Reviewerly/exHarmony huggingface dataset:
REGULATION OF ROBO-ADVISORY SERVICES

The wealth management industry has changed drastically in the decade since the Global Financial Crisis. Beginning with the launch of Betterment and Wealthfront in 2008, robo-advisors now manage over USD 200 billion in client assets and are expected to manage USD 16 trillion in client assets by 2025. These firms provide automated, algorithm-driven, financial planning services based on investors’ data and risk preferences. Robo-advisors have capitalised on the rush to passive investing by utilising index funds, and by reducing, or eliminating, human involvement in the portfolio selection process, all of which allows them to offer their services at a lower cost than traditional investment managers. The rise of robo-advisors has challenged the traditional definition of what it means to be an investment adviser and led to questions around whether robo-advisors can act as a fiduciary. This chapter begins by assessing the benefits and risks of robo-advisors before moving on to assess the legal and regulatory treatment of robo-advisors in the US and Europe. While current investment adviser legal liability frameworks appear flexible enough to incorporate robo-advisors, rapid advances in artificial intelligence and machine learning may soon necessitate a rethink of liability regimes applicable to robo-advisors.
Trust Recipes for Enhancing the Intention to Adopt Conversational Agents for Disease Diagnosis: An fsQCA Approach

In this study, we examine the configurations of trust-enhancing factors that determine the intention to adopt conversational agents (CAs) for disease diagnosis.After identifying trust factors influencing the behavioral intent to adopt CAs based on the information systems acceptance research field, we assigned 201 participants to use the mobile Ada application and surveyed them about their experience.Ada is a medical diagnostic CA that combines patients' symptoms with their medical history and provides diagnostic suggestions.The collected data was analyzed using a fuzzy set qualitative comparative analysis to capture the causal complexity of trust.We identified several configurations of trust-enhancing factors affecting the intention to adopt the CA.In particular, our results show that the adoption intentions are strongly determined by trust factors associated with the performance dimension.Furthermore, we derived two propositions for the development of CAs for healthcare purposes and elaborated implications for research and practice.
Quality Management in Libraries Case Study: Book Collection Retrieval in Academic Libraries

Quality management in the library is related to quality control of the library's work to meet user expectations and contributes to the continued success of the organization. However, quality control is lacking and not be the main focus in many libraries. This paper aims to explain how quality management improves work results in libraries. The research method used in this paper is qualitative research using a case study method. We conduct research in Library X that already underwent quality control in book processing activities. The data were collected through observation, and interviews for book processing activities and its quality control data during 2018-2020. The data was then analyzed document analysis. The study found that Library X could perform better by improving the quality of book processing and fixing the error just before they put the book on its shelves. Quality control gives a comprehensive evaluation in Library X either for humans, processes, and systems of book processing activities that help Library X conduct its duty to provide their user needs and expectations. Quality control and quality management also help Library X describe the library working atmosphere and can be used for giving motivation to all librarians and staff to give better service and performance for the end-users.
Increasing the motivation of future professionals in the culture and arts industry to use information technologies in professions activity

The article reveals the concepts of "motivation" and "motive", analyzes the experience of domestic and foreign experts in the formation of the concepts of "learning motivation" and "professional motivation". It is proposed to introduce methods of stimulating and motivating educational and cognitive activities: the formation of cognitive interest, methods of stimulating duty and responsibility in learning. In the course of the research a system of motivation of future professionals in the culture and arts industry was developed, which was used in teaching computer science disciplines. &#x0D; The motivation of future professionals in the culture and arts industry to use information technology in professional activities was determined by the results of a pedagogical experiment on a developed scale: internal motivation, external positive motivation, external negative motivation. The participants of the experiment noted the greater influence of external positive motivation and its transformation into internal motivation.&#x0D; Based on the results of the questionnaire, the necessary conditions for successful mastering of information technologies were outlined: internal stable motivation for the expediency of using ICT in education; availability of modern technical means; availability of software and teaching materials; a set of knowledge, skills and abilities to use information technology in future professional activities.&#x0D; The results obtained during the formative stage of the pedagogical experiment give grounds to state the possibility of increasing the motivational complex of professional activity of future professionals in the culture and arts industry to use ict in case of creating favorable pedagogical conditions. in general, the satisfaction of the future professionals in the culture and arts industry professional activity is the higher, the more optimal his motivational complex - high weight of internal and external positive motivation and low weight of external negative motivation.&#x0D; By processing statistical data, the SPSS program revealed differences in the indicators of internal and external motivation of future specialists professionals in the culture and arts industry of the experimental group, which confirmed that external positive motives are more effective and desirable than external negative.
Students' awareness and perceptions regarding copyright infringement

