Reviewerly/exHarmony huggingface dataset:
Two details on Data Description

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DESAFIOS DA LOGÍSTICA REVERSA COMO APOIO AO ENFRENTAMENTO DA COVID-19

The collective incorporation and absorption of services and activities, aimed at the receipt and post-consumption destination of products, along with an ecological concern of the population, made companies reinvent their productive and sustainable cycle with reverse logistics, creating flows return also to health services.Such flows aim to comply with environmental legislation and generate financial resources of their own or for third parties, with competitiveness and quality, again forming new productive chains to support the population during and after the pandemic period of COVID-19.
Congratulations! Journal of Robotics and Mechatronics Best Paper Award 2018

We are pleased to announce that the 11th Journal of Robotics and Mechatronics Best Paper Award (JRM Best Paper Award 2018) has been decided by the JRM editorial committee. The following paper won the JRM Best Paper Award 2018, severely selected from among all 97 papers published in Vol.29 (2017). The Best Paper Award ceremony was held in Gakushi-Kaikan, Tokyo, Japan, on December 17, 2018, attended by the authors and JRM editorial committee members who took part in the selection process. The award winner will also be announced on the JRM website and was given a certificate and a nearly US$1,000 honorarium. JRM Best Paper Award 2018 Title: Spherical Video Stabilization by Estimating Rotation from Dense Optical Flow Fields Authors: Sarthak Pathak, Alessandro Moro, Hiromitsu Fujii, Atsushi Yamashita, and Hajime Asama J. Robot. Mechatron., Vol.29 No.3, pp. 566-579, June 2017
Résumés en Français

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Résumés en Français. Am J Intellect Dev Disabil 1 July 2019; 124 (4): 391–392. doi: https://doi.org/10.1352/1944-7558-124.4.391 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search
A New Non-Negative Matrix Factorization Method to Build a Recommender System

The main aim of this paper is to apply non-negative matrix factorization to build a recommender system. In a recommender system there are a group of users that rate to a set of items. These ratings can be represented by a rating matrix. The main problem is to estimate the unknown ratings and then predict the interests of the users to the items which haven’t rated. The main innovation of this paper is to propose a new algorithm to compute matrix factorization in a way that the factorized matrixes would be a good approximation for the initial rating matrix and moreover would be a good source to predict the unknown ratings of the items precisely. The results show that the proposed matrix factorization improves the estimated ratings considerably.
Investigating the Impact of Total Quality Management (TQM) Practices and Six Sigma Processes to Enhance the Quality and Reduce the Cost of Quality: The Case of Dubai

The application of the TQM and Six Sigma in the plastic industry in Dubai is known for its commitment to quality products and competitive prices, making Dubai a world shopping destination in the world of plastics. Literature confirms the efficacy of TQM and Six Sigma to achieve quality and cost/price, efficiencies, competitiveness, consumer satisfaction and profitable businesses. The study results reveal among other things, almost a 1:1 relationship between TQM and Six Sigma, which would enable companies to carefully plan for their quality and costs in order to achieve total commitment to quality. The policy implication is to introduce the booming environmental factor into TQM and Six Sigma dynamics and calculus.
Programming Language

In this last chapter of the development part, we will discuss language selection for firmware development. Since there are lots of textbooks introducing the languages themselves, we will not discuss the details of the languages. Instead, we will focus on the security aspects of different languages which may be used in the firmware development.
Teachers' Experience of Teaching and Online Learning Via WhatsApp as a Combination of Interactive English Learning media in the Covid-19 Pandemic Era of UNU Lab Elementary School Students in Blitar

English learning in elementary schools should be engaging, interactive and fun so that students have an interest and motivation for learning especially in the current Covid-19 pandemic, but in reality, the learning patterns in SD Lab Blitar UNU still do not apply English learning patterns that are interactive and fun online because teachers have not affected the learning model that suits students' needs. They find it difficult to determine the right online media as a learning medium due to locations that do not support using the full online facility. The purpose of this study is that the authors intend to provide solutions in formulating exciting and interactive patterns of English teaching to all teachers and students during the co-19 pandemic under online learning conditions. The author uses a qualitative approach through the case study application and applies self-selection to select audiences and conduct online interviews to retrieve all data in the completeness of the study. The results revealed that Teachers' Experience of Teaching and Online Learning Via WhatsApp could create Interactive English Learning in the Covid-19 Pandemic Era, and the Combination can attract students' interest in learning online.
Unit Testing of ETSI DECT Codec

