Reviewerly/exHarmony huggingface dataset:
Os impactos da covid-19 no setor de serviços no mundo: uma revisão sistemática / Impacts of covid-19 on the service sector around the world: a systematic review

2020 is marked by the spread of the new coronavirus around the world, causing economic, social, psychological, and health effects on the population.In this context, due to its high level of contact with society and its economic importance, the service sector is also strikingly impacted.Our study aims to analyze how research on the service sector is being carried out during the first six months of the Covid-19 pandemic and to understand how current circumstances impact the service industry.To this end, we have performed a systematic literature review, considering 14 studies found in the Scopus and Web of Science databases.Our results demonstrate that the segments focused by these studies are retail and food services, hospitality and tourism, health, travel, and leisure.Based on these researches, we have found impacts of the pandemic on work settings, safety, customer relations, supply and consumption, economy, and income, as well as effects on different social groups.The projections found for the post-pandemic world encourage investment in innovations and technology, remote work, security, supply chain, contingency plans, public policies, among others.Intending to assist in the strategies that should be outlined, we also point out projections and reflections concerning the trends and needs of the transformations in the post-pandemic world.
Development of a New Blind Watermarking for Medical Images

Securing the data of patient and keeping the information confidential has become a challenging task at present days. More number of chances are available for information alteration or security breach. When the information is transferred from source to destination digital image watermarking technique is most commonly used to secure the patient’s information watermarking provides the copy right protection, authentication proof and detection of tampering. This paper presents a watermarking technique to embed patient’s information in a medical image so that information can be transferred securely and information alteration would be prevented. An Arnold Chaotic Map is applied to the sensitive watermark image to scramble the pixels in the sensitive watermark image. The cover medical image is partitioned into non overlapping blocks and DCT is applied to each block. Each and every bit of the watermark image is embedded into block by using Weber Descriptor. By using this Weber Descriptor robustness of an image will be increased. An experimental result shows that the proposed algorithm improves the robustness against various attacks like compression, filtering and noising.
Low-Light Image Enhancement Combining U-Net and Self-attention Mechanism

To solve the problems of the low-light images, such as low brightness, lack of saturation, and insufficient details. A low-light image enhancement method combining U-Net and Self-attention mechanism is proposed. The VGG network is added to the generator to construct the content perception loss to make sure that the enhanced image will not lose too many original image features. The color loss is introduced to enrich the color information of the enhanced image, which is combined with the counter loss in a weighted form to optimize the low-light image enhancement method. The self-attention module is introduced into the U-Net framework to make sure that the enhanced image has rich details features. This method is tested in the LOL, DICM, and ExDark data sets. The results show that compared with the existing mainstream methods, this method not only improves the overall brightness and sharpness of low-light images, also enriches the details features. The image enhancement effect is obvious, and the PSNR, SSIM, and NIQE evaluation indicators are significantly improved.
A statistical information system in support of job policies orientation

A significant problem for labour market policies relies on the individuation of the most advisable skills to have and to enhance through focused training offers. Vocational training systems and institutions are called to answer the question posed by every person looking for a new job or professional opportunities: which are the skills-to-have to enhance the professional profile? Many efforts have been made to answer this question, mainly designing predictive models; however, these models are often limited to specific economic sectors and usually don’t adopt a country-specific perspective. This paper proposes a recommendation system oriented to specific users: once that the user has described his/her skills profile, the system suggests the skills that, once got, will fit with the most frequent job vacancies. In this proposal perspective, the skills are proposed regardless of the economic sector, and they are compatible with the characteristics of the specific country labour market. In this contribution, we will focus on the Italian market; the recommendation system is based on the job ads published by Italian companies on various websites for both 2019 and 2020 after the skills required for each job offer have been mapped to one of the skills presented in the classification of European Skills/ competence, qualifications ad Occupations (ESCO).
Amalgamation of Blockchain Technology and Internet of Things in Securing Clouds

Blockchain Technology has gotten a great deal of consideration from both industry and the scholarly world due to its decentralized, persistency, namelessness and auditability properties. In this review, utilization of Blockchain innovation in wide applications region and its execution challenges have been finished. A thorough quest for diary/research article identified with Blockchain innovation have been checked on. We have considered five data sets to lead this study specifically Science direct, IEEE Xplore, Web of Science, ACM Digital Library and Inderscience are being utilized. After starting stage end 135 examination articles are considered in last data sets for the overview. Principle focal point of the review is to give an extensive examination on wide utilizations of Blockchain innovation for the scholastic exploration local area. In this paper difficulties in carrying out of Blockchain and its related security and protection issues have been talked about. Interestingly a study of this sort have been done where Blockchain with application and its related security and protection issue have been inspected.
Theoretical and Methodological Significance of Television Education

