bluuebunny/crossref_metadata_2025 huggingface dataset:
eCoaching to Support Internship and Induction
Authors: Weiss Margaret , Glaser Holly , Regan Kelley S.
Published: July 2022

The purpose of this chapter is to provide an in-depth description of an eCoaching program developed to support nontraditional interns in their culminating internship experience. Leveraging the technology and adaptability of coaching, the program described in this chapter could also be used to support traditional interns and in-service teachers through induction. The program includes five steps that are focused on targeted goals, frequent feedback, and learning to mastery. The program culminates in a final conference that emphasizes the need for interns to develop a self-coaching mindset in order to be effective practitioners. eCoaching can be used as a stand-alone program or in combination with existing practices of a teacher preparation or induction program. Outcomes of the eCoaching program and adaptations will be shared.
Enhancing First-Year Teacher Capacity Through Ongoing Relationships
Authors: Powell Karsten K. , Rossi Kirstin A. , Battalio Rosemary L.
Published: July 2022

This chapter investigates first-year teachers' development and how participating in a teacher education faculty-led mentoring program accelerated their transition from student to teacher. Traditional teacher induction involves pairing a veteran teacher with a first-year teacher and completing activities, mainly at the start of the school year. High teacher turnover indicates this approach to induction is insufficient and fails to mirror theories of teacher development. Authors use a case study approach to understand how faculty and graduates' relationships bridge the transition to the teaching profession. Field notes and interviews with teachers now in their second year inform the study. Data reveal that teachers used meetings to reflect and be vulnerable with facilitators, which allowed them time to find their allies in the schools. Authors propose solutions including developing PK-12 and teacher education partnerships and future research further investigating the long-term influence relationships-based mentoring has on teacher retention.
Viscous Flow and Its Effect
Authors: S. Kaliappan , M. D. Raj Kamal , D. Joseph Manuel , V. Balaji , P. Murugan
Published: July 2022

Viscosity is a property that expresses the internal drag of a fluid to motion; impact of viscosity states the statics and flows. Statics means whenever fluids at zero velocity have no relative movements between layers of fluid and thus du/dy = 0. At the time there is no shear stress and viscosity of the fluid is free. Fluid viscosity plays a major role on the fluid floating in it. The authors focused on solids and fluids and the no slip condition, momentum transfer through molecular motion, shear stress and viscosity, Couette flow, and Poiseuille flow. Here the authors made a discussion the Newtonian viscous flow, and the statement of Newton's law of viscosity was examined. The discussion has been extended up to viscosity and the effect of their temperature and impact of increasing in temperature has been explained along with surface tension.
Thermodynamics of Fluids in Motion
Authors: S. Rathinavel , S. Senthil Kumar , T. S. Senthilkumar , V. Vignesh Kumar
Published: July 2022

Thermodynamics is a science that deals with energy (heat and work) transformations and properties of substance that are affected by these transformations. Thermodynamics has been a significant part for a long time in engineering field with broad application areas such as power plants, transportation vehicles, and some direct energy conversion devices. Generally, the chemical scientist focuses on chemical reactions, phase equilibrium, and catalysis. Also, it is necessary to check whether the reactions were completed or proceed to a precise limit only. Thermodynamics also contributes to the above-mentioned chemical arena. This chapter discusses the introductory part of thermodynamics, work and energy transfer, laws of thermodynamics, principles of energy conversion, combined forms of first law and second law of thermodynamics, thermodynamic relations, and fluid compressibility. The above-mentioned issues have been well presented with inclusion of short notes. Also, illustrative example problems are solved.
Shock Reflections and Intersections
Authors: V. Paramaguru , C. Suresh , A. Sankaran , Francis Bernard A. P.
Published: July 2022

This chapter is dedicated to the shock wave reflections and intersections. Each topic offers a pictorial representation of the physical and shock polar plane for a better understanding of the shock wave reflections and intersections. This chapter contains an introduction to the shock-shock interference under the various real-life examples of the intersection of different and same family shock waves in a solid boundary, wave reflections from the free boundary, Mach reflections (lambda shock wave), intersection of shock from different or opposite families (Type I Interference), intersection of intense shocks of opposite families forms normal shock (Type II Interference), intersection of strong and weak oblique shocks of different families (Type III Interference), intersection of normal shock with oblique shock (Type IV Interference), intersection of weak oblique shock with intense shock (Type V Interference), intersection of the weak shock of same families (Type VI Interference).
Parametric Effect of Roughness Over an Airfoil
Authors: Uppu Shiva Prasad , Athota Rathan Babu , K. Sathish Kumar , N. Dilip Raja
Published: July 2022