Purpose: The main purpose of this study was to investigate the extent to which students of the Dhaka University are aware of the existing copyright law and its infringement. Methodology: Students from different departments of the Dhaka University were the sample population for this study. An online survey was used for collecting data and a questionnaire was designed using Google Forms including both open and close ended questions which was distributed to the students using different social media platforms. The collected data were analyzed using SPSS software and Microsoft Excel. Chi-square and Mann-Whitney U tests were performed to analyze students’ awareness regarding copyright issues.Findings: A total of 260 students participated in the survey. The study showed that 82.6% students are aware of copyright and 80.2% are aware of copyright infringement. 61.2% students violated copyright once or more by plagiarism, photocopy and other means particularly because of the high price and unavailability of the original materials. Most of the students opined that developing citing and referencing practice among students and introducing copyright in university curricula can help in reducing copyright infringement.Research limitations: The study was limited to only one public university of Bangladesh because of time limitation and COVID-19 outbreak.Practical implications: The present study can create greater awareness and respect for copyright law in the university as well as in the whole country.Originality/value: This research is one of the first attempts to study Dhaka University students’ awareness and perceptions regarding copyright infringement and can act as the building block for future research on this topic.
Role of Data Hiding Techniques for Detection of Virtual Disks in Cloud Environment

In today's era, cloud computing is very popular and the most widly used technique to store the data. As we know more than 75% of the data that is used in internet services and applications is being stored on the maximum cloud only. Where our data is stored in the cloud, it is called data center, there are two important roles in cloud computing technology, one is cloud customer and the other is cloud service provider. The complete control and monitoring at the public data center is of the service provider itself, the user is kept away from the information of the location of the data center and its access credentials. This means that the user has absolutely no information about the virtual machine hard disk, and their access locations. Whenever any forensic inquiry comes in the cloud environment, the Investigator and forensic expert first have to find out about the virtual machine disk and its location in the cloud, which is a very challenging and difficult task in the cloud environment. In this paper we have developed a new process that detects virtual machines using data hiding techniques. To prove this new algorithm, we have performed an experiment using Oracle VirtualBox 6.0 on OpenSUSE virtual machine.
Spherical Image Compression Using Spherical Wavelet Transform

The Spherical Measure Based Spherical Image Representation (SMSIR) has nearly uniformly distributed pixels in the spherical domain with effective index schemes. Based on SMSIR, the spherical wavelet transform can be efficiently designed, which can capture the spherical geometry feature in a compact manner and provides a powerful tool for spherical image compression. In this paper, we propose an efficient compression scheme for SMSIR images named Spherical Set Partitioning in Hierarchical Trees (S-SPIHT) using the spherical wavelet transform, which exploits the inherent similarities across the subbands in the spherical wavelet decomposition of a SMSIR image. The proposed S-SPIHT can progressively transform spherical wavelet coefficients into bit-stream, and generate an embedded compressed bit-stream that can be efficiently decoded at several spherical image quality levels. The most crucial part of our proposed S-SPIHT is the redesign of scanning the wavelet coefficients corresponding to different index schemes. We design three scanning methods, namely ordered root tree index scanning (ORTIS), dyadic index progressive scanning(DIPS) and dyadic index cross scanning(DICS)to efficiently reorganize the wavelet coefficients. These methods can effectively exploit the self-similarity between sub-bands and the fact that the high-frequency sub-bands mostly contain insignificant coefficients. Experimental results on widely-used datasets demonstrate that our proposed S-SPIHT outperforms the straightforward SPIHT for SMSIR images in terms of PSNR, S-PSNR and SSIM.
Teacher’s Computer Tools

The problems concerning e learning and distance learning are discussed. State regulations and assessments of teachers about preparedness our educational system to use new digital technologies are sited. It is suggested to start discussion about uniﬁcation notions and terms attributed to educational digital technologies.
A Novel Method for Recognizing Sketched Objects by Learning Their Geometrical Features

Free-hand sketching is commonly used for communications by humans as a simple, yet powerful, tool.Sketch recognition aims to classify hand-drawn sketches by machines into known categories.This is currently important, particularly because of recent advances in human computer interactions via portable devices.In this paper, we present and explain a novel method for recognizing sketched object by learning a specific set of geometrical features, and creating a classification for these objects.Our proposed method is divided into three steps: extracting the geometrical features from a sketched shape; learning the geometrical features; then finally recognizing the sketched object by building a knowledgebase containing the recognized objects with their geometrical features.
Satisfiability in Boolean Logic (SAT problem) is polynomial?

