bluuebunny/crossref_metadata_2025 huggingface dataset:
Additions to the cuckoo wasps (Hymenoptera, Chrysididae) of Mongolia, with description of eleven new species
Authors: Rosa Paolo , Proshchalykin Maxim Yu. , Halada Marek
Published: November 2021

An addendum to the recent checklist of the Chrysididae from Mongolia is given. Examination of old museum material and recently collected specimens has led to the discovery of eight new records for the country and eleven new species for science. Eight species are newly recorded from Mongolia:Chrysis inclinataLinsenmaier, 1959,C. martinelladu Buysson, 1900,C. speciosaRadoszkowski, 1877,Euchroeus purpuratus(Fabricius, 1787),Holopyga lucida(Lepeletier, 1806),H. similisMocsáry, 1889,Hedychridium femoratum(Dahlbom, 1854) andH. lelejiRosa, 2017. Two species,Hedychridium cupreum(Dahlbom, 1845) andH. propodealeRosa, 2017 are excluded from the checklist of Mongolian Chrysididae: the former is described here asH. erythrosomasp. nov., the latter is identified asH. lelejiRosa, 2017. The hitherto unknown male ofChrysis mocsaryiRadoszkowski, 1889 is described and illustrated. Eleven new species are described:Chrysis strakaisp. nov.,C. woodisp. nov.,Hedychridium erythrosomasp. nov.,H. frontalesp. nov.,H. jacobsisp. nov.,H. splendenssp. nov.,H. striatumsp. nov.,H. varvaraesp. nov.,H. weiisp. nov.,Holopyga tyrnerisp. nov., andPhiloctetes borekisp. nov.Keys to males and females of all known Mongolian species ofHedychridiumAbeille de Perrin, 1878 are provided. The Mongolian cuckoo wasp fauna now comprises 107 species in 18 genera and two subfamilies.
Lower bounds for Orlicz eigenvalues
Authors: Salort Ariel
Published: November 2021

In this article we consider the following weighted nonlinear eigenvalue problem for the \begin{document}$ g- $\end{document}Laplacian

   \begin{document}$ -{\text{ div}}\left( g(|\nabla u|)\frac{\nabla u}{|\nabla u|}\right) = \lambda w(x) h(|u|)\frac{u}{|u|} \quad \text{ in }\Omega\subset \mathbb R^n, n\geq 1 $\end{document}

with Dirichlet boundary conditions. Here \begin{document}$ w $\end{document} is a suitable weight and \begin{document}$ g = G' $\end{document} and \begin{document}$ h = H' $\end{document} are appropriated Young functions satisfying the so called \begin{document}$ \Delta' $\end{document} condition, which includes for instance logarithmic perturbation of powers and different power behaviors near zero and infinity. We prove several properties on its spectrum, being our main goal to obtain lower bounds of eigenvalues in terms of \begin{document}$ G $\end{document}, \begin{document}$ H $\end{document}, \begin{document}$ w $\end{document} and the normalization \begin{document}$ \mu $\end{document} of the corresponding eigenfunctions.

We introduce some new strategies to obtain results that generalize several inequalities from the literature of \begin{document}$ p- $\end{document}Laplacian type eigenvalues.
Lumpy Durable Consumption Demand and the Limited Ammunition of Monetary Policy
Authors: McKay Alisdair , Wieland Johannes F.
Published: November 2021

The prevailing neo‐Wicksellian view holds that the central bank's objective is to track the natural rate of interest (
r
*), which itself is largely exogenous to monetary policy. We challenge this view using a fixed‐cost model of durable consumption demand, in which expansionary monetary policy prompts households to accelerate purchases of durable goods. This yields an intertemporal trade‐off in aggregate demand as encouraging households to increase durable holdings today leaves fewer households acquiring durables going forward. Interest rates must be kept low to support demand going forward, so accommodative monetary policy today reduces
r
* in the future. We show that this mechanism is quantitatively important in explaining the persistently low level of real interest rates and
r
* after the Great Recession.
All the World's a Stage
Authors: Grant Brian S.
Published: November 2021

This chapter provides a case study where a systematic, organized method of storytelling, presented as the Story-based Learning model, is used to design a series of integrated and engaging activities for cybersecurity training (to protect computer systems and networks) that fosters deliberate practice and improves performance. To address the talent shortage in the global cybersecurity workforce, the client developed a blended curriculum designed to provide practical experience to prospective cybersecurity professionals. A key component of this curriculum was the capstone exercises, activities focused on application of the content introduced in the courseware. Essentially, this is a story of using stories, one of humanity's oldest technologies, to solve the problem of training and cultivating expertise in future cybersecurity personnel. Based on solid prior evidence supporting the use of stories to increase engagement and retention, this case study focuses on detailing the thought process used to reach this set of solutions, as captured by the Story-based Learning model.
A Practical Exploration of Cybersecurity Faculty Development With Microteaching
Authors: Burrell Darrell Norman , Dattola Ashley , Dawson Maurice E. , Nobles Calvin
Published: November 2021

