Reviewerly/exHarmony huggingface dataset:
Pelatihan Metode Membaca SQ3R untuk Siswa Madrasah Tsanawiah Raudhatusyubban

This service aims to increase reading interest in tsanawiah madrasah students or equivalent to junior high schools (SMP) with SQ3R reading techniques that can be applied in reading textbooks. The method of activities used in this service in the form of training/workshops and training results are simulated directly to each student through stages (1) Survey (2) Questions/questions (3) Read/read (4) Recite/Recall/Repeat/Retell and (5) Review/review/review. The trainees were 26 students from Tsanawiah Raudhatusyuban Madrasah and involved two teachers. The results of this service show that the reading ability of students of the Tsanawiah madrasah or equivalent to junior high school is still deficient so that the existence of reading training with the SQ3R method is expected to increase students' interest and reading skills.
Management Practice of Car Production Unit Fire Vocational High School Sumsel in Palembang South Sumatra

The purpose of this study is to comprehend how the activities of practical management of production units in Vocational School Sumsel, Palembang, southern Sumatra produce fine products of fire trucks.This research uses qualitative approach with case study method.The focus of it is the practical management in Vocational School Sumsel, sub-focus : practice plan, organization, implementation, and the supervision of the production unit of Vocational School Sumsel.The data collection techniques used are interviews, observations, and documentations.The validity of the data relies on triangulation.Either triangulation of information source, technique, or time.The result of the research planning of production unit has fulfilled the criteria and ran in accordance with the theory of production unit practice planning.The organization of the production unit follows the organizational structure and the detail of management tasks.the implementation of the production unit has opened according to the practice of the education unit by preparing the tools, dividing groups, and assigning tasks and obligation for practice students.The supervision of the production unit of Vocational School Sumsel has been done by sponsors, which is Sumatera high school Diknas, the principal of Vocational School Sumsel, and also teachers and supervisors.There is an order between plan and result of the production unit practice management, but the main and the only one is the production of fire trucks.
An Obnoxious Lacuna on Discourses and Counter Discourses Over Artificial Intelligence

Artificial intelligence is the highest form of human development and sound outcome of human conscience till the date.But the very development seems to be devastating to human future ahead and has been heavily projected accordingly.More than it may be to decay and destroy the world, the negative and chilling views on the prospective damages of AI that scholars are percolating to public are costing many times on humans; and that is plunging human mindset into irreparable pessimism and negativity.This article explores the way that AI is being depressingly explored and investigated to browbeat public.In addition, this write-up highlights the serious lacuna, which the advanced academic engagement has still grossly failed to fill up, of a great deal in course of mainstreaming views and discussions for noble cause of human development and societal well-belling .Further, it unmasks the dire need in making constructive, encouraging and optimistic mind-set building academic pursuits and writings then makes an alarming call to the all prominent scholars to engage with due compliance of it . Method and HypothesisAs a doctrinal qualitative research based on extensive survey of secondary data and literature, methodologically, with adoption of paradigm of descriptive interpretation, this research hypothesizes that the discussions and discourses over AI are biased, hold a serious lacuna thus need to be reconstructed to make it balanced and build better world than to browbeat people.
PENINGKATAN HASIL BELAJAR MATEMATIKA MELALUI MODEL PEMBELAJARAN STAD DENGAN MEDIA REALIA SISWA KELAS 4 SDN DADAPAYAM 01

This research is a Classroom Action Research consisting of 2 cycles. The subjects of this study were all 4th grade students of SDN Dadapayam 01. Techniques for collecting data were formative tests and observation sheets. The results showed that using Student Teams Achievement Division (STAD) type with Media Realia can improve students mathematics learning outcomes. This can be seen when the pre-cycle students who completed the KKM were 6 students (40%), the first cycle increased which was around 9 students who met the KKM (60%) and in the second cycle there was a significant increase of 13 students (87%) students has reached KKM. So it can be concluded that the use of STAD model with Media Realia in Mathematics learning can improve learning outcomes. Teachers can use the STAD model on other glasses and students are expected to be more active and responsible for group discussion activities.
Оптическая цифровая регистрация седиментации эритроцитов и ее моделирование в форме коллективного процесса

