Reviewerly/exHarmony huggingface dataset:
Learning Evolving Concepts with Online Class Posterior Probability

In this paper, we propose a new instance-aware concept drift detection and learning algorithm, called CPP, by dynamically capturing the evolving concepts via online Class Posterior Probability. Instead of comparing distributions of two adaptive windows of data or using prediction performance to infer concept drifts, we model and trace the concept drift by investigating the change of class posterior probability via ensemble of classifier chains directly. Building upon the intuitive concept drift modeling, CPP shows several attractive benefits: (a) It is capable of detecting and learning both gradual and abrupt concept drifts effectively, and thus supports accurate predictions. (b) CPP allows distinguishing real concept drifts from noisy instances or virtual concept drifts. (c) The time-changing concepts are captured and learned at the instance level, and this suggests that CPP lends itself to fast concept drift detection and learning. Empirical results show that our method allows effective and efficient concept drift detection and has good prediction performance compared to many baselines.
Technology of teaching future bachelors of “Pedagogical Education” programme as an object of digital didactics

The Decree of the President of the Russian Federation “On National Goals and Strategic Objectives for the Development of the Russian Federation for the period up to 2024” notes the need for the accelerated introduction of digital technologies in the economy and the educational sphere, and the role of higher pedagogical education is accordingly increasing. This actualizes changes in the structure of the system of higher pedagogical education, the transformation of its technological component, taking into account digitalization. The technology of teaching future teachers as an object of didactic design is an important format of the technological component of modern higher pedagogical education, an actual area of scientific research in digital didactics. The purpose of this study is a theoretical substantiation of the essence and structure of the technology of teaching future bachelors of “Pedagogical Education” programme as an object of digital didactics. Procedure and methods. Analysis of scientific developments in the field of technologization of higher pedagogical education and digital didactics, evaluation of the prospects for educational and project activities. The results of the study include a scientifically substantiated structure of the technology for teaching future bachelors in the direction “Pedagogical Education”, the expansion of the terminological apparatus and the technological component of digital didactics and didactic design in the system of teaching bachelors in the direction “Pedagogical Education”.
Risk Assessment of Reported Accident-causing Products Using Rapid Exchange of Information System Risk Assessment Guideline

Purpose: This study mainly identifies the level of potential defects in products that can possibly cause accidents using a risk assessment process. Moreover, strategies for preventing future accidents are suggested.<BR>Methods: A risk assessment model was devised using the Rapid Exchange of Information System (RAPEX) Risk Assessment Guideline and based on accident report data. Risk assessment was conducted for each accident report, and items with high potential risks were classified.<BR>Results: The risk assessment confirmed that among the 136 accident reports, 20 accidents were identified to have been caused by products whose level of defect could be classified as “serious risk.”<BR>Conclusion: Accident information (except sensitive information) regarding products with a level of defect classified as “serious risk” must be available as public data. Manufacturing companies are expected to provide this information to the public as part of safety management.
Service Availability of Virtual Machines in Cloud Computing

Cloud computing over years has presented an alternative to traditional computing for organizations and individuals by providing resources and services through a pay-per-use model as supposed to owning them. Other notable features of the cloud are rapid elasticity, on-demand self-service, and resource pooling. Virtualization is one of the enabling technologies driving cloud computing that creates a software abstraction between the computer hardware and the operating system (OS). This abstraction layer is known as hypervisor or virtual machine monitor (VMM) and is responsible for processing, allocating, and releasing resources as demanded. It also enables multi-tenancy by allowing multiple virtual machines to coexist in the same physical machine to share resources. Notwithstanding all the numerous benefits of cloud computing, one major factor that can affect its general adoption is the availability of cloud services and resources. Availability, one of the security triads, ensures that there is no interruption of service leading to the inability of the user to access computing services and resources. Maintaining high availability in the cloud involves ensuring that authorized cloud users have access to the cloud service and resources as demanded. Among the factors that affect cloud availability are malicious attacks like Distributed Denial of Service (DDoS), weak cloud infrastructure, component failure, and critical application failure. In this work, we consider the availability of cloud services with regards to security and infrastructure failure and propose a conceptual smart virtual machine (VM) pre-copy live migration that migrates a virtual machine between two physical machines.
MANAGEMENT OF ICT-MEDIATED LEARNING: A CURRICULUM DESIGN PROPOSAL FROM UNIVERSIDAD NACIONAL DE CHIMBORAZO.

