bluuebunny/crossref_metadata_2025 huggingface dataset:
Comment peut-on être anti-sportif ? La théorie critique du sport au prisme de son principal entrepreneur de cause
Authors: Martinache Igor
Published: July 2021

Née dans le sillage des mouvements de mai-juin 1968, la théorie critique du sport propose une condamnation radicale de l’institution sportive qu’elle envisage comme le principe de la plupart des maux du capitalisme moderne. En dépit d’une certaine visibilité médiatique, celle-ci peine néanmoins à attirer une audience dépassant un noyau de quelques auteurs prolifiques. Tout en rappelant ses principales thèses, cet article propose de mettre en évidence le terreau sociologique de cette théorie afin de montrer qu’au-delà de ses limites internes, c’est aussi dans les propres ambivalences de ses principaux animateurs que prend racine son incapacité à atteindre un public plus large.
Ascension et déclin d’un notable sportif investi dans l’arène de la voile brestoise. De la fin des années 1950 au début des années 1970
Authors: Lafabrègue Claude
Published: July 2021

Cette étude s’inscrit à rebours des travaux faisant de la détention d’un mandat politique l’unique voie d’accès à la notabilité. Elle suppose, au contraire, que l’exercice d’une responsabilité de dirigeant sportif offre des opportunités pour acquérir un pouvoir notabiliaire. Cette hypothèse a été testée sur le cas particulier d’un dirigeant ayant exercé ses fonctions dans le monde de la voile entre 1958 et 1974. Reposant sur l’analyse de la presse locale, la consultation de dossiers d’archives et la réalisation d’entretiens, cette étude a permis de repérer les conditions qui ont fini par lui faire défaut pour se maintenir dans une position de notable : le caractère incontournable que revêtent pour les pouvoirs publics locaux les associations qu’il dirige, le cumul des mandats associatifs, le soutien du public, la prise en compte des intérêts de ses partenaires publics et la relation de confiance qui en découle.
Stressors Among Chinese Frontline Health Care Workers Exposed to COVID-19 and Associated Mental Health Outcomes
Authors: Zhang Xuan , Sun Jiwei , Sun Meng , Wang Juan , Li Yanyan , Wu Liuliu , Mao Fangxiang , Cao Fenglin , Luan Xiaorong
Published: July 2021

The current study aimed to identify the main stressors inherent to caring for patients with coronavirus disease 2019 (COVID-19) and associated mental health outcomes among frontline health care workers. Data were collected via an online questionnaire from 651 frontline health care workers providing direct medical services for patients with suspected or confirmed COVID-19. Participants reported the stressors inherent to caring for patients with COVID-19, including depression, anxiety, and insomnia. Data were analyzed using descriptive statistics and multivariable logistic regression analysis. The most common stressors were “Worry about being negligent and endangering coworkers” (76.2%), “Worry about getting infected” (74.7%), and “Protective gear causing physical discomfort” (73.6%). “Conflict between duty and safety” and “Protective gear causing physical discomfort” were linked to high risk of depression, anxiety, and insomnia. Findings suggest that frontline health care workers may develop adverse mental health outcomes in the face of certain stressors, requiring targeted interventions. [
Journal of Psychosocial Nursing and Mental Health Services, 60
(1), 17–22.]
Crowdfunding Serious Games
Authors: Buckingham Christopher , Wanick Vanissa
Published: July 2021

In serious game design, addressing issues related to the value and opportunity of the development of a game is vital in the early stages, creating a more structured and robust approach by exploring the business case. Present frameworks provide an in-depth analysis of game design models but often fail to state the case of predetermined target markets and new funding options for serious game design. Crowdfunding is an emerging funding path for these games and one that leads the vanguard in breaking with traditional forms of raising funding. This chapter aims to help in addressing an existing limitation in the literature by reviewing an existing framework on game design and blending this with the concept of crowdfunding. This chapter proposes the extension of a framework that reflects the possibility for early crowdfunding of a serious game.
Cyber Security and Cyber Resilience for the Australian E-Health Records
Authors: Venkatachalam Nagarajan , O'Connor Peadar , Palekar Shailesh
Published: July 2021

Cybersecurity is a critical consideration for all users of electronic health records (EHR), particularly for patients. With the advent of Healthcare 4.0, which is based on the internet of things (IoT) and sensors, cyber resilience has become a key requirement in ensuring the protection of patient data across devices. Blockchain offers crypto-enforced security, data immutability, and smart contracts-based business logic features to all the users in the network. This study explores how blockchain can be a single digital option that can address both the cybersecurity and cyber resilience needs of EHR. The effective use lens is adopted to analyze how blockchain can be leveraged to meet cybersecurity needs while the novel use lens is adopted to analyze how blockchain can be leveraged to address cyber resilience needs originating from IoT. Based on the analysis, this study proposes two Hyperledger-based security models that contribute to individual privacy and information security needs.
Advancing Artificial Intelligence-Enabled Cybersecurity for the Internet of Things
Authors: Demir Alper Kamil , Alam Shahid
Published: July 2021

