Reviewerly/exHarmony huggingface dataset:
Librarian Authors Appear to Favour Open Access Journals, while Academic Authors Appear to Favour Non-Open Access Journals

A Review of: Chang, Y.-W. (2017). Comparative study of characteristics of authors between open access and non-open access journals in library and information science. Library &amp; Information Science Research, 39(1), 8-15. https://doi.org/10.1016/j.lisr.2017.01.002 Abstract Objective – To compare the characteristics of authors publishing in open access and non-open access library and information science (LIS) journals. Design – Comparative analysis of published journal articles. Setting – Academic journals. Subjects – Articles published in selected LIS journals between 2008-2013. Methods – Journals included in the Library Science and Information Science category in the 2012 edition of Journal Citation Reports and those listed in the Library and Information Science category of the Directory of Open Access Journals as of May 2013 were included in the analysis. Articles were examined and coded for author occupation, academic rank, and type of collaboration. Main Results – The author analyzed 1,807 articles from 20 open access journals and 1,665 articles from 13 non-open access journals. An unknown number of articles were excluded because they lacked required author information. Over half (53.9%) of the authors who published in the open access journals were practitioners. Over half (58.1%) of the authors who published in the non-open access journals were academics. Librarian-librarian collaboration was the most common type (38.6%) of collaboration found in the open access journals. Academic-academic collaboration was the most common type (34.1%) of collaboration found in the non-open access journals. Collaboration between librarians and academics was seen in 20.5% of open access articles and 13.2% of non-open access articles. Conclusion – In general, librarian-authored research was found more often in open access journals, while the “latest research topics and ideas” (p. 14) were found most often in non-open access journals.
Project-based STEM-courses for engineering students

One of the world-recognized practices of modern higher education is the application of problem-based and project-based approaches to teaching STEM-disciplines. In case of integration of problem-based and project-based learning, the educational process is organized around the problem to be solved by students and stimulates them to find optimal strategies for solving, and project activities are chosen as a way of organizing work. The article describes the ongoing experience of implementation of project-based STEM-courses "Hydro- and Gas Dynamics" and "Applied Mechanics and Fundamentals of Design", which is part of training of engineering students of 151 Automation and Computer-integrated technologies speciality at the Bohdan Khmelnytskyy National University of Cherkasy during 2017-2019 academic years. The impact of problem-based and project-based approaches to teaching STEM-disciplines on the formation of professional and general competencies of future engineers had been analyzed. The dynamics of changes of personal and interpersonal skills of junior students during the teamwork on mono- and multidisciplinary projects had been studied. The case study method was chosen as the general research method, which corresponds to the number of research participants and the active role of researchers in the educational process. The results of surveys developed using the 5-point Likert scale, demonstrates that students mostly positively evaluate the projects and teamwork. The possibility of self-grouping, which made possible to form teams based on common interests and promote freer and more natural communication within the team, was the important factor of positive perception of project work. The disadvantages of the implemented approaches include the difficulties that manifested itself at the stage of students' planning of the project process. One of the reasons for this is the lack of previous experience in the realization of students' team projects. The introduction of multidisciplinary projects made it possible to optimize the workload of students working simultaneously on a project in two disciplines and increase the motivation to study the disciplines of the STEM cycle.
PENGEMBANGAN LEMBAR KERJA SISWA ( LKS ) TEMA LINGKUNGAN SAHABAT KITA DI KELAS V ( LIMA ) SD MUHAMMADIYAH SANGATTA UTARA

The ability of teachers to create an atmosphere of learning that is conducive, effective and fun is one part of the professional competence of educators. The use of student worksheets in the teaching and learning process is one of the main choices for a teacher in arousing interest, motivation and stimulation of learning activities.&#x0D; The aim of this research is to produce a Worksheet product for the Themes of the Environment Around Us, the Human Themes and the 5th grade elementary school environment that are suitable for use in the learning process. The type of this research uses research and development methods or commonly referred to as research and development.&#x0D; This study uses the Borg and Gall development research procedure which consists of nine steps namely, gathering initial information, planning, developing initial product formats, initial trials, product revisions, field trials, product revisions, field trials, and final product revisions.&#x0D; The results showed that the Worksheet Product Students Environmental Themes Around Us Sub Themes Human and Environmental grade V SD used had very good eligibility. This finding is supported by field facts where the material expert validation obtained a score of 90.00%, the media expert validation obtained 92.63%, the linguist validation was 92.7%, the student questionnaire assessment on the field test was 92.4%, and the mean score was The average daily test for students increased by 12.50% from 71.96 to 84.46.
Prediction of the Chances of Death in Covid-19 Data Using the Poisson Process

