Reviewerly/exHarmony huggingface dataset:
Bilingual education and second language teaching problems in the education systemsystem

Language and education are inseparable twins. Language, as an important tool in all areas of life, has a great impact. It is the backbone of the educational process, and plays an important role in the development of general knowledge on language and general knowledge of students as well. If we exclude language from the educational process, education will be paralyzed, and education as an important field has a great role in building all the other areas of life, how to deal with language and education ,needs attention to careful decisions, wise decisions, appropriate policies and plans, learning second language education before the age of 10-12 years, there are a number of educational, psychological, social, language, etc. problems., psychological, social, linguistic and other problems, however, learning and teaching a foreign language has particular importance, however, should be directed and supervised, at the appropriate age and time, and used in accordance with appropriate language and educational plans and policies, the negative effects must not exceed the benefits nor should they have a negative impact on the mother tongue.
A Study on the Word “Sleeve” in Japanese Waka

This study analysed the word "sleeve" in the waka poem of "The Tale of Genji", using natural language processing and text analysis methods, mainly studied the frequency and distribution of "sleeve" and the role of "sleeves" under different classifications.Results show that "sleeve" is one of the most frequently occurring nouns in "The Tale of Genji", and the frequency of occurrence is second only to "heart", "people", "flower", and "world", ranking No. 5 among all nouns.Furthermore, in different contexts, the usage of "sleeve" is also different.It can be mainly divided into two categories.The first category is that "sleeve" appears alone and has no strong correlation with other words.The other category is that "sleeve" is strongly related to other words and express different meanings and contexts together with different words.This study further enriched the study of Japanese poetic imagery, and helped us research on Japanese poetry to better understand the Japanese spiritual world.
Using irreducible polynomials for random number generation

A method is presented for generating random numbers with uniform distribution using linear recurrence sequences with very large period lengths.This method requires an irreducible polynomial modulo 2 to define the sequence.A suitable method for generating an infinite number of such polynomials is presented.The polynomials generated in this way can have an arbitrarily large degree, and a large enough order to make them suitable for practical applications.
The Capability of Students to Collect Materials for Course Presentations Based on Project Learning

This study evaluated students' abilities in compiling lecture presentation materials based on project learning. The study was carried out at the Doctor of Education Program, FKIP Universitas Bengkulu. The subjects of this study were students of the doctoral program at FKIP Universitas Bengkulu who were taking the Leadership Development and Decission Making course. The results obtained, indicate that first, the ability of students to prepare lecture presentation materials for class meetings with a PjBL approach varies, and some of them do not even reflect the ideal PjBL. Second, there are still some gaps between their theoretical thinking and the reality on the ground to realize effective project-based learning. Third, the ideal PjBL model to be applied in fulfilling lecture achievements is only possible if there is sufficient time available, using a flexible academic calendar, and the participation of related parties.
Teachers’ Impoliteness Strategies in Providing Feedback in a Microteaching Class

The study discusses the impoliteness strategies used by the lecturers when giving feedback to the student-teachers in Microteaching classes. This study adopted a qualitative approach with a documentary analysis design. Data were gathered through recorded classroom interaction from eight microteaching classes when the lecturers gave comments and feedback to the student-teachers. Data were analyzed by using the theory of linguistic impoliteness strategies proposed by Culpeper (2005, 2011). This study's findings show that the lecturers employed positive, negative, and off-record impoliteness strategies when they give comments and feedback on student-teachers’ teaching performances. The significant findings of this study show three types of impoliteness strategies employed by the lecturers. Firstly, a positive impoliteness strategy was manifested in three strategies: using inappropriate identity markers, seeking disagreement, and using a derogatory name to call the hearer’s name. Secondly, the negative impoliteness strategy was realized in three strategies, such as frightening-instill a belief that action detrimental to others will occur, condescending, scorn, or ridicule in three forms, by emphasizing power, using diminutive to hearer's position, and by belittling, and explicitly associating hearer with negative aspects. Lastly, off-record politeness was found in two different strategies: criticizing-dispraise hearer and hindering-deny turn. This study demonstrates that the lecturers need to consider their utterances in giving comments and feedback to student-teacher because they can impact unpleasant feelings on the lecturers personally and demotivate the students to gain teaching skills better.
SEDIMENTARY MANGANESE DEPOSITS IN CARAJÁS, BRAZIL