Internet of things (IoT) has revolutionized digital transformation and is present in every sector including transportation, energy, retail, healthcare, agriculture, etc. While stepping into the new digital transformation, these sectors must contemplate the risks involved. The new wave of cyberattacks against IoT is posing a severe impediment in adopting this leading-edge technology. Artificial intelligence (AI) is playing a key role in preventing and mitigating some of the effects of these cyberattacks. This chapter discusses different types of threats and attacks against IoT devices and how AI is enabling the detection and prevention of these cyberattacks. It also presents some challenges faced by AI-enabled detection and prevention and provides some solutions and recommendations to these challenges. The authors believe that this chapter provides a favorable basis for the readers who intend to know more about AI-enabled technologies to detect and prevent cyberattacks against IoT and the motivation to advance the current research in this area.
Advanced Cyber Security and Internet of Things for Digital Transformations of the Indian Healthcare Sector
Authors: Lamba Jonika , Jain Esha
Published: July 2021

Cybersecurity is not just about fortification of data. It has wide implications such as maintaining safety, privacy, integrity, and trust of the patients in the healthcare sector. This study methodically reviews the need for cybersecurity amid digital transformation with the help of emerging technologies and focuses on the application and incorporation of blockchain and the internet of things (IoT) to ensure cybersecurity in the well-being of the business. It was found in the study that worldwide, advanced technology has been used in managing the flow of data and information, India should focus on maintaining the same IT-enabled infrastructure to reduce causalities in the nation and on the other hand improve administration, privacy, and security in the hospital sector. Depending on the network system, resource allocation, and mobile devices, there is a need to prioritize the resources and efforts in the era of digitalization.
The Political Economy of UAE Branding From Marketing to Economics and Power
Authors: Roukanas Spyridon A. , Sklias Pantelis G.
Published: July 2021

The branding policy of the UAE has been in a phase of constant transformation and evolution in terms of its constructive elements. The aim of this chapter is to assess the UAE's evolution from a state whose branding was based upon soft power elements, namely the use of traditional economic tools and global marketing, towards hard power elements, including strengthening its geopolitical and international economic relations perspective through strategic-oriented initiatives. Making full use of its Sovereign Fund's capability and opportunity to invest on strategic economic sectors of third countries (e.g., the USA and the EU member states) as well as enhancing the perception of UAE as a global tourism, logistics, and transportation centre, UAE tends to move beyond the traditional marketing tools initially employed.
Cities' Branding Development
Authors: Lemonakis Christos , Zairis Antonis
Published: July 2021

Despite the enormous importance of branding in today's highly competitive environment in which tourism businesses operate, the concept of branding in the field of promoting tourist destinations is a relatively new field of academic research. This work aims to explore the concept of city branding and examines the extent to which this can make metropolitan cities in Greece a tourist attraction. A bibliographical search presents cities' characteristics that create their competitive advantage in attracting target groups of tourists.
Digital Communication in Attraction of Foreign Direct Investment
Authors: Gomes Margarida Lemos , Gaio Sofia
Published: July 2021

The attraction of foreign direct investment (FDI) has increasingly become a strategic priority for competitiveness between countries. The literature highlights the importance that digital platforms, namely websites, have as a promotional marketing toll to attract FDI. Therefore, it is important to understand how EU countries are using digital platforms, namely websites, to present their attractiveness for FDI. The research identifies the factors and arguments that EU countries choose to present and explore on their websites to attract FDI. All the 27 countries FDI (official) websites were analyzed. Results show that main factors presented to attract FDI are quality of life (67%), incentives (67%), talent (63%), and infrastructures information (59%). The research provides an overview of how EU countries are promoting themselves through the websites, as well as a descriptive analysis of what types of competitive arguments are being used and how they are being communicated.
How Emotional Intelligence and Consciousness (Mindfulness) in Education Can Provide a New Character and Orientation to the Nation
Authors: Matheou Marios
Published: July 2021

Our nation and state today are going through a difficult period in their life and survival, because the moral principles and values, the principles of democracy, in particular the human principles of mutual respect, respect and empathy for each other, have been damaged. The causes are certainly deeper, and researching, one concludes that the great nursery of democracy is education lags behind in terms of adhering to the principles of education and functional efficiency. The change of orientation of our education towards the inner world of man, the upliftment of the spiritual struggle, and cultivating from the inside out with the skills of emotional intelligence and consciousness will help citizens to reorient themselves and realize that they are part of a nation but at the same time citizens of a global community with broader perceptions, goals, and obligations. The revision of education programs and the introduction in education of emotional intelligence and consciousness will lay the foundations for the creation of a new generation of sensitized and conscious citizens.
Surpassing Narrative and Non-Verbal Communication
Authors: Georgiou Stalo
Published: July 2021

