Reviewerly/exHarmony huggingface dataset:
Pembuatan Website Penerimaan Peserta Didik Baru (PPDB) Man 3 Sragen

A website is domain page that contains information that aims to enable people to inter-connect. Through the website, it is also one of the media to improve the image of both institutions and agency, related to web pages that are capable of displaying multimedia documents such as text, images, videos, and even animations that are made as attractive. In the case of MAN 3 Sragen school which uses the New Student Admissions website (PPDB), used to inform the public which aims to help schools manage the implementation of PPDB selection and provide convenience to the community, especially parents or guardians of prospective students in obtaining information. School-related information can be easily accessed anywhere and anytime because it is online. In addition, during the Covid-19 pandemic, the role of schools is to participate in trying to minimize community mobility. So based on the results of the evaluation of the implementation of community service with assistance and maintenance of the PPDB website, it is easy to understand by the manager and the school takes steps to inform and disseminate to the public.
Semantic Analysis of Massive Text under Multi-Model Strategy

The comment text generated by tourists' travel is one of the core contents of the research on semantic analysis of tourist destinations.Considering the phenomenon of fake reviews, simple copying, worthless information and irrelevant content, it prevents tourists from obtaining valuable information from online reviews.In this paper, the analysis of tourist reviews based on a multi-model fusion of natural language processing can solve the understanding problem with online reviews, and realize the analysis on characteristics of tourist destinations after machine processing.The method in this paper is experimentally verified on the data of question C in the ninth "Teddy Cup" Data Mining challenge, and the effective text is extracted for analysis of characteristics.It provides research ideas and methodological support for exploring the effectiveness and characteristic analysis of the text.
The impact of personal values on the learning process and student accomplishments

Personal values play a vital role while utilizing learning approaches by individuals through their studies. Especially in higher education, those values substantially affect individuals' character in their learning community and eventually influence their academic accomplishments. Values manifest themselves in all elements of practical culture. In cognitive activity, they play the role of a reference point: it is more natural for a person to learn what is vitally important for him/her. The purpose of the research is to identify the life priorities and value orientations of modern students and its influence on learning process and student accomplishments. As a research method, the method of unfinished sentences was used, as a method of collecting information that allows us to identify various aspects related to the life values of students. The article considers the specifics of life values’ semantic content among young people, defines the terminal and instrumental values of students. The study novelty and originality lie in the fact that for the first time life values are considered in the representation of first-year students. It is proved that material security, as a value is practically not represented in students. For the first time, it was determined that the structure of young students’ terminal values includes family, education, and later career. It is revealed that success, as a value, from the point of view of students, directly depends on responsibility, performance, self-control. It is considered that the best job for first-year students is the one that corresponds to their emotional mood, is highly paid, and is associated with helping other people.
An attempt at an online robot contest for university students in Hokkaido

Since 2001, Robot-Triathlon, a robot contest for engineering university students in Hokkaido, have been started, and gathered the participants of around 30 teams regularly. Under Covid-19 catastrophe, the contest was canceled in 2020. However, in 2021, it was re-started using an online meeting service. This paper explains its outline, competition rule, operation method of Robot-Triathlon online. Furthermore, the participating teams and robots are introduced and the features of the robots were summarized.
System Effectiveness Evaluation Method Based on GA-BP under the Condition of Small Sample

In the evaluation of system effectiveness, the factors affecting system effectiveness are becoming more and more complex and the relationship between them is obviously nonlinear. The Genetic Algorithm-Error Back Propagation(GA-BP) neural network evaluation method has a wide application space due to its good nonlinear fitting ability and good convergence. However, the sample data for system effectiveness evaluation is usually small sample data, which increases the randomness of the evaluation results of the GA-BP neural network evaluation method with sample dependence. The accuracy of the assessment is reduced. In view of this, based on the bootstrap method and the non-replacement sampling method, two GA-BP-based system effectiveness evaluation methods under the condition of small sample are proposed, which are verified by using the sample data. Compared with the GA-BP neural network evaluation method, the two evaluation methods have significantly improved evaluation accuracy, and the evaluation method optimized based on the non-replacement sampling method has better performance.
Robot Autonomous Assembly Task Understanding Based on Information Mining

Aiming at the problems in the production process of multi-variety, small-batch, and high flexibility products, the complex process files need to be translated into a data formatthat can be recognized by robot directly, this traditional way will lead to an inaccurate understanding of the process information, useful information miss, low efficiency and other issues, a semantic understanding method of complex product assembly based on information mining is proposed. Taking the assembly process document of a certain type of regulating valve as anexample, the key information of the assembly process documentis extracted and the domain professional lexicon is established, the apriori algorithm is used to mine the matching relation between production parts and tools by extracting historical process records. According to the information organization form of entity-attribute-entity, the knowledge graph is established to associate the multi-source heterogeneous information needed by the robot assembly.
Derivation of master equation for a two-level atom driven by squeezed state field

