Reviewerly/exHarmony huggingface dataset:
PENGARUH MODEL PEMBELAJARAN TTW (THINK TALK WRITE) TERHADAP KETERAMPILAN MENULIS KARANGAN PENDEK BERTEMA YOKU SOJI O SHIMASU SISWA KELAS XI IPA SMAN MODEL TERPADU BOJONEGORO

The ability to write essay is one of the important things in learning languages, included Japanese. However, based on interview tests conducted at the SMA Model Terpadu Bojonegoro, it was found that students ability to write are weak, so the Think Talk Write learning model was applied to improve students' writing abilities. Therefore, a TTW (Think Talk Write) learning model applied to make it easier for students to write essays. This research is a qantitative type of pure experimental research (true experiment design). In the control class drill and assignment method were used as learning model, while in the experimental class TTW (Think Talk Write) used as learning model. The data used are pre-test and post-test for the controlclass and student questionnaire responses for the experimental class. The results of this study are asym.sig. (2-tailed) 0.678&gt; 0.05 then Ho is accepted and Ha is rejected, in other words there is no effect of the application of the Think Talk Write learning model to students' short essay writing skills. While it is known from the calculation results of the questionnaire studeents' responses to the TTW learning model that on average items 1 to 5 show sufficient criteria (41% -60%) very strong (81% -100%), and it can be concluded that the TTW learning model is suitable for applied in Japanese learning.
Pengaruh Penggunaan Metode Cooperative Integrated Reading and Composition (CIRC) terhadap Keterampilan Literasi Informasi ditinjau dari Hasil Belajar Sejarah Siswa

This research was motivated by the low information literacy skills of students. This can be seen from the low skills of students in finding, processing, and presenting information. These skills can be seen through learning outcomes, because learning outcomes are a measure of the success of the learning process. Therefore, this study entitled "The Effect of Using the Cooperative Integrated Reading and Composition (CIRC) Method on Information Literacy Skills in terms of Student Learning Outcomes in History Learning (Quasi Experimental Research at Class X SMA Negeri 9 Bandung). The CIRC method is used in the experimental class by dividing students into small groups, which then each finding, processing, and presenting information, as well as making answers to problems. This study was conducted to examine the effect of using the Cooperative Integrated Reading and Composition (CIRC) method on information literacy skills in terms of student learning outcomes in history learning. The method used in this research is a quasi-experimental method with one group time series design. The research was conducted at SMA Negeri 9 Bandung. The instrument used to obtain data in the study was a written test in the form of multiple choice questions and a questionnaire. Based on the data obtained from the results of the calculation of the hypothesis test, the Sig. 0.004 0.05 so that Ho is rejected and Ha is accepted so that there is an effect of using the CIRC method on information literacy skills both for groups of students who have information literacy skills "Good", "Good Enough" and “Not Good”. Meanwhile, the results of the pretest and postest statistical tests show that there were differences in learning outcomes for groups of students who had information literacy skill “Good”, “Good Enough, or “Not Good before and after using the CIRC method. This can be seen from the increase in the average pretest-postest score and the gain index of each experimental class.
MRI based Breast Cancer Segmentation and Classification using Machine Learning Techniques

Presently, the death rate of breast cancer among women is in dangerous proposition in both developing and developed countries. This threat is addressed by the effective detection of breast cancer in earlier stages. Henceforth, the early detection of breast cancer enhances the probability of cure and survival rate. So, it is vital to develop an automated system for detecting the breast cancer in earlier stages. Magnetic Resonance Imaging (MRI) is the regularly utilized diagnosis tool for detecting and classifying the normalities and abnormalities of breast. This paper analysis the previous research carried-out in breast cancer detection and also explores the issues faced by the researchers in existing works. In addition, this paper assists the researchers for attaining better solution to the current problems faced in breast cancer detection.
Real Time Face Recognition and Tracking System with Multi-Camera Arrangement