In 2019, the SARS-CoV-2 virus from Wuhan, China, forced the introduction of new areas of education in the international arena. From this time onwards, education through TV courses became more relevant. However, the roots of tele-education go back more than half a century. The evolution of television education is also seen as the best way to increase the literacy of the country's population. The classification and development trends of educational TV programs also play an important role in this. The article analyzes the specifics of television educational programs.
Proposal of a tag-playing robot’s approaching method to touch a person

We are aiming to develop a robot that plays “play tag.” The purpose of this study is to propose a method for a robot to approach a person with the intention of touching the person. Specifically, we set up a circle around the person and propose a method that leaves along the tangent line of the circle and a method that selects the contact point according to the movement of the person to be followed.
A STUDY OF DYNAMICS AND PERFORMANCE INDICATORS OF COAL MINES AND THERMAL POWER PLANTS IN CANADA BASED ON REMOTE SENSING DATA

the paper presents the results of studying the operation of coal mines and thermal plants in Canada.remote sensing studies and analytical calculations revealed the number of mining and haulage machines working in the coal pits, as well as determined the annual volume of overburden and coal excavation.the results of satellite observations helped to reveal a trend to reduce the share of coal-fired electric power generation.
Static

The static keyword is used to create fields and methods that can be accessed without having to make an instance of the class. Static (class) members only exist in one copy, which belongs to the class itself, whereas instance (non-static) members are created as new copies for each new object. That means static methods can’t use instance members because these methods aren’t part of an instance. On the other hand, instance methods can use both static and instance members.
Server-Based Computing Architecture

The advent of the computer revolution greatly expanded the universe of information and processing power available to the end user. The once simple standalone computer and the software that ran on it grew in complexity, creating a whole new set of problems for enterprise computing. Most corporate applications today are designed for high-bandwidth networks and powerful desktop computers. Security is also a challenge, because in traditional client/server architectures, business-critical applications and data live on both the server and the client desktops spread throughout the world. Server-based computing is a model in which applications are deployed, managed, supported and executed 100 percent on a server. The server-based computing model employs three critical components. Server-based computing is made possible by two Citrix technologies: Citrix Independent Computing Architecture (ICA) and Citrix MultiWin. The ICA protocol transports keystrokes, mouse clicks and screen updates over standard protocols to the client, consuming less than 20 kilobits per second of network bandwidth.
Development of Face Recognition Algorithm System for Verification of Qualification of Functional Personnel in Construction Sites

To stabilize the power system, asset management of the distribution system is essential. There is a legal basis for restricting authorized personnel to perform their assigned duties at the power distribution construction site, but sometimes illegal activities are carried out by unqualified people. This disguised subcontracting is an important issue that should be prevented not only for the lives of workers but also the aspect of managing the company&apos;s assets. In this paper, we propose a qualification verification system using deep learning-based face recognition technology. Face recognition is a technique that distinguishes individuals by extracting shapes and characteristics of their face with an automated device. This paper addresses following three major contributions: First, we introduce how to collect and learn Asian face datasets to improve Asian face recognition performance. Second, we developed and provided algorithms as REST APIs so that they can be used for various purposes and regions. Third, we provide guidelines for improving recognition performance in a noisy environment. Our face recognition system showed very good recognition performance.
Mapping Management Information System for Midwife Clinics in Batam City District

Currently, there is no information system that provides information on the location of geographically integrated midwifery practices in the Batam City sub-district. the application of GIS can be done to map the location of the practice of midwives so that it can be used to find out the location of the practice, hours of service and other necessary information. This research uses descriptive research method and the system development method uses the waterfall method and the design model uses UML. With a mapping management information system developed using web technology so that it can provide information to the public at large
Intelligent product design and its platform based on AI hardware