The growth and development of cybersecurity jobs and careers have created a need for new skilled faculty that can effectively teach the appropriate content to students at all levels. Often instructors are hired based on their academic credentials and professional experience without the use of assessment and faculty development methods to discover if these instructors can teach effectively or even improve the way they teach. Effective instructors have the ability constructively adjust teaching approaches when students are excelling or struggling based on skillful observation and constant assessment. If a student learns something with great ease, perhaps that approach would be of benefit to others. Part of what helps novices develop expertise here is their explicit attempt to understand how and why something works for students. The implementation and use of microteaching can provide a quality improvement approach to help cybersecurity instructors on all levels improve their ability to teach effectively.
The Three-Dimensional Model for a Community
Authors: White Gregory B. , Sjelin Natalie
Published: November 2021

The community cyber security maturity model (CCSMM) was designed and developed to provide communities with an action plan to build a viable and sustainable cybersecurity program focused on improving their overall cybersecurity capability. Not long after the initial development of the model, it was realized that there are intertwined relationships that needed to be addressed. This drove the creation of the three-dimensional model broadening the scope to include individuals, organizations, communities, states, and the nation. This chapter will provide an overview of the development and importance of the 3-D model and will describe the scope areas that were included.
An Analysis of Tourism Opportunities and Challenges Post COVID-19 Between India and Southeast Asia
Authors: Duggal Munish Kumar , Kaur Harpreet
Published: November 2021

This chapter attempts economic analysis of the impact of COVID-19 on the economies of Southeast Asia and India. The impact on tourist footfalls, tourism revenues, national GDPs, and employment will be focused on. The challenges thrown by COVID-19 relating to safety, hygiene, mindshare, and digital tools could help evolve a structurally different tourism landscape in the post-COVID-19 world. Long haul travel may not happen soon, and the countries must develop products incorporating proximity tourism, vaccine tourism, and domestic tourism. Intra-ASEAN travel will have to be developed further to offset the losses caused by the curtailment of long-haul travel. Historical and cultural linkages between Southeast Asia and India should be leveraged to extend Intra-ASEAN travel to the Northeastern States of India. This would create a win-win situation for Southeast Asia as well as India. Targeted investments and subsidies aimed at confidence building of travelers and other stakeholders will go a long way to minimize the economic impact of external shock caused by COVID-19.
Transform Learning With EdTech in the Elementary Classroom
Authors: Lim Becky
Published: November 2021

Transformative educational technology (EdTech) is a practice in education that improves student learning by implementing real-world, authentic tasks and activities that would not be achievable without the use of technology. Over the past decade, there has been a rapid increase in EdTech in the classroom, yet teachers still lack clarity and uncertainty around creating engaging and meaningful technology-integrated lessons. The focus of this chapter is on the practice of creating real-world, authentic lessons with the use of technology for elementary teachers. This chapter provides an overview of EdTech in the current educational system, technology integration frameworks to support teacher growth towards transformation with technology, and suggestions to guide educators in implementing research-based strategies for lessons and assessments.
Stop Saying Virtual Learning Does Not Work
Authors: Campbell Paula Simone , Arrastía-Chisholm Meagan , Torres Kelly M.
Published: November 2021

Based on the experience of an early childhood educator and the current scholarly research, this chapter describes what can be done to effectively teach K-3 students from a distance. From the learning management systems that forgot to optimize their servers for an onslaught of hundreds of thousands of more students, to the schools that wanted to reopen but could not afford to buy air purifiers any more than they could buy soap or toilet paper for student bathrooms, no one in U.S. schools was prepared for the COVID-19 pandemic. Stakeholders need to stop saying virtual learning does not work for these students, and implement effective strategies moving forward. In this chapter, the current literature on online learning is reviewed as a guide for effective K-3 teaching, and examples are provided of successful tools from experiences of the authors as K-3 teachers and parents.
Proficient Erudition of Pedagogues and Administrants for Integrated and Online Learning
Authors: T. Gopikrishnan , Prakash Om , A. Karpagaraj
Published: November 2021