Object tracking and face reorganization has received tremendous attention in the video processing community due to its various applications in video surveillance, traffic monitoring and so on. A single camera is not capable to scan 3d view of specified space. So, we use multiple cameras, placed in different sections of the area with overlapping region in field of view (FOV). Every camera will capture the video scene of itself FOV. The system is able to track human successfully by setting up correspondence between objects captured in multiple cameras. Thus, it saves the hectic job of manual tracking. There is a search window available for each object that gives the object’s trajectory. Tracking of object will be given by continuation of this process. For monitoring objects in areas like car parking, banks, hotels etc for security purpose, this system is best. Over the last couple of years, many algorithms and results have been presented for the problem of object tracking and recently the focus has been concentrated on real time person tracking with multiple cameras. Secondly, face detection is one of the best ways of identification. The main applications of automated face recognition are of biometric authentications and surveillances. Face recognition systems has became popular in biometric field as it is non intrusive and does not require the human interference. Up to that, there is no solution or technique that provides robust methods. This paper presents the detection of the face of the person, recognize and do tracking with use of multiple web cameras. Generally in daily camera security systems, cameras have been continuously remain on and large data storage is required in the system. In this real time object tracking system, Infrared sensors are used which indicates presence of person or object. Cameras will turn on only when object is detected by sensor after then the face recognition is carried out. It has capability of high speed processing and achieved low computational requirements. In similar areas, efficiency, accuracy, and speed of identification are the main tackled issues.
XSS Vulnerability Assessment Procedure and Mitigation for Web Application

CSS is one of the foremost routine vulnerabilities that affect many web applications. XSS attacks are essentially malicious injections (client-side) that are added to an internet page or app through user comments, form submissions, and so on. The most danger behind XSS is that it allows attackers to inject content into the online app. The injected content can modify how it's displayed, forcing the browser to execute the attacker’s code. Web vulnerabilities are developed for scanning whole webpage of internet sites. Vulnerability Assessment is that the process of identifying vulnerabilities in your application’s environment. Vulnerability is defined as a weakness or flaw within the system that permits an attacker or insider to access the system during a way they’re not authorized.
Method for accurately identifying local fuzzy features of sprinting video images

In order to improve the recognition ability of sprinter video image features, a method of image local fuzzy feature recognition based on edge contour feature matching was designed. Based on the model of image visual feature sampling, the spatial block region planning is carried out. The attitude determination model of the local fuzzy region is established, and the local fuzzy features are extracted by combining template matching and wavelet multi-scale decomposition. Block recognition and information enhancement technology are used to enhance the fuzzy region information so as to extract the edge contour feature set of the fuzzy region and realise the accurate recognition of the local fuzzy features of the image. The simulation results show that this method can accurately identify the local fuzzy features of sprint video images, and the highest recognition accuracy can reach 95.7%.
Towards a Dynamic Multi-Agent Based Scaffolding Framework

Students have different abilities, skills and background and thus the corresponding learning process is different. Moreover, the teacher strategy, the available equipment, etc, play a crucial role in the learning curve. Scaffolding is a learning approach for dynamically supporting student during the learning process. The final goal is to restrict this support and to increase the student autonomy. This paper presents a basic idea for developing a dynamic multi-agent computer based scaffolding framework. Multi-agent technology constitutes an adaptive approach regarding the needed scaffolding. This paper also shows the modelling approach regarding the multi agent concepts. Finally, some theoretical indicative learning paths for different students are presented.
Information Technology The Survival Of Professional Education In Economic Crises

The article is devoted to the current direction of application of information technologies in professional education in the conditions of the modern economic situation.The global spread of the pandemic requires the search for adequate forms of professional education and professional development in conditions of self-isolation.Information technologies, which have a huge educational potential due to their network and interactive capabilities, have contributed to the introduction of alternative forms of implementation of the educational process.Positive results in the new economic conditions were achieved thanks to distance education.Its forms, such as e-learning and mobile learning, have allowed teachers and students to successfully complete the academic year, and they are optimistic about the possibility of a second wave of coronavirus.The article deals with the main problems of organizing such education.Taking into account the fact that distance education was not widely used in Russian pedagogical practice until this year, and we have not yet accumulated sufficient scientific and practical experience in this area, our research based on the materials of dissertations of American and Canadian scientists.The material presented in the article is presented in the context of comparative pedagogy.The North American experience of organizing and implementing distance education, which we have learned from original research, is supplemented by the results obtained by the authors when implementing e-learning at their University.The article offers a classification of existing problems in the implementation of distance education, reveals their essence, and provides an analysis of the results obtained.
Multimodal Information Fusion for Human Action Recognition

