Reviewerly/exHarmony huggingface dataset:
Rule-based Health Status Evaluation System

In this paper we present a rule-based generic model for health status evaluation. Considering that the physiological measurements are related to the physical activity that the monitored patient performs, the normal threshold ranges can be used for health status evaluation only when the patient is sitting quietly. For the activities with different intensities, different threshold ranges must be considered as normal ranges. Using the MET (Metabolic Equivalent of Tasks) score of each physical activity, proposed system automatically extracts the threshold ranges in the form of rules for each monitored vital sign for each physical activity known by the system. The system performance was evaluated using PAMAP2 dataset and showing the promising results.
PENINGKATAN HASIL BELAJAR PADA PEMBELAJARAN TEMATIK TERPADU DENGAN MODEL TEAM QUIZ DI SD

This research aims to increase student learning outcomes using the Team Quiz model in class IV SD Negeri 12 Padang Kubu. This research is included in the type of CAR research using qualitative and quantitative approaches. The subjects of this research were teachers and 16 fourth grade students. This research was conducted in two cycles. As a result of this research proves the development that occurs in cycles I and II. The planning aspect of Cycle I obtained an average of 81.94 (B) developed in Cycle II 94.44 SB). In the implementation of the teacher education aspect in the first cycle, the average score was 88.63 (SB) then increased to 97.72 (SB) in the second cycle and 85.22 increased to 95.45 in the student implementation. While student learning outcomes obtained an average of 69.09 and 80.46 in the second cycle
Analyzing the Impact of Complaints on Customer Satisfaction in the Travel Industry

Customer satisfaction is crucial for the long term success of any travel service provider.Therefore, identifying situations that can lead to customer dissatisfaction is critical.The strongest evidence of customers dissatisfaction are their complaints.While complaints do not occur very often, they almost always lead to loss of customer goodwill which can cost travel providers millions of dollars in future revenues.In this paper, we describe an approach to proactively identify customers that have the highest propensity to complain as they encounter a travel disruption event.These are invaluable insights that can empower customer service teams with information to deliver a more timely, relevant and impactful service experience.We use three key aspects in this approach: (i) specialized feature engineering for the travel industry; (ii) handling extremely imbalanced data and (iii) adaptation of binary classification, anomaly detection and learning to rank models to our specific task.This research is an important step towards more individualized understanding of customer behavior, and potential service enhancements to further increase customer satisfaction.
CONTENÇÃO DA COVID-19 E MEDIDAS NÃO FARMACOLÓGICAS ADOTADAS PELOS ESTADOS BRASILEIROS NO INÍCIO DA PANDEMIA

Objective: To conduct a survey on the initial containment plan for Covid-19 and non-pharmacological measures adopted by Brazilian states at the beginning of the pandemic.Method: Documentary study.Information search was carried out on the websites of official state agencies, State Health Departments and State Attorney General's Offices.The first decrees issued at the beginning of the pandemic/Covid-19 in Brazil were used, which were considered the "first decisions" at the level of each state.The data were analyzed through content analysis.Results: From the emergence of the first cases of Covid-19 in the country, the 27 Brazilian states instituted in the period from February to June 2020, through various decrees, immediate non-pharmacological and restrictive measures related to commercial, educational, sports activities , cultural, religious and scientific, maintaining, in general, only essential services.Conclusion: The measures adopted contributed to the installation of health care capacity at the hospital level.
Artificial intelligence and copyright

