Reviewerly/exHarmony huggingface dataset:
The Physics of the Ideal Continuum

In this paper from the domain of theoretical physics, there have been stated and briefly described the basic principles and laws that apply to the new scientific discipline of physics, which we call the Physics of the Ideal Continuum. In addition to the definition of the ideal continuum, it also defines and describes other phenomena such as the origin of matter, the origin of space-time, the origin and role of black holes and other phenomena in the universe. Special attention has been focused on the energy balance in the universe, as well as on the universal physical constant and its role in the development of the mathematical and physical models of the universe. Through the presentation of the differences between the physics of the ideal continuum, the quantum physics and classical physics, an additional stride has been made in understanding the most important laws and their applicability in these scientific disciplines, as well as their inter-connectedness. Other terms that have been given a significant role in this paper include equilibrium and gravitationalsheds (gravitational divisions).
Image Pattern Recognition using DCT-based Feature Extraction and Genetic Search Feature Selection

Feature selection is a critical task in machine learning that is used for dimensionality reduction of data to enhance the performance of different classification and clustering algorithms.The main challenge of the feature selection problem is its large search space.Different approaches have been adopted to solve the feature selection problem.Meta-heuristic search techniques, including genetic algorithms, have recently gained attention by machine learning community and achieved enhanced performance.A genetic algorithm can generate quality solutions to optimization problems based on genetic operators such as selection, crossover, and mutation.It is an iterative process in which the best candidate solutions are combined to generate even better candidate solutions.The process is repeated until an acceptable solution is achieved or the maximum number of iterations is reached.In this paper, a genetic algorithm is used to search for the optimal subset of relevant features for image classification.Experimental results show that the adopted feature selection technique resulted in enhanced performance of neural networks and logistic regression classifiers using much less number of selected features.
INTEGRATED ADAPTABLE MOBILE BASED PLATFORM FOR UNIVERSITY/COLLEGE MANAGEMENT USING FIREBASE

Bagpack is an Mobile Application built inAndroid which provides a platform for both faculties and college students to possess a much better interaction.This app has eccentric and helpful features like material uploading portal, Smart Attendance management system, group chatting interface etc.The major idea behind Bagpack is to provide a generalized mobile platform for college management with enhanced usability standards and best reliable data managing backend.This paper describes how effectively the college management process could be advanced by integrating conventional materialistic user interface with Firebase through Bagpack.
PENGELOMPOKAN SEBARAN TRANSFORMATOR DISTRIBUSI BERDASARKAN KAPASITAS DAYA MENGGUNAKAN METODE NAÏVE BAYES Studi Kasus: PT. PLN RAYON KOTA SAMARINDA

Human needs for energy are mostly obtained from electrical energy, both for daily needs and for industrial needs. PT. PLN (Persero) is one of the state electricity companies that serves the community's need for electricity. Transformer or better known as "transformer" or "transformer" is actually an electrical device that converts AC power at one voltage level to one voltage level based on the principle of electromagnetic induction without changing its frequency. Because of the lack of distribution of transformers around the Samarinda area, it can result in electricity demand services to the community. Therefore we need a method that can facilitate the distribution of PT. PLN Rayon Kota Samarinda, one of the methods is by applying Naïve Bayes. The purpose of this study is to facilitate the distribution in each region and the type of transformer used. The results of calculations using the Naïve Bayes method, the results obtained the probability of grouping training data is P (160) = 0.006441224, P (100) = 0.016304348, P (80) = 0.001610306, P (50) = 0.001610306, P (40) = 0.000402576, P P (20) = 0,000679348. From the calculation results, it appears that the probability value P (100) is more dominant, then 100 is recommended for real consumption which is used as training data. The Naïve Bayes method produces an accuracy rate of 92%.
Utilizing Students’ Critical Thinking Skill On Undang-Undang Dasar 1945 Through Android (Gejog Lesung) Based-E-Learning Media

The android-based learning media development for civic education learning process is very important to develop.This study was purpose determining students' critical thinking skills enchancement using Android (Gejog Lesung) based civic elearning.The method used in this study was a quasi-experimental method, conducting to one-group Pretest-Posttest Group Design.The population Public senior high school Ngaglik 1 in the 2019/2020 Academic Year.The sample in this study was determined by cluster random sampling and focusing on represented a class to be a sample.The research instrument used was a matter of pretest-posttest.Data analysis using t-test.The results of the study showed that (1) Android (Gejog lesung) based-civic elearning was able to improve the critical thinking skills of students on Public senior high school Ngaglik 1 Sleman, Yogyakarta, Undang-Undang Dasar 1945 with values n-gain of 1,34 in the high category.In accor with the data obtained, it can be seen that the android (Gejog lesung) based civic e-learning can have a high or positive influence on improving the critical thinking skills of first class students in Public senior high school Ngaglik 1, Yogyakarta on the material provisions of the Undang-Undang Dasar 1945 in the practice framework of state government.
Android Application Design for Automatic Tablet Dispenser

