Reviewerly/exHarmony huggingface dataset:
The role of “JavaMach Cluster” to training for Industry 4.0

Currently, there is an intensive expansion of the ideas and solutions of Industry 4.0 for many industries. At the same time, the complexity of the tasks being solved is growing and the need for training specialists capable of synthesizing various parts of Industry 4.0 into a coherent whole becomes obvious. On the other hand, we need tools and platforms to connect the various branches of Industry 4.0 into one whole. This article discusses the concept of using a “JavaMach cluster” to solve these problems based on the use of Java technologies. At the core of the JavaMach Cluster, ideology is the creation of a single educational, scientific, practical platform core industry 4.0 based on the use of common standards and open source technologies. A new approach to the training of specialists both within individual universities and on the basis of international university relations has been considered (Java Europe Education).
A Super Ising Machine with All-to-All Two-body and Four-body Interactions

We propose and demonstrate an Ising machine that contains nearly a million spins and supports all-to-all many-body interactions via frequency-conversion process. Its ground state is approximately obtained via adaptive feedback control.
환경동화를 활용한 환경교육 프로그램이 초등 저학년 학생의 환경보전지식과 환경감수성에 미치는 영향

The purpose of this study was to develop environmental education program using environmental fairy tales and to apply it to 21 lower grades of elementary school students to find out the effect on environmental conser-vation knowledge and environmental sensitivity. The con-tents of the program consists of air pollution, water pollution, soil pollu-tion and garbage problems, and the lessons were designed using environmental fairy tales suitable for each subject. The results of this study were as follows. First, the environmental education program using environmental fairy tales was effective in promoting the environmental conservation knowledge of elementary lower grade students. Students became familiar with the environmental conservation including the concept of global warming and carbon footprint, the causes of water pollution, the purification of water, and the separate collection and recycling of waste. Second, the environmental education program using environmental fairy tales was effective in cultivating the environmental sensitivity of elementary lower grade students. They felt sadness, sympathy, and compassion as they watched severe pollution of water, air and soil and diseased animals and plants. As mentioned above, environmental education program using environmental fairy tale is effective in promoting environmental conservation knowledge of elementary lower grade students, contributing to cultivation of environmental sensitivity.
Modern Competencies of the Scientific Libraries Staff in References and Bibliographical Services

Reference and bibliographic services are one of the main activities of the Central Scientific Library of the National Academy of Sciences of Belarus. Its advance depends on the level of training of librarians in this field and their professional knowledge. The rules of the reference and bibliographic services have been developed for decades, and are improved and perfected in the process of everyday practice. Reference and bibliographic work, like any other professional activity, has its own professional rules and secrets.
An Optimized SVM Using Multiple Grid Search and Particle Swarm Optimization for Medication Errors Detection

Many medication error incidents could endanger patient safety, therefore a lot of effort to prevent medication errors were needed.Technology-based solution was also being developed to prevent medication errors.Handwritten prescriptions that were difficult to read were replaced by computer-based prescription orders.In addition, anomaly detection machine learning algorithm was also used to automatically detect prescription dosage errors.SVM was a machine learning method that can solve both linear and nonlinear problems with good performance classification accuracy rate.However, SVM performance depended on the parameter selection, such as kernel, C, and γ.Multiple Grid Search Particle Swarm Optimization (MGSPSO) was proposed to get optimal SVM parameter.The comparative experiment on medication error detection showed that the MGSPSO provided higher accuracy rate, compared to other methods applied to this problem.In this experiment, MGSPSO could increase Grid Search and Particle Swarm Optimization (PSO) accuracy rate about 3%.MGSPSO also could decrease Grid Search recognition time.
Reversible steganographic method based on interpolation and genetic algorithm

Recently, Information security is amongst the major challenges in the world of information communication.Hence the necessity of Steganography which is one of the solutions to fulfill this need; it is the technique of hiding a secret information into a seemingly harmless digital file to ensure successful extraction by the intended receiver.In this paper, a new reversible steganographic method based on the genetic algorithms (GA) combined with the interpolation by linear box-splines on the three directional mesh is proposed.The GA helps to choose among the interpolated pixels the suitable location where to dissimulate the secret information.The population that the GA is operating on is paths that indicate which pixel shall be used for the dissimulation.From a generation to the next one, the selected path provides a lesser Mean Square Error, which helps to obtain a good imperceptibility.As for the capacity, the interpolation technique used in this work provides a large space to conceal data.These hypotheses were corroborated by intensive experimental results that were accomplished on a wide set of test images.We obtained a good trade-off between imperceptibility and capacity.
PARTNER READING; PUMPING UP THE STUDENTS’ READING COMPREHENSION?

