Reviewerly/exHarmony huggingface dataset:
Extreme Learning Machine Based Transient Stability Assessment: An Energy Function Approach

One of the most challenging task at Energy Control Centre is the prediction of transient stability. Deregulation and ever increasing integration of renewables has made it complex and more demanding in terms of frequent evaluations. Transient Stability Assessment is computationally intensive task and longer computation cycle brings in obsolete results as system operating state evolves continuously. Extreme learning machine (ELM) offers prediction results comparable to other state-of-art learning methods and has much quicker learning curve. WSCC 3-machine 9-bus system and IEEE 39-bus New England test power system are considered to demonstrate the superiority of ELM as a predictive model. ELM is trained using data points generated through transient energy function (TEF) approach. Transient energy terms along with real and reactive power and fault location are used as input attributes for ELM to quickly and accurately determine transient stability margin (TEM).
Enabling Autonomous Navigation within Urban Environments for Existing Powered Wheelchairs

People with severe disabilities are limited in their options for independent mobility. Amyotrophic Lateral Sclerosis (ALS), Spinal Muscular Atrophy (SMA), Spinal Cord Injury (SCI), cerebral palsy, multiple sclerosis and muscular dystrophy etc., seriously affect the extremities and make the operation of commercially available wheelchairs and Powered Wheelchairs (PWs) through a joystick User Interface (UI) difficult or near impossible. Symptoms affecting individuals can vary in severity and consistency, reducing the effectiveness of singular control modalities. This paper presents Smart Wheelchair Assistant for Autonomous Navigation (SWAAN), an add-on-device for existing PW platforms that provides an alternative set of Human-Machine Interface (HMI) modalities for user selection. SWAAN offers users control through either speech recognition, teleoperation or autonomous navigation, beneficial to people with different levels of disabilities. This addresses the constrained application of singular control modalities and minimises the physical and cognitive effort required for Activities of Daily Life (ADL). SWAAN demonstrates successful autonomous navigation through outdoor urban environments at The University of Sydney (USYD).
Light Weight Optical Image Encryption Technique Based on Optical Fourier Transform (Oft)

This research suggests a unique picture encoding technique based on OFT and block-based transformation in order to communicate image data over an open network. First, a transformation technique was used to create a transformed picture, and then an optical Fourier transform (OFT) algorithm was used to encode the newly-created encrypted version of the converted image. The suggested method's security relies on the alteration algorithm, sensitivity to the randomness of the phase mask, and the order of OFT. The method has been shown to be beneficial in theoretical and experimental studies. As a result of the implementation, the maximum and minimum UACI (unified average changed intensity) and pixel rate (NPCR). A foundation for future research and a framework for new researchers have been laid down in this study.
Virtual pedagogical class in the context of a classical university: principles of organization, problems, solutions

The creation of pedagogical classes based on the initiative of teachers usually working in higher education organizations is now becoming compulsory, as required by the Russian Ministry of Education. New normative and methodological documents require a focus on modules and disciplines whose content largely mirrors higher education curricula, and school teachers become the main instructors in psycho-pedagogical classes. This approach seems insufficiently developed: it does not take into consideration the age specifics of schoolchildren, narrows down the topics of these classes and overestimates the capabilities of learners during pedagogical tryouts. This article proposes a different program content for psycho-pedagogical classes, based on the experience gained by Saratov University and other universities in the country and implemented by leading university professors. The value system, current principles and conceptual model of the university pedagogical class are presented. Schoolchildren listen to lectures on great educators and their influence on civilizational processes, discuss pedagogical communication tools, learn about digital hygiene, explore generation issues in their own lives and in the professional activities of teachers, and get acquainted with pedagogical design. Expanding the thematic core, actualization of the general background knowledge, facts, events, cases, embedding the educational paradigm into the personal paradigm of each learner appears to be a cutting-edge and timely principle for the design of a pedagogical class. The article demonstrates the potential of binary classroom technology through a themed dialogue of teachers, framed as a discussion. The conceptual basis of the proposed model is a dialogue which is implemented through continuous feedback using the advantages of videoconferencing platforms, social networks and e-mail.
Post-education, what after? Part 1

The concern of teachers, schoolchildren and parents about the current state of education is regularly sanctified both in the media and in the fundamental analytical works of specialists. The need for new ways and methods of organizing education rests on the one hand on official standards that are completely illegitimate in the eyes of the public, and, secondly, in the absence of alternative viable projects based on the continuity of educational constructs, taking into account the traditional cultural characteristics of the Russian people, which are so rich in domestic pedagogy and psychology.
Multimodal Sentiment Analysis Based on Pre-LN Transformer Interaction

