Reviewerly/exHarmony huggingface dataset:
読み書き能力の発達― 就学前から小学2 年生までの追跡研究―

To elucidate the development of reading and writing abilities among Japanese children, we investigated the scores on 13 reading/writing tasks over a 3-year period among children from preschool age (5 to 6 years old) to the second grade of elementary school (7 to 8 years old). Most of 92 subjects (42 girl, 50 boys) completed all 13 tasks. Preschool-age children were given a hiragana naming task (HNT). The five tasks in the first grade were related to reading and writing hiragana, and the seven tasks in the second grade were related to reading and writing both hiragana and kanji. The preschoolers’ median score on the HNT was 38.0 points (max 40.0), and six children had extremely low scores (5-14 points). Twenty-three children (9 girls, 14 boys) had HNT scores below 32.0 points, and these children also tended to have poor scores on the reading/writing tasks in the first and second grade. The children’s HNT scores showed significantly positive correlations with their scores on the hiragana writing task and the kanji reading/writing tasks. The HNT scores also showed significantly negative correlations with the duration of reading in four reading tasks. These results suggest that evaluations of the HNT score in preschool-age children may be useful to predict the reading/writing abilities of school-age children.
PENGEMBANGAN E-LEARNING BERBASIS MOODLE DENGAN MEDIA PEMBELAJARAN WHITEBOARD ANIMATION PADA MATA PELAJARAN RANGKAIAN ELEKTRONIKA DI SMKN 2 SUNGAI PENUH

This research is motivated by the results of observations at SMK Negeri 2 Sungai Penuh, that there are problems namely limited time, effective weeks of students who are cut short of PSG time, very much and difficult material as well as the lack of learning media used. The steps used in this research are the research and development of RD (2) the results of learning skills get the value of t count = 11.192> t table = 1.80 with a significance level of 0.05. Then concluded that the average student learning outcomes are greater or equal to KKM; (3) the results of the observational assessment assessment sheet obtained an average rating of all aspects of 84.2%. The feasibility of e-learning learning in terms of practical aspects of filling out the questionnaire responses as many as 33 students get an average of 83.63% and are categorized very practical. From the explanation above, it can be concluded that the e-learning learning that was developed can be declared feasible in terms of validity, effectiveness and practicality.
Pembelajaran Menulis Karangan Narasi Menggunakan Pemetaan Alur Pikir Siswa SMAN 9 Kota Kupang

This study refers to the low interest of students in writing narrative essays, students prefer to work on the questions in the Student Worksheet (LKS) compared to writing assignments, learning to write essays, especially teacher narrative essays only explain the material and assign students to write essays freely without guidance from the teacher, in writing narrative essays students struggle to arrange essays chronologically. In fact, writing learning itself has been applied in schools, especially in Class X 2 students of SMA Negeri 9 Kupang City, but there are still many students who do not understand how to write essays, especially writing narrative essays. Based on that the solution applied is the researchers chose to use the Mind Mapping model which aims to explore information from both inside and outside the brain in order to obtain new ideas, new concepts according to students' understanding and prove the effectiveness of learning to write narrative essays. This research uses Pre Experimental in the form of Pretest-Posttest Design. The research data were obtained from observations, questionnaires, test results and field notes. The results showed that in the pretest, the average value of students was 51.73 or less categorized. The scores on the pretest have not yet reached the KKM that has been set. While the posttest increased by 29.63 or 57.27% to 81.36 and was in the good category. The expected benefit of this research is the development of educational theory theory, specifically the problem of the effectiveness of mind-mapping technique to develop students' writing potential, can improve and provide a more varied choice of learning techniques in the learning process and can create a fun learning activity, to improve skills student writing.
ІСТОРИЧНИЙ ДОСВІД МОНІТОРИНГУ ЯКОСТІ ВИЩОЇ ОСВІТИ НА ПРИКЛАДІ СОЦІОЛОГІЧНОГО ОПИТУВАННЯ «ВИКЛАДАЧ ОЧИМА СТУДЕНТІВ»

The article deals with the issues of the historical formation of the process of monitoring the conduct of sociological surveys regarding the assessment of personal and professional qualities of teachers by students in the context of pedagogical, sociological, managerial dimensions and cross-cultural empirical studies. To improve the competitiveness of higher education institutions in the educational market, both the university administration and the teachers have developed a methodological complex for evaluating the quality of the educational process. The attention is focused on the implementation of monitoring results with the involvement of the results of the study «Teacher through the eyes of students» on the problem of characteristic features of the study of countries in certain historical eras. The process of transforming survey forms to clarify the essence of the ideal teacher is demonstrated. Teaching quality is a complex characteristic that reflects the range and level of educational services provided by a teacher in accordance with the interests of the socio-educational paradigm, the student, the administration of the university and allow comparative assessment of teachers. The experience of other countries in this field will allow domestic methodologists-experts to build the most optimal format of sociological monitoring of consumer satisfaction with the quality of higher education. From the organizational point of view, the findings of the study will be useful for educators and the administrative corps, which will encourage the teacher to improve himself. The systematic and systematic implementation of the international surveys in conducting sociological monitoring, the students’ taking of the organization of the educational process will allow to trace the dynamics of positive or negative tendencies, to minimize the errors of the study, to offer real measures to optimize certain aspects of educational activity.
Time-series Prediction Based on VMD and Stack Recurrent Neural Network

