Reviewerly/exHarmony huggingface dataset:
Development of Writing Text Description Learning Modules Based on Scientific Approach Class VII Junior High School

The research aims of this study is to describe the process of development of learning modules writing text description based on valid, practical, and effective scientific approach used by class VII students.The subject of this research is 32 students of class VII.1 SMPN 1 Batang Anai.Data of the research consists of qualitative and quantitative data.Qualitative data is collected through filling validation and practicality module questionnaire.Quantitative data is obtained from students learning outcomes in writing text description learning.Result of this research shows that learning modules writing text description based on scientific approach produced is valid, practical, and effective.It is proven by the results of validity, practicality, and effectiveness module.Module validity by experts is obtained based on the module validity value of 88.63% so that the module is very valid category.Module practicality is obtained based on the practicality of students at the one-on-one evaluation stage of 79.63 with the practical category, the practicality of the teacher at the one-on-one evaluation stage is 92.50% with a very practical category, practicality of students at the small group evaluation stage of 92, 05% with a very practical category, the practicality of students at the large group trial stage amounted to 89.29% with a very practical category.The effectiveness module based on the results of the performance test is 80% of students get complete grades (> 71) with a success percentage of 87.03 with the predicate B so that the category is very effective.
Encontrando os padrões sequenciais em apresentações orais de estudantes utilizando Sequential Pattern Mining

The present paper describes a sequential pattern mining based approach to identify the main corporal sequences in students oral presentations during a given course. Data from students presentations was collected through the use of Microsoft Kinect and blind software, the total number of observations was 65. The 7 collected features were used as input information in the SPMF tool, allowing the identification of main sequences of presenters. Sequences with the Hands Down attribute were the most frequent in all presentations. It has also been found that the presentations 1 and 3 are more similar in terms of sequence than with the second. The evaluation of the sequences can be integrated into the tool so that the teacher can return feedback to the students about their postures.
SELF EFFICACY ADOLESCENTS IN PREVENTION OF RISKY BEHAVIOR OF DRUG ABUSE IN BALUNG JUNIOR HIGH SCHOOL

BACKGROUND : Drug abuse is a problem that must be solved because it is related to the future of the nation in this case is teenagers. Prevention of drug abuse can be done from within adolescents through increasing self-efficacy (self-confidence) to take preventive drug abuse measures. This study aims to identify adolescent self-efficacy in the prevention of drug abuse in Balung Junior High School. SUBJECT AND METHODE : This research is a descriptive analytic study with 77 samples. RESULTS : Result of this research found self efficacy variable the majority showed high self efficacy by 42 respondents (54.4%) and others showed moderate self efficacy by 45.5%. In risk behavior, it is found that there are mostly risk behaviors among respondents, namely 64 respondents (83.1%) and only 13 respondents (16.9%) who are not at risk. CONCLUSION : Recommendation of this study To the parties involved in this case are the family, school, health workers, government, law enforcement and other parties there needs to be an increase in the socialization of increasing understanding of youth in preventing drug abuse
FAIR research data

President of the EMSIn many European countries, e.g.Germany, there is a strong movement for all research data to be freely available according to the FAIR principles (findable, accessible, interoperable and reusable).See https:
Teknik Penggambaran Penokohan Mizoguchi Dalam Novel Kinkakuji Karya Yukio Mishima

Abstract :&#x0D; This research is a study that examines how the depicts of Mizoguchi characterization techniques that contained in the novel Kinkakuji. The author argues that there are several techniques used in describing Mizoguchi characterizations, so the authors are interested in researching what techniques are used to describe Mizoguchi's characterizations. Descriptive analysis method is used in this study. The object used in the form of narration and dialogue related to research. The results of this study is, there are 4 techniques used to describe Mizoguchi characterizations, that is, expository techniques, flow awareness techniques, behavioral techniques, then setting presentment techniques. &#x0D; Keywords: Characterization, technique, characterization technique, kinkakuji&#x0D; &#x0D; Abstrak : &#x0D; Penelitian ini merupakan penelitian yang meneliti tentang bagaimana teknik penggambaran penokohan Mizoguchi yang terdapat di dalam novel Kinkakuji. Penulis berpendapat bahwa terdapat beberapa teknik yang digunakan dalam menggambarkan penokohan Mizoguchi, sehingga penulis tertarik untuk meneliti tentang teknik apa saja yang digunakan untuk menggambarkan penokohan Mizoguchi. Metode deskriptif analisis digunakan dalam penelitian ini. Objek yang digunakan berupa narasi dan dialog yang berkaitan dengan penelitian. Hasil dari penelitian ini adalah terdapat 4 teknik yang digunakan untuk menggambarkan penokohan Mizoguchi, yaitu, teknik ekspositori, teknik arus kesadaran, teknik tingkah laku, kemudian teknik pelukisan latar.&#x0D; &#x0D; Kata kunci: Penokohan, teknik penggambaran penokohan, Kinkakuji
Evaluación de un Sistema jerárquico difuso, utilizando conceptos compuestos difusos en sistemas de terapia asistida por computadora

