Reviewerly/exHarmony huggingface dataset:
DIGITAL TEXTBOOK: A STATE OF THE ART RESOURCE TO INCREASE LEARNERS’ ACHIEVEMENT

Technology has triggered the appearance of digital textbook in education especially in English. Digital textbook is an electronic version of printed books which has been popular in education. Several related studies had confirmed the advantages of using digital textbook for ESL learners. This study was conducted to explore the effectiveness of digital textbook in increasing learners’ proficiency in English. The study with fifty seven participants was a true experimental research which applied pretest-posttest control group design. Having two groups of participants (experimental and control), this research was conducted by selecting the participants randomly, administering pretest, giving treatment, administering posttest, analyzing the data and interpreting the results. This research found that even though data was not normally distributed, the data still had the same variances. Therefore, the independent t-test in this research used Wilcoxon Signed Rank Test. The results discovered that the t value was 0.30 which was lower than 0.050. It indicated that the treatment was significantly effective in this research. In other words, this research revealed that digital textbook had contributed positively to the learners’ English achievement as it was seen from the better performance of the experimental group than the control group.
LACLICHEV: Exploring the History of Climate Change in Latin America Within Newspapers Digital Collections

This paper introduces LACLICHEV (Latin American Climate Change Evolution platform), a data collections exploration environment for exploring historical newspapers searching for articles reporting meteorological events. LACLICHEV is based on data collections’ exploration techniques combined with information retrieval, data analytics, and geographic querying and visualization. This environment provides tools for curating, exploring and analyzing historical newspapers articles, their description and location, and the vocabularies used for referring to meteorological events. The objective being to understand the content of newspapers and identifying possible patterns and models that can build a view of the history of climate change in the Latin American region.
METODE DEFUZZIFIKASI ARTIFICIAL NEURAL NETWORK UNTUK KLASIFIKASI PENGGUNAAN LAHAN

Artificial neural network is a non-parametric approach which does not require class statistical distribution to be described normally, the advantages of non-parametric approach are its ability to combine septral data and non-spectral data, which is assumed by adding non-spectral data, the resulting accuracy also increased. The method used in this study is a fuzzy logic-based approach with defuzzification using an artificial neural network algorithm. The input spectral data were taken from the ALOS AVNIR-2 image and non-spectral data in the form of slope, soil solum and image texture. This study resulted in an overall accuracy and kappa index that was not good or proper, however the results were still acceptable. The results of the overall accuracy calculation for the 14 land use classes of the artificial neural network defuzzification process involving spectral data only (4 bands ALOS AVNIR-2) were 55% and the kappa index was 0.51. Meanwhile, when non-spectral data such as slope slope, soil solution and image texture are involved as input, the accuracy decreases in 14 land use classes, with an overall accuracy of 40% and a kappa index of 0.35 where the input slope and soil solum are interpolated in the software. ArcGIS first, while the one that was directly interpolated in the Idrisi Selva software, the overall accuracy was 49.75% and the kappa index was 0.45%.
POTRET PEMBELAJARAN DARING MATAKULIAH KAJIAN KEBAHASAAN DI PGSD FIP UNIMED

The purpose of this study is to describe the implementation of online learning for the even semester 2020/2021 Language Studies course in the PGSD FIP UNIMED study program. This research is a qualitative descriptive study. The population used in this study were all second semester students who took the Language Studies course at the PGSD FIP UNIMED Study Program. Samples were taken involving 187 respondents. The instrument used in the study was an online questionnaire with a google form. The data analysis technique was carried out by qualitative analysis with 4 stages of activities, including: data collection, data reduction, data presentation, and drawing conclusions. The results showed: (1) the average score of the teaching and learning process is 4.11 (Good), (2) the average score of capability/competence of lecturers is 4.28 (Good), (3) the average score of supporting facilities and infrastructure is 3 ,93 (Good), and (4) the most dominant challenge is the need to improve IT skills and effectiveness in time management. Keywords: online learning, language studies, PGSD.
Penerapan Business Intelligence pada Data Cuaca Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)

As systems and methods that analyze data, Business Intelligence aims to gain insight. BMKG Kota Balikpapan has an obstacle in data management which takes almost two days. Data management consists of data processing, data analysis, data storage, and data accessing. BMKG Kota Balikpapan's problem can be answered by using Pentaho which is a proper tool for presenting the information from data management processes to gain knowledge. Business Intelligence implementation was performed by adopting a business intelligence roadmap: the business analysis phase, design phase, construction phase, and deployment phase. In conclusion, weather data processing into normal data by Pentaho has been done successfully. Normal data consists of normal data of rainfall, temperature, and humidity, which will be displayed on the dashboard created using Pentaho. The dashboard was displayed on the website localhost that has been built by using the MySQL database as a data storage and Pentaho in conducting the analysis and creation of the dashboard. Forecast for average temperature data in January 2019 also has been done by using Weka. The results of the comparison of original data and forecasting data showed a difference of 0.0573. The comparison of the data shows that Weka can be used as an alternative tool for BMKG of Balikpapan to weather forecasts.
MASK DETECTION SYSTEM FOR COVID-19 SCENARIO USING COMPUTER VISION