In this new era of the fourth industrial revolution that we are living in here, we are increasingly aware of the immense possibilities and potential of technological development that lie ahead and of the increasingly important role that artificial intelligence is assuming in the scientific field but also and especially in the daily life of all of us. Today, artificial intelligence affects almost all aspects of life: science, culture, art and law. Surely it has improved, from different points of view, each of these areas, but, at the same time, since this evolution is fast and unstoppable, it has highlighted the gaps that the legal system presents in these sectors. Jurisprudence is making a huge effort to keep pace with technological evolution but despite this, questions that need answers, possibly as soon as possible, often arise. Thus, in the field of artificial intelligence, an interesting combination under the legal aspect is that between works of art or intellectual property and legislation, with particular regard to copyright. In fact, creativity, both scientific and artistic, has always been considered as exclusively belonging to the human being, to man, as it was believed that only he was capable of original and autonomous intellectual creation. Almost in all of the existing legal systems, this is precisely the principle underlying the legislation concerning copyright: all creative intellectual works that belong to science, literature, music, figurative arts, architecture, theater and cinema, regardless of the way or form of expression, are protected and safeguarded. The prerequisite for recognizing copyright, also admitted by jurisprudence, is the causal link between creativity and personality, considering that the work reflects the personality of its author. The issue presents difficulties, however, when it is a machine or a robot to carry out a certain work of genius in one of the aforementioned fields. How can the legislator, whether Italian, Albanian, European or international, regulate this new legal reality linked to a work created by artificial intelligence? To whom do the authorship and the rights of economic use of the work belong in this case? Can we talk in this case of a moral right? What is the most suitable type of protection that can be given to such works and through what methods, given that all the legal rules on the subject presuppose human creative activity? Basically, in the case of the creation of a particular work by an artificial intelligence, can robots have intellectual property rights? Can they have liability towards third parties? In this article we will try to shed some light and give some answers to these questions imposed by the reality we are living in, based on the current legal framework in the field of copyright, the considerations of the doctrine and also the analysis of certain concrete cases such as that of the “Portrait of Edmond Bellamy”, a portrait made entirely by an AI and sold for $ 432,500, and that of the selfie made by a macaque monkey with the camera of photographer David Slater.
On Sentiment Summarization of Trending Topics on Twitter

Twitter is the most popular social media and microblogging application with over a hundred million followers, providing much knowledge about everyday life. Every minute, Twitter produces many instant messages (i.e., tweets) containing utilizers' feelings, behaviors, and viewpoints. Organizations are now using the data to gauge international perception or sentiment; This necessitates the utilize of automated summary strategies, which provide a good description of trending topics. These studies analyze the meaning of trending topics on Twitter, the data sets utilized to track them, and the benefits of tracking, analyzing, and summarizing trending topics. They also assess various methodology for sentiment classification, polarity identification, and sentiment summarization techniques.
Ontology-based Approach: A Smartphone Knowledge Representation

The development of technology in the modern era is currently increasing very rapidly so that it can make human work easier. One of the technologies that are often used by the community to meet the needs of life is a smartphone. The rapid development of smartphones has made people's purchasing power higher with existing criteria, ranging from brands, prices to features that potential buyers must consider in buying a smartphone. The lack of public knowledge also makes people confused about choosing a smartphone product because of the many smartphone brands on the market. Ontology can be a solution to explicitly describe information about smartphones. The construction of an ontology model is carried out using the methodology methodology. The ontology that was built has 7 classes, 12 subclasses, 9 object properties, 2 data properties, and 92 instances. The ontology built using SPARQL with several search criteria on this ontology can produce the output that the user wants and can represent knowledge from a set of concepts in the knowledge domain, in this case the smartphone and its relationship between these concepts.&#x0D;
Factors Controlling the Mineralogical and Geochemical Distribution of Phosphatic Deposits, Western Iraqi Desert

The Iraqi phosphorites distributed in western desert belong to Tethys phosphorites. They are found in Al-Rutba- H3, Al-Ga'ara, Akashat, and Al-Ethna and in the western wadi Aakash areas. The statistical factor analysis shows that the main five factors playing great roles in phosphate formation in the congenital shelf are the more active factors that control the mineralogical and geochemical distributions in phosphorites; they are (1) Phosphorus enrichment factor, which led to apatite (francolite) formation. (2) Depositional environment factor, which represents the deposition of phosphates in continental shelf of the southern part of Tethys Sea. (3) Mg withdrawing from sea water, the factor which controlled by clay mineral transportation like palygorskite and some dolomite that contributes to form apatite. (4) The slightly increased saline factor. (5) The cyclic alternative deposition factor, which represents the sequence deposition of phosphates, carbonates and cherts periodically.
Peer review declaration

The Organiser and/or the Editor(s) are required to declare details about their peer review processes. Therefore, please provide the following information: • Type of peer review: Double-blind Double-anonymous: author and reviewer identities are hidden to each other • Describe criteria used by Reviewers when accepting/declining papers. Was there the opportunity to resubmit articles after revisions? The submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by 2 reviewers. They will judge the paper based on the theme, coverage, innovation, integrity, depth, and language. One of the final acceptance suggestions including: Accept, Accept with Minor Revision, Major Revision, Reject will be given. Articles can be resubmitted after revision except receiving Reject. • Conference submission management system: https://registration.confmcee.org/ • Number of submissions received: 179 • Number of submissions sent for review: 179 • Number of submissions accepted: 64 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received × 100): 35.8% • Average number of reviews per paper: 2 • Total number of reviewers involved: 35 • Any additional info on review process (eg Plagiarism check system): Plagiarism check system: iThenticate • Contact person for queries (Full name, affiliation, institutional email address) Han Gao, henry.g@eliwise.ac
Overview on Image Captioning Techniques