This chapter develops a strategy for scoring non-narrative or non-descriptive film segments. When developing a soundtrack for a movie, the composer is faced with the challenge of incorporating other tools and elements in order to create clear communication between the soundtrack and what is happening on screen. An effective approach to musical composition is sought for the non-narrative context. The main objective is to ascertain what other elements might be considered to meaningfully associate the screened events and the music tracks and then investigate how these elements may be most effectively scored. The research analyses a specific method for crossing from one modality or style to another, enabling the viewer to relate impressions and stimuli gained through one modality to another for a fully comprehensive experience. A table will demonstrate how the specifications of one modality can be calibrated in terms of another.
Is It Important for Healthcare Services to Place the Onus on Patient Satisfaction in Their Brand?
Authors: Giossi Styliani , Gkamanis Achilleas G. , Gkamanis Georgios G.
Published: July 2021

Due to the advent of computers, internet, and social media communication, the marketing of services has changed, and consequently, organizations of any kind need to specify a brand image strategy and position it successfully in customer minds without cultural limitations. A semiotic approach for examining the branding strategy was applied on the websites of some healthcare services organizations which were taken as representative case studies. This research study seeks to point out the significance of the signs, either in the linguistic level or the iconic level of analysis, in order to make easily understandable the main issues of a branding strategy. The quality of services, the high standard of scientific expertise, and the availability of clinical equipment are the dominant issues of the examining branding strategies, whereas patient satisfaction and their further quality of life are completely ignored. A suggested innovative branding approach is shown to help entrepreneurs, branding designers, and marketers of healthcare services recognize the value of patient satisfaction.
Recent Trends in Deepfake Detection
Authors: Sudarshana Kerenalli , C. Mylarareddy
Published: July 2021

Almost 59% of the world's population is on the internet, and in 2020, globally, there were more than 3.81 billion individual social network users. Eighty-six percent of the internet users were fooled to spread fake news. The advanced artificial intelligence (AI) algorithms can generate fake digital content that appears to be realistic. The generated content can deceive the users into believing it is real. These fabricated contents are termed deepfakes. The common category of deepfakes is video deepfakes. The deep learning techniques, such as auto-encoders and generative adversarial network (GAN), generate near realistic digital content. The content generated poses a serious threat to the multiple dimensions of human life and civil society. This chapter provides a comprehensive discussion on deepfake generation, detection techniques, deepfake generation tools, datasets, applications, and research trends.
Text Mining Using Twitter Data
Authors: Bhardwaj Falak , Arora Pulkit , Agrawal Gaurav
Published: July 2021

The microblogging social networking service Twitter has been abuzz around the globe in the last decade. A number of allegations as well as exculpation of different types are being held against it. The list of pros and cons of social networks is huge. India on one hand had an abundance of internet access in last half of the decade. The growth of social media and its influence on people have affected the society in both good as well as in bad way. The following research was done in the month of September and October. The research was carried out on 13 lakh tweets approximately, collected over the course of a month from September to October providing insights about the different attributes of general tweets available on Twitter API for analysis. Insights include the hashtags, account mentions, sentiment, polarity, subject, and object of a tweet. The topics like Rhea Chakraborty and Sushant Singh Rajput, PM Narendra Modi's Birthday, IPL 2020 overshadowed the topics like COVID-19 and women's security.
Designing Learning Environments That Integrate With Students' Academic Learning in a Community College Setting
Authors: Hornak Anne M.
Published: July 2021

This chapter focuses on how student learning needs to be intentionally designed to consider both what happens in and out of the classroom. The chapter focuses on student learning within a community college context, where co-curricular engagement looks much different than at a four-year school, specifically on how community colleges engage in design thinking principles related to curricular and co-curricular learning around equity and inclusion issues. Additionally, it is important to note that while some community colleges have residential opportunities for students, approximately 28% in the U.S., most are considered commuter campuses. Creating co-curricular opportunities on a commuter campus can be more challenging, however not impossible, and often adds value to the community college experience.
Measuring the Degree of Politicization of Intelligence Data
Authors: de Silva Eugene
Published: July 2021

