Reviewerly/exHarmony huggingface dataset:
TEACHER’S STRATEGIES IN TEACHING READING AT SMP SWASTA MULIA PRATAMA MEDAN

Teacher’s strategies in teaching reading is an attempt to attract students’ attention to learn reading comprehension in the classroom. This research was conducted to find out the strategies of the teacher in teaching reading at SMP Swasta Mulia Pratama Medan and how the teacher applied the strategies in teaching reading, also the reason of the teacher applied the strategies. The researchers used descriptive qualitative method. The subject of this research was English teacher at seven grade of this school. The instruments of this research were classroom observation and interview. The researchers find out the teacher’s strategies in teaching reading, namely Reciprocal Teaching Strategy and QAR strategy. The teacher used these kinds of strategies to make students focus and can easily understand the meaning of the texts, and the teacher also can easily teach reading in the classroom. ABSTRAK Strategi mengajar membaca adalah usaha yang digunakan guru dalam menarik perhatian siswa untuk belajar membaca di kelas. Penelitian ini dilakukan untuk mengetahui strategi guru dalam mengajar membaca di SMP Swasta Mulia Pratama Medan dan bagaimana guru menerapkan strategi dalam  mengajar membaca serta alasan guru menerapkan strategi tersebut. Peneliti menggunakan metode deskriptif kualitatif. Subjek penelitian ini adalah guru bahasa Inggris di kelas tujuh di sekolah tersebut. Instrumen penelitian ini adalah observasi kelas dan wawancara. Peneliti menemukan strategi guru dalam mengajar membaca, yaitu Strategi Pengajaran Reciprocal dan strategi QAR. Guru menggunakan kedua strategi ini agar siswa lebih fokus dan dapat dengan mudah memahami makna teks, dan guru lebih mudah untuk mengajar membaca di kelas. Keywords: Strategi, mengajar, membaca
A Study on the Combination of Narrative and Intertextuality as Pedagogical Method

The purpose of this study is consideration and some suggestion which is leads extension of pedagogical research method and comprehensive surface on education(pedagogy). In narrow, this article has a trial for new academic discourses and methodological one through overcoming on intolerance and preponderance in studying narrative. Research methodology of this study is text-interpretation and the range of examination is Confucian and Levinson’s work. Researcher endeavored possibility and necessity for narrative research by combination of narrative and intertextuality. Core content of text-interpretation on Confucian and Levinson is context of discourses, internal consistency between two thought by systematical concern on narrative and intertextuality. In the dimension of inter relationship on narrative identity, the result of this examination is as followings. Firstly, if we make up some criteria as person, nation, community, in spite of periodical gap, we can draw out on current meaning. Secondly, in the spite of the difference of culture and morality, we are able to discover on internal consistency in common idea about human education and an image of educated man. Thirdly, in the western thought the ideal existential goal of human being is ethics of morality, on the other hand, in eastern that is ethics of caring. In spite of difference of geographical space and thought, we can make a discovery on educational meaning which is sustainable and contriving for harmony of man and nature. In conclusion, by the trial on new challenge which leads a extension and on pedagogical method we can confirm the fact on adult education as followings. Human beings on the education will be accomplished through all life span and space, the objective of education is ethical achievement. The essence of pedagogical ecology is self realization and approaching over that by sustainable self-discipline through long life span.
Alfabetización y alfabetización digital

One of the results of the incorporation of technologies in people's lives is the need to provoke digital literacy processes, however, the prelude to this type of literacy is traditional literacy, that is, the one that relates to Basic skills to write and understand a written text efficiently. To address this situation, several projects have been designed to exploit the advantages offered by technologies, mainly in the field of education, however, we are not certain that these projects are getting citizens to be involved in the digital scenarios, for The above, the objective of this paper is to describe the relevance of digitally literating people from a functional context where the intention to teach reading and writing is overcome to meet the challenge of teaching to understand the various communicative manifestations that can be found in the contemporary world and those that can be accessed through technologies to use information in a practical way and transform it to achieve new linguistic socializations.
Study the Impact of Trade Openness on Poverty in Iraq in Light of Economic Instability Using the Error Correction Model (ECM)

The research treated the study and the analysis of the policy of trade openness and its impact on reducing the problem of poverty in Iraq.The research aims to assess the policy of trade openness and its impact on addressing the problem of poverty for the period (1997-2017) using the error correction model, in order to map the future economic policies.It is concluded that there is no vital impact of trade openness in reducing the problem of poverty in Iraq.The research suggested that a comprehensive strategy should be adopted to stimulate productive economic sectors to benefit from the advantages of trade openness and to address poverty.
Si un dia el olvido