The low complexity communication codec (LC3Plus) plus performs audio quality tests which are both subjective and objective ranging from narrowband to fullband are tested at clean and distorted channels. The relevant DECT scenarios for transcoding and VOIP are investigated. In this paper we take LC3Plus from ETSI and test the correctness by compiling the program under linux environment. A careful planning of the test stimuli helps create useful test cases for `testing the LC3Plus encoder and decoder. Testing is performed meticulously to verify the correctness of the standard.
Viewboard Implementation Based on Javascript Charts As a Media for Submitting Sales Information on a Green E-Commerce Website Light Cafe

A media that can display information concisely is needed in presenting information effectively and efficiently. Information on the results of the Green Light Cafe sales report can now be easily accessed by top management and staff through the ledger. However, the process of presenting information with ledgers still uses tables, so it is not in line with current technological developments. In this study, 4 (four) methods will be described which are used to overcome 4 (four) problems, as well as 1 (one) solution, namely the implementation of a viewboard with Highcharts charts. The advantage of Green Light Cafe's viewboard is that it can be accessed through the website and mobile, as well as other advantages, namely minimizing the use of paper, so that it can help staff work in registering reports. By applying the graph as a medium for presenting information on the Green Light Cafe viewboard, it causes top management and employees to find out more about sales reports. Thus, it can be concluded that the use of Highcharts graphics is able to improve the quality and overcome the problems found in the Green Light Cafe.
Cover

Meteoritics & Planetary ScienceVolume 55, Issue 2 p. i-i CoverFree Access Cover First published: 08 March 2020 https://doi.org/10.1111/maps.13321AboutPDF 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 Graphical Abstract Volume55, Issue2February 2020Pages i-i RelatedInformation
Shooting action

Multi-camera studios are great for speech-based content and fine, contained detail, demonstrations and the like. Whilst the quickest way to finish a programme is to get the camera script, the performance and the vision mixing right on the first take, there are times when iso-cameras are not simply a soft option: when the readers know the content will be recorded long and cut down before transmission, and if the content is unpredictable for any reason. Whilst shots of people moving away from camera can be vital elements of a story, in many situations a movement towards camera, towards the audience, is going to be more engaging than a shot of someone's relatively inexpressive back. Although some 'sports' like darts and snooker could be staged in a television studio, as live events, they are covered by OB units, another form of multi-camera working.
Upaya Pengaruh Penggunaan Media Manipulatif Berhitung terhadap Kemampuan Mengenal Konsep Bilangan dada Anak Usia 4-5 Tahun

This study aims to determine the effect of counting manipulative media on the ability to recognize the concept of numbers in children aged 4-5 years in Penang Kenanga Hati Bunda, with variable (x) the effect of using counting manipulative media and variable (y) The ability to recognize number concepts in children aged 4 -5 years, the method in this study is to use descriptive qualitative methods by collecting data through interviews, documentation, observation and questionnaires with respondents, students, parents and teachers with 10 questions, the results of this study are in Paud Kenanga Hati Bunda already implemented with both reached 80%, this is marked by the child's ability to recognize numbers, which includes giving examples of the ability to practice counting, motivation, reward, correction and guidance.&#x0D; Keywords; manipulative media, numeracy skills, number concepts
Count Vectorized Spam and Ham Discernment of Short Message Service using Machine Learning Classification

With the growing volume and the amount of spam message, the demand for identifying the effective method for spam detection is in claim. The growth of mobile phone and Smartphone has led to the drastic increase in the SMS spam messages. The advancement and the clean process of mobile message servicing channel have attracted the hackers to perform their hacking through SMS messages. This leads to the fraud usage of other accounts and transaction that result in the loss of service and profit to the owners. With this background, this paper focuses on predicting the Spam SMS messages. The SMS Spam Message Detection dataset from KAGGLE machine learning Repository is used for prediction analysis. The analysis of Spam message detection is achieved in four ways. Firstly, the distribution of the target variable Spam Type the dataset is identified and represented by the graphical notations. Secondly, the top word features for the Spam and Ham messages in the SMS messages is extracted using Count Vectorizer and it is displayed using spam and Ham word cloud. Thirdly, the extracted Counter vectorized feature importance SMS Spam Message detection dataset is fitted to various classifiers like KNN classifier, Random Forest classifier, Linear SVM classifier, Ada Boost classifier, Kernel SVM classifier, Logistic Regression classifier, Gaussian Naive Bayes classifier, Decision Tree classifier, Extra Tree classifier, Gradient Boosting classifier and Multinomial Naive Bayes classifier. Performance analysis is done by analyzing the performance metrics like Accuracy, FScore, Precision and Recall. The implementation is done by python in Anaconda Spyder Navigator. Experimental Results shows that the Multinomial Naive Bayes classifier have achieved the effective prediction with the precision of 0.98, recall of 0.98, FScore of 0.98 , and Accuracy of 98.20%..
The Possibility of Vagueness

