Reviewerly/exHarmony huggingface dataset:
Optimized Cloud Storage Data Analysis Using the Machine Learning Model

The volume and variety of data requires cloud storage for storage and to be processed effectively through the state-of-the-art trio (e.g., hardware, software, and communication technologies). Analysis of such data is always crucial for determining the success or failure of any business that employs any form of data analytics for its decision-making. A significant number of predictive analysis models have been proposed and researched for many years that span diverse application areas from market-share value prediction to real-time weather forecasting. These studies have some concerns about cloud storage as well as cloud deployment of analysis models; however, they focused less on appropriate optimization. In this chapter, a framework is proposed to address this configuration with optimization as the main concern. In this, cloud-stored data is analyzed, and the decision is made through cloud-deployed predictive models with optimization to reduce latency when employing real-time data. This chapter discusses issues in handling data storage in cloud infrastructure. The framework will focus on decision-making that is based on a real-time dataset with performance metrics, accuracy, and resource availability using SLA (service level agreement) management. The results of the machine learning (ML) model assure the real-time decision-making process depending on the accuracy level.
An Embedding-Based Approach to Repairing OWL Ontologies

High-quality ontologies are critical to ontology-based applications, such as natural language understanding and information extraction, but logical conflicts naturally occur in the lifecycle of ontology development. To deal with such conflicts, conflict detection and ontology repair become two critical tasks, and we focus on repairing ontologies. Most existing approaches for ontology repair rely on the syntax of axioms or logical consequences but ignore the semantics of axioms. In this paper, we propose an embedding-based approach by considering sentence embeddings of axioms, which translates axioms into semantic vectors and provides facilities to compute semantic similarities among axioms. A threshold-based algorithm and a signature-based algorithm are designed to repair ontologies with the help of detected conflicts and axiom embeddings. In the experiments, our proposed algorithms are compared with existing ones over 20 real-life incoherent ontologies. The threshold-based algorithm with different distance metrics is further evaluated with 10 distinct thresholds and 3 pre-trained models. The experimental results show that the embedding-based algorithms could achieve promising performances.
Offline User Authentication Ensuring Non-Repudiation and Anonymity

User authentication is the key to ensuring that only authorized users can deal with specific affairs and access services. Applications or systems possessing different properties or requirements need different authentication schemes. For example, some institutions or companies need executives to manage or inspect their corresponding departments while the inspected department should not know who the executives are but only can verify their legitimacy. This paper designs a non-repudiation and anonymity-ensured user authentication system to meet the mentioned special requirements. We also propose a user authentication scheme to ensure that the designed system can work as claimed. In the system, a department is equipped with an authentication device, namely the department authentication device, to authenticate an executive while the executive's identity is not revealed to the department and only the department's authentication device can identify the executive for non-repudiation. An executive is equipped with an authentication device to have himself/herself authenticated by the department's authentication device. Moreover, authentication data stored in an executive's authentication device does not need to be updated even when management personnel changes are made.
INSTRUCTIONAL DESIGN IN EDUCATION

Originating in the period of the Second World War, Instructional Design has gained importance in several fields of activity, from education, health, the government or military sector, to industry, business and non-profit organizations. The interest it aroused was mainly due to the effectiveness of its theory and application models, its purpose being the improvement of learning, the support of the acquisition of knowledge and the formation of skills.&#x0D; The present study is dedicated to Instructional Design and its role in education. The first section provides a brief overview of the evolution of this field from the period of the Second World War to the beginning of the 21st century. We also have here a review of the definitions of Instructional Design identified in the specialized literature. The second section is reserved for Instructional Design models that support teachers in design activities, the Gagné model, developed in the 1970s, and the ASSURE model, developed in the 1990s.
Introduction: Datacenter Network Evolution

What is a datacenter (or “data center,” which will be used interchangeably throughout the book)? It’s a fairly simple question at first blush to many IT professionals, but let’s start with proper definition of this term.
Fostering Bilingual Creativity in English Poetry Classroom: A Postcolonial Creative Writing Strategy

The study accentuates bilingual creativity as the pedagogical intervention of postcolonial creative writing strategy in poetry class through the writing of haiku and short poems. Twenty-five students in their freshmen year at the English Department were engaged in reading a culturally local text (Sumatra-Javanese ethnic poetry to compose poetry from a post-colonial perspective). The workshop's five phases exploring, inciting inspirations, drafting, editing, and peer feedback provided the student, as a novice writer, with the benefit of familiarizing themselves with character, theme, and cultural issues; developing a cognitive process to negotiate different meanings in their first and second languages; and exploring creativity to write their own poetry in the second language. The scripts written in English are the product of poetry classes, which reveal students' localized knowledge and cultural literacy. The works reflect the participants’ cultural identity, even though English is the dominant language showcased in the almost fifty poems composed by the novice writers. The existence of local languages points to the development of their bilingual creativity; students in the poetry classroom are not only able to handle the meaning in the first and second languages, but also to promote their local culture to the global world.
Recommendation For The Teaching Of Technical Disciplines In A Mixed Format