Fuzzy logic systems provide a set of proven tools and methods to imitate or emulate human basic reasoning, that is, transform it into instructions that the computer can understand or transform into binary instructions. Based on the structure with multiple layers, subsystems and varied topologies that in previous research have shown that fuzzy hierarchical systems have been used to improve the interpretability, in this research work the objective is to design a fuzzy hierarchical system using fuzzy composite concepts artificial intelligence compounds to measure the efficiency of simulated scenarios. As a fundamental part of the present investigation, an analysis is made of the sensitivity of the results of the fuzzy system with respect to its inputs and with a set of membership functions, in a virtual scenario; which allows demonstrating the advantages obtained by applying a fuzzy hierarchical system to systems oriented to the area of health.
The Adjacency Graphs of a Class of LFSRs and Their Applications*

Nonlinear feedback shift registers (NFSRs) are widely used in communication and cryptography. How to construct more NFSRs with maximal periods, which can generate sequences with maximal periods, i.e., de Brujin sequences, is an attractive problem. Recently many results on constructing de Bruijn sequences from adjacency graphs of Linear feedback shift registers (LFSRs) by means of the cycle joining method have been obtained. In this paper we discuss a class of LFSRs with characteristic polynomial p2(x), where p(x) is a primitive polynomial of degree n ≥ 2 over the finite field F2. As results, we determine their cycle structures and adjacency graphs, and further construct a class of new de Bruijn sequences from these LFSRs.
An Evaluation of Predictive Accuracy of Common Machine Learning Algorithms on Data Stream

Streamed data are a potentially infinite sequence of incoming data at every high speed and may evolve over real-time. This causes several challenges in large scale high-speed data streams in real-time applications. Hence, this field has gained a lot of attention from researchers in recent years. In recent times, there are several areas of human endeavors where data generated are periodical or constantly growing. For instance, capital market, social networks, metrological data, E-commerce, online gaming and betting platforms. This research implemented the common machine learning algorithm on data streams and random data sets to describe the kind of data with more accurate predictions. Data samples were obtained from social media platforms such as Twitter and Instagram within the periods of 4th to 15th February 2019 with a total of 510,738 data samples collected. This is due to the sheer size of these platforms. Random forest, multi-layer perceptron and the k-nearest neighbor algorithms were used to model the data streams using the WEKA and RapidMiner data mining programs. The result of the research shows that Multilayer Perceptron produced the highest level of accuracy in both programs used when compared to the other algorithms used in the research. The findings of this research will be relevant to other researchers willing to develop machine learning tools to test the accuracy of data streams on social media platforms and related fields.&nbsp
A Victim-Focused Response to Repeat Fraud and Computer Misuse Crimes: Challenges and Opportunities through Admin Data Linkage

Background with rationaleThe volume of Fraud and Computer Misuse victimisation in the UK is estimated to be nearly equivalent to all other crime types combined. Alongside this, the Victims’ Charter establishes enhanced rights for vulnerable victims, a category which includes repeat victims, placing a responsibility on criminal justice agencies to assess vulnerability and respond accordingly. However, identifying repeat victimisation is challenging and the relationship between reported repeat victimisation and vulnerability requires empirical scrutiny.&#x0D; Main aimThis presentation draws on PhD research funded by the Economic and Social Research Council (ESRC) and conducted in collaboration with the Southern Wales Regional Organised Crime Unit (ROCU), to profile victims of fraud and computer misuse in Wales. It presents the methodological challenges and lessons learnt from linking administrative crime records to identify and profile repeat victims of fraud and computer misuse across the four Welsh police forces.&#x0D; Methods/ApproachThis research utilised a sample of all incidents reported within the Welsh police force areas over a period of two years (1st October 2014 to 30th September 2016). A mixture of exact and probabilistic matching was used to match records relating to the same victim, leveraging R’s RecordLinkage package in conjunction with Tidyverse. A variety of descriptive and inferential statistics were used to summarise key relationships within the resulting linked dataset.&#x0D; Results &amp; ConclusionLinking crime records presents considerable methodological challenges related to data quality and the availability and accessibility of linkage tools. These difficulties impair the assessment of vulnerability which is demanded of criminal justice agencies. Despite their limitations however, crime records can be used to provide new insights into the nature of repeat victimisation and the characteristics of victims who report being repeatedly victimised.
Approaches to the definition of the concept of "information culture"

