Reviewerly/exHarmony huggingface dataset:
Logic and Axiomatics in the Making of Latino sine Flexione

This contribution examines the scientific background of Latino sine Flexione (LSF), an international auxiliary language constructed by Peano. LSF is part of a larger linguistic movement resulting from new technologies that accelerated globalisation. Science is a major driving force behind the international auxiliary language movement, both for creating an increased need for international contacts and for lending its data and methods to language construction. With LSF, Peano attempted to realize part of Leibniz's dream of a universal language, of which a temporary simplified form of Latin would become the first step. LSF was designed following Leibniz's fragments compiled by Couturat. By eliminating conventional features from standard Latin, Peano attempted to reduce it to its logical expression. Inspired by the same concerns that motivated the symbolism of Formulario, he aimed for a simple language that owed its fit for international use to its being stripped down to the logical core shared by all languages. To achieve this, Peano proceeded by eliminating inflections from all words and establishing an "algebra of grammar" that governed the rules of word-formation. Simplicity, non-redundancy and computability are key values of LSF inspired from Peano's mathematical practice.
Research on Knowledge Organization Behavior Model Construction Based on “Innovator” Hypothesis

The hypothesis of human nature is the foundation of the management model and its organizational behavior model.Throughout the development of organizational behavior in China and the West, each management mode or organizational behavior model has its corresponding human nature hypothesis.With the global transition to the era of knowledge economy, social and economic development, computer, communication network, electronic information technology advances by leaps and bounds, put forward the human nature hypothesis of "innovator".Based on the basic idea of "innovator" hypothesis, this paper constructs the corresponding knowledge organizational behavior model, and elaborates the knowledge organizational behavior model from five aspects: organizational purpose, organizational key, organizational mode, organizational guarantee, and organizational function.
Στρατηγική βελτιστοποίησης κατάταξης ιστοσελίδων των οργανισμών πληροφόρησης στις μηχανές αναζήτησης

The evolution of the Internet has revolutionized the way we search for information in our everyday lives. Search engines are the most effective way to look for this information and so they provide a service through which users are being attracted to websites.The evolution of the internet has caused a remarkable revolution in many areas, most importantly the way in which information is sought in everyday life. Search engines are initially a means of effectively searching for information on the internet but then a service that attracts the public to corporate websites (Chaffey 2008).This dissertation seeks to evaluate the use of SEO techniques for information organizations, based on the websites of six library organizations. Specifically, in the present research, 6 well-known libraries were examined, in terms of their global ranking in the ranking lists and the characteristics of their websites. The libraries are the Boston Public Library, Bibliotheque National De France, Alexandria Library, New York Public Library, British Library and Library of Congress. The websites of the libraries were examined using specific software, each of which evaluates some parameters. The software is Similar Web, Checkbot, SEMRush, Backlink Checker, a load speed measurement software, and GTMetrix.The results of the research showed that the library of France is by far the first in terms of the number of visitors, while most direct searches are made for the library of New York and Boston, which attracts a significant percentage of its visitors through advertising, while the British Library has the highest percentage of random searches. Finally, it was found that the libraries that are higher in the ranking, have more keywords on their page and better performance on mobiles and computers.
Digital Watermarking Algorithm Based on Chaotic and Wavelet Transform

To protect the copyright of multimedia data effectively, the adaptive digital watermarking algorithm is presented in this paper, which based on chaotic sequence and two-dimensional wavelet transform. Firstly, a chaotic sequence generated by Logistic chaotic map is utilized to encrypt watermark image. Then the strength and position of watermark embedding are obtained by discrete wavelet transform of host image. Finally the encrypted watermark is embedded in the host image. The experimental results show this method has better effect: the watermark is invisibility and robust against common image. It can protect multimedia data effectively.
The Use of Vlogging as a Media in Online Class

This research aims to find out whether there is an effect on using Vlogging as a media towards the students’ speaking skill in online class, in academic year 2019/2020. This research is quasi-experimental research that carried out at Eleventh grade students of MA Muallimin Muhammadiyah Bangkinang. It involved 52 students of two classes, XI Agama Putri as experimental class and XI Agama Putra as control class. Each class consisted of 26 students. The experimental class was taught by using Vlogging as a media while control class was taught by using Voice Recording. The data were analyzed by using T-test formula. Based on the collecting data, it was obtained that t_(count )is 6 and t_(table )is 1,67 where α is 0,05. It showed that t_(count )higher than t_(table )(6 higher than 1,67), so that〖 H〗_0 is rejected and H_a is accepted. It means there is a significant difference in the students’ speaking skill between the students who were taught by using Vlogging and those who were taught by using Voice Recording. Based on the result findings, it can be concluded that the use of Vlogging in teaching speaking skill in online class is effective.
Application of ellipsoidal approximation into target tracking for multi UAVs formation cooperative detection