Multimodal sentiment analysis aims to extract and integrate semantic information collected from multimodal data to identify the information and emotions expressed in multimodal data. The main focus of this area of research is to develop an extraordinary fusion solution that can extract and integrate key information from a variety of patterns. In view of the problems of the existing model, such as weak parallel computing ability and insufficient remote dependence processing, this paper proposes a cross-modal contextual interaction model (CMCI-PLNT) based on Pre-LN Transformer to carry out the information interaction between language, audio and video, and uses the self-attention module to filter redundant information. Finally, the residual network was used to fuse the information and perform emotion analysis. The core of the model is directed pairwise cross-modal attention, which focuses on the interaction between multi-modal sequences at different time steps. Our model achieves 81.2&#x0025; accuracy on the MOSI dataset and 81.5&#x0025; accuracy on the MOSEI dataset, The experiment shows the feasibility and effectiveness of the model in this paper.
Senior High School Students’ Awareness and Literacy on Computer Software Applications

The digital revolution has had a significant impact on daily life, as shown by the widespread use of devices and the seamless incorporation of technology into everyday activities. The purpose of this research paper is to find out the weak points of students in the awareness and usage of essential software applications as the fundamental inputs to the Program Enhancement for Senior High School (SHS) Technical-Vocational-Livelihood – Information Communication and Technology (TVL-ICT) students at Lopez National Comprehensive High School. The study utilized descriptive method of research conducted at Lopez, Quezon. A purposive sampling method was used in selecting the sample size constituting 36 student-respondents in different age and year levels. The study used Google forms and the survey was conducted via the internet due to the pandemic. The findings of the study showed that the Grade 11 and 12 students are aware of ICT fundamentals and different computer software applications. It was further revealed that there was significant difference in the computer software application awareness between grade 11 and grade 12 students. In order to improve students’ knowledge and literacy in database applications, webpage design, and basic computer programming, an enhancement program may be applied to the specialization or integrated into other ICT subjects.
Are You Fluent in Emoji?

In my Twitter profile, I state that I’m “fluent in emoji.” When I wrote that originally, I was mostly joking. I am not laughing any longer. I have come to learn the power of the well-placed emoji, and I am here to explain to you why emojis matter. I believe emojis make our messages more accessible and approachable. They tell a story when used well. They attract the valuable attention of a reader. And they make a message more fun, approachable, and consumable! The impact and reach of a journal are about a lot more than the Journal Impact Factor. Authors are expecting us to do far more than publish their papers. They want us to make their papers immortal and to ensure that their research is talked about and remembered for years to come. An editorial office that is making great use of varied social media platforms to amplify authors and articles is equally as enticing to submitters. When an editorial office shows off an author’s work, that author remembers how well they were taken care of. Not only was their paper published, but it was celebrated! But what makes a tweet or a Facebook post or an Instagram story or a LinkedIn blurb stand out from a social media user’s endless scrolling possibilities? There is only so much time in the day. Your social media post needs to stand out from the crowd. Creating videos and graphic assets are important tools in social media, but it’s not feasible […]
Blockchain Technology in Healthcare

Today, blockchain technology is considered one of the most promising and potential innovations. It allows information to be stored and transmitted in a secure, transparent manner without a central authority to control it. One of the main advantages of this technology is the immutability of the stored information. In view of its characteristics, this technology could provide solutions to problems encountered in a rather sensitive field, namely, healthcare. The healthcare sector is facing many problems that some are trying to solve today. The main ones concern the management of medical records and the claims process, accelerating clinical and biomedical research and advancing the biomedical and health data registry. This chapter presents the contribution of blockchain technology in the healthcare field, a field proven more than ever with the advent of the Coronavirus for various cases.
Cryptocurrency Revolution

Time series forecasting is a big fuss or it can be said that it’s a trending topic that has many feasible implementations including stock prices prediction, weather prediction, trade design and capital allotment. Therefore, it contributes to a large number of applications in the controversial domain of blockchain. In the realm of blockchain, forecasting is necessary so as to predict the future prospects. Owing to its immutable and decentralised nature, blockchain facilitates the tracking of malicious activities via anomaly detection. In the recent past, machine learning is spreading its root in every domain and blockchain is not left unmarked by it. It enforces the system to learn from past experience, acknowledge the pattern and thus apply that knowledge in future. In this work, we measure the prophecy or predicting capability of the bitcoin time sequence. This work presents an extensive review of machine learning algorithms along with an implemented study of ARIMA model, LSTM model and XGBoost to predict the fluctuations on a monthly basis. Further, the paper introduces K-means clustering-based anomaly detection scheme that predicts anomalies on the basis of timestamps in Weighted price and Volume of bitcoin. It has been shown that prediction of the anomalies on the dataset yields favourable outcomes and surpasses the outcomes of forecasting in terms of accuracy. Finally, the paper concludes by highlighting several open research challenges in the field of study.
Blockchain for IoT-Based Healthcare