This chapter is focused on the roughness effect to evaluate the flow in order to examine the flow dynamics around airfoil for better aerodynamic efficiency. CFD analysis is done on the airfoil with circular roughness placed at two different positions, 25% and 65% chord length with two different Reynolds number. In this case, the boundary layer increased significantly due to decrease in velocity of flow resulting in increment of pressure gradient. From the computational and experimental investigation from many researchers, it is evident that adverse pressure gradient even becomes so large that the flow is forced back against the actual flow direction. In the current chapter, at 15 degrees angle of attack there was an effective increase of 65% in the aerodynamic efficiency due to roughness. There was an increase in stall angle, which refers to sudden increment of drag resulting from the aerodynamic and geometric variations over the infinite wing. With increase in Reynolds number, there is an increase in the effect of roughness at higher angles of attack.
A Macro-Scale MOOC Analysis of the Socioeconomic Status of Learners and Their Learning Outcomes
Authors: Ruipérez-Valiente Jose A.
Published: July 2022

The digitalization of education has been continuously growing and deeply transforming some of the core practices across all teaching and learning levels. Meanwhile, the COVID-19 pandemic had an accelerating effect on this process. In this sense, one of the most disruptive media over the last decade to democratize digital education has been massive open online courses (MOOCs). However, previous studies have found access and achievement gaps concerning the socioeconomic status of the country. This chapter aims to conduct a large-scale study on the relationship between Human Development Index (HDI) and access, completion, and certification by analyzing data from 8 million learners across 12 MOOC providers. The findings of this chapter will offer timely perspectives, particularly on which of the previous trends are universal and context-dependent toward future inclusive design practices. In an era where online education is enabled and formalized, this chapter calls for further educational research and governmental actions dedicated to delivering inclusive online learning experiences.
Development of a Socioeconomic Inclusive Assessment Framework for Online Learning in Higher Education
Authors: Fung Chorng Yuan , Su Sueh Ing , Perry Esther John , Garcia Manuel B.
Published: July 2022

Higher education institutions worldwide were compelled to deliver their courses online due to mobility restrictions and lockdowns during the COVID-19 pandemic. This sudden shift has disrupted the educational system leaving millions unprepared for the new mode of instruction. One critical area that received little attention during this transition is student assessment. Many assessment methods designed for face-to-face classes have been adapted for online learning without much consideration. The conversion to emergency remote education has likewise exacerbated existing and uncovered new socioeconomic issues that demand immediate action. A scoping review has been carried out to map the concepts and develop a socioeconomic inclusive assessment framework for online learning in higher education. This framework will serve as a guide in designing assessment tasks that are more socioeconomically inclusive, making online learning more equitable. This chapter offers practical implications for developing a more inclusive assessment design that is beneficial to a broader group of students.
A Critical Analysis of the Governance of the Moroccan Education System in the Era of Online Education
Authors: Amaghouss Jabrane , Zouine Marouane
Published: July 2022

The Moroccan education system is faced with the difficulty of instituting good governance to improve the quality of academic services and pursue a sustainable sector performance. Unfortunately, the challenge has become more complicated with the adoption of online education as a response to the COVID-19 crisis. This chapter is primarily grounded on the tracks of improvement of the educational system governance by grounding on its literature (theoretical and empirical), clarifying the regulatory and institutional framework of the educational system, and presenting the stakes of the MASSAR system as well as the mechanism that it exerts in the approximation and the bringing together of the stakeholders. Finally, the authors give attention to the governance of the Moroccan education system in the era of online education. The results show that the educational governance is far from being completed and that the COVID-19 crisis has reinforced pre-existing inequalities, thus questioning the effectiveness of the governance system in the education sector.
Customer Experience Management
Authors: Uçar Pınar
Published: July 2022

The growing attention to the customer experience is the result of the increasing complexity of channels, interactions, choices, and customer journeys. Businesses try to overcome these challenges by increasing their efforts comprehensively. Organizations depict and manage customer experiences through customer journeys (including multiple touchpoints representing direct and indirect customer interactions with the organization). Businesses need to plan and manage the elements that will arouse curiosity and interest and direct them to purchase behavior. This chapter explains almost all concepts related to customer experience management such as customer experience, classification of customer experience, digital customer experience, luxury customer experience, and customer experience control, and offers suggestions to businesses within these concepts.
Experiential Marketing and Practices
Authors: Bayır Talha
Published: July 2022