The Carajás Mineral Province in Brazil is actually one of the most important in the world because it contains world-class mineral deposits (Fe, Cu, Au, Ni and Mn), partly enriched by lateritic weathering (Fe, Mn, Ni). It carries at least four manganese ore deposits: Azul, Buritirama, Sereno-Conquista and Buriti, of these Azul and Buritirama are productive mines. The Azul deposit is the earliest known and was initially considered as typically lateritic. Further studies show that much of the reserves are classically associated with carbonaceous gray to black mineralized shales and enriched in manganese oxyhydroxides, where cryptomelane is the major ore mineral, enveloped by thick packets of red siltstones and sandstones of lower age Proterozoic (around 2.1 Ga). The mineralogical composition of rocks and ore, isotopic data, abundance of carbonaceous organic matter and the presence of stromatolite structures show deposition in a shallow platform, where the source of manganese and associated metals were mainly of ocean hydrothermal origin, while the sediments of the rocks would have a main continental source from Archean rocks. Rhodochrosite is restricted and diagenetic, likely pyrite. Tectonic deformations reached the whole package and provided environment and structures for remobilization and reprecipitation of Mn-oxyhydroxides of high content and crystallinity. These two types of ores were the source of lateritic ore and colluvionary, already practically depleted
Scientific production on digital competencies in higher education: a bibliometric study

Digital Technology has attracted the scientific community’s interest in investigating the theme concerning professors’ performance. This study investigates the scientific production of digital competencies in higher education. Bibliometric research was carried out of quantitative nature and of exploratory character in which the publications on the theme between 2012 and 2021 were analyzed. Thirty-one (31) scientific papers were selected for analysis. It is concluded that scientific research on professors’ digital competencies contributes to the changes in Brazilian higher education.
The effectiveness of the Webtable-Datatable Conversion approach

Informatics education in Hungary is based on the National Base Curriculum (NAT) and the Frame Curricula.These documents contain the subjects (sciences), the number of classes for each subject and the requirements for each grade.According to the NAT2012, Informatics as a compulsory school subject is introduced in Grade 6.The filemanagement is among the first topics that students must learn according to the Frame Curricula.However, this is not their first encounter with filemanagent, since by the age of 12 most of the students are already active users of digital tools, and associated with the false assumptions of digital natives.Due to the late introduction, the filemanagement is one of the most neglected topics in informatics education.Nevertheless, this is one of the most important topics, since it is essential for further development in handling digital products.Our research group developed the Webtable-Datatable Conversion (WDC) highmathability method to teach filemanagement.This approach not only focuses on the main file operations but handles real world problems which require firm algorithm construction and datamanagement.The aim of the present study is to measure the effectiveness of the WDC approach with Grade 9 students, where the comparison of groups studying with the traditional and the WDC methods was carried out.
Educators' Perception Towards Early Childhood Education in Technology Integration: A Case Study

The use of technology can be integrated into early childhood education to college. Several studies explain that technology can improve the learning process in early childhood education. This study aims to investigate teachers' perceptions of the integration of technology into early childhood learning. The researcher applies a case study as a research design. The data obtained are primary. The research instrument consisted of observations, interviews, and surveys where teachers of private kindergarten schools in Bandar Lampung were research respondents. The study findings show that most teachers show a positive attitude towards using technology in the classroom and have tried to integrate it into learning activities. Meanwhile, there are two obstacles to applying technology in learning English in early childhood: maintaining their attention when using technology devices in the classroom and choosing suitable technology for children
DETEKSI WAJAH MANUSIA BERBASIS ONE STAGE DETECTOR MENGGUNAKAN METODE YOU ONLY LOOK ONCE (YOLO)