The benefits and necessity of distance learning are undeniable, and when the whole world switches to remote access due to the pandemic, education is no exception. The data is collected during the analysis of the disciplines comprehensibility among EKTU students in the Republic of Kazakhstan; a quantitative research approach and a content analysis method are used. In total, the performance of approximately 500 students in technical disciplines is analyzed. The study is conducted at EKTU in RK, which may limit the generalizability of the outcomes. The results of the paper provide significant and useful information to teachers, developers, and students regarding the teaching of principal subjects during distance learning at universities. Based on the experience and readiness of students, the obtained outcomes determine which learning system should be applied when working out an on-line learning system to improve the efficiency of learning and teaching. The research expands the existing knowledge of distance teaching of special disciplines of technical specialties in higher education institutions of the Republic of Kazakhstan and contributes to education in the context of distance learning, confirming the expanded model of acceptance of online learning technologies from the point of view of teachers of our university and considering differences in culture, learning style, and physical environment compared to other countries.
The situational variables influencing leadership in distance learning student groups

Introduction. The active development of digital tools and technologies, including for the organization of training, has led to a variety of situations that could not be ignored, in particular, the construction of various forms of distance learning (traditional and innova-tive lectures, as well as seminars). There are practically no studies in the scientific litera-ture that can explain how and with the help of which learning situations and forms of learning it is possible to achieve activity, productivity, efficiency, as well as successful assimilation of educational material by students in a distance format. The purpose of the study: to identify the relationship between situational variables and the effectiveness of leaders in the distance learning format. Materials and methods: the study was carried out in 2 stages. At the first stage, a quasi-experimental study was conducted to identify the relationship between situational variables and the effectiveness of students in the distance learning format. At the second stage, a search study was conducted in order to identify the personal qualities of leaders who showed their activity in several indicators: acting as a speaker, nominating a candidate for a leadership position (conference coun-cil) and the presence of comments /reactions to the individual work “Smart Book”. In addition, at the second stage of the study, respondents have passed a number of meth-ods: “Professional and managerial roles” (T.Y. Bazarov), “Communicative and organiza-tional roles” (T.Y. Bazarov), “Styles of responding to changes” (T.Y. Bazarov, M.P. Sycheva). Data processing was carried out using MS Excel. Results and output. Tradi-tional forms of distance learning contribute to reducing the effectiveness of students in the educational process. Innovative forms of distance learning contribute to increasing the efficiency of students in the educational process. Students who are active in the or-ganizational sphere of activity achieve high efficiency in learning. Students who are ac-tive in a meaningful field of activity achieve low efficiency in learning. Students who are active in the emotional sphere of activity achieve average efficiency in learning.
The Dynamics of a Modified Jaynes-Cummings Model

We introduce a dynamical system that instead of exchanging a single photon as in the atomic system of the usual Jaynes-Cummings model (JCM), it exchanges instead a squeezed coherent photon. Accordingly, the creation and annihilation photon operators in the JCM are replaced by the creation and annihilation operators of squeezed coherent states, respectively. This transformation generates a photon Hamiltonian that modifies the JCM that includes terms usually omitted in the JCM when making the rotating-wave approximation and, in addition, the transformation introduces atom exchange terms absent in the JCM.
A NEW PSO-BASED ALGORITHM FOR AN OPERATIONAL MANAGEMENT PROBLEM

Operational management issues represent a permanent challenge for the current economic environment and the research activity. This research will model a Travelling Salesman Problem (TSP). The complexity of this fundamental problem (np-hard) allows a chance to apply and develop heuristic methods and evolutionary algorithms along with exact methods (dynamic programming, branch &amp; bound). This paper proposes a new discrete algorithm to solve the TSP based on the Particle Swarm Optimization (PSO) technique. The features of this method are fast determination through an iterative process of the optimal problem, the generalised search in all the solutions, and the avoidance of the local optimal. To avoid premature convergence, we have introduced a new operator with a new mathematical function, and we have proposed new techniques for measuring and maintaining population diversity. We tested the algorithm's performance by applying it to numerical instances and compared it to the solutions and performance provided by other evolutionary algorithms. By delaying the convergence process, the new algorithm PSO offers reasonable solutions in terms of quality comparable to those offered by different evolutionary algorithms tested. At the end of the research, we highlighted the conclusions, limitations, and new techniques based on the PSO algorithm.
VLSP 2021 - VieCap4H Challenge: Automatic Image Caption Generation for Healthcare Domain in Vietnamese

