Reviewerly/exHarmony huggingface dataset:
Realtime Student Information Center Application Based on Telegram Bot Case Study at the Faculty of Computer Science, UPN “Veteran” East Java

The Faculty of Computer Science, East Java Veterans National Development University as a superior Faculty needs to improve the implementation of Information Technology in carrying out daily Tri Dharma activities. Submission of information quickly to all students is certainly a fundamental requirement. With intermediaries delivering messages such as telegrams, we can provide students with various information related to lectures, guidance, student organizations, etc. in real time and automatically. In general, when students ask through the telegram application, these questions will be answered one by one by a human admin, of course this will be very time-consuming and time consuming. What if this can be done by intelligent robots answering questions from all students according to the topic. Lecturers only fill in various information related to academic information such as guardianship, lectures, guidance on street vendors and Thesis on a web-based application, and students who ask via telegram will get their answers automatically. When students ask via telegram, students will choose a question topic before it cones on a specific topic. If the topic does not exist, the algorithm will try to give the answer that comes closest to the question. Furthermore, when students try to ask questions directly without determining the topic, the algorithm will do a match between the questions with the answer database, then give the closest answer. And also the application which we refer to as BITFIK (Bot of Information based on the Faculty of Computer Science) is also able to save and draw conclusions from various suggestions and input from students regarding the services of Lecturers and Education Personnel in the form of questionnaires. The conclusion can then be seen by the Chairperson through a Web Application built with a combination of the PHP Programming Language and its supporting Variants, the MySQL Server Database, and the Telegram Apps Chatting. Continuous coding and integration will continue to be developed in accordance with FIKs Internal Needs during the Application development period. Based on the explanation above can be formulated as follows "How to build a realtime Student Information Center application based on telegram bot case study at the Faculty of Computer Science, UPN “Veteran” Jawa Timur."
American Lobster Research Program (DOC)

Federal Grants & ContractsVolume 44, Issue 5 p. 4-5 Grant Alerts American Lobster Research Program (DOC) First published: 30 January 2020 https://doi.org/10.1002/fgc.30889Read 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. Volume44, Issue56 February 2020Pages 4-5 RelatedInformation
Cloud Economy

For all organizations, economy is an important driver, one that sets the limits for what is possible and provides future goals. The same is the case with cloud computing. For the cloud to be a viable option, it has to be economically attractive. In this chapter, we look at what that means and how the cloud can benefit an organization from an economic perspective. We also look at the practical consequences and consider the possibilities that exist for managing and optimizing the economy in the cloud. There are different features that allow organizations to get insight into and control the economy of cloud deployments. The goal of the chapter is to describe the major aspects and drivers of the cloud economy that make it worthwhile to adopt.
Оverview of the standard library for creating a GUI in Python

This article discusses the standard library for creating graphical user interfaces in Python. The relevance of graphical user interface creation tools, the value of the graphical user interface, the latest research and publications related to the tkinter library, the history of the library, the main widgets and geometry managers were analyzed. All the functions responsible for placing the elements of the graphical interface in the window are considered. There are three functions for placing widgets in the window — pack (), grid () and place (). Conclusions are drawn about the disadvantages and advantages of this library. The standard Python GUI library is closely related to the long-known and widely described Tk library, but the most relevant source of information will always be the library documentation on the Python programming language documentation site. The purpose of this article is to review the standard library for creating graphical interfaces in Python. Tkinter is a multi-platform graphical interface library based on Tk tools (widespread in the world of GNU/Linux and other UNIX-like systems, ported to Microsoft Windows, Apple Mac OS), distributed with open source, written by Wall Lumholt and Guido van Rossum. Included in the standard Python library. Tk has long been an integral part of Python. It provides a robust and platform-independent set of tools for windows that is available to Python programmers. However, in terms of usage, Tkinter is relatively easy compared to other libraries. This is a great choice for creating GUI applications in Python, especially if the modern look is not a priority for the program, and a big role is played by functionality and cross-platform speed.
Study on Quality Evaluation of Taiwan's B&amp;B Based on Content Analysis Method and Its Implications