Current advances in technology have led to the emergence of networks of small and low-cost devices that incorporate sensors with embedded processing and limited wireless communication capabilities. Internet of Things (IoT) is used in healthcare for monitoring patients via wearable sensors for measuring much physiological information. These collected information can be stored, processed, and make available to doctors to give a consultation at any time, which improves the efficiency of the traditional medical systems. Indeed, due to multiple design faults and a lack of effective security measures in healthcare equipment and applications, the healthcare industry based on IoT is increasingly confronting security challenges and threats. For this reason, big security measures should be taken to ensure that patients’ data can only be accessed by legitimate users. In this chapter, we offer a comprehensive overview of many potential attacks and explore their implications. In addition, we examine and debate the existing security solutions proposed for healthcare systems.
Voice Cloning in Real Time

Abstract: Deep learning models for natural voice cloning methods were first developed in 2016, and since then, the researchers' main attention has been on making the voice more realistic and obtaining the output voice in real time. Previously it used to take many hours of voice samples to clone a few seconds. It was decreased to a few seconds after utilizing deep learning models. We shall look at various voice cloning techniques in this paper. Multi-speaker generative models, speaker adoption, speaker encoding, vector quantization, and other techniques are among them
Decentralized Identity Management for E-Health Applications: State-of-the-Art and Guidance for Future Work

Background: The increasing usage of various online services requires an efficient digital identity management approach. Unfortunately, the original Internet protocols were not designed with built-in identity management, which creates challenges related to privacy, security, and usability. Thereis an increasing concern regarding the management of these sensitive data in the society, who have access to it and where it is stored. Blockchain technology can, potentially offer a secure solution to address this problem, in a decentralized manner without any centralized authority. This is of importance for e-health services where the patient and the healthcare provider often are required toprove their identity. Blockchain technology can be utilized for creating digital identities and make themanagement of those identities easier, giving a higher degree of control to the user than what current solutions offer. It can be used for creating a digital identity on the blockchain, making it easier to manage for individuals and entities, giving them greater control over who has their personal in-formation and how they handle it, and it could be utilized to create a higher degree of trust andsecurity to e-health applications. Objective The aim of this research work is to review the state-of-the- art regarding blockchain-based decentralized identity management for healthcare applications. Based on this summary, we provide a viewpoint on how blockchain-based decentralized identity frameworks couldbe utilized for virtualized healthcare applications. Method This research has applied a scoping, semi-systematic review approach to summarize thestate-of-the-art. Included identity management systems were evaluated based on seven criteria:Autonomy, Authority, Availability, Approval, Confidentiality, Tenacity and Interoperability ResultsSeven blockchain-based identity management systems were included and evaluated in this work:These include solutions built with Ethereum, Hyperledger Indy, Hyperledger Fabric, Hedera andSovrin &nbsp;blockchains. Conclusion Digital identity management is crucial for virtual healthcare. Decentralized identity management for healthcare purposes is currently being explored, both in academia and the private sector. More work is needed with the aim to improve the efficiency of current DIM solutions and to fully understand what technical frameworks are best suited for e-health applications.
AN ANALYSIS OF STUDENTS’ DIFFICULTIES IN UNDERSTANDING DESCRIPTIVE TEXT AT THE STUDENTS OF MTS N 1 BANGGAI

The purpose of this study was to identify the difficulties of understanding descriptive text faced by the students of class IX MTS N 1 Banggai, and to identify the factors that influence students' difficulties in understanding reading descriptive texts. The subjects of this study were students of class IX MTS N 1 Banggai. This type of research is descriptive qualitative. This study used two instruments to obtain data, namely interviews and the students’ result. The researchers classify and reduce data. The researcher found that some students still did not understand the descriptive text which was determined by the main idea. The researcher found that some students did not understand the descriptive text, whose main idea was determined first. And, students who had difficulty understanding the vocabulary of the text. Then, there are students who have difficulty in understanding making conclusions from the text using and the last difficulties are to find detail information in descriptive text. The factors that cause students to have difficulty in understanding English reading texts are difficulties in understanding long sentences to read. text, inadequate instruction given by the teacher, difficulty in understanding vocabulary.
A STUDY OF FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH: AN EMPIRICAL EVIDENCE FROM AN INDIAN ECONOMY