Covid-19 has brought about major changes for all people in various countries, for example creating vaccines, wearing masks and predicting the predictive state of death that will occur. In this paper, we will predict cases of covid-19 deaths using data taken from the worldometer website by taking data on daily covid-19 deaths worldwide in the period January 23rd- April 16th, 2020. Then the data is processed using the Poisson process that has been transformed using SPSS computer programming, namely the daily mortality rate in the period January 23rd - March 16th, 2020 using descriptive statistics, it was found that the death rate was 4 people in one day, then the Kolmogorov test followed the Poisson distribution, because it met the requirements for the P-value. value . Furthermore, it is calculated by using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21 because the data has been transformed, so . the chance that no one will die within the next 45 days, namely April 30th, 2020 is close to. In the period of January 23rd - April 16th, 2020 using descriptive statistics, it was found that the death rate was 6 people in one day, then the Kolmogorov test was carried out with the results following the Poisson distribution, because it fulfilled the requirements for a P-value . Furthermore, it is calculated using the death process, which is the chance of an event with the chance of death of all the corona suspects in the next 5 days, namely April 21st, 2020 because the data has been transformed, so . The chance that no one will die within the next 45 days, namely May 31, is close to .
Analysis Of Symbols, Declarations and Punctuations Through Conversion of C Language Into English Language With Borland C++

This research with the title The analysis of symbols, punctuations and declarations in C language is analyzed accordingly by conversion in order to find the perspective of language: structuralism, meaning, and functionalism, while keeping both of English and computer subject in process for the research. This research has limitation by the chosen of platform and software with Borland C++, the source of the datum also considered to be the basic material so that this thesis doesn’t has many problems to solve.By the observation method which is followed by these three crucial problems: (1) The Identification of semiotic problem in symbols from computer language to English language, (2) The Identification of semiotic problem in declarations from computer language to English language, (3) The Identification of semiotic problem in declarations from computer language to English language. &#x0D; The implication of the problem here is how the researcher convert the C language into English language patterns.The purpose of this research is equally to identify and analyze the symbols, punctuations and declarations from the Borland C++ platform and converting it into English comprehensions. Furthermore, this research is expected to familiarize the reader with which semiotics usually use in C or programming language and what’s their significant in English language.In this research, the researcher utilizes semiotics theory and computer programming theory which these two subjects combined together and creating the subject of interdisciplinary called Computational Semiotic.
Application of Fuzzy Logic Sugeno Method for Diagnosis Yellow Fever

The Infant Mortality Rate (IMR) is one of the main components to determining the degree of health and welfare people in the country.Indonesia is quite high IMR rate compared to Southeast Asian for of yellow fever.This fever usually appears in babies called new born jaundice.Babies can experience physiological and pathological depending on the symptoms.Parents often have difficulty distinguishing the difference between normal and severe fever without further examination, so that they do wrong in the initial treatment.Responding to the problems, it is necessary to conduct research on" Application of Fuzzy Logic Sugeno Methods for Diagnosis Yellow Fever".The aim of this research to minimizing IMR because this application can be used anytime and anywhere before being taken to the hospital.Sugeno Fuzzy logic is suitable method because it is very flexible to accepts tolerance for data that is not completely correct or wrong when they confused in determining the level of severity.This application will be carried out with an evaluation by expert using UAT (User Acceptance Testing) method to validation and verification.The output of this application is able to provide information about the percentage of the severity of yellow fever, history of diagnosis so that the condition of each user who uses the system can be monitored, initial treatment solutions.
The challenges faced by english teachers in Bogotá during the pandemic in the Colombian context

This article presents the reflections and considerations from the voice of a novice English teacher, in the context of a remote teaching practice carried out in a public institution, in times of pandemic derived from the Covid 19.&#x0D; The effects of this situation on the educational environment have become a major concern as teachers and students have become involved in this new home school dynamic. Thus, attention must be paid to the effects that both the unexpected shift to online teaching and learning and the quarantine have had on teachers, students, and parents.&#x0D; This article aims to provide a perspective of a novice English teacher, highlighting the challenges faced by him/her in this pandemic circumstance in Bogotá. To develop it, a qualitative and interpretative look was adopted by the researcher, who used the teacher’s diary as a tool.&#x0D; Finally, the successes and failures of this experience in which the inexperienced teacher made an incursion mediated by technology are presented, highlighting, by way of conclusion, the commitment required from the family, the educational community and above all the student, who have developed a crucial role in the advancement of this remote education.
Professional Performance and Methodological Training of Future Musical Art Teachers: A Theoretical Approach

