Reviewerly/exHarmony huggingface dataset:
RESULTS OF A UNIVERSITY EXPERIENCE, COMPARING FACE-TO-FACE, ONLINE AND HYBRID TEACHING IN A CONTEXT OF SARSCOV19

The irruption of sarscov19 in the spring of 2020 was a challenge for everyone, particularly university teaching, where solutions had to be improvised urgently.Technological resources and online teaching played a fundamental role, and the involvement of students, teachers and administration led to an acceptable outcome.After the first impact of the pandemic, new alternatives compatible with the protocols of social distancing and health security were proposed in the planning for the academic year 2020-2021.As in many other universities, a synchronous hybrid learning (SHL) model was offered at the Universitat Politècnica de València (UPV), combining online learning and face-to-face (F2F) activities.In the SHL model, some students attended classes in-person (the room capacity limited the number according to the minimum distances between people required) and stream for the rest of the students, who followed the class simultaneously.In addition, the classes were recorded to enable their asynchronous use.SHL was only used when the conditions were favourable.Vulnerable teachers were teaching entirely online in their groups.When the number of students in a group was small enough, teaching was fully F2F, maintaining the online option only for vulnerable or confined students.The laboratory practices followed a similar hybrid scheme.The tutorials were attended by email or videoconference, and the exams were preferably in-person, with ad hoc solutions in the cases of confined or vulnerable students.Between February and June 2021, a pilot experience was carried out in the Electricity course of the degree in Electronic Engineering and Industrial Automation at the UPV.Three groups were taught with a different methodology: online, SHL and F2F teaching.Planning, academic resources, and evaluation were the same in the three groups.All three followed active flipped classroom methods.In this paper, the student's academic outcomes and the results of opinion surveys conducted on the activities are presented.Results are analysed in terms of the three groups/methodologies showing reasonable doubts about the SHL model where, the academic results and the student's opinions are significantly lower than the other two methodologies.These results could help to decide the best methodological solution if we had a similar situation in the future.
DESIGN RESEARCH METHODOLOGY: INNOVATION FROM ACADEMY TO MARKET

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 6422-6427ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.1517Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
A NEW ONLINE DOCTORAL DEGREE FOR WORKING ENGINEERING PROFESSIONALS

Appears in: EDULEARN22 Proceedings Publication year: 2022Page: 8957 (abstract only)ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.2147Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
SAFEGUARDING UNIVERSITY STUDENTS AND STAFF ON LINE: WHAT WORKS IN HIGHER EDUCATION

Appears in: EDULEARN22 Proceedings Publication year: 2022Page: 1355 (abstract only)ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0354Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
NEUROTECHNOLOGY APPLIED TO THE ASSESSMENT IN HIGHER EDUCATION

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 2627-2635ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0676Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
USE OF THE QUIZIZZ CELL PHONE APPLICATION IN MATHEMATICS BY 5TH GRADE STUDENTS

1 1Agrupamento de Escolas Morgado de Mateus - Vila Real (PORTUGAL)2 University of Trás-os-Montes e Alto Douro (PORTUGAL)
VIRTUAL SPEAKING HEAD AS A TOOL IN SPEECH THERAPY

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 802-807ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0236Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
PERTUS - A SOFTWARE SYSTEM FOR PERSONALIZED TEACHING AND ASSESSMENT

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 8878-8882ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.2130Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
TOWARDS MICRO-CREDENTIALING IN EUROPEAN HIGHER EDUCATION

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 3392-3401ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0830Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
REVERSE TENDENCIES IN READING AND WRITING IN THE CONTEXT OF A CHILD MOTOR SKILLS LEVEL

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 8580-8586ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.2045Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
TELECOMMUTING BEFORE, DURING AND AFTER COVID-19: EFFECTS ON UAE HIGHER EDUCATION WORKFORCE

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 10422-10433ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.2532Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
OVERCOMING DIGITAL DIVIDE – A TALE OF TWO COHORTS

1 Center for Engineering Education Research, KLE Technological University (INDIA)2 School of Electronics and Communication Engineering, KLE Technological University (INDIA)
LAAS: Lightweight Anonymous Authentication Scheme for Universal Internet of Vehicles (UIoV)