The knowledge about integrated and online learning to the educators and administrators needs to be elaborated to have a reliable education system. Online learning and integrated learning can be combined to provide a conglomerate effect on learning. The online system can be adapted to computer-based courses, and an integrated system can be adapted for engineering, arts, and science courses. Socioeconomic conditions are beyond control, but it is the basic criteria for human living. Teaching via the internet is remote learning where the learner will be learning at a convenient time and pace. Digital teaching and learning material preparation and creation of the digital library are discussed. The topics related to online learning such as hybrid courses, international reach, psychological counselling, online abhorrence, online threats, augmented and virtual reality, supporting infrastructure with training, assessment, administer roles, and adaptability are elaborated.
Distance and Blended Learning
Authors: Mavengano Esther , Marevesa Tobias
Published: November 2021

The upsurge of the coronavirus disease has prompted a pedagogical paradigm shift from the traditional face-to-face to distance and blended learning for all institutions of learning worldwide and Zimbabwe in particular. The chapter focuses on the best practices in distance and blended learning in Zimbabwe in the context of the COVID-19 pandemic. The chapter argues that educational institutions be creative and come up with best pedagogical practices appropriate to distance and blended learning models. This chapter is informed by insights from David Kolb's experiential learning theory that privileges learner-centered approaches where learners draw from personal experiences in the learning process. It has emerged that the outbreak of the COVID-19 has negatively impacted on educational practices globally and Zimbabwe in particular. COVID-19 has ushered in a novel pedagogical trajectory that could benefit the educational future globally and Zimbabwe in particular.
Machine Learning for Malware Analysis
Authors: Yadav Krishna , Sethi Aarushi , Kaur Mavneet , Perakovic Dragan
Published: November 2021

Companies and organizations are collecting all sorts of data ranging from nominal feedback like customer reviews to highly classified data like medical records. With data being such a critical aspect of most of the operations around us, cybercriminals are looking for an opportunity to misuse this information. One such device that cybercriminals use to further their malicious intent is malware. Over the years, these cybercriminals have become immensely powerful using the knowledge of previous attacks. Hence, malware analysis and methods to troubleshoot the problems arising due to malware attacks is the need of the hour. Over time, different new approaches have been developed to defend malware. However, in recent times, machine learning-based malware analysis has gained popularity. The capacity to detect possible future malware by learning from existing malware patterns makes this method very popular. In this chapter, the authors have introduced different malware and the machine learning-based approach that has been developed in recent times to mitigate malware.
Research Trends for Malware and Intrusion Detection on Network Systems
Authors: Smmarwar Santosh Kumar , Gupta Govind P. , Kumar Sanjay
Published: November 2021

With more uses of internet-based services, the risk of cyberattacks is growing continuously. To analyze these research trends for malware and intrusion detection, the authors applied the topic modeling approach in the study by using the LDA (latent dirichlet allocation) and calculating the maximum and minimum probability of the words, which appears in the large collection of text. The LDA technique is useful in finding the hidden topics for further research in the areas of network and cybersecurity. In this chapter, they collected the abstract of two thousand papers from the Scopus library from 2014 to 2021. These collected papers are from reputed publications such as Elsevier, Springer, and IEEE Transactions. The main aim of this study is to find research trends based on keywords that are untouched or on which less research work has been done. To the best of the authors' knowledge, this will be the first study done by using the LDA technique for topic modeling in the areas of network security to demonstrate the research gap and trends for malware and intrusion detection systems.
The Era of Advanced Machine Learning and Deep Learning Algorithms for Malware Detection
Authors: Chui Kwok Tai , Ordóñez de Pablos Patricia , Lytras Miltiadis D. , Liu Ryan Wen , Shen Chien-wen
Published: November 2021

Software has been the essential element to computers in today's digital era. Unfortunately, it has experienced challenges from various types of malware, which are designed for sabotage, criminal money-making, and information theft. To protect the gadgets from malware, numerous malware detection algorithms have been proposed. In the olden days there were shallow learning algorithms, and in recent years there are deep learning algorithms. With the availability of big data for training of model and affordable and high-performance computing services, deep learning has demonstrated its superiority in many smart city applications, in terms of accuracy, error rate, etc. This chapter intends to conduct a systematic review on the latest development of deep learning algorithms for malware detection. Some future research directions are suggested for further exploration.
Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques
Authors: Perales Gómez Ángel Luis , Fernández Maimó Lorenzo , Huertas Celdrán Alberto , García Clemente Félix Jesús
Published: November 2021

In the last decades, factories have suffered a significant change in automation, evolving from isolated towards interconnected systems. However, the adoption of open standards and the opening to the internet have caused an increment in the number of attacks. In addition, traditional intrusion detection systems relying on a signature database, where malware patterns are stored, are failing due to the high specialization of industrial cyberattacks. For this reason, the research community is moving towards the anomaly detection paradigm. This paradigm is showing great results when it is implemented using machine learning and deep learning techniques. This chapter surveys several incidents caused by cyberattacks targeting industrial scenarios. Next, to understand the current status of anomaly detection solutions, it analyses the current industrial datasets and anomaly detection systems in the industrial field. In addition, the chapter shows an example of malware attacking a manufacturing plant, resulting in a safety threat. Finally, cybersecurity and safety solutions are reviewed.
A Survey on Emerging Security Issues, Challenges, and Solutions for Internet of Things (IoTs)
Authors: Khan Anish , Peraković Dragan
Published: November 2021

