Reviewerly/exHarmony huggingface dataset:
Remote Learning During The COVID-19 Pandemic: A Preliminary Study of Digital Literacy Competencies Amongst Students in Higher Education

Higher education institutions use a blended learning approach that combines face-to-face and online learning to improve students' learning. There was a rapid shift to remote learning due to the suspension of face-to-face learning activities due to the spread of COVID-19 in Malaysia. As a result, students must be digitally literate to improve their remote learning sessions. On the other hand, some students are less aware of the importance of digital literacy. Thus, a preliminary study was conducted to determine undergraduate students' digital literacy competencies. A survey was completed by 66 students enrolled in two academic courses. An online questionnaire was distributed during the 2020/2021 academic session. According to the findings, the majority of students live in rural areas and participate in remote learning sessions using mobile hotspot connections in addition to fibre broadband. The students demonstrated adequate digital literacy competencies throughout the remote learning sessions based on preliminary findings. Students are encouraged to upskill to improve their knowledge of the most recent digital technologies, allowing them to use the most recent digital technologies in their learning and future workplace.
A Comparative Study on the Activation of Persulfate by Mackinawite@Biochar and Pyrite@Biochar for Sulfamethazine Degradation: The Role of Different Natural Iron-Sulfur Minerals Doping

In this work, two novel heterogeneous catalysts were prepared by loading natural mackinawite (FeS) and pyrite (FeS2) particles into peanut shell-derived biochar (i.e., FeS@BC and FeS2@BC), and the persulfate (PS) activation processes by these two composites for sulfamethazine (SMT) degradation were systematically examined. After doping natural iron-sulfur ores, the catalytic removal performance of the above two composites were 37.2%–80.0% and 31.0%–35.2% higher than those of their respective original minerals and primitive biochar. Simultaneously, FeS@BC had better catalytic performance than FeS2@BC. The larger specific surface areas, abundant micropores, higher defect degree, and FeS crystals favored the release of more iron, resulting in higher reaction stoichiometric efficiency (RSE) value, excellent catalytic activity, and enhanced SMT mineralization. In the FeS@BC/PS system, surface ketonic groups (C=O), Fe(II), and highly active S-thiophene groups all accounted for PS activation. In the FeS2@BC/PS system, C=O groups, Fe(II), highly reductive S2−/Sn2– species, and graphene structure participated in the catalytic reaction. The electron-rich S-thiophenic groups, S2−/Sn2– species, and ketonic moieties could act as electron donors, prompting the regeneration of Fe(II) in the lattice (≡Fe(II)) and solution (Fe2+) by direct or indirect electron transfer. In view of the higher catalytic activity of FeS@BC, we further investigated different influencing factors on SMT degradation, activation mechanism, and degradation pathway of SMT in the FeS@BC/system. Overall, this study would fill the gap in the research on the difference in the catalytic activity of catalysts prepared by loading different natural iron-sulfur minerals onto biochar for persulfate activation.
Application of Cloud Computing in Applied Undergraduate Education and Management

With the rapid development of information technology, the emergence of cloud computing promotes the rapid development of various industries, especially in the field of education. It changes the form of education. Starting from the needs of application-oriented undergraduate talent training, starting from the characteristics of cloud computing and three common service types, this paper analyzes the architecture of cloud platform in education industry. Combined with the characteristics of application-oriented talent training, this paper focuses on the application of cloud computing to education resources, teaching management, experimental training and assessment in application-oriented undergraduate education, This paper summarizes the positive impact of cloud computing on the innovation of teaching environment, the promotion of teaching equity and the unity of teaching management in applied undergraduate education, which provides a useful reference for the deep application of cloud computing in the field of education.
Adapting Remote Learning Practices for Early Childhood and Elementary School Classrooms in India

The present crisis of the world compelled to teachers, educators, administrators, academia and all the stake holders of education to think deeply about alternative strategies of teaching-learning during Post Kovid Pandemic. Though education is the panacea for all evils in society, it is no doubt that since April 2020, the teaching learning process of India is jeopardized. Some advanced schools established in urban areas are adopting digital learning. The major learners are deprived of from this opportunities. According to ASER2018 report, enrolment of rural India elementary learners (5-14 age group) is 95%. They mostly depend on Government schools which are not well equipped with advanced technology. Maintaining school education for such a huge number of learners is a challenging task. This circumstance enforced to paradigm shift of education from traditional learning to use mass media, electronic device, mobile technology, online learning, blended learning or hybrid learning. Adequate resources, proper training, contextual understanding and fulfil the shortage of teachers are required to make it more meaningful. Teachers, parents, learners, educators, administrators and academicians should prepare to face the new challenges and Government should provide necessary help to combat this challenge.
Hey Google/Siri/Alexa, of All the Products and Services in the Metaverse Whose Do You Prefer?

