Reviewerly/exHarmony huggingface dataset:
Using Technology to Support Administrations in Controlling the Sars-Cov-2 Pandemic1

Considering the restrictive measures adopted in Italy, as in many other countries, to contain the SARS-CoV-2 epidemic, the authors analyse how technological tools can support controls on private activities; and how technological tools can effectively support the activities of public administrations. In this perspective, the authors’ attention focuses on some technological solutions used to help deal with the SARS-CoV-2 emergency, including the Immuni app created in 2020 by the Italian government. The author concludes that, to make such technological solutions truly effective, they must be widely spread among the population. Regarding the European rules on privacy and applying the principle of proportionality, the authors, therefore, investigate whether and under what conditions national authorities can impose the download of an app to citizens. The last paragraphs also account for the most recent developments related to the adoption of the EU Regulation of July 2021 on a framework for the issuance, verification and acceptance of COVID-19 Certificates.
Intercultural Communication in Computer-Mediated Discourse

Political and economic globalization, together with constant technological advances, has resulted in unprecedented levels of international human mobility. As a result, societies are increasingly intercultural. Nowhere is this interculturality more pervasive than in digital discourse (traditionally known as computer-mediated communication or CMC), where interlocutors from different cultural backgrounds may interact on global platforms and social networking sites such as Twitter, Instagram, or YouTube, to name but a few. Intercultural communication, however, poses interlocutors with serious challenges to overcome, such as differences in their value systems, and diverging communication styles and behaviours. All of them can easily lead to miscommunication and conflict between cultural groups, both within and across societies, as well as the perpetuation of cultural stereotypes. Yet, most research on CMC to date has focused on monocultural studies or cross-cultural comparisons while intercultural communication in CMC is still rather under-researched. Keeping the above in mind, the present chapter aims to review the research that has been carried out so far in the field of digital discourse with a special focus on intercultural communication, as well as to provide readers with avenues for future research in this burgeoning field.
Recap of Part III: Challenges in Applying Data Science

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Trending Topics in Software Engineering (1)

The continuous evolution of Software Engineering (SE) comes with a series of methodological and technical challenges to be faced, modelled and suitably tackled. Particularly, we observed that modern software systems are more and more deployed onto pervasive Cloud-IoT networks and composed of heterogeneous distributed components that interact to achieve a common business logic. Such phenomena naturally lead to the continuous development of newly trending topics worth exploring and discussing within our community, spanning the whole lifecycle of software applications (i.e. from design to development, testing, deployment, and management).
An Analysis of Teachers' Participation Consciousness on Educational Activities in Innovative Schools

This study was conducted to analyze the participation consciousness of innovative school teachers. Since innovative schools are model schools that try to improve schools by delegating authority to teachers to manage schools voluntarily, so the teachers' consciousness of participation is very important. 160 teachers from kindergartens, elementary schools, and middle schools that operated innovative school for more than four years in Chungcheongnam province responded to the survey questionnaire about consciousness of participation.&#x0D; As a result of the analysis, the need of innovative schools for school development was strongly recognized by responding with 4.28 points out of 5. 74.4% of respondents answered they voluntarily participate in the innovative schools, but 31.3% of teachers answered they participate passively. 67.5% answered that the reason for participating in innovative schools is because they provide students with various educational activities. For the development of innovative schools, teachers considered democratic decision-making important, and managers recognized that learning-oriented classes are important. Senior teachers had a higher percentage of responses that optimizing school work was important. Participants responded that since it is an innovative school, democratic consultation culture, school work optimization, professional learning community, and learning-oriented classes are possible.&#x0D; The innovative schools are an innovative movement in which teachers voluntarily participate in solving school problems. Most of the teachers of innovative schools agree with and actively participate in the innovative movement, but some teachers do not agree with this spirit and participate passively. In order to become a model for autonomous school-centered public education innovation pursued by innovative schools, efforts should be made to recognize and improve the problems of teachers who do not agree with innovative schools.
A Study on the Competency and Professionalism of Lifelong Education Instructors