In recent years, the application of AI hardware technology in different fields has attracted the attention of many scholars studying intelligent product design. Some other research experts have linked AI hardware technology with intelligent product design and platform construction, which also makes it convenient for research experts to further explore the new ideas of AI hardware in intelligent product design. This paper analyzes the design of intelligent products and the meaning, characteristics and function of AI hardware technology. At the same time, this paper also points out the principles and development path of AI hardware technology in intelligent product design. The principles and development methods of AI hardware technology enrich the development ideas of AI hardware technology in intelligent product design, and also lay a certain foundation for the creation of intelligent product platform.
Modified RK-EDA to Solve a Permutation-Based Spare Part Allocation Problem

This paper presents an application of evolutionary algorithms for a spares part allocation problem in the telecom industry. The aim is to have the right spare parts at the right time at the right place in order to improve the quality of the service offered by a telecom organization by maximizing its resource utilization, maximizing revenues, while minimizing the total cost. Previous work has investigated two evolutionary algorithms, a Random Key Estimation of Distribution Algorithm (RKEDA) and a Genetic Algorithm (GA) for this problem and reported a comparable performance for them. We present a modified RKEDA for this problem, compare its performance to previous results, and show further performance improvements that can be achieved.
Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Conference submission management system : Conference Management System – confBay • Number of submissions received : 106 • Number of submissions sent for review : 87 • Number of submissions accepted : 70 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100) : 66% • Average number of reviews per paper : 2 • Total number of reviewers involved : 242 • Any additional info on review process : The reviewers assigned have strong background related to the topics. The reviewers will read papers or case studies and provide the conference editor with detailed and useful comments. The questions editors ask reviewers: i. Does the article or case study say something original? Does it add to the body of knowledge? ii. If it is a case study, is this its first use? iii. If it’s research, is the design, methodology, theoretical approach and critical review sound? iv. Are the results well-presented and have they been correctly interpreted? Is the analysis sufficiently rigorous? v. Is the submission set in the context of the wider literature? vi. Are there sufficient relevant citations? vii. Are these well referenced and are other people's views credited? viii. Is the submission accurate? ix. Is any information missing or wrong? x. Does the title of the submission accurately reflect the contents? xi. How useful would the submission be to a professional or student? xii. Is it an example of “good practice”? xiii. If research-focused, could the study be replicated in other situations? A reviewer may recommend that the editor immediately accepts or rejects a submission, or they may request revisions. Once the authors have resubmitted their paper, it will be reassigned to the same reviewers to check whether their comments have been addressed. If sufficient improvements have been made, the paper will be accepted. If not, authors may be asked to perform multiple revisions or have that paper withdrawn. The authors will receive an email from the conference editor with the final decision. Once accepted, the paper will be processed by our in-house team. • Contact person for queries : Name: Dr. Zul-Atfi Ismail Affiliation: Faculty of Civil Engineering Technology, Universiti Malaysia Perlis Email: zul-atfi@unimap.edu.my
KALANA IS THE ONLY SOURCE OF CREATION AND SOURCE OF ENERGY IN THIS UNIVERSE

One side, most of the researches going on Universe, Space, Black holes, white holes, development of technology etc. and on the other side world is ending due to pollution. The transparent media, to which I’m calling as “Kalana”, that exists during sunlight and disappears at night, is actually brighter then sunlight. But due to pollution, it is looking dark. Wherever pure Kalana exists, there sunlight or any other source of light or Energy have no value. As Pollution increase, darkness also increases and reduces the presence of Kalana. Kalana itself is the source of creation and source of Energy in this universe. Each and everything that exist in this universe is created from Kalana. The outcome of Universal arrangements in Kalana is called “truth”. Truth has its own significant value in our society and everyone wish to be truthful for peaceful life. This is the main reason that, our ancestor was always tried to follow the truth and had advance technology then today what we have. Today’s technologies are not based upon the principle of truth and hence everything has its own side effects.
Importance of Pedagogical Practice in Formation of Professional Competencies in Future Teachers

Research relevance: the issues of organizing and conducting teaching practice at Osh State University are relevant in connection with the increase and improvement of teachers and students educational activities in general. Research objectives: to reveal the goals, objectives, content and criteria for assessing adaptation, vocational-base and vocational-profile practice. Research materials and methods: the article construction based on analysis of educational standards on pedagogical practice, on the main goals and objectives definition in adaptational-pedagogical practice. Research results: experience of organizing and conducting pedagogical practice can be theoretically and practically useful for several pedagogical universities. Conclusions: based on specialties specifics, methodological departments of pedagogical faculties have developed educational methodological complexes and syllabuses for each type of pedagogical practice.
Performance Evaluation of Price-Muller Model Based on Classification Algorithm