Background: This event involved the commercial release of Si un dia el olvido..., a virtuoso work for solo guitar composed in 1992-6, recorded for the first time by New Zealand guitarist Campbell Ross for the Parma Recordings-Ravello Records in the US. Contribution: The triptych presents attractive technical and artistic challenges for the virtuoso performer. slow paced first movement offers abundant situations to shape expression through extreme control of colour and dynamics. second movement presents virtuosic running figures that are fast pulsing yet highly lyrical –much in the manner of an aria for soprano coloratura. third movement challenges the performer to achieve cohesion while transiting passages of sudden contrasts, ambiguous direction, and mystifying emotional flow. Significance: The balanced combination of refinement of language and technical demands received praise from the highly trained performers, such as the words from Professor Ken Keaton, first PhD in Guitar in the US: The music is dissonant but not expressionist, and programmatic but not specific -fascinating stuff, ... It was worth the wait.
Evaluation of different body tracking configurations in the sense of presence and embodiment

Innovations in virtual reality have boosted their use for business purposes and personal consumption. The main objective of this technology is to transport the user to virtual environments. The use of avatars to replace the user's body in these environments increases the levels of presence and embodiment of the user. Through the inverse kinematics it is possible to animate the avatars according to the data obtained in sensors scattered around the user's body, replicating the movements in a avatar. These sensors can vary in number offering different levels of fidelity in the tracking of the human body. In this paper, we study the impact of the number of sensors used in the presence of the user and in the embodiment of the avatar, using three, five and six tracking points. The results show that there is no statistically significant differences in presence nor in any of its sub-scale, however one can observe a positive trend in the 6-points conditions. As for embodiment, the results show that there is statistically signifficant differences in some of presence sub-scales, namelly tactile sensation, response and in the embodiment as a whole.
Improving Students’ Class Participation by Optimizing The Use of Think-Pair-Share Technique

An effective and successful language learning process can only be achieved when students actively participate in the class. This research aimed to improve students’ class participation by the optimization of  Think Pair Share (TPS) technique. This re­search was conducted as classroom action research whose subject was the tenth grade students of DPIB B class in a vocational highschool in Surakarta in the academic year of 2018/2019. The data were gathered from the research instruments, such as: observa­tion, interview, questionnaire, research diary, and photographs. The data were analyzed using both quantitative and qualitative. The findings of the research showed that imple­mentation of TPS was successful in improving students’ participation with the increase in the number of: (1) students asking and answering questions; (2) students’ interaction during the class; (3) students paying their attention during the class; (4) students inter­acting during group discussion; and (5) students speaking in front of the class. There were also some challenges that the researcher faced during the implementation of TPS technique, such as: (1) the familiarity of the technique to the students; (2) teacher’s control of the class; (3) students’ readiness in receiving the lesson; (4) difficulty in ex­pressing opinion and ideas; (5) lack of confidence in speaking; (6) low grammar mas­tery; and (7) lack of vocabulary.
Penerapan Algoritma Naïve Bayes Dalam Penentuan Kelayakan Penerima Kartu Jakarta Pintar Plus

The eligibility of Jakarta Smart Card Plus recipients is still not on target due to subjective receipts. Schools has an important role in making decisions about the eligibility of Jakarta Smart Plus Card recipients. Therefore, the authors make this research using data that already exists or is called training data. The author uses the Naïve Bayes method with 7 independent attributes to knowing eligibility. The author also uses the another application Rapidmined 5.3 to test the accuracy of the Naïve Bayes method. The result of this research the accuracy of determining the eligibility of Jakarta Smart Plus Card recipients are good with 98.88% with an error of presentation 2.22%. So it can be concluded that the naive bayes method can help detrermine the eligibility of jakarta smart plus card recipients. Keywords: Jakarta Smart Card, Naïve Bayes, eligibility
Meanings and Effects of Narrative Curriculum Implementation in Teacher Learning Community

The purpose of this study was to analyze the implications of the curriculum implementation through teachers' learning community experience and its influence. In order to obtain the results of in-depth research, the mixed research methodology was applied in this study. For qualitative research, we interviewed and analyzed the experiences of curriculum implementation in teacher learning community process. The subjects of the quantitative research were 80 children ages 4 years and examined the relationship between teachers and student over 5 months. The results of this study were as follows: First, learning community experience embodied the meaning of teacher 's curriculum implementation and proposed the composition of teachers' own curriculum theory. Second, the teacher's learning community experience influenced the relationship between teacher and young children.
A Dynamic Real-Time Three-Dimensional Attitude Reconstruction Method Based on Multi-Core Optical Fiber Subtitle as Needed

