Reviewerly/exHarmony huggingface dataset:
INTERACTIVE LEARNING MEDIA FOR DYSLEXIC STUDENTS OF ELEMENTARY SCHOOL

The purpose of this study is to develop web-based learning media to improve reading comprehension of dyslexic students. Dyslexia is a condition caused by neurobiological abnormalities that are characterized by difficulty in recognizing words accurately in spelling and inability to encode symbols which lead to reading disorder. The research method used is research and development. This research develops web-based learning media called LexiRoom learning applications. The LexiRoom web was trialed to dyslexic students of the fourth grade of elementary school and obtained effective results to help students to have better comprehension of words and sentences within a paragraph.
ANALYSIS OF READING CAPABILITIES WITH CLASS IV STUDENTS SCANNING TECHNIQUES IN PELITA JAYA CLUSTER KECAMATAN LUBUK BATU JAYA DISTRICT INDRAGIRI HULU

Low reading skills, preferably reading students, a family environment that has never accustomed to a culture of reading and the development of increasingly sophisticated technologies, such as cell phones, usually children prefer the main game on cellphones to read and increase motivation. The point must be instilled in you who are reading is one means to improve the quality of self because by reading someone will get a lot of information. the purpose of receiving support through this research is to describe the reading skills of grade IV students with scanning techniques in Pelita Jaya Elementary School. The place of research is Pelita Jaya Cluster Elementary School consisting of 8 schools with a total of 274 students and a sample of 163 students. This type of research uses quantitative descriptive research with test instruments. The results of this study were the ability to read by scanning techniques from 163 students who became a sample that received students who received very good categories for 31 people, 32 good categories, then only 19 people were categorized, and 81 people were categorized less than 81 people. support the number of classified as sufficient, with an average value of 55.92.
THE FEATURES OF MEDIATION IN EFL CLASSROOM INTERACTION: TEACHER PERSPECTIVES

The classroom is a place where the teacher, as an expert and the knower, teaches students through interactions influenced by several sociocultural backgrounds. Moreover, the teacher plays a role in mediating language learning processes by providing effective mediation. In brief, mediation can be defined as all objects delivered by the teacher to mediate the students to bring their current ability to the targeted performance. This current research serves to describe the features of mediation applied by English teacher in one lower secondary school in the EFL classroom context. This qualitative-based inquiry applied classroom observation and interviews as instruments to explore how the teacher mediated language learning in the classroom particularly for beginner-level students in one private school in Jakarta. The findings showed that the features of shared intention are the most salient to be mediated. This indicates that the teacher is very concerned with helping and facilitating the students to perform tasks. In addition, in mediating values, challenges, change and competence, the teacher creates engaging classroom discourses, selects particular tasks, and nurtures a positive classroom climate. Moreover, the teacher sets herself as a mediator as well as mediation as an ideal form of behavior and language model in the class.Keywords: English; foreign language; mediation; sociocultural view.
Predictors of Adolescent Academic Achievement: The Role of Individual and Family Socioeconomic Factors

Academic achievement is affected by external and internal factors. This study generally aims to examine the influence of family characteristics (per capita income and parental education), individual characteristics (age and gender), cognitive intelligence, and self-regulated learning toward academic achievement in adolescents. A total of 91 samples (Mage=13.9 years) with the largest percentage of the respondents were women were selected from two different junior high schools in Bogor area. Cognitive intelligence, self-regulated learning, and academic achievement were measured using Riley Inventory Basic of Learning Skills (RIBLS), Motivated Strategies for Learning Questionnaire (MSQL), and student academic record, respectively. The partial regression analysis showed there was a negative effect of mother’s education on self-regulated learning. Gender was found to positively predicted cognitive intelligence. The regression analysis also showed that parental education and cognitive intelligence positively predicted adolescent academic achievement. Per capita income, gender, and self-regulated learning showed no significant effects on academic achievement.
Identity-Based Threshold Group Signature Scheme of Blockchain Verification

In the e-commerce scenario, the signature schemes generally have to meet four requirements: public verification, integrity, traceable and efficiency. To achieve the above goals, the paper proposes a identity-based threshold group signature scheme which can not only simplify the process of key management, but also allow to trace the user identities. To protect the user privacy, the scheme blinds the user identities and stores them on the blockchain to prevent the malicious members from tampering with the content. Security analysis shows that the proposed signature, whose difficulty is equivalent to solve the discrete logarithm problem, achieves a high level of anonymity and can resist impersonation attacks. Computational complexity analysis shows that the new method with low computation overhead and high communication efficiency can be effectively adapted to the electronic commerce scene.
Self-media as a model for monetization of knowledge code