The purpose of face detection is to find the location of the face in an image; hence it can be utilized for further applications such as face recognition, finding specific faces in a video, and others.We present Algorithm You Only Look Once based on the one-stage detector approach.This algorithm divided an image into grids of a specific size, where each grid or cell represents the candidate location of the target object.The implemented architecture of the Convolutional Neural Network of this algorithm is to classify the candidate object within each grid into a face or non-face class and justify the face's location.We used the trainable VGG-16 model for the convolutional layers and trained the fully connected layers with the appropriate target label.The experiments are conducted using the WIDER Face dataset with various face objects in each image.As a result, we achieved the highest precision, recall, and f1-score are 0.253, 0.247, and 0.25
The State of Digitization of Documentary Heritage in Scientific Libraries of Ukraine

Based on the survey results of the leading scientific libraries of Ukraine, the article reveals the current trends in the digitization of library collections. The authors explore the current state of search services for digitized documents by libraries; user access modes to digital copies of documents (public, restricted, local); the ways to register the users for access to full-text digital repositories. The necessity of adopting the National Program for Digitization of Documentation Heritage and its implementation at the corporate level is substantiated. Recommendations for improving the efficiency of digitization of documents by libraries of Ukraine, improving search tools and user-friendly access to digital repositories are given.
ANALISIS PERBANDINGAN KINERJA VIRTUALISASI SERVER MENGGUNAKAN PROXMOX DAN VMWARE ESXI (STUDI KASUS : VIRTUALISASI SERVER UNTUK PENGGUNAAN MOODLE)

Server virtualization is a technology that utilizes several computers into one as a server service, so that in its use it does not use too many physical computers. Because a system that uses a virtual system where using a computer alone can provide a service to many computers at once with the virtualization system, research conducted by researchers focused on the performance of virtual servers on server software in Proxmox and VMWare ESXi software with virtual machines that access the Moodle system. However, an efficient system needs to use good software so that it facilitates research in designing the system. The test scheme carried out by the author in this study is testing the CPU load, Memory Speed, and Moodle Benchmark Plugin on the Virtual Machine which contains Moodle in Proxmox and VMWare ESXi as a virtual server used in Moodle e-Learning as well as benchmarking on moodle itself. This study aims to analyze the performance of virtual server service provider software in the online learning management system to find out its advantages and disadvantages so as to make it easier for educational institutions to choose virtual server provider software, especially in Proxmox and VMWare ESXi software.
PEMILIHAN KARAKTER PADA PERMAINAN MULTIPLAYER ONLINE BATTLE ARENA DENGAN METODE AHP ( ANALYTIC HIERARCHY PROCESS )

Multiplayer Online Battle Arena ( MOBA ) game is an online game where players are placed into a specified area to battle with other players to reach a goal, be it in team or individually. Nowadays, there are kinds of Multiplayer Online Battle Arena ( MOBA ) game released and free to be accessed by everyone. This is causing developers aggressively looking for a way to compete. One of the way is releasing new characters. The impact is new players hardly choose proper character to play. Therefore, researcher will make a calculation using AHP ( Analytic Hierarchy Process ) method in choosing the proper characters to suit the player’s desire or skill. The methods will start with defining problems, determining hierarchy structures, and determining criteria as well as alternative choices. The result of the research is a decision support system to choose proper character accurately and efficiently.
The Effect of Emotion Change Puzzle Media on Visual-Spatial Intelligence for Early Childhood Education