Experiential marketing creates lasting happiness and satisfaction by influencing the desires and emotions of consumers at the point of transforming the product or service into utility and symbolic value. This study aims to look at the examples and outputs of experiential marketing, which is one of the important marketing approaches to achieving customer satisfaction and customer loyalty. For this purpose, the concept of experiential marketing, dimensions of experiential marketing, stages of customer experience management, experiential marketing practices (Starbucks, IKEA, Nike Town, Disneyland, and Abercrombie & Fitch) customer satisfaction, and customer loyalty are discussed theoretically in this study. Then, the effect of experiential marketing practices on customer satisfaction and customer loyalty is presented. Finally, theoretical information is presented that experiential marketing application examples are an important tool in creating permanent happiness and satisfaction by influencing the sense of pleasure of consumers in the conclusion part.
The New Phenomenon of Authentic Experience in the Tourism Industry
Authors: Yağmur Yenal , Demirel Altan
Published: July 2022

Global competition conditions in the tourism sector are getting more intense day by day, and tourist behavior is changing in many ways. In this respect, the ability of businesses to adapt to these situations is a prerequisite for their survival in the future. Businesses in the tourism industry need to develop strategies and understanding that will emphasize the uniqueness of the products they offer and highlight the difference of products from others. Also, businesses need to develop a different strategy or understanding to provide tourists with an unforgettable experience and competitive advantage. The facts that the basic component of the experiential marketing paradigm is experience and that experience is the essence of tourism products have led this paradigm to come to the fore in terms of tourism businesses. This study aims to reveal how businesses can adapt themselves to this new paradigm by emphasizing the importance of experience marketing for businesses in the tourism industry.
Theme Park Experiences in the Tourism Industry
Authors: Emiroglu Begum Dilara
Published: July 2022

Today, high product and service quality is no longer valid for consumers to choose them. Consumers look for unique experiences beyond services and products. Customer experiences are highly related to the tourism industry. Tourism is a service sector with intense experience. Customers not only buy products but also gain experience. Theme parks are star players in the tourism industry. In the tourism industry context, theme parks are places of entertainment where visitors experience mostly hedonic goods and services and thus are characterized as real pioneers of the experience economy. Therefore, theme park experiences are of great importance to the tourism industry. Therefore, in this chapter, the concept of experience, its importance in the tourism industry, and theme park experiences will be included, and some suggestions will be made for future research by giving solutions and recommendations in terms of managerial implications.
Gamers and Customer Engagement
Authors: Bical Adil
Published: July 2022

Video games have become one of the most prominent leisure tools in today's society. As individuals with an intense association with games, they expect a game-like experience in shopping or other areas. Hence, brands face a “gamer consumer” audience. Also, for the long-standing customer-brand relationship, the importance of customer engagement is increasing; gamification offers an excellent opportunity to involve consumers in the activities of the brand. The contribution of gamification to marketing efforts is highlighted in two forms: the first is that it provides customers gameful experience in non-gaming environments, and second, it encourages engagement by integrating game elements into non-game areas. In this chapter, it is theoretically explained how customer engagement in gamification occurs in two dimensions over a proposed model. Then, through successful marketing gamification examples (Adidas, Alipay, MINI, the Karl Lagerfeld, Subway), it is presented how customers are connected to both the gamified system and marketing purposes.
Emphasis on Design Principles in the Context of Communication Technologies in Mobile Advertising
Authors: Dölkeleş Gülce
Published: July 2022

Design, technology, and communication are facts that can't be separated from each other. Because in the process of communication and processes from the technology bar, each one is a design process. Just as with design, ideas are generated from a problem in the process of communication and technology. Actions are being taken to bring the ideas produced to live. Communication processes and technology are the intertwined design of products. Visual communication design has an effective expression. From the design in the packaging of a product to the logo of a company and the colors used in the advertisement created for service to the symbol of a brand, the role of the design is high in communication between the customer who is the target audience. The purpose of this chapter is to focus on slogans and visuals in advertisements. This chapter will consist of the title introduction, background, main focus of the chapter, solutions, recommendations, future research directions, and conclusion.
Role of Deep Learning in Weed Detection
Authors: Srivastava Kavita
Published: July 2022

Deep learning, robotics, AI, and automation have lots of applications that are beneficial to society at large. In fact, nearly every sector, such as transportation, industries, manufacturing, healthcare, education, retail, and home automation, are adopting AI, machine learning, IoT, and robotics to their advantage. Of course, agriculture is no exception. The chapter starts with an introduction to the applications of deep learning in agriculture. Next, a comprehensive survey of the research work done in recent years is provided. It is followed by the description of various techniques of deep learning (DL). The next section briefly describes the traditional ways of weed detection and removal. Next, the architecture of deep learning for weed detection and removal is presented along with the associated code. Further, the chapter goes on to discuss the pros and cons of this approach. Finally, the chapter concludes by citing the important points discussed in this study.
Evaluation of Machine Learning Techniques for Crop Yield Prediction
Authors: Goel Divya , Gulati Payal , Jha Suman Kumar , Kumar Dr Nitendra , Khan Ayoub , Kumari Priti
Published: July 2022

