Reviewerly/exHarmony huggingface dataset:
Increasing Students’ Reading Comprehension through Students’ Reading Habit

Reading is one of the fundamental skills in gaining knowledge.Based on PISA data for 2018, the reading ability of students in Indonesia was in the bottom five positions.Several factors can determine success in reading comprehension, including reading habits.The research objective was to determine the correlation between reading habits and reading comprehension skills in students.The research method used was descriptive quantitative and correlation studies involving 30 respondents from class X of SMAN 1 Klapanunggal academic year 2019/2020.The data were obtained from the results of questionnaires about reading habits and reading comprehension tests which were processed using regression analysis and correlation analysis.The research findings indicate a positive and significant correlation between reading habits and reading comprehension.Thus, the better the reading habits of the students, the better the reading comprehension skills of the students.
Phased formation of subjectivity as phenomenon of development of consciousness

The problem of formation of subjectivity becomes particularly relevant in the educational system, as more attention is paid to the development of personal qualities of graduates, responsibility for their actions, social and professional activity, awareness of life position and, in general, the development of subjective position in relation to themselves and the world around them, manifested in metasubject and universal competencies and educational activities
Basement-controlled the fault nucleation and architecture of Rio do Peixe Basin, Brazil

The Rio do Peixe Basin (RPB) is part of a set of aborted rifts with NE-SW trend along the NE region of Brazil.This research integrates aeromagnetic, gravity, and seismic data with geological field data to show that the reactivation of weak basement fabric in RPB represents an inheritance of the heterogeneous intrabasement deformation, influencing fault nucleation and basin architecture.Interpretation of geophysical data allowed the identification of ductile basement structures beneath RPB and the brittle reactivations along RPB.In the basement, the weak basement fabric was identified with magnetic lineaments associated with faults identified in seismic data.The continuation of magnetic lineaments into the basin represents faults associated with the basement reactivation in the basin.Normally, the nucleation of faults on pre-existing strength anisotropies influences the fluid circulation along these faults.
Examination of Security Features in Nepali Currency of Denomination Rs. 500 and Rs. 1000 Using Video Spectral Comparator-6000

In this work, we have studied security features of Nepali currencies of denomination Rs. 500 and Rs. 1000 of recent two series with the help of Video Spectral Comparator-6000. During examination, mostly ultraviolet, normal, transmitted and oblique light are used. We found nine different security features like fluorescence, water mark, micro text, security thread, intaglio print, see through registor, emboss, optically variable ink and latent image in this work. One feature, latent image is found to be completely removed in new series of both Rs. 500 and Rs. 1000 whereas new important security feature optically variable ink is introduced in new series of Rs. 500. Besides these two features, some are unchanged while some are modified.
REAL-TIME 3D POINT CLOUD MAPPING WITH UAV LIDAR

Accurate and timely availability of LiDAR data is vital in some cases.To make maps and facilitate monitoring of any environmental changes, LiDAR systems can be designed, carried by UAV platforms that can take off without major preparation.In this study, a real-time mapping system was designed that shortens the processes of target-based flight planning, regular trajectory determination and post-flight data processing.With this developed real-time LiDAR mapping system in laboratory, data is obtained instantaneously, so that the change of the area in question can be followed and quick solutions can be produced for the detected problems. International Symposium on Applied Geoinformatics (ISAG2021)2-3 December 2021, Riga, Latvia the potential capable of providing effective data production for areas where rapid solutions are needed such as urbanization, disaster investigation and cartography.This simulation study performed in the laboratory environment will integrate to real environment UAV LiDAR systems by using GPS and IMU data in future studies.
Canva and Screencast-O-Matic Workshop for Classroom Purpose: A Community Service for Madrasah Ibtidaiyah Teachers

The pandemic has brought a lot of changes in education, as an example, distance learning has been used to facilitate young learners to learn and at the same time protect them from the spread of the Covid 19 virus. Distance learning has required teachers to be more creative in teaching so the learners can comprehend the teachers’ explanations. Workshop Canva and Screencast-O-Matic were conducted as a community service to help teachers provide more creative and interactive teaching using digital applications as learning media. It involved Madrasah Ibtidaiyah teachers in Bandung Barat. In presenting the community service process and result, descriptive qualitative was used to look at the process and interpret the result. As a result of workshop, the teachers were able to design teaching presentation by using Canva and make teaching recording. The teachers also admitted that the workshop helped them improve their digital literacy and their teaching creativity.
Model for managing the professional performance of a teacher through the use of big data