The internet of things is a cutting-edge technology that is vulnerable to all sorts of fictitious solutions. As a new phase of computing emerges in the digital world, it intends to produce a huge number of smart gadgets that can host a wide range of applications and operations. IoT gadgets are a perfect target for cyber assaults because of their wide dispersion, availability/accessibility, and top-notch computing power. Furthermore, as numerous IoT devices gather and investigate private data, they become a gold mine for hostile actors. Hence, the matter of fact is that security, particularly the potential to diagnose compromised nodes, as well as the collection and preservation of testimony of an attack or illegal activity, have become top priorities. This chapter delves into the timeline and the most challenging security and privacy issues that exist in the present scenario. In addition to this, some open issues and future research directions are also discussed.
Cybersecurity Risks Associated With Brain-Computer Interface Classifications
Authors: López Bernal Sergio , Huertas Celdrán Alberto , Martínez Pérez Gregorio
Published: November 2021

Brain-computer interfaces (BCIs) have experienced a considerable evolution in the last decade, expanding from clinical scenarios to sectors such as entertainment or video games. Nevertheless, this popularization makes them a target for cyberattacks like malware. Current literature lacks comprehensive works focusing on cybersecurity applied to BCIs and, mainly, publications performing a rigorous analysis of the risks and weaknesses that these interfaces present. If not studied properly, these potential vulnerabilities could dramatically impact users' data, service availability, and, most importantly, users' safety. Because of that, this work introduces an evaluation of the risk that each BCI classification already defined in the literature presents to raise awareness between the readers of this chapter about the potential threat that BCIs can generate in the next years if comprehensive measures, based on standard mechanisms, are not adopted. Moreover, it seeks to alert academic and industrial stakeholders about the impact these risks could have on future BCI hardware and software.
Safety and Security in Tourism
Authors: Stankova Mariya Zl
Published: November 2021

Every person has the right to live and work in a safety and equitable environment. This is one of the principal priorities of the United Nations since 1948, and it is protected by the International Labour Organization through a significant number of documents, regulating the health and safety matters in the work environment. Of particular interest, however, is the consideration of this topic in relation to tourism. The fact is that another human right is that of travel. Therefore, it is important to discuss the possibilities for assuring the health and safety of tourist providers and tourists. Putting that on focus, this chapter is pointed over the clarification of the tourism industry specifics, using a multidisciplinary approach for formalization of uncertainty at the tourism destination level related to the special case of Bulgaria, assuring safety, health, and security of all the people involved.
Circular Economy as a New Sustainable Development Paradigm
Authors: Petrović-Ranđelović Marija , Radukić Snežana
Published: November 2021

This chapter examines the role and importance of the circular economy for achieving the goals of sustainable development. Accordingly, the direct and indirect impact of circular economy practices on the realization of the goals of sustainable development according to Agenda 2030 was analyzed. In particular, this chapter focuses on the relationship of the concept of circular economy and the Sustainable Development Goals defined in Agenda 2030 using the example of the Republic of Serbia. The key research findings in this chapter confirm the initial research question and provide the answers to the raised questions and issues. The recommendation is that the activities of the competent state authorities in the Republic of Serbia should be directed towards eliminating the information gap, strengthening institutional capacities, and creating strategic documents. This is a necessary prerequisite to enable a quantitative analysis of the verification of the results achieved in this area in the Republic of Serbia and to make comparisons with the best performing countries.
Interplay Between Welfare Policies, Job Conditions, and Employee Well-Being
Authors: Veršič Sabina , Markič Mirko , Bukovec Boris , Gorenc Zoran Annmarie
Published: November 2021

This chapter examines the relationship between welfare policies, job conditions, and employee well-being. The main objective is to determine the welfare policies and identify the most useful measures for improving employee well-being and identify workplace conditions that affect employee well-being. Existing research in employee well-being focuses on identifying how one of the main areas (welfare policies or job conditions) affects an employee's well-being. However, there is a gap in research on employee well-being and the relationships between welfare policies, job conditions, and employee well-being in Slovenia. Therefore, this chapter aims to provide an overview of how welfare policies and job conditions influence employee well-being in Slovenian organizations. Descriptive quantitative research method was used for the study. Data collection of a survey instrument took place from March to July 2020. The authors used a convenience sampling method to recruit the companies. Results of this research show high levels of job satisfaction related to all aspects.
Counteracting Online Health Misinformation
Authors: Ebrahimi Mahshid
Published: November 2021

