Reviewerly/exHarmony huggingface dataset:
Joint Coverage and Resource Allocation for Federated Learning in UAV-Enabled Networks

Thanks to its communication efficiency and low latency, federated learning (FL) has emerged as a promising learning paradigm in the unmanned aerial vehicle (UAV)-enabled networks; nevertheless, the great potential of FL in UAV networks is realizable only upon optimizing crucial factors such as coverage and transmission delay. In this paper, we study the problem of joint coverage optimization and efficient radio resource allocation. The objective is to minimize the convergence time of FL in a UAV-enabled network, where UAVs perform learning over an inhomogeneous sensor network. To this end, we develop a method that minimizes the FL computation and communication time in each global iteration: First, the algorithm adjusts the UAVs&#x2019; locations to control the average number of sensors associated with each UAV to maximize the coverage and to reduce the overall computation time. The UAVs&#x2019; locations also affect their transmission delay. Thus, in the second step, the method uses a fair resource allocation scheme for channel allocation and power control to minimize the FL communication time while retaining the efficiency of resource expenditure.
Market Forecasting by Variable Selection of Indicators and Emotion Scores from Text Data

The size of financial markets has become huge, research on mechanisms is becoming more critical, and research is progressing. In addition to research on financial market modelling, there have been increasing attempts to clarify the mechanism of the Financial Markets Commission by associating markets with events that occur outside the market. Therefore, in this study, we investigate the effects of factors outside the market on exchange rates and consider the mechanisms necessary to consider the effects of automatic trading. We propose an analysis method for automatic trading of foreign exchange that considers external and internal factors in the market.
Learning sign language basics supported by assistive technology

Individuals with hearing disabilities face numerous obstacles with regards to the practice of tourism activities and the use of infrastructure and services. Cultural settings are far from being inclusive for deaf tourists. The lack of knowledge of sign language among the non-deaf population is an obstacle. The ICHT &#x2013; Inclusive Cultural Heritage Tourism project is expected to bring R&#x0026;D world-class results in the field of automatic sign language translation to raise awareness to sign language and to motivate touristic operators to learn the basis of sign language communication to welcome and assist deaf tourists. Reducing barriers to the communication between deaf tourists and local touristic operators is expected to develop inclusive and innovative tools to promote accessibility and inclusion.
Applying Object Oriented Programming Concepts with Food Ordering System

An ONLIINE FOOD ORDERING SYSTEM is mainly designed primarily function for use in the food delivery industry. This system will allow hotels and restaurants to increase online food ordering such type of business. The customers can be selected food menu items just in few minutes. In the modern food industries allow to quickly and easily delivery on customer place .Restaurant employees then use these orders through an easy to delivery on customer place easy find out The order confirmation is sent to the customer. The order is placed in the queue and updated in the database and returned in real time. This system assists the staff to go through the orders in real time and process it efficiently with minimal errors.
Understanding In-Depth About Data Centre Security: Core Concepts &amp; Market Growth

Abstract: Enterprises often perceive Data Centers as a key resource and demand dedicated security initiatives. Further, the emergence of security of the Data Center is playing a critical role in security-critical applications and data in a virtualized environment through optimal safeguarding. The providers of the Data Center have increased their focus. They have shown their participation in the market by enhancing products to augment the increasing demand for Data Center security solutions to address the rising needs of growing industries. This paper discusses various concepts of Data Center security along with its projected market growth on a global level. Keywords: Data Centers, Data Center Security, Data Center Security Importance, Data Center Security Market Growth, Data Center Security Practices
LIBYA: Violence Hits Economy

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 59, Issue 4 p. 23563B-23564B National Security LIBYA: Violence Hits Economy First published: 14 May 2022 https://doi.org/10.1111/j.1467-825X.2022.10503.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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume59, Issue4May 2022Pages 23563B-23564B RelatedInformation
Project Future Membership Numbers

The Membership Management ReportVolume 18, Issue 6 p. 6-6 Essential Membership Metrics Project Future Membership Numbers First published: 04 May 2022 https://doi.org/10.1002/mmr.31927Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue6June 2022Pages 6-6 RelatedInformation
Online Platforms in Mobile Learning as Online Learning Media during the COVID-19 Pandemic