Purpose: Using yearly information from 1982 to 2020, the paper‘s goal is to investigate the link between economic growth &amp; financial development in India. Design/methodology/approach: ADF, KPSS, Ng– Perron, and DF-GLS unit root tests are used to verify stationarity characteristics. The autoregressive distributed lag (ARDL) technique to co-integration is used to investigate short and long-run dynamics. Findings: The co-integration test reveals a long-term link between India's economic growth and financial development. According to the findings of the ARDL tests, both market and bank-based indices of financial development have a significantly and positives influence on India's economic growth. As a result, the findings back up the supply-side hypothesis and emphasize the significance of financial development in economic growth. The results also suggest that the Indian financial sector, which is dominated by banks, has the ability to develop the economy through credit transmission. Originality/value: To achieve long-term economic growth, the current study suggests suitable financial market changes. Policymakers that aim to maintain a simultaneous expansion of growth and financial development may find the findings valuable.
2P-Analysis of the Effect of Higher Education on Fair Mobility of Social Classes Based on the Perspective of Intergenerational Mobility under the Background of Internet Big Data

Intergenerational mobility,especially the intergenerational mobility of education, reflects the fairness of society to a certain extent. Based on the perspective of intergenerational mobility, this article aims at the educational intergenerational mobility of 6358 domestic families based on descriptive statistical analysis and regression coefficient analysis. A case study was carried out to explore the impact of parents&#x2019; educational level on children&#x2019;s educational level. The research in this paper finds that the education level of domestic children will be significantly affected by the education level of their parents. The intergenerational mobility of education is relatively poor and the fair mobility of social classes needs to be further improved.
CONCEPT AND TYPES OF COPYRIGHT VIOLATIONS IN THE INFORMATION AND DIGITAL SPACE

The article analyzes the concept of copyright infringement in the digital information space. It proposes its own definition of the category "civil offense" in order to consolidate it in the Civil Code of the Russian Federation. The features of the composition of copyright infringement in relation to the information-digital space are highlighted. A classification of copyright infringements is proposed. In order to reduce copyright infringements in the digital information space, it is necessary to provide at the legislative level a system of optional registration of copyright by introducing a deposit procedure into civil legislation.
Diseñando el acceso abierto al conocimiento, herramienta educativa en tiempos de COVID-19

The capacity for adaptation and human reinvention was affirmed as extraordinary potential for resilience during the COVID-19 pandemic. Education suddenly migrated to the use of technology and virtual and distance activities, where internet is quantitatively and qualitatively a fundamental tool for the development of a most part of the educational process, however, there is an evident digital gap, not only because of access to the network, but also the way and the devices available. The academic community takes advantage of open science to transmit information and knowledge in the face of the global challenge. Access to information, a fundamental pillar in the 2030 Agenda for Sustainable Development, is the mechanism that allows the free flow of information and promotes the protection of human rights such as education. However, in the face of the “new normality” it is urgent to rethink the organization of learning, its methodology, the purposes of education, reflect on alternative and possible futures that promote the right of access to knowledge and reduce the differences in science, technology, humanities, arts, and innovation. A functional solution can be the design of open access knowledge strategies that lead to more open, accessible, efficient, democratic, and transparent information.
Design of a cooperative prevention and control platform for low, slow and small threat

With the rapid development of &#x201C;low, slow and small&#x201D; aircraft technology, due to its low cost, portability, and ease of operation, there are more and more cases of illegal flight of aircraft and terrorist attacks. Reports about illegal surveying and mapping of &#x201C;low, slow and small&#x201D; aircraft, approaching investigations, and disrupting normal aviation order frequently appeared in the newspapers, causing relatively large negative effects and economic losses, and seriously affecting national security and the normal development order of the national economy. Aiming at the target prevention and control of &#x201C;low, slow and small&#x201D; threats in complex urban environments, the framework, composition and function, interface, use process and data interaction of the collaborative prevention and control platform are carried out with the demand of collaborative prevention and control as the traction and the iterative optimization of key technology and prevention and control effectiveness as the goal, so as to provide a platform for the integrated test and full digital simulation test supporting the prevention and control system.