This study was conducted to identify the research trends on the competence and professionalism of lifelong education instructors and to explore the direction in which future research should proceed. To this end, 38 degree papers on the competency and professionalism of lifelong education instructors, 25 academic papers, and a total of 63 articles pubilshed from 2008 to 2021 were analyzed for the lifelong education instructor activity field, research purpose, research method, type of research participants, and components of competency and professionalism. As the results of the analysis, it was found that in the lifelong education instructor activity field, integrated topics without a separate education area was most often studied and as the purpose of research, it was found that there were far more studies on competence strengthening than professional development. As for the research method, qualitative research was high, and it was confirmed that the type of research participant expanded to instructors, learners, planners, and parents. As a result of analyzing the components of competency and professionalism, competency included knowledge, skill, attitude, and professionalism included knowledge, experience, and problem solving, as well as 'creativity' and 'values, goals, and habits' as components.
Framework ITIL V3: Analisis Tingkat Kematangan Manajemen Insiden pada Perusahaan Ekspedisi

&lt;p&gt;&lt;em&gt;Expedition company “PT. VWX Semarang&lt;/em&gt;” &lt;em&gt;has implemented an information system in its service activities. However, there may be incidents or disruptions during service activities that can reduce business performance and quality. The purpose of this study was to determine the incident management procedures that have been implemented and measure the maturity level of incident management based on the ITIL V3 framework and provide recommendations for improvement. Data was obtained using observation, interview, and questionnaire. Respondents in this study were users of the service system at expedition company The results of this study indicate that the maturity level of incident management is at level 3 (defined); it means the activity or business process has existed and has become a habit, but the improvement process has not been comprehensively structured. Recommendations for improvement based on the ITIL V3 framework are given to reach the maximum maturity level.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords:&lt;/em&gt;&lt;/strong&gt; ITIL V3&lt;em&gt;; information technology; incident management; maturity level&lt;/em&gt;&lt;/p&gt;&lt;p align="center"&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak.&lt;/strong&gt; Perusahaan ekspedisi PT. VWX Semarang telah telah menerapkan sistem informasi dalam kegiatan pelayanannya, meskipun begitu masih terjadi insiden atau gangguan yang dapat menurunkan performa dan kualitas layanan tersebut. Tujuan penelitian ini adalah menganalisis manajemen insiden pada Perusahaan ekspedisi untuk menentukan tingkat kematangan layanan teknologi informasi berdasarkan kerangka kerja ITIL V3. Data diperoleh dengan observasi, wawancara dan angket kepada pengguna layanan manajemen insiden. Hasil penelitian menunjukkan bahwa tingkat kematangan manajemen insiden berada pada level 3 (&lt;em&gt;defined&lt;/em&gt;) yaitu aktivitas atau proses bisnis telah ada dan menjadi kebiasaan namun terstruktur proses perbaikan secara menyeluruh. &lt;span style="text-decoration: line-through;"&gt;P&lt;/span&gt;erbaikan atas layanan teknologi informasi diarahkan agar proses manajemen insiden terstruktur menjadi terinstitusi pada tingkat kematangan yang meningkat.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kata Kunci:&lt;/strong&gt; ITIL V3; teknologi informasi; manajemen insiden; tingkat kematangan&lt;/p&gt;
Conducting Your Own Experiment Involving Human Subjects

This book is designed for an undergraduate, one-semester course in experimental research, primarily targeting programs in sociology, political science, environmental studies, psychology, and communications. Aimed at those with limited technical background, this introduction to social science experiments takes a practical, hands-on approach. After explaining key features of experimental designs, Green takes students through exercises designed to build appreciation for the nuances of design, implementation, analysis, and interpretation. Using applications and statistical examples from many social science fields, the textbook illustrates the breadth of what may be learned through experimental inquiry. A chapter devoted to research ethics introduces broader ethical considerations, including research transparency. The culminating chapter prepares readers for their own social science experiments, offering examples of studies that can be conducted ethically, inexpensively, and quickly. Replication datasets and R code for all examples and exercises are available online.
Teacher education strategy for using of intelligent learning system