The current situation in the field of education demands teachers who are capable of functioning in new learning scenarios where the possibilities offered by ICT for information acquisition and communication processes are enormous. In this sense, it is necessary to have postgraduate programs that contribute to the development of digital skills in teachers. The main purpose of this work is to propose the curricular design for a Master's program in Education, Mention in Management of Learning Mediated by ICT, offered by Universidad Nacional de Chimborazo in Ecuador. For this, a qualitative research was undertaken in order to characterize and determine the most important features of each module of the curriculum. A documentary research design was applied through the PICOC method (Population, Intervention, Comparison, Outcome, Context). The result of this work was a curricular mesh that consists of 12 study modules wherein aspects such as: digital literacy for the new society were addressed; didactics in new digital environments; the design and development of content and digital resources for learning; new ways of learning and innovating in education; as well as research in educational technology.
Perceived Hindrances to Health Information

The paper examines perceived hindrances to information about healthy living and how it relates to education, age, and sex. Data was collected by a survey, using a random sample of 1,800 people aged 18 years and older. The response rate was 39%. In addition to background questions, information hindrances were measured by a total of 15 questions, which are all in the form of statements. For six of the 15 statements presented in the study, half or more of participants in all socio-demographic groups agreed that they describe hindrances. The participants´ experience of the hindrances varied though. Findings about socio-demographic differences mainly related to age and education, although differences by sex were also found for some of the hindrances.
Intelligent Securing the Industrial IoT Data Based on Consensus Mechanism

Industrial Mechanical Internet of Things (IIoT) assumes a crucial job for Industry 4.0, individuals are focused on actualizing a general, versatile and make sure about IIoT framework to be embraced across different ventures. Be that as it may, existing IIoT frameworks are powerless against single purpose of disappointment and noxious assaults, which can not offer stable types of assistance. Because of the versatility and security guarantee of block-chain, consolidating block-chain and IoT increases extensive intrigue. Be that as it may, block-chains power-serious and have low-throughput, that are not reasonable power-obliged IoT gadgets. We propose a block-chain-empowered productive information assortment and secure sharing plan consolidating Ethereumblock-chain and deep reinforcement learning to make a dependable and safe condition. Right now, is utilized to accomplish the most extreme measure of gathered information, and the block-chain innovation is utilized to guarantee security and dependability of information sharing. The proposed framework exploits block-chain innovation as far as its straightforwardness and sealed nature to help reasonable products trade among dealers and providers. Also, the decentralization and pseudonymity property will assume a critical job in safeguarding the security of members in the block-chain.
Visual comparative analysis of online Chinese teaching based on CNKI literature

With the spread of COVID-19, online Chinese teaching has been booming worldwide, and the study of online Chinese teaching has also increased. Visual analysis is a theory, method and technology that uses computer graphics and image processing technology to transform data into graphics or images displayed on screen and then interactive processing. This paper takes 46 core journal papers in CNKI database as the data pool, and draws the knowledge map of online Chinese teaching research by using geographic information sysem geographic information system and text cloud generator, micro word cloud. Through the analysis of co occurrence of core authors, publishing institutions, and the publishing area and cluster analysis of key words, the current situation, hot spots and evolution trend of online Chinese teaching before and after the epidemic are compared. It is a new field to study Chinese teaching in the future. More scholars will invest in and improve the mechanism of online Chinese teaching. Hope to provide ideas for the scholars who study online Chinese teaching later.
MEDIA-TECHNOLOGY IN MORAL EDUCATION OF STUDENT

In the context of the continuous development of the economy, new requirements are constantly being put forward for the importance of the process of training and education. At the present stage, the focus of the world education reform has shifted to national quality education. The priority of such education is the upbringing of an all-round literate and educated person. Media technologies are one of the tools of modern influence on the process of teaching and upbringing. The authors consider media technologies as a set of systemic methods and actions of media education aimed at the formation of a personality, possessing a culture of mass communication, interaction in society based on humanistic ideals and values. Spiritual and moral education is the highest priority in education. The article highlights the question of how to reasonably use media technologies in order to develop the moral education of students and minimize the negative impact of new media on the ideological and moral level of students. The authors analyze the possibilities and problems in the moral education of students in the environment of new media.
Accelerating Path Planning for Autonomous Driving with Hardware-Assisted Memorization