Purpose – This study aims to determine the effect of emotion change puzzle media on visual-spatial intelligence in children aged 5-6 years at TK ABA 39 Malang City.Design/methods/approach – The method used in this study is an experimental method using a pre-experimental design by choosing an Intact-Group Comparison design. The research subjects totaled 30 children who were children aged 5-6 years in TK ABA 39 Malang City. The Analysis used in this study is a normality test, homogeneity test, and hypothesis test.Findings – The results of data analysis, and the validity test obtained. The validity test obtained the tcount test 0.053 ≥ from ttable -0.601 which means there is an increase in visual-spatial intelligence in children aged 5-6 years. The standard value of the post-test results is higher than the standard value of the post-test results, namely the experimental pre-test 7.12, pre-test control 7.38, experimental post-test 10.79, and the control post-test 10.26.Research implications/limitations – This study concluded that the emotion change puzzle media has a significant influence on the visual-spatial intelligence of children aged 5-6 years in TK ABA 39 Malang City.Practical implications – The results show that using media emotion change puzzle to children’s learning media can be done by watching animated videos telling stories about various kinds of expressions.Originality/value – This study highlight that emotion change puzzle media can be alternative learning tools that improve children’s visual-spatial intelligence.Paper type: Research paper
Classification of Twitter User Sentiments Against Government Policies in Overcoming Covid-19 in Indonesia

Sentiment classification is a field of study that analyzes a person's opinions, sentiments, judgments, evaluations, attitudes, and emotions regarding a particular topic, service, product, individual, organization, or activity. The topic that is currently being discussed is Covid-19. Covid19 is a disease caused by the corona virus, which was first identified in the city of Wuhan, China. This disease has spread throughout the world, including Indonesia. In this regard, the Indonesian government issued a policy as an effort to break the chain of the spread of the corona virus. However, this encourages the emergence of various kinds of public responses. One of them is Twitter users, there are pros and cons responses from the community in responding to government policies and causing problems, namely the difficulty of knowing positive, neutral or negative responses given by the community. Based on the explanation above, a sentiment analysis was carried out. This analysis was carried out by utilizing data from Twitter with the keywords at home, vaccines for the people of Indonesia, and PSBB, covid, covid19, covid Indonesia, vaccines Jakarta, vaccines, vaccines Restore RI, and vaccines for the sake of protecting the Republic of Indonesia. Where the data will be processed through several stages, namely preprocessing, word weighting and sentiment analysis. The results of the classification of the sentiment classification of the majority of Twitter users are neutral, namely 69.2% of the data classified as neutral sentiment, 30.1% of the data classified as positive sentiment, and 7% of the data having negative sentiment.
IOT BASED SMART CITIES EVALUATION BY CIRCULAR INTUITIONISTIC FUZZY ANALYTIC HIERARCHY PROCESS

W th the nvolvement of IoT n urban plann ng, smart c t es ncrease the qual ty of l fe and contr bute to the susta nable env ronment n ssues such as waste management, a r qual ty, transportat on ntegrat on and healthy l v ng.Thus, t s also mportant for people to evaluate smart c t es that w ll ncrease the r l v ng standards.Th s study evaluates smart c t es by ntegrat ng c rcular ntu t on st c fuzzy sets (C-IFS), wh ch s newly ntroduced to the l terature, nto the Analyt c H erarchy Process (AHP) approach.Alternat ve c t es to smart waste management, a r pollut on control, transportat on ntegrat on and smart energy consumpt on systems are ranked w th n the scope of smart c t es.
FUZZY EXTENSIONS OF AHP AND ANP: A STATE OF THE ART LITERATURE REVIEW

Analytical hierarchy process and analytical network processes have been widely used in the literature.Both AHP and ANP have been modified by using fuzzy sets.Especially, extensions of fuzzy sets have been recently used for modifying classical AHP & ANP.In this study, we provide a brief literature review on the usage of AHP & ANP, fuzzy AHP & ANP.We utilize Scopus database for the research.
Simulation of Rainfall Using Two Statistical Data Driven Models: A Study on Santhal Pargana Division of Jharkhand State, India

