Reviewerly/exHarmony huggingface dataset:
Perfil dos autores brasileiros com publicações científicas em periódicos de acesso aberto

In the current state of scientific development, identifying how the results of scientific and technological investigations are being published allows us to understand how scientific communication has been used to disseminate the studies carried out and the results achieved. In this scenario, the publication of articles in open access journals appears as an important and interesting mechanism for the dissemination of scientific research, since it facilitates and enables access to them, considering that there are no barriers, especially financial ones, to access the contents of this type of publication. Thus, this work aims to present a characterization of the group of Brazilian researchers who have published articles in open access journals. To this end, the Lattes Platform curricula is used as a data source to initially identify researchers with publications of articles in open access journals and, subsequently, draw a portrait of the profile of these researchers, such as areas of expertise, levels of training and geographic distribution.
Studi korelasional antara kebiasaan membaca dan penguasaan tata bahasa dengan keterampilan menulis deskripsi kelas V sekolah dasar

&lt;p class="Abstract"&gt;&lt;em&gt;This study aims to (1) determine whether there is a relationship between reading habits and description writing skills; (2) the relationship between grammar mastery and description writing skills; (3) the relationship between reading habits and mastery of grammar with description writing skills. This research uses a correlational method. The sample consisted of grade V students in 10 elementary schools, totaling 212 students. The data collection techniques used a descriptive writing test, a multiple choice test for grammar mastery, and a questionnaire for reading habits variable. Data were analyzed using simple correlation and multiple correlation. Based on the results of data analysis, the following conclusions are obtained: (1) there is a significant relationship between reading habits and description writing skills, r&lt;/em&gt;&lt;em&gt;&lt;sub&gt;y1&lt;/sub&gt; = 0.606. The correlation coefficient tested using the t test, t&lt;/em&gt;&lt;em&gt;&lt;sub&gt;count&lt;/sub&gt; = 11.0464 &amp;gt; t&lt;/em&gt;&lt;em&gt;&lt;sub&gt;table&lt;/sub&gt; = 1.9713. (2) there is a significant relationship between grammar mastery and description writing skills with r&lt;/em&gt;&lt;em&gt;&lt;sub&gt;y2&lt;/sub&gt; = 0.697, the significance of the correlation coefficient is calculated using the t test, t&lt;/em&gt;&lt;em&gt;&lt;sub&gt;count&lt;/sub&gt; = 14.0993&amp;gt; t&lt;/em&gt;&lt;em&gt;&lt;sub&gt;table&lt;/sub&gt; = 1.9713. 3) there is a significant relationship between reading habits and grammar mastery with descriptive writing skills as much as r&lt;/em&gt;&lt;em&gt;&lt;sub&gt;y12&lt;/sub&gt; = 0.779. The results of the significance test using the F test showed that the F&lt;/em&gt;&lt;em&gt;&lt;sub&gt;count&lt;/sub&gt; = 161.88&amp;gt; F&lt;/em&gt;&lt;em&gt;&lt;sub&gt;table&lt;/sub&gt; = 3.0391 obtained from the F&lt;/em&gt;&lt;em&gt;&lt;sub&gt;table&lt;/sub&gt; with df 209 level α = 0.05. So it can be concluded that reading habits and grammar mastery have a significant relationship with description writing skills.&lt;/em&gt;&lt;/p&gt;
Searching and Retrieving Data

The ability to retrieve and search data plays an important role in many apps. We've seen the basic search capabilities that the auto-generated apps offer. But what if we want to provide more sophisticated search capabilities, such as the ability to filter records by date or drop-down values? In this chapter, we'll find out how to add these features to our apps.
Impression Evaluation of Presence when using a Driving Simulator

When using a driving simulator, there is a problem that if the driving environment is not realistic enough, there will be a deviation from actual driving. On the other hand, it is said that using a head-mounted display (HMD), which has become widespread in recent years, improves the sense of reality in a VR environment.
To Existence of a Nonstationary Quasi-Linear Vector Field Realizing the Expansion of a Control Trajectory Bundle in Hilbert Space

The study of algebraic extension of a countable family of controlled non-linear dynamic processes “inputoutput” having differential realization in the class of ordinary quasi-linear differential equations (with software-positional control and without) in a separable Hilbert space was conducted. This problem as a starting point for the development of the general theory of vector fields, simultaneously creating a reputation for it as a useful tool in precision mathematical modeling of complex dynamic systems.
Values of Intelligent Alarm System Under Photoelectric Sensor Networks

