Reviewerly/exHarmony huggingface dataset:
Role of Magnetic Resonance Imaging with Diffusion Sequences in Assessment of Multiple Sclerosis in Brain Versus Normally Appearing White Matter

Background:Magnetic resonance imaging (MRI) is a very vital tool to diagnose and monitor multiple sclerosis (MS). Standard MRI measures lack of pathological specificity and are weakly correlated with MS clinical manifestations. Advanced MRI techniques together with diffusion studies square measure up the understanding of the mechanisms underlying tissue injury, repair and functional adaptation in MS but, they need careful standardization. It doesn’t only enhance the understanding of the pathophysiology and evolution of disease, but also to generate research hypotheses, monitor treatment, increase cost-effectiveness and power of clinical trials. Aim of the Work: The aim of this study is to evaluate the role of DTI in assessment of MS versus the normally-appearing white matter (NAWM). Patients and Methods:The study included 50 patients, 42 females and 8 males having MS (between 20 and 40 years of age) referred from Neurologists to Radio-diagnosis Department at Benha University hospitals with 5 age-matched control subjects (during the period between Aug. 2018 and Jan. 2020). Each patient included in the study was subjected to full history taking, reviewing medical sheet and MR examination including: Conventional MR examination and Diffusion Tensor imaging. Technique was performed using a standard 1.5 Tesla unit. Results:The study showed that DTI can reveal changes in NAWM in MS cases before visible sizable plaques can be detected by conventional MRI.
Improving Students’ Writing Skill of Narrative Text by Using Think-Pair-Share Technique at Grade X.13 SMAN 5 Bukittinggi

The purpose of this research are ; first to explain how Think-Pair-Share Technique can improve students' writing skill.Second, it is to find out the factors that influence the changes of students' writing skill of Narrative text at Grade X.13 academic year 2015/2016 of SMAN 5 Bukittinggi through the use of Think-Pair-Share Technique.This reaseach is an Classroom Action Research which use qualitative and quantitative instrument to get the data.Quantitative data were analyzed from the score of test and task and qualitative data were analyzed from observation and interview of the students of X.13 SMAN 5 Bukittinggi.From the result of the research, the writer found that Think-Pair-Share Technique can improve students' skill in writing narrative text from cycle 1 to cycle 3.The improvement of achievement was proved from the result of the students writing score where they could their score gradually.It also could be seen on students' performance during teaching and learning process.The students became more active and all students were involved in teaching learning process.Students were more enthusiastic in joining the lesson, so the class became more conducive.From this research, it was also obtained that the improvements of the students writing were influenced by four factors; classroom activities, the materials, classroom management, and teacher's approach.
Identification of Product Originality Based on Supply Chain Management Using Block Chain

The Internet of Things (IOT) is integrated with supply chain management process to track the product. To track the product smart tags is used. The smart tags like QR code and NFC is used. But with the technology enhancement the block chain is introduced into the supply chain management process. The block chain is the great revolution that data in the centralized form is transformed in to a decentralized manner. The distributed Ledger Technology (DLT) is one of the method used in ethereum block chain. The main advantage of using DLT is, it offers decentralized, privacy-preserving and verifiable process in the smart tags. In existing system only single server was used to maintain all the process like supplier, manufacturer and distributor. In this application we are using different server which was more secure than existing system. The proposed solution in this paper is it checks the product evidence during the entire lifecycle of the product by using the smart contract. The data can be immutable by using smart contract with ethereum block chain. The duplication is manipulated by the block chainserver.
SPM

Schema pre-matching approaches prepare different schema elements for the matching step. Ideally, words are extracted from schema elements' labels and the semantic correspondences are generated. Identifying the sense of words based on their contexts and before schema matching is critical for increasing the total amount of true matches and decreasing significantly the total amount of both missed matches and false matches. However, this problem is very challenging since we often do not have complete and precise information about the meaning behind each element. In this paper, we present SPM, a Sense-based Pre-Matching approach. SPM has two key modules. First, the Sets of Words Generator module generates, from every schema element, a set of words that describes its meaning. Second, the Sense Identifier module selects the most appropriate meaning of words based on their contexts. Experimental results on real-world datasets show high effectiveness achieved by SPM.
The Effectiveness of Using Picture to Improve Students' Reading Skill at seventh-Grade Student of SMP Negeri 8 Seluma

