Еkaterinburg) on a CAMECA SX 100 electron probe microanalyzer with five wave spectrometers and using standard samples of reference minerals. Results. Native gold in metagabbroids composes poor and scattered dissemination. The metal forms isometric grains, no larger than 10 microns in size. According to microprobe analysis, native gold is quite fine and contains small impurities of silver (no more than 4 wt. %). Both gold and silver occur in sulfidized metagabbroids. Large ”gold pieces”, up to 50–60 microns in size, are noted in the aggregate of chalcopyrite and pyrite. According to microprobe profiling, they have a complex composition: gold passes into electrum, then into kustelite, and then into silver. Of the impurities, copper (up to 1.6 wt. %), iron (up to 1.1 wt. %) and mercury (up to 0.5 wt. %) are noted. Conclusions. In the metagabbroids of the Bazhenov massif, gold-silver mineralization was established in the form of native gold and silver, as well as their alloys – electrum and kustelite. The formation of gold and silver in metagabbroids is metamorphogenic in nature and no connection with acidic fluids has been established. Noble metals and their alloys crystallized at temperatures below 350°C, which corresponds to the bottom of the greenschist facies.
Platinum-metal mineralization of the Norilsk district: history and prospects of research

Relevance. Since the 19th century, the Norilsk Ore district has been one of the world leaders in the production of platinum metals. Long-term research focused on the detection of sulfide platinum-copper-nickel ores contributed to the accumulation of a large volume of scientific material on the geology and ore content of the Norilsk region. Due to the emergence of new methods for ores studying, it seems necessary to analyze previously published data and assess the prospects for the joint application of traditional and modern methods in solving the problem of understanding the ore formation process. The purpose of the work – to summarize information about the geology of the Norilsk ore region and the platinum-metal mineralization associated with it, to note the main scientific achievements and identify promising areas for further research. Results. Thanks to comprehensive production and research geological works, differentiated basite-ultrabasite intrusions and ore-containing Paleozoic-Mesozoic sedimentary volcanic rocks of the Norilsk region have been studied at the highest level. The geological structures of the region and its metallogeny are also studied in detail. However, there is still no unambiguous understanding of the geodynamics of the magmatic process and, accordingly, the mechanism of formation of ore-bearing intrusions. Conclusions. In the conditions of depletion of known deposits, the decoding of the genesis of ores of the Norilsk region becomes particularly relevant. The use of modern computer X-ray microtomography in addition to geochemical and petrological studies makes it possible to analyze the three-dimensional distribution of platinum and sulfide minerals, to identify textural and structural evidence of processes that were previously questioned. The results of these studies may lead to a reassessment of established models of ore genesis, as well as an increase in the efficiency of ore processing.
Application Of Word Square and Scramble Sentence Learning Model to Improve English Vocabulary for Elementary School Students

This study aims to examine the effectiveness of the application of the word square and scramble sentence learning models as an effort to increase English vocabulary for elementary school students. The method used is a qualitative method with a descriptive analysis approach. Data collection techniques using observation and interview methods. The subjects in this study were class IV students at SDN Sindangreret, totaling 17 people. The data analysis technique uses the Miles &amp; Huberman interactive model. The results of this study discuss 1) student' perspectives on learning English; 2) the stages of learning with the word square and scramble sentence models; and 3) student learning outcomes. The conclusions in this study are 1) the application of the word square and scamble sentence learning models can help students to find and know new vocabulary in English and can improve students' ability to compose vocabulary correctly; 2) the application of the word square and scramble sentence learning models is effective for use in learning activities in elementary schools.
High Resolution Fluid Based Prospect Imaging Using Elastic Cloud Computing Power