본 연구는 지능형학습시스템 활용에 따른 교사교육 전략에 관한 것이다. 지능형학습시스템 활용은 교수학습에 상당한 영향을 미칠 수 있는데 이에 대한 연구가 미흡한 실정이다. 이에 지능형학습시스템의 개념과 역할, 그리고 개발 실태에 대한 분석을 하고 지능형학습시스템 활용에 필요한 교수학습 유형, 교사교육 프로그램 개발에 필요한 전략을 제시하였다. 지능형학습시스템은 적용형학습시스템, 고급 가상학습 시스템이라고도 불리며 학습자의 학업 배경, 학습태도, 반응 수준에 따라서 학습내용을 차별적으로 제공하는 인공지능응용프로그램으로서 국내외에서 개발 운영하고 있다. 국내에서는 경남교육청 아이톡톡시스템, 해외에서는 민간과 대학을 중심으로 개발하고 있는데 Mathia, Thinkster 등 국내외 모두에서 수학 교과가 주류를 이루고 있다. 이러한 지능형학습시스템의 핵심 역할은 학습자를 지속적으로 모니터링, 평가하면서 학습자의 스타일과 수준에 적합한 콘텐츠를 제공하는 것이다. 구체적으로 퀴즈 제공과 피드백, 언어학습 시스템, 학습자 커뮤니티 모니터링 시스템 등이 있다. 한편 이와 같은 시스템 활용에 적합한 교수학습 유형은 개인화학습, 적응형학습, 역량중심수업, 블랜디드학습으로 제시하였다. 개인화수업은 기존부터 존재했던 수업 유형인데 지능형학습시스템으로 현실화된 것이며 역량 중심 수업은 같은 공간, 같은 시간에 학습하는 형태를 탈피하여 목표를 달성할 때까지 학습을 진행한다는 개념의 수업유형이다. 이에 필요한 교사 교육 전략은 지능형학습시스템을 활용하기에 적합한 교육내용 선정 방법을 안내해야 하며, 교사가 수업의 보조자 역할을 이해하고 실천하는 방법에 대한 교육이 필요하다. 또한 지능형학습시스템 및 인공지능 이해 프로그램을 운영해야 한다.This study is about the teacher education strategy according to the use of the intelligent learning system. The use of intelligent learning systems can have a significant impact on teaching and learning, but studies on this are insufficient. Accordingly, the concept, role, and development of the intelligent learning system were analyzed, and the types of teaching and learning required for the use of the intelligent learning system and strategies necessary for the development of teacher education programs were presented. The intelligent learning system, also called an adaptive learning system or advanced virtual learning system, is an artificial intelligence application program that differentially provides learning content according to the learner's academic background, learning attitude, and response level, and is being developed and operated at home and abroad. In Korea, the Gyeongnam Office of Education's System is being developed overseas, with private universities and colleges developing it. Mathematics subjects are the mainstream in both domestic and foreign countries. The core role of such an intelligent learning system is to provide content suitable for the learner's style and level while continuously monitoring and evaluating the learner. Specifically, there are quiz provision and feedback, a language learning system, and a learner community monitoring system. On the other hand, the types of teaching and learning suitable for using such a system were presented as personalized learning, adaptive learning, competency-oriented class, and blended learning. Personalized learning is a class type that has existed before, but it has been realized with an intelligent learning system. Competency-oriented learning is a class type with the concept of learning until the goal is achieved by breaking away from the form of learning in the same space and time. The necessary teacher education strategies should guide how to select the appropriate educational content to utilize the intelligent learning system, and it is necessary to educate the teacher on how to understand and practice the role of an assistant in class. In addition, an intelligent learning system and artificial intelligence understanding program should be operated.
EXPLORING EFFECTIVENESS OF PEER COUNSELLING IN MITIGATING DRUG AND SUBSTANCE ABUSE IN ZIMBABWEAN SECONDARY SCHOOLS: RURAL LEARNERS’ PERSPECTIVE