This study aimed to find out empirical data, to see using picture strategy effective in improving studentsâ€™ reading skill at seventh-grade student of SMP Negeri 8 Seluma. The sample of this study was 62 students taken from the first grade of SMP Negeri 8 Seluma, the students were 31 students of VII-A, as experiment class and 31 students from VII-B, as control class. The method which was used in this study was a quantitative method and the design used in this study was an experiment design. The data collected in this research were analyzed by using t-test. According to the result of statistical calculation, the obtained value of (t-observation) is 2.67 and the value of â€œttâ€ (t table) from the df (60) on the degree of significance of 5% is 2.01. Comparing to the with each value of the degree of significance, the writer finds 2.67 &gt; 2.04. So too is higher than tt or to &gt; tt. The finding of this study it can be concluded that using the picture in teaching reading skill is quite a success by using Picture. It is not only effective to lead students to feel more interesting and enjoy doing activity in the class but also it can give the students the opportunities to be active in teaching a Reading skill.
Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets

As of 2020 when the COVID-19 pandemic is full-blown on a global scale, people's need to have access to legitimate information regarding COVID-19 is more urgent than ever, especially via online media where the abundance of irrelevant information overshadows the more informative ones.In response to such, we proposed a model that, given an English tweet, automatically identifies whether that tweet bears informative content regarding COVID-19 or not.By ensembling different BERTweet model configurations, we have achieved competitive results that are only shy of those by top performing teams by roughly 1% in terms of F1 score on the informative class.In the post-competition period, we have also experimented with various other approaches that potentially boost generalization to a new dataset.
A Virtual Reality Check: Covid-19 & the Challenges Facing Virtual Reality as an off-the-shelf Mainstream EdTech Solution

Virtual Reality has been much researched as an education technology, particularly under the constructivist perspective of learning environments. Whilst some education institutes have already applied VR within their curriculum, or for marketing purposes, interest has calmed much around the technology. However, since the start of the global Covid-19 pandemic, many educators were faced with the need to distance educate, which sparked a new wave of interest in VR as a potential education technology solution; even to extent of classroom substitution. Whilst the advantages of VR to education have been researched, this paper seeks to address a specific research gap to assist education in the selection of VR as a suitable education technology. Based on qualitative interviews, literature research and the practitioner experience of the authors in the field of education and VR, a technology fit assessment model has been proposed to support education institutes in their VR evaluation process.
Karakteristik Metode Pengambilan Keputusan Kepala Sekolah

This study aims to describe the characteristics of the education budget decision making method in Taman Muda Ibu Pawiyatan Tamansiswa Yogyakarta. The research was carried out for six months with the research subjects of the Chairperson of the Ibu Pawiyatan Council, the Head of the Taman Muda Section Mrs. Pawiyatan, the teachers at Taman Muda Ibu Pawiyatan, the treasurer, several staff involved in budgeting, the parents of students who were involved in finding funding sources, and a person who is always critical in making decisions and budgeting, both at the Ibu Pawiyatan Council level or at the Taman Muda Ibu Pawiyatan section. The research data were collected by in-depth interviews, observation and documentation. The research data were analyzed by using the data analysis technique version of Huberman and Miles which consists of data reduction, data presentation, and conclusion drawing. The results showed that the characteristics of the principal's education budget decision-making method were selective minority and seniority, as well as scientific authoritarian.
Optimasi Waktu Akuisisi Data Satelit Noaa18 Menggunakan Jaringan Syaraf Tiruan Backpropagation

Earth stations are built to monitor the presence of satellites starting from satellite data, monitoring satellites, and carry out orders and corrections if needed. On the earth station there is a satellite data receiving antenna, the more elevation angle of the current satellite data receiver antenna can affect the time duration of the satellite data. The purpose of this research is to apply the Artificial Neural Network (ANN) method to design a time optimization system for satellite data at the LAPAN Pekayon earth station, East Jakarta. The data used as input is the elevation angle. The benefit of this research is expected to make it easier for operators and technicians to measure the time optimization of satellite data at earth stations. The best training results with learning rate = 0.2, error = 0.0001, max. epoch = 100000, neuron hidden layer = 15. The MSE value obtained is 0.0001 reaching the goal at epoch 68810. Regret the training / training reverse sequence reaches 0.99878. The best test result is to use learning speed 0.2 hidden layer neurons 15 comparison of training data = 54 and test data = 18. The accurate result is exactly the same as the specified error, namely 0.0001. The difference in the average target duration is 3 seconds compared to the ANN target. Artificial Neural Network (ANN) with the back propagation method of training function gradient descent (traingd), was successfully used to an optimization system for satellite data acquisition time at earth stations.
Electronic Australian Elections: Verifiability of Accuracy is a Design Goal, which Must be Mandated by Law and Deliberately Designed into Electronic Electoral Processes