Partner Reading is a cooperative learning strategy in which two students work together to read an assigned text. This leads the students to feel free to express their prior knowledge during the discussion with their pair. This study examined the effect of Partner Reading on students' reading comprehension. This research was an experimental study with one group pre-test and post-test design. The research was conducted at one of MTs in West Lombok. The independent variable of this research was a teaching strategy that is partner reading. Students' reading comprehension was considered as a dependent variable. This research used all of the population as the sample. The research was analyzed through a t-test with SPSS 21 software. The research reveals that teaching strategies used after treatment affect significantly on the students' reading comprehension as the sig- 2 tailed shows that it was less than 0.000 at the level of significance 0.05 and N=24. It can be concluded that partner reading affects students' reading comprehension.
Correlation between low platelets and malaria disease – Mini review

Malaria is one of the major causes of disease for people living in tropical and subtropical areas.Infection with malaria parasites may result in a wide variety of symptoms, ranging from absent or very mild symptoms to severe disease and even death.Low platelets are common in the laboratory feature among patients with malaria.Causes of Low platelets in malaria till now it not clarified.In this mini review we try to find the correlation between malaria and thrombocytopenia.Malaria is associated with different degrees of low platelet count and the relationship between low platelets and malaria till now not sufficiently understood till now.
Pengembangan Arsitektur Model Proses Bisnis Sekolah

Determination of school business processes is very important in order to achieve the vision, mission, and goals of the school that has been determined, but many schools that run business processes do not follow the standards set by the national education standards body. Therefore there is a need for a business process that is in line with national education standards. The final results obtained from this study are in the form of architectural business process models from schools using the Togaf ADM method that can be used as a reference in conducting every business process in school.
Offline signatures matching using haar wavelet subbands

The complexity of multimedia contents is significantly increasing in the current world. This leads to an exigent demand for developing highly effective systems tosatisfy human needs. Until today, handwritten signature considered an important means that is used in banks and businesses to evidence identity, so there are many works triedto develop a method for recognition purpose. This paper introduced an efficient technique for offline signature recognition depending on extracting the local feature by utilizing the haar wavelet subbands and energy. Three different setsof features are utilized by partitioning the signature image into non overlapping blocks where different block sizes are used. CEDAR signature database is used asa dataset for testing purpose. The results achieved by this technique indicate a high performance in signature recognition.
A Utilization of Convolutional Matrix Methods on Sliced Hippocampal Neuron Region Images for Cell Segmentation

Present methodologies for cell segmentation on hippocampal neuron regions contain excess information leading to the creation of unwanted noise.To distinctly draw boundaries around the cells in each of the channels like DAPI, Cy5, TRITC, FITC, it is pertinent to start off by denoising the present data and cropping the relevant ROI for analysis to remove excess background information.Present edge detection methodologies like Canny Edge Detection create black and white outputs.It is difficult to accurately do edge detection with color throughout an entire image.As such, we utilized a more involved approach that uses pixel level comparisons to determine the existence of an edge points.By extrapolating all the available edge points, our algorithms are able to detect general edges throughout an imagine.To streamline the process, it has been accompanied with a GUI interface which allows for freehand crops.This information is stored in a downloadable txt file, which provides the necessary input for the thresholding and final cropping.Together, the interface works to create clean data which is ready for further analysis with algorithms likes FRCNN and YOLOv3.
Improving the Prediction Accuracy of Objective Video Quality Evaluation

Three different approaches for improvement of objective video quality evaluation are presented in this paper.Improvement is obtained through quality guided temporal pooling, information content weighted temporal pooling, and multiscale analysis.The analysis was performed using five objective video quality assessment measures on two publicly available datasets with subjective quality scores.Only the videos with H.264, H.265, and MPEG-2 types of compression from two datasets were considered.The level of agreement between the subjective and objective quality scores are given through the Spearman rank-order correlation coefficients on complete datasets and subsets of video sequences with the same type of compression.Obtained results show that the performance of objective measures is dependent on the choice of the dataset.The greatest improvement is given by multiscale analysis.
Utilization of Artificial Neural Networks for Fast Encryption and Decryption of Messages

