bluuebunny/crossref_metadata_2025 huggingface dataset:
Les apports de la danse d’Isadora Duncan à la pédagogie
Authors: Pressard-Berthier Véronique
Published: September 2018

L’enseignement de la danse a souvent été pris comme analyseur de la place accordée au corps dans les projets d’éducation. L’article étudie les propositions de danse libre d’Isadora Duncan (1877-1927). Celles-ci marquent une rupture dans les principes qui ont sous-tendu la pédagogie de la danse en Occident. Sa pratique se fonde sur une écoute du corps, absente de la formation académique. À l’opposé des techniques contraignantes et des postures imposées, Isadora Duncan prône une manière inédite de penser le mouvement dansé, impulsé de l’intérieur, avec l’hypothèse d’un élan rythmique propre à chacun. Ses préceptes éducatifs reposent sur une prise de conscience du geste par un système de préparation musculaire et en particulier respiratoire qui devient un accroissement des possibilités d’expression de l’intériorité.
Return on Investment: Building the Case for a Nurse Manager Certificate Program
Authors: Lengetti Evelyn , Haynor Patricia
Published: September 2018

Nursing professional development practitioners are frequently asked about program return on investment. A pre–postprogram self-assessment was developed for a Nurse Manager Certificate Program using the American Nurses Credentialing Center Nurse Executive Certification blueprint. The results identified knowledge and skill gaps, defined program outcomes, and helped determine return on investment. The results revealed improvement of knowledge, skill, and evidence for return on investment.

J Contin Educ Nurs.
2018;49(10):446–448.
Moderating Effects of Resilience on the Relationship Between Emotional Labor and Burnout in Care Workers
Authors: Moon Yumi , Shin So Young
Published: September 2018

The aim of the current study was to investigate the moderating effects of resilience on the relationship between emotional labor and burnout among care workers in long-term care (LTC) hospitals. Participants were 126 care workers from five different LTC hospitals in Busan, South Korea. A set of self-reported questionnaires was administered to assess general characteristics, emotional labor, resilience, and burnout of participants. Data were analyzed using descriptive statistics,
t
tests, one-way analysis of variance, Pearson correlation coefficients, and hierarchical multiple regression. The final multivariate regression model was statistically significant and accounted for 36% of the variance in burnout. Emotional labor was significantly associated with burn-out (β = 0.25,
p
= 0.001). Resilience had a significant moderating effect on the relationship between emotional labor and burnout (β = −0.16,
p
= 0.033). To alleviate burnout in care workers, emotional labor should be recognized as a significant mental health problem and management interventions should be developed. [
Journal of Gerontological Nursing, 44
(10), 30–39.]
Vexin normand ou Vexin parisien ?
Authors: Fruit Jean-Pierre
Published: September 2018

Depuis des siècles, le cours de l'Epte marque la limite entre la Normandie et l'Ile-de-France. Actuellement encore, la rivière est frontière départementale et régionale. Quelle est pour les hommes d'aujourd'hui le sens de cette limite ? Le Vexin entre l'Epte et l'Andelle mérite-t-il son qualificatif de « normand » ?

La première partie de l'ouvrage est consacrée à l'analyse des paysages et de leur signification. Une bonne partie des aspects actuels du pays reflète sa nature physique et ses fonctions. Néanmoins, les transformations progressives des paysages agraires de l'Epte jusqu'à l'Andelle n'ont pas une signification entièrement fonctionnelle. Comment les expliquer ?

La deuxième partie de l'ouvrage porte sur l'étude de la vie de relation. L'influence de Rouen n'est vraiment sensible qu'au niveau de la distribution du commerce de gros et de l'attraction de son centre commercial lors d'achats exceptionnels. Elle s'arrête d'ailleurs en deçà de l'Epte. L'influence de Paris la relaie dans les marges orientales du pays, et la capitale contrôle l'essentiel des activités économiques dynamiques.

La troisième partie s'efforce de comprendre comment les paysages se sont élaborés et comment la vie de relation a évolué vers une perte de contrôle de Rouen sur sa région et un accroissement de l'influence parisienne. On y entrevoit aussi quelles seront les évolutions probables.
Literature Review on Leadership Effectiveness and Followership
Authors: Busari Abdul Halim
Published: September 2018

The purpose of this chapter is to provide in-depth understanding of leadership effectiveness and followership. These two terms are overlooked in the field of management and leadership studies. So different theories, models, dissertations, and articles were reviewed, and pieces of literature taken from theses are used in this chapter.
Leader Volunteers and Their Perceptions, Involving the Greater Yellowstone Sights and Sounds Archive
Authors: Bailey Nancy L.
Published: September 2018