Summary The technical abstract is aimed at highlighting an innovative approach to reduce the sub-surface uncertainty for prospect imaging through a fluid simulation model based approach in integration with advanced geophysical properties to evaluate the preferred migration scenario coupled with the seal integrity analysis. This approach helps in mitigating the risk associated with seal and charge in addition to the trap and reservoir condition to augment the existing conventional approach for prospect evaluation. This modeling approach integrates the data from regional scale to the prospect scale through a seamless connection through scalability. But, in order to capture the original resolution of the model, the key challenge comes in terms of the slow and high computing power intensive Darcy migration model and limitation in hardware capability. In this abstract we have highlighted the cloud elasticity feature which helps in retaining the original resolution of the model without compromising the geological consistency. Additionally, the advanced Invasion Percolation migration model has been used to have the robust migration scenario in lesser time and investigate uncertainty analysis for more informed decision.
USING INTERACTIVE MEDIA OF SPOTIFY IN LISTENING COMPREHENSION FOR STUDENTS IN INTENSIVE ENGLISH COURSE OF LANGUAGE CENTER IN UNIVERSITAS MUHAMMADIYAH SURABAYA

Listening is one of the important activities in learning that can obtain information. Based on the phenomenon that students have difficulty in learning English, especially in listening skills because many students have difficulty in listening comprehension clearly. Moreover, they feel bored because of the teaching and learning process without using interactive media. The purpose of this research found out the implementation of the listening comprehension learning process in intensive English class of the Language Center by using the Spotify media as an interactive learning media and students' responses in using of the Spotify media. The researchers used three instruments in this research that were observation, questionnaire, and interview. Qualitative method was used by researchers to analyze descriptive data. The results showed that the students were interested when the lecturer used the Spotify media as part of the teaching and learning process. Furthermore, the students responded positively to the use of the Spotify media. The results of the analysis showed that the using of Spotify media by the lecturer in the learning process of listening to understanding is very pleasant and students are easier to understand English in listening skill. Since they can use the Spotify anywhere and anytime that was as the new experience in learning English for their daily activities
Camera Rotational Vibration Correction Method for Vision Based Displacement Measurement Using Drone

In this study, instead of using the accelerometer inside the drone to correct the rotational vibration of the drone in displacement measurement using a drone, we propose a method for correcting the rotational vibration of a drone using a fixed point where the displacement inside the drone image does not occur. As a preliminary study for correcting the rotational vibration of a drone using a fixed point in the image, an experiment to measure the rotation angle by rotating the target after fixing the camera and measuring the displacement of a model structure where displacement occurs through a rotating camera Through an experiment, the accuracy of displacement measurement was verified when rotational vibration of the camera occurred. When the displacement is less than 3mm, the measurement reliability is low when camera vibration occurs, whereas when the displacement exceeds 3mm, it was measured relatively accurately.
Perbedaan Kecurangan Akademis Siswa SMA ditinjau dari Jenis Kelamin dan Jurusan Sekolah

Academic cheating is one of the phenomena that occur in the world of education. Many factors can affect academic cheating including internal, external, and demographics. This study aims to determine differences in academic cheating in terms of demographic factor (gender and schools majors) in high school. Subjects of this study (N = 86) were second-grade students from one of the public high school in Surabaya. Data collection techniques using non-probability sampling. The research method uses comparative quantitative, namely the Mann-Whitney U Test on gender variables and the Kruskall-Wallis test on school majors variables.The results of the Mann-Whitney U Test analysis showed that the significant value was 0.238 and the Kruskal-Wallis test results showed a significant value of 0.229.These results have a significance value greater than 0.05 (p&gt; 0.05) which means there is no difference in academic cheating in terms of gender and school majors. Gender differences and school majors do not guarantee students not to commit academic cheating because the students has the same pressure to get high grades on subjects. This is also supported by the environment that implements the performance goal orientation.
Privacy-Preserving Blockchain-based User Authentication with Device Group Authorization for Mobile Edge Computing

