Reviewerly/exHarmony huggingface dataset:
Internet usage and self-regulated learning assessment at junior high school students in Tasikmalaya City, Indonesia

describes the pattern of relationship between internet usages on students, on the assessment of aspects of selfregulated learning. The aspect of self-regulated learning measured from 10 aspects. This study discusses the effects ofgender, the categories of schools (excellent schools and regular school), the total value of self-regulated learning andthe value of math exams. In brief, the research stages consist of three stages. The first stage of research is to createand retrieve the questionnaire data. The goal is to obtain all things related to internet usage, as well as measure aspectsof self-regulated learning assessment. The second stage of treatment on students. This treatment time is done for fourmonths, where students follow the math lesson with self-regulated learning method. Students provided with multimediadevices, textbooks and other. The third stage is the assessment or math test. The analytical method used is qualitativemethod with descriptive statistical approach. The results obtained that the dominant male students using internet forgames tend to have greater Aspects of Finding and Utilizing Relevant Learning Resources. While female, tend to bedominant in aspects of Evaluating Learning Processes and Results. The average mathematical exam results, in studentswho often use the game tend to have a higher value, compared with other students who often use social media.
Comparative Analysis Study of Various Techniques of Energy Efficiency in Cloud Computing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Quantum Simulators

This chapter gives an overview of quantum simulators. You will see how quantum simulators are used in real life. Code examples are presented for the quantum simulators, and the quantum languages and platforms are discussed in detail in this chapter.
Entanglement and geometric phase of the coherent field interacting with a three two-level atoms in the presence of non-linear terms

We study the interaction of a three two-level atoms with a one-mode optical coherent field in coherent state in the presence of non-linear Kerr medim. The three atoms are initially prepared in upper and entangled states while the field mode is in a coherent state. The constants of motion, three two-level atoms and field density matrix are obtained. The analytic results are employed to perform some investigations of the temporal evolution of the von Neumann entropy as measure of the degree of entanglement between the three two-level atoms and optical coherent field. The effect of the detuning and the initial atomic states on the evolution of geometric phase and entanglement is analyzed. Also, we demonstrate the link between the geometric phase and non-classical properties during the evolution time. Additionally the effect of detuning and initial conditions on the Mandel parameter is studied. The obtained results are emphasize the impact of the detuning and the initial atomic states of the feature of the entanglement, geometric phase and photon statistics of the optical coherent field.
The Relationship between Self-esteem and Social Media Engagement of College Students:The Mediation Role of Social Intelligence

This study investigates the relationship between self-esteem and social media engagement of college students in Indonesia through mediator role of social intelligence.157 undergraduate students participated (75 male, 81 female) completing the questionnaires.Scales of The Rosenberg Self-Esteem Scale (RESE), The Social Media Engagement Questionnaire (SMEQ), and The Tromso Social Intelligence Scale (TSIS) were translated into Indonesian language.The results indicated that there was no direct relationship between self-esteem and social media engagement, however there was indirect relationship of self-esteem on social media engagement through social intelligence.Age also moderated social intelligence and there was interaction effect between gender and social intelligence.
Interrogation of Sentiment Perusing with Hash Counting Vectorizer and Term Inverse Frequency Transformer using Machine Learning Classification

With the fast growing technology, the business is moving towards increasing their profit by interpreting the customer satisfaction. The customer satisfaction can be analyzed in many ways. It is the responsibility of the business to analyze the customer satisfaction in order to improve their turnover and profit. With the current trend, the customers are giving their feedback through mobile and internet. With this overview, this paper attempts to analyze the sentiment of the customer feedback for the movie. The sentiment Analysis on movie Review dataset from the KAGGLE Machine learning repository is used for implementation. The type of sentiment classes is predicted through the following ways. Firstly, the sentiment count for each class is displayed and the top feature words for each sentiment class are also extracted from the dataset. Secondly, the dataset is sampled with counting vectorizer and then fitted with the classifiers like Logistic Regression Classifier, Linear SVM Classifier, Multinomial Naives Bayes Classifier, Gradient Boosting Classifer, Guassian Naive Bayes Classifier, Random Forest Classifier, Decision Tree Classifier and and Extra Tree Classifier. Thirdly, the dataset is sampled with Hashing vectorizer and then fitted with the above specified classifiers. Fourth, the dataset is sampled with TFIFD vectorizer and then fitted with the above specified classifiers. Fifth, the dataset is sampled with TFIFD Transformer and then fitted with the above specified classifiers. Sixth, the Performance analysis of classifiers is performed by analyzing the metrics like Precision, Recall, Fscore and Accuracy. The implementation is carried out using python code in Spyder Anaconda Navigator IP Console. Experimental results shows that the analysis of sentiment done by the random forest classifier is found to be more effective with the Accuracy of 89% for Counting vectorizer and TFIFD transformer, Accuracy of 87% for Hashing vectorizer and Accuracy of 88% for TFIFD vectorizer.
Pooling