Taiwan has been nearly 40 years of history in developing B&amp;B, and has accumulated rich experience in B&amp;B development and management. While B&amp;B history is much shorter in mainland China, there is a gap of industry matureness between two sides. Therefore, it is of great practical significance for the development of B&amp;B in mainland China to systematically discuss the quality of B&amp;B in Taiwan. This study extracted 24 B&amp;B cases in Taiwan from Agoda website, based on stratified sampling method, and classified and assigned values according to the quality evaluation index and coding standard with content analysis method. Finally, the paper obtained the key factors of the quality of the B&amp;B based on the evaluation of indicators at all levels, and got the correlation analysis results: cost performance and fitment time are positively correlated to the quality of the B&amp;B while guestroom number is negatively correlated to the quality of the B&amp;B.
2020 Virtual Annual Meeting Wrap‐up

FisheriesVolume 45, Issue 12 p. 664-670 Annual Meeting 2020 Virtual Annual Meeting Wrap-up First published: 21 December 2020 https://doi.org/10.1002/fsh.10559 Read 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 onEmailFacebookTwitterLinked InRedditWechat Volume45, Issue12December 2020Pages 664-670 RelatedInformation
Philosophical Interpretation of “Truth” Category

The paper aims to discover specificity of the “truth” category philosophical interpretation. The article shows importance of this category for understanding the cognition process and reveals its key role in self-actualization and self-identification. The author examines advantages and shortcomings of the existing conceptions of truth and argues that this category should be considered beyond the framework of formal logic. Scientific originality of the study involves a comprehensive analysis of the truth problem that represents specificity of human attitude to reality and constitutes essence of the modern cognitive process. The following conclusions are justified: systemic understanding of truth is required to reveal human essence, nature of mind and intelligence.
Digital inclusion

The Internet and connected devices have become a crucial part of most individuals’ daily lives in OECD economies. Even so, there can be considerable differences in Internet uptake between different groups in society, linked primarily to age and education, often intertwined with income levels.
Dynamic and Optimized Prototype Clustering for Relational Data based on Multiple Prototypes

In artificial intelligence related applications such as bio-medical, bio-informatics, data clustering is an important and complex task with different situations. Prototype based clustering is the reasonable and simplicity to describe and evaluate data which can be treated as non-vertical representation of relational data. Because of Barycentric space present in prototype clustering, maintain and update the structure of the cluster with different data points is still challenging task for different data points in bio-medical relational data. So that in this paper we propose and introduce A Novel Optimized Evidential C-Medoids (NOEC) which is relates to family o prototype based clustering approach for update and proximity of medical relational data. We use Ant Colony Optimization approach to enable the services of similarity with different features for relational update cluster medical data. Perform our approach on different bio-medical related synthetic data sets. Experimental results of proposed approach give better and efficient results with comparison of different parameters in terms of accuracy and time with processing of medical relational data sets. Index Terms: Data clustering, multiple prototypes, artificial intelligence, and prototype based clustering, c-medoids and Ant Colony Optimization (ACO).
Anomaly Detection and Classification of Physiological Signals in IoT- Based Healthcare Framework

Abstract Physiological signals retrieve information from sensors implanted or attached to the human body. These signals are vital data sources that can assist in predicting the disease well before time; thus, proper treatment can be made possible. With the addition of the Internet of Things in healthcare, real-time data collection and preprocessing for signal analysis has reduced the burden of in-person appointments and decision making on healthcare. Recently, deep learning-based algorithms have been implemented by researchers for the recognition, realization and prediction of diseases by extracting and analyzing important features. In this research, real-time 1-D time series data of on-body noninvasive biomedical sensors were acquired, preprocessed and analysed for anomaly detection. Feature engineered parameters of large and diverse datasets have been used to train the data to make the anomaly detection system more reliable. For comprehensive real-time monitoring, the implemented system uses wavelet time scattering features for classification and a deep learning-based autoencoder for anomaly detection of time series signals to assist the clinical diagnosis of cardiovascular and muscular activity. In this research, an implementation of an IoT-based AI-edge healthcare framework using biomedical sensors was presented. This paper also aims to analyse cloud data acquired through biomedical sensors using signal analysis techniques for anomaly detection, and time series classification has been performed for disease prognosis in real time by implementing 24 AI-based techniques to find the most accurate technique for real-time raw signals. The deep learning-based LSTM method based on wavelet time scattering feature extraction has shown a classification test accuracy of 100%. Using wavelet time scattering feature extraction achieved 95% signal reduction to increase the real-time processing speed. In real-time signal anomaly detection, 98% accuracy is achieved using LSTM autoencoders. The average mean absolute error loss of 0.0072 for normal signals and 0.078 is achieved for anomalous signals.
SISTEM INFORMASI AKUNTANSI PELAYANAN JASA RAWAT JALAN DAN RAWAT INAP PADA RUMAH SAKIT UMUM MITRA SEJATI MEDAN

