Reviewerly/exHarmony huggingface dataset:
Competencias digitales en estudiantes y docentes universitarios del área de la educación física y el deporte

Just a few decades ago, the use of digital tools in the teaching of Physical Education and Sports was a matter of little interest. However, the expedited incursion of information and communication technologies (ICT) in today's society has made the acquisition of the so-called digital skills an imperative. This study was carried out with the cooperation of four professional programs in the field of Physical Education and Sports in Bogota, with the aim of determining whether there are significant differences between the perception of students and teachers about the development of their digital skills in dependence on variables such as study modality, academic approach, gender, age, and in the case of teachers, also professional experience and academic training. From the results found through the Kruskall Wallis non-parametric tests, with a significance level of .05, it was determined that both students and teachers perceive the development of their ICT skills at a medium-high level, and differences in relation to gender and age were ruled out. On the other hand, it was concluded that students who are part of distance learning programs, and from pedagogical line, have a better perception of these skills, as well as those teachers with more experience and a higher level of training.
THE EXPERIENCE OF REMOTE WORK OF TEACHERS AT A UNIVERSITY IN THE CONDITIONS OF THE PANDEMIC: TEACHING CHANGE IN MODERN HIGHER EDUCATION

Remote work at universities during the COVID-19 pandemic is fundamentally different from a cautious and slow transition from traditional teaching to online learning before the pandemic (before 2019). Therefore, it is expedient to discuss the present situation of specific studies at university as an extreme case. There was no mass distance learning and learning practice before the pandemic. Until a year ago, university teachers knew how to teach and understood how their students think and learn.Before the pandemic, only part of university lecturers employed technology in the process of teaching, i.e. only those who were online teaching/learning enthusiasts. Thus, the process during the pandemic can be described as working in extreme conditions because of the following reasons: limited resources; limited opportunities to train teachers, most of whom have never tried to work online before; a limited number of support staff; a short period of time for the transition from traditional teaching to distance teaching/learning.In this case, the aim is not to create the best possible online learning system, but to create distance access for all university faculty and students. Change has not been easy: there are both positive and negative experiences. Thus, research on emergency distance teaching should highlight certain essential factors that are important for teachers and students to achieve their goals in a virtual learning environment (VLE).The aim is to discuss forced innovation in remote teaching models and to determine the attitudes of teachers to the remote teaching in the conditions of the pandemic. The research question addressed in the study: In what way do teachers reflect on using VLE for their remote work? What is the attitude of university teachers, who have worked in a virtual learning environment in extreme conditions, to remote teaching?In this paper e-learning is analyzed as a socio-cultural system, as ‘a multi-dimensional’ concept. The analysis of e-learning as a socio-cultural system enabled the formulation of interdisciplinary problem, for the solutions of which it is necessary to invoke theories and outcomes of computer science, also culture and education.The study involved teachers of university who shared their learning experiences at least in Autumn 2019, then - in the Spring the Autumn semester of 2020 and in the Spring semester of 2021 (i.e., when they had to remote work under the conditions of forced innovation).The results: remote working during the pandemic required a great deal of effort on the part of teachers of university to acquire new teaching competencies related to employing information technologies; this situation allowed to test the possibilities of distance communication; however, many methods and techniques of distance learning remained unused, as teachers and students tried to create a regular "classroom educational environment", only realized remotely.
A Biometric Recognition Method Using Deep CNN

Abstract: Face is perhaps the first biometric trait of a person that catches one’s eye and it remains in memory for a long due to its uniqueness created by almighty. Recognizing a person using his/her face, is very natural to us and we do not need any special training for identification. But computers are programmed for analyzing things and making predictions almost in similar fashion that our brain does. Then, the recognition takes place by using some techniques and trainings. The recognition system which uses biometric properties is itself a secure and trusted technique but use of neural networks make it highly accurate and add more worth to it. A CNN model works in a fully supervised or guided environment and performs all the tasks in a robotic manner. The convolutional layer which lies in CNN model performs the complex calculation and extracts all the unique and useful features without any human involvement. I preferred to adopt Transfer learning in my work, by importing a pre-trained CNN model and I found 97.5% accuracy in recognition when I tested the model with my test samples. Keywords: Biometrics, Convolution, AlexNet, Feature Extraction, Transfer Learning
Discovering Behavior Patterns of Solitary Elderly Based on Machine Learning