The agricultural segment is a major supporter of the Indian economy as it represents 18% of India's GDP, and it gives work to half of the nation's work power. The farming segment is required to satisfy the expanding need for food because of the increasing populace. Therefore, to cater to the ever-increasing needs of people of the nation, yield prediction is done prior. The farmers are also benefited from yield prediction as it will assist the farmers to predict the yield of crops prior to cultivating. There are multiple parameters that affect the yield of crops like rainfall, temperature, fertilizers, pH level, and other atmospheric circumstances. Thus, considering these factors, the yield of a crop is thus hard to predict and becomes a challenging task. In this chapter, the dataset of different states producing different crops in different seasons is considered; further, after preprocessing the data, the authors applied machine learning algorithms, and their results are compared.
Artificial Intelligence for Improving Food Quality
Authors: Sharma Avinash Kumar , Singh Shivani , Kumar Shivam
Published: July 2022

There is no doubt about the fact that artificial intelligence (AI) has stepped into improving quality of food throughout the world. Artificial intelligence makes it possible to be done for machine to profit as a material or substance of fact examining facts from different data sources and make conclusions, and can perform most humanly tasks with more than the limits of act without any fault. Due to the interference of humans in the production and packaging of food product, there is lack in maintaining the demand supply chain and also in safety of food to prevail over these issues of food industry. Automation is the best possible solution. It wraps up an enormous amount of streaming data, often noted as “big data,” which brings fresh and new opportunities to watch agricultural and food processes. Besides sensors, big data from social media is becoming important for the food industry. During this review, the authors present a summary of artificial intelligence (AI) and its role in shaping further of agri-food systems.
The Role of Machine Learning and Computer Vision in the Agri-Food Industry
Authors: Ravikumar Aswathy
Published: July 2022

The food industry has been unable to control the demand-supply cycle and has also fallen short on food safety due to human engagement. Food production and distribution activities may be controlled more efficiently while also improving operational competence using an artificial intelligence-based solution. The food industry's future is entirely reliant on drones and also witty and robotic farming, thanks to AI and machine learning. Smart farming (soil monitoring, pest monitoring, and fertilizer management), food processing (production, processing, marketing, and customer feedback), and food safety, among other topics, need a detailed evaluation of machine learning applications in the agrifood business. It is vital to monitor production lines to ensure that the manufacturing process and products fulfill the required quality standards. A plethora of data may now be created throughout the production process due to growing digitization.
Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity
Authors: Wang Weiyu , Siau Keng
Published: July 2022

The exponential advancement in artificial intelligence (AI), machine learning, robotics, and automation are rapidly transforming industries and societies across the world. The way we work, the way we live, and the way we interact with others are expected to be transformed at a speed and scale beyond anything we have observed in human history. This new industrial revolution is expected, on one hand, to enhance and improve our lives and societies. On the other hand, it has the potential to cause major upheavals in our way of life and our societal norms. The window of opportunity to understand the impact of these technologies and to preempt their negative effects is closing rapidly. Humanity needs to be proactive, rather than reactive, in managing this new industrial revolution. This article looks at the promises, challenges, and future research directions of these transformative technologies. Not only are the technological aspects investigated, but behavioral, societal, policy, and governance issues are reviewed as well. This research contributes to the ongoing discussions and debates about AI, automation, machine learning, and robotics. It is hoped that this article will heighten awareness of the importance of understanding these disruptive technologies as a basis for formulating policies and regulations that can maximize the benefits of these advancements for humanity and, at the same time, curtail potential dangers and negative impacts.
Patterns of Self-Sufficient Companies' Network Interaction Reorganization Due to COVID-19
Authors: Pilipenko Andrey I. , Pilipenko Zoya A. , Pilipenko Olga I.
Published: July 2022

The self-sufficient companies are dialectically complex formations capable of self-movement through downward and upward causation mechanisms. They become drivers for constructing the future reality. As backbone elements of the economic system, resilient companies change both the internal structure and the external one. Under the influence of the pandemic, the technological revolution 4.0, the downward causation mechanism induces organizational changes within the companies while the upward causation one does the same with their external networking interactions. Thus, they build new structural relationships as the future economic system basis, distinguished by the dialectical interaction of the economy and society with the dominance of social preferences of individuals. Such a transformation occurs as self-sufficient companies build up intangible assets; build corporate ecosystems based on technological platforms; introduce diversity, equity, and inclusion principles into intra-company structures; and include ecological, social, and governance issues in their development strategies.
The COVID-19 Pandemic and How Brazilian Organizations Faced Its Challenges
Authors: Bandeira Bruno Luiz Bucci , Araújo Caio Eduardo Doná , Godoy Jonas William Barros , Neto João Pinheiro de Barros
Published: July 2022