&lt;p class="HeaderAbs"&gt;&lt;em&gt;This paper aims to describe platforms in mobile learning during the pandemic. This writing was motivated by an uncontrolled pandemic that made several aspects uncontrollable, including education, so learning activities were forced to change. Therefore, there is a need to update learning through learning media with several platforms available for mobile learning. This online platform in mobile learning is a medium that can solve students' problems during a pandemic that helps the learning process run. The method used in this paper was to use a literature study that examined several sources of articles from research results published to be analyzed and draw conclusions. This paper indicated that platforms such as Google Classroom, Zoom, and Microsoft Teams could solve problems during the pandemic. The average result was more than 60% based on the data presented. This figure is considered to have reached the effective criteria. Learning using online platforms, such as Google Classroom, Zoom, and Microsoft Teams, can be an alternative and help activate students when offline learning cannot be carried out, even mobile-based learning media.&lt;/em&gt;&lt;/p&gt;
Inter-IP Malicious Modification Detection through Static Information Flow Tracking

To help expand the usage of formal methods in the hardware security domain. We propose a static register-transfer level (RTL) security analysis framework and an electronic design automation (EDA) tool named If-Tracker to support the proposed framework. Through this framework, a data-flow model will be automatically extracted from the RTL description of the SoC. Information flow security properties will then be generated. The tool checks all possible inter-IP paths to verify whether any property violations exist. The effectiveness of the proposed framework is demonstrated on customized SoC designs using AMBA bus where malicious modifications are inserted across multiple IPs. Existing IP level security analysis tools cannot detect such Trojans. Compared to commercial formal tools such as Cadence JasperGold and Synopsys VC-Formal, our framework provides a much simpler user interface and can identify more types of malicious modifications.
Social Media Analysis of Customer Emotions in Pizza Industry

Abstract The paper, ’Social Media Analysis of Customer Emotions in Pizza Industry’ by Muhammad Umar Nasir, Urva Rehmat and Imran Ahmad, published in The Computer Journal (April 2022), looks at social media influence on UK pizza sales.
Impact of FDI and Trade on African Economies: Developing Neural Network Feedforward Structure for a COVID-19 Scenario

African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been important for the growth prospects of African Economies. In this paper, we attempt to study the impact of FDI and Trade in a COVID-19 scenario on the African Economies. We also study the lockdown restrictions in different regions of Africa. Applying Neural Network Analysis for the sample of 36 African Economies we identify the significant economic variables for GDP. The analysis based on a feedforward structure suggests that Merchandize Exports (MEXP) and Foreign Direct Investment Stock (FDIS) have very strong causal linkages with the GDP for African Economies sample. On the other hand, Merchandise Imports (MIMP), Services Exports (SEMP), Services Imports (SIMP), and Foreign Direct Investment Inflows (FDII) have a strong and significant relationship with GDP for the African Economies. Tariff Measures (TRFF), Anti-Dumping measures (ADP) and Foreign Direct Investment Outflows (FDIO) have no significant relationship.
AXIOLOGICAL FOUNDATIONS OF PERSONALITY UNDER THE CONDITIONS OF SOCIAL AND CULTURAL TRANSFORMATION OF THE SOCIETY

In the conditions of sociocultural transformation of society, there is a change in the system of values that determine social reality, which are basic, these are ideas about norms and values, as well as axiological innovations that characterize the ongoing process of revaluation of values. This process extremely complicates the adaptive potential of an individual, has a deforming effect on his personal development, leads to an increase in maladaptive potential and an identity crisis. This, in turn, leads to a change in the previously learned system of norms and values and the formation of a new hierarchy of higher values of being and society as a whole.
Five Ways to Maintain a Positive Mindset

The Membership Management ReportVolume 18, Issue 6 p. 7-7 Keys to Workplace Success Five Ways to Maintain a Positive Mindset First published: 04 May 2022 https://doi.org/10.1002/mmr.31930Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue6June 2022Pages 7-7 RelatedInformation
Research on Simulation Method of Aircraft Design Based on Apriori Algorithm Analysis Research

Abstract Aiming at the optimization problem of the aircraft design simulation method, in order to solve related problems, a new optimization method using gradient algorithm is proposed, and it is combined with Apriori algorithm analysis. Apriori algorithm analysis has advantages as well as some disadvantages. The advantage lies in its global optimization processing, while the limitation lies in its early maturity, and the local optimization performance needs to be improved. For this problem, this article adds the gradient algorithm to the experimental process. By accelerating the implementation of the gradient algorithm and retaining the optimal solution of the iterative process, global convergence is achieved, thereby increasing the calculation speed to a certain extent.
A Survey of Metadata Retrieval through Sentiment Analysis