In today’s society, frequent transfers of personnel and work have led to a lack of stability in the company’s business. In order to avoid employee resignation, it is urgent to propose a credible framework to analyze the behavior of employees and provide a valuable reference for whether they are willing to resign. Based on the data mining technology and machine learning algorithm, this paper analyzes the resignation information of Kaggle employees. By comparing the original features of the data set, new features can be calculated using Price-Muller’s employee resignation theory, and the new features will be input into a BP neural network and classified, so as to predict whether employees have a tendency to leave.
Chapter 7: A case study in R: COVID-19 epidemic model

The aim of this last chapter is to provide a case study using the statistical SA methods developed in this book, associated to UQ issues. In the same spirit as in the book's other chapters, all the R code commands written for the statistical analysis are also provided. Users are then able to reproduce the entire analysis. The sensitivity R package is mainly used, associated to other useful packages.
Conclusion

This concluding chapter argues that European data protection law, under the General Data Protection Regulation (GDPR), can and ought to be looked at to play a central role in the protection of genetic privacy in biobanking in Europe. In the first instance, the substantive framework presented by the GDPR already offers an impressive baseline level of protection for genetic privacy. In turn, while numerous problems with this baseline standard of protection are identifiable, the GDPR offers the normative flexibility to accommodate solutions to these problems, as well as the procedural mechanisms to facilitate the realisation of solutions. The interaction between GDPR and biobanking is still, however, in the early stages. Whether this potential is realised now depends on the decisions and actions of regulatory stakeholders in the biobanking space. Their decisions have the potential to optimise or undermine the GDPR as a system for the protection of genetic privacy in biobanking. The biobanking community also have consequential choices as to how they perceive and operationalise the GDPR.
CRYPTOCURRENCIES OR CAPITAL MARKETS. COMPARATIVE ANALYSIS OF INVESTMENT EFFICIENCY IN 2011-2020

Cryptocurrencies have become an important element of the global financial system and a frequent investment tool in the last decade. The aim of this paper is to compare the efficiency of investments in the cryptocurrency market with investments in global capital markets. The study used the quotations of the analyzed instruments in the years 2011-2020. The investment efficiency was estimated using Sharpe and Sortino ratios. Research has shown that investments in cryptocurrencies were the most effective. They brought, on average, the highest daily rates of return, but on the other hand, they were characterized by the highest risk. Such a result could have been significantly influenced by the widespread persistence of ultra-low interest rates and a decline in the attractiveness of debt securities. The best results were obtained for investments in bitcoin and ethereum, which have the largest share of cryptocurrency market capitalization.
CURRENT STATE PROGRAMS FOR THE DEVELOPMENT OF HIGHER EDUCATION IN THE IRKUTSK REGION

Introduction. The most crucial factor in the development of a state is the status and performance of the education system. The social and economic stability of a state and its prestige in the international arena depend on how the education system meets the challenges of the modern world. The paper brief y outlines the development of universities in the Irkutsk region in the 21st century and analyzes the regional specifics of the implementation of state programs for enhancing higher education. Methods and materials. The accomplishment of the goal involved the investigation of sources represented by the normative legal acts regulating the education sector; statistical data yearbooks for recent years; and secondary analysis of sociological research data. Theoretical understanding of the topic relies on the studies presented in the monographs, dissertations, and scientific papers focusing on the development of federal and regional educational policy. Results of the research. The study has revealed some problems of the effective functioning of higher education in the region and outlined the proposals put forward to optimize this process. Conclusion. Higher education in the Irkutsk region has some structural problems that impede the development of regional higher education. Federal programs, being a tool designed to transform the education system, are unable to change this situation and do not have a significant impact on the quality of higher education at the present stage.
APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) TO ASSESS THE ROLE OF COVID-19 LOCKDOWN IN THE DOMAIN OF ESTUARINE ACIDIFICATION

The branch of computer science that deals with the simulation of variables with the help of a computer are termed Artificial Intelligence (AI). Here we attempt to predict the pace of acidification in the Digha coast of the Bay of Bengal based on available datasets of more than three decades. The ground zero observation on the data set reveals a decreasing trend of pH since 1984 with a sudden hike in premonsoon 2020, the period coinciding with the COVID 19 lockdown phase in the Indian sub-continent.