Over the period, the universal internet of vehicles (UIo V) has acquired considerable attention in enhancing drive safety, traffic management, infotainment. Due to the heteroge-neous communication, it is highly vulnerable to various types of security and privacy attacks. Security and privacy concerns in the UIo V are commonly addressed with central authentication, in which only the registration authority has the power to authenticate vehicles and other UIo V components. Some of the researchers proposed anonymous authentication techniques to re-move this dependency. However, the existing methods for anony-mous authentication endure a very high computation overhead for the certificate and signature validation process, due to which a high rate of message loss happens. In this paper, we propose a lightweight anonymous authentication scheme called LAAS for UIo V using a bilinear map and lightweight cryptographic operation (i.e., one-way hash function, XOR, concatenation) to achieve a high level of security and privacy. Additionally, we propose an idea of batch message verification. The performance analysis of LAAS demonstrates that it is lightweight and produces an efficient result in terms of computational cost and latency when compared to other existing state-of-the-art schemes for verifying signatures and certificates by holding conditional privacy in UIo V, as demonstrated in this paper.
Multi-channel Network with Dense Attention for Image Super-Resolution

With the development of deep learning technology, various image super-resolution (SR) reconstruction methods based on the convolutional neural network (CNN) have been proposed. However, most of the existing methods cannot make good use of the tiny feature information in the original images and do not fuse local and global information, which results in blurred texture details of the reconstructed image. Aiming at this problem, this paper proposes a Multi-channel Network with Dense Attention (MNDA) for image super-resolution. The proposed network uses a multi-channel parallel convolution module (MPCM) to extract rich features from low-resolution images. Next, the extracted features are sent to the Long-Short path Attention Module (LSAM), which fuses and compresses the features extracted by the previous module, and the extracted feature information is distinguished by the Spatial-Channel Attention Block (SCAB), thereby enhancing the recognition ability of the network. Multiple long-short path attention modules are combined using Dense Local Connection (DLC) for image reconstruction. When performing the most difficult 4x reconstruction, on the four test datasets, the PSNR of the proposed algorithm is improved by 0.84/0.37, 0.33/0.16, 0.93/0.51, and 1.45/0.78, respectively, compared with IDN/SADN. The experimental results show that the proposed algorithm has good performance in natural image super-resolution reconstruction, and can reconstruct clearer images.
A Face Recognition Method In Machine Learning (ML) For Enhancing Security In Smart Home

The study explores with Machine learning (ML), which is a type of neural network (AI) that empowers software programmers to start increasing prediction without being done with full to make this happen Exterior door security is of paramount importance and has become the cornerstone for the best and fastest security or sufficient to choose a feeling of protection to property owners, and together with technological innovations, especially in the Communication area, which tends to make emerging innovations in locking doors or windows have picked up a lot, including such locking doors and windows with faces and the others. Face - recognition technologies have also been developed and used for residential door locking mechanisms, and they are a basic and easy-to-use technology that detects the features of homeowners quite well. The advancement of facial recognition has resulted in one of the computer vision algorithms that is simple to build and has a high accuracy in recognising faces, and it has been widely utilised. When consumers review or exposure to new goods, does this have an instant influence on your suggestion system or does it take time, How do suggestions evolve as consumers interact more with the platform, many different of each sort of recommendation system in order to have a more detailed of their capabilities.
The Intelligent Smart City Deployment Via Artificial Intelligence Software Networking

The Software Defined Network (SDN) structure is a novel approach to network management. Switches in SDN do not process incoming packets in the same way that they do in a traditional network computing environment. They look in the linking tables for incoming packets, and if none are found, they are sent to the control system for processing, which is the SDN's operating system. The most serious threat to cyber security in an SDN network is a Spread Denial of Service (Dodos) attack. The attack will take place at the network or application layers of the infected devices that are linked to the network. In this paper, an intelligent machine learning-based method for detecting whether incoming packets are infected or not is proposed Smart city activities seek to go beyond the limitations of traditional urban planning, which regulates critical infrastructures in silos, and to profit on the pervasiveness of data and services given by electronic technologies such as machine learning, the internet of things, affordable and big data.
Internet of Things (IOT) Based Assessment for Effective Monitoring Data Against Malicious Attacks on Financial Collectors