This work was aimed to construct the intelligent alarm system with multiple photoelectric sensors as the core in this study. The system is first designed the circuit with microprocessor as the core, and then, there was a principle analysis of photoelectric measurement in the height, speed, and temperature to design a network mode of photoelectric sensor, circuits to control security doors and manage password, substation, and the monitoring center. The fusion approach based on deep learning is designed for the data collected by security alarm system. The 1-dimensional (1-D) representation of 2-dimensional (2-D) data is also designed according to the most of key information represented by the eigenvalue set of singular value decomposition of data matrix. The original 1-D signal sequence and the characteristics after 1-D were for data fusion, which is applied to identify, thus improving the accuracy of the alarm system and reducing its labor cost. During the experiment, the data fusion method proposed in this study is compared with naive bayes (NB) method and the weighted majority voting (WMV) method. The random data sets are generated with the help of a Gaussian function. The extreme learning machine (ELM) neural network classifier and k -nearest neighbors (KNN) classifier are carried in the alarm system designed in this study, respectively. The simulation analysis shows that WMV can obtain better performance of information classification compared with NB and data fusion methods, so the accuracy of classification is improved obviously. Besides, the fusion results accuracy of WMV is greatly higher than the other two.
Bandwidth Quota Configuration For Internet Access At Pematangsiantar Mayor's Office: Bandwidth Quota Configuration For Internet Access At Pematangsiantar Mayor's Office

Decreasing network performance Along with increasing network users. The way that can be done to reduce network performance degradation is by doing bandwidth management. Bandwidth management is very important in determining the bandwidth allocation that will be given to users to exceed the existing bandwidth allocation in the network. MikroTik Routerboard is one type of proxy that has a special operating system, namely the MikroTik OS Router has QoS which is used for full bandwidth usage licenses. This study provides bandwidth sharing with the Queue Tree method)
LibGuides: It's a Doggy World: But I want a specific type of dog…

Hi everyone, wow this experience of creating a LibGuide has been so interesting and rewarding to me. I am an avid animal lover, and it saddens me to know how many animals that people have brought into their lives and then discovered how much work one take
Fabrication of a rubber actuator made of high-flexible silicone rubber for assisting colonoscope insertion

In recent years, the importance of colonoscopy has increased. However, because of the flexible and complicated structure of the large intestine, the high skill of a doctor is required to insert an endoscope into the large intestine. In this research, we have developed an actuator that supports insertion by giving a propulsion function to the endoscope. In this report, we designed and manufactured a tubular actuator made of a highly flexible silicone rubber. The actuator realizes a propulsion function by applying positive and negative air pressures. A resin rod with a diameter of 10 mm, which was used as a dummy endoscope, equipped with the actuators moved at 14.6 mm/s on the floor.
Persepsi mahasiswa pgsd terhadap pentingnya mata pelajaran bahasa inggris bagi siswa sekolah dasar di era globalisasi

The goal of this research is to know how is PGSD FKIP UNS students perception about yhe importance of English lesson in elementary school in this globalization era. This research are included by qualitative research. The research data are obtained from questionnaries, interviews and document analysis. Then, calculated by using validity and triangulation. The result of this research are most of them having an opinion yhat English lessons in elementary school in globalization era is an important things to learn. Other than that, English should be learned in elementary school because in this era english are used in ecery part of life even if on a severe things. Student in elementary school are suitable to learn about grammar and vocabulary, so in the next step they are able to learn it more
Report from ACM ICMR 2018

Multimedia computing, indexing, and retrieval continue to be one of the most exciting and fastest-growing research areas in the field of multimedia technology. ACM ICMR is the premier international conference that brings together experts and practitioners in the field for an annual conference.
Modelos disruptivos e innovadores: una respuesta desde la educación superior a la pandemia del COVID-19

COVID-19, It has become a pandemic that strongly affects all countries, unleashing multiple crises in the sanitary, economic and health order.One of the most affected spheres is education at all levels, with the growth of the digital strip, social inequalities and the impossibility of guaranteeing access to education, especially to the most vulnerable sectors of cities and areas. rural.In this context, the States must develop inclusive policies in the health, economic, social, productive, poverty alleviation and education order.This contingent effort can only be fruitful with the participation of the private sector, the deployment of initiatives from the different strata and sectors of society.In the field of education, undoubtedly the little or no connectivity of large regions of the country and the lack of technological infrastructures make it even more difficult to implement successful policies.Despite this gloomy scenario, most of the countries have given responses from their own conditions to give continuity to education with the required quality.Ecuador has found these alternative responses in the implementation of new learning environments in virtual, online and hybrid modalities, developing instruments and tools that correctly combine the necessary disruption with educational innovation and point towards the consolidation of new models and strategies of teaching-learning, of teachers empowered in their new roles as strategic teachers, mediators of all components of the teaching-learning process with emphasis on the components of experimentation, autonomous work, formative research and solution to environmental problems.And the essential complement is the strategic student manager of his own process of knowledge construction, professional and personal training, with a sense of social responsibility, committed and participant in the search / solution of answers to the needs of society. Keywords: innovation, disruption, education, learning, teaching, strategies
Sistem Pakar Midiagnosa Penyakit Pelagra Menerapkan Metode Hybrid Case Based