Electronic voting and counting are increasingly common and have been adopted in a number of Australian jurisdictions. Unfortunately, there is evidence that e-voting systems lack transparency. At present there are reasonable solutions for poll-site e-voting but none for remote paperless Internet voting. Although there are reasonable methods for statistical audits of electronically counted election results, Australian elections do not use them. The authors argue that a purposive approach should be taken to relevant electoral laws to ensure that genuine scrutiny of electronic electoral processes can be undertaken. This would require the source code and the voting data to be made available for testing. The authors recommend a number of legislative reforms to ensure the verifiability of e-voting. These reforms need to be undertaken to ensure that Australian elections are accurate, and consistent with the constitutional requirement of direct choice by electors.&#x0D; &#x0D;
Prototype Lengan Robot Berbasis Arduino Dengan Menggunakan Algoritma Kinematics

Robot arms, designed and made by humans with the aim to replace human positions in doing heavy and repetitive work. Besides the robot arm used in the automotive industry, it can also be applied to other manufacturing industries. In designing and processing robotic arms, Kinematics and Arduino algorithms are needed. In making a robot arm we need an algorithm, the Kinematics algorithm, which is one branch of study that studies the geometry of motion, so that sometimes this study is considered a direct branch of mathematics. The results of this research are the Arduino-based Robot Arm Prototype Using Kinematics Algorithm.
Problems of the Application of Distance Education Technologies in Higher Education in Kazakhstan

The application of distance education technologies (DЕT) throughout the world is recognized as one of the most effective ways to achieve UNESCO’s goal of sustainable development – “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all”. In our country, the problems of developing DЕT have become particularly acute due to the suspension of distance learning. The article attempts to address the contradiction existing in the field of the application of DЕT in higher education: on the one hand, there is a need for a large part of the population to receive education at a distance; on the other hand, a number of problems related to the implementation of distance education technologies in Kazakhstan’s higher education institutions remain unsolved: the legal and regulatory framework is not properly developed, content and software are not sufficiently prepared, and, most importantly, there is a lack of preparedness of professors and teachers for the implementation of DЕT. The leading methods of research were studying of normative-legal documents, sites and educational portals of higher education institutions, scientific articles and educational-methodical literature on DЕT problems, statistical data, questionnaires of teachers and specialists of higher education institutions in the field of DЕT, conversations with teachers and students, etc. Кey words: distance education technologies, higher education.
ПЕДАГОГІЧНА РЕФЛЕКСІЯ УЧИТЕЛІВ ПОЧАТКОВОЇ ШКОЛИ КРІЗЬ ПРИЗМУ КРИТИЧНОГО МИСЛЕННЯ

The article is devoted to the research of the problem of development of professional reflection of a primary school teacher. The focus is on the role of critical thinking of the teacher in this process in the conditions of infodemia. Using the methods for determining pedagogical reflection (Determining the level of formation of pedagogical reflection) (OV Kalashnikova), "Determining the level of reflection" (OS Anisimova)) in a sample of primary school teachers, the advantage of the average level of pedagogical reflection was investigated. The results of the research is showed the competence of teachers in self-knowledge and introspection, analysis of their feelings and interests, the cause-and-effect relationship of their behavior and actions. At the same time, the difficulties of teachers in the control of their pedagogical activities, adaptation in difficult pedagogical situations, the manifestation of regulatory flexibility, when the educational process are changed, analysis and assessment of barriers to professional development were revealed. This difficulties are demonstrated the importance of searching for ways to optimize the professional reflection of primary school teachers, in particular, the role of critical thinking in this process.Pearson's correlation coefficient revealed a statistically significant direct correlation between indicators of pedagogical reflection and socioreflection, indicators of the scale of the personal component of pedagogical reflection and critical thinking, as well as between indicators of critical thinking and autoreflection. The obtained results testify to the dependence of pedagogical reflection of primary school teachers on the development of their critical thinking, reflection of their own experiences and analysis of the experiences of others.
EFEKTIVITAS MODEL GROUP INVESTIGATION BERBANTUAN MEDIA WATAK KALINYAMATAN TERHADAP PEMAHAMAN KONSEP SISWA