This paper studies the ground target positioning and tracking algorithm for cooperative detection of multi unmanned aerial vehicles (UAVs) formation, and a real time and rapid algorithm is discussed based on UAV airborne electro-optical sensors. Firstly in case of known probabilistic distribution on noise, unscented Kalman filter algorithm is applied to estimate the unknown state for target tracking process. Secondly to relax the strict condition on white noise in Kalman filtering theory, the target tracking or state estimation are reduced to derive the inner and outer ellipsoidal approximations for the state in case of unknown but bounded noise. More general cases are studied with the number of the ellipsoids, and some alternative forms are derived to obtain the approximate outer and inner ellipsoidal approximations. Finally, one simulation example confirms our theoretical results.
Deep Learning for Edge Computing: A Survey

A compendium of Deep Learning algorithms that are applied in Edge Computing through IoT devices that generate a large amount of data and representative image types was analyzed. The problem is the lack of proposals for the analysis and recommendation of Deep Learning algorithms that use data from devices in an Edge Computing. The objective is to carry out a survey as a research technique for the collection of data on Deep Learning algorithms for Edge Computing in different application areas, and determine which algorithm is most used and efficient. The applied methodology is exploratory research for the study of problems associated with the treatment and processing of data in different areas, gradual approach and deduction based on information from selected references on Deep Learning and Edge Computing. This research resulted in an Impact of Deep Learning on Edge Computing, a Deep Learning Algorithm Summary and an Edge Computing Summary resulted. It was concluded that according to the analysis carried out, the best algorithm is DNN due to its high degree of precision 98% in different areas; DNN stands out for the complexity of its structure that uses multiple layers (input, hidden and output) for the processing and training of the neurons that make it up.
Research on Metadata Specification of Service Data Resources Under the Background of Data Transaction

This paper designs the service data resource metadata standard system and catalog vocabulary by investigating the status of service data resource descriptions of mainstream data trading platforms at home and abroad, and referring to W3C's official recommendation standard DCAT and Dublin core metadata. The service data resource metadata interaction model is designed by referring to the RDF/XML framework. The service data resource metadata standard applying RDF/XML grammar specification will effectively support the registration and authentication of data products, transaction process management, data demanders' understanding and use of purchased data, and market supervision.
Psychological transformation methods and Countermeasures of higher vocational students with mathematics learning disabilities

In recent years, the learning disabilities of vocational school students for their weak mathematical foundation and lack of interest have become a hot topic in vocational education. Mathematics learning disabilities of vocational school students are not only objective learning difficulties, but also subjective learning psychology problems. Exploring the psychology transformation methods and countermeasures of mathematics learning disabilities of higher vocational students provides an important reference for solving this problem.
국내 체류 외국인을 위한 응급 상황 대비 한국어교육 어휘·표현 목록 선정

The purpose of this study is to help foreigners living more safely while staying in Korea by providing Korean vocabulary and expression lists necessary to inform and resolve the situation on their own in emergency situations. The six most widely used university textbooks were analyzed, and a questionnaire survey was conducted on foreigners residing in Korea to find out the current situation. In addition, this paper classified emergency situations ‘fire, rescue and first aid’ by analyzing the guidelines of the 119 emergency center in Korea, and presented a list of Korean expressions that must be known in each emergency situation and dialogues that can be applied to actual situations based on the list. This can be said to have various values as it can be used not only in Korean language education textbooks, but also as essential educational materials for foreigners staying in Korea.(Yonsei University)
Making Single-Page Apps

A single-page application (SPA) is a web application or website that interacts with the web browser by dynamically refreshing part of the current web page with new data from the web server, instead of the default method of the browser loading entire new pages. The goal is faster transitions that make the website feel more like a native app.
KETIDAKPASTIAN LINGKUNGAN ORGANISASI BERIMPLIKASI TERHADAP PEMILIHAN SISTEM PENGENDALIAN MANAJEMEN