The new pandemic of (Coronavirus Disease-2019) COVID-19 continues to spread worldwide. Every potential sector is experiencing a decline in growth. (World Health Organization) WHO suggests that Wearing Face Mask can reduce the impact of COVID-19. So, This Paper Proposed a system that controls the growth of COVID-19 by finding individuals who don't wear masks in populated areas like malls, markets where all public places are under surveillance with closed-circuit television cameras (CCTV). When a person without a mask is found, the corresponding authority is informed by the CCTV network. And it can calculate the number of people that do not wear the mask and emit an audible signal to inform the authority. A deep learning module is trained on a dataset composed of images of people wearing different types of masks and people without masks collected from various sources. It also contains some confusing images that help the model to achieve greater precision than other models. This model will use the dataset to build a COVID-19 face mask detector with computer vision using Computer Vision. This approach allowed extracting even the details from the pixels
Motivation of high school students - factor in the formation of geography specific skills in the context of scientific thinking

The purpose of this article is to highlight the most important aspect aimed at the formation of geography-specific skills in high school students, namely the motivation to learn in the context of the current health crisis. Currently, learning geography is based on the independent work of the student, according to the current methodology, as a result the student becomes his own teacher following the formation of his personality. In the first part of the article we mentioned the perception of learning motivation, in a school context current , by defining according to some authors, and in the second part the role of motivation in the formation of geographical skills in high school students. In this context, the teacher is the main agent of change in the education system, it is a model of learning for students, a model of motivation for all types of learning and the determining element in forming the geographical skills of students inside and outside the school. It must have a different approach depending on the situation and the motivation problems of the students which are diverse and different.
Detection of Breast Cancer using Pattern Recognition

Computer-aided decision or detection systems which support plan to progress for screening programs of bosom breast cancer by helping radiologists to assess DM (Digital mammography). Regularly such techniques continue in two stages: choice of applicant areas for harm, further characterization as both malignant or benign or normal. The study, utilised as a candidate detection method which is built on deep learning to impulsively identify and also to identify segment soft tissue lesions in Digital Mammogram. A recent study on PNN (probabilistic neural network) training algorithm is predictable. The standard PNN, however requiring an exceptionally short preparing time, when executed displays the downsides of being costly in terms of classification time and of challenging an unimpeded amount of units. The commended alteration disables the concluding disadvantage by introducing a removal measure to evade the storing of excessive patterns. The contortion in the bulk estimation presented by this standard is made up for by a cross-validation technique to adjust the system parameters. The proposed algorithm makes it conceivable to understand the PNN and simultaneously, makes up for certain deficiencies emerging from the hypothetical premise of the PNN, which doesn’t perform well with small training sets and classifies the image into malign, benign or not.
ANALYSIS OF THE ABILITIES OF TERBUKA UNIVERSITY STUDENTS IN SUMMARY OF MODULE YEAR 2020/2021 (Study of Student of Science Semester 1 UT Medan)

The problem examined in this study is to determine the ability of UT students to summarize a reading in the lecture module. The problem that arises is the lack of students' ability to summarize the module. The population in this study were all 1st semester PGSD students in the field of UT Medan. This type of research is quantitative research in which this research is used to examine a particular population or sample, with sampling generally carried out randomly, data collection using research instruments, data analysis is quantitative or statistical in order to test the hypothesis that has been applied.
Simulating Quantum Particles on a Lattice

A new quantum simulator uses microwave photons in a superconducting cavity to simulate particles on a lattice similar to those found in superconductors or atomic nuclei.
Prediction of Polarity in Online News Articles

The importance of online news articles has evolved with the advancement of information and technology.How people gather information, shape their views, and engage with topics of relevance has been increased by the internet.Thus news articles become important sources and play a significant role in shaping personal and public opinion.Predicting polarity in news articles becomes crucial to have a well-balanced understanding of any event.Using aspectbased sentiment analysis, the application predicts sentiments attached to various aspects of a particular Hindi news article.Our approach consists of sentence identification using POS tagging techniques followed by aspect extraction using unsupervised learning algorithms and finally predicting the sentiments of the aspects using sentiment analysis.The predicted sentiments would be displayed in a user-friendly format so that the users can easily understand them.Existing systems work on the English language unlike our approach for sentiment analysis
Identifying Elusive Prehistoric Land Use by Integrating Electromagnetic and Invasive Survey Approaches