The accelerated development, convergence and integration of information and communication technologies open up great opportunities for social actors to express themselves, motivating amateur artists to produce media products. The essay discusses the principles of the functioning of "self-media", a new type of media model in individual entrepreneurship which is developing in China and analyzes its advantages and disadvantages in the testing of innovative business models.&#x0D; The essay explores the problem of the importance of screen communications for civilizational development and their possible influence on the processes of collective cognition, mentality and behavior patterns of social actors, groups, communities and cultures. Screen communications demonstrate the inextricability of the linking of the media and social systems which undergo fluctuations (unstable fluctuations) in digital time at the stage of digital reforming. The author notes that this development of a social system is most often built not on collectively-consolidated but on individualized solutions resorted to by people forced to rely on their own choices in difficult situations, on their intuition and imagination.&#x0D; Social actors master digital technologies and create various kinds of projects that encourage the masses to acquire new knowledge. The self-media project began to be implemented in China in 2010-2013 on the basis of the new WeChat platform, both a social network and a messaging application. In a convergent-integration form, a functional of differing target technology platforms was implemented, providing typological signs of self-media. This attracted a large number of consumers to media projects.&#x0D; Self-media are based on the idea of learning new things - in other words, a knowledge code (a set of signs / symbols and a system of certain rules that define a process of cognition) which is implemented by the creators. Initially, it is presented in the form of informative and historical texts, illustrations and videos dedicated to art, a chosen topic complemented by the attributes of material symbolic things and various kinds of organizational services. Materially embodied ideas motivate the media consumer to replenish knowledge of the unknown.
ANALISIS PERILAKU SEKS BEBAS PADA REMAJA DI SMA NEGERI 01 RANGSANG

Sexual behavior in adolescents who cross the fairness limit carried out by adolescents has a big impact on adolescents and their partners. Data from UPT Puskesmas Tanjungsamak Subdistrict stimulates teenagers who have free sex in 2016 as many as 3 cases and in 2017 there were 10 cases. The purpose of the study was to determine the factors that influence free sex in adolescents at SMA Negeri 1 Rangsang, Kepulauan Meranti Regency. This research was conducted from February to August 2018. Quantitative research method with cross sectional design. The research sample of 174 people taken from 309 students and students of Class X and XI of SMA Negeri 1 Rangsang in Kepulauan Meranti Regency was taken by random sampling. The research instrument uses a questionnaire Data analysis was performed univariate and bivariate using chi-square test, 59.8% having good religiosity, 62.6% stating high family roles, 60.3% stating high school roles , 54.0% had bad free sex behavior. Statistical test results showed that there was a significant relationship of religiosity (p value = 0.002), family role (pvalue = 0.000), school role (p value = 0.002) and information media (p value = 0.004) with free sex behavior in adolescents in Rangsang 1 Public High School Meranti Islands. It is expected that the Head of SMA Negeri I Rangsang can collaborate with the Tanjungsamak Health Center to provide counseling to their students about reproductive health in adolescents.&#x0D;
An Ontology Based Approach for User Preference Statistics

Arguably the rapid development of Internet financial is one of the most significant breakthroughs in the financial domain. Automated financial statistics have gradually substituted the traditional manual statistical methods, providing a reliable data basis for economic planning. Therefore, the quality of a business activity heavily relies on the accuracy analysis of user preferences and recommend rated products to the users. Traditional item-based collaborative filtering method plays a dominant role for analyzing user preference and recommending the items for users, this method mainly utilize the fully rating data to predict whether the user like the target item. However, in many cases, the available user rating data is sparsely, which makes traditional item-based collaborative filtering method inefficient and inapplicable. To address this problem, this paper propose an ontology-based user preference statistical model (ontology-based UPS), where the concept and attribute features are extracted from financial ontology for semantic similarity computing; later, it is combined with the calculated rating similarities to improve the accuracy of the similar item set for the target item. The research results show that our approach outperformed traditional collaborative filtering method.
High-retrieval efficiency quantum memory for the quantum internet