Management control systems in organizations are one of the important topics in management accounting. The selection of the right management control system is actually influenced by environmental uncertainty in the organization. It is necessary to review the literature regarding the implications of the uncertainty of the organization's environment on the selection of a management control system. This article is compiled based on the ideas supported by a literature review using content analysis. The content analysis stage starts from searching for relevant articles, selecting articles and collecting criteria for each article. The result is that the system changes that will be used are closely related to the organizational structure, objectives, and implementation of planning. This is because the control system itself actually means as a device of interconnected communication structures that facilitate information processing with the aim of helping management coordinate the parts that exist to achieve organizational goals on an ongoing basis. The uncertainty of the organization's environment clearly has on the selection of a management control system, so that with a rapidly changing environment the organization has implications for the need for more detailed information in order to maximize the function of the management control system.
THE IMPACT OF COVID-19 MEDIATED BY HUMAN RESILIENCE IN MICROENTREPRENEURS IN THE BRANCH OF BEAUTY

This research aims to analyze the degree of resilience of individual microentrepreneurs who work in the beauty industry in a city in Rio Grande do Norte during the COVID-19 pandemic For methodological purposes, this study has a descriptive character of a quantitative nature Virtual interviews were conducted through the WhatsApp app, in compliance with the recommendation of social isolation (WHO, 2020), with ten micro-entrepreneurs in the beauty industry in the city of Mossoro-RN To understand the reports obtained, we used the technique of Analysis of Nuclei of Sense (ANS), adapted by Mendes (2007) As for the results of the data, new categories emerged associated with the dimensions of human resilience proposed by Perim et al (2015) Based on the reports presented, in general, the interviewees showed low levels of human resilience Thus, the study has managerial relevance when considering and analyzing this construct as a personality trait necessary to face moments of crisis and organizational competitiveness In addition, there is the academic relevance of the research, since there were no studies on resilience of micro-entrepreneurs in the context of the COVID-19 pandemic, making this a research gap
A HOMOMORPHIC ENCRYPTION BASED ON-LINE VOTING SYSTEM

This paper developed for the risk free and person oriented Online Voting System. The Online Voting gadget is made for the humans of the united states living round the world and needs to vote for their representative. The election can be carried out in two methods the paper ballot election and the computerized ballot elections. The automatic ballot elections are referred to as the digital voting. The on line vote casting device is rather developed and the on-line polling machine can be changed through precisely and at once vote casting on line and on the spot results. The on line balloting gadget is completed by using the net so it can be known as the Internet Voting. The gadget proceeds the on-line vote casting machine in a new approach known as Homomorphic Encryption . Homogeneous encryption is the form of encryption, which lets the computer generate encrypted end results in ciphertexts, as though they were performed in a plaintext, when decrypted, which matches the end result of the operations. In this paper we have a digital voting device based on homomorphic encryption to make sure that the vote is confidential. The benefits of multi-homorphic encryption systems are all presented in our suggestion. The proposed electoral system is suitable for elections that include non-partial votes and for multi-candidate elections. For outsourced storage and counting, homomorphic encryption can be used.
SnelSLiM, a user-friendly and fast tool to perform better keyword analysis through Stable Lexical Marker Analysis

This paper introduces snelSLiM, a corpus linguistics tool to perform keyword analysis using Stable Lexical Marker Analysis. SLMA goes beyond regular keyword analysis by assuring stability across the documents within a corpus and can be used with a contrastive or specific reference corpus as well as a general reference corpus. With snelSLiM, it is easy to perform SLMA as well as explore the resulting keywords through a user-friendly web interface. Great performance, support for many corpus formats, collocational analysis of keywords and visualizations make it an attractive tool for initial exploration of new corpora. A demo version is available on http://demo.snelslim.org/
Incorporating OMA LWM2M for Firmware Update

Internet of Things (IoT) makes the Internet available to billions of users.Managing large quantities of devices is very critical.Among many other protocols, the global standards adopted Lightweight Machine 2 Machine(LWM2M) defines many traditional system management functions, such as remote device functions, firmware and software updates, communication monitoring, and security.Accessible Mobile Alliance Light-weight specification (OMA LwM2M) has given greater interoperability of applications to the absence of effort faced by the heterogeneous design, fragmented evolution environment and the interface between established solutions.This paper explains the firmware update architecture of LWM2M artefacts using standard OMA Specification.This involves downloading firmware kit, upgrading settings, upgrading states, and taking action after firmware updates
SPECIFICS OF THE MOTIVATIONAL SPHERE IN STUDENTS IN DIFFERENT FORMS OF EDUCATION

