\r\n\tBook, “Mites, Ticks and Humans", is written by keeping in vision non-availability of any standard text dealing in different aspects of acarology at one place. Separate chapters in this book are devoted to medical importance of mites and ticks; ectoparasites, endoparasites and disease transmitting mites; classification, biology and epidemiology of dust mites; manifestations, diagnostics and preventions of dust mites allergy; ticks transmission of disease causing pathogens; and measures to mitigate mites and ticks. Book will stimulate interest in the readers for more information about different mites and ticks affecting publics. The knowledge contained in the book may prove as best material for graduate and post-graduate level courses, teachers and researchers in entomology, pestss control advisors, professional entomologists, pesticide industry managers, policy planners, and other experts having interest in mites and ticks.
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He is also currently working for the Pakistan Atomic Energy Commission. He completed his post doctorate in 2008, funded by the Higher Education Commission of Pakistan from the Institute of Plant Protection in the Chinese Academy of Agricultural Sciences, Beijing, China. He has several hundred published papers to his credit and is recipient of the Shield award, letters of appreciation, and certificates of performance from faculty members of the Chinese Academy of Agricultural Sciences, Beijing, China. In 2010, the Zoological Society of Pakistan presented him with the Prof. Dr. Mirza Azhar Beg Gold Medal. In 2011, the Pakistan Council for Science and Technology awarded him a Research Productivity Award.\n\nHis research activities focus on integrated pest management for rice, cotton, chickpea, and Brassica crops; predatory mites, ladybird beetles, Chrysoperla, Trichogramma, and parasitoids of fruit flies culturing as bio-control agents; integrated management of fruit flies and mosquitos; and other arthropod pest control methodologies. He has also researched vertebrate pest control, especially controls of rodents in field crops and storage. He was the first to explore thirty-six new species of stored grain mites belonging to eight genera, including Forcellinia, Lackerbaueria, Acotyledon, Caloglyphus, and Troupeauia in the Acaridae family; and Capronomoia, Histiostoma, and Glyphanoetus in the Histiostomatidae family. He also planned and designed research trials on the integrated management of cotton leaf curl virus (CLCV), pest scouting, pest monitoring, and forecasting. 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Entrepreneurship as an academic field and societal trend appears to be growing. The field of entrepreneurship is defined as “…the study of sources of opportunities; the processes of discovery, evaluation, and exploitation of opportunities [1].” Entrepreneurs are “…individuals who discover, evaluate, and exploit them [opportunities] ([1], p. 217).” Entrepreneurs may be of nearly any age from school age children to older adults.
Despite the reality that there are entrepreneurs of all ages, far too many of us automatically imagine that the entrepreneur is an adult in their early 20s to mid-30s, college educated, and has launched a technological venture. One study found that the mean age for launching a company is in the late 30s to early 40s [2]. The Kaufmann Foundation [3] found that the most frequent ages of entrepreneurs in descending order in 2019 were the following: 20–34 (27.2%); 55–64 (25.1%); 45–54 (24.8%); and 35–44 (22.9%). This age breakdown reflects a change from 1996 during which it was found that as age increased, the rate of new entrepreneurs decreased. The Kaufmann Foundation is missing two age cohorts: entrepreneurs under the age of 20 and entrepreneurs 65 and older. This chapter will focus on entrepreneurs along the age continuum.
Regardless of the age of the entrepreneur, there are both common challenges and unique challenges. Furthermore, there are also common and unique opportunities. This chapter will first frame entrepreneurship from a developmental theoretical frame and then review the literature on the relationship between age and entrepreneurship. This literature review will not be exhaustive due to space limitations. After theorizing about entrepreneurship and reviewing the pertinent literature, the challenges and opportunities experienced by entrepreneurs at different ages will be described. These challenges and opportunities will be discussed not just from the lens of the entrepreneur but entrepreneurial ecosystems. Toward the end of this chapter, recommendations will be presented for entrepreneurs of specific age groups and entrepreneurship support organizations (ESOs). Next, a research agenda with specific hypotheses will also be presented for academics to include age as a key variable in research. Finally, recommendations will be formulated for entrepreneurship educators in formal and informal educational settings.