– Electromagnetic induction survey was used to investigate the prehistoric landscape at Stonehenge. – Borehole logs and forward modelling were used to develop a semi-automated interpretation scheme. – Twenty excavations enabled the potential and limitations of the approach to be evaluated.
I. I. Gornostaev – architect, art historian, teacher: to the 200th anniversary of the birth

The theme of preserving national culture is associated with the work of the famous architect and art historian Ivan Ivanovich Gornostaev (1821–1874), who popularized Russian culture and its unique originality. The article examines the activities of I. I. Gornostaev as the architect of the Imperial Public Library (his main works are a special room for storing incunabula («Faust’s Cabinet») and the New Reading Room (together with the architect V. I. Sobolshchikov)), as well as Saint-Petersburg University (according to his designs, a building was built for a botanical laboratory with a greenhouse, and the building was rebuilt «for playing ball» to accommodate a library, a physics study and an observatory there). He is the author of two projects – the Iversky Cathedral of the NikoloBabaevsky Monastery and the Kazan Cathedral of the Transfiguration Ust Medveditsky Monastery. Reflected his achievements in teaching as the author of the first systematic course in the history of fine arts in Russia. The role of I. I. Gornostaev in the study of the history of art of the Ancient World, the Middle Ages and the Renaissance is shown.
Technology use in Government School Libraries in Medellin, Colombia

School libraries have been widely studied in Colombia from infrastructure capacities to their importance in educational institutions. However, these studies have failed to illustrate librarians’ perceptions of technologies, their adoption and how students use technologies within their schools. This research presents a new approach to school libraries in Colombia by identifying technology adoption, use and use of open source materials within public school libraries using a mixed-methods approach. Results reveal low technology adoption among school librarians and high use for students in social media and mobile devices.
Correlation between the ninth grade students’ learning habitand reading comprehension junior high school

The results of this research are expected to help the students to know themselves about their learning habits. Give information to the English teachers about students’ characteristics, especially about learning. So, they can anticipate it.And also to know the students’ ability in reading.This study is quantitative research with correlation research design. The correlation study is a study that involves collecting data in order to determine the degree to which a relationship exists between two or more variables. The result showed that the value of the coefficient correlation between Students’ Habits (X1) and Reading Comprehension (Y) for -0.011. Sig. Value 0.923 was higher than Alpha value 0.05 (0.923 &amp;gt;0,2213).
MSB BASED IMAGE STEGANOGRAPHY USING MCELIECE CRYPTOSYSTEM

Steganography is the science of embedding secret data inside data so they can be sent to destination security. Encryption algorithms used to save information from sly activities when sent from one device to another over the wireless network. In this paper McEliece will be used to text encryption by Goppa code, where McEliece cryptosystem is a public-key cryptosystem based on error-correcting codes; then embedding the ciphertext as steganography image by MSB method. This lead to save information from attackers.
KBART Phase III: Unresolved questions

During the “NISO update” session at the NISO Plus 2021 conference, which took place online due to the COVID-19 pandemic, members of the KBART (Knowledge Base and Related Tools) Standing Committee presented their plans and work toward KBART Phase III, a revision of the KBART Recommended Practice. In an interactive breakout session, they sought input from attendees on how KBART is being used and what new content types it should support. Presenters from the KBART Standing Committee were Noah Levin (Independent Professional), Stephanie Doellinger (OCLC, Inc.), Robert Heaton (Utah State University), and Andrée Rathemacher (University of Rhode Island). Assisting them in preparing the presentation were Jason Friedman (Canadian Research Knowledge Network), Sheri Meares (EBSCO Information Services), Benjamin Johnson (ProQuest), Elif Eryilmaz-Sigwarth (Springer Nature), and Nettie Lagace (NISO).
DESAIN DAN UJI COBA LEMBAR KERJA PESERTA DIDIK ELEKTRONIK (E-LKPD) BERBASIS DAILY LIFE PADA MATERI HIDROKARBON

Abstract The lack of media variation used constituted a background of this research.  Student concept comprehension was not yet supported, and the media often used were student conventional workbook and exercises. This research aimed at developing daily life-based student electronic workbook on Hydrocarbon Compounds lesson by using Borg and Gall development model to know validity and practicality levels of the workbook.  It was Research and Development (R&D). 5 of 10 steps in Borg and Gall development model were used in this research, they were collecting data, planning, developing a product, preliminary testing.  Testing was conducted to a chemistry subject teacher and 10 of the eleventh-grade students of MIPA at Senior High School of Islam As-Shofa Pekanbaru.  The data obtained were analyzed by using qualitative and quantitative descriptive analysis techniques.  Daily life-based student electronic workbook on Hydrocarbon Compounds lesson was tested very valid with the percentages 90% by media experts and 92% by material experts, the percentage of practicality test by teacher was 91.42%, and the workbook got good student responses.  Based on these findings, it could be concluded that daily life-based student electronic workbook on Hydrocarbon Compounds lesson was valid and practical, so it was proper to be used as a learning media at school. Keywords:    Student Electronic Workbook, Daily Life, Hydrocarbon Compounds Lesson
Evaluating a Bayesian Network to Predict Customer Satisfaction in Scrum Software Development Projects: An Empirical Study with One Company