Leadership performance outcomes reflected existential phenomenological methods in an account of museum volunteer perceptions. Volunteers developed personal transformation leadership during the production of a museum digital collection, a purposeful project, creating an archive, a digital repository for video media, supporting mediated meaning, reflective thinking, and mindset coaching strategies. Evidence of leadership outcomes advanced museum education outreach for personal and community transformative social change. Continuous interactions included independent volunteers forming an interdependent working group and creating successful leader volunteers. The Buffalo Bill Center of the West housed the archive, as perceptions of leadership reported evolving leadership. The nature of perceptions involved thematic investigation, expanding potential for purpose, time, expertise, commitment, dedication, and collaboration in transformation leadership.
Servant Leadership and Job Satisfaction
Authors: Jing Xinlin
Published: September 2018

This chapter seeks to investigate the association between servant leadership and job satisfaction in a healthcare-specific environment. The study uses the method of narrative enquiry within the framework of interpretative phenomenological analysis to capture the lived experience. Interviews were conducted with health professionals in a public hospital in China. The study's findings suggest that servant leadership contributes positively to health professionals' job satisfaction. The study provides insight into practical strategies for healthcare managers to optimize healthcare management. Although there are a few earlier studies that link servant leadership with job satisfaction, there has been an absence of research in the healthcare context.
The Essence of Followership
Authors: Khan Sajjad Nawaz , Busari Abdul Halim , Abdullah Siti Mariam
Published: September 2018

Followership is an emerging field of research in the current era. This chapter reviews followership literature and provides future research directions. This review is based on two theoretical frameworks of followership, namely role-based approach and constructionist approach. The purpose of this chapter is to provide a cursory review of followership research conducted in the last two decades. This chapter is a good starting point for novice researchers who want to pursue research in followership and leadership. In relations to future research directions, research topics that could be investigated in the light of leadership and followership are proposed.
Evidential Learning on Web Search Queries Disambiguation for Active Strategic Decision Making
Authors: Kamal Shahid , Nasir Jamal Abdul , Uddin Zia , Khan Bakhtiar
Published: September 2018

The web search engines are perhaps the most significant of all software systems. True, the vast information needs of the users would not satisfy without a way to represent the data and provide the interface components. The fast growth of the information world and the internet saturation into all fields has increased the importance of the problem of information access. In pursuance of communication being made with a web search system, the user must express his or her needs in the form of queries. However, due to the lack of domain knowledge and the limitation of natural language such as synonym and polysemy, many system users cannot formulate their needs into effective queries. In this chapter, the authors attempt to give detailed description of ambiguity concept, search queries, and then disambiguation process with respect to different types. Disambiguating the search intent and improving the accuracy of resulting information is a crucial issue in the domain of web search systems, especially when most of users are unable to clearly express their information needs.
Firm's Competitive Growth in the Social Media Age
Authors: Hegazy Nermeen Atef Ahmed
Published: September 2018

Social media has changed not only people's lives but also business's life. The internet has transformed the way companies do their business. Most companies create an entire business function commonly referred to e-business, which is the use of internet and information technology in a company's operations. Social media is not only a communication tool for entertainment. It is also an important part of marketing strategies in firm's business life. Therefore, firms can use social media as a strategic marketing tool to help firms gain a competitive advantage, so social media and social media marketing are gaining importance all over the world, especially from marketers and researchers in order to understand how social media works and to understand its techniques.
Investigating the Factors for Predictive Marketing Implementation in Algerian Organizations
Authors: Sedkaoui Soraya
Published: September 2018

This chapter examines and identifies the factors that influence the implementation of predictive marketing in Algeria enterprises. A structured questionnaire was used to collect data from 30 respondents comprised of CEOs of selected enterprises. Some analytical methods were applied to analyze the data and evaluate the point of view of the enterprises with regard to the adoption and implementation of predictive marketing techniques. The major findings of the study indicated that the adoption of predictive marketing requires the relevant tools and software to extract knowledge “data mining.” In addition, the existence of start-up (for analytics) and the level of development of e-commerce and digital marketing in Algeria will undoubtedly encourage the use of these techniques. This chapter also provides some suggestions for further research.
Managerial Perspectives on Willingness to Pay for Green Marketing
Authors: Sony Michael
Published: September 2018

Green marketing meets the present needs of the consumer and business, while also preserving or enhancing the ability of the future generations to meet their needs. The chapter deals with customers' willingness to pay for green marketing initiatives. The chapter explores the managerial perspective using a qualitative inquiry using interpretative phenomenology approach. The customers are willing to pay for green initiatives provided 1) the green initiative does not cost a lot of inconvenience, 2) hotel has a good image, 3) customer profile environmental consciousness moderated the relationship between the customer profile and willingness to pay. Recommendations on how to implement the green strategy in hotels are discussed. The direction of future research sections important research areas in green marketing for an academic contribution.
Preparing Educators for Sustainability
Authors: Sebald Ann , Frederiksen Heidi , Decker Derek , Roth Jennifer , Fothergill Wendy , Searle Juliana , Drager Jody , Castor Jennifer , Stevenson Cerissa , Lewis Angela Roybal , Weinberg Andrea E.
Published: September 2018

