Reviewerly/exHarmony huggingface dataset:
User Requirements

Software engineering is as much about teamwork as it is about technology. This introductory textbook covers both. For courses featuring a team project, it offers tips and templates for aligning classroom concepts with the needs of the students' projects. Students will learn how software is developed in industry by adopting agile methods, discovering requirements, designing modular systems, selecting effective tests, and using metrics to track progress. The book also covers the 'why' behind the 'how-to', to prepare students for advances in industry practices. The chapters explore ways of eliciting what users really want, how clean architecture divides and conquers the inherent complexity of software systems, how test coverage is essential for detecting the inevitable defects in code, and much more. Ravi Sethi provides real-life case studies and examples to demonstrate practical applications of the concepts. Online resources include sample project materials for students, and lecture slides for instructors.
Use Cases

Software engineering is as much about teamwork as it is about technology. This introductory textbook covers both. For courses featuring a team project, it offers tips and templates for aligning classroom concepts with the needs of the students' projects. Students will learn how software is developed in industry by adopting agile methods, discovering requirements, designing modular systems, selecting effective tests, and using metrics to track progress. The book also covers the 'why' behind the 'how-to', to prepare students for advances in industry practices. The chapters explore ways of eliciting what users really want, how clean architecture divides and conquers the inherent complexity of software systems, how test coverage is essential for detecting the inevitable defects in code, and much more. Ravi Sethi provides real-life case studies and examples to demonstrate practical applications of the concepts. Online resources include sample project materials for students, and lecture slides for instructors.
Design and Architecture

Software engineering is as much about teamwork as it is about technology. This introductory textbook covers both. For courses featuring a team project, it offers tips and templates for aligning classroom concepts with the needs of the students' projects. Students will learn how software is developed in industry by adopting agile methods, discovering requirements, designing modular systems, selecting effective tests, and using metrics to track progress. The book also covers the 'why' behind the 'how-to', to prepare students for advances in industry practices. The chapters explore ways of eliciting what users really want, how clean architecture divides and conquers the inherent complexity of software systems, how test coverage is essential for detecting the inevitable defects in code, and much more. Ravi Sethi provides real-life case studies and examples to demonstrate practical applications of the concepts. Online resources include sample project materials for students, and lecture slides for instructors.
Introduction

Software engineering is as much about teamwork as it is about technology. This introductory textbook covers both. For courses featuring a team project, it offers tips and templates for aligning classroom concepts with the needs of the students' projects. Students will learn how software is developed in industry by adopting agile methods, discovering requirements, designing modular systems, selecting effective tests, and using metrics to track progress. The book also covers the 'why' behind the 'how-to', to prepare students for advances in industry practices. The chapters explore ways of eliciting what users really want, how clean architecture divides and conquers the inherent complexity of software systems, how test coverage is essential for detecting the inevitable defects in code, and much more. Ravi Sethi provides real-life case studies and examples to demonstrate practical applications of the concepts. Online resources include sample project materials for students, and lecture slides for instructors.
Static Checking

Software engineering is as much about teamwork as it is about technology. This introductory textbook covers both. For courses featuring a team project, it offers tips and templates for aligning classroom concepts with the needs of the students' projects. Students will learn how software is developed in industry by adopting agile methods, discovering requirements, designing modular systems, selecting effective tests, and using metrics to track progress. The book also covers the 'why' behind the 'how-to', to prepare students for advances in industry practices. The chapters explore ways of eliciting what users really want, how clean architecture divides and conquers the inherent complexity of software systems, how test coverage is essential for detecting the inevitable defects in code, and much more. Ravi Sethi provides real-life case studies and examples to demonstrate practical applications of the concepts. Online resources include sample project materials for students, and lecture slides for instructors.
Testing

Software engineering is as much about teamwork as it is about technology. This introductory textbook covers both. For courses featuring a team project, it offers tips and templates for aligning classroom concepts with the needs of the students' projects. Students will learn how software is developed in industry by adopting agile methods, discovering requirements, designing modular systems, selecting effective tests, and using metrics to track progress. The book also covers the 'why' behind the 'how-to', to prepare students for advances in industry practices. The chapters explore ways of eliciting what users really want, how clean architecture divides and conquers the inherent complexity of software systems, how test coverage is essential for detecting the inevitable defects in code, and much more. Ravi Sethi provides real-life case studies and examples to demonstrate practical applications of the concepts. Online resources include sample project materials for students, and lecture slides for instructors.
Animation Highlight Extraction for Webtoon Creation