Machine reading comprehension (MRC) is a challenging Natural Language Processing (NLP) research fieldand wide real-world applications. The great progress of this field in recents is mainly due to the emergence offew datasets for machine reading comprehension tasks with large sizes and deep learning. For the Vietnameselanguage, some datasets, such as UIT-ViQuAD [1] and UIT-ViNewsQA [2], most recently, UIT-ViQuAD 2.0 [3] - adataset of the competitive VLSP 2021-MRC Shared Task 1 . MRC systems must not only answer questions whennecessary but also tactfully abstain from answering when no answer is available according to the given passage.In this paper, we proposed two types of joint models for answerability prediction and pure-MRC prediction with/without a dependency mechanism to learn the correlation between a start position and end position in pure-MRCoutput prediction. Besides, we use ensemble models and a verification strategy by voting the best answer from thetop K answers of different models. Our proposed approach is evaluated on the benchmark VLSP 2021-MRC SharedTask challenge dataset UIT-ViQuAD 2.0 [3] shows that our approach is significantly better than the baseline.
Student and Teacher Perceptions of Features in an English Textbook for Junior High School

Textbooks have been found to have weaknesses, affecting the curriculum, approaches, methods, and teaching materials. Therefore, changes need to be made to achieve maximum learning outcomes. The objective of the study was to investigate the perception of teachers and students towards English teaching materials that followed a pragmatic perspective as a learning resource to build the communicative competence of junior high school students. Quantitative research with data collection using a 5-scale Linker questionnaire was used to measure the English for Junior High School Students: Pragmatics Based textbook. There were 9 teachers and 82 students who filled out 20 questions about their perceptions. The results showed that the teacher’s perceptions were: feasibility of content/material (61%), presentation in books (63%), language (59%) and dialogue content conformity (50%). Meanwhile, the student’s perception questions included adjustments to students’ abilities. These were the vocabulary used in the book, dialogues contained in the book, easy-to-understand instructions and exercises. The results showed that 50% of student respondents felt that the textbook was very appropriate. Hence, it can be concluded that the content of the English textbook with a pragmatic perspective was appropriate for seventh grade junior high school students in Semarang.&#x0D; Keywords: Textbooks, Pragmatics, Perceptions, Junior High School
Peningkatan Prestasi Belajar Bahasa Inggris pada Pokok Bahasan Narrative Reading melalui Media Gambar di Madrasah Aliyah Negeri 4 Sleman

This study discusses the use of image media to increase students' understanding and activeness in learning English on the subject of narative reading. This research was conducted on class XI social studies 3 MAN 4 Sleman students with a total of 17 students. The method used in this study is a class action research method. Each cycle goes through the stages of planning, execution, observation, and reflection. From the results of the first cycle research, students who obtained a score of &gt; 70 were 50.58% with sufficient categories. The test results in cycle II of students who obtained a score of &gt; 70 were 100% with an active category. The use of image media successfully optimizes students' ability to understand narrative text and increases the effectiveness of student learning.
Penerapan Otomasi Perpustakaan di MA Ma’arif 1 Punggur

Abstract: Information technology can be used to support activities in various sectors without exception in the field of education. The teaching and learning process in schools is strongly supported by the availability of facilities. Facilities support students in achieving learning objectives. One of the most important facilities to support learning activities in schools is the library. In its management, library functions can be achieved optimally if there is a system to simplify activities in the library. A good library management management system can certainly improve services in school libraries. One form of information technology application for libraries is library automation. The solution to the problem in the form of library automation is expected to be able to assist librarian in carrying out library management. This library automation can also be an important point in providing school facilities and infrastructure, which in turn can be used for school accreditation.Community service activities for the target school scheme with library automation training activities at MA Ma'arif 1 punggur are the availability of software on computers used in libraries as tools used for library automation with features used in the form of book collections (bibliography), library membership and circulation
ACI Automation and Programmability