The Metaverse, voice assistants, smart automated vehicles, wearables, there are a number of visions of the future, but more important than which, if any, of these comes to pass, is what these different visions of the future have in common. Which is the understanding that controlling what is, in-effect, the next-generation operating system, will deliver an incredibly powerful gatekeeper role that will allow the extraction of huge rents. There is particular scope for harm to potential competition from self-preferencing by these gatekeepers. This short paper sets out the exclusionary concerns and distinguishes those from exploitative concerns that I argue may nevertheless distort and restrict competition by creating a hold-up problem. I explore how these concerns might apply in the Metaverse and other emerging technologies, and argue that applying the type of self-preferencing and interoperability rules that are currently under consideration to these emerging markets will protect potential competition, provide helpful certainty for investors, and help to build an innovative but more decentralized next generation of technologies.
A Comprehensive Study of “etcd”—An Open-Source Distributed Key-Value Store with Relevant Distributed Databases

Distributed systems overcome various limitations of a centralized system and offer several advantages like high performance, increased availability, and extensibility at a low cost. Their rise is unprecedented, and it is only going to increase hereon. But for a distributed system to be effective, it needs a consistent data store, which would store all its necessary metadata and also serve as a single source of truth for the entire system. These data changes need to be stored and to be communicated quickly in a consistent manner across all the nodes in the cluster. It should have fault tolerant capability and should be able to handle failures without any manual intervention. One such open-source data store is etcd. In this paper, we presented a comprehensive analysis of etcd along with its internal working and characteristics. Comparative analysis of etcd with other relevant data stores is also presented in the paper. The paper also sheds light on the application domains and research areas related to etcd.
Fingerprinting of Image Files Based on Metadata and Statistical Analysis

Fingerprinting of digital images is the process of finding evidence from the tampered images by the use of image’s metadata and machine learning algorithm. In the recent decades, digital images growing tremendously in the people’s life, and digital images have been used in many application areas. Hereafter, digital image integrity should not be taken for granted because now a days popular powerful software used for image editing are available in the Internet at low cost. Because of the technological evolution and the availability of powerful image editing software, digital crimes also increase tremendously. To identify the legitimacy of the image files, we propose a new methodology for the digital image forgery detection by combining the analysis of metadata’s exchangeable image file format (Exif) information, statistical features and also with the help of error level analysis method (ELA) that can help the forensic investigators to authenticate the digital image files by distinguishing the difference between the real image and the fake image.
TrulyProtect—Virtualization-Based Protection Against Reverse Engineering

This paper summarizes the ten-year development of virtualization-based copy protection by the TrulyProtect team. We survey the approaches used, the special problems in various operating systems and software types, and some research directions that have not been covered.
Information and Communication Technology (ICT) Infrastructure in North-Eastern Hill University

The present study investigated the Information and Communication Infrastructure (ICT) infrastructure available in the North-Eastern Hill University (NEHU), Shillong and the purpose of using the internet by the students. The research method used was Descriptive Research. The entire population was taken as a sample that included all the Post-Graduate Students enrolled in the science streams belonging to five departments viz. Botany, Chemistry, Physics, Plant Molecular Biology & Zoology of NEHU, Shillong. Data were collected during the month of February 2020. Out of a total of 212, only 190 respondents voluntarily participated in the study. The tool used was a self-constructed mixed questionnaire. The result revealed that all the classrooms under the five departments possessed the basic ICT resources. The resources included a computer, overhead projector, whiteboard, internet connectivity, & pointer. There exists availability of free university Wi-Fi facilities for all students. However, only 61.58% of the participants were found to have the NEHU Wi-Fi Id & password. The major limitation of this study is its small sample size and contextual study. It is recommended to take a larger sample and more coverage of other educational institutions for the robustness of the findings. Again, the present study was based on students’ perspectives only. Hence, future research can include the teachers’ point of view on the incorporation of ICT.
Topic Guided Image Captioning with Scene and Spatial Features