In order to solve the problem of three-dimensional (3D) pose and shape detection, a 3D shape detection method based on multi-core fiber distortion compensation was designed. This method is a 3D shape detection method based on three-core fiber grating array, which adopts interpolation, cyclic iteration and distortion compensation method. The simulation results show that this method can achieve high precision 3D shape detection.
An Adaptive QP Adjustment of Multimedia over Heterogeneous Wireless Networks

When videos are transmitted to the moving vehicle through heterogeneous networks, the mobility will frequently trigger the vertical handoff of networks. This may cause large fluctuation of channel bandwidth and will affect the Quality of Experience(QoE) of videos. In order to effectively solve the problem, an adaptive video transmission mechanism was proposed to guarantee the video quality. An information feedback link from the vehicle terminal was designed first. After analyzing the queue length of the vehicle receiver buffer and its future variation trend, the terminal fed back the judgment and prediction and the video's encoding Quantization Parameters(QP) were updated at the sender. Simulation results show that the variation of video encoding rates in our algorithm could properly adapt to the bandwidth fluctuation of heterogeneous networks. This mechanism not only makes full use of the wireless bandwidth resource, but also effectively avoids video interruption and ensures the video QoE.
Visual Testing for Graphics in R

This report describes the 'gdiff' package for R, which provides tools for performing visual tests on graphical output. Visual testing is essential for checking that code is producing the correct graphical output. The goal of the 'gdiff' package is to support a wide range of testing scenarios, including testing graphical output between different versions of R.
The Implementation Of Discovery Learning Model To Improve Students’ Learning Activities and Cognitive Abilities Of SMP Negeri 1 Wakorumba Utara

This study aims to improve student learning activities and cognitive abilities through discovery learning model on the material characteristics and classifications of living creatures in class VII 1 of SMP Negeri 1 Wakorumba Utara. This research was conducted in the 2nd semester of the academic year 2015/2016. This type of research is Classroom Action Research (CAR) with three learning cycles. Each cycle goes through four stages: (1) planning; (2) implementing actions; (3) observation and (4) reflection. The data source of this study was an assessment using observation sheets of student learning activities, evaluation questions as tests of cognitive abilities and observation sheets of teacher activities in cycle I, cycle II and cycle III. The data obtained were analyzed using descriptive analysis. The success of the learning activities of the students in cycle I achieved a mean score of 3.1, cycle II 3.5 and cycle III 3.5. The average achievement of the cognitive abilities of students in the first cycle was 66.36. Cycle II was 79.09 and Cycle III was 78.18. The mean achievement of teacher activity in the first cycle was 3.2, the second cycle was 3.6 and the third cycle was 3.7. Based on the results of the study concluded that the application of discovery learning models can improve learning activities and cognitive abilities of students on the subject matter of the characteristics and classifications of living creatures of class VII1 students of SMP Negeri 1 Wakorumba Utara. Keywords: Discovery Learning Model, Student Learning Activities, Student Cognitive Abilities
A Comprehensive Model for Analyzing the Opioid Crisis

The trend of opioids abuse is spreading across the United States, causing a serious crisis in society. In this paper, we construct a mathematical model to forecast the opioid abuse in five states in the United States and propose several precautions. Based on the description of opioid abuse obtained through Artificial Potential Field method, we apply ARIMA model for forecast. To improve the model, we establish a measurement involving socio-economic factors through Analytic Hierarchy Process and optimize relevant parameters by Particle Swarm Optimization. Based on the model, we propose warning mechanism and several policies dealing with opioid abuse. Evaluation shows that proposed policies are effective, and the comprehensive model is beneficial to the management of opioid crisis.
Forecasting Public Services Maladministration in Local Government

Good local government was characterized by public services did not carry out maladministration.Maladministration was an act that contradicted the law or principles that are the basis.Eradication of maladministration was a problem because people did not know the forms of maladministration that occurred.This study provided a solution for maladministration prevention through forecast the forms of maladministration in local government and eradication of maladministration by legal approaches.Forecasting maladministration on public services in local government would be able to produce an analysis of local government policies in the prevention of current and future maladministration, in addition to generating estimates of future forms of maladministration.This study would provide an impact that local government could make prevention efforts through responsive legal policies.In the future, the ombudsman as an institution that had the authority to oversee state apparatus, it would also be easier to prevent and eradicate maladministration if assisted by the use of information technology.
Visualization of the Decision Criteria in Testing Statistical Hypotheses on Programming in R (Rstudio)