This study aims to measure the improvement of students' understanding and also to measure students' learning activities after learning through the Group Investigation (GI) assisted by Watak Kalinyamatan media. This type of research is an experimental research design with Pre Experiment Design. The sample in this study was grade IV SDN 1 Damarjati, with the total of 45 students. Sampling was done by using Purposive Random Sampling technique. Data collection techniques used observation, interviews, tests, and documentation. In Analyzing the data used the final data analysis which includes the normality test, description of the concept understanding analysis, description of the students’ activity description, and hypothesis test that includes n-gain test and t-test.The results of the analysis in this study were (1) there was an improvement in students' understanding of the concepts before and after the GI model of the Watak Kalinyamatan media was applied to the students, (2) P-value = 0.039 0.025 H0 was accepted, this means that the average post-test score of students' concept understanding through the GI model assisted by the Watak Kalinyamatan media received a score of ≥ 65, (3) In the learning activities of the students’ meeting 2, 3 and 4 P-value = 0.1075, 0.045, and 0.037 ≥ 0.025, H0 is accepte, this means that the students’ activities after being given learning through GI models assisted by the Watak Kalinyamatan media are ≥ 65.
Data Visualization And Sales Prediction of PD. Asia Agung (Ajinomoto) Pontianak in 2019

PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.
SENTENCE COMPRESSION FOR RUSSIAN: DATASET AND BASELINES

Sentence compression is the task of removing redundant information from a sentence while preserving its original meaning. In this paper, we approach deletion-based sentence compression for the Russian language. We use the data from the plagiarism detection corpus (ParaPlag) to create a corpus for sentence compression in Russian of almost 3,000 pairs of sentences. We align source sentences and their compressions using the NeedlemanWunsch algorithm and perform human-evaluation of the corpus by readability and informativeness. Then we use bidirectional LSTM to solve sentence-compression task for Russian, which is a typical baseline for the problem. We also experiment with RuBert and Bert-multilingual. For the latter, we use transfer-learning, firstly pretraining the model on English data, which improves performance. We conduct human evaluation by readability and informativeness and do error analysis for the models. We are able to achieve f-measure of 74.8%, readability of 3.88 and informativeness of 3.47 (out of 5) on test data. We also implement post-hoc syntax-based evaluator, which can detect some of the wrong compressions, increasing overall quality of the system. We provide the data and baseline results for future studies.
Providing learning opportunities to mitigate the long-term effects of the pandemic

The World currently faces an unprecedented situation with the ongoing Covid-19 pandemic and all people, from every society, are affected in one way or another. Isolation has been one of the main mi...
FIXED VOTERS CLUSTERING TO DETERMINE THE LEVEL OF BEGINNER VOTERS USING DATA MINING TECHNIQUES

Data mining clustering technique is used to classify the level of beginner voters using the K-Means method. Fixed voter clusters are used for decision making for stakeholders regarding information on beginner voters in each district and sub-district. The error calculation method is used to measure the level of error value for each distance calculation used, the distance calculation method used ie Euclidean, Manhattan, and Minkowski Distance with the Means Square Error (MSE) approach to measure the level of the error value. The calculation results show that the lowest error occurs in the calculation of the Minkowski Distance model 3 cluster, where the error rate is 11%, while the highest error rate occurs in the calculation of the Manhattan Distance model 5 cluster, which is 38%.
Beyond squeezing à la Virasoro algebra

Abstract The generalization of squeezing is realized in terms of the Virasoro algebra. The higher-order squeezing can be introduced through the higher-order time-dependent potential, in which the standard squeezing operator is generalized to higher-order Virasoro operators. We give a formula that describes the number of particles generated by the higher-order squeezing when a parameter specifying the degree of squeezing is small. Formula (18) shows that the higher the order of squeezing, the larger the number of generated particles.
Pengaruh Strategi Pembelajaran Index Card Match terhadap Prestasi Belajar Siswa Mata Pelajaran Aqidah Akhlak

The purpose of this study was to determine the effect of the application of Index Card Match learning strategies on student achievement in Aqidah Akhlak subjects Asma Al-Husna class V MI Ma'arif NU Miru 2017/2018 school year. This type of research is quantitative with correlational research designs. The population in this study is the total number of classes V MI Ma'arif NU Miru with 25 students, while the sample takes the entire population. Methods of collecting observational data, questionnaires and documentation. Data analysis using Product Moment Correlation. The results of this study are the implementation of Index Card Match learning strategies are in the high category there are 15 respondents with a percentage of 60%, student learning achievement Aqeedah Morals in the medium category there are 13 students with a percentage of 52%, there is an influence of Index Card Match learning strategies on learning achievement students of Aqeedah Morals. This is based on the analysis results obtained by the value of rxy = 0.597 and then consulted with the r table at a significant level of 5% and N = 25 is 0.396 so that r count is greater than the r table is 0.597&gt; 0.396 which means there is an influence. The level of influence is strong, because the analysis results obtained rxy value = 0.597 between 0.40-0.599 which means moderate.