This study aims to examine both the application and the accuracy of the accounting information systems on outpatient and inpatient services at Medan General Hospital of Mitra Sejati. The research method used is a descriptive method using secondary data, in which the obtained data come from existing sources such as the profile of Medan General Hospital of Mitra Sejati, organizational structure, flowchart, and reports of outpatient and inpatient service at Medan General Hospital of Mitra Sejati. Based on the results of this research, it can be concluded that the accounting information system for outpatient service at Medan General Hospital of Mitra Sejati has not been effectively executed. There are a great number of mistakes made by medical staff in inputting patient data. Accordingly, in the future, Medan General Hospital of Mitra Sejati can provide training for employees in using the accounting information system effectively and is expected to improve outpatient and inpatient service to avoid errors which will impact the quality of service in the hospital.
Disclosure of AGM Minutes on Corporate Website: An Assessment of Malaysian Listed Companies

Disclosure of annual general meeting (AGM) minutes on the corporate website is considered as additional disclosure. Consequently, Listing Requirements states compulsory disclosure of corporate information. In this regard, the awareness of compulsory disclosure of information among all Malaysian listed companies in 2017 was below expectations. Despite the role of AGM minutes as documented proof of meeting, the management had been reluctant to disclose AGM minutes on the corporate website unless demanded by the shareholders. This paper focuses on previous mandatory disclosure of discussions on key matters after AGM minutes among 261 listed companies based on the financial year ended December 31, 2016. The findings indicated that shareholder activism and the role of grey directors exerted influence on the disclosure of AGM minutes on the corporate website. Undoubtedly, management and investors have contributed toward voluntary disclosure in line with the government’s role to enhance shareholder rights. Besides, grey directors’ contribution towards information disclosure has remained relatively unexplored.
Virtual and Augmented Reality in school context: A literature review

Virtual and Augmented reality has established itself in many sectors including education. The virtual is progressively entering the classrooms. MOOCs (Massive Open Online Course), those online interactive lessons available for all, are useful tools to complete the traditional school system. There are also more and more e-learning platforms that propose online lessons and follow-up for any student. Immersive contents appear as playful alternatives to traditional lectures. But, the integration of VR/AR equipment in classrooms raises questions. What is the place of augmented and virtual reality in education and teaching? In order to be able to answer this important question, our article takes place as the result of a literature review on the field of virtual and augmented reality in education. Our objective, first of all, to deepen our knowledge domain in order to provide the necessary answers to « the question », and, secondly, to identify principles that can guide the design of educational artefacts in virtual and augmented reality. The methodology of the literature review is based on the EPPI method (Evidence for Policy and Practice Information and Co-ordinating). Results will be presented by themes such as motivation, immersion, collaboration, and design.
An open speech resource for Tibetan multi-dialect and multitask recognition

This paper introduces a Tibetan multi-dialect data resource for multitask speech research. It can be used for Tibetan multi-dialect speech recognition, Tibetan speaker recognition, Tibetan dialect identification, and Tibetan speech synthesis. The resource consists of 30 hours Lhasa-Ü-Tsang dialect; 8.7 hours Kham dialect, including 3.4 hours Yushu dialect, 3.3 hours Dege dialect and 2 hours Changdu dialect; 10 hours Amdo pastoral dialect. Other resources are also provided for Lhasa-Ü-Tsang dialect including phoneme set, pronunciation dictionary and the codes for constructing the Lhasa-Ü-Tsang speech recognition baseline system. Meanwhile, for Tibetan multi-dialect and multitask speech recognition, the codes and recognition results based on WaveNet-connectionist temporal classification (WaveNet-CTC) are provided. All the resources are free for researchers and publicly available, which effectively compensates for the shortage of public Tibetan multi-dialect speech resources in order to promote the development of Tibetan multi-dialect speech processing technology.
Siberian Theme in M. Gorky’s Publishing Project “History of the Village”