S. Frolova1, S. Esina1, N. Pribylova2 1Witte Moscow University (RUSSIAN FEDERATION) 2Moscow City University (RUSSIAN FEDERATION)
Impact of Expanding Window from Three Years to Five Years for Research Performance Parameter in India Rankings

The India Rankings 2020 was announced the 5th annual edition of ranking for higher educational institutions in India based on National Institutional Ranking Framework (NIRF). The impact of NIRF among institutions is progressive on their output, outcomes, and outreach to the society. The government of India is also concentrating on several policy decisions in the education sector based on the results of India Rankings. This paper is focused on the study of Research Performance (RP) parameter on India Rankings while expanding five-years window instead of three-years window. Moreover, the study is also focused on Pearson correlation between three-years research performance score and five-years RP score and weighted score of institutions. It is attempted to derive the Spearman rank correlation between RP rank and overall rank based on all parameters score.
Best Practices in Designing and Implementing Cloud Authentication Schemes

At present, the development and innovation in any business/engineering field are inseparable from the computer and network infrastructure that supports the core business. The world has been turning into an era of rapid development of information technology. Every year, there are more individuals and companies that start using cloud storages and other cloud services for computing and information storage. Therefore, the security of sensitive information in cloud becomes a very important challenge that needs to be addressed. The cloud authentication is a special form of authentication for today’s enterprise IT infrastructure. Cloud applications communicate with the LDAP server which could be an on-premises directory server or an identity management service running on cloud. Due to the complex nature of cloud authentication, an effective and fast authentication scheme is required for successful cloud applications. In this study, we designed several cloud authorization schemes to integrate an onpremises or cloud-based directory service with a cloud application. We also discussed the pros and cons of different approaches to illustrate the best practices on this topic.
Musical Creativity, Mobile Technology, and Middle School

The chapter focuses on examining musical creativity in middle school general music by the use of digital technology, from the perspective of a middle school music teacher who is working with digital natives. It provides practical lesson plans concerning the use of digital audio workstation (DAW) apps and Chrome Music Lab apps to compose music, music notation apps for notating compositions, and ScratchJr for creating music tutorials. Tablets and hand-held devices are morphed into tools for adolescents to express their creative musicianship, leading to a transformation of a middle school general music class.
Federated Learning for Mobile and Embedded Systems

An increase in the performance of mobile devices has started a revolution in deploying artificial intelligence (AI) algorithms on mobile and embedded systems. In addition, fueled by the need for privacy-aware insights into data, we see a strong push towards federated machine learning, where data is stored locally and not shared with a central server. By allowing data to stay on client devices and do training locally, we work towards a more privacy-friendly future. Furthermore, utilizing federated machine learning enables machine learning in data-constrained environments where bandwidth is not sufficient to upload the entire dataset. In this thesis, we look at the recent trend into less complex machine learning models. These models optimize resource usage while reducing accuracy loss. We investigate how these simpler models hold up within a federated setting. We also look into the developments of AI frameworks and their capabilities for mobile platforms. Based on these findings, we propose that model-hyper-parameter optimization is possible to maximize accuracy for smaller networks during federated learning. We show that it is possible to reduce the accuracy loss from 15% to only 0.04%. We then demonstrate what a mobile implementation looks like and the performance we see from an iPhone X. We show that an iPhone implementation takes less than 2x the amount of a regular laptop implementation. Finally, we demonstrate that we can reduce the model-size by up to 7x using modern weight quantization methods.
Soldier Security and Health Monitoring System

Nowadays enemy conflict is an important factor in any security. The ministry of defense of country must be effective for the security of that country the national security mainly depends on army, navy, and air-force. There are many concerns related to the safety of these soldiers. This system will be useful for soldiers, who involve in wars or in special operations. In this project, a smart system is attached to the body of the soldiers. This is implemented with a server for complete mobility. This server will provide the connectivity to the server at the central administration using a wireless connection. Each soldier also has a Global Positioning System module which informs the information regarding position of the soldier in the form of Longitude and Altitudes. When any other soldier enters the battlefront, it is very difficult for the army central administration to know about the position as well as the health status of all soldiers. In our project we have come up with an idea of monitoring the health of the soldiers and soldier security system.