The investigation explores that internet of things has now become a vital part of our generation and it has a rapid growth in the field many people see this as the next big thing but they are very much unaware of its norms and benefits it has been estimated that by the end of 2022 to there may be about 50to 60 billion internets of things are going to be installed in our rapidly growing world there are numerous benefits of the internet of things in today's fast-growing and running world but there are numerous backward points are too which make the internet of things things that should be handled with care in the right hands basically what are internet of things or the thing we call as lOT so these are the touchable objects which are attached in with sensors, processing abilities, software and other technologies that connect and exchange and process data. so now as our topic is telling us that the numerous attacks have been made on the internet f things so here we will discuss the how should be the internet of things should be managed and monitored so that the effective monitoring of the data should be done and should make safe storage and processing of the data and protect them against malicious attacks on financial collectors and industries.
Current Status and Tasks of Foreign Language Debate Contests: Focusing on the Undergraduate and Graduate students Russian Debate Contest Across the Country

The purpose of this study is to examine the current status and meaning of the Undergraduate and Graduate students Russian Debate Contest Across the Country, which is celebrating its 12th anniversary this year, and to improve problems related to the contest. More specifically, the present study focuses on exploring what are necessary to achieve the desired goals of the contest, such as the development of Russian language and debate culture, the expansion of Russian base in Korea, and the proper distribution of Russian culture.<BR> What follows is the development of chapters. Chapter 1 attempts to establish the debate concepts and explores the debate theories. Chapter 2 compares and analyzes the history, operation methods, and themes of the English and Second Foreign Language Debate Contests currently held in Korea. Chapter 3 discusses the current status of the Russian Debate Contest in detail, compares it with the English and Second Foreign Language Debate Contests discussed in Chapter 2, and suggests the future direction to improve the Russian Debate Contest.
The application of RBF network in teaching management system

In teaching quality evaluation, the most important content is the teacher&#x0027;s teaching evaluation. With the speeding up of education informationization, the current teaching management difficulty is how to use network technology to evaluate teachers&#x0027; teaching quality in traditional teaching, and how to evaluate teachers&#x0027; teaching quality in network teaching environment is also a key problem in the development of network teaching. In the simulation tool, the BP neural network evaluation model is used to train and study the teaching quality data in a certain amount.
WebSockets and JSON

The Jakarta EE platform aims to provide a common ground for developing Java enterprise solutions that incorporate HTML5 and other modern web technologies. WebSockets are a full-duplex communication mechanism that allows both textual and binary messages to be sent between clients and servers, without the HTTP request/response life cycle. WebSockets allow either the client or the server to send a message at any time, providing an asynchronous solution for working with data while the user is performing a task.
Development of a Real-Time Obstacle Detection System on Embedded Computer Based on Neural Network and Multi-camera Streaming

The paper presents the study of implementing a real-time obstacle avoidance pro-gram based on the multi-camera streaming and a single neural network to process all of input frames come from the cameras. When a collision situation is detected, the collision mode forces all operations to be disabled. The neural network uses the PyTorch framework and based on the DroNet model. The optimization framework used to enhance the neural network real-time performance is TensorRT. Feeding the neural network are 4 camera streams which provide 30 FPS each without any problems. The testing on NVIDIA Jetson Nano’s Jetbot with a low-cost Pi camera V2 equipped with 160-degree FOV lens shows that the obstacle detection system could obtain an accuracy of 80%. The results in this paper demonstrate the feasibility of this approach for further development of a real-time obstacle avoidance system with multi-camera streaming on drones to prevent collisions as well as the ability to improve the P-DroNet accuracy for its applications with low-cost cameras by adding data and network retraining.
Token, tokenization and sustainable development

Financial innovation has given great importance to sustainability. The Sustainable Finance Strategy represents one of the central points of the European agenda, and Fintech offers important opportunities in this field. However, some “valuable” Fintech instruments seem to not have been adequately considered. The reference is to Bitcoin and to the “crypto-industry”. The most common public belief about Bitcoin and sustainability is that Bitcoin is polluting the ecosystem. Immediately, the concept is extended to Distributed Ledger Technologies (DLTs), to blockchain and to all related innovations. Notwithstanding this, some research shows that there is still some uncertainty on the precise amount of energy used by Bitcoin-related activities and on how to calculate it. The scope of this paper is to make give some clarity on this uncertainly in order to show, on the one hand that DLT is not “polluting”, but that pollutions come from the way each miner decides to conduct their businesses. On the other hand, a DLT system can be considered sustainable thanks to its capacity to solve a various number of environmental problems “related” to how businesses are conducted.
Strategic Issues of National Education Post Covid-19