2. Theoretical frame: developmental perspective
The theoretical frame in this chapter is grounded in a developmental perspective drawing upon Amartya Sen’s capability approach. Sen equates human development with the enlargement of positive freedoms [4]. A related concept of Sen’s capability approach is agency. Agency is “a person’s ability to pursue and realize the goals that he or she values…the opposite of a person with agency is someone who is forced, oppressed, or passive ([4], p. 3).” Moreover, human agency is a central concept among motivation theories [5].
This capability approach is reinforced with a lifespan developmental approach drawing upon Baltes [6]. According to Baltes [6], “Lifespan developmental psychology involves the study of constancy and change in behavior throughout the life course (ontogenesis), from conception to death (p. 611).” The behavior of focus in this chapter is entrepreneurial activity. A team of researchers [7] assert citing the body of research, “Individuals’ orientation toward entrepreneurial activities differs depending on where they stand in their lifespans (p. 1).” Our lifespans are typically measured by age and occasionally by developmental periods such as adolescence.
Yet, age is a more commonly used marker of human development. There are two categories of age: chronological and subjective. Chronological age is marked by date of birth or the number of years alive. Varying patterns of entrepreneurship have been documented regarding chronological age [8]. In contrast to chronological age, subjective age is how young or old an individual experience themselves to be [9]. Beyond chronological age, age-related factors such as a future time perspective account for changes in motivation [10]. Hence, age is objective and subjective as well as static and dynamic.
Age is not the only marker of the development of human development and entrepreneurship. It was empirically found that entrepreneurial activity varies by age, yet this relationship is mediated by perceived opportunities and perceived skills [11]. As it relates to opportunities, it was found that entrepreneurial intent among high school students was positively influenced by parents first, peers second, and the neighbors third [12]. Hence, entrepreneurs are embedded in a social context. The impact of context on the development of entrepreneurial behavior is well established [13]. Furthermore, in one study, it was empirically demonstrated that entrepreneurs embedded in a supportive social context are more likely to translate their entrepreneurial intent into an actual startup [14].
Any discussion of development circles back to the nature/nurture debate. The nature/nurture debate will not be resolved here. Yet, the evidence is clear that the chances of a child becoming an entrepreneur is increased by 60% if one of the parents is an entrepreneur [15]. This finding does not address the degree to which entrepreneurship is influenced by genetics. Obschonka [16] writes, “Recent research in behavioral genetics suggests that entrepreneurship has a substantial genetic component (p. 196).” Regardless of the relative contributions of nature or nurture, Obschonka [16] concludes that, “…adolescence is a crucial developmental phase in entrepreneurial development (p. 200).” Another period of an increase in entrepreneurial activity is job loss of individuals over the age of 50 as described by Moulton and Scott [17]: “We find that job loss shows a strong association into self-employment, particularly less desirable forms of self-employment (p. 1539).” This finding is important because it demonstrates that entrepreneurship or self-employment is not inherently desirable.
Returning to the nature/nurture debate, entrepreneurship educators assume that entrepreneurship can be learned [18]. As such, this assumption suggests that entrepreneurship can be nurtured along the age continuum. One such entrepreneurship education program targeting primary/elementary school children described the effects of such education as follows:
“The implementation of this EE model from September 2009 to June 2014 allowed us to conclude that children can be entrepreneurs and can open, operate, and close a small enterprise in the short term, thanks to the experience transmitted by the tutors and advisers ([19], p. 303).”
However, there is a dearth of literature on entrepreneurship education targeting older adults over the age of 50. Moreover, most of these programs target younger entrepreneurs [20]. Hantman and Gimmon [21] describe an entrepreneurship incubator in which 70% of the 22 participants, all of whom were 55 or older, launched a new venture over the 12-meeting training program.
3. Brief literature review: age and entrepreneurship
It is beyond the scope here to review the body of literature on the relationship between age and entrepreneurship. The research to date is mixed regarding the relationship between age and entrepreneurship. The UK (United Kingdom) government [22] defines older entrepreneurship as any entrepreneur 50 and older.
Past research has shown an inverted U-shaped relationship between age and entrepreneurship [7]. It has also been argued that there is a negative relationship between age and engaging in entrepreneurship [11, 23]. In an empirical study examining high-growth companies, it was found that founders under the age of 25 are strongly disadvantaged at creating high growth companies with a surge in creating such companies after the age of 35 and another surge after the age of 46 until plateauing at age 60 [24]. As for business ownership, individuals over the age of 55 represent one-third of all firms although this same age cohort launches 15 percent of new firms [25].