This project patient medication reminder is a system which helps in medication administration and monitoring.This system consists of an ATMEGA328P microcontroller with an inbuilt EEPROM and a real-time circuit.This system is driven by an embedded program that inputs predefined parameters which are processed based on the input variables entered via a user interface device such as the keypad.All the entries made on the keypad are concurrently and simultaneously displayed on embedded program to initiate the alert through an audio alarm.Not only does it have an alarm system, but also it notify through IoT to user the medicine to be taken at the reminder time.I.
Machine Learning Prediksi Karakter Pengguna Hastag (#) Bahasa Generasi Milenial Di Sosial Media

&lt;em&gt;Activity on the internet leaves a traceable digital trail. Users who are expressive of social media and have a habit of pouring everything on Instagram are more considerate of the cause and effect of status updates. The problem discussed in this study is to describe the character of the Instagram user account according to the hashtags (#) of the most widely used millennial language such as #awesome and so on. With machine learning, computers can work alone. This digital technology has long been applied to Google search, search engines and social media (Facebook, Twitter, Instagram). The benefits of machine learning are the ease of obtaining digital data from online users. The stages of the study consisted of the application of algorithms that produced predictions for classification using the K-Nearest Neighbors Algorithm. The formulation of the problem in this research is how to process data sourced from millennial language hashtags based on the most popular hashtags (#) on instagram using machine learning by identifying names in the text into Connected, Creative and Confident. From the results of the calculation of the closest distance and proximity of the neighboring obtained 10 popular hashtags. Creative Classifications become dominan type user.&lt;/em&gt;
READING INTENSITY ON STUDENTS’ SPEAKING ABILITY

Speaking as a language skill has been considered the most difficult one to master by the students especially in Songserm Wittaya School Songkla, Thailand. It was found that the majority of the students found it difficult to speak English fluently. As a productive skill, speaking is complex because learners need to acquire the accuracy and fluency in speaking. However, one EFL class showed a bit difference in the ability of speaking English because of their reading intensity. The design of the research was descriptive qualitative. The data were collected by a questionnaire for intensive reading and an interview on speaking to 30 students at 4/3 grade. The results of this research in general revealed that most of the students at grade 4/3 Thailand are good in speaking English due to their intensive reading that reached 50%. It was clearly seen from the analysis of some aspects of speaking (pronunciation, grammar, vocabulary, fluency and comprehension) in the interview section and questionnaire of reading intensity that 50% of the participants can speak English better through reading activity intensively. This finding implies that intensive reading has become a meaningful input for students’ speech production.
EFFECTIVENESS OF PROGRESSIVE MUSCLE RELAXATION TECHNIQUE ON PHYSICAL SYMPTOMS AMONG PATIENT RECEIVING CHEMOTHERAPY

Cancer is one in all the leading causes of morbidity and mortality worldwide, with more or less fourteen million new cases in 2012.The number of recent cases is predicted to rise by concerning seventieth over consequent a try of decades.Cancer is that the second leading reason for death globally, and was to blame for eight.8 million deaths in 2015.Globally, nearly one in six deaths is because of cancer.The present study is used to assess the effectiveness of progressive muscle relaxation technique on physical symptoms among patients receiving chemotherapy.The data from a sample of 100 cancer patients receiving chemotherapy admitted in selected hospital of Amritsar, Punjab.50 patients in experimental group and 50 patients in control group were selected using purposive sampling technique.The results of the study showed highly significant difference in pre-interventional and post-interventional physical symptoms of experimental and control group.The Z value (Wilcoxon signed rank test) between pre-intervention and post-intervention in experimental group related to nausea was 6.350 which were found statistically highly significant at p< 0.001.The Z value between pre-intervention and post-intervention in control group related to nausea was 1.000 which was found statistically non-significant in control group at p>0.001.Hence, it was concluded that in control group physical symptoms were not relieved.The Z value between pre-intervention and post-intervention in experimental group in experimental group related to vomiting was 6.154 which were found highly significant at p< 0.001.Hence, it was concluded that progressive muscle relaxation technique has significant effect in relieving physical symptoms.The Z value between pre-intervention and post-intervention in control group related to vomiting was 1.342 which was found non-significant at p< 0.001.Hence, it was concluded that in control group physical symptoms were not relieved.The Z value between pre-intervention and post-intervention in experimental group related to pain was 6.385 which was found highly significant at p<0.001.Hence, it was concluded that progressive muscle relaxation technique has significant effect in relieving physical symptoms.
The introduction of new information technologies in the educational process based on the use of training grounds monitoring center and situational center