This paper aims to provide a fast method to decrypt short encrypted messages that consist of 10 letters by using the technique of trained Feed-Forward Artificial Neural Network (FF-ANN).The use of artificial neural network is one of the methods of artificial intelligence, a method that mainly depends on increasing the training of the network on many and many examples.These examples must take the same context of the main purpose of this research so that the results of the network are very close to the desired and desired realism.We give the feature of our trained FF-ANN and show how we train our network using 50 encrypted messages using our proposed method to achieve the best results.Our collection of test patterns of cryptographic messages took a shorter decryption time compared to the solution using mathematical methods.We can apply this method presented in this research in the large messages that the use of mathematics for encryption and decryption is very difficult and consumes a very long time, but the use of the neural network will be easy as a method and the expectation for time consumption to be little, especially with good network training which may be of interest in next researches.
Module to scaffold the process of filling grant documents in English

In order for students and professors to advance their educational and professional careers as well as become competitive specialists in the modern world of science and technology, it is essential for them to apply for international grant programs that allow them to take part in internships abroad. Currently, there are several foreign programs offered in Russia that provide financial support for students to participate in internships abroad. Unfortunately, studentsstudying in Russia often do not possess the skills necessary to complete foreign language documents correctly. This barrier reduces their chance to successfully pass through several stages of the selection process to secure full financial support while competing amongst a large number of applicants. As a solution to this issue, the authors offer for a module to be introduced into existing curricula, which will teach students how to complete grant documents in English. This module can be introduced in foreign language courses at any level, that are aimed at preparing students to receive a higher education. The content of the module was developed based on the analysis of foreign practices of studying an academic letter, which includes in itself, the preparation of the necessary documentation for grant programs. The module consists of an overview lecture that outlines different grant programs and their English language websites, where a full list of the necessary documentation needed to apply to the respective program is included. In order to submit a strong application for an international internship opportunity, a student should comprehend the rules of writing a statement of purpose as well as recommendation letters. Applicants should also be prepared to answer questions presented to them during an interview with representatives of the program for which they have applied. The main goal of the proposed module is to teach students how to effectively communicate per the requirements and objectives set forth by these grant programs. This module will allow for the development of critical thinking skills necessary to present application materials in a logical and structured manner, in both Russian and English.
The Weight Distribution of a Class of p ‐Ary Cyclic Codes with Few Weights

In this paper, we investigate a class of p-ary cyclic codes whose duals have two zeros for some special cases and calculate their weight distributions explicitly. The results show that the codes have at most five nonzero weights. Moreover, they contain some optimal three-weight codes meeting the Griesmer bound.
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games

Often---for example in war games, strategy video games, and financial simulations---the game is given to us only as a black-box simulator in which we can play it. In these settings, since the game may have unknown nature action distributions (from which we can only obtain samples) and/or be too large to expand fully, it can be difficult to compute strategies with guarantees on exploitability. Recent work (Zhang and Sandholm 2020) resulted in a notion of certificate for extensive-form games that allows exploitability guarantees while not expanding the full game tree. However, that work assumed that the black box could sample or expand arbitrary nodes of the game tree at any time, and that a series of exact game solves (via, for example, linear programming) can be conducted to compute the certificate. Each of those two assumptions severely restricts the practical applicability of that method. In this work, we relax both of the assumptions. We show that high-probability certificates can be obtained with a black box that can do nothing more than play through games, using only a regret minimizer as a subroutine. As a bonus, we obtain an equilibrium-finding algorithm with $\tilde O(1/\sqrt{T})$ convergence rate in the extensive-form game setting that does not rely on a sampling strategy with lower-bounded reach probabilities (which MCCFR assumes). We demonstrate experimentally that, in the black-box setting, our methods are able to provide nontrivial exploitability guarantees while expanding only a small fraction of the game tree.
Effect of Combining Catalogs with Different Completeness