Poolingpooling is a machine learning technique that provides a summary of the input, selecting some essential local features such as maxima, minima, averages, etc.
Video Quality Assessment Based on Short-Term Memory

With the fast development of information and communication technologies, video streaming services and applications are increasing rapidly.However, the network condition is volatile.In order to provide users with better quality of service, it is necessary to develop an accurate and low-complexity model for Quality of Experience (QoE) prediction of time-varying video.Memory effects refer to the psychological influence factor of historical experience, which can be taken into account to improve the accuracy of QoE evaluation.In this paper, we design subjective experiments to explore the impact of Short-Term Memory (STM) on QoE.The experimental results show that the user's real-time QoE is influenced by the duration of previous viewing experience and the expectations generated by STM.Furthermore, we propose analytical models to determine the relationship between intrinsic video quality, expectation and real-time QoE.The proposed models have better performance for real-time QoE prediction when the video is transmitted in a fluctuate network.The models are capable of providing more accurate guidance for improving the quality of video streaming services.
CONTRIBUTIONS TO THE SIERRA NEVADA DIGITAL EARTH SCIENCE ATLAS: A DIGITAL COMPILATIONOF NEOTECTONIC FEATURES

As part of the project on the Sierra Nevada Digital Earth Science Atlas (SNDESA), we have developed a digital database of neotectonic features in the Sierra Nevada region, compiled at 1:400,000 scale. This geospatial database includes several feature classes of different neotectonics elements. Quaternary faults were compiled primarily from the California Geological Survey’s Quaternary fault database and geologic mapping in western Nevada by the Nevada Bureau of Mines and Geology, including updates to Quaternary fault mapping. The fault feature class, developed for geoscience practitioners, includes fault traces, with information on original mapping source, original scale of mapping, and characteristics of the faults such as age of activity and sense of slip. In addition, we have developed a subset of simplified major faults that may be of interest to the layperson. The neotectonic features database also includes seismicity within the region. The seismicity feature class has been compiled from publicly available instrumental catalogs, as well as published and unpublished compilations of pre-instrumental historical earthquakes. Point features representing thermal springs have been included from an earlier unpublished compilation by the California Geological Survey. Point features representing active volcanic centers have been compiled from data provided by the U.S. Geological Survey California Volcano Observatory (USGS CalVO).
Using Their Digital Notes: Three Cases to Make Tacit Knowledge Visible in a Web-Based Surrounding

This chapter focuses on the development of a new method of knowledge communication where the work of the scientist is the core of the knowledge that is used in the communication. Knowledge management is important for many organizations. The National Institute for Health and Environment in the Netherlands is a governmental office that benefits people, society, and the environment, matching their expertise, knowledge, and research with that of colleagues from around the world. The first case involved implementing a page on the Internet about standards for risks of substances. The risk standards were established by different authorities, and it was very difficult to determine whether a substance was included among these standards. Since publishing the standards for substances, more Excel tables were found to be suitable for publishing on an intranet site. The secretary’s office is mainly responsible for these Excel tables, but other employees also offered tables to publish on the intranet.
Specify some heavy metals in select wellsWater at Basrah,Iraq