“History of the village” is chronologically the last project in a series of major publishing projects of M. Gorky in the 1930s. The idea was not implemented. Work on the project began in February 1935. In January of this year, Gorky received a letter from Siberia, from the editor of a small Siberian newspaper N. Zharikov, who reported on the beginning of work on the history of the Siberian village. The Siberian theme as the starting point of the “History of the village” was initially rejected by Gorky. He insisted on describing “typical” villages and villages, which did not include Siberian villages. However, in a number of points of a large publishing project, the Siberian theme inevitably manifested itself, in particular, in two books that V. Ya. Zazubrin worked on. In the “History of the village” there were several major thematic blocks. A special place among them was occupied by the “Library of the collective farmer”. It was intended to be a “verbal illustration” of historical works of a popular science nature. Engaged in the “Library of the collective farmer” V. Ya. Zazubrin. He carried out the selection of texts, worked with commentators and authors of prefaces to collections. In the collection of selected chapters from the “Journey from St. Petersburg to Moscow” by A. N. Radishchev, he intended to add fragments of the diary of his Siberian journey. One of the latest versions of the plan for the “Library of the collective farmer” includes the “Book about Radishchev” by V. Ya. Zazubrin, which includes a biography of Radishchev, peasant chapters “Travels from St. Petersburg to Moscow” and excerpts from the Siberian travel diary. The Book dedicated to the Russian-American company was supposed to cover the company’s activities in Siberia. The idea of the book appeared in the plans of the series thanks to S. N. Markov, a colleague of Zazubrin in the “Siberian lights”, who in 1935 was exiled in Arkhangelsk. It was Markov who told Gorky about the part of the archive of the Russian-American company discovered in Vologda. While working on the inventory of this archive, Markov initiated his Pacific card index, on the basis of which he later wrote a number of works. The history of Russian America became the main theme of his work. V. Ya. Zazubrin’s participation in the project and Gorky’s correspondence with S. N. Markov especially contributed to the development of the Siberian theme in the “History of the village”. In the thematic and production plan of the “Library of the collective farmer” for 1937, compiled after Gorky’s death, was included the book about the Russian-American company by S. N. Markov under the editorship of V. Ya. Zazubrin. In 1947, based on his Pacific card index, Sergey Markov wrote the book “Chronicle of Alaska”.
Design of Intelligent Voice Surgical Instrument Box

Taking STM32 single chip microcomputer as the control center, combined with steering gear control module, motor drive module, speech recognition module, display module and other hardware equipment, an intelligent speech surgical instrument box is designed. The software and hardware design of the system are introduced in detail, and the system is debugged. The debugging results show that the speech recognition accuracy of the system is high, and the drive module runs stably, the display module displays clearly and comprehensively. The design of intelligent voice surgical instrument box can reduce the workload of medical staff. You can press the key to query the tool name to assist in work summary, improve work efficiency and meet the needs of future medical market development.
Big Data, Big Noise: The Challenge of Finding Issue Networks on the Web

In this paper, we focus on noise in the sense of irrelevant information in a data set as a specific methodological challenge of web research in the era of big data. We empirically evaluate several methods for filtering hyperlink networks in order to reconstruct networks that contain only web pages that deal with a particular issue. The test corpus of web pages was collected from hyperlink networks on the issue of food safety in the United States and Germany. We applied three filtering strategies and evaluated their performance to exclude irrelevant content from the networks: keyword filtering, automated document classification with a machine-learning algorithm, and extraction of core networks with network-analytical measures. Keyword filtering and automated classification of web pages were the most effective methods for reducing noise whereas extracting a core network did not yield satisfying results for this case.
Stephen I. Katz Early Stage Investigator Research Project Grant (NIH)

Federal Grants & ContractsVolume 45, Issue 1 p. 7-7 Grants Alerts Stephen I. Katz Early Stage Investigator Research Project Grant (NIH) First published: 25 November 2020 https://doi.org/10.1002/fgc.31440 Read 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue13 December 2020Pages 7-7 RelatedInformation
An Anatomy for Recognizing Network Attack Intention

Research in the field of Network forensics is tremendously expanding with the tendency to help in arbitrating, capturing and detaining the exponential growth of the cyber crimes. With this expansion, the field of Network forensics is still not clear and is uncertain. In this paper, we have presented the architecture of an analysis mechanism for network forensics. The work followed by generic process model for network forensics investigation is also presented and discussed in detail. Overall this paper presents an overview of the network forensics architecture, generic process models to help a user in the times of emergency by considering the incident and thus maintaining the privacy and security policies.