&lt;p&gt;This thesis presents three frameworks of human action recognition to facilitate better recognition performance. The first framework fuses handcrafted features from four different modalities including RGB, depth, skeleton, and accelerometer data. In addition, a new descriptor for skeleton data is proposed that provides a discriminative representation for the poses of an action. Since the goal of the first framework is to find a more discriminative subspace, a generalized fusion technique Multimodal Hybrid Centroid Canonical Correlation Analysis (MHCCCA) is proposed for two or more sets of features or modalities. The second framework fuses handcrafted and deep learning features from three modalities including RGB, depth, and skeleton. In this framework a new depth representation is introduced that extracts the final representation using Deep ConvNet. The proposed fusion technique forms the backbone of the framework: Multiset Globality Locality Preserving Canonical Correlation Analysis (MGLPCCA) for two or more sets of features or modalities. MGLPCCA aims to preserve the local and global structures of data while maximizing the correlation among different modalities or sets. The third framework uses the deep learning techniques to improve the long term temporal modelling through two proposed techniques: Temporal Relational Network (TRN) and Temporal Second Order Pooling Based Network (T-SOPN). Additionally, Global-Local Network (GLN) and Fuse-Inception Network (FIN) are proposed to encourage the network to learn complementary information about the action and scene itself. Qualitative and quantitative experiments are conducted on nine different datasets demonstrating the effectiveness of the proposed framework over state-of-the-art methods.&lt;/p&gt;
Prototyping Transparent and Flexible Electrochromic Displays

This course is a hands-on introduction to the fabrication of flexible, transparent free-form displays based on electrochromism for an audience with a variety of backgrounds, including artists and designers with no prior knowledge of physical prototyping. Besides prototyping using screen printing or ink-jet printing of electrochromic ink and an easy assembly process, participants will learn essentials for designing and prototyping electrochromic displays.
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN DENGAN KETERAMPILAN MENULIS TEKS BERITA SISWA KELAS VIII SMP NEGERI 8 PADANG

ABSTRACTThe purpose of this study is to describe the following matters. First, it describes the reading skills of students in class VIII of SMP Negeri 8 Padang. Second, describe the news writing skills of VIII students of SMP Negeri 8 Padang. Third, it describes the correlation between reading comprehension skills and news writing skills of eighth grade students of SMP Negeri 8 Padang. This type of research is quantitative research with descriptive methods. The results of this study are three. First, reading comprehension skills of eighth grade students of SMP Negeri 8 Padang are in good qualifications. This was concluded based on an average count of 81.13. Second, the writing skills of news texts for eighth grade students of SMP Negeri 8 Padang are in good qualifications. This can be seen from the acquisition of the average news text writing test count of 81.25. Third, there is a significant correlation between reading comprehension skills and news writing skills of VIII grade students of SMP Negeri 8 Padang at n-1 degrees of freedom and a significant level of 95%. The null hypothesis is rejected and the work hypothesis is accepted because the test result prove the t value is greater than t table 3.81 &gt; 1.68. Based on the result of the study above, it was concluded about the knowledge of reading skills in reading news texts of eight grade students of SMP Negeri 8 Padang.Kata Kunci: korelasi, membaca pemahaman, menulis teks berita
Video Object Detection for Police Surveillance using Deep Learning

Human vision is incredibly excellent and complex. In the previous years, people made significantly more leaps to expanding this visual capacity to machines. Cameras have been used as the eyes of computers.In response to increasing anxieties about crime and its threat to security and safety, the utilization of substantial numbers of closed-circuit television system (CCTV) in both public and private spaces have been considered a necessity. The use of these significant video footages is essential to incident investigations.But as the number of these systems rises, so as the need for human operator monitoring tasks.Unfortunately, many actionable incidents are utterly undetected in this manual systemdue to inherent limitations from deploying solely human operators eye-balling CCTV screens.As a result, surveillance footages are often used merely as passive records or as evidence for post-event investigations. This study aimed to develop a real-time firearm detection using deep learning embedded in CCTV cameras that pushes alert notifications to both iOS and Android mobile devices.This research used a descriptive design and asked IT experts to evaluate the develop system based on its compliance to ISO 25010 standard. Moreover, confusion matrix and intersection over union (IoU) were used to evaluate the performanceof the system.The detection system was found to be highly recommended in urban areas particularly for CCTVs found in barangay streets and establishments.
Comments on the manuscript nhess-2019-292

This manuscript reports on a how a modelling study was used to obtain a relation between the duration of seawater pollution events and rainfall volume.Two models were used: an urban drainage model to simulate combined sewer overflows (CSOs) and a hydrodynamic model to simulate the spread of pollution in the nearshore area.This work contributes to the existing body of literature on the impact of CSOs on the water quality.In my opinion, the scientific significance and scientific quality are good, while the presentation of the manuscript can be improved. GC1 C1
Effectiveness, Efficiency, and Instruction Appeal of Blended Learning Model