In this chapter, the authors discuss clinical practice as a key component to field-based teacher education. Clinical practice constructed within a professional development school (PDS) model is based upon the work of Dewey, Vygotsky, and Goodlad, and provide the basis for this work. Dewey's center of pedagogy and learning through direct experiences, connected with Vygotsky's socially constructed relational imitation experiences linked with common language, juxtaposed to Goodlad's simultaneous renewal of university and PK-12 partnerships all intersect in the work of clinical practice. The authors then present a logic model framework in which to design field-based educator preparation considering the theory and research discussed. The chapter concludes with highlighting practice-based solutions and recommendations through three case studies showcasing implementation of the logic model framework in action.
Improving Coherence in Teacher Education
Authors: Weston Tracy L.
Published: September 2018

This chapter describes the author's work as a teacher educator to establish, sustain, and improve a methods course partnership with a local K-6 school using an integrated school-situated, practice-based model. The model was designed with an aim of improving the coherence of teacher candidates' experiences and learning to better prepare them for the complicated work of equitable teaching. Coherent field-based components in teacher education offer opportunities to mitigate divisions between 1) theory and practice and 2) coursework and fieldwork. The chapter begins with a definition of coherence, describes how this definition of coherence was used to design an elementary literacy/social studies methods course, shares data to evaluate the course from the perspective of the teacher candidates, and describes what candidates learned by participating in the course.
Developing Mutually Beneficial Partnerships Through Purposeful Field-Based Experiences
Authors: Yeigh Maika J. , Rigelman Nicole R.
Published: September 2018

In this chapter, two teacher educators share lessons learned when they adapted professional development structures for use with teacher candidates during the clinical practicum experience. Highlighted in this chapter are two field-based teacher education approaches that support the development of mutually beneficial partnerships. Teacher candidates and their cooperating teachers collaboratively used lesson study to examine mathematical discourse in an elementary setting, while teacher candidates used instructional rounds as a way for teacher candidates to observe more experienced teachers in secondary classrooms. Both structures attempted to bridge the persistent divide between university learning and clinical practice to the benefit of K-12 students, teachers, and teacher candidates. The chapter concludes with recommendations for increasing the number of teacher candidates and partnership schools involved in this field-based learning in ways beneficial to all those involved.
Dismantling Eurocratic Practices in Teacher Education
Authors: Wynter-Hoyte Kamania , Muller Meir , Bryan Nathaniel , Boutte Gloria Swindler , Long Susi
Published: September 2018

This chapter provides a profile of an urban education collective that fosters relationships among preservice teachers, university faculty, and a local school district. The partnership supports preservice and in-service teachers serving marginalized communities using culturally relevant, humanizing, and decolonizing pedagogies. Drawing from decolonizing and humanizing theoretical and pedagogical frameworks, the collective highlights equity, asset-based, and anti-racist teachings. Insights gained from this initiative and recommendations for navigating challenges in equity work are presented. Implications for teacher education programs and future research goals are provided.
Four Perspectives on the Benefits of an Early Field Experience for High School Teacher Candidates
Authors: Lotter Christine , Smoak Kimberly , Blakeney William Roy , Plotner Stacey
Published: September 2018

This chapter describes an innovative early field experience course for secondary teacher candidates that is held onsite at two local high schools. The chapter presents the course experience from the perspective of three stakeholders involved in the teaching and planning of the experiences: the university faculty instructor, a school administrator, and a practicum high school teacher. University candidate voices are also included through an analysis of survey data collected at the end of the most recent course offering. Each stakeholder describes both the tensions and benefits of the partnership and course experiences. By connecting theory and practice through interactions with all stakeholders during the course, the experience honors the expertise of all involved and builds a community of educators working together to improve secondary teacher education.
University Supervisors' and Mentor Teachers' Evaluations of Teaching Episodes
Authors: Goldsmith Melissa M. , Dole Janice A. , Burbank Mary D.
Published: September 2018