We previously stated an impossibility result and suggested that the standard approaches to vagueness were incapable of providing a satisfactory response to the result. This chapter considers how a more satisfactory response to the result might proceed. This will call for a radical revision in our general understanding of vagueness and in how its logic has usually been conceived. It will be argued that the indeterminacy characteristic of vagueness can be conceived in purely logical terms without the need for any specific vagueness-theoretic vocabulary. The resulting notion of indeterminacy is seen to be global in character in that it makes sense to say that there is indeterminacy over a range of cases but not that there is indeterminacy in a single case; and a semantics for the resulting theory, in terms of the compatibility of uses, is then developed.
Exploration and Practice of Online and Offline Mixed Teaching Mode in Higher Vocational Colleges Based on Internet Technology

The rapid development of digital, intelligent, networked and multimedia information technology has triggered a revolution in traditional education, injected infinite vitality and vigor into teaching, and led to the emergence of a variety of new teaching modes. Among them, online and offline hybrid teaching is a new teaching model that integrates traditional offline teaching with online teaching. It gives full play to the advantages of online and offline teaching, and has become a new development trend. Taking "circuit analysis and testing course" as an example, this paper analyzes the learning characteristics of Higher Vocational Students, and explores and practices online and offline mixed teaching mode suitable for Higher Vocational Colleges from many aspects. The practice has proved that the online and offline mixed teaching mode has stimulated students’ enthusiasm, initiative and creativity, and achieved a good teaching effect.
Suggestopedia Method as an Effective Method in Teaching Reading Comprehension for Senior High School

This research is to know is there is significant effect in reading comprehension achievement in X grade at SMK Walisongo 1 Gempol, being taught by suggestopedia method. This research uses quantitative research. The research’s object is X AK-2 of SMK Walisongo 1 Gempol has 28 students. The researcher divides the main activity into pre-test, treatment and post-test. Based on the SPSS 23 Program calculation from mean result of pre-test 70.1 and the result mean of post-test is 83.5. The students’ score is increasing after being given by the treatment. The result of the calculation of this research showed that (sig 2-tailed = 0.002) which is less from (&lt;) 0.05 and significance 5%. It mean that the alternative hypothesis is accepted and the null hypothesis is rejected. From the result of the data analysis above, the use suggestopedia method gives significant effect in students’ reading comprehension achievement.
Curbing Social Media Expressions: Fueling Antagonism Among Customers

The customers are increasingly taking to social media to express their opinions, experiences, and expectations from product/service/brand/organizations. While organizations should see this as an opportunity for receiving unbiased opinions/experiences/expectations from the customers, they are also concerned about negative comments/expressions getting snowballed into major catastrophe for their products/services/brands. A significant number of organizations have started moderating content posted on pretext of expressing opinions/experiences/expectations of the customers. Essentially, this content moderation policy adopted by organizations entails removing negative expressions from their social media platforms before they become viral and reach wider audience damaging reputation. On the other hand, they promote positive expressions while acknowledging and thanking the customers for appreciating products/service/brand/organization. A customer who is essentially frustrated with experience of product/service/brand/organizations gets even more agitated when his/her expressions are removed on the pretext of content moderation policy adopted by the organizations. This aggrieved customer then starts searching for more social media platforms, which are unregulated or not controlled by the organizations and starts posting even more negative expressions tagging connections while requesting them to tag their connections as well. The customers understandingly demand to be heard, paid attention to and attended to. Absence of the acceptable grievance redressal mechanisms will further fuel antagonism among customers forcing them to brand negatively. At times, these activities have snowballed into major momentums or movements hitting the organizations very hard. Rather than focusing inward and looking at the problem from the perspective of solutions framework, organizations are doing more damage than good while removing negative expressions from the social media platforms. This research paper attempts to understand the possible repercussions of removing negative expressions from social media on the pretext of content moderation policy.
An effective movie recommender system enhanced with time series analysis of user rating behaviour