Expert system as a system that adopts human flapping into computers has a strategic position as a system that can help solve problems in the medical field. Difficult to determine the type of disease because of the complexity of the various symptoms that accompany it, can be helped by representing the symptoms of a disease into a computer programming language. In this study, a method was developed to diagnose pelagra based on the types of symptoms that accompany it. This expert system development environment uses the MySQL database.
Generating Employment with Equipped and Trained Workforce Using Blockchain Technology

In this article, some solution-oriented ideas about providing employment with a trained and equipped workforce through using Blockchain technology are discussed. Education fraud is a serious legal crime which also harbors the employment of the unequipped workforce through unfair methods. Diploma or certificate fraud, which is committed by those who cannot afford education costs or those who do not make an effort in education to be able to meet the necessary criteria for both entering a career and promotion and during career promotion, causes problems in employment due to serious professional deficiencies. The inclusion of a failing and incompetent workforce is a serious problem in employment. Companies and universities that have changed their data storage systems in recent years using Blockchain technology were exemplified. Owing to the decentralized, transparent and reliable data recording system of the Blockchain, whether the documents containing information used to provide employment are counterfeit or not can be identified. The reliability of the submitted documents and the accreditation compliance are protected by the blockchain method without any need for third parties. As a result of people with correct and honest documents responding to employment demands and their being efficient in production, it will be possible to provide employment with well-equipped and trained workforce. In this research, solution-oriented ideas that will strengthen the functional relationship between vocational education and employment through the use of data saving methods of Blockchain technology were discussed.
An examination of stone chamber extraction based on 3D-measured point cloud for evaluation of stone chamber similarity

A stone chamber is a stone burial facility built inside a mounded tomb (Kofun). A corridor-style stone chamber is a stone chamber built on the side of a Kofun. A corridor-style stone chamber is composed of a main burial chamber for storing a body and a tunnel-shaped passageway to the chamber of a mounded tomb. Many corridorstyle stone chambers have basically the same structure. However, many of stone chambers are different in shapes such as the number of beams in the main burial chamber, and the shapes have been changed after stone on the ceiling is collapsed and sediment is accumulated inside. Archaeologists have been attempting to store and record 3D-measured digital data of stone chambers to protect and manage them<sup>1</sup>. In [1], a depth sensor in a smartphone is used for 3D measurement, and multiple stone chambers are measured. In addition, the shape similarity between the measured point clouds is visually compared by any 3D CG Viewing software. Meanwhile, the visual comparison is based on subjective and qualitative observation approaches; thus a method for objectively evaluating the similarity is required. A matching method using the scaling iterative closest point (sICP) algorithm is one of the methods for evaluating the similarity between the point clouds. It enables distance minimization of closest point pairs between the point clouds after adjusting the point clouds in a same scale. Then the similarity between the point clouds can be evaluated as this obtained minimum distance. When a corridor-style stone chamber is measured, however, not only the stone chamber in the ground but also the ground surface part will be obtained together as a point cloud. The difference of the ground surface shapes makes shape matching difficult. Owing to the above-mentioned issue, this paper proposes an examination of the stone chamber extraction. It is the base of similarity evaluation between 3D-measured corridor-style stone chambers.
Automatic Car Detection Using Haar Cascade Classifier and Convolutional Neural Network for Traffic Density Estimation

Based on a survey released by the TomTom Traffic Index in 2018, Indonesia was ranked seventh in the category of the most congested country in the world. One of the factors affecting traffic congestion in Indonesia is an inflexible and conventional traffic management system. In this regard, it is necessary to have a better traffic management system such as a Smart Traffic Light. One way to implement a smart traffic light system is to make a vehicle detection and counting system on the traffic CCTV video automatically. The methods used in this research are Haar Cascade Classifiers and Convolutional Neural Network. Haar Cascade Classifiers have fast computation processes and CNN is applied to validate the detection results of the Haar Cascade method for better accuracy. The average level of accuracy achieved by the system on quiet test data is 82%, normal test data is 69%, and busy test data is 60%. Meanwhile, the average computation time needed by the system for the quiet test data is 0.63 seconds, the normal test data is 0.52 seconds, and the busy test data is 1.05 seconds.
ATTENDANCE MANAGEMENT SYSTEM USING FACE RECOGNITION AND DEEP LEARNING

F. Marenčić1, Z. Stapić 2, P. Grd2 1Student at University of Zagreb, Faculty of Organization and Informatics (CROATIA) 2University of Zagreb, Faculty of Organization and Informatics (CROATIA)
The Peril of Blockchain in a Vertical Relationship