The use of internet and new media technologies provide new ways of communicating and online searching for health information. False health-related information as a result of the lack of reliable scientific sources is intentionally or unintentionally created and disseminated and can have negative effects on people's health. The purpose of this study is to identify strategies for counteracting online health misinformation from the perspective of health professionals using content analysis approach. From the analysis, strategies for dealing with the effects of misinformation include training of health staff at all levels, improving public awareness, and filtering or fact-checking. It is revealed that the most important way to cope with health misinformation in cyberspace is to enhance public awareness, which can reduce its detrimental impact to a great extent.
A Model of Human Factors in Cyber Security
Authors: Ebrahimi Maryam
Published: November 2021

Data has become the new trading currency in today's competitive environment. The human factor is still seen as a significant threat through social engineering channels, despite the advanced technological controls implemented by organizations. Companies can implement appropriate technical solutions, but they are still unable to control the human factor. The aim of the chapter is to better understand the role of human factors in information security. For this purpose, it provides a model that focuses on human-security elements including management commitment, skills, experiences, self-efficacy of human resources, and security culture and training as the vulnerable factors in information security issues. Quantitative methodology and statistical technique are used for analysis. Thus, the main contribution of this research is to present a model of human resource factors in information security that can be applied in several case studies, and the results can be compared.
Lies and Deceit vs. Social Capital
Authors: Ryan John
Published: November 2021

Misleading statements and outright lies by governmental figures might reduce economic growth rates and would result in a substantially lower level of economic well-being. The lie is the induction of false belief with the aim of misleading the audience in any way possible. Although a liar knows lying has its costs, he lies in the hope of gaining short-term benefits. Lies accumulated reduce trust, increase transaction costs in the business environment, create dysfunctional balances, all of which are factors in the decline of well-being. The aim of this study is to analyze the economics literature on lies in terms of lying's effects on harming social capital, destroying the expected functions of institutions, increasing transaction costs, and creating asymmetric information.
Surviving Disruption and Uncertainty Through Digital Transformation
Authors: Fan Qiuyan , Ouppara Nipa
Published: November 2021

Digital transformation enables SMEs to reshape their business models to respond to changing consumer needs in today's COVID-19 environment. The aim of this research is to investigate the key factors affecting the success of digital transformation among SMEs in Australia using a qualitative approach. The aspects perceived as important are digital capability and leadership capability. Understanding of digital trends and opportunities as well as strategic directions is a critical factor driving digital transformation. The research findings indicate that the SMEs in Australia are not best placed to leverage digital technology to transform business models, innovate products and services, and revolutionize operations. This research recommends that Australian SMEs embark on digital strategies that enable the transformation and take advantage of digital platform initiatives to employ new business models to boost revenue and improve customer experiences and competitiveness as companies and consumers are moving online and embracing e-commerce and new digital reality.
The Transition of the Pharmaceutical Sector Marketing Activities
Authors: Sarica Pinar Yesim
Published: November 2021

The aim of the study is to understand the change in marketing practices in the pharmaceutical industry in human health during the pandemic process and to reveal the projections for post-marketing strategies in Turkey. With analyzes such as the speed of the industry's adaptation to change, the flexibility of digitalization, the suitability of the existing structure, and the number of employees, future projections have been analyzed on the basis of the evaluations of pharmaceutical sector managers. The environment of the sector that has developed as a result of digitalization has been examined with its positive and negative aspects in terms of employment and employee competencies. As a result, all stakeholders in the pharmaceutical industry are not fully prepared for this process, adapting more slowly than expected in terms of adaptation time. As a living process, the preferences and methods need continuous and regular updating, but it has revealed the fact that digitalization will be passed as a partial and complete final result in its forward-looking predictions.
Interactive Course Design in Online Learning Environments
Authors: Yaman Fatih , Dulkadir Yaman Nihal
Published: November 2021

Education focuses on learning that translates into persistent changes in behavior. Like many other areas of life, the advancements in technology have affected education in multiple ways, and distance education has a prominent place in technology-mediated education. By its very nature, distance education does not require learner and instructor to be in the same physical place. This situation may cause concern about the level and quality of interactions because the interactions in the digital medium may not be directly observable. Considering various types of interaction, interactions within the distance education context should not be limited to learner and instructor interaction. Rather, multiple types of interactions including learner-content, learner-learner, and learner-instructor should be utilized. In this respect, the purpose of this chapter is to exemplify how various elements of interactivity could be used effectively in online courses. Numerous learning management systems are available to offer online courses to distance learners.
Designing and Managing Synchronous and Asynchronous Activities
Authors: Hamutoglu Nazire Burcin , Özdamar Nilgün , Gedik Nuray , Kapkın Engin
Published: November 2021