We conducted a study to extract the highlights of animations for webtoon creation. Highlight extraction is an algorithm used to summarize and identify important points in a video content. For webtoon creation based on animation, highlight extraction helps to determine webtoon-cut. Highlight extraction research is being conducted in a wide range of fields; however, in the case of animation, it is difficult to use existing highlight extraction algorithms owing to the lack of texture information and deformities. Therefore, this study aims to analyze the directing elements of animation to find a way to extract animation highlights. To this end, we first introduce a new vector embedding method to extract highlights in animations based on pixel-wise movement sounds. Thereafter, we constructed a classifier using a support vector machine (SVM) and multilayer perceptron (MLP) to determine the animation highlights. Experimental results demonstrated that the classifier using SVM performed better when compared to MLP, and overall, the wide-frame range vector embedding performed better when compared to the small-range vector embedding.
2 Advanced and Heritage Learners of Italian in Mixed Language Classrooms: Methods and Strategies to Teach Derivational Morphology

2 Advanced and Heritage Learners of Italian in Mixed Language Classrooms: Methods and Strategies to Teach Derivational Morphology was published in Second Language and Heritage Learners in Mixed Classrooms on page 29.
Other RDS Databases

For .NET developers, SQL Server is likely the most well-known of the database engines available in RDS. However, it is certainly not the only one! There are five other different relational databases where AWS offers a managed version: MySQL, MariaDB, PostgreSQL, Amazon Aurora, and Oracle. There are several reasons that you may choose to use one of these other databases, whether it is because of other existing systems that use the database, such as the plethora of applications built on top of the Oracle database, or simply because the cost around the open source databases such as PostgreSQL, MySQL, and MariaDB is much less than what you would pay for an instance of SQL Server as shown in Figure 9-1.
Containerizing

We just went over the processing of taking your applications and moving them to virtual machines in the cloud. In this chapter, we are going to show ways in which you can containerize your applications for deployment into the cloud, the next step in minimizing resource usage and likely saving money. This chapter differs from Chapter 5 in that the previous chapter was a discussion of containers and running them within the AWS infrastructure. This chapter is more practical and based upon getting to that point from an existing noncontainerized application.
Industry 4.0 and Jobs 2030

Today, the world is witnessing a tremendous change from what life was like two years before. Industry 4.0 is already here and making impacts in all aspects of life. It is visible through advances in healthcare, better working conditions, road safety, and a multitude of improved products and services. Even trivial activities such as checking the weather or calling one’s mother has been enhanced with the digital and connected benefits of Industry 4.0. In education, it has opened up a new era with Education 4.0 renovating the ways curricula are set and courses are taught. Most universities have aligned themselves to be in sync with this transformation. As the industry and educational arena gets enhanced, the natural question that arises is about the nature of jobs remaining. Will there be jobs remaining? What will be the status of jobs in 2030? What is the future of our younger generation? Will jobs disappear due to automation? Will humans be needed anymore for any task? Is there any need for anxiety? This chapter is an answer to these questions. It discusses the mission of universities for 2030 and how faculty can be trained to match themselves with Education 4.0 and Curriculum 4.0. The nature of jobs in 2030 is discoursed in detail, and the skills required by students to gain these jobs too are detailed. The chapter reinforces the belief that jobs are not going to be lost—rather, it is the nature of jobs that will be changed.
Technologies, Challenges, and Tools for Education 4.0

Industry 4.0 is all about a fully interconnected society with connected cyber-physical systems fueled by the Internet of Things (IoT) and powered by data. The field of education cannot remain blind to this revolutionary change, and hence, it has to adapt itself to Education 4.0, making students—the future citizens—confident to face the volatile, uncertain, complex, and ambiguous (VUCA) world. Education 4.0 is all set to reform the higher education scenario. To unleash the maximum potential out of it, this chapter discusses the tools and technologies needed for Education 4.0 and reinstates that the traditional ways of teaching and learning should be transformed. Digital education and digital learning should be implemented. Not just students, but teachers too should be equipped to face this transformation. The teaching process itself should change from conventional ways to the new-age ways of blended learning, augmented learning, flipped classrooms, and the like whereby online learning is given ample importance. The latest developments in the industry, now known as Industry 4.0, are influencing the educational domain, too. The use of artificial intelligence, sensors, IoT, biometrics, and cloud computing is revolutionizing the way education is imparted today.
Automated Security Monitoring

Security monitoring is the automated process of collecting and analyzing potential security threats and taking appropriate actions to create secure applications. Nowadays, more and more companies are entering the market with cloud adoptions. Monitoring this cloud workload is a must in order to create secure and safe applications.
Backup and Restore