Image captioning is a process to assign a meaningful title for a given image with the help of Natural Language Processing (NLP) and Computer Vision techniques. Captioning of an image first need to identify object, attribute and relationship among these in image and second is to generate relevant description for the given image. So it require both NLP and Computer vision techniques to perform image captioning task. Due to complexity of finding relationship between the attribute of the object and its feature makes it a challenging task. Also for machine it is difficult to emulate human brain however researches have shown a prominent achievement in this field and made it easy to solve such problems. The foremost aim of this survey paper is to describe several methods to achieve the same, the core involvement of this paper is to categorise different existing approaches for image captioning, further discussed their subcategories of this method and classify them, also discussed some of their strength and limitations. This survey paper gives theoretical analysis of image captioning methods and defines some earlier and newly approach for image captioning. This survey paper is basically a source of information for researchers in order to get idea of different approaches that were developed so far in the field of image captioning. Key words : Computer Vision, Deep Learning, Neural Network, NLP, Image Captioning, Multimodal Learning.
An Improved Reactive Navigation Method for Mobile Robots using Potential Fields

In this paper, we present an improved motion planning algorithm for mobile robots operating in indoor environments. Collision free robot motion planning in obstacle rich environment is crucial for the safety of the robot and for other agents or people in the vicinity. There are a plenty of motion planning algorithms that have been proposed in the past. In this particular work, we present a local planning scheme that allos the robot to overcome static and dynamic obstacles in the path with high success rate. Our proposed reactive planning algorithm uses a potential field for generating a collision-free paths for the robot. The proposed algorithm can overcome some of the challenges of a deadlock situation of traditional planning and guarantee successful navigation for robots.
Quantum Communications

This chapter explains two categories of quantum communications technologies: quantum random number generation and quantum networking (or ``quantum internet''). If the quantum networking necessary to achieve the ideal of a quantum internet were achieved, one could likely use the technology to connect disparate, small quantum devices into a larger cluster computer, or connect multiple quantum computers together to create a larger quantum computer. The chapter sets the stage for interest in quantum communications by briefly explaining the rise of signals intelligence (SIGINT) capabilities of governments and the proliferation of these powers to non-governmental actors.
Nature Scene Signs Recognition by Affine Scale-Invariant Feature Transform

In this paper, it is presented an approach to automatic detection and recognition of signs from natural scenes, and its application to a sign recognition.The natural scene signs recognition is affected by the light changing, fading, being distorted on the surface of t signs.In this paper, a method is proposed that combined the improved scale invariant feature transform (SIFT) algorithm which reduces the high dimension and high complexity with Affine Scale Invariant Feature Transformation (ASIFT) algorithm under the natural scene sign detection and recognition.Experiments have proved that the method improved match number and matching time.
Modulation format identification of optical communication system based on multi-scale inception network

We propose a new convolutional neural network based on multi-scale inception, combined with constellation image processing, to improve the accuracy of optical network modulation format identification and reduce the training cost.
Internet kiosks in Uganda

Community Technology Centres (CTCs) have emerged in low-income contexts in the Global South to reduce digital exclusion. Despite the widespread of CTCs and numerous studies on them, the evidence on their impact is inconclusive. The focus has often been on tangible aspects and anecdotal evidence on intangible impacts. This qualitative case study provides a holistic assessment of the impact of solar-powered Internet Kiosks, a CTC intervention in Uganda, on users in two urban low-income communities. The findings highlight that these centres support users to achieve their desired goals beyond the acquisition of ICT skills. Specifically, young people enrolled in school and teachers with resources to bridge some of the gaps in education and out-of-school young people with knowledge on concepts to navigate their daily tasks. Chapter 10 suggests that the Kiosks contributed to improving users’ quality of life by creating new learning opportunities, skill development, income possibilities and became social spaces where users fostered ties with their community and a broader world. However, the data shows the threat of pornography had a negative implication.
Managing Electronic Journals in Times of Change

One response to a serials cut at Bowling Green State University (BGSU) was to develop an e-journal Web page showcasing free full-text resources to support the curriculum and faculty research. The project provides links through the Web page and through a Web-based catalog to the titles selected. As a participant in OhioLINK, BGSU has access to “paid” resources including Academic Press titles. In addition, links to other comprehensive Web sites are planned. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
The machine having ordinary skill in the art