Education conducted during the COVID-19 pandemic process was limited to emergency remote teaching. The situation brings along the need for the planned and systematic implementation of good practice examples especially in higher education institutions which have started to plan distance education and learning activities in line with their own capabilities. In this study, the educational activity and its reports for the design of online learning environments carried out within the Eskisehir Technical University, Learning and Teaching Development Unit, which focuses on increasing the effectiveness learning and teaching activities in the campus, is presented as an example of best practice. In the current chapter, all implementation steps performed within the scope of the study are introduced and discussed.
An Emerging Trend in Online Instruction
Authors: Polat Hamza , Kayaduman Halil
Published: November 2021

Most of the educational activities moved to online learning environments during the COVID-19 outbreak. The e-flipped classroom model is one of the learning strategies proposed by several researchers to make online instruction more engaging and effective. It is not more than the conventional flipped classroom, but it is the adaptation of that model to the online learning contexts. It includes three instructional phases: pre-class, in-class, and after-class online learning activities. Learners first experience the content—mainly in video lectures—before the live classes. The in-class activities generally include discussion sessions via videoconferencing tools to improve the cognitive skills of learners. Finally, learner performance is assessed after the live classes. These phases should be carefully designed to meet the desired learning outcomes in the e-flipped model. To do so, educators should consider the arguments of several theoretical orientations. This chapter focuses on the e-flipped classroom, an emerging method in online instruction, from different perspectives.
Challenges Experienced in Distance Education and Solution Suggestions During the COVID-19 Pandemic Period
Authors: Kilinc Hakan
Published: November 2021

In this study, which was carried out in order to identify the challenges experienced in distance education during the COVID-19 pandemic period and to propose solutions to these problems, the phenomenology design was used. Twelve experts who had experience of distance education during the COVID-19 period contributed to the study. The findings obtained within the scope of the study show that there are challenges such as the unpreparedness of institutions, insufficient infrastructure, increased digital divide among learners, and difficulties in measurement-evaluation processes and support services processes during the pandemic period. Regarding the solution of these problems, solutions such as investing in infrastructure, revising support services, using teaching techniques suitable for distance education, taking responsibility in learning processes, and changing measurement-evaluation techniques have been presented.
The Challenges and Opportunities of Online Learning for Preservice Teachers During the COVID-19 Pandemic
Authors: Yılmaz Özden Şule , Shinas Valerie Harlow , Ly Chu N. , Hamutoğlu Nazire Burçin
Published: November 2021

The transition to emergency remote teaching in response to the COVID-19 pandemic has opened up important problems of practice in online education to discussion. Since the start of this global health crisis, several studies have documented online education experiences. The aims of the current study were to examine the online learning experiences of preservice teachers from Turkey and the US. Survey items were designed to collect the perceptions and experiences of online learning from preservice teachers enrolled in teacher preparation programs during the 2020-2021 academic year. Statistical data analysis provided insight into participants' views and attitudes toward online learning. Additionally, three open-ended questions were analyzed qualitatively. These provided insight into participants' experiences, the challenges they faced, and the advantages of online learning. Findings suggest that preservice teachers prefer face-to-face teaching even though they recognize and appreciate the value of online learning. Findings also have important implications for future research.
Video Design for Online Courses
Authors: Yünkül Eyup
Published: November 2021

With the widespread use of instructional technology in the classroom environment, learning materials are designed according to the interests and needs of learners at different levels. These materials offer flexibility to learners and teachers about time and space. In the information age we live in, many digital materials are used to make learning more effective and permanent. When it comes to digital material, digital texts, videos, presentations, simulations, and animations come to mind. Videos that appeal to both visual and auditory senses appear as important teaching materials. Educational videos, one of the important digital learning resources, are also used in both traditional teaching and contemporary learning approaches. Many studies have shown that educational videos are a very important learning tool in face-to-face and online learning environments. In this context, the aim of this chapter is to talk about the design of educational videos that can be used in online courses in accordance with the principles of multimedia.
Designing a Conceptual Virtual Medical Research Initiative in the Virtual Reality Environment
Authors: Rao N. Raghavendra
Published: November 2021