The politicization of intelligence and how it leads to failures in intelligence have been recognized for many years. Those who lead the intelligence community have also been staunch advocates against politicization. Nevertheless, the intelligence community has always been influenced by policymakers at various stages of the intelligence cycle. This chapter discusses politicization and presents a model to determine the degree of politicization qualitatively/quantitatively. The recognition of five factors related to politicization and the use of a simple scale would enable the intelligence team to determine the extent of politicization and insulate each stage of the intelligence cycle. This chapter also applies the new model to two instances where politicization has occurred.
Raspberry Pi Inappropriate for App Hubs in Smart Home and Security Installations
Authors: Frost Terrence , Nolan Michael P.
Published: July 2021

With the advent of IoT (internet of things), our homes are becoming more dependent on technological devices to perform everything from basic to advanced tasks. In this paper, cyber living delves into the realm of home security and the use of Raspberry Pi compute devices to secure our homes. Raspberry Pi is an educational 'system on a chip' that sells for anywhere from $30 and up. Companies have been taking these basic devices, rebranding them, and turning them into the computers that drive a home security system. They operate everything from digital locks, cameras, thermostats, fire and CO2 alarms, and more. The authors take a deep dive and look under the cover at the security and viability of Raspberry Pi as a controlling device for home security.
A Better Understanding of Big Data and Marketing Analytics
Authors: Lacárcel Francisco J. S. , Polanco-Diges Leticia , Debasa Felipe
Published: July 2021

Data mining and analysis is consolidating as a crucial practice in economic, educational, social, and business sectors. In this context, this study aims to identify and categorize the main strategies, metrics, and concepts that are derived from big data analytics (BDA) and marketing analytics (MA). This study follows a systematic literature review (SLR) of important scientific contributions made so far in this research area. The authors have identified through this study 13 key concepts related to big data analytics and 13 related to marketing analytics, which are classified and categorized according to their application in technologies or actions in digital marketing. The chapter concludes with a discussion between theoretical and practical implications on the results for future researchers.
The Role of Big Data in Digital Marketing
Authors: Cavlak Neslihan , Cop Ruziye
Published: July 2021

Consumers perform their activities through digital channels more often as a result of technological advancements where those advancements also allow marketers to reach excessive information about consumers, store them, and use them whenever and however they consider necessary. These big data provide businesses to understand the unmet demands and expectations of consumers and achieve a sustainable business success. Despite the importance of big data analytics for marketing of businesses, research on this issue is scarce. In order to contribute the literature, the purpose of this chapter is to reveal the importance of big data in the digital marketing environment. In line with this purpose, a comprehensive literature review including the definition, components, sources of big data, and the role of big data in digital environments and the examples of businesses using big data is undertaken.
Understanding Google Ads Metrics for SME
Authors: Barbosa Belem , Oliveira Zaila , Teixeira Sandrina F. , Gomes Vasco Paço
Published: July 2021

Despite its popularity, search engine advertising is a particularly complex and demanding technique. One of the main challenges for Google Ads managers is to adequately monitor performance. Indeed, the literature identifies a plethora of metrics to measure the success of a search engine ads campaign. One research question arises: What are the metrics adopted by small and medium-sized companies to measure the performance of a Google Ads campaign? This chapter includes a mixed-method study with digital marketing professionals experienced in managing Google Ads campaigns for Portuguese SMEs. Interviews helped highlight the main difficulties faced by SEM's Google Ads' managers and to identify the performance measures they mostly control. Then, a survey enabled to analyse the association between performance measures and campaigns' perceived success. The insights produced by this chapter are particularly interesting for researchers, teachers, business managers, and digital marketing professionals, as it presents important clues on measuring the effectiveness of Google Ads campaigns.
Adapting Digital Strategies to a New Era
Authors: López Muniesa Rocío , Saura Jose Ramón , Díaz-Garrido Eloísa
Published: July 2021

Fashion brands are continuously reinventing themselves to adapt their business strategies to emerging markets. In this paradigm, digital marketing becomes an essential tool for communication to the target audiences online. In digital ecosystems, a new way of sharing information is taking place in which brands interact with users to increase engagement and brand awareness. Accordantly, the objective of the present study is to explore what is the evolution of digital marketing and how it has affected the strategies applied by fashion brands on digital ecosystems after the COVID-19 pandemic. The research develops a Delphi method with the participation of seven fashion digital marketing experts, whose conclusions and analysis of results will allow future research to be linked to the objectives of the research. The results propose and discuss nine future directions and four research proposals focused on digital marketing in the fashion industry. In the future, these proposals may be used by research or fashion marketers as a starting point for future research studies and practice.
Approach to Social Media Marketing Strategies in Different World Regions
Authors: Matosas-López Luis , Baelo Alvarez Roberto
Published: July 2021