The type of business launched also vary by age. Personal services, retail and restaurants are more likely launched by entrepreneurs in the 35–53 age cohort [25]. In contrast, entrepreneurs 55 and older are more likely to launch high-tech manufacturing, real estate, metal & machinery, and health care services [25]. Entrepreneurial ventures can be categorized into four segments: financed growth; organic growth; stable small employer; and stable micro [25]. Financed growth firms were defined as those with at least $400,000 in financing cash inflows and organic growth firms were defined as those with less than $400,000 in financing cash inflows [25]. The other segments are the following: stable small employer and stable micro. The difference is that the stable small employer is defined as having over $500,000 in expenses primarily payroll and the stable micro has no or very few employees with less than $500,000 in expenses [25]. It was found that younger entrepreneurs 35 and under were less likely to own financed growth and stable small employer ventures [25]. Yet, the 35–54 age cohort were overall overrepresented across all firms based upon a population comparison. Among the older entrepreneurs 55 and older, they were more likely to be in the stable small employer and micro segment [25].
As for exits, it was found that “a founder at age 50 is approximately twice as likely to experience a successful exit compared to a founder at age 30 ([24], p. 74).” Yet, founders 55 and older are the least likely to employ others although the most likely to survive [25].
Another finding emerging from the growing body of literature on age and entrepreneurship is that entrepreneurs of different ages manifest different goals related to what it means to be an entrepreneur [7]. To this point, younger and older entrepreneurs are more likely to launch ventures which are more socially oriented than middle age entrepreneurs [7]. These types of ventures fall under the category of social entrepreneurship.
4. Challenges/opportunities
There is a wide array of reasons why ventures fail to launch, why ventures fail to generate a profit, why ventures fail to survive, and why ventures fail to exit. One of the more common challenges has to do with managing the finances of entrepreneurial ventures regardless of the age of the entrepreneur. Competence in accounting practices has been found to be a challenge for entrepreneurs between the ages of 18 to 59 and a predictor of small business failure [26]. Working capital has always represented a challenge for small businesses [26]. Lack of liquidity has become even more of a challenge given the impact of COVID-19 [27]. Although this is not the only challenge, this challenge is more than likely related to the survival of the entrepreneurial venture.
A common challenge may revolve around stereotype bias and entrepreneurs especially those who are under the age of 18 and even over the age of 50. This type of bias may present roadblocks to those seeking to become entrepreneurs because they do not fit the “mental model” of the appropriate age of an entrepreneur. Related to both age groups is an increasing degree of interdependence among others. Specifically, for those entrepreneurs under the age of 18, it is likely that parental involvement will be higher. For those over the age of 50, it is likely that involvement with children and even aging parents will be higher. In fact, empirical evidence is emerging about the U-shaped curve of age discrimination in the workplace [28]. This empirical work has to be extended to entrepreneurial settings until researchers being to investigate bias and stereotyping in entrepreneurship using age as a variable in addition to the numerous studies investigating gender.
Younger and older entrepreneurs may benefit from a different set of resources. Regarding entrepreneurship, it was found that a focus on opportunity seeking is central to venture growth among entrepreneurs from 24 to 74 [29]. Of all the generations, the millennial generation is more interested in digital entrepreneurship than previous generations [33].
Regarding specific opportunity sets for entrepreneurs, it is conceivable that younger entrepreneurs have greater physical resources such as enhanced cognitive function and are also less encumbered with family and other responsibilities [24]. As for older entrepreneurs, it is conceivable that they have greater access to capital of all types including financial, social, and human [24]. Mental health is a key moderator between the age of the entrepreneur and a focus on opportunities [29]. Intergenerational entrepreneurship represents another opportunity for entrepreneurs of all ages. This ranges from launching firms together to intergenerational entrepreneurship education [30].
5. Recommendations: from entrepreneur to entrepreneurship ecosystem
The role of formal and informal organizations in shaping and supporting entrepreneurship is critical [31]. Yet, the type of support may vary given the heterogeneity of entrepreneurs. Bohlmann et al. [11] found that entrepreneurs of different ages need different types of support. Furthermore, the current entrepreneurship ecosystem has been critiqued by Bohlmann et al. [11] “These programs do not accurately take the needs and motivation of different ages into account (p. 8).”