Due to increasing popularity of videos, video sharing platforms play an important role for millions of content creators to watch videos online. Online content publishing platforms such as YouTube, Facebook and Twitch allows content creators to monetize their posted contents/videos. In which metadata such as title, tag, thumbnail, etc. plays a key role in promoting videos. Most of the digital contents are popular due to the interaction between the content creators and YouTube viewers through their owned channels. The sentiment of each metadata is empirically examined for live streaming, which is spread over 25,000 channels containing across 7 million videos. Metadata which impact the video’s view count are number of subscribers, day one view count, video thumbnail, keywords, Google hits, video category, title’s upper-case letters count and length of the title. These features are mainly used to find the popularity and trendiness of a video. Popularity of a digital content or a video is increased by optimizing metadata after a video is posted. This paper focuses on extracting and analysing the metadata from a video which is then followed by a decision making on the video content. Sentiment analysis is used for such a classification.
THE FACTOR IMPACT ON SATISFACTION AND PERFORMANCE: A STUDY OF THE ACCOUNTING EMPLOYEE DURING COVID-19 ERA

The field of accounting work is based on historical data and evidence of original transactions and authorizations performed offline. However, it becomes very different for employee behavior with the implementation of the work system from home, as a form of prevention protocol during the COVID-19 pandemic. This study seeks to emphasize the behavior of accounting employees in various companies by applying the pattern of working from home (WFH). The study entails a comprehensive study of the impact of WFH culture in online the work systems context. The study examines the factors that impact WFH culture, namely competency and motivation, and the projection of satisfaction and performance. This study examines the impact of competency and motivation factors on WFH culture and their subsequent impact on satisfaction and performance. Personal interview data from 340 accounting employees provides the data from empirical hypotheses testing the relationship between variables. The conceptual models investigate the relevant relationships among the constructs using confirmatory factor analysis (CFA) and structural equation modeling (SEM) with SmartPLS 3. Finding from the research sample support the argument that competency, motivation, satisfaction, and performance are the critical determinants of WFH culture. The papers also include a discussion of the theoretical and managerial research findings.
AAPNA library

The article is an idea and approach to describe a web platform, "AAPNA Library: A Web App Solution for Sharing and Borrowing Used Books", which may be designed to spread information about the books which are expected to be given by different individuals and to discover a place where these books can be utilized by the users who need them. The web app will maintain databases of given books which may incorporate textbooks, reference books, competitive exam-related books, etc. Numerous poor students may benefit from this website. AAPNA Library will maximize the utilization of used books and help the poor people to get their books for free, on the off chance that any of the donated books match their request.
ANOTHER DIMENSION OF COMMUNICATION “EXAMPLE OF METAVERSE IN THE VIRTUAL WORLD”

Starting from the 1990s with the birth of the Internet, the development of social networks, augmented reality applications and digital transformation from the real world to the virtual world today have developed in many areas. These developments in the virtual universe have gained great importance recently as they enable real and legal persons to interact on digital platforms. The digitalization process that started with web 1.0, which we perceive as reading what is written on the internet, was followed by producing content with Web 2.0, and even bloggers, youtubers, influencers became widespread in this period. With Web 3.0, a decentralized platform is aimed without any intermediaries (Twitter, Facebook, Instagram, etc.). With this development, a virtual but also a real universe was born that not only makes use of the internet, but also offers the opportunity to live in the internet. People choose the most suitable one among these universes, which is called the metaverse, consisting of the combination of the words "meta" and "universe", and combine different technologies in the internet environment to buy land, shop, play games, make their own designs and socialize. Over time, individuals who grow up on the Internet are formed, and these "digital natives" will become the businessmen, teachers, lawyers, doctors of the future and will transfer these technological innovations to their lives throughout their lives. Metaverse, called augmented reality with XR Technology, is a computer-based and wearable technology. For this reason, the tools used to implement the metaverse world should be light, easy to access and portable, and the person who will use this system should have technological knowledge In this study; Metaserve, which came into our lives through the developments in information processing technologies and digital avatars, provides a virtual culture in social relations and communications, apart from evaluating it as an active and enjoyable leisure time. It is evaluated that it causes malfunctions and solutions are offered to minimize them. Keywords: Digital Communication, Metaverse, Virtual Reality, Augmented Reality, Mixed Reality
Particle swarm optimizer enhanced with local genetic operator