Teacher candidates receive mentorship and evaluations from university supervisors and cooperating teachers, qualified educational professionals and stakeholders performing two different roles. The study examined to what extent university supervisors and cooperating teachers agreed and disagreed on effective teaching. University supervisors and cooperating teachers were asked to watch three videos of teaching episodes and rate them using a 20-question observation instrument. Follow-up focus groups were held to discuss reasons for the ratings. Results indicated that these groups generally agreed on many aspects of quality teaching, but substantive differences existed as well. Raters varied by role when rating facets of language development for language learners, instructional strategies and assessment. Differences in ratings between these groups were explained by the way they view their roles and responsibilities in the classroom as well as the way they interpreted the components of the observation instrument.
Learning to Teach
Authors: Damico Gabrièle Abowd , Ruich Lawrence J. , Andrésen John M. , Butera Gretchen
Published: September 2018

This chapter describes an approach to field experience that provides the opportunity for a long-term relationship between a teacher candidate and their supervising teacher in a teacher preparation program called Community of Teachers (CoT). CoT emphasizes the importance of this relationship in several ways. The program empowers teacher candidates and their mentors to choose one another. In addition, the length of the field experience provides an opportunity for teacher candidates to more deeply engage in the process of becoming a teacher within the context of a classroom and a school that they come to know well. A triadic relationship between the teacher candidate, supervising teacher, and university supervisor provides the opportunity for support as well as evaluative feedback for the teacher candidate. Benefits also accrue to the supervising teacher.
Investigating How Rehearsals and Teacher Educator Feedback Influences Preservice Teacher Development
Authors: Virmani Rajeev K.
Published: September 2018

This chapter examines how three secondary mathematics preservice teachers and two teacher educators rehearse and enact the core teaching practice of leading a whole-class discussion in a math methods course and in student teaching placements. Findings indicate that there was substantial variation in the three preservice teachers' opportunities to practice key aspects of leading a whole-class discussion, the type of feedback they received from the teacher educators, and the authenticity of the rehearsal. The opportunity to approximate practice and receive feedback played a significant role in the generative nature of the preservice teachers' enactments of a whole-class discussion in their student teaching placements.
New Trends and Tools for Customer Relationship
Authors: Lima Ana , Pacheco Jorge
Published: September 2018

Digital transformation is leading companies to change their business and adjust the strategies to the new market reality – an era of constant customer connectivity focus on transforming the customer value and the use of digital technologies for greater customer interaction and collaboration. This is putting the customer first in many organizations' strategies to leverage the customer journey and experience with brands. Digital transformation is the combined effect of the main digital innovations responsible for changing structures, practices, and values within companies. In terms of customer, it means changing the way business interaction occur during the customer journey. The digital era faces a tremendous growth of customer empowerment, so companies need to structure news ways to be innovative in terms of customer support, anytime, anywhere, and with the proper device – text, video, instant messages, and unexpected ways. The authors strongly recommend any company or organization to bring the customer experience to the early stages of the implementation of a new tool.
Assessment Approach of Enterprise Readiness to Digital Transformation
Authors: Zotova Anna , Mantulenko Valentina
Published: September 2018

This chapter is devoted to information technology use in the organization activities in the context of its readiness for change. The authors substantiate the importance of information resources for business and study the existing approaches to formation of information environment in the organization and the role of information systems in the decisions making process. They also consider factors that influence the success of projects on the introduction of information technologies in business activities, as well as principles determining the effective work in this field. The chapter presents the analysis results of specific features of the information technologies integration with various business processes in Russian companies and the methodology developed by the authors for a comprehensive evaluation of companies' readiness for change. Particular attention is paid to the aspect of developing a complex system of indicators for each factor that determines the effectiveness of the integrated information system formation and use.
A Pedagogical Model of Distance Training for the Continuous Training of Magistrates
Authors: Caldeira Joana , Pedro Neuza
Published: September 2018

Being aware of the importance of e-learning within existing training structures and in different professional contexts, this chapter aims to contribute to the modernization of the training practices implemented in the continuous training of magistrates, through the design of a pedagogical model of distance training, using a hybrid regime, to be implemented in the continuous training of magistrates. The implementation of a model of this nature is of great value for the training carried out by the Centre for Judicial Studies (CEJ), an entity responsible for the initial and continuous training of Portuguese magistrates, as it can constitute a pedagogical innovation of the training practices. The pedagogical model of distance learning that has been developed for the ongoing training of Portuguese magistrates is described and understood as a set of pedagogical assumptions and guidelines for planning, designing, and evaluating the distance training action.
The Use of Digital Tools for the Disclosure of Sustainability Reports in the Tourism Sector
Authors: Paiva Inna Sousa , Carvalho Luísa Cagica
Published: September 2018