Quantum memories are a fundamental of any global-scale quantum Internet, since these units are necessary for guaranteeing an optimal performance in a high-performance quantum networking scenario. The main problem of quantum memories is the low retrieval efficiency of the systems from the registers of the quantum memory. Here, we define a novel quantum memory called high-retrieval-efficiency (HRE) quantum memory for the quantum Internet. An HRE quantum memory unit integrates local unitary operations on its hardware level for the optimization of the readout procedure and utilizes the advanced techniques of quantum machine learning. The local unitaries of an HRE quantum memory achieve the optimization of the readout procedure in an unsupervised manner without the use of any labeled data or training sequences. The HRE quantum memory is a particularly convenient unit for the construction of a powerful, global-scale quantum Internet.
FAAD: A Self-Optimizing Algorithm for Anomaly Detection

Anomaly/Outlier detection is the process of finding abnormal data points in a dataset or data stream. Most of the anomaly detection algorithms require setting of some parameters which significantly affect the performance of the algorithm. These parameters are generally set by hit-and-trial; hence performance is compromised with default or random values. In this paper, the authors propose a self-optimizing algorithm for anomaly detection based on firefly meta-heuristic, and named as Firefly Algorithm for Anomaly Detection (FAAD). The proposed solution is a non-clustering unsupervised learning approach for anomaly detection. The algorithm is implemented on Apache Spark for scalability and hence the solution can handle big data as well. Experiments were conducted on various datasets, and the results show that the proposed solution is much accurate than the standard algorithms of anomaly detection.
Systematic Image Zooming and Panning of Graphical Images Using Fractional Replication

Scaling is the major operation performed in Transformation of images. The Scaling is an important operation for resizing and reshaping the images that are in digital form. Various operations can be performed with digital images out of which the shrinking and zooming are the most widely operations by any type of users in the world. The other name for shrinking is sub sampling and the zooming operation is also named as Oversampling. The purpose of zooming operation is to extend or enlarge the image in order to have a clear and efficient view. Zooming operations are mostly performed in our mobile for viewing the images in our gallery and this operation is the most frequently performed operation by the mobile users. By considering all these factors, graphical images are the most widely agent to convey any information to the transmitter in order to know the position, size of an object. With this in concern, we try to focus on graphical image zooming as it is very important process in image processing. In this paper, we have used Fractional Replication for Image Zooming that is processed by copying and replicating the pixels from the base image based on the inexact spatial correspondence between the base image and zoom image. And also, the pixel address of the zoom image is calculated fractionally from the pixel address of the base image. We have implemented all the zooming operations like Zoom out in subject of Y -Axis, Zoom out in subject of X -Axis, Zoom in subject of Y Axis, Zoom in subject of X Axis, Left Side Panning, Right Side Panning, Top Zoom Panning and Bottom Zoom Panning for a graphical image using C programming language. Here we attempt to process the various Zooming operation analysis of the graphical image.
PENGARUH PENGGUNAAN MEDIA KOMIK DAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR MATEMATIKA SISWA SMP

This research is a quasi-experimental research with an experimental design aimed at: 1) know the influence of the presentation of material in the form of comic media and without comic media on student mathematics learning outcomes; 2) know the interaction of the presentation of the material with learning motivation towards student mathematics learning outcomes; 3) find out whether the results of learning mathematics students who have high learning motivation and are taught by presenting material in the form of comic media is higher than without using comic media; 4)find out whether the results of learning mathematics students who have low learning motivation and are taught by presenting material in the form of comic media is higher than without using comic media. This research involved all SMP in Kab. Gowa. Determination of the sample is done by selecting an A accredited school, while determining the class as a sampling unit using the Purposive Sampling technique with the selected class having more dominant reading interest. So that class VIIIA was chosen at SMP Neg. 1 Sungguminasa as an experimental class and Class VIIIB in SMP Neg. 4 Sungguminasa as a control class. Variables consist of free variables and bound variables. Free variables presented in the form of a comic media and learning motivation while bound variables using the student maths result. The learning tools developed consists of students book (comic media), students worksheet book (comic media) and lesson plan. The data collected in this study were students 'learning motivation obtained using the learning motivation questionnaire instrument and students' mathematics learning outcomes were obtained using the mathematics learning achievement test instrument. Analysis of student mathematics learning outcomes test results using descriptive analysis and inferential analysis namely ANAVA and independent sample t-test. The results that:1) there is an influence between the presentation of material in the form of comic media and the presentation of material without using comic media on student mathematics learning outcomes; 2) there is no interaction of the presentation of the material with learning motivation on student mathematics learning outcomes; 3) mathematics learning outcomes of students who have high learning motivation and are taught by presenting material in the form of comic media are higher than without using comic media; 4) mathematics learning outcomes of students who have low learning motivation and are taught by presenting material in the form of comic media are higher than without using comic media.
A Study on Image Compression and its Applications