The problem of improving the effectiveness of performance and methodological training is one of the leading in the system of professional development of future teachers of music in higher education institutions.In this regard, the purpose of the article is to study the theoretical foundations of professional performance (vocal, instrumental) and methodological training of future musical art teachers.To achieve this goal, the following methods have been used: generalization of scientific resources, analysis of practical experience, and theoretical modeling.The performance training includes the organization of the students' work with the main instrument and voice production (during individual classroom and independent activities, in the class of the ensemble, orchestra, and choir, etc.).Methodological training is the most dynamic feature of the formation of future teachers of music art, due to active changes in regulations and trends in the field of "art".The prerequisite for the effective provision of professional training for future teachers is the integrated use of several systematically combined approaches.For vocal and instrumental training of music students, these approaches are personality-oriented, individual, and developmental, and for methodological training -competency, culturological, integration, and system approaches.Thus, the performance training of future music teachers is based on scientific approaches to personal orientation, and methodological approaches related to modern requirements and pedagogical trends in general secondary education.
Regional Frequency Analysis of Rainfall Using L-Moment Method as A Design Rainfall Prediction

Frequency analysis is a method for predicting the probability of future hydrological events based on historical data. Frequency analysis of rain data and discharge data is generally carried out using the moment method, but the moment method has a large bias, variant, and slope so that it has the potential to produce inaccurate hydrological design magnitudes. The L-moment method is a linear combination of Probability Weighted Moment which processes data in a concise and linear manner. This research was conducted that L-moment method will obtain a regional probability distribution and design rainfall which can be used as a basis for calculating hydrological planning in anticipation of disasters. The location of the study in Mount Merapi area was chosen in order to more accurately predict the maximum rainfall that could cause cold lava in the area to reduce the risk of loss to the people living around Mount Merapi. The results showed that the entire rainfall stations homogeneous and no data was released. The L-moment regional ratio results τ2R = 0.203, τ3R = 0.166, dan τ4R = 0.169. The homogeneity and heterogeneity tests show that all rainfall stations are uniform or homogeneous. No data were released from the discordance test results. Growth factor value increases in each design rainfall return periods. The regional probability distribution that is suitable for the research area is Generalized Logistic distribution with design rainfall equation has been formulated. Test model showed the minimum RBias = 0.45%, maximum RBias = 41.583%, minimum RRSME = 0.45%, and maximum RRSME = 71.01%. The stability of L-moment method showed by model test minimum error = 1.64% and maximum error = 16.60%.
Formal Verification Issues For Component-Based Development

Component-based development has made a breakthrough in software industry, it offers safer systems and easier to maintain, furthermore, costs and time to market are reduced.However, several issues, such as the correctness of component-based systems, their adaptation or the interactions between their components, require rigorous verification through the use of formal methods and tools.In this paper, we first present an introduction to component-based development; afterward we propose a classification of formal verification issues for component-based systems.
A Clinicopathological study of 110 cases of leukemia at tertiary care center

Introduction: Leukemia is a hematological disorder which needs timely diagnosis and early treatment because at initially leukemic cell burden is low.So, the chances of achieving complete remission will be highest.Aims: The present study was undertaken for correlation of patient's signs and symptoms with their laboratory findings like CBC, peripheral smear findings, immunophenotyping to know the lineage specificity and cytogenetics to know molecular abnormality.Methods and Material: The blood samples of suspected patients were received and examined at Hematology and Surgical pathology sections of Central Diagnostic Laboratory from November 2018 to June 2020.The clinical history was obtained, CBC was performed, peripheral smear and bone marrow samples were received for morphological examination and special investigations like Immunophenotyping, Cytogenetics and fish.Results: Out of the 110 cases, 17 were ALL, 33 were AML, 16 were CLL, 29 were CML.other 15 cases were distributed in acute leukemia, lymphoma, myelofibrosis and acute undifferentiated leukemia.Conclusions: Present study revealed that acute leukemia was more prevalent than chronic leukemia.The most common type of leukemia was AML followed by CML, ALL and CLL.ALL was mostly observed in children whereas CML and CLL were mostly observed in adults.AML mostly observed in adults.
How to Use Bit-string Representation of the Face in a Multi-factor Authentication System