Path planning for autonomous driving with dynamic obstacles poses a challenge because it needs to perform a higher-dimensional search (including time) while still meeting real-time constraints. This paper proposes an algorithm-hardware co-optimization approach to accelerate path planning with high-dimensional search space. First, we reduce the time for a nearest neighbor search and collision detection by mapping nodes and obstacles to a lower-dimensional space and memorizing recent search results. Then, we propose a hardware extension for efficient memorization. The experimental results on a modern processor and a cycle-level simulator show that the execution time is reduced significantly.
An MRI Based Algorithm for Detecting Multiple Sclerosis

Early diagnosis of brain disorders can significantly reduce the devastating consequences of these disorders. Physician’s diagnostic capabilities and diagnosis time can be improved using computerized diagnosis techniques. Magnetic Resonance (MR) images are used for diagnosing multiple sclerosis, which is a disease that occurs when the immune system eats away at the protective covering of nerves. MR images segmentation is a complicated task due to the variability in the lesion’s shape, location and patients’ anatomy. This study proposes a new computerized diagnosis technique for detecting brain disorders based on features extracted from MR images. Data of 121 cases were used, including healthy and patients with brain disorders. The cases were classified into normal and abnormal, with abnormal representing brain disorders cases. The abnormal cases were fed into a classifier to identify brain disorders. Classification accuracies in the two stages were 82.7% and 70%, respectively; indicating a significant improvement over methods found in literature. The automated structure of the proposed algorithm is suitable for use in hospitals at low cost.
The Development of an Immersive Malay Village Virtual Reality Experience

In this paper we write about using immersive technology, more specifically, Virtual Reality (VR) to develop a Malay Village experience for the younger generation to learn about their heritage and culture. In this project, the research team produced a VR walkthrough by using local content, for instance, using the real environment of a Malay village from southern peninsular Malaysia as a reference to construct the Virtual Environment (VE). 3D models of Malay houses were created based on the images of real Malay houses. The output of this project is a VR walkthrough of traditional Malay houses in a Malay village that can be viewed using a head-mounted VR gear. The walkthrough was then presented to the public in an exhibition. Feedback was taken to enhance the walkthrough experience. The objective of the project is to allow the public to learn and know more about the local heritage and culture through gamification and to promote VR as an approach for edutainment.
Basic Understanding of Medical Image Processing

In 1895 after the discovery of x-ray, images were commonly used for medical diagnostics. The process of taking images of the body parts for medical uses in order to study or identify various diseases is known as medical imaging. Throw out the world every week there are millions of imaging procedures been done. In this rapidly growing medical imaging process, including image recognition, analysis, and enhancement in image processing techniques. Image processing increases the percentage and amount of detected tissues. In this chapter, the authors presented a basic understanding of medical images and processing. Image processing is often viewed as arbitrarily manipulating an image for achieving an esthetic standard or supporting a preferred reality. Why we do the image process is because the fact is that the human visual system does not recognize the world in a similar way as sensors that record in the form of digital data.
Conclusion

In this chapter, we summarize the content of our book and we discuss current limitations of PLC technology. Buidling on these limitations, we highlight new research areas for residential and enterprise PLC networks.
A Tauberian Theorem and Uniform ∈-Optimality in Hidden Markov Decision Problems

In this chapter, we prove a Tauberian Theorem regarding the relation between the Abel limit and the Ces`aro limit of a sequence of real numbers, and apply it to prove that a uniformly $\ep$-optimal strategy exists in Hidden Markov decision problems.
Partial Pseudo-Random Hashing for Transactional Memory Read/Write Data Processing and Validation

Development of a bypass parallel processing block is one of the emerging and interesting research areas in memory read/write application domain.Many Random Number Generation (RNG) techniques have been introduced for processing the data in storage memory.But the limitations include reduced efficiency, increased computational complexity, high area consumption and higher cost.This paper presents a novel dynamic memory register with optimal XOR design based on partial pseudo-random hashing to process transactional memory read/write data.Transfer characteristics of the current are analysed based on the pseudo differential pair for proficient memory utilization.A memory window is then created and adjusted for obtaining an optimal power flow with lesser data loss.The performance of the proposed design is evaluated using different performance measures.The power consumed for processing the data using the proposed design is reduced to nearly 25% when compared to other proposed designs along with reduced component usage.Delay is reduced to 2.31ns and a 15% improvement in frequency and nearly 4% increase in throughput is seen when compared to existing methods.
Keynote: Adventures in Annotation: Providing High Quality Labels for Supervised Machine Learning