Many technologies tend to be applicable only in a specific industry or defined area of operation in business. The case of information and communication technology is different. The potential of information and communication technology in any sphere of activity in any discipline is more useful. Information and communication technology is a driving force in providing a good scope in making use of the various concepts in this discipline for designing models as per the requirements of a particular application. The concepts of cloud computing and virtual reality have proved to be significant particularly in the healthcare sector. This chapter gives an overview of the above concepts and related technology. Further, this chapter explains the case illustrations by adopting the above concepts for designing a virtual medical research initiative in the virtual reality environment.
Pandemic, Panresponsibility, and Pandemonium
Authors: Kazandjian Vahe A.
Published: November 2021

This chapter addresses the epidemiological and social imperatives associated with controlling a public health emergency and preventing outbreaks. Using population behaviors as a determinant of the extent to which events progress to alter populations, geographic regions, or the globe, this chapter borrows from epidemiology and social behavior the author builds on his worldwide to propose the crucial need of having a shared global responsibility. While the impetus of this chapter is the COVID-19 pandemic, the generic predisposing factors and past public health outbreaks are used to place the ravages of the present pandemic into a framework of interpretation as well as for prediction of future events and associated social and public health preparedness. Without the use of analytic methods of inquiry, this chapter addresses the core aspects of fear and hope all populations and societies have to balance to understand, accept, and co-exist with events that befall upon them and encroach on their existing lifestyle and quality of life expectations.
Population Health Management and the Science of Individuality in the Era of Quantum Computing
Authors: Moumtzoglou Anastasius S. , Pouliakis Abraham
Published: November 2021

Population health management (PHM) is a discipline that studies and facilitates care delivery across the general population. On the other hand, currently, there is a significant outgrowth of precision medicine within the science of individuality that recognizes the uniqueness and digitization of the individual. The chapter focuses on five technologies that significantly impact precision medicine, arguing that cloud computing, big data, and m-health technologies offer the resources to succeed in dealing with the shortcomings of population health management. Finally, it contends that quantum computing and artificial intelligence are the necessary keystones, as they provide the required enormous processing power and algorithmic tools.
The Australian National Disability Insurance Scheme During COVID-19
Authors: Adibi Hossein
Published: November 2021

We have learned from COVID-19 to humanize our society and seriously challenge the rising inequalities, racism, and discrimination that exist in our contemporary human world. One of the apparent discriminations in our society is based on the government's approach and treatments towards people with disabilities. This chapter is about the Australian people with disabilities from culturally and linguistically diverse backgrounds and how the Australian National Disability Insurance Scheme has responded to the needs of these people within the Australian society during COVID-19.
Wireless Body Area Networks for Healthcare
Authors: Azdad Nabila , Elboukhari Mohamed
Published: November 2021

Motivated by the increasing need for improved healthcare solutions, wireless body area networks (WBANs) have shown their great potential in revolutionizing the next generation healthcare through enabling continuous monitoring of health status with early detection of abnormal situations. Such networks are able to support a diverse range of applications with traffic rates ranging from several bits per hour up to 10 megabits per second. For the efficient functionality of these applications, each one poses a specific set of quality of service (QoS) requirements to the medium access control (MAC) sub-layer including transmission reliability, timeliness, and throughput. However, energy limitations of WBANs make the satisfaction of these requirements a challenging task. The current paper aims to explore the application trends of WBANs in the health field as well as the salient features of the MAC protocols proposed for this class of networks and to provide a general rule indicating the most suitable MAC technology for WBANs based on the characteristics of the targeted application.
Towards a Formal Validation of a Hybrid Multi-Agent Routing Protocol for Ad hoc Networks
Authors: Riahla Mohamed Amine , Abassi Ryma , Tamine Karim
Published: November 2021

In the authors' previous papers, a new ant routing protocol for ad-hoc networks inspired from ant colony optimization was presented. They introduced a new approach that decreases both node energy consumption and routing overhead within the network. The validation of the routing protocol was based on series of simulations. The results show that the new algorithm provides a significant improvement compared to other protocols. After the algorithm is defined and published, they found it important to validate formally each one of its components in order to avoid any conflict, lack, or misbehaving situations. This process requires in a first step a formal specification. This is the main concern in this paper where the authors propose in a first part a formal specification using inference systems based on logical rules. A formal validation using these inference systems is proposed in a second step in order to prove the correctness, the soundness, the completeness, and the optimality of the proposition.
The Effects of Task-Based Instruction on High School Students' Writing Outcomes
Authors: Pham Vu Phi Ho , Hong Chien Thi , Nguyen Ngoc Hoang Vy
Published: November 2021

The goal of this study was to see whether task-based instruction could enhance EFL students' writing fluency and accuracy. Sixty Grade 11 students from two complete classrooms at Dai An High School in Tra Vinh Province, Vietnam participated in this research. The experimental group was taught to write essays using task-based training, whereas the control group was trained using product-based training. Writing skills were assessed before and after the exam. The 14-week intervention with task-based training showed significant improvements in post-test scores for the experimental group. The current study also developed a fresh and innovative teaching strategy to help local teachers enhance their performance.
Forecasting Practices in Textile and Apparel Export Industry
Authors: Shah Adeel , Ellahi Rizwan Matloob , Nazir Urooj , Soomro Musawir Ali
Published: November 2021