Although the variability and prediction of rainfall is an essential issue of the Santhal Pargana Division of the Jharkhand State but the issue is still far from its’ conclusive statement till date. Therefore, this study aimed to simulate the monthly rainfall from 1901 to 2020 using an eight-step procedure. After downloading the monthly rainfall for the Santhal Pargana Division from 1901 to 2020, the TBATS and Naive models were used to simulate the rainfall. The accuracy assessment of each model was done by using the MASE, MAE, RMSE, ME, and R. For the Naïve model, the Godda station was noticed with a comparatively high combined error. The lowest combined error was found for the Pakur station in case of Naïve models. Similar result was also obtained for the TBATS model. The TBATS was found with comparatively higher accuracy, as the combined error was less for the TBATS. The spatial assessment for the standardized rainfall varied from 84.419 mm. to 149.225 mm. For the Naïve predicted model, the rainfall was marked in between 8.133 mm. to 67.059 mm. For the TBATS fitted model, the rainfall fluctuated from the 37.127 mm. to 62.993 mm. Dumka station was noticed with comparatively low rainfall (i.e.,37.127 mm.). Deoghar and Jamtara stations were marked with a moderate rainfall. Remaining stations were marked with higher amount of rainfall for the TBATS fitted model. The Wilcoxon test proved that each model was significant at 95% confidence interval. The result produced in this research is fruitful enough to be utilized for agricultural planning in the Santhal Pargana Division of the Jharkhand state, India.&#x0D; Keywords : TBATS model; Naive model; simulation; accuracy&#x0D; &#x0D; Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember&#x0D; This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
A DECISION SUPPORT SYSTEM FOR THE OPTIMAL ALLOCATION AND DISTRIBUTION OF COVID-19 VACCINES USING ANALYTIC HIERARCHY PROCESS (AHP) AND INTEGER PROGRAMMING (IP) MODELS

As the Philippines continues to vaccinate its population to manage the spread of COVID-19, prioritizing individuals to receive vaccines with respect to the COVID-19 situation in their respective areas requires careful planning.Our study developed a location-allocation model that optimally schedules the COVID-19 vaccine rollout of a community.We applied the analytic hierarchy process (AHP) to prioritize communities in the vaccine rollout.Consequently, an integer programming (IP) model was formulated to assign individuals to their respective vaccine stations in accordance with the rollout prioritization of their community, as well as the minimum number of vaccine stations to open.The AHP-based IP model proposed in this study is implemented into a decision support system (DSS) which not only assigns individuals to vaccination stations, but is also flexible to consider different local government prioritization driven by their COVID-19 situation.Furthermore, the vaccine rollout framework in this work is applicable to other vaccine-preventable diseases (e.g., rabies, measles, etc.) should LGUs embark on adapting this approach.
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

Existing deep learning based stereo matching methods either focus on achieving optimal performances on the target dataset while with poor generalization for other datasets or focus on handling the cross-domain generalization by suppressing the domain sensitive features which results in a significant sacrifice on the performance. To tackle these problems, we propose PCW-Net, a Pyramid Combination and Warping cost volume-based network to achieve good performance on both cross-domain generalization and stereo matching accuracy on various benchmarks. In particular, our PCW-Net is designed for two purposes. First, we construct combination volumes on the upper levels of the pyramid and develop a cost volume fusion module to integrate them for initial disparity estimation. Multi-scale receptive fields can be covered by fusing multi-scale combination volumes, thus, domain-invariant features can be extracted. Second, we construct the warping volume at the last level of the pyramid for disparity refinement. The proposed warping volume can narrow down the residue searching range from the initial disparity searching range to a fine-grained one, which can dramatically alleviate the difficulty of the network to find the correct residue in an unconstrained residue searching space. When training on synthetic datasets and generalizing to unseen real datasets, our method shows strong cross-domain generalization and outperforms existing state-of-the-arts with a large margin. After fine-tuning on the real datasets, our method ranks first on KITTI 2012, second on KITTI 2015, and first on the Argoverse among all published methods as of 7, March 2022. The code will be available at https://github.com/gallenszl/PCWNet.