The present study, using a sample of university organizations from different world regions, aims to provide an overview of social media marketing strategies used in different geographical locations. For this purpose, the authors conducted a descriptive study of the communication patterns implemented by university institutions in four regions: Africa and the Middle East, North America, Latin America, and Europe. The study, which adopts a comparative format, contrasts the findings obtained in each of the aforementioned regions, highlighting the existence of both similarities and differences in the social media marketing strategies of the organizations observed. In line with previous research, the authors took Twitter as the social media platform to be monitored.
IR4.0 Ready and Aware Academics at the National Defence University of Malaysia
Authors: Juhary Jowati
Published: July 2021

This chapter argues for the importance of equipping academics with the knowledge and impact of IR4.0 and beyond for future graduates. Particularly to prepare for military leaders for Malaysia at the National Defense University of Malaysia (NDUM), a new learning model may be apt and urgently needed. The objectives of the chapter are twofold: firstly, to gauge the readiness and awareness level of academics on implementing IR4.0 during their classroom teaching, and secondly, to investigate academics' views on their own teaching practices. The methodology for this chapter is quantitative in nature, where an online survey was used to collect data from the academics. It is found that, first, there are mixed reactions from academics on their readiness and awareness of IR4.0 and its impacts, and second, should the existing curriculum be revamped to serve students' needs on IR4.0, academics opined that the delivery methods must change too.
Using Social Media to Organize a Marginalized Community
Authors: Burton Todd R.
Published: July 2021

Potential leaders within marginalized communities find it difficult to connect, learn, strategize, and support one another and build a cohesive community capable of effecting social change. This research contributes to filling a gap in empirical research on effective approaches to employing social media tools to organize and engage in social movements. The research builds on earlier studies of marginalized communities and social media to organize and engages in social movements by applying a case study design to assess how the lesbian, gay, bisexual, and transgender (LGBT) military community employed social media to organize and advocate for inclusion and end discrimination within the U.S. armed forces. Seventeen findings were identified that describe key ways the LGBT military community employed these tools to organize, identify leaders and their roles, and how online behavior affected offline advocacy.
Humans, Autonomous Systems, and Killing in War
Authors: Galliott Jai
Published: July 2021

Technology has always allowed agents of war to separate themselves from the harm that they or their armed forces inflict with spears, bows and arrows, trebuchets, cannons, firearms, and other modern weaponry, all serving as examples of technologies that have increased the distance between belligerents and supposedly made warfare less sickening than the close-quarters combat of the past. This chapter calls into question the claims of some proponents of a ban moratorium on lethal autonomous weapons systems regarding a responsibility gap and contends that most implications associated with the introduction of autonomous technologies can be resolved by recognizing that autonomy does not mean the elimination of a human influence on the battlefield and advocates for a black-box-type recorder to ensure compliance with just war theory and the laws of war.
Test and Evaluation for Weapon Systems
Authors: Eriskin Levent , Gunal Murat M.
Published: July 2021

Defense systems are complex and expensive and decision makers acquiring these systems aspire better value for money. As part of a procurement decision, test and evaluation (T&E) is conducted to assess if the system is meeting desired requirements. This chapter reviews the concepts in T&E for weapon systems in the navy and presents the process for its implementation. The authors point out the role of modeling and simulation and how to use them to support T&E. The review reveals that developmental and operational T&E can examine weapon systems requirements before their deployment, T&E process can effectively be implemented in six steps, and mission/capacity requirements must be decomposed into predefined evaluation criteria.
Social Media Networking and Tactical Intelligence Collection in the Middle East
Authors: Howells Karen
Published: July 2021

Social media platforms are commonly used as a way to gather intelligence information by intelligence organizations in many countries. The data available from social media networks has been instrumental in aiding the organisation of rebellious activities in a number of Middle East countries. This article features an overview of the use of social media platforms in facilitating civil unrest, leading to an in-depth depiction of the use of such platforms both in Israel and the Palestinian Territories. After analyzing the types of data collected by intelligence agencies in the region, a model for filtering social network data through the use of socialbots is suggested. Using artificial intelligence, it is possible to design, create and build socialbots that can scrutinize enemy or terrorist organisations' data output. Further programming would allow these socialbots to interact with a target and would be able to disseminate propaganda for the intelligence agencies.
Optimization in Military Planning
Authors: Metin Mehmet Gokhan , Bulkan Serol
Published: July 2021

In recent years, advancing technology has introduced a wide range of resources for military forces. This rapid improvement in the number and types of military resources also led to difficulties in the management of resource allocation issues in combat missions. The general resource allocation problem can be defined as determining the optimal sequence of resource usage allocations while maximizing the kills on the enemy's forces or minimizing casualties. In this chapter, the authors investigate the resource allocation problems and solution approaches observed in planning military missions. Theoretical background information and some examples based on real-time data are provided to illustrate the chosen problem types.
Perceptions of Medical and Nursing Staff Towards Electronic Records at Selected Private Health Institutions in Zimbabwe
Authors: Makiwa Beauty Masceline , Chiparausha Blessing
Published: July 2021