Using knowledge-based systems for helping agile teams to improve their performance is not a fact in the industry.In previous work, we have presented Kaizen, a knowledge-based Bayesian network for assisting Scrum teams in diagnosing their value stream in light of the predicted Customer Satisfaction and, consequently, improve their performance.This study assesses Kaizen's accuracy to predict Customer Satisfaction using realworld data.We adopted Kaizen for one software development company and collected data from 18 projects using an online questionnaire.We collected two types of data: inputs for Kaizen and the expected Customer satisfaction.We used the first type of collected data as inputs for Kaizen to calculate the predicted Customer satisfaction.Then, we assessed Kaizen's accuracy by comparing the predicted (i.e., calculated) and expected (i.e., collected) Customer satisfaction using face value and the average Brier score.Considering the face value, Kaizen predicted Customer Satisfaction correctly for 14 out of the 18 projects.The average Brier Score was 0.16.The model predicts, with satisfactory accuracy, the Customer Satisfaction and systemizes the process for Scrum teams to self-diagnose, enabling for causal analysis and supporting their continuous improvement.
Changing the Content of the Subject of Technology

Creation is an important reflection of the internal and external world of the pupil, an expression of his or her own individuality.When a child creates, he or she expresses his or her feelings, attitudes toward the surrounding world, and what lies within the child: feelings, experiences, thoughts, wishes, needs, objectives and dreams.Thus, the lessons of technology form the perfect environment to stimulate the creative origins of pupils and develop their creativity.The vertical questionnaire survey has been carried out in May -June 2017, in order to clarify the issues of technology subject while developing the technological competencies of different genders (boys and girls) having a direct impact on personal development, to find out the most evaluated programme of technology subject by pupils and the effect of learning according to one or another programme in a mixed or non-mixed group to learning motivation and wish to learn technology.After having analysed the common programmes of basic technological education, it was found out that definition -"suitable for all pupils regardless of gender" showed many didactic and psychological gaps of the programme, as well as serious objections to reality.The programme lacks attention to pupil's growth as healthy personality.Therefore, in order to educate technologically literate, curious, thinking, creative, proactive, responsible and comprehensively healthy personality, it is necessary to consider the natural qualities of pupils, development of boys and girls age phases, psychological and physiologic meaning, flights and abilities, create the opportunities for all pupils (considering the gender) to learn various technologies.The carried-out survey showed that the textile programme is the least valued by pupils (18,8%); the programme of constructional materials is also less valued (29,6%).A relatively large number of pupils (40,3%) think that learning motivation is stronger and the results are better during the learning of technology in a non-mixed group.Equal distribution of all programmes without dividing boys and girls by their gender, as specified in common programmes, is not logical.Girls need more time to learn in the textile division, in order to be more feminine.To become more masculine, boys should devote more time to the division of construction materials.The assessment of various technological programmes (nutrition, construction materials, textiles), in the pupils' opinion, showed that the natural qualities of boys (as men) and girls (as women) are educated only partially.Therefore, the pupil is not educated as a personality.
THE IMPLEMENTATION OF TOEFL PRACTICUM CLASS TOWARD THE RESULT OF STUDENTS’ TOEFL SCORE IN ENGLISH AND LITERATURE DEPARTMENT

The policy of many universities regarding to the mandatory of TOEFL test for students has become a new discourse in academic circles, especially from the student's perspective. Although the standards set by each university are different, there are some similar conditions faced by students in meeting these standards such as, TOEFL becoming a burden for students, particularly those with limited English skills, moreover, it is increasing the cost of study by requiring students to pay for the test execution cost. Therefore, in line with this policy, the campus must provide support so that each student can meet the expected qualifications. This study aims to describe how the TOEFL Practicum Class is organized by the English language and literature department to help students meet the TOEFL standard set by the campus, which is 500. The experimental method in this research uses a type of research design with a pretest-posttest control design method, and the total sample used was 64 students from the fifth semester of English and literature department. this study consists of 3 stages, namely preparation stage, implementation stage and final or evaluation. stages. Based on the findings regarding to the effectiveness of the TOEFL Practicum Class implementation, it can be seen from the results of the pre-test and post-test means score, which seems to have increased toward the score of the students.