The mobile edge computing has emerged as a promising architecture, which reduces computation delay and communication cost to optimize the quality of services for users. Biometric-based authentication is an important security technology to secure edge computing user services. However, in existing authentication studies, the user only binds biometrics with one authorized device. Authorizing multiple mobile terminals to users requires additional registration phases. The system security and reliability will inevitably be influenced. To address this issue, we propose privacy-preserving blockchain-based user authentication with device group authorization. Specifically, the blockchain technology is leveraged to authorize device group to users and support distributed edge computing environments. In addition, the combination of group signature and biometrics simultaneously authenticates the user and the holding authorized terminal. The security discussions show the security features and functionalities. We also implemented a prototype to perform experimental evaluation. The results prove the efficiency and practicality of our work.
APLIKASI NUTRINEEDS DALAM PENENTUAN KEBUTUHAN KALORI HARIAN BAGI PENDERITA DIABETES MELITUS

In this journal, an analysis of the NutriNeeds application is carried out. The Nutrineedsapplication is the result of a study that aims to determine daily calorie needs for people withdiabetes mellitus. The level of accuracy of the NutriNeeds application will be compared with theBroca method in determining the daily calorie requirements for people with diabetes mellitus.The NutriNeeds application is designed with the mamdani fuzzy inference system and androidstudio, which uses 7 inputs in the fuzzy inference system, namely gender, male BBI, femaleBBI, age, BMI, physical activity, stress factors, and produces an output, namely calories daily.The NutriNeeds application requires data input, namely gender, weight, height, age, andphysical activity, which will display daily calorie results and meal schedules. The data in thisstudy were 5 pieces of data on patients with diabetes mellitus. Based on the comparison of dailycalories generated by the NutriNeeds application by calculating daily calories using the Brocamethod, the results of the calculation of the percentage of accuracy obtained a MAPE value ofthe NutriNeeds application of 1.1% which is classified as very accurate.
Personal Career of Research Activities and Future Direction

In 1960, I started my research life on human movements at the Laboratory of Physical Education, Faculty of Education, University of Tokyo. The laboratory had been supervised by Professor M Ikai (1913-1971)
RANCANG BANGUN 3D PRINTER CORE XY MENGGUNAKAN RAMP 1.4 BERBASIS ATMEGA 2560

Additive,Layer,Manufacturing,or,better,known,as,3D,printers,is,.the,process,of,combining,materials,to build,objects,from,3D,model,data,with,layer,by,layer. In the development process, a newproduct prototype, 3D Printing, is a machine that plays a big role in the 2 and 3dimensional,creation,process,in,the,product,design,process.,The,quality,of,printouts,and,timeefficient,in,making,3D,modeling,produced,becomes,more,effective,and,optimal.,The,purpose,of,the,study,is,to,examine,the,effectiveness,of,the,3D.printer.system.design,work using a shieldtype XY Ramp Core 1.4 based atmega 2560 and know the quality of the 3D printer prints. Thisresearch is a type of design activity, the results of data analysis using the results of 3Dmodeling are processed using a 3D printer and have a value of size accuracy as evidenced bythe results of 3D measurements using calipers, It can be concluded that the 3D printer machinewith,the,XY,belt,core,system,uses,Atemega,2560,based Ramp 1.4 which is made suitable foruse in the 3D modeling process of,3D,modeling,measurements,using,calipers.
Ensemble And Re-Ranking Based On Language Models To Improve ASR

We propose a strategy to improve speech recognition by selecting appropriate words to form new sentences using ensemble learning. Use traditional speech recognition methods first, and then rescore using different neural language models. Second, the decoding results of five different rescoring models were selected to select words. The choice of words is based on the importance of each word and whether the position of the word is correct. In the selection of word importance, the judgment method is majority weight and cumulative weight, and shift alignment and longest common subsequence alignment are used to determine word positions. And then the selected word representatives are reorganized to create new sentences. We compare the results of sentence ensemble and rescoring. As shown in the Aishell-1 test data, an error reduction rate of 7.30% can be achieved, verifying the effectiveness of the proposed method.
Shuffle is What You Need