This article discusses the main approaches to the definition of "information culture".With a view to identifying the substantive characteristics of the concept of "information culture", discusses the basic approaches to the study of the phenomena in more detail.In article special importance is given to the analysis of the information culture in the civilization aspect and the consideration of information culture as one of the facets of human culture as a whole.Undertaking attempts to use to analyze the concept of "information culture" interdisciplinary approach highlighted several aspects of its investigation.
Modernization of educational content through the introduction of pedagogical innovation in primary education

In this article ideas about teacher's innovation activity in modernization the meaning of education by using pedagogical innovation in practis are given.
PENGARUH LEARNING CYCLE 5E TERHADAP LITERASI SAINS PESERTA DIDIK PADA MATERI SISTEM EKSKRESI

The purpose of this research to determine the influence Learning Cycle 5E model to student literasi science on system of excretion in class VIII SMP Negeri 14 Tasikmalaya. This study was conducted in Desember 2017 until July 2018 at SMP Negeri 14 Tasikmalaya. The research method that True-experiment, population of the entire class VIII SMP Negeri 14 Tasikmalaya as many as 11 classes, with the amount of learners 387 people. The sample were taken useing cluster random sampling, there are VIII C as an experimental class and VIII B as an control class. To measure student literacy science, the instrument used in the from of literacy science test amounted to 32 items in the from of multiple choice. Technique analysis of data used t test with significant level α 0,05. The results showed there is influence Learning Cycle 5E model to student literasi science on system of excretion in class VIII SMP Negeri 14 Tasikmalaya. Keywords: Learning Cycle 5E, Literasi Science, System Excretion
Um jogo sério aplicado à saúde com foco em epidemiologia: Apoena

This paper presents a prototype of a mobile application based on an epidemiological system, using an educational game to promote voluntary participation and disseminate environmental awareness in the fight against Dengue in public schools in . The Apoena Game is based on the agile methodology and uses the Construct 2 platform. The post-production game offers mechanisms for decision-making and spatialization of data obtained from real-life Dengue focuses, helping the discussion in schools on environmental awareness and health problems stemming from lack of basic sanitation.
Gaussian Normalization: Handling Burstiness in Visual Data

The following topics are dealt with: learning (artificial intelligence); object detection; feature extraction; video surveillance; video signal processing; convolutional neural nets; cameras; image classification; image motion analysis; neural nets.
The Analysis of Cultural Content in Two EFL Textbooks Used at SMA IT Iqra’ And SMKN 1 Bengkulu City

The aims of this research were to find out how cultural dimensions were displayed, what culture was the most dominant, and the percentage of local culture in textbooks used at SMA IT IQRA? (Pathway to English) and SMK N1 Grade X (Bahasa Inggris by KEMENDIKBUD) Bengkulu. This research applied content analysis study with descriptive qualitative analysis. The procedures used in data collection were document review and observation. In analysing the data, the concept by Mile and Huberman was applied. The study revealed that from the two textbooks, there was a difference in terms of dominance in cultural types and dimensions. In Pathway to English, there was38 % items of aesthetic sense, 32% of pragmatic sense, and 26% of sociological sense. Semantic sense had the least representation which was only 4%. In cultural types, there was (50%) for target culture, 44% for local culture, and 6% for international culture. As for Bahasa Inggris by KEMENDIKBUD, there was 44% for asthetic sense, 25% for sociological sense, 22% for aesthetic sense, and 8% for semantic sense. Local culture has most items to occur, which reached 47 percent, followed by target culture which was 41%. The last is international culture with 11% of occurrence. It is highly recommendable that teachers apply the books with more cultural dimensions and types to hep students broaden their cultural knowledge and awareness.
A Realtime Algorithm for Distinguish Obstacle from Accessible Area in 3D Scene