Bezhentsev A.A
Visual analytics for historical linguistics: opportunities and challenges

In this paper we present a case study in which Visual Analytic methods for interactive data exploration are applied to the study of historical linguistics. We discuss why diachronic linguistic data poses special challenges for Visual Analytics and show how these are handled in a collaboratively developed web-based tool: HistoBankVis. HistoBankVis allows an immediate and efficient interaction with underlying diachronic data and we go through an investigation of the interplay between case marking and word order in Icelandic and Old Saxon to illustrate its features. We then discuss challenges posed by the lack of annotation standardization across different corpora as well as the problems we encountered with respect to errors, uncertainty and issues of data provenance. Overall we conclude that the integration of Visual Analytics methodology into the study of language change has an immense potential but that the full realization of its potential will depend on whether issues of data interoperability and annotation standards can be resolved.
Issues of Online Training Development in Higher Education System in the Context of Economy Digitalization

Digital economy growth stimulates the development of such innovative direction in higher education as online training.Online education provides students with access to the resources of the leading higher educational institutions of the country and helps them to individualize their study.At the same time, the introduction of online courses into the educational process of higher schools faces a number of problems that are both objective and subjective in nature.This paper deals with the subjective problems of online education development in the higher education system in the context of economy digitalization.In particular, the authors considered the issues related to the student attitude to online courses, as well as to learning motivation and self-regulation.The latter plays more significant role for online learning models than for a traditional one.The study is based on empirical material collected in two Voronezh Universities by means of psychodiagnostic and sociological methods.The analysis showed that students do not have a strong desire to take online courses.The ineffective functioning of online courses is also caused by the lack of necessary motivation to study of the majority of the students.The main motive for learning of a large part of students is getting a diploma, rather than acquiring knowledge or mastering a profession.At the same time, the general level of student self-regulation is such that if they are motivated, they are able to complete online courses training successfully.The article emphasizes the fact that now, students are not psychologically ready for online education, and the active introduction of online courses into the higher education system may have mixed effects.
PENENTUAN PARAMETER LEARNING RATE SELAMA PEMBELAJARAN JARINGAN SYARAF TIRUAN BACKPROPAGATION MENGGUNAKAN ALGORITMA GENETIKA

&#x0D; &#x0D; &#x0D; &#x0D; One of the weakness in backpropagation Artificial neural network(ANN) is being stuck in local minima. Learning rate parameter is an important parameter in order to determine how fast the ANN Learning. This research is conducted to determine a method of finding the value of learning rate parameter using a genetic algorithm when neural network learning stops and the error value is not reached the stopping criteria or has not reached the convergence. Genetic algorithm is used to determine the value of learning rate used is based on the calculation of the fitness function with the input of the ANN weights, gradient error, and bias. The calculation of the fitness function will produce an error value of each learning rate which represents each candidate solutions or individual genetic algorithms. Each individual is determined by sum of squared error value. One with the smallest SSE is the best individual. The value of learning rate has chosen will be used to continue learning so that it can lower the value of the error or speed up the learning towards convergence.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; The final result of this study is to provide a new solution to resolve the problem in the backpropagation learning that often have problems in determining the learning parameters. These results indicate that the method of genetic algorithms can provide a solution for backpropagation learning in order to decrease the value of SSE when learning of ANN has been static in large error conditions, or stuck in local minima
Las tecleras o clickers como un instrumento complementario que favorece la construcción de Aprendizaje Significativo en la resolución de problemas en electromagnetismo

One of the difficulties that the theory of significant learning has is to be able to immediately determine conceptual assimilation, that is, to know how the learner is interacting between the previous concepts and the new concepts to be learned. The tecleras or clickers as a technological instrument of the new information and communication technologies allow us to have instantaneous answers from each one of the students when they are subjected to questions that explain their assimilation process. This research proposes a teaching method in problem solving, based on guided inquiry, so that the teacher detects the assimilation of the students when they solve problems. It is underpinned by Ausubel's theory of meaningful learning and Vygotsky's sociocultural theory. The investigation is solved by means of a mixed, quantitative and qualitative methodology, with a quasi-experimental design, where two groups are compared in problem solving; a control group and an experimental group. Problem solving is carried out in an Electromagnetism course, at university undergraduate level. The results show significant progress in the acquisition of significant learning between the experimental group and the control group.
Peningkatan Kualitas Pengajaran Akuntansi dan Simulasi Uji Kompetensi Akuntansi Guru SMK Puragabaya Kota Bandung