The present study was undertaken to determine the means of some heavy metals in randomly choosen wells from Basrah: tow regions before raining period during October 2011 (Bergussia and Zubair) and three regions (Bergussia , Zubair and Marbed) after raining period during July 2012.The concentrations of heavy metals Cd, Cr, Cu, Fe, Ni, Mn, Pb and Zn were 0.004, 0.37, 1.65, 5.25, 0.1, 0.4, 0.86, and 0.61mg/l respectively for the period before rain while 0.02, 1.37, 0.1, 0.01, 0.04, 0.0002, 0.01 and 1.15 mg/l respectively for the period after rain in Zubair and 0, 0.74, 1.49, 4.51, 0.09, 0.43, 0.51, 0.98 mg/l respectively for the period before rain while 0.03, 1.52, 0.11, 0.01, 0.01, 0.06, 0.0002, 0.01and 1.20mg/l respectively in Bergussia, the concentrations recorded in Marbed were 0.8, 1.03, 0.13, 1.01, 0.6, 0.001, 0, and 1.40mg/l respectively.The result showed significant deferences between the sites, and no segnifincat between wells and the rain was significant effect on concentration of heavy metals.Almost the reason the heterogeneity focus minerals Consequently, differences in the intensity of the on-site processes controlling the distribution of major ions in melting and sedimentation to various metals.As well as the difference in controlling main interaction during pumping operation during the process of pumping cause the differentiation in the concentrations
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 10 p. 22496A-22497C Social and Cultural MEDIA First published: 15 November 2019 https://doi.org/10.1111/j.1467-825X.2019.09150.xRead the full textAboutPDF 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. Volume56, Issue10November 2019Pages 22496A-22497C RelatedInformation
Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran

Correction| May 20, 2020 Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran Sahar Nazeri; Sahar Nazeri Search for other works by this author on: GSW Google Scholar Zaher Hossein Shomali Zaher Hossein Shomali * *Corresponding author: Hossein.Shomali@geo.uu.se Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2020) 91 (4): 2438. https://doi.org/10.1785/0220200113 Article history first online: 20 May 2020 Connected Content Errata: Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Sahar Nazeri, Zaher Hossein Shomali; Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran. Seismological Research Letters 2020;; 91 (4): 2438. doi: https://doi.org/10.1785/0220200113 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietySeismological Research Letters Search Advanced Search We discovered that there are minor typos with equations (3) and (4) in Nazeri and Shomali (2019), the equations are accidentally reversed, and the correct ones are (Yamamoto et al., 2012): (3)logΔ=−0.50 logB+1.96,(4)logΔ=−0.49 logC+1.83. View Original Article You do not currently have access to this article.
Epistemological component in the ontology of scientific and practical research

This publication is a review of the textbook I.V. Ponkin and A.I. Lapteva “Methodology of scientific research and applied analytics” (2nd ed. M.: Buki Vedi, 2021. 567 p.)
Biomedical Data Mining for Web Relevance Checking

Now a day's web is the primary wellspring of data in each field. Web is additionally extending exponentially step by step procedure. To get the applicability of data is very tedious and is anything but an extremely simple assignment. For the most part of clients go for the different web indexes to look through any data. However, here and there web search tools are not ready to give valuable outcomes as the vast majority of the web archives are available in an unstructured way. Information mining is the extraction of data from an enormous database. This project can be useful in diagnostics, treatment, and counteraction of any ailment. There are large numbers of archives on the web about biomedical an explicit term so to acquire a pertinent record is exceptionally troublesome. The objective of this project is to apply content mining strategies to recover helpful biomedical web records. Here an increasingly productive instrument is proposed which utilizes the advanced SVM algorithm, grouping calculation where it can aggregate the comparable archives in a single spot. In this paper proposed smartly designed web mining algorithms to extract the textual form of information on web pages and to apply for web applications. This proposed system gives more helpful in all biomedical sectors. Search engines can be used to do the regression on the web pages into the biomedical structure. This methodology will assist the client in getting all the important relevant biomedical information in one place. On contrasting my methodology and the first SVM algorithm calculation that we use with an improved k-mean algorithm and found that our calculation on a normal giving 99.72 % results.
Research on Integration of Information System in Customs Supervi-sion Warehouse Based on Business Process Improvement