Sustainability is a key topic in tourism because this activity uses territory and local resources intensively. Sustainability is considered as a triple bottom line with the three vertices: environmental, social, and economic. Tourism nowadays is an economic and social phenomenon. Even in a period of crisis, tourism has experienced continued growth and widening diversification to become one of the most important sectors in the worldwide economy. Tourism uses more and more digital tools to communicate with stakeholders. This chapter has a twofold purpose: 1) to analyze the disclosure of information provided to stakeholders using digital tools; 2) to compare the sustainability reports provided by a company with the corporate sustainability report guidelines. This chapter uses a qualitative methodology to study the case of the Pestana Group. The Pestana Group is currently the largest Portuguese hospitality group with operations and hotels all over the world, and this case may provide some clues about the use of digital tools to communicate sustainability results to stakeholders.
Composite Indicators for Measuring the Popularity of Portugal and Its Tourism Regions Using Google Trends
Authors: Dinis Maria Gorete Ferreira , Martins da Costa Carlos Manuel , Pacheco Osvaldo Manuel da Rocha
Published: September 2018

The aim of this chapter is to present composite indicators that contribute to the understanding of online interest of Portuguese people for domestic tourism at national and regional level and by characteristic tourism product in each region of the country. For the construction of the composite indicators, data was collected for one year using the Google Trends tool, for a set of a priori defined search terms representative of the Portugal destination and its regions. The composite indicators result from the average weighting of seven primary indicators, composed of fifteen sub-indicators, which were proposed based on the conceptual framework of the Tourism Satellite Account. The results indicate that the interest of the Portuguese people by Portugal and its regions shows a seasonal behavior whose accent varies according to the tourism region, as well as the characteristics tourism products.
Main Generators of the Electronic Word-of-Mouth in the Case of Hotels
Authors: Sánchez-Fernández María Dolores , Bassi Daniel Álvarez , Cardona José Ramón
Published: September 2018

Web 2.0 has allowed the internet to be a space for the exchange of opinions and information between consumers. One of the topics with the most comments is tourist services. The purpose of this chapter is to examine the role that service quality, emotional experience, and customer satisfaction play in the generation of eWOM in the context of lodging services, by using SEM. A survey was conducted among residents of Punta del Este in 2017, asking them about their last lodging in a hotel. The structural model has been tested using PLS technique. Among the results obtained, it is worth mentioning the importance of service quality for the evaluation of the client's experience, the explanatory power of service quality and emotional experience in customer satisfaction, and the main explanatory cause of the generation of online comments is the emotional experience. The main contribution of this chapter is the determination of the composition of satisfaction, experience, and generation of online comments, highlighting that there is no clear relationship between satisfaction and eWOM.
Glocalisation and Sustainable Business Solutions
Authors: Fowowe Michael Abayomi
Published: September 2018

This chapter presents glocalisation as a new global phenomenon in providing sustainable business solutions and preserving durability of the business environment in the tourism and hospitality industry. The chapter reveals that the ‘one strategy fits all' (universalism) deficiency of globalization brought glocalisation into the limelight as the best alternative strategic approach in sustaining global business relevance and promoting environmental sustainability in the 21st century business era. The strategic mix of globalization and localisation inherent in glocalisation promotes unprecedented economic growth and the development of developing and emerging economies through promotion of their cultural heritage and historical values. The chapter further discloses that prevalent of global warming giving rise to climate change in the tourism and hospitality industry which can be significantly controlled through strategic implementation of a glocal strategy. It is concluded that glocalisation serves a dual-purpose of providing sustainable business solutions and preserving the business environment.
Creating Business Value and Competitive Advantage Through Glocalization
Authors: Alharahsheh Husam H. , Pius Abraham
Published: September 2018

Glocalization is considered as one of the main contributors to value creation and development as well as for competitive advantage enhancement on a global stage. Previous studies suggest that globalization indicates the co-presence of universal and local practices. Globalization is based on the phenomenon that products or services providers have further consideration and a sense of the locality needs and wants in foreign markets instead of the assumption that parent market practices can be applied in foreign markets. The term of glocalization is a combination of globalization and localization. This chapter provides an overview supported by a range of examples of how glocalization as an organizational approach to international growth and expansion can develop a business value and create a competitive advantage.
The Business Environment as a Global Village
Authors: Bilan Sahidi Maman
Published: September 2018

Globalisation is thought of as the fast-growing move towards a world in which national economies are merging into an interdependent global economic system. A more business view of globalisation conceives it as a process by which industries transform themselves from multi-national to global competitive structures. ICT, transportation technologies and global institutions have played a determinant role in the phenomenon of globalisation. Various levels of integration have been established. Globalisation of companies has been identified as the micro level, whereas the interconnectedness of economies is termed as the macro level of globalisation. The merging of businesses is referred to as the meso level. Thus, all these levels must be differentiated when dealing with its issues and should be understood as different interrelated stages. If at the heart of globalisation is the interdependence and integration of the national economies into global economy, does it also mean that cultural differences for instance have been subsumed or sublated?
Globalization and Global Code of Tourism Ethics
Authors: Queirós António dos Santos
Published: September 2018