Time-series prediction is a hot research field. How to build an effective model to improve the accuracy of long-term prediction is a difficult issue. In this paper, we propose a stack recurrent neural network with variational modal decomposition (VMD-SRNN) for long-term time-series prediction. First, a time series is decomposed into multidimensional subsequences by using variational modal decomposition to reveal the potential hidden information of the original time series and improve the prediction accuracy of time series. In addition, we build a stack recurrent neural network (SRNN) model to predict subsequences. The hidden layer of SRNN model has two reservoirs and these reservoirs effectively excavate the internal correlation information of subsequences, which enhances the long-term prediction ability. Besides, the links of reservoir neurons are improved into a special sparse connection structure to ensure the generalization ability of SRNN. Finally, we report the experimental results on multi-step prediction on the Lorenz-x time series and the NO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> time series. The results show that the model has a prominent prediction ability in long-term prediction.
The Action Research for Developing Occupational and Environmental Diseases Surveillance System in Order to Support Trat Special Economic Zone (SEZ)

The Objective of this study was to develop occupational and environmental disease surveillance system in order to support Trat Special Economic Zone (SEZ) by using participatory action research.Method : The research was set into three phases to conduct this research as follows: Phase I : Situation and problem awareness/Phase II : Participatory action research operation to develop the potential of public health officers in field of occupational and environmental diseases surveillance/Phase III : The surveillance system development Evaluation It came out with three - step process to operate the research : Step I : Situation and problem analysis/Step II : Surveillance system developing model determination/Step III : The model usageResult:1. The occupational and environmental disease situation and 43 – folders data problem showed that the highest number of sickness was working injury. The public health officers had low knowledge and low participation in occupational and environmental disease surveillance system. There was just 9.37% of encoding Y96 data. There was just 3.21% of encoding ICD – 10 data in the 5th position : external causes of injury (code 2 : while working for income). There was no confirmation of disease diagnosis and encoding accuracy before sending data to HDC system.2. This surveillance system format was about the participatory development, the 3 – most important surveillance disease determination (occupational accident, pesticide, musculoskeletal from working), and the confirmation of disease diagnosis and encoding accuracy in 43 – folder data. The suggestion was to bring corrective data to the consideration of district Health board.3. It was found out that after the development, the public health officers had more knowledge and participatory. Encoding Y96 increased to 88.88%. The correction of encoding IDC – 10 in the 5th position increased to 87.50%ConclusionTo develop the public health officers by using these three strategies : advocacy, enabling, and mediating can encourage the development of occupational and environmental disease surveillance system in order to support Trat Special Economic Zone (SEZ)Keyword : potential development, disease surveillance system
Modeling Physical Systems

How can we use math to predict the behavior of physical systems? In this chapter we cover principles for modeling physical systems; differential equations, with a focus on Ordinary Differential Equations (ODEs); systems of equations; vector calculus; one-, two- and three-dimensional mechanical systems (statics and dynamics); and resistive and linear electric circuits.
GAN-based Generation and Automatic Selection of Explanations for Neural Networks

One way to interpret trained deep neural networks (DNNs) is by inspecting characteristics that neurons in the model respond to, such as by iteratively optimising themodelinput(e.g.,animage)tomaxima ...
Data Security &amp; Future Issues for Cloud Computing

In current vogue, it is required more storage space as well as security being increasing internet user’s day by day. Cloud computing is appropriate platform to provide services over the internet. Cloud computing influences some technologies such as SOA to data security. In future, some of industry and vendors are expecting changes in IT trends and processes. We discuss here the data security & future of cloud computing. We will also review of current services provided by cloud computing in different arena.
Trace elements in quartz vein of Gubong gold deposit, Republic of Korea