AbstractThe dependence of the sedimentation rate of donor blood on its percentage in the sample (the degree of its dilution with physiologic saline) ranging from 0.25 to 100% (whole undiluted blood) is investigated with digital video equipment. The ratio of the value of displacement of the sediment–supernatant boundary per time unit was taken as the blood sedimentation rate. In case of registration of different speeds of movement of this boundary in a given volume of the cuvette, their spatial averaging was performed. A substantial increase in the blood sedimentation rate was found experimentally at high levels of its dilution, and, conversely, at blood concentrations in physiologic saline solutions that are close to whole blood. At the same time, the rate of blood sedimentation decreased several times with blood content in the range of 30–50%. It was experimentally shown that variation of blood content in the physiologic saline solution over a wide range did not affect the evenness of sedimentation occurring for almost any blood concentration in the mixture. In other words, in the process of sedimentation of a single blood sample of a given dilution in the physiologic saline solution, the sedimentation rate does not change with time. The experimentally obtained results allowed to build a theoretical model of blood sedimentation for two cases: 1) sedimentation of free erythrocytes (highly diluted blood) and 2) sedimentation of erythrocyte aggregates (almost undiluted blood, up to whole blood). The originality of the model comes from the proposition to consider the sedimentation of cells and/or their aggregates as a collective effect, and not in the traditional form of sedimentation of individual particles or particles interacting with each other. This model gives a satisfactory agreement with experimental laws with the use of certain empirical constants. The study is useful for understanding the process of erythrocyte sedimentation.
Collecting, managing and promoting data on flint deposits and sites in France: for shared cartographic and publishing platforms.

Over the past ten years, several resolutely interdisciplinary Projets Collectifs de Recherche (PCR), have produced a set of descriptive data on the main flints associated with their primary and secondary deposits in southern and central France using a new method for the characterization of siliceous materials. This work is in the process of convergence and harmonization within the framework of a Research Group (GDR) supported by the CNRS and the Ministry of Cultural Heritage for five years. This new framework allows the community of scientists concerned in various fields to consider enhancing the value of data collected over several years on lithic georesources by adopting harmonized practices at different stages of the data life cycle, from collection to online publication, in accordance with FAIR principles.
Smart exercise application to improve leg function and short-term memory through game-like lunge exercises

The purpose of this study was to evaluate the functionality, accuracy, and usability of a novel smart exercise application (SEA). The functionality such as counting lunges, providing task-related auditory feedback, and testing short-term memory was examined while thirteen young adults (six men, age 25.4 ± 8.3 years) performed the lunge exercise with the SEA. The accuracy of logged motion data including angles and accelerations were also tested. Another twenty-five participants (11 men, age 23.2 ± 5.7 years) evaluated the usability of the SEA interest, motivation, convenience, and strength/cognitive benefit via a questionnaire. The SEA assessed the lunge motion correctly, provided auditory feedback, and tested users’ short-term memory as required. High correlations (r = 0.90 to 0.99) with low RMSE (4.85˚ for direction angle, 0.13 to 0.22 m/s2 for acceleration) were observed between the sensor output and the reference output. Bland-Altman plot also showed a low discrepancy between each of the two measures. Most participants positively answered all questions about interest (60%), motivation (40%), convenience (80%), strength benefits (92%), and cognitive benefits (88%) of the SEA. The SEA demonstrated accurate kinematic assessment of accelerations and directions, assessed the lunge motion correctly, and created the appropriate auditory feedback on the short-term memory task. The high rate of positive responses suggested the potential of the application in future use.
Cozy and Safety Developments Up to Date in High Overall Performance Computing the Use of Cloud Computing

High performance computing (HPC) is a part of period that focuses on joining the power of figuring devices. HPC created because of increment sought after of handling pace. At some phase in pervious innovation HIPC applications have constantly required huge no of PCs interconnected in a network together with group. Groups are hard to set up and keep both in fact and monetarily. It will turn out to be less confounded to introduce hip bundles inside the cloud without stressing over the expenses related with it additionally convey ensures at the phenomenal of contributions (Qos). It enables ordinary's question wind up more quick witted and intelligent. The goal of the utilization of cloud principally based HIPC is to address quicker handling of immense measure of data and higher throughputs for all multiplicities of certainties and information. Cloud in HPC decreases the expense of framework and programming program and numerous others. It manages entire guarantee to the data to get right of passage to autonomously and sufficiently. Issues in cloud concur with jail issues, confidentiality, Authenticity, Authorization and well being.
Clustering Analysis of Fusion Similarity Calculation and Improved Genetic Algorithm

Aiming at the shortcomings of fuzzy C-means clustering analysis (FCM), which is easy to fall into the local minimum, and the sensitivity to the initial clustering center, this paper firstly used a density-based DBSCAN algorithm (ST-DBSCAN) to determine the number of clusters by calculating the distance and density between data. At the same time, based on the genetic simulated annealing algorithm (SAGA), this paper proposed a clustering analysis based on multi-population genetic simulated annealing algorithm. Firstly, it analyzed and evaluated FCM, and proposed the shortcomings of FCM in determining the number of clusters and clustering process. Then, it determined the number of clusters the ST-DBSCAN algorithm in the FCM. At the same time, it studied the genetic simulated annealing algorithm, and optimized the genetic simulated annealing algorithm by adding multiple groups of parallel genetic ideas. Finally, it combined FCM with a variety of genetic simulated annealing algorithms to optimize the clustering process. The experimental results show that the algorithm has better global search ability and convergence ability, and has certain advantages over traditional clustering algorithms in clustering effect and stability.
Content Analysis of An Early Reading Textbook at Islamic Elementary School