The community service program is aimed at improving the quality of accounting teaching for accounting teachers and providing a simulation of accounting competency tests. The method of implementing the activity is carried out with focus group discussions, accounting training and accounting competency test simulations. The training material adopted the competency units issued by LSP-TA and was in line with SKKNI. Participants in this program are 18 accounting teachers who participated in this activity from beginning to end. Program evaluations have been carried out to measure program effectiveness. Evaluation is carried out on aspects of training material and aspects of organizing activities. In the material aspect, the evaluation is done by evaluating the results of an accounting competency test simulation. The assessment is carried out by following the accounting competency test assessment pattern used by LSP-TA. Evaluation of the implementation of activities carried out to evaluate the training material, resource persons, facilities / logistics during the activity. In addition, participants are also entitled to provide advice and input on the implementation of activities
Exceeding the bandwidth of the channel without memory in the discrete-continuous deterministic channel with the memory and set restrictions

Sukhorukov A.S. (2020) Exceeding the bandwidth of the channel without memory in the discrete-continuous deterministic channel with the memory and set restrictions.T-Comm
Hate speech on social networks and traditional media in Republic of N. Macedonia

The media, especially social networks as a means of mass communication, have an extremely important role in promoting diversity, their respect, tolerance and equality, non-discrimination.Despite this, they often become promoters of hate speech.More recently, in addition to traditional media, hate speech has found a new way to manifest itselfthrough social media, the Internet, whose popularity and widespread use allows certain content to reach the widest audience.The paper addresses hate speech in terms of its presence on social networks and traditional media.The aim is to show the situation in the Republic of Macedonia regarding this issue.Thereby, through the method of descriptive analysis, supported by a series of examples from practice, it is concluded that in the Republic of Macedonia the presence of abuse of media and social networks is noticeable, in order to disrespect diversity, spread prejudice, intolerance and stereotypes.
MODEL KLASIFIKASI KEPUASAN MAHASISWA TEKNIK TERHADAP SARANA PEMBELAJARAN MENGGUNAKAN DATA MINING

Student in one of the stakeholder in a university. Therefore, student’s perception in the quality of learning facilities and infrastructures become important to ensure the university’s performance. The Faculty of Engineering of University of Palangka Raya has not comprehensively evaluated the students’ satisfactory of the learning’s facilities. In this research, methods from data mining approach was implemented to classify whether the students satisfy or not with the quality of the learning’s facility in Engineering Faculty. This research compared three data mining algorithm, Decision Tree C4.5, Support Vector Machine, and Naïve Bayes to obtain the best algorithm for the prediction system. 948 responses were collected, 61% of the respondent were satisfied with the quality of the learning facilities and infrastructures, while 39% of the respondents were dissatisfied. The Decision Tree c4.5 had the best performance with accuracy of 88% and precision of 98% compared to the Naïve Bayes and support vector machine.
EDUCATIONAL GAME DESIGN ASA 5S CONCEPT LEARNING TOOL AT PT. XYZ

The educational game is very interesting to develop because it has several advantages. Currently educational games can also be applied to companies that want to provide learning to employees in an interactive and different way, one of them is PT XYZ. 5S is a Japanese term that consists of Seiri, Seiton, Seisho, Seiketu, and Shitsuke. 5S was chosen as the topic of the game because it is a guideline for employees to create order, cleanliness, and safety, therefore the learning process requires its own challenges. Applications are built using the Multimedia Development Life Cycle method, which consists of six stages, namely concept, design, material collection, assembly, testing, and implementation. Alpha testing, testing the functionality of the application using the Blackbox testing method with the results of each application function running. Beta testing, testing of the Expert Test and Employee Sample Test to measure the level of effectiveness of the game as a learning medium at PT XYZ, provides excellent results on game effectiveness, namely: 5S 90% Material Expert Test Test Percentage, 90% Game Expert Test, and Sample Test Employees 94.66% all three are at very good intervals.
Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing

Two-dimensional oscillatory neural networks for energy efficient neuromorphic computing The 4 th and 5 th of February 2020, in Montpellier (France), at the premises of LIRMM, CNRS the Kick-off meeting of NeurONN took place. All the Partners of the NeurONN Consortium met and set the ground for the activities along the three-year duration of the EU Project. NeurONN 1 is a research project funded by H2020 EU's research and innovation programme with core subject Energy-efficient bio-inspired devices accelerate route to brain-like computing. The project with duration of 36 months (1 January 2020-31 December 2022) brings together leading European research and academic institutions. Neuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems. Mimicking the human brain and nervous system, these computing architectures are excellent candidates for solving complex and large-scale associative learning problems. The EU-funded NeurONN project will showcase a novel and alternative neuromorphic computing paradigm based on energy-efficient devices and architectures. In the proposed neuro-inspired computing architecture, information will be encoded in the phase of coupled oscillating neurons or oscillatory neural networks (ONN).