&amp;lt;p&amp;gt;&amp;amp;#160; The Gubong gold deposit is located in the Cheonan metallogenic province which records a highest gold production areas in the Republic of Korea. The Gubong deposit is the richest gold deposit in the province and consists of five stages of massive quartz veins that fill fractures along fault shear zones orienting NE and NW hosted in Precambrian metasedimentary rocks (Gyeonggi massif).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160; Ores and alteration minerals of Gubong deposit are sericite, chlorite, epidote, illite, K-feldspar, plagioclase, biotite, quartz, calcite, magnetite, ilmenite, rutile, zircon, monazite, apatite, pyrite, gersdorffite, arsenopyrite, pyrrhotite, sphalerite, marcasite, chalcopyrite, galena, and electrum. Fluid inclusion microthermometry and textural relationships in veins indicate that early sulfide deposition is associated with H&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O-CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;-CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt;-NaCl&amp;amp;#177;N&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; bearing hotter hydrothermal fluids (203~432&amp;lt;sup&amp;gt;o&amp;lt;/sup&amp;gt;C, &amp;amp;#8804; 13.4 wt % NaCl) and late sulfide deposition is associated with H&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O-NaCl bearing fluids (202~399&amp;lt;sup&amp;gt;o&amp;lt;/sup&amp;gt;C, 3.9~17.3 wt % NaCl) cooled and diluted possibly by mixing with meteoric water.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160; Trace element analyses in quartz from veins were performed by using LA-ICP-MS (193-nm ArF Excimer laser combined with an Elan 6100 quadrupole mass spectrometer) at ETH Z&amp;amp;#252;rich. Concentration of trace elements in quartz including Li (&amp;lt;0.01~3.55 ppm), B (3.03~27.17 ppm), Na (3.23~72.79 ppm), Al (4.0~149.9 ppm), P (14.4~68.9 ppm), Sc (3.3~8.7 ppm), Ti (&amp;lt;0.10~1.43 ppm), Cr (&amp;lt;3.34~65.6 ppm), Ga (0.50~1.30ppm), Ge (0.57~2.15 ppm), Rb (&amp;lt;0.01~0.50 ppm), Sr (0.01~3.13 ppm), Sn (&amp;lt;0.29~7.24 ppm), Sb (&amp;lt;0.05~0.42 ppm), and Bi (&amp;lt;0.01~8.30 ppm) are reported. Some trace elements (Al, Na, Ga, P, Li) tend to correlate positively. Titanium versus aluminum concentrations in quartz from Gubong deposit are plotted in the field of orogenic Au deposit suggested by Rusk (2012). We analyzed quartz from other numerous Korean Au-Ag and W-Mo deposits to compare hydrothermal fluid conditions and to provide a geochemical tool for mineral exploration.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Reference&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Rusk, B.G., 2012, Cathodoluminescent textures and trace elements in hydrothermal quartz: Quartz: Deposits, Mineralogy and Analytics, Jens G&amp;amp;#246;tze and Robert M&amp;amp;#246;ckel, Springer, p. 307-329.&amp;lt;/p&amp;gt;
Fitting a reversible Markov chain by maximum likelihood: Converting an awkwardly constrained optimization problem to an unconstrained one

We consider here the problem of fitting, by maximum likelihood, a discrete-time, finite-state–space Markov chain that is required to be reversible in time. The technique we use is to impose the detailed balance and other constraints by transforming the transition probabilities to a set of unconstrained ‘working parameters’, after which any general-purpose routine for unconstrained numerical optimization can be used to maximize the likelihood. The main advantages of this procedure are its simplicity and its use of standard, well-tested optimizers; very little computational expertise is needed, and all computations can easily be carried out in R on a standard machine. We provide several examples of applications, to simulated and other data, and give an example of the computation of standard errors and confidence intervals for parameters. We discuss also the variation of the problem in which it is required that the transition probabilities satisfy detailed balance with respect to a pre-specified stationary distribution, demonstrate that this case can be handled by a modification of our methods, but suggest two altogether different routes that may be preferable. A feature of our methods is the availability of excellent starting-values for the optimizations.
Sequence Searching Allowing for Non-Overlapping Adjacent Unbalanced Translocations

Unbalanced translocations are among the most frequent chromosomal alterations, accounted for 30% of all losses of heterozygosity, a major genetic event causing inactivation of tumor suppressor genes. Despite of their central role in genomic sequence analysis, little attention has been devoted to the problem of matching sequences allowing for this kind of chromosomal alteration.In this paper we investigate the approximate string matching problem when the edit operations are non-overlapping unbalanced translocations of adjacent factors. In particular, we first present a 𝒪(nm³)-time and 𝒪(m²)-space algorithm based on the dynamic-programming approach. Then we improve our first result by designing a second solution which makes use of the Directed Acyclic Word Graph of the pattern. In particular, we show that under the assumptions of equiprobability and independence of characters, our algorithm has a 𝒪(nlog²_{σ} m) average time complexity, for an alphabet of size σ, still maintaining the 𝒪(nm³)-time and the 𝒪(m²)-space complexity in the worst case. To the best of our knowledge this is the first solution in literature for the approximate string matching problem allowing for unbalanced translocations of factors.
The Effect Of Using Take And Give In Writing Skill’s At Grade X In Mas Daerah Aek Songsongan Academic Year 2018/2019