This article will describe the analysis of textbooks used by teachers to early reading learning for elementary school students in grade 1.The data is obtained from interviews and observations in 3 Islamic elementary schools in Surakarta City, Indonesia.The teacher was teaching a beginning reading with Anak Islam Suka Membaca.On this ground, the book content was analyzed by content analysis methods.Book analysis is seen based on content, vocabulary, and grammar, exercises and activities, the attractiveness of the text and physical make-up.Findings indicate that the new vocabulary words presented in a variety of ways but some words are not meant so students are unable to know their meaning, students taught topdown techniques for learning new vocabulary words, the textbook has more activities book and nothing exercises, the cover of the book is not appealing, the visual imagery is not required aesthetic quality.The conclusion of the textbook is not enough making students enjoy reading.
A Multi-object Tracking Method Based on Bounding Box and Features

Multi-object tracking is a key research problem in computer vision area, and with the fast development of the deep learning based image and video processing algorithms, the performance and accuracy of multi-object tracking methods are dramatically improved. However, current multi-object tracking methods mostly focus on human and seldom animals, and usually there are too many parameters, which make these methods very complicated and very hard to use in practical scenarios. In order to solve these problems, we proposed an easy-use multi-object tracking method based on bounding boxes and object appearance features. In our method, we take animals as the tracking object. In order to count the number of them in a closed area we firstly tracking and identify them based on the fact that two different objects cannot appears in a same video frame and the trajectory of an animal is continuous. Then, we store the appearance features of each individual animal and when it cannot be identified by tracking, we use appearance feature to re-identify it. Thirdly, we combined these two methods and when the whole system converged to stable state, we can get the total mumble of these animals. The results show that our method can tracking the multi-object accurately and can be easily used in practice.
PENGARUH TEKNIK PEMODELAN TERHADAP KETERAMPILAN MENULIS TEKS PROSEDUR KOMPLEKS SISWA KELAS XI SMKN 1 TAPAN

ABSTRACT This article has been writing techniques influence modeling text writing skills against the complex procedure of grade XI 1 — Tapan. This research is quantitative research with quasi experiment method of the one group pretest-postest design. The data in this study is the writing skills test score of complex procedure text grade XI 1 — Tapan before and after using the technique of modeling. The data obtained through test performance. Based on the results of data analysis, researchers concluded three things here; First, complex procedure text writing skills of students of Class XI 1 — Tapan before using the techniques of modelling are at Sufficient qualifications (62.02). Second, complex procedure text writing skills of students of Class XI — 1 using the technique of modeling after the Tapan is at Good qualifications (78.57). Third, based on the t-test, the alternative hypothesis (H1) are accepted on the degrees of confidence and degrees of freedom (dk) = (n-1) because thitung &gt; ttabel (7.10 &gt; 1.70). In other words, modeling techniques to complex procedures text writing skills of students of Class XI 1 — Tapan. Kata kunci: Teknik Pemodelan, Pengaruh, Keterampilan, Teks Prosedur Kompleks
THE CORRELATION BETWEEN SPEAKING ENGLISHANXIETY AT THE EIGHT GRADE STUDENTS’ SPEAKINGSKILL AT SMPN 108 JAKARTA IN ACADEMIC YEARS 2018

Speaking is a complex skill to be developed by students because of factors such as pronunciation, lack vocabulary, grammar structure, or just simply because some students are not motivated to learn it. This study aim to discuss about students 'anxiety and students' speaking skills. The object of research in this study was the eighth graders at SMPN 108 Jakarta. This study uses a quantitative approach in the correlation model.Instruments or tools used by researcher to collect data and divided into two types. First, a questionnaire (questionnaire) which contains 16 statements with 5 rating scales, which are used to measure the level of anxiety of students in the process of learning English. The second speaking test instrument of speaking skill. In analyzing the data, in analysis the data researcher used Pearson Product Moment Correlation to find out the correlation of data result completed by SPSS program. In the results of this research analysis have been shown that student anxiety in their speaking test that is 0.306, this value shows a positive correlation between the two variables. This result is seen from the table the estimated correlation of 0.306 is between 0.200-0.399, means the correlation strength of the two variables is low correlation. Though, r value showed low correlation interpretation, but the result explained us that the language anxiety has positive influence on students speaking skill to students SMPN 108. In conclusion the result of this research can be concluded that there is significant correlation, this shows that students’ English anxiety has an effect on the students’ speaking skill.Keyword: Correlation, Students’ Anxiety, Students’ Speaking Skill.
Experimental impact of (non-differentiable) image filters on image recognition residual networks