In rural secondary schools in Zimbabwe, there has been an increase in the number of learners involved in drug and substance abuse. In response, numerous measures among them guidance and counselling have been put in place to mitigate learners against abusing drugs and substances. It is in this context that this study sought to gain insight into the effectiveness of peer counselling strategy as a homegrown remedy to the reduction of drug and substance abuse by rural secondary school learners. It is in this context that the data generation was guided by the qualitative approach. Twenty rural secondary school learners and six stakeholders from different sectors communities who are involved in guidance and counselling initiatives were purposively sampled. Data generated through document analysis and in-depth interviews were analysed according to emerging themes. Findings revealed that in some cases both rural female and male learners are involved in drug and substance abuse as in their interactions they influence each other. Consequently, drug and substance abuse in these rural secondary schools cannot be regarded as a ‘boys’ hazard. Therefore, this called for the need to empower learners in these rural schools through the engagement of all stakeholders in the formulation of the peer counselling strategy. It is against this background that it can be concluded that to a larger extent peer counselling can be an effective strategy in alleviating drug and substance abuse amongst learners in Zimbabwean rural secondary schools. Therefore the following recommendation was made: in rural secondary schools coaching of all stakeholders on the implementation of peer counselling as an instrument to ease off learners' engagement in anti-social conducts should be strengthened.
Micro-Path Planning for Lane-Changing Return of Autonomous Vehicles

A path planning method of the car to return to the original lane needs to be established when the self-driving car fails to change lanes in an autonomous driving environment. The study for vehicles to return to the original lane when the vehicle fails to change lanes in the unmanned environment is necessary. In the study, we used the quintic polynomial path planning method to establish a path optimization model of returning to the original lane based on the requirements of vehicle kinematics. Considering the safety and efficiency of lane-changing return, we set up a comprehensive benefit function to evaluate the model. Simulations were used to test the models and compared paths. The results indicate that the proposed lane changing return model has high accuracy and can guarantee the safety of the return path to actual driving.
Research on Construction Method of Vehicle Driving Cycle in Urban Congested Road Section under Bad Weather

In order to objectively describe the operation characteristics of vehicles on bad weather congested roads, this paper selects representative urban roads for data collection. The experimental data were preprocessed, and the vehicle driving data were divided into kinematic segments. Then principal component analysis and K-means ++ clustering was carried out to screen out the kinematic segments that could represent the actual driving of vehicles, and the vehicle driving conditions of urban congested sections under severe weather were obtained by connecting them. Finally, the characteristic values of the constructed driving conditions are compared and verified with those of the actual driving data of the vehicle. The constructed driving conditions can truly reflect the actual running conditions of the vehicle.
Intelligent Red Deer Algorithm based Energy Aware Load Balancing Scheme for Data Fusion in Cloud Environment

A cloud computing (CC) method was effectual if its sources were used in optimal way and an effectual consumption is attained by using and preserving proper management of cloud sources. Resource management can be attained through adoption of powerful source scheduling, allotment, and robust source scalability methods. The balancing of load in cloud is performed at VM level or physical machine level. A task use sources of VM and whenever a bunch of tasks reaches VM, the sources will be exhausted means no source is now existing for handling the extra task requests. This article develops an Intelligent Red Deer Algorithm based Energy Aware Load Balancing Scheme for data fusion in Cloud Environment, called IRDA-EALBS model. The presented IRDA-EALBS model majorly concentrates on the balancing of load among the virtual machines (VMs) in the cloud environment. The IRDA-EALBS model is mainly stimulated from the nature of red deers during a breading period. In addition, the IRDA-EALBS model derived an objective function to minimize energy consumption and maximize makespan. To demonstrate the enhanced performance of the IRDA-EALBS model, a wide range of experimental analyses is carried out. The simulation results highlighted the enhanced outcomes of the IRDA-EALBS model over other load balancers in the cloud environment.
TickTock: Detecting Microphone Status in Laptops Leveraging Electromagnetic Leakage of Clock Signals