Abstract A learning algorithm based on Hidden Markov random field model is designed, and three-dimensional data is extracted, and the robot is used as an experimental platform. In the process of recognition, obstacle areas and feasible areas are distinguished by template matching, and the accessible areas and obstacle areas of the scene around the robot are obtained by classification results. According to the state of the robot itself, the position and direction vectors of the robot are calculated. The robot adjusts its attitude under the control of the output vector, so as to avoid obstacles and move to the target point. Finally, it is proved that the experiment has ideal real-time performance, so it has an extensive practical application foundation.
PERAN PERPUSTAKAAN DALAM MEMBANGUN CITRA PERPUSTAKAAN DI ERA TEKNOLOGI INFORMASI

&lt;p&gt;Library as a source of information is expected to become a life-long learning for&lt;br /&gt;pemustakanya. Currently, the library has adopted a variety of information technology development in order to provide various services to the pemustakanya. Therefore, the image of the library should be built in order to thrive in this era of globalization. A good library can be seen and measured on their success in meeting the needs of the user and can serve with the capabilities to society user. By building a positive image of the library, where the library will bring and develop the image of the institution, both within and outside of their parent institutions. In meeting the needs of improving&lt;br /&gt;the image of the college library, then the library must have a strategy three (3) pillars of the main image. First, build an image library (image building), both improve the image of the librarian (librarian image), and the three libraries based on information and communication technology or Information and Communication Technology (ICT based). With developed a library based on information and communication technology. or Information and Communication Technology (ICT), both in the management information system of the library and digital library, then the library can provide services to the maximum, comfort, convenience to library users, convenience to the librarian staffs, good in service and processing as well in implementing strategies for, library development. This of course will improve the image of the library in providing convenience facilities library services provided to the user. &lt;/p&gt;&lt;p&gt;Keywords: the role of libraries, image libraries, ICT&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Dip Constrained Migration Velocity Analysis and Interpretative processing

In pre-stack depth migration processing f low, there is the important step of v elocity estimation.Migration v elocity Analy sis (MVA) is one of most used method in the seismic industry .In this work we describe the MVA workf low that takes into account the dip of lay ers to automatically increase geologic inf ormation as a regularization procedure in inv ersion.We apply the workf low in a real data set f rom Campos Basin detailing the shallow region.The experiment clearly shows the importance of interpretation team interacting during processing.Particularly f or the studied area, MVA deliv ers v elocity field consistent with geologic ev olution of the site.
MENGEMBANGKAN BUDAYA BACA TULIS SEBAGAI PROSES MEMBENTUK KARAKTER

A strong correlation exists between reading ability and writing ability. Reading&lt;br /&gt;is the window of the world. To produce quality writing then requires the process of&lt;br /&gt;internalization of knowledge by reading. Reading can build a person’s character,&lt;br /&gt;ranging from the appearance of taste, then there is interest, created habits, until&lt;br /&gt;finally formed the character of reading. Subsequently writing becomes a process of&lt;br /&gt;externalization of knowledge, from what is thought then poured it into writing. Writing&lt;br /&gt;media can be either printed documents or through online documents. Thus, writing is&lt;br /&gt;essentially a process of thinking. Critical thinking and problem-solving skills are the&lt;br /&gt;outputs of competence that a person must have after he reads.&lt;br /&gt;Keywords: reading, writing, character, reading culture,critical thinking
A Highly Configurable 7.62GOP/s Hardware Implementation for LSTM

The neural network has been one of the most useful techniques in the area of speech recognition, language translation and image analysis in recent years. Long Short-Term Memory (LSTM), a popular type of recurrent neural networks (RNNs), has been widely implemented on CPUs and GPUs. However, those software implementations offer a poor parallelism while the existing hardware implementations lack in configurability. In order to make up for this gap, a highly configurable 7.62 GOP/s hardware implementation for LSTM is proposed in this paper. To achieve the goal, the work flow is carefully arranged to make the design compact and high-throughput; the structure is carefully organized to make the design configurable; the data buffering and compression strategy is carefully chosen to lower the bandwidth without increasing the complexity of structure; the data type, logistic sigmoid (σ) function and hyperbolic tangent (tanh) function is carefully optimized to balance the hardware cost and accuracy. This work achieves a performance of 7.62 GOP/s @ 238 MHz on XCZU6EG FPGA, which takes only 3K look-up table (LUT). Compared with the implementation on Intel Xeon E5-2620 CPU @ 2.10GHz, this work achieves about 90× speedup for small networks and 25× speed-up for large ones. The consumption of resources is also much less than that of the state-of-the-art works.