Now that we understand what the MySQL Database Service (MDS) is and how to create and connect to DB Systems in MDS we are almost ready to start using them in our projects and applications. However, there is one important feature that must be considered before planning integration with MDS and that is how to backup and restore our data.
Security Processes

Every modern enterprise uses a large amount and variety of data to work on various data-driven initiatives. Having various security processes in place is a must in order to properly and safely use data and create business insights from it.
Getting Started with MySQL in the Cloud

The cloud age has been upon us for some time. It is a glorious vision where we no longer need to design, build, and staff enormous rooms full of very expensive computing equipment that needs round-the-clock attention and maintenance by a highly trained trusted staff. The ultimate goal is lower cost and higher capability. This has led to a rapid growth in cloud solutions and cloud providers.
MySQL Database Service

If you are new to MySQL and read through the last chapter, you are now familiar enough with MySQL to appreciate its power and simplicity. However, if you are a long-term MySQL user and you’ve built your own MySQL servers into your infrastructure, chances are you are well aware of the effort needed to manage your MySQL servers. What the world has needed for some time is a fully managed cloud-based MySQL service that runs in a secure environment with the backing of a cloud vendor that provides real-time management of the service to ensure your database needs are fully fulfilled and reliable. That day has come, and it is the MySQL Database Service running on the Oracle Cloud Infrastructure owned and managed by Oracle.
Infrastructure Security Patterns

Organizations typically focus on building applications and data-driven software to harvest the value from their data. To create secure and reliable applications, setting up an infrastructure is a must. Security configurations must be done correctly in order to ensure that the applications function correctly, without any vulnerabilities or security concerns.
A Brief Tutorial of MySQL

Perhaps you’ve never used a database system before or maybe you’ve used one as a user but have never had any need to set up one from scratch. Or perhaps you’ve decided to discover what all the fuss is about database systems in general.
Introduction: Dimensions of Cloud Security

Cloud adoption is a strategic move that enterprises take to optimize cost, mitigate risk, create scalable infrastructures, and build enterprise-ready applications. Different organizations can adopt different depths of cloud security, depending on their best practices.
Experiences with on-premise open source cloud infrastructure with network performance validation

When looking at cloud computing, aside from the commercial solutions like Amazon Web Services and Microsoft Azure, there are also promising open source alternatives. In this paper, our hands-on experiences are summarized with consuming, deploying and managing an on-premise Infrastructure as a Service (IaaS) cloud solution based on the open source OpenStack platform in combination with Ceph as a distributed storage solution. We introduce means on how to achieve high-availability of this small-scale on-premise cloud infrastructure solution and provide network architecture and storage recommendations. Finally, performance measurements of these network and storage solutions are presented, indicating observable throughput and latency differences between the various configurations.
Towards a comprehensive perspective to making learning a part of life: a response to Fischer <i>et al.</i>'s contribution

Purpose This response paper aims to comment on specific aspects of the position paper. Design/methodology/approach In this paper, the author presents a response to Fischer et al. 's contribution on “The Challenge for the Digital Age: Making Learning a Part of Life.” While imperatives and narratives of learning in the future have been well articulated in the literature, their paper provides insights into lifelong learning in the digital age. Findings The author raises comments on the comprehensiveness of the lifelong learning perspectives and the calls to action. Over the years, with multiyear efforts on the research-based evolution of the design, implementation and adoption of technology-supported learning environments in some parts of the world, the author believes well-researched innovative pedagogy and design principles have already to some extent impacted transformation of learning and teaching in normal schools. By referring to the work in the running of a model school in Taiwan, the author demonstrate some of the pathways that can guide innovation and work towards operationalizing a futuristic vision that is resonant with the one painted in the paper. The paper will end with some comments on how narratives on the future of learning will evolve. Originality/value In trying to understand the lens that the vision would bring to learning on the digital edge, the author has provided commentaries to probe into the comprehensiveness of their vision of future learning. From an Asian perspective, the author describes one effort that can help make progress in moving towards this vision. It involves realizing the vision by grounding our designs in real experiments or instantiations, such as the interest-driven creator (IDC) experimental school in Taiwan, and highlight past research efforts which have been successful in transformation of classrooms and schools such as developing seamless learning for connecting learning in different spaces afforded by mobile digital devices.
Analysis and Acquisition of APFS Data from a Forensic Perspective