The practice of learning, to acquire success, has so far been measured by the level of effectiveness with a percentage range from 0% to 100% and converted into values E to A. While in the science of knowledge, learning outcome is measured by effectiveness, efficiency, and attractiveness. Dwiyogo's research (2013, 2014, and 2015) developed a tuition design model that combines face-to-face schooling using offline resources (print, audio, video, computer) and online knowledge training (internet and smart phones) known as Blended Learning-Based Instruction Design Models. Numerous studies have been conducted to test the potency, capability, and fascination of learning. However, the objectives of this study with respect to Dwiyogo’s model are: (1) examining experts on it usage, (2) applying the model in courses, and (3) testing the productivity, and capability. This research makes use of the survey and quasi-experimental design methods. The data consists of a total of 3 experts, 113 students, and 6 teachers with result showing that the blended learning model using eight items produced huge output (= 4.750, SD = 0.361). Based on the components of the expert test, it can be concluded that the learning model developed is appropriate and can be implemented. Student opinion with respect to this model showed a high level of agreement (= 3.415, SD = 0.536). This shows that students who applied blended learning based instruction models responded positively to its implementation. Therefore, this technique can enhance knowledge thereby, making the act of efficient, effective, and instruction appeal.
Prosumeristic Publications: alt+yd

This article describes the design process followed in the making of a prosumerist publication.Alt+yd is a printed zine that goes beyond one-way communication with its readers.It takes into account the reactions of Instagrammers to its digital publication and using a program, incorporates it into its printed self.Inspired from the Open Source and Open Data culture, project alt+yd reflects upon the kind and medium of content most consumed today, and the relevance and possible adaptations of traditional media to keep in pace with emerging digital culture.
Constraints Faced in the Usage of Contemporary ICT Tools

The study was conducted in Kanyakumari district of Tamil Nadu during 2018-19 with the objective of understanding constraints faced by rural youth on Information and Communication Technology (ICT) tools usage. Experimental research design was used. Exactly 160 rural youth respondents who are involved in farming were selected using purposive sampling method in a random manner. The ICT tools experimented with the rural youth were Video, Multimedia slides, Whatsapp, Web page and Mobile application. These ICT tools and platforms were selected based on the data collected through pilot survey. The constraints were ranked based on its percentage. The major constraints included, difficulty in understanding the functions of ICT tools followed by lack of location-specific information and insufficient ICT infrastructure facilities
What's Coming in Future Issues

AORN JournalVolume 109, Issue 6 p. 814-814 What's Coming in Future IssuesFree Access What's Coming in Future Issues First published: 28 May 2019 https://doi.org/10.1002/aorn.12717AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume109, Issue6Special Focus Issue: AORN Post-ConferenceJune 2019Pages 814-814 RelatedInformation
The Effect of Make a Match Strategy on Students’ Reading Comprehension of Descriptive Text

This study aimed to find the empirical evidence of the Effect of Make a Match Strategy on Students' Reading Comprehension of Descriptive Text at the Seventh-Grade of MTs Negeri 4 Jakarta in Academic Year 2018/2019.The population of this study was the seventh-grade of MTs Negeri 4 Jakarta.The sample was 60 students selected by purposive sampling technique and was divided into two classes; experimental class and controlled class.The method used in the study was a quantitative method using a quasiexperimental design.The research instruments of this study were 25 multiple choice questions and 5 matching words.The data were analyzed using the t-test.The result of the data showed the diversities of experimental and controller class post-test scores in reading comprehension of descriptive text.The post-test score of the experimental class was increased than the pre-test score after applying the strategy on students' reading comprehension.Also, the effect size result was 0.9.It proved that Make a Match strategy was effective to use at a moderate level on students' reading comprehension of descriptive text at the seventh-grade of MTs Negeri 4 Jakarta in the academic year 2018/2019.Thus, to use this strategy in teaching reading comprehension of descriptive text, the teacher cannot teach the theory of descriptive text specifically because the activity needs more practice in the classroom.
Microblog summarization based on sentiment and aspect analysis

On Twitter, the short nature of the post forces users to remain concise while conveying the main ideas to other users. Hence, the challenge is on how to use the unstructured texts to extract information that can be valuable for organizations. We investigate the best methodology to perform microblog summarization of topics discussed on Twitter. First, we classify the microblogs related to the topic into positive, negative, or neutral sentiments, and then we extract sub-topics (i.e., topic aspects), and pick the top N ranked aspects by sentiment temperature for final summarization. We utilize known algorithms for annotation, sentiment analysis, and clustering to determine which combination yields the best results. This paper attempts to address how sentiment analysis in conjunction with aspect extraction of topics can yield more effective summarization. Evaluation results show that sentiment analysis and aspect extraction improve the overall summarization of topics compared to baseline technique.