Discovering routine behavior patterns of the solitary elderly can provide the elderly with better assisted living services. This paper presents a method based on time, path and area association restriction, to calculate the distance between the solitary elderly daily behavior patterns and then discover the routine behavior patterns.
Retraction: Exploring adversarial attacks against malware classifiers in the backdoor poisoning attack (IOP Conf. Ser.: Mater. Sci. Eng. 1022 012037)

This article has been retracted by IOP Publishing in light of clear evidence that substantial material in the article, including text and figures, was taken without reference or permission from [1]. As a member of the Committee for Publication Ethics (COPE), IOP Publishing has investigated in accordance with COPE guidelines and it was agreed the article should be retracted. [1] Severi G, Meyer J, Coull S and Oprea A, 2020, https://arxiv.org/abs/2003.01031v1 . Retraction published: 03 March 2021
Representación de tesauros en SKOS

Thesauri have progressively adapted to digital environments, demonstrating their capacity for integration with Semantic Web technologies. However, the convergence of thesauri and Semantic Web is not as straightforward as it might seem. This paper analyses and contrasts the constructs and integrity rules of ISO 25964 and SKOS (Simple Knowledge Organization System). The SKOS representations of the thesauri AGROVOC, EuroVoc and Unesco are also examined in order to study the solutions implemented. Finally, the perceived challenges are addressed, in particular the integration of thesauri with Linked Data and the development of ontologies.
Young People's Reading and Information Use at the End of the Century

This paper presents a pilot research project carried out in five schools in a specific district in a province of South Africa, the survey methodology followed, as well as some of the key findings. This survey is based on a similar survey of young people's reading and information use carried out in the United Kingdom in 1995 and 1996. It provides information on young people's reading which is useful for publishers, librarians, writers, illustrators, teachers, and parents.
Can Blockchain Take Smartphones Out of Contact Tracing?

The global public health crisis caused by the emergence and spread of the coronavirus disease (COVID-19) has been devastating, prompting the need for immediate countermeasures to curb its spread, especially in the absence of any approved treatment shortly after its onset.This crisis has highlighted the gap in current contact tracing systems, which require massive public participation to be effective but lack a high degree of public acceptance.This low acceptance is mainly due to concerns regarding personal data privacy and guaranteed data protection, hindering the success of existing systems.We evaluate the use of blockchain to improve contact tracing and provide a solution to effectively track the spread of an epidemic, using COVID-19 as a relevant use case.The key requirements of the proposed system include protecting user data, maintaining full transparency using a decentralised system, and eliminating the need for global positioning system or personal data for contact tracing.A proof-of-concept system uses a private blockchain to secure and manage data collected at various locations using a mobile application or stored-value contactless smart cards.Contact tracing is performed via smart contracts over the blockchain using the collected data.We confirm the improvements provided by the proposed system for contact tracing.
Training of Future Specialists in Programme Subject Area 029 "Information, Library and Archival Studies": Main Trends of the Formation of Educational Literature Fund

It is the first articulation of the problem of forming a fund of educational literature as a theoretical and methodological basis for a successful educational process for students majoring in 029 “Information, Library, and Archival Studies” based on the example of Kyiv National University of Culture and Arts (hereinafter KNUCA). By applying general scientific (analysis, synthesis, generalization) and special research methods (bibliographic, statistical, visual analysis), analysis and systematization of the entire literature presented in the teaching materials of the teaching staff of KNUCA on educational programmes in the programme subject area 029 “Information, Library and Archival Studies” the main trends in the formation of the fund of educational literature KNUCA for students of 029 “Information, Library and Archival Studies” have been identified, including compliance of educational literature for higher education to the current legal field, impact of the reform of domestic higher education in accordance with the principles of the Bologna process on structure and content of educational literature; reflection of the process of reforming library education in educational literature – the intensity of educational literature preparation is correlated with the implementation of a new programme subject area 029 “Information, Library and Archival Studies”; active usage along with educational publications in the educational process scientific monographs, scientific articles, reference books (though, these types of publications have not been classified as educational publications officially, they start to perform educational function); availability of publications which names are identical to the names of academic disciplines, which is due to the need for educational and methodological support of new academic disciplines; preparation of educational literature by author’s teams formed, in particular, by teachers of various educational institutions; cooperation with various publishers, which provides the required number of publications for the educational process and their availability to the general public. Five functional levels of complex educational and methodical support of the educational process and formation of the fund of educational literature are substantiated: the level of the institution of higher education; the level of the scientific library of the institution of higher education; department level; level of authors; level of publishers / producers of educational literature.
Media for children: terminological frameworks and research paradigms.