In recent years, the use of communication devices such as computers and smartphones has become indispensable in most people’s lives, and the number of people using Apple’s products has increased. This means that analysis of APFS, Apple’s file system today, is becoming increasingly important in a digital forensic investigation environment. However, many studies have been conducted on existing file systems, and detailed information such as where data is located can be found and how to recover the deleted data. In APFS, information about user credentials, usage history, and downloaded files remains artifacts. Currently, however, study of APFS is focused on file recovery. Therefore, in this paper, we not only propose a method to recover deleted files, but also analyze and organize the important artifacts for digital forensics investigation. We also describe the applicability of existing HFS + methods to APFS. Lastly, We describe the applicability of this analytical method and discuss further research.
Study of Contribution Verifiability for Privacy-preserving Federated Learning

Base on the computing device revolution and big data, deep learning has been widely applied to solve any problem. However, originally neural network is not applicable to decentralized collaborative systems when data owners do not like to expose their own data. Nowadays, federated learning, which can train models decentralized, has brought attention since it only releases gradients. Nevertheless, to solve the problem that the shared gradient still retains some sensitive information of real data, privacy-preserving federated learning (PPFL) can aggregate the gradients submitted from collaborators without exposing any knowledge of these gradients. However, in the procedure of PPFL, some gradients may be dropped intentionally or unintentionally, such that collaborators cannot contribute effective gradients. In addition, checking for model tampering has become impossible in PPFL. This paper provides contribution verification that allows users to confirm that their own gradients are aggregated to the global model in PPFL. The proposed method is compatible with any gradient-descent-based federated learning.
Gradient Deep Learning Boosting and Its Application on the Imbalanced Datasets Containing Noises in Manufacturing

Imbalanced datasets are usually a challenge on classification tasks, especially in the manufacturing industry. These skewed class distributions bring out the poor performance in traditional machine learning algorithms. In addition, most of the collected datasets contain noises that make the analysis process even harder. The noises could be the missing data or irrelevant variables in the datasets. Dealing with these noisy datasets remains an important step in data analysis. For these two reasons, we propose a Gradient Deep Learning Boosting (GDLB) model to deal with imbalanced datasets containing noises in the classification task. In dealing with noise, we use the Imputation transformer for handling the missing data and deployed the Random forest method for features selection. The two benchmark datasets named SECOM and DAIWM are implemented to prove our proposed method’s performance. Those are particular imbalance datasets containing noise. Our proposed method had an accuracy, recall, Matthews correlation coefficient, and Area under the curve of 0.87, 0.70, 0.32, and 0.79, respectively on the SECOM dataset. On the other hand, on the DAIWM dataset, our proposed method achieves 0.91, 0.83, 0.56, and 0.87 respectively. We found that the combination of proposed Gradient Deep Learning Boosting and handling noises is a prospective model for imbalanced datasets.
Psychological and pedagogical factors of international students’ adaptation in the Kazakh higher education system

This study aimed to assess the adaptability and anxiety of international students of the first and fourth years to study in [BLINDED] University, Kazakhstan. The study relied on questionnaires for assessing adaptability (SACQ questionnaire) and anxiety (based on the technique developed by Spielberger and Khanin). The results show a correlation between anxiety and adaptability. Most first-year students have anxiety and adaptability at average and below-average levels. Fourth-year students have high adaptability scores and low anxiety scores. The results show that programs for international students at [BLINDED] University positively impact students, and there are essential in the university’s work. The anxiety and adaptability levels of the fourth-year students are expected and can be explained by natural habituation after time and the influence of programs for overcoming various adaptation barriers.
Testbed capabilities to catalyze NISQ processor applications.

for future designs. Using our methodology, we propose scalar (QUASAR) and vector (qV) quantum ISAs as extensions and compare them with other ISAs in metrics such as circuit encoding efficiency, the ability to meet real-time gate cycle requirements of quantum chips, and the ability to scale to more qubits.
Design and Implementation of IoT-Based System for Tracking and Monitoring of Suspected COVID-19 Patient

Coronavirus is the most challenging threat today in our society. This virus has caused a huge number of deaths worldwide. Experts are still searching for an effective and long-term vaccine. In the present scenario, people are relying on wearing mask, self-quarantine, social-distancing and sanitizing hands for defending this infectious coronavirus. The health-care units, academicians, researchers and governments as well as business houses are trying their level best to prevent the spread of this disease. In this paper, design and implementation of an Internet of Things (IoT)-based smart and cost-effective system for tracking and monitoring of COVID-19 suspected patients have been introduced. Proposed system has significant social impact as it can be used to reduce the chances of community transmission of this deadly virus. Proposed reusable cost-effective system can help the hospital and local authority to monitor and track the movement of quarantined people.