As is known, effective learning exemplar and proper topology structure play important roles for improving the performance of Particle swarm optimization. Traditional learning exemplars are often criticized due to the loss of population diversity and easy falls to local optima. Aiming for constructing diversified learning exemplar, in this paper, particle swarm optimizer with local genetic operator (PSOLG) is introduced. PSOLG uses genetic operation to generate promising learning exemplars for particles. In addition, ring topology is utilized for maintaining population diversity. The proposed PSOLG is against with 7 PSO and non-PSO methods. The experiment shows that the PSOLG performs better than peer algorithms for solving optimization problems.
The Numerical Solution of Poisson Equations using Wavelet based Multigrid Method

The potential energy field produced by a given charge or mass density distribution is described using the Poisson equation. This study presents a numerical solution to the Poisson equation using a wavelet-based multi-grid approach. The proposed method is superior to the existing method in terms of fast convergence and reduced processing time. Some of the problems are used to show the method's applicability and validity.
Interpreting Information Infrastructures

The final chapter highlights key issues in the study of information infrastructures in India that warrant further research. It deals with some of the characteristics of infrastructure, its continuities, the fact that infrastructures are contingent and that its access and use involve learnings. It deals with anti-infrastructure contestations in India such as that waged by the Maoists. If infrastructures need to be “learned” is there a case for digital literacies that will enable ordinary people to negotiate digital and mobile infrastructures? At the same time, this chapter deals with the need for researchers to critically interrogate information infrastructures and to broaden the canvas of investigation to include data centres along with old and new information infrastructures. The key question however remains a persistent one—who benefits?
The Effects of Flipped Learning on College English Grammar Classes in Online Educational Environments

The purpose of this study was to explore the effect of flipped learning on the acquisition of grammar in online educational settings by low proficiency Korean EFL learners. In order to examine whether flipped learning has a more positive effect on English grammar improvement than traditional instruction, the experimental group(n=38) received flipped learning lessons while the control group(n=42) received conventional lecture-centered teaching for 9 weeks. Grammar tests and questionnaires were given to the participants for data collection and the SPSS statistics was used for data analysis. The findings showed that 1) the grammar test scores in the flipped learning English classes were not statistically different from those of the conventional instruction class. However, 2) there was a tendency for flipped learning to be more effective in improving learners
Privacy Preservation for Encrypted Data in Cloud Computing

Cloud computing is becoming increasingly popular and promises to revolutionize the future of IT service delivery. However, security and privacy concerns continue to hinder cloud adoption. Some of the challenges and open issues associated with privacy preserving concern in cloud computing are also discussed. The distributed computing is another figuring model which originates from lattice processing, disseminated registering, parallel processing virtualization innovation, utility figuring and other PC advancements. The security issue of distributed computing is essential and it can keep the fast improvement of distributed computing. In this paper, the proposed technique is utilized for information stockpiling and recovers in secure way. FHE plot is utilized to scramble the information and furthermore give indication to store the information in distributed storage.
SOCIAL AND ECONOMIC FACTORS THAT IMPACT CRYPTOCURRENCY

This research paper revolves around several factors that affect cryptocurrency and its efciency shortly. Many great scholars have talked differently about this concept. To nd where cryptocurrency is bound to be, a survey was conducted with necessary questions and a total of 200 responses were received which in turn, helped us to analyze and interpret various economic and social factors impacting its standing in the business sector. Certain limitations and suggestions were generated at the end of the research analysis, followed by the conclusion. It also explores the users' condence in dealing with cryptocurrency in a time when the usage of such virtual cash was not fully managed and regulated. Besides, the paper is aimed to measure the spread of cryptocurrency use to have a clear photo from the practical view. The paper additionally analyses how certain remarkable international locations have responded in terms of recommendations.
Five Ways to Draw Free Publicity for Your Event

The Membership Management ReportVolume 18, Issue 6 p. 4-4 Promoting Member Events Five Ways to Draw Free Publicity for Your Event First published: 04 May 2022 https://doi.org/10.1002/mmr.31924Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue6June 2022Pages 4-4 RelatedInformation