Recommender system aims at improvising user satisfaction by taking decision on what movie or item to recommend next. Over time though, learners and learning behaviours shift regularly. This paper introduces a novel behaviour-inspired suggestion algorithm named the TimeFly-PPSE algorithm, which operates on the concept of changing user's motives around time. The suggested model takes temporal knowledge into account and monitors the progression of consumers and items that are useful in providing adequate recommendations. The latter outlines a framework that enrolls the user's shifting behaviour to include guidance for personalisation. TimeFly's findings are contrasted with those of other well-known algorithms. Simulation test on 100K MovieLens dataset shows that utilising TimeFly contributes to recommendations that are exceptionally efficient and reliable.
Extended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in Indonesia

Food crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land.Each region's agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.).Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia.The goal of this research is to develop an extended Fuzzy logic-based Decision Support Model (FDSM).The model is able to propose the best food crops to plant on a certain plot of land or location.These suggestions are based on the worth of the distance between the plants as well as the unique worth of the land or location.These suggestions are based on the worth of the distance between the plants as well as the unique worth of the land or location.The primary methods employed in this study are fuzzy logic and Euclidean distance measuring.The fuzzy logic method is used on purpose to prevent confusing values and to consider parameter values based on human linguistics.The fitness value is then calculated using the Euclidean distance value as a basic value for choice suggestions.In this follow-up study, three parameters from previous research were included, for a total of eleven factors (water availability, temperature, humidity, land height, land slope, rainfall, land porosity, rocks on the surface, flood potential and water acidity level).biological food plants in search of the best value based on eight different types of food crops, the model generates simulation suggestions for 514 administrative areas in 34 districts or cities in Indonesia (rice, maize, peanuts, soybeans, green beans, sweet potatoes, cassava and wheat).
Blockchain Technology for Secure Electronic Voting

In a democracy, citizens of the country choose their favourite candidate by voting who represents them, therefore it is important for the elections to be reliable.Voting could be paper-based, E-voting, or I-voting.Lack of security and transparency could jeopardize the whole election process.Voters must be assured that their vote has been counted and counted correctly.Anyone having direct physical access to a voting machine and with malicious motives can lead to the vote manipulation.Blockchain (decentralized ledger technology) provides tremendous transparency and security to the voting system.It does not store the data in a central database instead all the node participating in the block chain can have access to the data.Apart from the decentralization blockchain also provides many assets to the E-voting, including anonymity, confidentiality, verifiability, and robustness, etc. Blockchain technology fulfills all the essential and desirable security requirements of the E-voting that have mentioned in this study.This study proposes blockchainbased secure E-voting that is fair, secure, and trustworthy.
The meta-conventionalisation and moral order of e-practices

This study overviews the phenomenon of the meta-conventionalisation of interpersonal practices in the context of computer-mediated communication. The term ‘meta-conventionalisation’ refers to the coding of the conventional interpersonal practices of a particular group, or various groups, in the form of entertainment as films and novels. The word ‘meta’ refers to the fact that such pieces of artwork narrate a set of conventional practices from a quasi-observer point of view, without involving their audience in these practices as language users – in this sense they are different from good practice guides (typically described as ‘netiquette, in the context of e-pragmatics), which assume that readers will internalise the practices they describe. Meta-conventionalisation has been an understudied phenomenon, in spite of representing an important aspect of our daily lives. We illustrate how this phenomenon operates by examining a Japanese case study: a popular novel which features the online interactions of a group of otaku, that is, asocial young people who lock themselves up and interact in highly specific ways.
AN APPLICATION IN MATLAB GUI: ESTIMATION METHOD FOR ANNUAL ENERGY YIELD OF PHOTO

The need for long term forecasting energy production of PV systems have emerged forentrepreneurs in recent years. Referring this need, an estimation method for annual energyproduction is presented in MATLAB GUI for solar energy sources. Using the necessary datawhich consists of total module area, conversion efficiency and annual solar irradiance, themethod achieves the annual energy production estimation. For more accuracy, the losses due toinverter, temperature increase, cables, weather conditions, and shading are added to the methodand are editable by users. Also, single-axis and two-axis sun tracking systems together withfixed systems are regarded and compared to each other since they are among preferred ones formass production PV systems
Implementation of the Heinrich Spatial Visualization Test in a Virtual Environment

A virtual environment was developed for PC and Android to be used with a desktop display and the Gear VR, respectively. The goal with it is to measure and enhance the spatial skills of people, because the latter can be achieved by solving simple geometric problems. Originally, this virtual environment consisted only of three such tests, namely the Mental Rotation Test, Mental Cutting Test and Purdue Spatial Visualization Test. Measurements were done in the past with these tests, but now the Heinrich Spatial Visualization Test is also included in the virtual environment. In this paper, its implementation and future measurement plan are presented.