&amp;lt;p&amp;gt;In most seismic studies, we prefer the earthquake catalog that covers a larger region and/or a longer period. We usually combine two or more catalogs to achieve this goal. When combining catalogs, however, care must be taken because their completeness is not identical so that unexpected flaws may be caused.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We tested the effect of combining inhomogeneous catalogs using the catalog of Korea Meteorological Administration (KMA). In fact, KMA provides a single catalog containing the earthquakes occurred in and around the whole Korean Peninsula. Like the other seismic networks, however, the configuration of the KMA seismic network is not uniform over its target monitoring region, so is the earthquake detection capability. The network is denser in the land than in the off-shore. Moreover, there are no seismic information available from North Korea. Based on these, we divided the KMA catalog into three sub-catalogs; SL, NL, and AO catalogs. The SL catalog contains the earthquakes occurred in the land of South Korea while the NL catalog contains those in the land of North Korea. The AO catalog contains all earthquakes occurred in the off-shore surrounding the peninsula.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The completeness of a catalog is expressed in terms of m&amp;lt;sub&amp;gt;c&amp;lt;/sub&amp;gt;, the minimum magnitude above which no earthquakes are missing. We used the Chi-square algorithm by Noh (2017) to estimate the m&amp;lt;sub&amp;gt;c&amp;lt;/sub&amp;gt;. It turned out, as expected, that the m&amp;lt;sub&amp;gt;c&amp;lt;/sub&amp;gt; of the SL is the smallest among the three. Those of NL and AO are comparable. The m&amp;lt;sub&amp;gt;c&amp;lt;/sub&amp;gt; of the catalog combining the SL and AO is larger than those of individual catalogs before combining. The m&amp;lt;sub&amp;gt;c&amp;lt;/sub&amp;gt; is largest when combining all the three. If one needs more complete catalog, he or she had better divide the catalog into smaller ones based on the spatiotemporal detectability of the seismic network. Or, one may combine several catalogs to cover a larger region or a longer period at the expense of catalog completeness.&amp;lt;/p&amp;gt;
Application for breast cancer classification using Computational Intelligence techniques

In this work, a comparative study was carried out between two classification methods: The Multi layer Perceptron Artificial Neural Network (MLP ANN) and the method of classification of the Nearest Neighbors, used in the classification of the diagnosis of breast cancer. The data used in this work were taken from the UCI Machine Learning Repository and contains numerical data extracted from mammography images.In addition, the results were evaluated based on the cross-validation strategy.
Local Wisdom Based-Child Poetry Compilation Book As A Complementary Learning In Primary School

This research aims to develop local wisdom based child poetry compilation books as complementary learning of Indonesian language lessons at primary schools. The applied method was research and development with these following stages: (1) finding out the potentials and problems, (2) collecting the data, (3) designing the product, (4) validating the design, (5) revising the design, (6) trying out the product, and (7) revising the product. The applied instruments were (1) the data of local wisdom based child poetry compilation book necessity for a higher level of primary schools, (2) the validation result data of the book prototype judged by the experts, and (3) the result of the product trial run. The planning stage of this child's poetry book was applied to support the Indonesian language course learning in primary schools. It consists of concepts and the child poetry book design. By referring the obtained data, based on the necessity questionnaire, 90% of the teachers stated that they needed the child’s poetry book. Meanwhile, the experts’ validation results deemed this book valid. In the trial run of the product, the last stage of this research showed that 85% of the teachers stated this child's poetry book had met the learning material necessity.
PROFIL MOTIVASI BERPRESTASI PESERTA DIDIK SMP NEGERI 2 KARANGPAWITAN GARUT

The purpose of this study is to know the idea of the achievement motivation of educated person VII grade at SMP Negeri 2 Karangpawitan Garut. Achievement motivation is influenced by intrinsic factors and extrinsic factors. Intrinsic factors are factors that come from within the individual, such as curiosity, challenge and effort. But extrinsic factors are those that come from outside the individual, such a reward and punishment. Intrinsic and extrinsic motivations play a crucial role in encouraging individuals to achieve. The approach in this research is a quantitative approach with a quantitative descriptive research type. The research sample was 54 students of grade VII. Methods of data collection using a scale of achievement motivation. Based on the research results, it is known that the achievement motivation of class VII students is generally in the moderate achievement motivation category. However, the achievement motivation profile based on gender found that the achievement motivation of female students was better than the achievement motivation of male students. Keywords: Achievement Motivation, Students.
Heterogeneous Data Feature Extraction Technology based on Long-Short Term Memory

Power data resources have complex problems such as heterogeneous, multi-source dispersion, high dimensionality, and diverse forms. This paper proposes one heterogeneous data feature extraction framework based on long-short term memory graph convolutional neural network, which realizes feature extraction and fusion of distributed heterogeneous data with numerical, image and text information's mixture. Experiments show that this method is more suitable for feature extraction of heterogeneous data in grid business than other graph convolutional networks or long-short term memory neural networks. It provides further monitoring and early warning, state analysis and professional management for the power data business technical support.