Blockchains allow firms and consumers to trace the physical flow of products along a supply chain. Although this improvement in information transparency helps enhance product safety and quality, it also provides information integration in the channel by giving an upstream manufacturer information regarding its retailer's sales records, which are previously unknown owing to demand uncertainty. By breaking the information asymmetry between the manufacturer and retailer, blockchains seem to benefit the manufacturer at the expense of the retailer. Contrary to this intuition, we find that, a manufacturer's information regarding retailer's sales can worsen double marginalization and hurt the manufacturer, the retailer, and consumers alike, thereby leading to a lose-lose-lose outcome. Our results caution firms and public policymakers that the implementation of blockchains can lead to unintended consequences. Thus, we find that unlike vertical integration that resolves double marginalization, information integration can increase the intensity of channel competition making everyone worse off.
OUTER CONNECTED RESOVLING SETS IN A GRAPH

In this paper, we have constructed a sequence of soft points in one soft set with respect to a fixed soft point of another soft set.The convergence and boundedness of these sequences in soft ∆-metric spaces are defined and their properties are established.Further, the complete soft ∆-metric spaces are introduced by defining soft ∆-Cauchy sequences.
DESAIN APLIKASI PEMBELAJARAN MOBILE BAHASA DAN BUDAYA JEPANG

This research aims to build a Japanese language and culture learning application using Android platform. It supports mobile learning so it can be accessed easily anywhere and anytime. It also provides an interesting learning experience with various and interactive features. This research consist of six stages: literature study, data collection, analysis, design, implementation, and testing. System design and development use a waterfall method. The system testing used is Blackbox and questionnaires. This research produces a Japanese learning mobile application which consists of an introduction to Hiragana and Japanese culture, learning materials, and evaluation. Blackbox test results show that all features function according to their function. This research also uses a questionnaire to find out the user responses about the application. The results show that 85.7% of respondents believe that this application is easy to use and 64.3% rate it provides material content that can be understood easily.
A real-time feedback system of strength training with motion capture and head mounted display

The correct posture and procedure are essential for effective and injury-free strength training. Although it is necessary to know the differences between the postures and procedures of the trainer and the trainee, it is difficult for the trainee to know them during training without the presence of the trainer. Therefore in this article, we propose a mixed reality (MR) system which uses motion capture to recognize a trainee's posture on a HMD. Through the system, the trainee can train while looking his/her own postures on a HMD. Also the PC with the motion sensor can be placed some distance away since the HMD is connected with the PC wirelessly.
Використання мобільних додатків у процесі навчання вищої математики студентів технічних університетів

Nowadays the interest in integrating mobile applications into the learning process increases rapidly, so we need such teaching methods to facilitate and accelerate the knowledge transfer to students, intensify the process of learning, teach them techniques for independent work with the material, increase the productivity of learning and teacher's work. Such teaching methods can be implemented through the use of mobile information technology in education. Mobile technology can make the learning process more interesting, meeting today's requirements, providing the right information at the right time. The article considers the concept of «mobile learning», analyzes the features and directions of its use in modern education. It is noted that the use of mobile electronic devices and applications in higher mathematics allows checking quickly the solution, to draw the chart in a few minutes as well as to apply them to distance learning, which greatly facilitates and accelerates knowledge, increases students' productivity and independent work. Despite the widespread use and availability of mobile phones among students, mobile learning is not widespread in native universities. The article defines didactic principles to which mobile applications should correspond, and also the attention is paid to the basic advantages and disadvantages of the mobile applications use in the learning process of higher mathematics.
Artificial Intelligence Based On Image Caption Generation

Artificial Intelligence is doing great progress in all factors, so automatically detecting the content of an image is a basic and important problem in AI fields that deals with computer sight and natural language processing. The paper is a study about the model based on a deep recurrent architecture that interacts with the recent advances in done in image captioning in computer sectors and machine translation fields and that can be used to produce natural sentences that gives detailed information of an image. Image captioning is a piece of work that requires the understanding of images and the awareness of producing correct description sentences with proper and suitable structure by extracting the features of image. In this study, we try to understand a hybrid system describing the use of Convolutional Neural Network (CNN) to generate an accurate description of the images and make the use of an LSTM to accurately arrange the meaningful sentences using the removed or extracted keywords. CNN checks the similarity in the target image with a large dataset of training images and tries to generate an accurate description using the trained captions.
Influence of Media Education, Discipline and Family Environment on Student Learning Motivation

This study aims to identify and analyze 1.Influence Of Media Learning on Student Motivation, Learning Discipline 2. Effect on Student Motivation, 3. Influence of Family Environment on Student Motivation and 4. Effect of Media Education, Learning Discipline, and Family Environment to Motivation Student. The purpose of this study is to acquire knowledge and test theories about the media that is used as a supporting tool during the teaching and learning activities take place also the level of discipline students for learning and neighborhood parents who play a role in students' everyday so that it affects the learning motivation.