Binary information extracted from biometrics is variable when it is generated from photographic images.If the same bitstring representation can be produced repeatedly, these bit-strings are useful for applications that require binary data (e.g., biometric cryptosystems).In this paper, multi-factor authentication using bit-string representation is proposed.For the protection of biometric information, random bits were used as the representation, and the length of the bit-string representation was decided according to the similarity level.The paper explains what "similarity enhancement" is and how to increase the similarity between images of the same person with weights added after verifying each factor in a multi-factor authentication system.Also, it discusses how to use this method in the real world and provide secret sharing using this multi-factor system.In an experiment with the Yale Face Database A and B+, it was shown that similarity enhancement could be achieved, and the same bit-string representation emerged after passing the multi-factor authentication system.
Evaluation of Satellite-Derived Solar Irradiance and Limitation in Ground Observation

Recently, satellite-derived solar irradiance data, generated by the Korea Institute of Energy Research, has been opened for public use via the Public Big Data Platform organized by the Ministry of Public Administration and Security.These data are the monthly mean of daily total irradiance for the domain with latitude between 32°N and 40°N and longitude between 124°E and 130°E with a horizontal resolution of 1 km.The purpose of this study is to evaluate the monthly mean of daily total irradiance by comparing it with the ground truth obtained from the Automated Synoptic Observing System (ASOS) in the Korea Meteorological Administration (KMA).For the investigation period, that is, from 2012 to 2019, the average value of the correlation coefficients for all stations is 0.913.In addition, the root mean square error, which is normalized to the observation, is 12.2%, which is larger than that reported in previous studies.The ground observations employed for the evaluation were not performed by data quality control system.In the Daejeon station, in-situ observation from ASOS in KMA is significantly different from the measurement that is controlled by a data quality system, which means that in-situ observation from ASOS in KMA would be dangerous for use in the evaluation.With the solar irradiance controlled by the data quality control system, the root mean square error is reduced from 15.8% to 5.3%.Therefore, it is necessary to examine the in-situ observation via data quality control for the quantitative analysis of satellite-derived solar irradiance.
Comparison Of K-Means And Hierachical Clustering Methods Performance In System Boarding Costs Selection Recommendations

The development of technology is currently getting more advanced and growing faster, especially in the field of information technology. The existence of houses in the vicinity of public facilities is very desirable and beneficial for newcomers to a new area. One of the public facilities that usually have boarding is a university or college. Students who study at a university do not only come from within the city but also come from outside the region. However, most students from outside the region have difficulty choosing boarding or rented houses due to limited information. Limited information about the facilities and the inaccuracy of boarding houses becomes a difficulty at the beginning for those who are new students. With the advancement of information technology, it can answer the need for finding a boarding house, and will be very helpful both from the side of the owner and tenant. To solve complex problems, you can use the K-Means Clustering and Hierarchical Clustering algorithm models that are optimized with naïve Bayes. The final result of this study is that the K-Means and naïve bayes accuracy values ​​are higher with 90.82% accuracy, 90.56% precision, 90.68% recall and longer time that is 10 seconds, while for hierachical and naïve values. Bayes got 88.02% accuracy, 87.82% precision, 88.00% recall and 7.6 seconds faster time
An Alternative Method Of Online Learning Using The Feynman Technique

In school learning through online during pandemic COVID-19, students facing the problems, one of which was caused by an internet connection during a learning video meeting. In addition, when online learning there are students who find difficult to understand the lesson. To increase the Sustainable Development Goal in the field of education (quality education) this study provides an alternative online learning method with the Feynman Technique. This study uses a qualitative method with the study of literature (documents) from e-journals. Journal searches are carried out Google Scholar, Academia, and Garuda. Based on the search results obtained and selected data that meets the criteria. Analysis of the literature review includes data collection, data presentation, and concluding. An alternative method of online learning using the Feynman Technique which students can teach a topic to friends or themselves until they understand the topic. With the Feynman Technique, students can be more active in the learning process and become less passive because they not only listen to the teacher explain through video meetings. By using the Feynman technique, students are required to be able to understand the context of the lesson. In this learning technique the teacher also needs to control the students to ensure whether the students really understand.The Feynman Technique makes the students to be active and increase achievementalso can save on internet expenses because it can reduce the use of learning video meetings. Communication between teachers and students can be transferred using the WhatsApp media which does not require as much internet costs as a video meeting.