The COVID-19 pandemic brought many challenges to people, organizations, and governments, and businesses were impacted by social isolation measures and falling consumption. To cope with this situation, it was not only necessary to send the workforce out of offices into remote working or telecommuting, but it was also imperative to innovate to retain customers. In this context, this exploratory study was elaborated to better understand teleworking, workers' behavior, and the usefulness of agile management methods to innovate and help companies stay competitive in the Brazilian scenario. The chapter discusses the results of three surveys conducted during the most critical period of the pandemic, which showed that working from home, despite its great economic and social advantages, needs the companies' attention to employees' potential health problems, and that companies that adopted agile management earlier were able to adapt and innovate faster to overcome the challenges imposed by the pandemic.
Innovations in the Service Industry During the COVID-19 Pandemic
Authors: Hirogaki Mitsunori
Published: July 2022

This chapter investigates the impact of the COVID-19 pandemic on the Japanese service sector and the resulting innovations to manage and respond to the difficult situation. Specifically, this study illustrates how e-commerce is emerging as a leading channel for retailers, examines the ethical awareness of both businesses and consumers, and studies the new business models resulting from this trend. Based on several case studies, this study examines the service sector's response to a series of disasters, the cultural background of consumers, and age-long corporate cultures. Additionally, the future direction of innovation in Japan's service sector is discussed and forecasted.
Dynamics of Economic Sectors and Human Mobility Before and During COVID-19
Authors: Martinho Vítor João Pereira Domingues
Published: July 2022

Considering the specific scenario of the Portuguese framework, it seems interesting to perform a research focused in this context. In fact, the Portuguese economic crisis after 2010/2011 created serious socioeconomic difficulties to the country, but in the recent years, the situation performed significant improvements. This new shock brought to the Portuguese society, again, new challenges and the need of new supports for the policies design by the public institutions and government. In this way, the objective of this research is to assess the Portuguese economic dynamics and, from here, discuss potential impacts from the COVID-19 frameworks, considering data disaggregated at regional and municipal level. For that, it considered the developments from the new economic geography, namely those related with the agglomeration processes and circular and cumulative phenomena. As main conclusions, with the social confinement, a greater economic impact around the Lisbon municipalities than in the north is expected.
The Use of Celebrity Endorsement Strategy and American Impact in Japanese Advertising
Authors: Krom Ipek
Published: July 2022

This research aims to analyze the American impact on Japanese advertising through the use of celebrity endorsement strategy. In order to reach this aim, at first the geo-politics, economy, history, and culture of Japan is analyzed. In the research, three soft cell Japanese advertisements are chosen, in which American Hollywood and pop music icons are starring. According to the results of the research, the use of American celebrities adds popularity, attractiveness, likability, sympathy, and sexual appeal to the products as well as humor appeal to the advertisements in order to draw attention. Although Japanese cultural elements can be found in the advertisements like the masculine culture, samurai heroism, and the appreciation of the Japanese working class, the advertisements are generally under the consumption imposition of American culture with higher-status symbols, upward capitalist social comparison, and sexual objectification of women.
Tourism Advertising and Destination Image Building Through Cultural Heritage in Croatia
Authors: Artuner Özder Ceren Gül
Published: July 2022

Through this research, an attempt is made to understand how Croatian coastal cities Dubrovnik and Split, with rich historical and cultural heritage, promote, market, and advertise this heritage through the official websites of local tourism organizations. In this context, after examining the general discourses on the homepage of the official websites of these cities, the discourses they adopt to promote their historical and cultural wealth in order to create a destination image are analyzed using content analysis. To do this, key concepts are discovered, and themes are determined, under which these concepts are collected inductively. The coding process is performed based on the concepts extracted from the data. Then, the two destinations, the official sites, and the sites to which they link are analyzed on the basis of the themes and concepts, discussing their weaknesses and strengths, identifying gaps, and making improvement proposals.
Black Women in Higher Education Leadership
Authors: Grottis LaShae R.
Published: July 2022

This chapter is a literature review and synthesis of historical and contemporary research examining the achievements and critical barriers to career progression for Black woman administrators in higher education. The chapter will review the theoretical lenses and historical advancement of Black women in higher education leadership, identify career barriers, and consider the supports Black women leaders use to remain in higher education administration. This chapter will contribute to understanding the trajectory of Black women leaders in higher education by bringing awareness to the barriers and identifying the supports that could inform strategies to improve the retention of Black women leaders.
Female “Blackademics” and Presentation of Self in the Academy
Authors: Smith J. Goosby , Weems-Landingham Velvet
Published: July 2022