The current uncertain global condition is a challenge for the world of education.Advances in technology and the COVID-19 pandemic have caused tremendous disruption in almost all aspects of life, including education.This article analyzes various strategic national education issues after the Covid-19 pandemic.The method used in this article uses a literature review approach.The study results show that many strategic issues in education must be the attention of stakeholders to improve the quality of education.These issues include equal distribution of education, social change, the quality of human resources, and the demands of society for quality education.
The Investigation of The Missing Link Between Transformational Leadership and Motivation

Recently, new types of leadership have emerged, a new generation of leaders designed and developed new types of organizations. The best practices became the evidence of poor knowledge about the leadership phenomenon. In the paper, the authors made an attempt to synthesize the interpretations of the man key terms in motivation theory and to find the missing link between motivation and leadership. The motivation as system of components is in the centre of current research, namely needs, drive, aspirations. The traditional division in extrinsic and intrinsic motivation is complicated by tangible and intangible motivation. Some studies highlighted the importance of intangible motivation, and therefore new findings in this sphere are in focus of current research. The authors presented an overview of the key terms and their interpretations by the main contributors in motivation theory. The study of Nanus and Bennis is the main seminal work that introduced the Wallenda factor as a term to the world of leaders and strategists. Four strategies for leadership were analysed in this paper with specific emphasis on the Wallenda factor as the link between motivation and leadership. The strategies include managing through vision, creating of meaning via communication, positioning, and deployment of self through positive self-regard and the Wallenda factor. The observations prove that optimistic expectations may become a powerful driver of changes and increment innovations in the organization. The Wallenda factor of a leader might be a significant factor in setting challenging goals and motivating employees to achieve them. In contrast, the fear of failure may stop the innovation and ruin the organization that depends on the business environment. It is recommended to include positive thinking (or Wallenda factor) into the list of intangible factors of motivation at an organization.
Quantum metrology with a non-linear kicked Mach–Zehnder interferometer

We study the sensitivity of a Mach-Zehnder interferometer that contains in addition to the phase shifter a non-linear element. By including both elements in a cavity or a loop that the light transverses many times, a non-linear kicked version of the interferometer arises. We study its sensitivity as function of the phase shift, the kicking strength, the maximally reached average number of photons, and damping due to photon loss for an initial coherent state. We find that for vanishing damping Heisenberg-limited scaling of the sensitivity arises if squeezing dominates the total photon number. For small to moderate damping rates the non-linear kicks can considerably increase the sensitivity as measured by the quantum Fisher information per unit time.
Thermal-Aware on-Device Inference Using Single-Layer Parallelization with Heterogeneous Processors

Numerous neural network (NN) applications are now being deployed to mobile devices. These applications usually have large amounts of calculation and data while requiring low inference latency, which poses challenges to the computing ability of mobile devices. Moreover, devices' life and performance depend on temperature. Hence, in many scenarios, such as industrial production and automotive systems, where the environmental temperatures are usually high, it is important to control devices' temperatures to maintain steady operations. In this paper, we propose a thermal-aware channel-wise heterogeneous NN inference algorithm. It contains two parts, the thermal-aware dynamic frequency (TADF) algorithm and the heterogeneous-processor single-layer workload distribution (HSWD) algorithm. Depending on a mobile device's architecture characteristics and environmental temperature, TADF can adjust the appropriate running speed of the central processing unit and graphics processing unit, and then the workload of each layer in the NN model is distributed by HSWD in line with each processor's running speed and the characteristics of the layers as well as heterogeneous processors. The experimental results, where representative NNs and mobile devices were used, show that the proposed method can considerably improve the speed of the on-device inference by 21%-43% over the traditional inference method.
Experimental Reform of the Course " Engineering Materials and Moulding Technology Foundation" in the Information Age

The experimental processes of the course “Engineering Materials and Moulding Technology Foundation” are relatively complicated, and the teaching is difficult in the limited time. The simulation experiment and comprehensive experiment and other modern teaching means introduced, the multimedia teaching way used, examples about failure analysis and new materials developing joined, experiment examination way refored, these measures strengthen the cognitive teaching, and form " model cognition-simulation virtual-practice operation" with the combination of new experiment teaching methods, and students know how to apply theories in practice well.