We find a polynomial algorithm to solve SAT problem in Boolean Logic
Light Field Alpha Matting Based on Propagation by Spatio-angular Consistency

Light field alpha matting is achieved by propagating the closed form solution of the central view image matting of the light field to other views, which is based on propagation model by intrinsic spatio-angular consistency.
Architectural Patterns

In order to produce an architectural approach for your CSS, it’s important to clearly establish your goals and then settle on a general methodology. In this chapter we propose goals, guidelines, and methodologies for your consideration.
Information Competence of a Teacher of Higher Education as an Important Component of Modern Educational Process

Today, there are qualitative changes in Russian education, primarily due to a large-scale process of reforming and informatization of society. Introduction and use of information and communication technologies greatly simplify any processes and create conditions for improving the quality of life in general. Modern information and communication technologies acquire features of an important resource of technological development in educational process of Russian higher education. Socio-pedagogical significance of the topic under study is determined by the solution of an important state task —training of competent specialists, in particular, presence of a key vector in the development of information competence of a higher school teacher, and insufficient solution to the problem of a teacher’s information competence development in modern conditions. The purpose of the work is to develop a program of professional development for teachers to increase their level of information competence. The phenomenon of information competence of a technical higher education teacher acquires extraordinary relevance for pedagogical theory and practice, which is due to modern educational trends related to the need to implement tasks of preparing a modern teacher in terms of informatization of education. The teacher should be capable of carrying out professional pedagogical activity productively. The authors developed a model for information competence development of a higher educational institution teacher, as well as a program based on it. The authors have carried out the experiment proving the increase in the level of information competence of teachers after the program introduction. This advanced training program may be used in future for all high school teachers.
Epidemiological overview of hospitalization for multiple sclerosis in Brazil from 2015 to 2019

Introduction: Multiple Sclerosis (MS) is a chronic, autoimmune and progressive pathology, is it the primary demyelinating disease of the nervous system and the most frequent in the world. Therefore, becomes relevant set the epidemiological profile of MS in Brazil aiming to understand hospitalization dynamics and evolution of disease. Objective and Methods: To analyze epidemiological profile hospitalization for MS in Brazil, from 2015 to 2019. An epidemiological, retrospective, descriptive study was realized through the Hospital Information System (SIH/SUS/ DATASUS), from 2015 to 2019. Categories used: sex, color/race and age group. It is not required appreciation by the Research Ethics Committee for using publics information, without identifying the participants. Results: In Brazil, from 2015 to 2019, 18.536 hospitalizations happened for MS, having growth from 2015 (n=2.083) to 2018 (n=4.755), with a decrease in 2019 (n=4.021). Southeast had higher percentual (66,98%, n=12.416), South (13,95%, n=2.585), Midwest (10,65%, n=1.965), Northeast (6,42%, n=1.190) and North (2%, n=370). The most of hospitalization it is in the age of 20 to 49 years (75%, n=13.892), with prevalence in females (69,8%, n=12.941), over males (30,2%, n=5.595) and proportion 2,31W:1M. White color is majority (53,7%, n=9.951), grayish-brown (24,8%, n=4.597) and indigenous people (0.005%, n=1). Conclusion: It was realized prevalence of hospitalization in women, of color white, age between 20-49 years, from Southeast. It urgent the importance of investigation, forward diagnostic and treatment of that pathology in country, to try decrease to the maximum injury affected population.
The effect of the grit of dancers on the watching immersion and watching satisfaction of online dance performances

This study is to investigate the effect of grit of dancers on watching immersion and watching satisfaction of online dance performances. According to the research topic, a survey was conducted on the dancers who watched online dance performances through paper, e-mail, and SNS. A total of 210 copies of the questionnaire were distributed, and the study was conducted based on the responses of the final 204 copies. The data were frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and regression analysis using spss 25 v., and the conclusions are as follows. First, both interest and effort, which are sub-factors of the dancers
Validitas Media Berbasis Android pada Materi Struktur dan Fungsi Asam Amino dan Protein