Using Goffman's dramaturgical approach to frame their reflections upon the role stress the authors as academics, specifically Black female academics, have faced; they use auto-ethnographic methods to reflexively examine intersections of stereotypes and tropes of Black women with their efforts at navigating role stress, roadblocks, and impression management during their professorial and administrative career trajectories. After integrating their experiences within a conceptual overview of role stress and Goffman's model, the authors share their strategies to decrease the impact of role stress: finding peers with similar role sets, utilizing informal mentors, practicing peer mentoring, staying “no,” multitasking, prioritizing roles, and having fun. Finally, they share institutional practices that help them manage role stress: allowing them flexibility with teaching schedules, having a child-friendly culture, offering resources for alleviating role stress, and formal graduate school career socialization workshops.
Sistas in Action
Authors: Chamblin Michelle , Newland Lisa Zakiya , Kelly Janice , Silva Thompson Linda M.
Published: July 2022

On May 25, 2020, the death of George Floyd ignited the consciousness of many who were questioning the grave injustices of a society that is inequitable, unfair, and plagued with structural racism. For many students at Molloy College, an institution grounded in the Dominican pillars of community, study, spirituality, and service, Mr. Floyd's death marked a pivotal moment. Students called for the institution to provide guidance and action for how they could be transformation agents in addressing these issues. Responding to the call, and leading the way, four African American faculty coined Sistas in Action, created a workshop that focused on themes of anti-racism, and introduced their 3-C model for having conversations dealing with coded language. Results and impact of the workshops were demonstrated through student surveys showing greater confidence in talking about race and taking action. Discussion and recommendations concerning Black faculty leadership in partnership with the institution for the benefit of the education community is explored.
Path to College Presidency
Authors: Smith-Adams Chaundra
Published: July 2022

Higher education encompasses many individuals within its realm (i.e., faculty, students, staff, and administrators). Women, in general, have seen tremendous strides in obtaining scholastic recognition within academia: (1) published works, (2) faculty tenure, and (3) appointed to top-ranking upper-senior level administrative positions. African American women, however, are underrepresented in leadership roles in higher education. It appears the pathway toward college presidency is much narrower for women of color, to the point of almost disappearing at such high rankings of senior administration. The American College President Study found underrepresentation of women and ethnic minorities among the presidency in post-secondary educational institutions.
Voices of African American Women Presidents in Higher Education
Authors: Smith-Adams Chaundra , Butcher Jennifer T. , Reed Dianne
Published: July 2022

The purpose of this study was to examine the perceptions of African American females regarding their progression toward presidency at post-secondary educational institutions. This study described the experiences of current African American female presidents in the academy in reaching their level of professional success. Five participants, who self-identified as African American female presidents, were the first presidents of their college. The participants shared their experiences by responding to a research question that allowed them to expound on recommendations for those aspiring to achieve the position of college president. Findings from the study indicated that being knowledgeable, prepared, and having a strong identity were necessary components to achieve the position and be successful.
Fault-Based Test Case Prioritization of Regression Testing Using Genetic Algorithm
Authors: Priya T.  , Prasanna M.
Published: July 2022

Prioritization of test case technique schedules the test suite in an order which will increase the efficiency and effectiveness of the system. The test case executed in an order which enhances the probability of finding the fault and also it finds the severe fault at the early stage. The prioritization of test case is proved to be useful for the regression testing. While much research is going on code coverage based prioritization technique and requirement based test case prioritization technique is not used by many. In this paper, test case prioritization technique based on fault of regression technique is proposed from the requirement specification, to improve the software quality and to increase the fault detection rate. In this paper, test case prioritization is done based the six main factors (i) requirement based on customer priority (ii) based on changes made in requirement specification (iii) complexity in Implementation of code (iv) re-usability (v) flow of application (vi) impact of the fault.
Classification of the Senescence-Accelerated Mouse (SAM) Strains With Its Behaviour Using Deep Learning
Authors: AlRashid Sura Zaki , Dosh Mohammed Hussein , Obaid Ahmed J.
Published: July 2022