On one hand a two-level atom is utilized as a qubit in quantum information technology and on the other hand the light in quantum optics is usually in the squeezed state. These reasons motivated us to explore the dynamic of a two-level atom which is driven by a field in the squeezed state. To this goal, the atom operators and the Heisenberg-Langevin equation have been employed. The master equation which reveals the dynamic of the atom has been derived using some features of the squeezed state and doing some algebra. Finally, the dynamic of the two-level atom which is driven by squeezed state field has been simulated by the derived master equation. Also, the effect of atom parameters on the dynamic has been investigated.
PELATIHAN MEDIA CANVA DALAM MENINGKATKAN LITERASI DIGITAL DAN KREATIVITAS ANAK DI DESA SUMBERJAYA

Education today must improve the quality of learning that is more innovative and creative. Learning media is one of the supporting components in learning, during this pandemic many schools are doing the learning process online because of social distancing restrictions that make the capacity of this school limited. The presentation of interesting, creative, and informative information or news is one of the capital to create information that is easily accepted by readers, in addition, learning media also affects students' learning interests, one example of learning media is by using infographics presented in a visual format. Therefore, the author held a Real Work Lecture Program containing Canva Media Training activities to improve digital literacy and creativity for children which will be held at Griya Pratama Bekasi RT / RW 001/034 Housing, Sumberjaya Village. This activity is carried out for 3 weeks. The goal is that with this training activity, the author wants to teach children who are in Griya Pratama Bekasi RT / RW 001 / 034 Housing, Sumberjaya Village has experience in designing. This activity has provided knowledge to the public/participants about the canva application which can be a reference for making infographic/poster designs, videos, logos, and even learning media as well. In addition, this training also improves the ability of participants in terms of innovative and creative skills.
ATUAÇÃO DA EQUIPE DE ENFERMAGEM EM PACIENTES ADULTOS VÍTIMAS DE PARADA CARDIORRESPIRATÓRIA: UMA REVISÃO INTEGRATIVA DA LITERATURA

The present work deals with the following theme "Nursing assistance in relation to workers' health".It is required to present how important
The HMML Authority File: Current Status and Future Directions

This annotation describes the HMML Authority File (HAF), an open access database of authority records used by the Hill Museum & Manuscript Library that currently focuses on name authorities related to the Eastern Christian and Islamic manuscript traditions, but will eventually include all of HMML’s authority files. It explains the project’s history, describes how the file is populated, and discusses the best methods for searching and accessing the rich data stored in the file. As the file is a Beta project, the annotation also discusses its shortcomings and their intended solutions, as well as other future directions.
Network-Based Control for Nonlinear System

The most popular technique for classifying images now is the convolutional neural network. During its training, it is crucial to adjust two factors: the learning rate and gradient. The pre-processing phases involve the fuzzy clustering approach. To change the learning rate, two Event-Based control loops called E (Exponential) and PD (Proportional Derivative)-Control are used. An exponential control loop is employed to prevent an abrupt decline in learning rate as the model gets closer to its ideal state. The learning rate is used by the proportional derivative control loop to determine when to move on to the subsequent data batch. The weight is updated using the back propagation approach based on the loss value that was determined. The proposed method improves the performance with an Accuracy of 96.8%.
PENGEMBANGAN SISTEM INFORMASI OLAH DATA APOTEK WAY KANAN BERBASIS WEB

Waykanan pharmacy is a pharmacy that sells and has a large stock of medicines, this Waykanan pharmacy has many customers who come every day. The medicines data of this pharmacy is divided into three types of medicines, each of which includes tablets, capsules and syrups. All transactions in these pharmacies are still recorded manually, namely by recording these transactions into a book. Some of the transactions carried out included medicines sales transactions to consumers, both prescription and non-prescription sales. Information technology, especially the web, is one alternative to overcome the sale of these medicines. The purpose of this research is to produce a system that is able to record sales transactions and is able to enter medicines data and make reports. This study uses a prototype method and testing using UAT (User Acceptance Testing). The results of testing this system successfully run as it should and based on testing the level of user satisfaction on the pharmacy information system, the test results are in the good category with satisfaction levels of 79%, 77%, and 81% from each group of system admin testers, pharmacy owners and cashier. The large percentage means that the level of satisfaction of the pharmacy information system is in the very good category.
DOOR TO DOOR ENGLISH TEACHING IN TAKA BONERATE ISLAND DURING PANDEMIC SITUATION AT SMAN 5 SELAYAR