The study sought to find the types of electronic records that are used at selected private health institutions in Zimbabwe and establish the perceptions of medical and nursing staff towards the electronic records. The study also examined the challenges that are faced by private health institutions' medical and nursing staff when using electronic records, and some solutions to these challenges were proffered. Purposive sampling was used to select institutions that participated in the study. Self-administered questionnaires were used to collect data from medical and nursing staff from the selected institutions. The study confirms that medical and nursing staffs' perceptions towards electronic records are positive, but knowledge about and usage of electronic records are relatively in their infancy at the private health institutions studied. However, uptake of electronic records is significantly going up as the institutions grapple to match global standards.
Association of Occupational Burnout and Nursing Errors With Patient Safety
Authors: Pappa Despoina , Dafogianni Chrysoula
Published: July 2021

During the daily nursing practice, dangerous situations might appear that, if not recognized and treated early, can lead to fatigue and professional burnout, causing detrimental consequences for the patient's safety and the adequacy of the healthcare quality of the provider. This article aims to synthesize existing research investigating the association between burnout in healthcare professionals with the safety of patient care in the last decade. The authors herein examined specific nurse surveys that involve burnout assessment and association with clinical errors throughout nurse provided care. Results from this search indicate that patient safety culture must be cultivated towards nursing errors and burnout reduction. The prompt recognition of burnout signs is the critical parameter for nursing errors prevention and patient safety, in the long term. Nursing error management is oriented towards investigation of the burnout symptoms and exists as an integral and essential issue for nursing administration to ensure excellent and qualitative patient care.
Human Competency as a Catalyzer of Innovation Within Health and Nursing Care Through a Perspective of Complex Adaptive Systems
Authors: Matsushita Hironobu , Lillrank Paul , Ichikawa Kaori
Published: July 2021

The aim of this article is to analyze some features of nursing manager competencies as a potential agent of innovation through a perspective of complex adaptive systems. To achieve the objective, an empirical quantitative analysis of the data obtained through structured questionnaires was conducted to identify the key aspects of perceptions related to competencies. The results demonstrated a disparity between what nursing managers perceived as “my strength” and what they perceived as “critical in adopting innovation” with respect to competencies. This study empirically identified key competencies relevant to nursing managers in adopting innovation through a perspective of encompassing complex adaptive systems. The nursing managers surveyed tended to consider their strengths included interpersonal understanding, teamwork, self-control and concern for order. From a viewpoint of innovation adoption, there is room for improvement for nurses to develop such competencies as initiative, team leadership, conceptual thinking, analytical thinking, and organizational awareness.
Application of a Fuzzy MCDM Method to Select the Best Operating System for an Efficient Security-Aware Design of Embedded Systems
Authors: Boutekkouk Fateh
Published: July 2021

In this work, the authors present their solution to select the best operating system for an efficient security-aware design of embedded systems. This problem is formulated as a MCDM problem and solved using a hybrid approach combining fuzzy AHP and fuzzy VIKOR. This combination enables the authors to take profit of both methods. From AHP, they exploited the hierarchy and the pairwise comparison between criteria that leads to finding the importance (weight) of each criteria more consistently. On the other hand, from the VIKOR method, they leverage its power to compromise between conflictual criteria. Since they are dealing with unprecise and subjective advises, they opt for the fuzzy versions of the AHP and VIKOR methods dealing with triangular fuzzy numbers. They used fuzzy AHP to calculate weights of criteria which are served later as inputs for the fuzzy VIKOR method. The outcome of this work is to assist embedded designers to select the most appropriate embedded OS for efficient design of secure embedded systems.
Hybrid Modified Whale Optimisation Algorithm Simulated Annealing Technique for Control of SRM
Authors: Saha Nutan , Panda Sidhartha
Published: July 2021

The evolutionary multiobjective optimization is an identified field for researchers. The goal of evolutionary multiobjective optimization is to optimize several objectives simultaneously. The problem of multiobjective optimisation is more important when the objective function exhibits conflicting characteristics. In this work, metaheuristic techniques such as modified hybrid whale optimization algorithm with simulated annealing (hybrid mWOASA) is proposed for speed control along with minimization of ripple in torque of a 75 KW, 4-phase, 8/6 switched reluctance motor. The proposed method is used for the combined objective of control of speed with minimization of ripple in the output torque of switched reluctance motor (SRM) considering the armature current as constraint. It is noticed that torque ripple coefficient, integral square error of speed (ISE(speed)), and integral square error of current (ISE(current)) reduced significantly by proposed mWOASA technique as compared to hybrid WOASA, WOA.
A New Memetic Approach to Solve the Strategic Berth Template Problem
Authors: El Hammouti Issam , Lajjam Azza , El Merouani Mohamed
Published: July 2021