In the framework of the globalization of tourism, this chapter discusses the concepts of modern ethics and morality, on a critical perspective to the dominant standpoint that set the morale in the order of the rules and social conventions and leave the ethics on the field of personal experience. The critical essay postulates three fundamental theses: 1. The environmental philosophy builds a new ontology created by the critique of anthropocentrism; 2. But, only their articulation with a new epistemology, founded in the critique of ethnocentrism, could lead to a new ethics universal theory; 3. However, the applied ethics of environmental philosophy needs a new global political ethics shaped on the critique against political alienation. Consequently, the global code of ethics for tourism must be refunded on the light of environmental philosophy and takes an imperative character.
Analysis of Themes and Issues in Neurodevelopmental Disorders
Authors: Venkatesan Srinivasan
Published: September 2018

The study of neurodevelopmental disorders is beset with many issues and pitfalls. If its types are attempted to be explained at the molar developmental, environmental, and behavioral level, there is another explanation at the molecular brain or genetic level. The clinician can stumble into an error at any level while addressing these conditions. The origins and history of the neurodevelopmental model are followed in this chapter by sections on classification, theories, nature, types, and misperceptions. A lifespan approach, use of clinical reasoning, and decision making to sift critical signals from considerable noise during diagnosis are cautioned. The fears of making no diagnosis, patient's perspective, evidence-based practice, and static versus dynamic diagnosis, cultural practices, and other related issues in Indian scene are addressed. Ongoing and unexplored areas like use of animal models, delay versus difference approach, and contemporary parenting practices are explained with a status report on available treatments and engagements to be undertaken in future.
Application of Advanced Hearing Aid Technology in Pediatric Hearing Aid Fitting
Authors: Prabhu Prashanth
Published: September 2018

Pediatric hearing aid fitting has always been a challenge for an audiologist. There are lots of technological advances in the field of hearing aids which are yet to be verified and used in the pediatric population. The chapter focuses on reviewing the recent advancements in hearing aid technology which can benefit children with hearing impairment. It is attempted to determine the application of these technology in pediatric hearing aid fitting. The lack of translational research to provide empirical evidence in this area is highlighted. It is stressed in the chapter that audiologists should use their clinical knowledge and use appropriate verification methods to make appropriate recommendations in pediatric hearing aid fitting.
Animal-Assisted Therapy as a Treatment for Autism Spectrum Disorder
Authors: Pellew Nicola Claire
Published: September 2018

Research studies report that animal-assisted therapy (AAT) may be an effective alternative method for treating autism spectrum disorder (ASD). However, the presence of many methodological weaknesses and the limited replication of such studies have resulted in divided opinion on the actual effectiveness of AAT for treating ASD, and much hesitancy surrounding its use. Reliable clinically based studies must be conducted if this uncertainty is to be put to rest. Because these studies require the participation of physicians who are often hesitant to participate, it is suggested that leadership interventions be used as tools to encourage their participation in AAT research. This chapter aims to discuss the necessity for physician participation, the reasons for the lack of clinician participation in such research, and recommendations for encouraging physician and policymaker participation in specifically targeted research studies.
Play Therapy for Children With Neurodevelopmental Disorders
Authors: Thapliyal Gaurav , Kotnala Sushma
Published: September 2018

A play is referred to the language of children through which they express and communicate their feelings, thoughts, and behavior in a playful way. Play therapy enables children to gain an understanding of themselves and the world around them and helps them to overcome behavioral, emotional, social, and various other issues through play activities. The chapter majorly focuses on the effectiveness of play therapy in different neurodevelopmental disorders. Recent trends and studies suggested that play therapy is one of the most favored therapeutic approaches used in the children with various neurodevelopmental disorders.
Internet-of-Things-Enabled Pre-Screening for Diseases
Authors: Edoh Thierry Oscar
Published: September 2018

This chapter focuses on the screening for non-communicable diseases (NCDs), which in certain cases are likely caused by infectious diseases. The screening for NCDs in this specific case remains challenging since the convergence between both non-infectious and infectious diseases is less investigated. This chapter, therefore, aims at reviewing and addressing the challenges and limitation of the conventional methodologies for screening for diseases, in general. The chapter further proposes an innovative screening paradigm based on the internet of things technology. The chapter presents the state of the art on the conventional screening for diseases, discusses the fundamental difference between screening for diseases and diseases surveillance and monitoring, and the difference between screening for diseases and diseases diagnostics.
Barriers to Adoptions of IoT-Based Solutions for Disease Screening
Authors: Hiwale Sujitkumar , Ulman Shrutin , Subbaraman Karthik
Published: September 2018