The article clarifies the terminological status of the concept of "media" in the context of expanding the boundaries of social practice of its application and technological modernization of the processes of production and dissemination of mass information for children. In the work there is given the operational definition of children's media in the context of the technological paradigm, and the four components of their structures are defined: mass media addressed to children in their physical embodiment; technological channels of mass media distribution for children's audience; web platforms for broadcasting children's media content on the Internet and technical devices for reproducing information. The scientific novelty of the article lies in the consideration of media for children as a set of officially registered media that are intended for a children's audience and distribute relevant content through various technological channels and digital resources. The author proposes a theoretical understanding of the research object in a complex of three theoretical paradigms: technological, empirical-functionalist and anthropological.
Preface

Due to the COVID-19 pandemic, International Conference on Artificial Intelligence and Big Data Applications (ICAIBD2021) that were planned to be held in Huanggang, China were successfully held via an online platform during September 24, 2021. The events brought together researchers and scientists from big data and artificial intelligence, researchers from various application areas to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research. The conference was composed of 2 sessions with 4 keynote speeches and 40 oral reports presented in this conference. Each keynote speech and oral report will take 30-40 minutes and 5-10 minutes, respectively. All papers included in the conference proceedings were peer reviewed according to IOP Publishing standards. We would like to deeply acknowledge all the parties involved in making this conference successfully held: the conference session chairs, organizing committee, authors, reviewers and IOP Publishing. Besides, we wish to thank all authors and participants for providing their valuable contributions for this proceeding as well as the reviewers for their constructive recommendations and criticism aiding to improve the presented articles. General Chair Yuntao Wu Wuhan Institute of Technology ytwu@sina.com Zhihua Hu Huanggang Normal University huzhihua@hgnu.edu.cn List of Academy Committee are available in this pdf.
Online Based Memorandum of Understanding (MOU) Data Exchange System Design with EDI Method

During the Covid 19 pandemic, every individual is required to be more creative in carrying out every activity and not make a distance as the reason an activity cannot be carried out. Documentation data, which is usually sent manually by post, will experience difficulties at this time. This research will discuss other ways that can be done to ensure the data exchange process of the Memorandum of Understanding (MOU) between PT. Bank XYZ with partners. The solution that can be implemented is to use the Electronic Data Interchange (EDI) method. EDI is an online-based data exchange method. In other words, the method of exchanging data via postal service is not necessary. Based on this research, the EDI method can meet users' needs in terms of exchanging or sending documentary data on the MOU between PT. Bank XYZ with partners. The method used in building this system design is analyzing the running system and designing the system with UML tools. The final result of the validation test of the system design through the FGD method states that the e-approval system application design of the MOU is by the specifications of the functional requirements required by the user.
Characterization of nonhomogeneous dual wavelet frames in Sobolev spaces

In recent years, wavelets and wavelet frames have been extensively investigated by many researchers due to their great design freedom and the potential applications in many fields.In this work, we address nonhomogeneous wavelet frames in Sobolev spaces setting, a characterization of nonhomogeneous dual wavelet frames inwhich generalizes the results of Proposition 2.3 in [Appl Comput Harmon Anal 36 (2014):51-62].
Conclusion

The aggravation of corruption and underdevelopment of Nigeria resonates in practical terms on the African continent and can be seen in the high levels of poverty, prohibitively high unemployment rates, gargantuan illiteracy, massive youth restiveness, terribly intractable terrorism, persistent and desperate outmigration, and recurrent violent crimes, not only in Nigeria but on the continent. If such movements are not to be repeated in Nigeria, with their gains and losses as shown by this book, corruption must be brought to its barest minimum if not completely eradicated in Nigeria. All scholars, policy makers, students, governments, development partners, citizens of Nigeria and other concerned entities must show more interest in understanding and stopping corruption and invest more in research on how corruption has kept and continues to keep Nigeria, the giant of Africa, fast asleep in an underdeveloped state.
FAKTOR PENGHAMBAT MEMBACA PERMULAAN PADA SISWA KELAS II SDN 32 CAKRANEGARA TAHUN AJARAN 2020/2021