The fast development in digital filed gave scope for a lot of image processing applications.To make use of digital images efficiently, explicit methods are required to decrease the number of bits essential for their presentation.This guided for instant development in area of Image Processing.This increase forced to develop more strong algorithms.Compression concentrates on dropping image dimension without losing the originality and information present with original one.With this goal of compressing the image is to reduce redundancy present in image and to increase the storage capacity for well-organized communication.This research reviews important image compression methods.This paper discusses efficient techniques like lossy and lossless with its applications and research possibilities.
Application of Neural Network in Image Detection of Illegal Billboards

In recent years, urban management is gradually developing towards informationization.There are corresponding processing mechanisms for illegal billboards and illegal parking in urban management, but the method of detecting illegal billboards based on machine vision is still under study.At present, the automatic detection method of illegal billboards based on machine vision is generally carried out under ideal conditions, and the experiment is carried out under a simple background.This paper takes a street in Hebei Province as the research object, and studies the illegal billboard area under natural conditions, and proposes to use the machine vision-based method to automatically detect the illegal billboards.In the surveillance image, according to the street scene detected by the computer.Image information enables status evaluation of billboard placement.The detection algorithm of this paper uses the multi-angle suggestion area to accurately locate the illegal billboards in the image, and mark the detected billboards.Compared with the direct detection of the billboard in the image, the interference of the background factor on the target area is removed, and the false detection rate is effectively reduced.In billboard detection, this paper proposes an improved region suggestion algorithm to generate higher quality candidate regions in an image for adapting to billboards of various poses under natural conditions.Experimental data shows that the algorithm has good adaptability to the detection of billboards in surveillance images.
Light Field Camera Image Sharpness Enhancement for Underwater Machine Vision Application

For underwater machine vision application, due to the scattering and absorption of water medium and underwater particles, there are some problems in underwater image, such as low resolution and contrast, fuzzy details, color distortion and so on. According to the single-scale Retinex theory, the underwater scattering imaging model is established to enhance the sharpness of the image, and the image enhancement effect of the scattering imaging model is optimized by using the multi perspective characteristics of light field imaging, so as to further improve the quality of underwater image. The experimental results show that the underwater scattering imaging model and multi perspective optimization algorithm can effectively improve the quality of underwater image.
Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data

Motivated by the China Health and Nutrition Survey (CHNS) data, a semiparametric latent variable model with a Dirichlet process (DP) mixtures prior on the latent variable is proposed to jointly analyse mixed binary and continuous responses. Non-ignorable missing covariates are considered through a selection model framework where a missing covariate model and a missing data mechanism model are included. The logarithm of the pseudo-marginal likelihood (LPML) is applied for selecting the priors, and the deviance information criterion measure focusing on the missing data mechanism model only is used for selecting different missing data mechanisms. A Bayesian index of local sensitivity to non-ignorability (ISNI) is extended to explore the local sensitivity of the parameters in our model. A simulation study is carried out to examine the empirical performance of the proposed methodology. Finally, the proposed model and the ISNI index are applied to analyse the CHNS data in the motivating example.
Siberian Sherts of the 16th Century

The article focuses on the critical analysis of sources of the late 16th century – “shert’” letters, that were discovered by the author in the Russian archive of ancient acts. The author discusses the origins of these documents and the circumstances of their discovery in the Archive’s funds. The first discovered source is the shert’ of Khan Kuchum given to Tsar Ivan the Terrible in 1571/72. Although this document was known in the first half of the 17th century, its original was considered lost. This paper presents a transcription of this shert’ letter, preserved in the collection of diplomatic correspondence. The second discovered source is “shert’ of Yermak” 1580 (1582). Different versions of this document are contained in the Esipov Chronicle, in the Pogodin Chronicle, as well as in a copy of the turn of the 18th – 19th century, as part of documents collected by A. F. Malinovsky. The last-mentioned version was published by V. I. Sergeev in 1976. This publication, however, has several inaccuracies. Comparison of publications and archival versions of sources showed, that over the years, researchers used defective editions, that had a bunch of incorrectness. In light of the fact, the need for further archival research aimed to discover the earlier existence of these valuable sources becomes apparent. The text of the documents is published in this article according to the simplified rules for publishing historical sources.