If you made your way to this last chapter through the whole book, congratulations and great job! I sincerely hope you learned a lot, and ACI is becoming (if not already) a strong part of your skill set. Maybe you incline a lot (like me) to network programmability, automation, software development, or the DevOps philosophy, and you have jumped here earlier, before finishing all the chapters, which is also perfect! If you are entirely new to ACI, though, I definitely recommend starting with building the solid basics first, as I expect at least a basic understanding of ACI structure, objects, and their usage for this chapter. In the upcoming pages, we will dive deeper together into a number of exciting and important topics related to ACI’s programmability features, highly improving its provisioning speed, operation, change management, and troubleshooting.
Digital Literacy and Life Satisfaction of Older Adults in the New Normal Era

Advanced information and communication technology (ICT), such as the internet, computers, smartphones, various applications, and kiosk order systems, plays a significant role in the lives of older adults. However, more information is needed about the relationship between their digital literacy and life satisfaction in the new normal. Thus, this study aims to examine the effects of digital literacy on life satisfaction in later life. Descriptive and regression analyses were conducted with the Survey on Korean older adults’ life status in 2020. Results from the secondary data analysis showed a significant association between the specific part of digital literacy and general life satisfaction. Significant implications for researchers and practitioners are discussed in this paper based on the research findings.
Reflected Cross Site Scripting

Cross-Site Scripting, also called as XSS, is a type of injection where malicious scripts are injected into trusted websites. When malicious code, usually in the form of browser side script, is injected using a web application to a different end user, an XSS attack is said to have taken place. Flaws which allow success to this attack are remarkably widespread and occur anywhere a web application handles the user input without validating or encoding it. A study carried out by Symantec states that more than 50% of the websites are vulnerable to the XSS attack. Security engineers of Microsoft coined the term “Cross-Site Scripting” in January of the year 2000. But even if it was coined in the year 2000, XSS vulnerabilities have been reported and exploited since the beginning of 1990’s, whose prey have been all the (then) tech-giants such as Twitter, Myspace, Orkut, Facebook and YouTube. Hence the name “Cross-Site” Scripting. This attack could be combined with other attacks such as phishing attack to make it more lethal but it usually isn’t necessary, since it is already extremely difficult to deal with from a user perspective because in many cases it looks very legitimate as it’s leveraging attacks against our banks, our shopping websites and not some fake malicious website.
Methodological Approach to Optimization of the Precipitation Estimated Frequency

While designing drainage systems and storm water drainage networks, the estimated frequency of the intensity of atmospheric precipitation are assumed empirically, taking into consideration years-long operation of such structures. The issue of determination of the estimated frequency of the atmospheric precipitations’ intensity, based on the objective criteria, is reviewed in the article. For the settlements chosen at random (three for drainage networks and three for the storm water drainage network), with different characters of the curve of the estimated frequency of precipitation intensity, calculation was carried out and the unitary cost was determined. Based on these data the graphs of the precipitation dependence of the intensity on the frequency and dependence of the unitary price on the intensity of precipitations are plotted. Combination of the graphs gives the estimated value of frequency.
REVIEW ON SMART CITY IOT SECURITY USING BLOCKCHAIN

Blockchain has grown in popularity as a crypto currency in recent years. It can also be used to secure IoT devices, helping to keep personal information private. Cities are becoming smarter these days thanks to IT and IoT devices, yet the data they generate is insecure due to IoT devices' limited processing capability. This is where blockchain comes in to secure the IoT data it generates. Blockchain and smart cities are still in their infancy, thus further study is required to integrate them. This study examines the challenges of implementing IoT security in smart cities using blockchain.
Tensor slicing and optimization for multicore NPUs

Although code generation for Convolution Neural Network (CNN) models has been extensively studied, performing efficient data slicing and parallelization for highly-constrai\-ned Multicore Neural Processor Units (NPUs) is still a challenging problem. Given the size of convolutions' input/output tensors and the small footprint of NPU on-chip memories, minimizing memory transactions while maximizing parallelism and MAC utilization are central to any effective solution. This paper proposes a TensorFlow XLA/LLVM compiler optimization pass for Multicore NPUs, called Tensor Slicing Optimization (TSO), which: (a) maximizes convolution parallelism and memory usage across NPU cores; and (b) reduces data transfers between host and NPU on-chip memories by using DRAM memory burst time estimates to guide tensor slicing. To evaluate the proposed approach, a set of experiments was performed using the NeuroMorphic Processor (NMP), a multicore NPU containing 32 RISC-V cores extended with novel CNN instructions. Experimental results show that TSO is capable of identifying the best tensor slicing that minimizes execution time for a set of CNN models. Speed-ups of up to 21.7\% result when comparing the TSO burst-based technique to a no-burst data slicing approach. To validate the generality of the TSO approach, the algorithm was also ported to the Glow Machine Learning framework. The performance of the models were measured on both Glow and TensorFlow XLA/LLVM compilers, revealing similar results.