The berth allocation problem is one of the main concerns of port operators at a container terminal. In this paper, the authors study the berth allocation problem at the strategic level commonly known as the strategic berth template problem (SBTP). This problem aims to find the best berth template for a set of calling ships accepted to be served at the port. At strategic level, port operator can reject some ships to be served for avoid congestion. Since the computational complexity of the mathematical formulation proposed for SBTP, solution approaches presented so far for the problem are limited especially at level of large-scale instances. In order to find high quality solutions with a short computational time, this work proposes a population based memetic algorithm which combine a first-come-first-served (FCFS) technique, two genetics operators, and a simulating annealing algorithm. Different computational experiences and comparisons against the best known solutions so far have been presented to show the performance and effectiveness of the proposed method.
Can Firm Performance and Corporate Reputation Be Improved by Communicating CSR in Social Media?
Authors: Schröter Julian , Dutzi Andreas , Withanage Eshari
Published: July 2021

As stakeholders make their decisions based on corporate reputation, it is vital for the companies to ensure that their CSR activities are communicated effectively via social media (SM) channels. It can be argued that by leveraging CSR in SM channels, firms have the possibility in strengthening trust and loyalty of their stakeholders and thereby enhancing corporate reputation and firm performances. Hence, the study aims to examine how CSR communication has an impact on firm performances and reputation. Top 50 and bottom 50 companies that are ranked in the Social Media Sustainability Index (2016) are collected along with four reputation ranking indices and Twitter data for this study. Although there is no significant relationship between Twitter and corporate reputation, there is a significant relationship between Twitter and firm performances.
Enhanced Colliding Bodies Optimization Towards the Solution of Economic Load Dispatch Problem
Authors: Das Sujoy , Roy Asmita , Das Nishat , Choudhury Sanjukta
Published: July 2021

This paper proposes application of enhanced colliding bodies optimization algorithm (ECBO) for solving the economic load dispatch problem, which aims to get minimum generation cost through economic scheduling of generating unit. The algorithm is a novel efficient optimization algorithm, and its idea is attained from collisions, which are one-dimensional between two or more bodies. Each agent involved in this collision is shaped as a body having defined mass and defined velocity. To analyze the performance of the proposed method, it is tested on four different test systems consisting of 3, 5, 13, and 18 generating units. Both convex and non-convex fuel cost function have been considered. Numerical results have been compared with various well-known algorithms. A significant improvement in the results has been observed. It has been farther noted that an average 5.1% better results were provided by ECBO in terms of generation cost compared to other algorithms. Moreover, the simulation time is also improved. Besides this, Kruskal-Wallis non-parametric test has been performed.
A Survey
Authors: Tripathi Anshul , Chourasia Uday , Dixit Priyanka , Chang Victor
Published: July 2021

Agriculture occupation has been the prime occupation in India since the primeval era. Nowadays, the country is ranked second in the prime occupations threatening global warming. Apart from this, diseases in plants are challenging to this prime source of livelihood. The present research can help in recognition of different diseases among plants and help to find out the solution or remedy that can be a defense mechanism in counter to the diseases. Finding diseases among plant DL is considered to the most perfect and exact paradigms. Four labels are classified as “bacterial spot,” “yellow leaf curl virus,” “late blight,” and “healthy leaf.” An exemplar model of the drone is also designed for the purpose. The said model will be utilized for a live report for extended large crop fields. In this exemplar drone model, a high-resolution camera is attached. The captured images of plants will act as software input. On this basis, the software will immediately tell which plants are healthy and which are diseased.
Artificial Intelligence-Assisted Endoscopy in Ulcerative Colitis
Authors: Zezos Petros
Published: July 2021

Inflammatory bowel diseases (IBD) are disorders that cause chronic inflammation in the gastrointestinal (GI) tract. The two most common forms of IBD are Crohn's disease and ulcerative colitis (UC). Imaged by high-definition video-camera via the colonoscope, the mucosa of the colon is recorded and examined by the endoscopist. Endoscopy is the gold standard method of discerning the disease severity and the treatment outcome in patients with UC. Determining the severity and the extent of the disease is important in guiding the management. This is challenging due to inter-individual variation, subjectivity in reporting endoscopic scores, and human time commitment. To address these concerns, computational aids via artificial intelligence (AI) can contribute to the processing of endoscopy data. In this editorial, the authors provide an overview of AI use in the endoscopic assessment UC activity and severity.
Exploring Chinese Feng Shui Culture for Achieving Sustainability
Authors: Wen Liang , Li Zhidong , Guo Xiumei
Published: July 2021