The article discusses the problem of managing the effectiveness of a teacher&amp;apos;s professional activity in the context of an increase in the speed of the processes of generating data on education in a digital educational environment. The article presents a procedural model of organizing management of the effectiveness of the teacher&amp;apos;s professional activity based on work with big data in general education, developed and approved by the Nizhny Novgorod Institute of Education Development, which is a basic component of an in-school system for assessing the quality of education, focused on the implementation of systematic work with different types and composition of data based on complex competences of teachers (professional and digital) in the field of Big Data in education. Introduced into the scientific circulation of the theory and methodology of vocational education, the concept of &amp;quot;complex professional competencies&amp;quot; in relation to teachers working with big data in education, the formation of which is a prerequisite for the implementation of effective professional activities of a teacher in a modern school. Within the framework of the project study, focused on testing the hypothesis about the conditions and mechanisms for managing the effectiveness of the teacher&amp;apos;s professional activity in the new conditions, the main approaches to the formation of complex competencies of the teacher in the field of Big Data in education have been identified, problem areas in the teacher&amp;apos;s activities have been identified that complicate the process of their formation and improvement and possible ways to eliminate them, a list of indicators of the effectiveness of the teacher&amp;apos;s professional activity in the field of Big Data in education has been determined. The practical application of the developed procedural model for managing the effectiveness of the teacher&amp;apos;s professional activity is important for creating conditions in a modern school for educational activities that fully satisfy the needs and demands of all participants in educational relations.
Edukimia - Vol. 04, No. 01 (February 2022) - Back Cover

Edukimia - Vol. 04, No. 01 (February 2022) - Back Cover
Artificial Neural Network Inference on FPGAs Using Open-Source Tools

Artificial neural networks are widely spread in the modern world. Various hardware is used for neural network inference: from CPUs and GPUs to FPGAs and ASICs. An important research area is inference acceleration. Many open-source tools have been proposed in this area. This article contains a review of a range of open-source tools for neural network inference, acceleration and hardware synthesis. Some of the tools have been selected for evaluation on an FPGA. Five neural network examples have been used as test models. Intel CPU, NVIDIA GPU and Cyclone V FPGA have been used as evaluation platforms. Results show that TVM/VTA and LeFlow tools can successfully process neural network models and run them on the FPGA. However, execution results are controversial.
Database Security in System Design High School Achievement Expertise

Surakarta City's State SMA has a variety of accomplishments. To observe these accomplishments, you will need an expert system to educate the community about the school's accomplishments, including student and teacher or educator accomplishments. It is also vital to construct the system database while creating the school achievement expert system. When creating a system, developers frequently overlook the data security element of the database. Data mapping, context diagrams, and table relations are all used in the system architecture. This research will also look at MySQL's database access rights limitations, which help control who may access the database. The authors describe a web-based school achievement expert system design based on this architecture as a source of information on accomplishment in public high schools in Surakarta. Literature research, data gathering, developing a performance expert system, and designing and security system database security procedures at Public Senior High School Surakarta are used in this study. The school accomplishment expert system at Public Senior High School Surakarta based on achievement category, achievement level, year of achievement, and the design of the school achievement expert system database in terms of database security are the study's findings
Enhancement of Ukrainian graphics and development of orthography

The article analyses an issue that is in the focus of attention in the present day: the genesis of establishment and development of Ukrainian graphics and orthography.The author outlines the interconnection existing between the abovementioned segments of linguistics and emphasises that rules and standards of the latter are caused by the defining properties of the former.The article also examines Ukrainian linguography as a realm of academic research wherein theoretical aspects of reflection of the vocal language in writing are reflected, considering the importance of taking the linguistic and cultural factor into account.Well in tune with this is the objective of the present research which is to analyse the establishment and development of graphic characters of Ukrainian language culture.The principal statement substantiates the necessity to highlight three periods in the history of Ukrainian linguography: the Old Rus period (from the 10 th to the 14 th century), the Old Ukrainian period (final quarter of the 14 th century to 18 th century), and the New Ukrainian period (lasting from the 19 th to early 21 st century), whereby the unique nature of each of these periods is described in detail.Characteristics defining the Old Rus period include distinctive interconnection with the graphics of Old Church Slavonic language as well as the existence of such varieties of script as ustav and halfustav.It has been noted that dividing the Old Ukrainian period (15 th to 16 th century) into two sub-stages is (I) due to spelling reforms implemented by Patriarch Euthymius of Tarnovo; and (II) due to to the development of book printing and a work by Meletii Smotrytskyi which stipulated for the elimination of the hitherto existent orthographic chaos; due to the appearance and rapid development of skoropys/quickwrite which helped the script enter the realm of business correspondence and everyday life; and due to the expansion of the composition and functionality of graphemics, as it then developed peculiarly Ukrainian characteristics.The article pays particular attention to the Stage III: the New Ukrainian period which is the most dramatic era, marked by numerous bans imposed upon Ukrainian writing, by attempts to russify and latinise it, but first and foremost by steadfast struggle of Ukrainians from both Dnipro River Region and from Galicia for the cause of implementation of Ukrainian graphics, linguography, and linguoculture in general.Conclusions assert that the Ukrainian system of spelling has come a long way from its emergence and development to its firm establishment and implementation -all thanks to enormous effort put in by academic researchers and cultural activists of many generations of Ukrainians.
PEMETAAN PERSEPSI INVESTOR ATAS INVESTASI REKSA DANA PUBLIK DENGAN METODE MULTIDIMENSIONAL SCALING