This research aims to find out the effectiveness of Door-to-Door method and also the obstacles faced by the English teacher at SMAN 5 Selayar that used Door to Door method. The study used Descriptive Qualitative methods and collect data through collect result study of students, in-depth interview and audio record. The sample of this study was result study of students from 2 classes and English teachers at SMAN 5 Selayar who was use the Door to Door method. Samples was taken by using purposive techniques. Analysis data uses reduction data, display data and conclusion. Based on the findings of the study, there are 2 results obtained the first effectiveness of the use of Door to Door which can be seen from the results study of students, for class XIIS 1 all of a total of 18 students they get a score above 75 (KKM), For class XIIS 2, 13 people out of 16 total students get a score above 75 (KKM). For obstacles there are three, namely transportation costs, time and energy. After using the Door to Door method, students' learning outcomes increased and 75% of each class met the score of 75 (KKM) and it proved that this method was effectively used during the pandemic, and there were several obstacles faced by English teachers in the implementation of the Door to Door method, namely greater transportation costs, longer time taken and greater family energy. Therefore, based on the results, it is recommended to use the Door to Door method during the pandemic, especially at the remote area.
MENINGKATKAN KETERAMPILAN SISWA MENULIS TEKS REPORT DENGAN PEMBELAJARAN MIND MAPPING BERBASIS MULTIMEDIA

The article provides information about the implementation multimedia-based on Mind Mapping learning models among students IX students of SMP N 19 Batanghari and the improvement of their writing skill on report text through the use of this model. This research is a classroom action research which conducted in two cycles. The subject of this research is class IX students of SMP N 26 Batanghari with 33 students as participant . The object of the research is the improvement of writing skill in report text by using multimedia-based Mind Mapping. The data taken from observation, video recording and tests were analyzed by using qualitative and quantitative descriptive analysis. The results of the study show that there is an improvement of students' writing skill and learning outcomes through the multimedia-based Mind Mapping learning model. It can be seen from 2 cycles that are carried out. In the pre-cycle student success rate of 53, 60 with a low category, the first cycle of student success rates reached an average of 62.22 with a low category, in the second cycle the average student success increased significantly to 75.00.
Implementasi Raspberry Pi untuk membantu Klinik dan Pengembangan Website Klinik menggunakan Rapid Application Development

One of the Internet of Things (IoT) components is a microcontroller. One of the many microcontrollers is the Raspberry Pi. This component is often used because it is similar to a small computer. Many people use Rapid Application Development (RAD) in making web-based applications because it is considered very flexible and can iterate on the design and development section. There are several studies related to utilizing website development to help hospitals. However, the real problem is that the use of technology such as clinical information websites has not been widely used for small clinics. This is hampered by the location of the clinics, which are far from the urban center. This study has a goal to develop a website application with the help of a Raspberry Pi. This component works as a computer replacement medium (having wifi and a processor) applied to clinical LED TV because there is no computer to display it, and making the administration of the website itself tested by testing and evaluation using Black Box and User Acceptance Test (UAT). In testing and evaluation, it was found that 5 trials of Black Box testing got good results with all categories achieved. 76.13% of UAT results are included in the "Satisfied" category on the UAT test where the best result is "Very Satisfied". Furthermore, research has not focused on the actual application of IoT and needs to be studied more deeply in making IoT integrated with the website
Research on the Identification Method of Audiovisual Model of EEG Stimulation Source

For the cloud center of the mining industry, one of the most important tasks is to obtain the special environment safety state information because the hidden dangers of the water and fire, as well as the gas, always threaten human life and the production.In addition, audiovisual model of EEG stimulation source is integrated by using the convolutional neural network model with the inception network. It fuses the EEG information with the additional environment sensor information to increase the environment safety classification accuracy.Through brain network visualization and brain connection, we can get the density and weight change of global network connection in different audio-visual stimulation stages, which makes the analysis of EEG signals more intuitive. The experimental results indicate that the environment safety recognition accuracy of the audiovisual model can respectively reach 87.98%, 88.4%, and 90.12% for the single visual, the single auditory, and the audiovisual stimulus. The audio-visual modality has the best performance for the audiovisual evocation than the single visual or auditory stimuli.
Old meets new: 3-D printing and the art of violin-making