This paper explores the origin, concept, and basic content of Chinese Feng Shui (geomancy) and makes a comparison with sustainable development principles to explore similarities and differences in philosophic thinking from environmental, social, and economic perspectives. It also attempts to acquire inspiration from Feng Shui for achieving ecological balance and harmony between humans and nature. The long history of the Chinese Feng Shui culture has important implications for extending the contemporary sustainable development theory, and this study argues that it can inform policy aimed at achieving sustainability in a more harmonious way.
Shortest Path Method for Hardware/Software Partitioning Problems
Authors: Iguider Adil , Elissati Oussama , En-Nouaary Abdeslam , Chami Mouhcine
Published: July 2021

Smart systems are becoming more present in every aspect of our daily lives. The main component of such systems is an embedded system; this latter assures the collection, the treatment, and the transmission of the accurate information in the right time and for the right component. Modern embedded systems are facing several challenges; the objective is to design a system with high performance and to decrease the cost and the development time. Consequently, some robust methodologies like the Codesign were developed to fulfill those requirements. The most important step of the Codesign is the partitioning of the systems' functionalities between a hardware set and a software set. This article deals with this problem and uses a heuristic approach based on shortest path optimizations to solve the problem. The aim is to minimize the total hardware area and to respect a constraint on the overall execution time of the system. Experiments results demonstrate that the proposed method is very fast and gives better results compared to the genetic algorithm.
The Role of Open Source Software in Mastering Technologies of an Information System and Its Implication to Technology Transfer
Authors: Mengesha Niguissie
Published: July 2021

The philosophy and practice of open source software (OSS) affected not only software production but also implementation and use. However, little is known about the intricacies of implementation and use of domain-specific, frontend information systems compared to production. Especially, empirical studies that examine the learning mechanisms in OSS implementation in developing countries are scant. This paper fills the gap by investigating the implementation of an OSS in a resource-constrained setting. Drawing upon communities of practice and networks of practice theories, the paper examines the mechanisms of the OSS approach that enable knowledge circulation, technology transfer, innovation, and sustainability, and interrogates the technology transfer conceptualization in the light of the approach. It also highlights the measures practitioners and policymakers should take to benefit from OSS.
Development of Learning Systems for Children to Promote Self-Directed Choosing of Learning Tasks
Authors: Kawano Yoshihiro , Kawano Yuka
Published: July 2021

In this study, a learning-data collection system to acquire the data regarding developmental stages and learning activities has been developed for the purpose of self-directed choosing of learning tasks by children. The skills necessary for the children to choose their own learning tasks are categorized into three segments—“computational thinking,” “ICT literacy,” and “social perspective”—that correspond to learning the various activities that the authors promote. These learning activities are “programming classroom,” “IT advisement session,” and “children's city.” This study proposes a system design of the learning-data collection system. The learning-data are collected in the programming classrooms. The research question of this study is to find out how the learning frequency in programming education for children affects the depth of reflection and the differences in the quality of learning. As a result of analyzed learning-data, it was confirmed that the more frequent the learning, the deeper reflection was possible to promote more self-directed learning.
A Location-Tracking Method With a Convolutional Neural Network
Authors: Kawakami Shiori , Sakamoto Shinji , Okamoto Shusuke
Published: July 2021

This article considers how to get the current location of a robot from camera images that are taken on moving to its destination. The picture images are taken while the robot is moving, and then the robot identifies its own location using the knowledge from the learning technique. There are two types of image preprocessing. One is to use the images trimmed around some feature points, and the other is to guess the mark region in the image by feature matching before learning. In addition to these, six types of models are created for discriminating the location, and learning is performed under the same conditions for comparative evaluation. The result shows that the proposed method can determine its location and direction with around 97% accuracy without using any sensors except camera images.
Identification of a Person From Live Video Streaming Using Machine Learning in the Internet of Things (IoT)
Authors: Zeba Sana , Amjad Mohammad
Published: July 2021

In this paper, the authors develop an efficient face recognition algorithm from images or live video streaming for IoT systems based on K-nearest neighbor and support vector machine learning to recognize the person from the local database and extract the features of the face. Because of the complexity of the conditions, there might be some factors of facing errors like the size; the angle; the distance from the ear, nose, and eyes; etc. This sustainable machine learning-based IoT system is designed for sovereign face recognition with features extraction with improved accuracy near about 96%. The experimental study is done to test the performance of the face recognition in the changes of number of persons in video or images. Finally, this manuscript recognized persons from live video or images with accuracy approximately 96% by using the SVM and KNN classifiers and discussed with the block diagram and proposed algorithm.