&lt;em&gt;&lt;span lang="EN-US"&gt;This study aims to map the position of public mutual fund products and investment managers based on the results of perceptual mapping. The samples used in this study were 5 public mutual funds and 9 investment managers in each type of public mutual fund based on the investment portfolio selected using the purposive sampling method. The method of analysis used descriptive statistical analysis and multidimensional scaling. The results of the data processing of the mutual fund product attributes are processed in Microsoft Excel which further passed through the statistical test stage of multidimensional scaling ALSCAL (Alternative Least Square Scaling) using the SPSS application. The result of the multidimensional scaling test show that the perceptual mapping is divided into 4 quadrants based on the determinant attributes of public mutual fund products. It found that 6 mutual fund products divided by Risk and Costs determinant attributes, then 6 other mutual fund products found divided by NAB/UP and return, then 4 other mutual fund products found are not divided by determinant attributes and the rest 4 other mutual fund products divided by other determinant attribute in this research.&lt;/span&gt;&lt;/em&gt;
DESAIN E-COMMERCE USAHA MIKRO KECIL MENENGAH (UMKM) BENI SCROLL ART BERBASIS ANDROID

Micro, Small and Medium Enterprises (MSMEs) are productive businesses owned by individuals and business entities that have met the criteria as micro-enterprises. Marketing and sales that occur in Beni Scroll Art's Micro, Small and Medium Enterprises, apart from directly meeting customers, are also carried out using the website. At present, many Micro, Small and Medium Enterprises are already using Android-based technology because they are more familiar, Micro, Small and Medium Enterprises that have not used Android-based information technology are that their sales have decreased and can even cause businesses to close. Solutions to the problems of Beni Srcoll Art's Micro, Small and Medium Enterprises by developing an Android-based marketing and sales transaction system. The development method used for android application development is a prototype with the following steps: communication, quick plan, modeling and quick design, quick design, construction of prototype, and deployment delivery and feedback. The purpose of this development is to facilitate marketing and sales transactions and to increase sales. The results of the research are Android-based e-commerce on Beni Scroll Art Micro, Small and Medium Enterprises.
Developing an Android-based bilingual e-glossary application of English for Specific Purposes (ESP)

One effort considered quite effective in assisting vocabulary mastery and facilitating understanding of English texts is the provision of a bilingual glossary (English-Indonesian). This glossary becomes more essential especially for non-English Department students because basically English for Specific Purposes has a higher level of difficulty than general English. This study was a design and development research, with a product cluster and research tool. There were four main stages undergone, namely preliminary study, product development, expert validation, and field-testing. The research subjects were students and lecturers in seven departments of both commerce and engineering schools at State Polytechnic of Malang. Instruments of data collection used were questionnaires, interviews, and focused group discussion. The output of the study is an android application of bilingual E-Glossary of English for Specific Purposes. There were seven fields of glossary, each of which consists of vocabulary in English, the translation or description in Indonesian language, along with example sentences in two languages. Pictures are also displayed for easy understanding of the vocabulary. Field testing proves that the E-Glossary application is quite effective in helping users in comprehending English texts better. The application is also considered attractive, easy to use, and easy to understand.
A Mixture of Gamma-Gamma, Loglogistic-Gamma Distributions for the Analysis of Heterogenous Survival Data

Survival analysis deals with failure time data. The presence of censoring makes the application of the classical parametric and nonparametric methods of survival analysis inadequate and as such need’s modifications. Parametric mixture models are applied where a single classical model may not suffice. The parametric mixture needs to be made more robust to address the heterogeneity of survival data. This paper proposed a mixture of two distributions for the analysis of survival data, the models consist of Gamma-Gamma, and Loglogistic-Gamma distributions. Data was simulated to investigate the performance of the models, and used to estimate the maximum likelihood parameters of the models by employing Expectation Maximization (EM). Parameters of the models were estimated and were all close the postulated values. Simulations were repeated to test the consistency and stability of the models through mean square error (MSE) and root mean square error (RMSE), and were all found to be stable and consistent. Real data was applied to determine the best fit among the mixture models and classical distributions using information criteria. Mixture models were found to model the data and the mixture of two different distributions gives the best fit.
A meta-analysis of the effectiveness of cogmed computerized cognitive training program on working memory