This study aims to determine the inhibiting factors for early reading in grade II students of SDN 32 Cakranegara and alternative solutions that can be used so that they do not experience obstacles in beginning reading. Internal factors include intelligence, interests, talents, and motivation, while external factors include family environment, school environment, and community environment. This type of research uses a descriptive qualitative approach. Data collection techniques were carried out through interviews, observation, and documentation. The data analysis technique used is data reduction, data presentation, conclusion or verification. . Test the validity of the data using triangulation of sources, and the availability of references. The subjects of this study were second grade students. The results of this study indicate that the inhibiting factor for early reading of students in grade II is the lack of interest, talent, motivation from within the students themselves to learn to read, this is also supported by family and school environmental factors. First, the lack of support and motivation from parents and families towards students in the absence of special attention given to students in teaching students to read at home, secondly, the absence of teacher creativity in teaching students to read and the absence of facilities from schools that support the learning process. There are also strategic efforts used by the teacher in overcoming the obstacles to students' early reading, namely dividing students / focusing on teaching students who cannot read, providing special books for early reading, playing games / games, reminding parents to often teach children to read at home, no matter how busy they are, and train students on a daily basis.&#x0D; Keywords: analysis, inhibiting factors, early reading, SDN 32 Cakranegara.
Additional acute effects of virtual reality head-mounted displays on balance outcomes in non-disabled individuals: a proof-of-concept study

Aim: This study aims to evaluate the additional acute effect of virtual reality (VR) head-mounted displays (HMD) when associated with balance exercises in balance outcomes in non-disabled individuals.Methods: Thirty individuals were randomized into two groups: balance exercise group (GBE; n = 15); and virtual reality + balance exercise group (GVR + BE; n = 15).The individuals were evaluated by static and dynamic balance using the tandem test (TT), single-leg stance (SLS), and Fukuda stepping test (FST).Both groups performed 30 min of balance exercises.The GVR + BE performed 8 additional minutes of virtual reality prior to balance exercises.A roller coaster application was used for the HMD.The Mann-Whitney test was used for intra-group and differences of inter-group analysis, considering a significance level of p < 0.05.Results: In the GBE group analysis, there was observed an increase of time in TT with closed eyes (p = 0.025) and SLS with closed eyes (p = 0.003).In the same way, the GVR + BE group increase TT with closed eyes (p = 0.003) and SLS with closed eyes (p = 0.002) after the intervention.In the intergroup analysis, the increase in the SLS with closed eyes was superior in the GVR + BE group when compared with GBE (p = 0.006; d = 1.67).Conclusion: The use of HMD in combination with balance exercise has an acute effect on increasing static balance in non-disabled individuals.
Quantum Pulse Coding for Rabi And Ramsey Evolution on IBM Armonk

Quantum computing is one of the most important research areas for developing futuristic technologies. IBM has been at the forefront by developing superconducting quantum devices and providing cloud-based services. Initially limited to gate level access, IBM now provides cloud servers to access pulse level control of quantum devices for their algorithms. In this paper, we compare the performance of gate level and pulse level quantum encoding, control and measurement on the single qubit IBM Armonk quantum computer. Specifically, for the simulation of Rabi and Ramsey evolution dynamics-key components of many quantum metrology and clock synchronization algorithms, we show that the ability to re-calibrate pulse frequency and amplitude in realtime for pulse access allows significant improvement in the simulation of these two dynamics when compared with the gate level access.
A RSA-Biometric Based User Authentication Scheme For Smart-Homes Using Smartphone

Internet of Things (IoT) is considered as one of the emerging leading technologies that allow the mainstreaming of smart homes and smart cities in the recent years, by creating a communication system for physical objects over the Internet. In a smart home (also called push-button home automation system), devices are not necessarily homogeneous in terms of topology, security protocols, computational power and communication. This nature of the devices causes some incompatibility with conventional authentication methods and the security requirements of IoT standards. This thesis proposes an RSA-Biometric based three-factor User Authentication Scheme for Smart-Homes using Smartphone (called RSA-B-ASH-S scheme). An informal security analysis of the proposed RSA-B-ASH-S scheme is provided, along with its performance evaluation in terms of computational time, storage requirements and communication overload. Furthermore, a formal analysis of the proposed RSA-B-ASH-S scheme using the Burrows-Abadi-Needham (BAN) Logic is described, showing that the proposed scheme achieves the forward secrecy property by utilizing a fresh encryption key for each session and it also satisfies the anonymity of the user by using a one-time token. A proof of concept of the proposed RSA-B-ASH-S scheme is also provided.