Sustainability in textile and apparel is an ideal that requires organizational effort starting from eco-design, encompassing manufacturing, distribution, and consumption. However, in the circular economy, the idea further goes to reuse the raw material. Sustainability is still an evolving subject in apparel and textile, which needs to investigate from many angles. Excess inventory at the supplier's end also impacts sustainability and needs due attention from researchers and practitioners to ponder. Applying the correct forecast technique and minimum errors results in better financial performance and reduced environmental pollution, impacting the triple bottom line in the true sense. The current study uses a systematic review on textile and apparel forecasting, highlighting the earlier research, thus contributing to the literature on sustainability and supply chain management.
Urban Green Innovation Ecosystem to Improve Environmental Sustainability
Authors: Vargas-Hernández José G. , Dávalos-Aceves Jessica
Published: November 2021

This chapter is aimed to analyze the relationships between environmental sustainability, urban ecosystems, and green innovation. The method employed is the critical analytical review of literature and further discussion on the issues focusing the city´s experience on managing the formulation, generation, development, implementation and evaluation of new behaviors and ideas in green innovation. It is concluded that the green innovation is directly related with the environmental sustainability and urban ecosystems. The interest of this analysis lies in providing support to urban settlements in managing the risks inherent in green area innovation, incremental or radical as a community’s management would experience in relation to the environmental sustainability in urban ecosystems.
Monitoring Student Performance Through an Agile Project-Based Assessment Strategy for Distance Higher Education
Authors: Guadelupe Sávio Resende , Freitas Danilo Pestana , De Carvalho Paulo Victor Rodrigues , Jatobá Alessandro
Published: November 2021

This article presents an observational qualitative study regarding the use of agile methodologies in implementing project-based student assessment procedures in higher education courses. The study comprised 32 students enrolled in an online biology class in a public university in Rio de Janeiro, Brazil. Students underwent two types of activities: first using traditional project-based learning, second using an agile approach based on the EduScum methodology. Results demonstrated that the agile methodology enforced student engagement, especially collaboration aspects. Interactions between students and teachers became more acute and straightforward. Moreover, it became easier for teachers to monitor students' performance throughout the course. This study provides highlights to enable schools to improve students' assessment procedures in distance education courses.
The Determinants of Student Attitude Toward E-Learning Academic Achievement During the COVID-19 Pandemic
Authors: Zheng Hui , Jiang Hong-bo , Wang Jin-Long , Liu Shih-Hao
Published: November 2021

Many educational institutions have adopted e-learning methods during the COVID-19 pandemic to maintain school teaching activities. However, systematic research on e-learning effectiveness in such a crisis is quite insufficient. This study aims to explore the impact of e-learning quality on students' satisfaction during the pandemic in regard to academic achievement and behavioral intention. Through a questionnaire and semester score database, the relevant data of 683 students were collected and then analyzed by PLS-SEM. The result shows that instructor teaching quality and e-learning system quality influence students' academic achievement and behavioral intention through increasing students' e-learning satisfaction. E-learning system quality moderated the impact of instructor teaching quality on students' e-learning satisfaction. The findings of this study provide valuable insights into the comprehensive implementation of e-learning during a crisis.
Learning the Code
Authors: Filbert Nathan W.
Published: November 2021

The concept of “digital literacy” has been much discussed and variously misunderstood in our society. Owing to digital communication technologies, it is often confused with other literacies and skills necessary for utilizing and evaluating digital information. As information and communication is increasingly produced, accessed, and controlled in digital formats, there is significant need to clarify among “information literacies” what “digital literacy” means and demands. In order to accomplish this, the author reviews what is meant by literacies in human society, examines the nature of the digital as a language, describes genuine digital literacy, and elucidates the sociopolitical importance of the growing digital illiteracy in global citizenry and how this might be addressed.
Ordering Policy Estimation for High Utility Item-Sets Considering Negative Item Values in Large Databases
Authors: Agarwal Reshu
Published: November 2021

Utility mining with negative item values has recently received interest in the data mining field due to its practical considerations. Previously, the values of utility item-sets have been taken into consideration as positive. However, in real-world applications an item-set may be related to negative item values. This paper presents a method for redesigning the ordering policy by including high utility item-sets with negative items. Initially, utility mining algorithm is used to find high utility item-sets. Then, ordering policy is estimated for high utility items considering defective and non-defective items. A numerical example is illustrated to validate the results