Purpose: The case study addresses a development and justification of approaches to visualization of decision criteria in the problems of testing statistical hypotheses for a given distribution law (specifically, checking the distribution normality). Design/Methodology/Approach: The study describes a construction of graphical model that visualizes an application of criteria when testing statistical hypotheses for compliance with a given distribution law. This problem is solved in the language of statistical analysis R in the RStudio environment. Using the standard approach and focusing only on the P-value in relation to the chosen level of significance, the researcher cannot take into account the error of the second kind. However, analyzing the graphical representation of the behavior of the sample under study, one can conclude whether the value of the obtained P-value corresponds to the real assumption that the sample corresponds to a given distribution law. Findings: The research case proposes a new approach to testing statistical hypotheses on the compliance of a sample with a given distribution law, using visualization tools and allowing a researcher having even a little experience with the R language to solve applied problems. Practical implications: The approach does not require an in-depth knowledge of mathematics and programming which can be used by experts in various fields of knowledge to successfully solve applied problems. The text of the article contains working scripts in the language R and graphical illustrations obtained with their help. Originality/Value: The main contribution of this study is to expand the variety of methods for testing statistical hypotheses. The proposed method extends the set of statistical problems successfully solved by means of R.
GREEN BUILDING DAN GREEN ARCHITECTURE

&#x0D; &#x0D; &#x0D; Architectural work cannot be separated from the activities of human beings as users. A thing is to be called good or has a high value if they function the way they are supposed to. As time goes by, architectural work is used not only to fulfill the need of space but also to have innovation in its design so that it is an environmental friendly, make lower the impacts that are damaging or even destroying the environment. The method is used in this paper is a literature study and observation of the case study. Based on the needs of the users, good architecture is the one that meets the needs of the users, the architectural functions, and is able to diminish the bad impacts toward the environment. Green building that is used in this case study fulfills the six architectural functions such as methods, use, need, telesis, association, and aesthetics. Architectural work is considered good when it meets the user’s need for space, is using a minimal amount of resources during the development as well as maintenance and makes lower impacts for the environment. &#x0D; &#x0D; &#x0D;
Media Desain Berbentuk Promosi SMK Prudent School Tangerang

Information becomes the keyword of various aspects of life, for this reason it is attention to process. SMK Prudent School needs a poromosi design media to promote SMK Prudent School to prospective students and schoolgirls of SMK Prudent School that will enroll. In this concept, there are results of promotion design SMK Prudent School. In order to produce media design based on good promotion and quality used applications Adobe Photoshop support.
Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle

The automated 3D echocardiography segmentation on left ventricle (LV) is very important for clinical evaluation of LV function. However, the segmentation is difficult due to the 3D echocardiography’s challenges, such as the low signal-to-noise ratio, indistinguishable boundaries between LV and other heart substructures, and limited annotation data. This paper aims to propose a novel method to achieve accurate 3D echocardiography segmentation on LV, based on a weakly supervised deformable network. The deformation network was optimized by generative adversarial constraint and volume similarity constraint. The proposed framework was trained and validated on 3D echocardiography datasets which including 70 patients (35 train patients and 35 test patients). The results demonstrated the proposed method is relatively accurate and has potential for further research and application.
Safeguard your practice from a data breach

What actions should a medical practice take to protect itself from a data breach? This expert weighs in.
PyRun - Shipping the Python 3.7 runtime in just 4.8MB

Python has become the defacto standard tool for many people to write tools, command scripts, smaller applications and even large applications. On Windows, it is fairly easy to build application bundles using e.g. py2exe, but on Unix, the situation is less obvious, unless you want to rely on OS specific Python distributions, which often require severall 100MB with of installation on the system and are usually customized in distribution specific ways. Instead of relying on OS Python distributions on Unix, our open-source eGenix PyRun provides a more or less complete Python runtime (interpreter and stdlib modules) in a single file, which can be installed by simply copying the binary to the destination system. The file can be as small as 4.8MB for Python 3.7, by using compressors such as upx. Due to its size, it's also the perfect Python distribution for Docker containers. The talk will show how PyRun works, is built, how to customize it to include additional modules and applications.
Micro-Blog Sentiment Analysis Based on Multi-Channels Convolutional Neural Networks

The social platform based on the short text has gradually become the central platform for the public to express their ideas and opinions. And short-text social platforms such as Micro-blog are popular among the people because of their massive user volume, strong interaction, and real-time convenience. Therefore, the sentiment analysis task of short text platform has become a critical and challenging task since this data has its unique characteristics, such as the number of words limited to 140 words, the topic mode, whether the user is authenticated, etc. The sentiment analysis task in such an environment requires some non-traditional methods. At present, the traditional text sentiment analysis mostly makes sentiment judgment on the content while ignoring the information unique to the user and its platform. This paper proposes a multi-channel convolutional neural network model based on user multi-features, which contains other individual details of a short text. By evaluating on two sets of data sets show that the proposed model is better than the current improved CNN model and LSTM model. It can prove that the short text-specific information is beneficial to the sentiment analysis task and provides a deeper understanding of the text for the classifier.