As AI continues to improve and to play a more important role in research and development, this should impact one of the primary standards used to determine whether an invention is patentable - namely, whether an invention is held to involve an inventive step. The inventive step test is based on whether a hypothetical person having ordinary skill in the art, or PHOSITA, who in turn is based on the characteristics of an average researcher in a particular field, would find an invention obvious. As machines come to increasingly augment average researchers, the PHOSITA standard should evolve to take into account the fact that machines are making people more sophisticated and knowledgeable. Eventually, when AI reaches a stage where it can engage in the widespread automation of research without a person who traditionally qualifies as an inventor, the person skilled in the art should become a machine skilled in the art, or a MHOSITA. A MHOSITA standard will make it more difficult to obtain a patent, because more will be obvious to a sufficiently intelligent machine than today’s average human researcher. With no obvious limit to the intelligence of future machines, it may one day be the case that everything is obvious and there is no longer a need for patent protection.
Identification of the Measuring Situation when Determining Thermal Properties of Solid Materials under Uncertainty

The main factors characterizing the uncertainty of the measuring situation during thermophysical measurements are considered. An approach is proposed for determining the parameters of the thermophysical properties of materials and the measurement error under uncertainty. A conceptual model of the formation of a measuring environment for an intelligent information-measuring system of thermophysical properties of materials in a situation of uncertainty has been created. The solution of the optimization problem of identification of the measuring situation when determining the thermophysical properties of solid materials of various ranges of thermal conductivity is presented. An information model has been developed to identify a measurement situation in an intelligent information and measurement system operating under conditions of uncertainty.
Scientific and methodological support of future educators by means of distance education

Improvement of the educational process at the university and, in particular, training of future teachers for professional activity is one of the priorities among social and scientific problems. The specificity of modern education is rapid development of electronic learning environment which entails a change in the ways of interaction between all participants in the educational process. It is important for a future teacher to master experience of scientific and methodological support in the educational process through electronic resources in the absence of a direct contact with students and their parents even during the period of professional training for successful professional activity. The purpose of the article is the theoretical substantiation and development of the content, forms and methods of scientific and methodological electronic support for training of a future teacher in conditions of industrial practice. To achieve this goal, the research results of domestic and foreign scientists and teachers (Atanasyan, Bolbat, Davidson, Farros., etc.) reflecting the types and possibilities of electronic support of students are analyzed and systematized. They are software and electronic educational and methodological support, electronic assessment system. The problems and difficulties that arise among students in organizing remote forms of educational activities are concretized by means of a questionnaire based on the results of various types of industrial practices. They are primarily associated with difficulties in using modern digital technologies and electronic support resources, an insufficient level of digital competence. The conclusion that the need to implement scientific and methodological support of the educational process in digital educational environment actualizes the individual experience of using IT technologies and forms of e-learning and interaction by the future teacher is made. The formation of this experience is possible in conditions of a practice-oriented educational process, including performing the program of industrial practices.
CRYPTOASSETS AND INITIAL COIN OFFERINGS

The growth in cryptoassets and the use of initial coin offerings (ICOs) has been met with a patchwork of regulatory approaches and a lack of coordinated international regulatory response. Some national regulators have banned activities relating to cryptoassets outright, whilst others have devised a discrete regulatory regime for them or sought to fit them into their existing financial regulatory frameworks. In some countries, financial regulators have to deal with conflicting interests of monetary authorities, revenue-raising bodies and politicians when trying to formulate a response to the challenges posed by cryptoassets and related fundraising activities such as ICOs. This chapter provides a high-level overview of the nature and use of cryptoassets and initial coin offerings by analysing their regulatory treatment in several key markets: the UK, the US and Asia.
MECHANISMS FOR IDENTIFYING THE PATTERNS OF THE DYNAMICS OF SCIENTIFIC AND TECHNICAL PUBLICATIONS ON THE EXAMPLE OF THE THEMATIC DIRECTION «ROBOTICS»

Scientific activity is a source of new knowledge and the creation of the latest technologies to improvethe quality of life. The results of research are presented in the form of articles published in scientificjournals or collections of scientific conferences, thereby being the main channel of communication inthe scientific environment, and also characterize the state of the scientific organization and the countryin the world scientific ranking. The article analyzes the world publication activity of countries on theexample of the direction - "Robotics" based on the data of the Web of Science system. It was revealedthat the development of technologies is subject to certain laws and it is possible to build predicativemodels for the emergence of new technologies.