A meta-analysis of the effectiveness of cogmed computerized cognitive training program on working memory
Student Experience and Perception of Blended Learning: A Case Study on Basketball Course Delivery During the Covid-19 Pandemic

The Covid-19 pandemic has had a significant impact on education.The right learning strategy is needed to get around the situation to achieve learning objectives amid pandemic challenges.This research aims to explore the perceptions and experiences of students during basketball lectures in a blended manner.The study also compared the learning outcomes of students who attended lectures in both groups.A total of 74 students were involved as samples in the study.Students are divided into two groups: blended groups (n=42) and online groups (n=32).This research uses a qualitative and quantitative approach.Qualitative data were generated through questionnaires and group interviews, while quantitative data was generated by comparing the student's marks in the midterm exam (UTS) and final exam (UAS) between the two sample groups.The results of the different mean analyses show a significant difference in the UAS score (p<0.05).Qualitative data also showed that the majority of students tended to like blended classes (95.6%).Students consider blended classes more effective to apply to sports practice courses (95.5%).The majority of students in the blended class also claimed to be satisfied with the marks obtained (82.2%).Therefore, the blended learning model is suitably applied in pandemic covid-19 to optimize learning outcomes while paying attention to health and safety protocols.
Fuzzy Analysis Determining The Criteria of Recipients for Liable Housing Using Sugeno Method

The house is the most important part in human life, a comfortable home will produce peace of mind and soul to carry out daily life. Currently, many rural communities have houses in poor conditions or are not suitable for occupancy, so the government provides housing assistance to be repaired to make it better and more durable. The problem that occurs is that there is no knowledge system in determining people who are entitled to housing assistance according to predetermined criteria. The purpose of this study is to help make it easier to select the right community to receive assistance in the form of a system. The settlement of this case uses the Sugeno method with the output results in the form of values 0 and 1. The variables used in this study are 4, namely family cards, identity cards, land ownership rights and house conditions, output in the form of systems in decision making.
Trajectory clustering for the classification of eye-tracking users with motor disorders

This paper presents a pilot study completed in the framework of the INTERAAC project. The aim of the project is to develop a new human-computer interaction (HCI) solution based on eye-gaze estimation from webcam images for people with motor disorders such as cerebral palsy, neurodegenerative diseases, and spinal cord injury that are otherwise unable to use a keyboard or mouse. In this study, we analyzed cursor trajectories recorded during the experiment and validated that users with different diseases can be automatically classified in groups based on trajectory metrics. For the clustering, Ward's method was used. The metrics are based on speed and acceleration statistics from full filtered tracks. The results show that the participants can be grouped into two main clusters. The main contribution of this work is the evaluation of the clustering techniques applied to eye-gaze trajectories for the automatic classification of users diseases based on a real experiment carried with the help of three clinical partners in Spain.
Book trading in the structure of book study: the evolution of ideas

The article describes the evolution of views of leading scientists in the field of bibliology regarding the book trade. It focuses on the concepts created by some of the founders of bibliology such as N. Lisowski, A. Lovyagin, M. Kufaev. Views on book trade presented in the works of Soviet book specialists in the 1920s—30s (M. Shchelkunov, N. Somov, A. Mézières) are also outlined. Attention is given to the discussion of the structure of bibliological sciences as a comprehensive science, as well as the place that book trade occupies within it in the period of the "rebirth" of bibliology. Furthermore, the article analyzes the place of book trade in the functional concepts of bibliology created by A. Barsuk. It also focuses on the role of book trade in the writings of J. Morgenstern, E. Nemirovsky, and in M. Nyzovyi four-component structure of book science. The views on book trade within the systematic-typological concepts of bibliology by A. Belovickaya are also considered. The article also defines the place of book trade in the documentional conception (Yu. Stolyarov, A. Shvetsova-Vodka) and presents the views on this phenomenon reflected in the works of M. Raz and V. Markova. The analysis of the aforementioned reflections on the book trade as an object of bibliographic research allows the author to conclude that in the conceptions of leading scholars it is regarded as a part of book sciences (traditional bibliology), as a communication intermediary in documental communication (documental concept), and as a communication intermediary in book communications (socio-communicative approach). Finally, the article identifies the prospects of further studies for scientific research on the e-book trade.