This study aims at investigating the effect of Take and Give Model in Writing Descriptive Text. This study was conducted by experimental research. The population of this study was the students at grade X IPS of Mas Daerah Aek Songsongan . The total number of the population was 44 students in two class. There were 44 students chosens as the sample by using random sampling technique. The sample was divided into two groups, namely control group and experimental group. The experimental group was taught by using Take and Give Model and Control Group was taught without using Take and give model. The instrument collecting the data was writing test. The data was analyzed by using t – test formula. The result of the analysis showed that t-observed value is higher than t – table ( 2. 10 >2. 00 ) at level of significance 0.05 with the degree of freedom 58. It means that the alternative hypothesis ( Ha) is accepted and null hypothesis ( Ho) is rejected. Based on the findings of this study, it was found that there is a significant effect of Take and Give Model in writing Descriptive Text. Key words : Effect, Take and Give Model, Writing Descriptive Text.
Ranges, Views, and Adaptors

From early in this book, I have talked about “ranges” with little more than a vague description of what a range truly is. In part because ranges are defined using fairly advanced features of C++ that I haven’t covered yet, and in part because the way C++ uses ranges, you don’t need to know much more about them. This Exploration starts to unravel the mystery of ranges and gives you some more fun adventures you can have with them, including some very powerful coding techniques that use range views and range adaptors.
Multilayer Perceptron Based on Joint Training for Predicting Popularity

For predictive analysis, Independent features and feature combination are of equal importance, but most models only focus on either independent features or feature combinations. In this paper, we propose a novel deep network model for predictive analysis. It incorporates two components: wide simple feed-forward neural network and MLP (multilayer perceptron) neural network. The wide simple feed-forward neural network is used to generalize to unseen feature combinations, and MLP neural network’s aim to select and memorize vital independent features. The Feed-forward & MLP models are jointly trained for the Feed-forward & MLP model, in order to combine the benefits of selection, memorization and generalization. The results from the experiments show the jointly trained Neural Networks model can achieve ideal accuracy.
READING SKILL SPEED BY USING SKIMMING IN INDONESIAN SUBJEC

The purpose of this study is to determine the level of speed reading ability by using skimming techniques in Indonesian language courses for students of class SI 2 C. The method used in this study is the method of Classroom Action Research (CAR). The type of research used is descriptive qualitative type. Subjects to be examined in this study were students in the class 2 C at STMIK Royal Kisaran. The samples are  26 students. Data collection techniques in research are test techniques and observation sheets. The research instrument was test material and test equipment, and the data analysis techniques in this study were the results of reading speed, comprehension of reading content, and calculating overall averages. Based on the results of this study concluded that the overall reading speed is 211 kpm into the good category. Then the percentage of overall student understanding is 85%. So the ability to average read quickly using skimming techniques for SI 2 C students is in the excellent category. It can be concluded that the learning speed reading skills can be enhanced through the skimming technique.
New approaches to bibliographing factual information in local studies

The author examines the possibility for overcoming formal approaches to de-visu bibliographing factual information in local studies. She proposes a technology for bibliographing published local facts in the circumstances of digitalization. The sample abstracts supplementing bibliographic descriptions in local e-catalogs and factual local databases like “calendar of memorable dates” or “local chronicles” are provided. These databases should become the quality full-text bibliographic and factual resources, reliable and relevant, high quality and meeting user demands. The «de-facto» approach to bibliographing will facilitate the 5-fold increase in the number of hits of property digital resources of cultural institutions by the year 2024, which is envisaged by the “Culture” national project. It would also enable to accumulate reliable information on facts and events in local/regional history, interesting and unique facts, and famous local countrymen. This only technology will enable the libraries to remain irreplaceable. The author provides examples of bibliographing factual information on local studies.
Toward Lexicon-Free Bangla Automatic Speech Recognition System

This article presents a lexicon-free automatic speech recognition (ASR) system for the Bangla language and investigates an open-source large bangla ASR corpus, which proved by OpenSLR. The model has been trained using improved MFCC acoustic features with deep LSTM acoustic model. Two types of decoding have been done—one is using joint decoder of connectionist temporal classification (CTC) and a statistical language model (LM) for beam decoder and another is connectionist temporal classification (CTC)-based greedy. We have achieved impressive performance than previous research work on Bangla on end-to-end approaches for non-augmented speech as an input that are 27.89% WER and 12.31% CER using beam decoder and 39.61% WER and 18.50% CER using greedy decoder. According to the best of our knowledge, this performance is state of the art for continuous Bangla speech recognition.