Automatic generation of captions for visual contents has recently emerged as a challenging research field due to it’s enormous impact in areas like computer vision, information retrieval, autonomous vehicles and natural language processing. Traditional models mainly focus on single aspect of the visual features to generate descriptions. The proposed model incorporates spatial information of salient objects capturing detailed characteristics coupled with scene category to incorporate general image setting. These extracted features are processed by topic-aware attention-based language model to generate human like captions. Performance of the proposed model is compared with state-of-the-art research through evaluation on benchmark image captioning datasets. The experimental results depict the promising performance of the proposed model compared with the captioning models proposed in recent literature.
Multiple Uav Formations Distribution Task Planning Based on a Novel Distributed Adaptive Algorithm

In this paper, six-rotor UAVs are used in the field of distribution to realize the delivery of materials arriving the demand point by UAVs . Due to the small load capacity of the six-rotor UAV, in response to actual demand, the UAV group will be used to complete the delivery task. First, according to task requirements, determine the level, formation, and number of UAVs for each UAV formation. Secondly, the trajectory constraints and dynamic obstacles are established in the trajectory planning. Finally, the dynamic constraints and group perception range of UAVs in formation flight are considered to be close to the real requirements. In order to better deal with dynamic obstacles and related constraints, this paper designs a distributed adaptive algorithm based on individual decision-making and group decision-making. Individual decision-making is embodied in the intelligence and adjustment of UAVs, involving actor-critic methods, artificial potential field method ideas and probability finite state machines; group decision-making is embodied in the leadership mechanism and joint decision-making; self-adaptation is embodied in the automatic adjustment of UAV level in group. In order to avoid collisions between UAV groups, a conflict resolution algorithm is designed. Through simulation analysis, the distributed adaptive algorithm proposed in this paper can not only satisfy all constraints, avoid dynamic obstacles stably, and complete tasks with small fluctuations, but also obtain the most successful decision-making UAV in the group. This article further analyzes and discusses the relevant parameters in the algorithm, and obtains the optimal parameter ranges in individual decision-making and group decision-making.
DEVELOPMENT OF COGNITIVE ABILITIES OF YOUNGER SCHOOLCHILDREN THROUGH DIGITAL RESOURCES

The article deals with the problems of developing cognitive abilities of younger schoolchildren through digital resources. The genesis of cognitive abilities is philosophically analyzed and expressed through the categories of mind, attention, thinking, intuition, discourse, etc. Psychologically (attention, perception, memory, thinking, imagination) is presented as a system of rational ways of mental activity, consisting of the processes of perception, assimilation, processing and transfer of knowledge. In pedagogical aspects, creativity in the performance of various tasks is characterized as manifestations, intellectual development in aspirations. Digital educational resources are recognized as a means of developing cognitive abilities. The article will reflect the tools of digital education. Rudolf Amthauer's "interests and needs test" was conducted to determine the levels of cognitive abilities of younger schoolchildren. The results have been processed. In the formative experiment, the content of the "Cognition" program for the 2nd grade is analyzed. Summarizing the results of the formative experiment, we came to the conclusion that the independent development of cognition in primary school age is one of the urgent problems of modern school. Its relevance is due to the content of training, the designation of the tasks of forming students' methods of self-education, the formation of their active life position. As a result of all the work, generalized conclusions and methodological recommendations on the use of digital resources for the development of cognitive abilities of younger schoolchildren are given.
Sensor Fusion and Measurement Errors

Problem statement: Calibration of a complex measurement system may require a large amount of testing. To improve calibration quality, tests include multiple calibration points across the system's measurement range and multiple measurements at each point. Organizing such tests is expensive and complex. Purpose of research: To consider the possibilities of sensor fusion for calibration purposes of a measurement system with a minimum number of calibration points and a single measurement at each point. Analysis of options for constructing informative functional dependencies based on a minimum of data. Consideration of the practical possibilities of a solution for metric data. Results: Errors in constructing calibration points based on merging sensory data are estimated. Methods of interpolation and approximation for constructing a calibration function with a minimum of data are considered. Practical significance: a method for calibration of autonomous intelligent measurement systems in the absence of a mathematical measurement model based on the minimum amount of available data is proposed.
References

Building upon the award-winning second edition, this comprehensive textbook provides a fundamental understanding of the formative processes of igneous and metamorphic rocks. Encouraging a deeper comprehension of the subject by explaining the petrologic principles, and assuming knowledge of only introductory college-level courses in physics, chemistry, and calculus, it lucidly outlines mathematical derivations fully and at an elementary level, making this the ideal resource for intermediate and advanced courses in igneous and metamorphic petrology. With over 500 illustrations, many in color, this revised edition contains valuable new material and strengthened pedagogy, including boxed mathematical derivations allowing for a more accessible explanation of concepts, and more qualitative end-of-chapter questions to encourage discussion. With a new introductory chapter outlining the “bigger picture,” this fully updated resource will guide students to an even greater mastery of petrology.
Data Driven Enterprises