Microarray technology is a novel method to monitor the levels of expression of a huge number of genes simultaneously.this study aims at (1) identifying the most important genes in the molecular senescence of the hippocampus and retina, where both with accelerated neurological senescence (S10 and 8) models were obtainable. By using feature selection to reduce the size of high dimensional data. Hence, the process of gene selection is twofold; removing the irrelevant genes and selecting the informative genes, and (2) The determination of the study is to specify the association among these genes or pathways that would deliver insight into the mechanism for this phenotype which will be greater to the current imperfect state-of-the-art estimates. In this study, gene selection methods have been implemented, including Analysis of Variance (ANOVA). The results are showed that CNN model achieve 0.98 accuracy based on a subset of genes from ANOVA method. Thus, Genes subset selected is achieved a better accuracy at classification and a little time of processing.
Application Analysis of RFID in Library Automation Management
Authors: Li Xihong
Published: July 2022

In order to provide readers with the location information of books quickly and accurately, simplify the book borrowing process and improve the borrowing efficiency, RFID technology is introduced into the library. In this paper, based on the overall architecture of RFID library intelligent bookshelf system, through the indoor positioning algorithm, from the actual needs of the intelligent bookshelf system for book positioning, the RFID indoor positioning algorithm is selected. The simulation and performance analysis of the experimental data show that the average positioning error is the smallest when the number of nearest neighbor tags is 8, and the average positioning error of 100 times is 0.0239m.Conclusion: this method has a very high application value and provides a useful reference solution for the development of current book positioning system and intelligent shelf system.
An Implementation of Outdoor Vehicle Localization and Tracking Using Automatic License Plate Recognition (ALPR)
Authors: Kanakaraja P. , Kumar K. Sarat , Nadipalli L. S. P. Sairam , Aswin Kumer S. V.  , Kavya K. C. Sri
Published: July 2022

Controlling the traffic in the metropolitan cities and the identification of the owner of a particular vehicle becomes a difficult task throughout the world. Though traﬀic police, interceptor units and CCTV surveillance system etc. are in place for implementation of road safety rules, if the vehicle violates the traffic rules then the system must identify the vehicle details as well as the owner of the vehicle but it is not easy, if the vehicle displacement is very high. In all these cases getting a glimpse of vehicle number plate of the miscreant helps in reducing the effort and time to track him down. Automatic License Plate Recognition (ALPR) is one of the solutions to this problem. In this paper the outdoor localization for crime investigation ALPR with Pressure-based localization is proposed to find out the vehicles. Camera in place will capture the image of the Number plate automatically using the Raspberry-Pi 4.The Pressure-based localization is implemented along with the Automatic license Plate Recognition to improve the accuracy and tracing the vehicles.
Collaborative Computing-Based K-Nearest Neighbour Algorithm and Mutual Information to Classify Gene Expressions for Type 2 Diabetes
Authors: Al Rashid Sura Zaki
Published: July 2022

The classification process is used in gene expression data on venous endothelial cells of umbilical cords in humans to reveal the concepts of regulation of insulin using dynamic gene expression data for two classes, namely, control and exposed to insulin. The mutual information statistical feature selection method is used on all available datasets to select these significant genes. The data reduction results are divided into training and testing, and further supplemented to the KNN classifier for diabetes classification. The results show that the mutual information in KNN reaches the highest ranked 10,000 genes and the test classification accuracy is 100%. Pathway analysis and gene ontology enrichment are used to evaluate the targeted genes. The results clearly exhibit the importance of finding the most informative genes in the database by using the statistical gene selection technique to achieve a reduction in time and cost and increase the efficiency of the classifier. This method exhibits these significant results that can be applied to other data and diseases.
Special Education Pre-Service Teachers' Acceptance of Assistive Technology
Authors: Buabeng-Andoh Charles
Published: July 2022

To examine special education pre-service teachers’ acceptance of assistive technology, this study theorized and established associations between important variables of assistive technology acceptance, including the perceived usefulness, perceived ease of use, attitude, result demonstrability, and behavioural intention. The researcher used the convenient sampling strategy to pick the partakers. 250 questionnaires were given out to the respondents and 139 questionnaires were received. A partial least square technique was applied for the data analysis. The outcome of the inquiry was that perceived ease of use substantially influenced perceived usefulness of assistive technology; perceived usefulness was significantly associated with attitude, and result demonstrability was substantially associated with perceived ease of use. This study added to the current body of knowledge regarding the technology acceptance model for explaining intended assistive technology acceptance in educational settings.
Review on the State of the Art of Electricity Load Forecasting Methodologies in Developing and Newly-Industrialised Countries
Authors: Bakiri Hussein Abubakar , Mvungi Nerey H. , Ndyetabura Hamisi , Massawe Libe Valentine , Maziku Hellen
Published: July 2022