Change of disease patterns from communicable to chronic diseases has a tremendous impact on the healthcare ecosystem. For healthcare organizations to remain viable and economically sustainable during this transition, there is a desperate need of cost-effective solutions for chronic disease management. One important strategy for this is early diagnosis and management of diseases. With rapid technological advancements, IoT-based solutions are well-positioned to be an effective tool for disease screening and health monitoring provided that they are also able to bridge non-technical barriers in technology adoption. The three primary stakeholders for screening solutions are healthcare organizations, clinical fraternity, and end-users. The primary objective of this chapter is to review likely barriers in adoptions of the IoT solutions from the perspective of these three primary stakeholders.
Early Diagnostics Model for Dengue Disease Using Decision Tree-Based Approaches
Authors: Gambhir Shalini , Kumar Yugal , Malik Sanjay , Yadav Geeta , Malik Amita
Published: September 2018

Classification schemes have been applied in the medical arena to explore patients' data and extract a predictive model.This model helps doctors to improve their prognosis, diagnosis, or treatment planning processes.The aim of this work is to utilize and compare different decision tree classifiers for early diagnosis of Dengue. Six approaches, mainly J48 tree, random tree, REP tree, SOM, logistic regression, and naïve Bayes, have been utilized to study real-world Dengue data collected from different hospitals in the Delhi, India region during 2015-2016. Standard statistical metrics are used to assess the efficiency of the proposed Dengue disease diagnostic system, and the outcomes showed that REP tree is best among these classifiers with 82.7% efficient in supplying an exact diagnosis.
Applications of Machine Learning in Disease Pre-screening
Authors: Kumar Upendra
Published: September 2018

Computers in disease prescreening are utilized to interpret medical information. This is known as computer-aided pre-screening tool (CAPST). CAPST helps in improving the accuracy of diagnosis in medicine. The medical experts usually take the outcome of the CAPST as a second opinion to make the final diagnostic decisions. Fast and accurate prediction of disease risk and diagnosis is crucial step for the successful treatment of an individual. The AI-based machine learning technology has undergone significant developments over the past few years and is successfully used in many intelligent applications covering problems of variety of domains. One of the most stimulating questions is whether these techniques can be successfully applied to medicine in disease pre-screening and diagnosis and what kind of data it requires to be trained and learned. There are so many real-time examples of the problems where machine learning methods are applied successfully, especially in medicine. Many of them showed significant improvement in classification accuracy.
Safety and Regulatory Aspects of Systems for Disease Pre-Screening
Authors: Mohammad Sagar
Published: September 2018

Pre-screening solutions for disease prediction fall under medical device regulations because of the intended purpose of diagnosis. The chapter begins with an overview of the medical device regulations focusing on the two major regulations. The definition of a medical device to the guideline of how a medical device is classified is then discussed. The later part of the chapter covers the design control process with stages of user needs translating to requirements, the design process with the design outputs, design verification conforming that the design is right, followed by design validation that proves that a right medical device is made. The risk management, usability engineering, and security and privacy risk management are part of the product realization process. Having a clear regulatory strategy and plan beginning with the list of target countries and intended use followed by identification of all the applicable product standards is vital. The process thus culminates in the design and development file which is a formal document that describes the design history of the medical device.
Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms With the Allied Framework
Authors: Figueroa Cristhian , Vagliano Iacopo , Rocha Oscar Rodríguez , Torchiano Marco , Zucker Catherine Faron , Corrales Juan Carlos , Morisio Maurizio
Published: September 2018

Data published on the web following the principles of linked data has resulted in a global data space called the Web of Data. These principles led to semantically interlink and connect different resources at data level regardless their structure, authoring, location, etc. The tremendous and continuous growth of the Web of Data also implies that now it is more likely to find resources that describe real-life concepts. However, discovering and recommending relevant related resources is still an open research area. This chapter studies recommender systems that use linked data as a source containing a significant amount of available resources and their relationships useful to produce recommendations. Furthermore, it also presents a framework to deploy and execute state-of-the-art algorithms for linked data that have been re-implemented to measure and benchmark them in different application domains and without being bound to a unique dataset.
Learning to Suggest Hashtags
Authors: Kalloubi Fahd , Nfaoui El Habib
Published: September 2018