We are witnessing a heightened surge in remote privacy attacks on laptop computers. These attacks often exploit malware to remotely gain access to webcams and microphones in order to spy on the victim users. While webcam attacks are somewhat defended with widely available commercial webcam privacy covers, unfortunately, there are no adequate solutions to thwart the attacks on mics despite recent industry efforts. As a first step towards defending against such attacks on laptop mics, we propose TickTock, a novel mic on/off status detection system. To achieve this, TickTock externally probes the electromagnetic (EM) emanations that stem from the connectors and cables of the laptop circuitry carrying mic clock signals. This is possible because the mic clock signals are only input during the mic recording state, causing resulting emanations. We design and implement a proof-of-concept system to demonstrate TickTock's feasibility. Furthermore, we comprehensively evaluate TickTock on a total of 30 popular laptops executing a variety of applications to successfully detect mic status in 27 laptops. Of these, TickTock consistently identifies mic recording with high true positive and negative rates.
Breast Cancer Detection Using Deep Learning and Feature Decision Level Fusion

Among women, breast cancer has a high incidence and high fatality rate. Due to a lack of early detection facilities and barriers to accessing technological improvements in battling this illness, mortality rates are disproportionately greater in underdeveloped countries. Biopsies done by trained pathologists are the only certain approach to diagnosing cancer. With the use of computer-aided diagnostic algorithms, pathologists may improve their efficiency, objectivity, and consistency in making diagnoses. A key goal of this research is to create an accurate automated system for diagnosing breast cancer that can function in the current clinical setting. In this work, we offer an algorithm for the identification of breast cancer that uses asymmetric analysis as the basic choice and decision-level fusion. Fusion of local nuclei features extracted using convolutional neural network (CNN) models pre-trained on the database constitutes the picture feature representation. The dataset is accessible for public use, and the results are evaluated by running 25 random trials with an 80%-20% split between train and test. Overall, the suggested framework was 86%. The proposed framework is shown to outperform numerous current methods and to provide results on par with the state-of-the-art techniques without requiring extensive computing resources. Breast cancer detection from histological pictures may be greatly aided by the use of this qualitative approach based on transfer learning.
A Systematic Study of Sign Language Recognition Systems Employing Machine Learning Algorithms

The deaf and mute population struggles a lot in expressing their thoughts and ideas to others; Sign Language is the most expressive means of communication for them, but a majority of the general population is callow of sign language, hence the mute and deaf experience difficulties while communicating to the rest of the world. To overcome this communication barrier, a device that can accurately translate sign language gestures to speech and vice-versa in real-time is needed. There exist solutions for converting verbal or written language to sign language in real-time reliably and accurately, however the same cannot be said about translating sign language to textual and/or vocal format. The currently existing systems either do not support communication in both directions, are not real-time, have low recognition accuracy, or require static surrounding conditions. Some systems require additional hardware components like expensive sensors, which tend to increase the cost. In this survey, we have reviewed numerous existing solutions and have categorized them depending on the method used. We hope that the results obtained from this study may serve as a road map to guide future study in the domain of Sign Language Recognition (SLR).
The human thinking and mind, information and thermodynamics

«Nothing happens accidentally» - the scientists often say. The crisis of science requires new ideas and approaches, which can ensure not only the further development of science itself, but also the solution of the problems of the optimal existence and coexistence of a man and the humanity in this vast world. The change of worldviews, scientific paradigms doesn’t always run smoothly, but the motion is inevitable these are the laws of evolution. Only the science gives the only real ways for the further evolutionary development of the mankind. The human mind and thinking still remain a mystery to science. Science has tried many times to reveal the secrets of the human thinking, but so far this mystery has not been discovered. «Everything passes, everything changes» - said the ancients and they were right. Very likely, the only things that remained invariable were the human thinking and mind; they were and always will be a convincingly changeable and constant stimulant to the development of the mankind.