Self-supervised learning gains extensive attention in speaker recognition, partly due to the difficulty of collecting data with large-scale speaker labels. Contrastive learning is among the most popular approaches in this setting, where similar pairs (positive) are sampled from the same utterance while dissimilar pairs (negative) are sampled from different utterances. Despite the promising results reported in the literature, we argue that the random sampling approach may lead to unideal content residual in speaker embeddings, due to the learning of content dependency in positive pairs. In this paper, we investigate a novel frame shuffle approach, which constructs positive pairs by shuffling the frames of the anchor segment. Our experimental results on the VCTK dataset showed that the new approach can obtain comparable or better performance compared to random sampling. Moreover, the frame shuffle approach fully corrupts the linguistic content in the training data, which enforces the learned model being language independent. We tested the hypothesis in both multi-lingual and cross-lingual scenarios and observed remarkable performance improvement over the random sampling baseline.
ASSESSMENT SYSTEM FOR SPORTS EXERCISES BY NEURAL NETWORK VIDEO ANALYSIS

This article describes the initial stage of developing an information system for evaluating a sports exercise based on the use of neural networks. The current approach to the evaluation of sports exercises and its shortcomings, as well as the advantages of introducing computer technology, were considered. The analysis of initial data is carried out. Next, the approaches that are used to analyze the position of the athlete's body during the exercise are considered, and an approach is chosen to obtain the position of the athlete's body in space and time. The definition of the concept of key points is given and their location, number on the human body are described. A number of pre-trained neural networks are considered that determine the location of key points on the human body, and the best option for solving the problem posed in this article is selected. The data sets that are used in the training of neural networks, in tasks of determining the position of the human body, are studied. The problem of image analysis is posed and an algorithm for solving the problem is introduced. As a result of the work, a prototype of an information system was developed that is capable of receiving frames from the original video sequence, processing frames using a neural network, recording the position of key points in the image to a text file, and processing data from the file for analysis.
THE EFFECT OF USING VOA (VOICE OF AMERICAN) NEWS VIDEO ON IMPROVING THE STUDENTS TRANSACIONAL SPEAKING AT SENIOR HIGH SCHOOL SOPPENG

Nowadays, there are a lot of online learning platforms. New technologies developed to make learning process easier. One of the examples of online learning platforms is VOA (Voice of American) News. The research aimed to measure the effect of VOA News toward the students’ transactional speaking at Gandra Islamic School Soppeng. This research employed an experiment exactly quasi-experimental research, where the data obtained from the pre-test and post-test. The subjects of this research were 31 students which divided into two groups such as control group which consist of 15 students and experiment group which consist of 15 students at Ganra Islamic School Soppeng. The data was analyzed by using SPSS and found that the H1 was accepted. It proved that the implementation of VOA News improved students’ speaking skill because there was an improvement score from the pre-test to post-test. Based on the finding and discussion of the research, the researcher proposed to provided recommendation especially for an English teacher of Ganra Islamic School Soppeng to imply VOA News as a technique to improve students’ speaking skill.
JPR volume 60 issue 1 Cover and Back matter

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Multi-view entity type overdependency reduction for event argument extraction

Event Argument Extraction (EAE) is a key component of event extraction, which has become a bottleneck that limits the overall performance of event extraction. As an entity-based extraction task, most EAE models focus on modeling complex interactions between entity mentions and event triggers. However, the strong correlation between entity types and argument role types has been overlooked in most EAE models, which disregard the possible negative effects of the correlation. In this paper, we study entity type dependency and conduct experiments to evaluate its effects on the overall performance for EAE. The experimental analysis shows that baseline EAE models suffer from varying degrees of entity type overdependency, which degrades the overall performance. To tackle this problem for EAE, we propose a novel multi-view entity type overdependency reduction model. The proposed model consists of two contrastive learning methods from different views and a cyclic training strategy. In particular, we propose a select-then-weigh contrastive learning method to achieve entity type overdependency reduction from the view of positive samples. And in parallel, we propose a pseudo-positive contrastive learning method to achieve entity type overdependency reduction from the view of negative samples. Moreover, the cyclic training strategy is designed to enable the two contrastive learning methods to collaborate efficiently. We have conducted experiments on the widely used ACE 2005 English dataset to evaluate the effectiveness of our proposed model. The experimental results show that our proposed model has outperformed the current state-of-the-art models for the EAE task.