Twitter is one of the primary online social networks where users share messages and contents of interest to those who follow their activities. To effectively categorize and give audience to their tweets, users try to append appropriate hashtags to their short messages. However, the hashtags usage is very small and very heterogeneous and users may spend a lot of time searching the appropriate hashtags. Thus, the need for a system to assist users in this task is very important to increase and homogenize the hashtagging usage. In this chapter, the authors present a hashtag recommendation system on microblogging platforms by leveraging semantic features. Furthermore, they conduct a detailed study on how the semantic-based model influences the final recommended hashtags using different ranking strategies. Moreover, they propose a linear and a machine learning based combination of these ranking strategies. The experiment results show that their approach improves content-based recommendations, achieving a recall of more than 47% on recommending 5 hashtags.
TBSGM
Authors: Jin Fusheng , Yang Yifeng , Wang Shuliang , Xue Ye , Yan Zhen
Published: September 2018

Subgraph matching, which belongs to NP-hard, faces significant challenges on a large scale graph with billions of nodes, and existing methods are usually confronted with greater challenges from both stability and efficiency. In this article, a subgraph matching method in a distributed system, tree model-based subgraph matching method (TBSGM) is proposed. The authors provide a transformed efficient query tree as a replacement for a query graph. In order to get the tree, they present a cost evaluation model which may help to generate the efficient query tree according to network communication-cost and calculation-cost evaluation. Also, a key set based indexing strategy for intermediate results is given to simplify the matching results during network communication. Extensive experiments with real-world datasets show that TBSGM significantly outperforms other methods in the aspects of scalability and efficiency.
Role of Distance Metric in Goal Geometric Programming Problem (G^2 P^2) Under Imprecise Environment
Authors: Ghosh Payel , Roy Tapan Kumar
Published: September 2018

The objective of this article is to tie a knot between distance measure and fuzzy and intuitionistic fuzzy optimization through goal programming. Firstly, a distance measure for an intuitionistic fuzzy number is developed, and then it is implemented into an intuitionistic fuzzy nonlinear goal programming. Then using some conditions, the distance measure of intuitionistic fuzzy number is converted into distance measure of fuzzy number and a comparative study using a numerical example is shown for highest applicability of distance measure based intuitionistic fuzzy goal programming than distance measure based fuzzy goal programming.
On Multi-Fuzzy Rough Sets, Relations, and Topology
Authors: Varma Gayathri , John Sunil Jacob
Published: September 2018

This article describes how rough set theory has an innate topological structure characterized by the partitions. The approximation operators in rough set theory can be viewed as the topological operators namely interior and closure operators. Thus, topology plays a role in the theory of rough sets. This article makes an effort towards considering closed sets a primitive concept in defining multi-fuzzy topological spaces. It discusses the characterization of multi-fuzzy topology using closed multi-fuzzy sets. A set of axioms is proposed that characterizes the closure and interior of multi-fuzzy sets. It is proved that the set of all lower approximation of multi-fuzzy sets under a reflexive and transitive multi-fuzzy relation forms a multi-fuzzy topology.
Coupling Multivariate Adaptive Regression Spline (MARS) and Random Forest (RF)
Authors: Nagpal Arpita , Singh Vijendra
Published: September 2018

In this article, a new algorithm to select the relevant features is proposed for handling microarray data with the specific aim of increasing classification accuracy. In particular, the optimal genes are extracted using filter and wrapper feature selection algorithms. Here, the use of non-parametric regression algorithm called Multivariate Adaptive Regression Spline (MARS) followed by proposed Random Forest Statistical Test (RFST) algorithm are being studied. The study evaluates the comparative performance of the results of RFST and MARS with existing algorithms on ten standard microarray datasets. For performance analysis, three parameters are taken into consideration, namely, the number of selected features, runtime, and classification accuracy. Experimental results indicate that different feature selection algorithms yield different candidate gene subset; therefore, a Hybrid approach is applied to determine the best candidate genes to provide maximum information about the disease. The findings foretell that the RFST is performing better on six out of ten datasets whereas MARS is performing better on other datasets.
Assessment of Sit-to-Stand Movements Using a Single Kinect Sensor
Authors: Zhao Wenbing , Espy Deborah D.
Published: September 2018

The aim of this article is to show that the absolute measurement difference between the Kinect-based system and the marker-based system for the sit-to-stand exercise is less important provided that the difference is caused by systematic errors in the Kinect measurement. Three healthy individuals participated in this study. Marker trajectories and Kinect skeletal joint data were collected while each subject performed the sit-to-stand exercise. Three key parameters, the initial, minimum, and maximum hip angles obtained from the two systems are compared. This preliminary study shows that the Kinect-based system has good agreement with the marker-based system, and it has comparable between-trial reliability and variability to those of the marker-based system. This study shows that Kinect can be used to reliably assess the quality of the sit-to-stand exercise provided that the systematic measurement errors are compensated. This study establishes the foundation to implement a Kinect-based system to automatically monitor, assess, and provide realtime feedback to a patient who carries out the sit-to-stand exercise with or without the supervision of a clinician.