Experimental impact of (non-differentiable
Analysis of program changes nature and searching for unpatched code fragments

Software developers often resort to borrowing code both within one project and from another. Due to the possible content of errors in the source code snippet, this can lead to error propagation across program. Libraries used without source code may also contain potential errors. The purpose of this work is developing methods for analyzing the nature of changes between versions of software components for which source code is missing. And for changes potentially related to the correction of defects, search for similar, but not fixed defects using the code clone search methods. The implementation of the proposed approach to the analysis of the components used in software development will ensure the assessment of the quality of the proposed software patches. Since the implemented method is independent of the architecture of the operating system, and also works with executable software code, this allows it to be used for analyzing third-party components and for analyzing binary builds of proprietary software. The average percentage of true positives on the CoreBench test suite is ~ 73%.
Implementation of Reversible Circuits in Modular Adders

Reversible logic is a computing paradigm that has attracted significant attention in recent years due to its properties that lead to ultra-low power and reliable circuits. Reversible circuits are fundamental, for example, for quantum computing .Since addition is a fundamental operation, designing efficient adders is a cornerstone in the research of reversible circuits. Residue Number Systems (RNS) has been as a powerful tool toprovide parallel and fault-tolerant implementations of computations where additions and multiplications are dominant. In this paper, for the first time in the literature, we propose the combination of RNS and reversible logic. The parallelism of RNS is leveraged to increase the performance of reversible computational circuits. Being the most fundamental part in any RNS, in this work we propose the implementation of different adders, namely ripple carry adder, carry save adder, carry look ahead adder using reversible logic. Analysis and comparison with different adders for modular addition are designed using reversible gates with minimum overhead in comparison to regular Brunt Kung modulo-adders.
An Implementation of ECODB Algorithm to Identify Outliers on the Data of National Exam Scores, Integrity Index, and Accreditation Level of Senior High Schools in Yogyakarta

Outlier detection is one field of research in data mining.One of the outlier detection algorithms is the Enhanced Class Outlier Distance Based (ECODB) algorithm.In this paper, the ECODB algorithm is used to identify outliers on national exam results, integrity index and accreditation level of senior high schools in the Yogyakarta province year 2015.An experiment by varying number of outlier and varying number of nearest neighbor were done to identify the value of N and K that result on smallest Class Outlier Factor (COF).The identified N and K were then used to find out schools that are classified as outliers.Further decriptive analysis of the schools were then performed, afterward.
Classification of Tourist Comment Using Word2vec and Random Forest Algorithm

Text classification is one of the ways to classify sentences. The grouped data are comments from social media with training data from sites that provide points /scores for each review given such as tripadvisor.co.id. The word2vec method is used to extract words into numbers so that the machine learning algorithm can be applied to classify data. Word2vec is an unsupervised task that is capable of utilizing unlabeled data to convert a word into its vector representation that can also find the semantic relationship between words by counting their distance. The goal from this paper is that data from social media such as Twitter or Instagram can also quickly find out the total /weight of a tourist place from the comment given. The experiment shows that the result of F1 Score on data without removing stop words and eliminate the train data, give a better result 0,85.
3D PRINTING AND ADDITIVE TECHNOLOGIES IN EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 859-864ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0299Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Multiple error correction towards optimisation of energy in sensor network

&lt;span&gt;Hybrid ARQ (HARQ) is among the optimum error controls implemented in Wireless Sensor Network as it reduces the overhead from retransmission and error correcting codes. The advancement in WSN includes the usage of high number of nodes and the increase in traffic with large data transmitted among the nodes had concerned the need for a new approach in error control algorithm. This paper proposed the multiple error correction based on HARQ process to aid the changes in channel with proper error correction assignment towards optimising the performances of WSN in terms of bit error rates, remaining energy, and latency for different types of congestion and channel conditions. In this study, we have developed the channel adaptation algorithm that can adapt to sudden changes and demonstrated the optimal error correcting codes as well as adjustment on the transmit power for the given channel condition and congestion presented. From the result analysed, the optimisation between the remaining energy and Bit Error rates happened on the basis of adapting to these different channel condition and congestion to minimize redundancies appended. From the result obtained, we concluded that by using multiple error correction algorithm with the aid of adjustment on the transmit power, the remaining energy can be optimised together with Bit Error rates and the excessive redundancies can be reduced&lt;/span&gt;