Since violin-making emerged in the early 16th century, luthiers have incorporated new technology and scientific principles into their craft in an effort to create different sounds, increase resonance, amplify volume, and create more ease of playing. In late 2018, a Canadian interdisciplinary team spearheaded by the Ottawa Symphony Orchestra asked the question: What happens when you transpose those same principles to the 21st-century? In this session, participants will hear the story of the 3-D printed instruments that made international news from the perspective of the lead musician on the team, discover the manufacturing iterations and materials that led to the final versions used in the premiere of the first-ever concerto written for 3-D printed instruments and symphony orchestra, and explore the sound concepts behind these instruments as the centuries-old tradition of violinmaking meets 21st century technology. Join us as we delve into the juncture of old and new, examine the results of such interdisciplinary work and look to the future of 3-D printing in the realm of classical music and beyond.
Improved Division Property for Ciphers with Complex Linear Layers

The division property proposed by Todo at EUROCRYPT 2015 as a generalized integral property has been applied to many symmetric ciphers. Automatic search methods of the division property assisted by modeling technique, such as Mixed Integer Linear Programming (MILP) and Boolean Satisfiability Problem (SAT), have become the most popular approach to searching integral distinguishers. The accuracy of the model in searching algorithms has an effect on the search results of integral distinguishers. For the block cipher, constructing an accurate and efficient model of the division property propagation on complex linear layers remains hard. This paper observes that the non-independent propagations of the bit-based division property (BDP) on complex linear layers can generate redundant division trails, which will affect the accuracy of the model if it is not taken into account in modeling. Based on this, we propose a method that can build a more accurate model by handling matrices containing non-independent propagations in the linear layer. To verify the effectiveness of our method, we apply the method to two block ciphers uBlock-128 and MIBS. For uBlock-128, our results improve the previous 8-round integral distinguisher by more balanced bits. For MIBS, a 9-round integral distinguisher is given for the first time, which is 4 rounds longer than the previous best.
Masked Face recognition Using Support Vector Machine and Convolutional Neural Network

This paper proposes a masked face recognition algorithm with the amalgamation of Convolutional Neural Network (CNN) and Support Vector Machine (SVM) to improve the true acceptance rate in face image prediction. Specifically, through the proposed uniform pipeline, CNN is implemented to train the model while SVM is used as a label classification method. Two benchmarked datasets which are the Real World Masked Face Dataset (RMFD) and Labelled Face in The Wild Simulated Masked Face Dataset (LFW-SMFD) are applied in the experiments. The proposed method satisfactorily achieves a 98.39 percent true acceptance rate on RMFD and 94.29 percent on LFW-SMFD which demonstrates its practicality in recognizing unconstrained face images.
A Matrix-based Flexible Multi-level Project Planning Library and Indicators

Flexible approaches such as agile, hybrid, and extreme project management from the software project environment are increasingly used in nonsoftware environments.Nevertheless, only a few methods and no topology-, time-or resource-related indicators or (multilevel) project databases can handle projects of a flexible nature.Therefore, this study shows how to extend existing project databases and indicators to examine and handle such projects.For this study, we merged several heterogeneous project databases into a compound matrix-based project database (CMPD).We compared real-life and simulated project databases, and we studied the effects of flexibility on structural and time-and resource-related indicators.
Utilization Of Information And Communication Technology As A Learning Promotion On High School

The use of digital information and communication technology in the world of education and learning will make it easier for users to provide services and search for information, but can also be used for educational promotional activities that are of appropriate value to users Besides being able to be used as educational developments and strategies and innovations in educational activities, it can also be used as a development of learning management learning materials in the field of economics in tertiary institutions. Direct implementation of learning innovation, and mastery of material can be realized with good feedback between education actors and students in utilizing digital information as a transformation of learning promotion strategies.
Evaluation of Deep Learning-based Authorship Attribution Methods on Hungarian Texts

The range of text analysis methods in the field of natural language processing (NLP) has become more and more extensive thanks to the increasing computational resources of the 21 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> century. As a result, many deep learning-based solutions have been proposed for the purpose of authorship attribution, as they offer more flexibility and automated feature extraction compared to traditional statistical methods. A number of solutions have appeared for the attribution of English texts, however, the number of methods designed for Hungarian language is extremely small. Hungarian is a morphologically rich language, sentence formation is flexible and the alphabet is different from other languages. Furthermore, a language specific POS tagger, pretrained word embeddings, dependency parser, etc. are required. As a result, methods designed for other languages cannot be directly applied on Hungarian texts. In this paper, we review deep learning-based authorship attribution methods for English texts and offer techniques for the adaptation of these solutions to Hungarian language. As a part of the paper, we collected a new dataset consisting of Hungarian literary works of 15 authors. In addition, we extensively evaluate the implemented methods on the new dataset.