The COVID-19 pandemic has forced major changes in the world of education. The application of social distancing to learning from home makes educators must be more creative in learning. The use of appropriate media in learning is very important to overcome these problems. One of the media used is android-based learning media. This research is continuation research of android application design in the subject of structure and function of amino acids and proteins. This research is limited to media validation. The instrument validation test stated that the instrument was valid with rcount greater than rtable at the number of N = 34 and a significance value of 5%. The reliability test of the validation instrument shows the rcount value of 0.880 and is greater than rtable 0.339 at the number of N = 34 and a significance value of 5%. The score of the questionnaire instrument was 3,196 obtained by averaging the scores from each category. It is in the range of 2.9-3.4 with a high category so that it can be interpreted that the application can be used as a learning media of the structure and function of the molecule.
A linguagem R na análise de dados: Um estudo de caso dos transportes públicos do RJ durante a pandemia da Covid-19

The Regional School of Information Systems of the state of Rio de Janeiro (ERSI-RJ) is an event that brings together professionals, teachers, and students interested in learning and discussing problems, solutions, and concepts related to information systems. ERSI-RJ mini-courses are short-term activities (four hours long) that are part of the ERSI-RJ program. They address issues related to information systems with the aim of providing the public an environment of learning and discussion of issues such as trends and challenges in the information systems area. In 2020, the ERSI-RJ was canceled because of the SAR-COV-2 pandemic. From all of the submissions for this year (2021), six mini-courses were chosen. Besides, two other submitted proposals were selected to be added as chapters of this book. A group of professionals and professors reviewed the mini-course proposals and selected the best ones. The committee members weighed in on the proposals and chose the finest ones. The selection criteria were: relevance to the event, audience expectation, timeliness and content. This book covers: the concepts and ways of detecting fake news in digital news media; an organizational modeling language that addresses the topic of competency-based human resource strategy and alignment; the use of simple language to support transparency and the development of best practices for digital transformation; the practice of data management in the field of data journalism; the introduction to game projects with educational purposes, which includes a canvas for Endogenous Educational Game Design; the concepts, definitions, applications, and research on Ethics in the information systems area; the main protocols of the Internet of Things' application layer, with a practical emphasis on the CoAP and MQTT protocols; and an example of treatment, correlation, and reducement of trends and seasonality of data by using R to analyze data about COVID-19 and public transport in Rio de Janeiro city. We believe this material will be useful for information systems classes and for supporting discussions, research, and professional practice. We congratulate and thank the authors of the chapters. We also thank the Selection Committee for their dedication and efficiency; the Editorial Committee for their effort; and the CESI (Special Committee on Information Systems) of SBC for this publication's support. Finally, the book's cover was designed by Matheus Nunes Ritton, a graduate student in information systems at the Universidade Federal Rural do Rio de Janeiro. This is his second time working on the ERSI-RJ minicourse book covers.
FUNGSI PENGAWASAN TERHADAP PEREDARAN KOSMETIK BERBAHAN TERLARANG PADA BALAI PENGAWAS OBAT DAN MAKANAN KOTA KENDARI (Studi Kasus Pasar Sentral Kota Kendari)

This study aims to determine and describe the function of controlling the circulation of prohibited cosmetics at the Food and Drug Supervisory Agency (BPOM) Kendari City (Central Market Case Study of Kendan City). conclusions/verification. The results showed that Drugs and Food (BPOM) Kendani City in terms of carrying out activities carried out according to previously established standards have been carried out properly, namely carrying out intensification or inspections to places where there are indications that there are prohibited cosmetics containing ingredients. And the aspect of carrying out monitoring is not optimal because some people who are still unfamiliar with gadgets or applications cannot use BPOM Mobile, this application can be used before buying cosmetics so that they are not only tempted by instant results but also pay attention to whether the cosmetics are safe or not. Has been carried out properly, supervision through print media and social media to educate the public about choosing cosmetic products that are safe and free of prohibited substances. In terms of taking corrective actions if they get deviations from obstacles, they are not optimal, because there are still some people who are less cooperative if they know of cosmetics containing prohibited substances.
Non-English Major Students ‘Motivation in English Classrooms: Evidence from a University Setting

In learning and teaching English as a foreign language, motivation is crucial to success. The purpose of this study is to discover whether non-English-majored students are motivated in learning English and to find out what factors can help motivate them to learn English. The study mainly employed a questionnaire which is developed and administered base on Khau and Thach (2021)’s framework to collect the data. It was delivered to 54 non-English-majored students who are at their third year of study at a public university in Ho Chi Minh City, Vietnam. The results highlighted various researches that have been conducted on the elements that influence motivation. The data showed that the participants’ motivation level is at medium rank. It could be inferred that these participants were motivated to learn English at university. The current study also found that students’ motivation was mainly affected by four factors which are teacher’s personality, teacher’s methodology, facilities for studying and classmates. The results of the study contribute to the field of motivation research in EFL setting.