Existing studies in Developing and Newly-Industrialised (DNI) countries merely analysed the load demand forecasting methodologies, with little emphasis on consideration of data quality, provision of research agenda and the proposition of the design architecture of load forecasting. Therefore, this paper surveys 22 articles from 18 DNI countries, attempting to investigate the load forecasting methodologies as well as data cleansing mechanisms, and then proposes a general design framework for these countries. A systematic review protocol is applied in this study to achieve unbiased and scientific-based findings. Economic growth, number of customers, price of electricity, temperature, calendar events, and daytime found to be significant drivers of electricity consumption. Furthermore, the findings indicate that 63.64% of the surveyed load forecasting mechanisms considered the inclusion of outlier-removal preprocessors. This paper has pinpointed the issues pertaining to load forecasting in the DNI countries such that a robust model, fitting a context can be built with efficiency.
A Simple and Fast Medical Image Encryption System Using Chaos-Based Shifting Techniques
Authors: Dash Sachikanta , Padhy Sasmita , Parija Bodhisatwa , Rojashree T. , Patro K. Abhimanyu Kumar
Published: July 2022

Medical images such as brain MRI, ultrasound, and X-ray images are currently used by doctors to treat many serious diseases in most hospitals and clinics. These images play a major role in medical diagnosis. Diagnostic images with sensitive patient data are recorded and exchanged owing to the advancement of public networks. As a result, maintaining the privacy of sensitive patient data is becoming increasingly important. In medical imaging, the pixels are highly correlated. To reduce pixel correlation, a variety of complex encryption methods have been used in recent years, increasing the algorithm's computational complexity. This paper proposes an image encryption method based on chaos-based shifting operations. Security, convenience, and speed are all advantages of shifting activities. This method initially executes bit-plane flipping and permutation operations, then block-based flipping and diffusion operations to obtain the cipher images. The simulation and security analysis findings show that the proposed approach performs better.
Narrating the Culture of Resistance in Harijan Community in an Urban Area of Bangladesh
Authors: Dutta Goutam Kumar , Rahman Md. Mostafizur , Ahasan S. M. Monirul , Rahman Md. Musfikur
Published: July 2022

The culture of resistance refers to an act by a particular unprivileged community against the dominant practice of cultural norms in the larger society. It perpetuates the clash between dominant and alternative cultural meanings developed by mainstream society and marginalized subgroups. We aimed to narrate the culture of resistance in the Harijan community in urban Bangladesh. We adopted Observation, In-depth Interview (IDI), Key Informant Interview (KII), and General Discussion as data collection tools to obtain data from the Harijan community to narrate it. The findings revealed that Harijan people struggled to survive with ‘intra’ and ‘inter’ community competition. Moreover, they resist in everyday activities through some cultural norms and practices such as keeping silent, avoiding any untoward situation, acting differently with mainstream people, following conventional customs as well as mainstream people’s law, and making common temples for their religious occasion’s observance. Therefore, they survive in their everyday lives by adopting this simple resistance mechanism.
Effect of Yield Strength on the Static and Dynamic Behaviours of Cylindrical Contact
Authors: Jana Tamonash , Mitra Anirban , Sahoo Prasanta
Published: July 2022

The present paper considers the influence of yield strength on static and dynamic behaviour of cylindrical contact interface. The semi-cylinder is assumed to be in plane stress condition. A quasi-static analysis is executed by means of finite element (FE) software package ANSYS 18.2 to obtain several contact parameters. A key parameter, quantifying nonlinearity for the single-asperity cylindrical contact system is educed from the interference-contact force plot. The dynamic characteristics of the cylindrical contact interface is investigated by utilizing this parameter. In order to investigate the same, the contact interface is represented by a single degree of freedom spring-mass-damper system and the analysis is carried out for free-undamped as well as forced-damped vibration. It is found that, with higher Young’s modulus, the dynamic contact system becomes more nonlinear in nature. It is found that, with lower value of yield strength, the dynamic contact system becomes more nonlinear in nature. Moreover, the contact system is found to possess hardening type of nonlinearity.
An Integrated Framework for More Efficient Web Services Selection Using an Improved Fuzzy AHP
Authors: Ouadah Abdelaziz
Published: July 2022

With the rapid development of Cloud Computing and Service Oriented Computing, the process of selecting web services which gives the same functionality with different quality of service (QoS) become an important issue. To deal with the large number of Web services candidates, K-representative Skyline is appeared as a Skyline variant to find the short list of the most relevant Web services that represent a summary about the full skyline Web services result. However, it returns generally a conflicting result. To rank-order K-representative Skyline Web Services, we propose an improved Fuzzy AHP which allows to: i) elicit the QoS importance level using linguistic terms based on natural language, asking fewer efforts to users, ii) reduce the number of inputs and generate automatically all pair-wise matrix of Skyline Web services with respect to each attribute. The experimental evaluation conducted on real world dataset illustrates the feasibility and the effectiveness of our framework in comparison with existing works.