No AccessThe Handbook of Data Science and AIApr 2022Data Driven EnterprisesMario Meir-Huber, Stefan PappMario Meir-HuberSearch for more papers by this author, Stefan PappSearch for more papers by this authorhttps://doi.org/10.3139/9781569908877.014SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2022Pages: 411-433Print ISBN: 978-1-56990-886-0eISBN: 978-1-56990-887-7 Copyright & Permissions© 2022 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Intelligent Figure Replacement Platform Based on Deep Learning

We introduce an intelligent platform to automatically replace the figures in video. The platform consists of three parts: figure replacement, content synthesis and interactive output. The original figure can be replaced by target figure captured with green screen background. The synthesized video is harmonized to fit the original video style. Actor can interactive with the output video to achieve better artistic effects. For the input video, we used Siammask and the STTN algorithm to key out the targeted figure and synthesize the background. Then, we use green screen keying in UE4 to get new figures in green screen background. Finally, we use the RainNet algorithm to harmonize the style of the foreground and background. Different from the existing methods which require manual manipulation on the video, our platform enhances the video production efficiency while lowers the requirement of video creation skills.
Mansion with centuries of history

The article talks about the Samarkand regional library, which in 2021 was a century and ten years old. The author comments on the history of the library directly through the publications kept in its funds, namely, through the newspaper “Okraina”, which began to be published in Samarkand in the XIX century. For example, one of the last issues of “Okraina” in 1983 published a large analytical article by a well-known public figure in the region, Yuri Yakubovsky, entitled “What and how to study in our suburbs.” According to the article, since not everyone can afford to subscribe to books from Russia and various European countries due to the high cost of postal services, only some wealthy Samarkand residents order very “expensive, luxurious folders”, while others use the cheapest editions of Pavlenkov or Suvorin. Gradually, the author of the article of that period paid attention to the importance of libraries.
Analysis of Knowledge Graph Model of Exercise Physiology Based on Computer Information Technology

Modern educational technology is the deep integration of educational technology and information technology, using computer-based information technology as the core of the theory and technology of educational teaching. Modern educational technology can provide students with a personalised and independent learning teaching environment and facilitate communication between teachers, students and pupils across time and space. Based on modern education technology, the online teaching platform of "Exercise Physiology" course is constructed to complement the traditional pre- and post-course education, maximising the release of teaching energy and allowing learning to never go offline. This paper constructs a knowledge mapping of "Exercise Physiology" course, based on the principles and methods of modern educational technology, and uses use case model for requirements analysis and a hierarchy diagram for functional design to improve a complete solution for platform development and help online teaching and learning to take place.
The Design of Interactive Real-Time Audio Feedback Systems for Application in Sports

In competitive sports, testing and training equipment is used to monitor and optimize the training process and to analyze and improve the performance of athletes. These technologies offer coaches and athletes innovative and effective support. Sports science research provides empirical evidence that the use of synthesized additional audio information (data-driven sonification) as interactive feedback has positive effects on the accuracy of perception, the reproduction and regulation of movement patterns as well as on motor control and learning. Providing objective data on technical devices quantifies the information and enables the detection of deviations in the movement being performed. To meet the needs of a specific field, the measurement and analysis systems are developed by engineers in collaboration with scientists, biomechanics and coaches. In addition to biomechanical aspects, the athletes’ subjective perception and individual idea of the movement should be considered. Thus, the interface between human and computer becomes an integral part of the process of selecting, manipulating or controlling the display. This chapter aims at describing the design of interactive real-time audio feedback systems for sport applications. Focus is on the development of specially adapted sonification algorithms for real-time sound synthesis and the information transfer to the athlete.
Method for forming of teams of collaborators to develop knowledge about threats to Humanity

[The current stage of Humanity development is accompanied by an increasing number of threats to its existence. Unfortunately, to eliminate these threats, the efforts and resources of all Humanity as a whole are needed. However, in order to not only eliminate, but even detect these threats, it is necessary to create new methods and technologies. The development of these methods of technology can only be carried out by relatively small teams, which consist of highly qualified specialists. The purpose of the paper is to develop a method for creating teams of collaborators, whose task will be to develop methods for identifying threats and methods of countering identified threats. The paper presents a method of creating a team for design and counter against such threats. Methods for identifying talents and geniuses that should make up a team are detailed. Several cases of threat and tasks for the counter-team are also given.