With the rapid development of China's import and export trade, customs supervision warehouse is facing the pressure of order surge, fragmentation and complex commodity SKU, which affects the operation efficiency and error rate.This paper comprehensively investigates and analyzes the three core processes of customer appointment, goods in and out of warehouse and customs declaration.Taking YanTian warehouse in Shenzhen of X supply chain company as an example, based on commodity master data management and unified management of appointment form, customs declaration form and goods information of in and out of warehouse, to simplify the operation process and reduces duplicate data entry.Through the establishment of an integrated and unified warehouse information system, the integration of customer appointment, WMS and customs declaration system, to ensure the accuracy of the data and information of goods in and out of the warehouse and the efficient operation of the whole process, and promote the intelligent and digital upgrading of the information operation of Customs warehouse management.
Authentication of the P2P Network using the Aggregated Fidelity Score Method

The most important issue in the P2P network is authenticating whether a network can be fully trusted before permitting full access and if the non-credible peers in a network gains access to the network it will actually cause lot of security related problems like man in the middle attack and denial of access attack. To overcome these attacks and to safe guard the peer network, a new fidelity based method is presented in this paper. The notion here is to calculate the loyalty score of the network based on the percentage of data delivered successfully and search time taken by the node and then if the score is higher than the permissible threshold value, the network is considered as a credible network and if the score is less, then the data on the network is blocked to ensure the curtail of the aforementioned attacks. The simulation results showcased that the proposed fidelity based approach is superior and performed with a high success rate and with less delay and drop rates.
Grant policy in the context of reforming the educational system in Russia

In this paper we are talking about the grant policy of the Russian education. Thanks to grants, the necessary support is provided for projects, including scientific ones, that are not profitable, but play an important role in the development of a society, city or educational institution. Activities that do not receive adequate funding from the state can also be supported by grants.
Journal Reviews

Journal of Analytical PsychologyVolume 65, Issue 4 p. 759-762 Journal Reviews Journal Reviews Suzanne R. Hyde, Suzanne R. Hyde Society of Analytical PsychologySearch for more papers by this author Suzanne R. Hyde, Suzanne R. Hyde Society of Analytical PsychologySearch for more papers by this author First published: 08 September 2020 https://doi.org/10.1111/1468-5922.12624Read the full textAboutPDF 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 Volume65, Issue4September 2020Pages 759-762 RelatedInformation
Text Document Categorization using Enhanced Sentence Vector Space Model and Bi-Gram Text Representation Model Based on Novel Fusion Techniques

The text document classification tasks passes under the Automatic Classification (also known as pattern Recognition) problem in Machine Learning and Text Mining.It is necessary to classify large text documents into specific classes, to make clear and search simply.Classified data are easy for users to browse.The important issue in usual text document classification is representing the features for classification of an unknown document into predefined categories.The Combination of classifiers is fused together to increase the accuracy classification result in a single text document.This paper states a novel fusion approach to classify text documents by considering ES-VSM and Bigram representation models for text documents.ES-VSM: Enhanced Sentence -Vector Space Model is an advanced feature of the sentence based vector space model and extension to simple VSM will be considered for the constructive representation of text documents.The main objective of the study is to boost the accuracy of text classification by accounting for the features extracted from the text document.The proposed system concatenates two different representation models of the text documents for designing two different classifiers and feeds them as one input to the classifier.An enhanced S-VSM and interval-valued representation model are considered for the effective representation of text documents.A word level neural network Bigram representation of text documents is proposed for effective capturing of semantic information present in the text data.A Proposed approach improves the overall accuracy of text document classification to a significant extent.
MEANS OF ELECTRONIC EDUCATIONAL ENVIRONMENTS IN THE CONTEXT OF GLOBALIZATION

The article discusses the use of electronic educational environments and their role in the formation of foreign language broadcasting in the classroom.The use of new information technologies in education is one of means for preparing students in modern conditions, taking into account the tasks of the future.Modern Internet resources contribute to the formation of such communication skills as reading, writing, speaking, perception of a foreign language by ear.Electronic educational environments are a powerful motivator for students to learn a foreign language.
The project of digital index and e-library of R&amp;D reports as a research information resource in ecology

Tyumen Industrial University’s Library and Publishing Complex is implementing the project of digital index and e-library of R&amp;D reports that is to become an information resource for further studies in ecology, nature management undertakes (among others). The project promises to be comprehensive, relevant and efficient. We invite our colleagues for discussion and collaboration, and also welcome the potential users of new information resource.