Ground truth annotation is a crucial prerequisite for the application of supervised classification methods for both, training and evaluation. To this end, the quality of the labels plays a significant role for the final ability of the trained system to recognize the concepts of interest. This talk addresses the problem of creating high quality labels by manual annotation and their application in downstream classification tasks. To this end, three studies will be reviewed that relied on the quality of the collected ground truth annotation and the procedure for ground truth annotation will be discussed. The first study applies planning operators and inverse planning to ensure that annotations of human behavior are causally correct [1] and, thus, can be used for downstream plan and intention recognition [2] . In the second study, an annotation scheme is derived from a clinical observation tool [3] and used as ground truth labels for the automated detection of challenging behavior in advanced stages of dementia [4] . In the third study, the annotation of named entities and their relations is discussed [5] that serves as reliable ground truth annotation for large scale information extraction [6] . Finally, the key factors of all studies will be summarized and discussed.
Analytical Method for Determining the Parameters of the Nubian Aquifer, Farafra Oasis, Western Desert, Egypt

The Farafra Oasis is located in Egypt's western desert, in the centre region of the country, covering an area of approximately 86,200 Km2.Groundwater extracted from the Nubian sandstone Aquifer System (NSAS ) in the Farafra Oasis, and considered as the only source of water supply, As a result of the growing population, groundwater development in the oasis became of great necessity, especially because the soil is appropriate for agriculture in the area.For this reason, deep investigations have been carried out for the area under interest to assess the NSAS hydraulic parameters as an initial phase for a complete groundwater management scheme for the NSAS aquifer in Farafra Oasis.The NSAS in the Farafra Oasis is recognized as two aquifers; 1-Post Nubian or limestone Aquifer System, which consists of limestone and shale of Upper Cretaceous to Paleocene age.2-The Nubian sandstone Aquifer system is composed of sandstone and little intercalation of shale and mud of an age ranges from Paleozoic to Cretaceous.The pumping test (constant discharge tests) followed by the recovery tests was done for the study area to calculate the transmissivity, storativity, and hydraulic conductivity of the aquifer using 2D analytical solutions.There are three productive zones in the area.The first one has a thickness range from 100-140 m (a.s.1.).The calculated transmissivity values for this zone vary from 400 to 1,200 m2/day and the average value of the hydraulic conductivity was about 1.5 m/day.The average thickness of the second zone is 450 m.The transmissivity values for this zone vary from 1,600 to 3,000 m2/day and the hydraulic conductivity reaches 6 m/day.On the other hand, the third zone has an average penetrated thickness of 500 m.Its transmissivity values vary from 1,800 to 2,500 m2/day while the average hydraulic conductivity is about 8 m/day.The storage coefficient values for the NSAS in the area range from 4.7x10-4 to 2.5x10-3, as determined by the analysis of pumping tests.The hydraulic parameters indicate that the aquifer is still hydraulically promising, however, In order to ensure the long-term development of this aquifer in Farafra Oasis, more management studies must be completed.
Semi-bounded Input/State/Output Systems

Chapter 8 concludes the book by proposing ways to improve decision-making in relation to sharing linked data for research. It considers improvements in a number of areas: the decision-making framework of interests, values, and rights; the decision-making criteria and conditions; the decision makers who are best placed to make each decision; and the decision-making process. The chapter sets out the interests, values and rights that should frame decisions in this sphere, not all of which are currently represented in decision-making frameworks. It provides a list of decision-making criteria and considerations that should be taken into consideration by the relevant decision makers. The chapter distinguishes between ethical decisions, which should be made by ethics committees and governance decisions, which should be made data custodians. Finally, the chapter makes recommendations for a decision-making process that will be efficient, transparent, accountable and collaborative. This process is designed to lead to better decisions and to ensure that both the decision-making process and the decisions themselves develop and sustain the social licence needed to support the important enterprise of research using linked data.
Hone Your Networking Skills

The Membership Management ReportVolume 18, Issue 6 p. 6-6 Relationship-Building Measures Hone Your Networking Skills First published: 04 May 2022 https://doi.org/10.1002/mmr.31928Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue6June 2022Pages 6-6 RelatedInformation
Input/State/Output Systems: Dynamic and Frequency Domain Properties

Chapter five describes the ethical framework regulating research using linked data and examines the applicable international ethics guidelines. A hypothetical research project is used to compare how these guidelines address the ethical assessment of research using linked data and in particular to compare how they address a waiver of consent and the extent to which they consider collective interests. The chapter goes on to discuss how the core ethical values of research merit and integrity, justice, beneficence, and respect can be reinterpreted to encompass the ethical concerns raised by research using linked data.