Brieger et al. [7] recommend that high quality entrepreneurship support organizations offer services appropriate for specific life phases.
As an example, Gielnik et al. [29] based upon their study on the role of mental health for maintaining a high level focus on opportunities suggest that policy makers should invest in maintaining or improving mental health and invest in increasing learning & development opportunities targeting older entrepreneurs.
6. Future research agenda: age and entrepreneurship
Entrepreneurship research is increasingly taking a development approach. Even further, research is increasingly investigating older entrepreneurs who are 55 and older [21]. Future research ideally will draw upon a range of theories including developmental theories. Yet, researchers have eleven theoretical perspectives from which to frame future research beyond developmental theories. Eleven perspectives include the following: negative relationship personal health; rigidity; time allocation; risk propensity; discrimination; positive relationship human capital; social capital; financial capital; emotion; family obligation; and gender stereotype.
Beyond the theoretical base of future research, different research designs are recommended including cross-sectional and longitudinal designs. Given the focus on age and entrepreneurship, cohort based, and panel research designs are also worth pursuing among future researchers. The challenge for researchers may be to collaborate with researchers from other disciplines such as developmental psychology, family systems, sociology, and gerontology [32].
This line of research should go beyond age and also examine cohort effects by generation. To this point, the call for such research has been made, “It is critical that scholars of international entrepreneurship explore millennial entrepreneurs and contrast them across generations and countries ([33], p. 9).” Given the social context of younger and older entrepreneurs in particular, intersectionality as a construct is warranted [34].
This research should be grounded in qualitative, quantitative, mixed methods and even deploy big data analytic models. Much of the research should be hypothesis driven but not all of the research due to the nascent aspects of the nexus between age and entrepreneurship as well as generation and entrepreneurship. The following hypotheses represent a starting point to engage researchers in contributing to the dearth on aging and entrepreneurship. These hypotheses are by no means exhaustive.
H1: There are differences in entrepreneurial intent among entrepreneurs across the age continuum.
H2: There are differences in entrepreneurial motivation among entrepreneurs across the age continuum.
H3: There are differences in “push” and “pull” factors among entrepreneurs across the age continuum.
H4: There are differences in opportunities in entrepreneurial financing among entrepreneurs across the age continuum.
H5: There are differences in entrepreneurial exits among entrepreneurs across the age continuum.
7. Inclusive entrepreneurship education: all ages matter
It has previously been mentioned that the ideal entrepreneur and most entrepreneurship education program are not inclusive by age. In fact, they target younger entrepreneurs often under the age of 30. Following this trend, there appears to be a lot of focus on weaving entrepreneurship education into primary/elementary school and secondary/high school not to mention colleges/universities. These efforts should continue but ought to be expanded to include other age groups over the age of 30 up to retirement age or older.
If indeed entrepreneurship educators offer targeted entrepreneurship curricula that is age appropriate, then this education ought to also embrace an inter-generational element rather than “segregating” the target audiences by age cohorts. Yet, the case can be made for exclusive entrepreneurship education targeting specific age cohorts given the unique challenges and opportunities facing entrepreneurs at different ages and developmental periods.
The case for targeting specific age cohorts and even generational cohorts can be further subdivided into types of entrepreneurs within a given age cohort and generational cohort. As an illustration, it was found that there are eight types of entrepreneurs in the Baby Boom Generation (born between 1946 and 1964) [35]. This typology categorizes entrepreneurs into these categories or types: new versus existing, new opportunity versus new necessity, full-time versus part-time, and incorporated versus unincorporated entrepreneurs [35]. The author of this study argues “Understanding baby boomer entrepreneurs better and assisting them to develop entrepreneurship could be an effective strategy for our aging population ([35], p. 70).”
8. Recommendations
The recommendations set forth for entrepreneurs are presented from the lens of offering tailor made recommendations for different age groups across the developmental continuum.
8.1 School age entrepreneurs
School age entrepreneurs are deeply embedded in a family context and increasingly a school context with a rise in entrepreneurship educational programs targeting school age entrepreneurs. The degree to which these ventures are actually family firms is subject to further discovery, but the role of parents, other relatives and others is critical to the success of school age entrepreneurs. The current legal and regulatory system not to mention societal norms may impose unique barriers for school age entrepreneurs because they have not achieved the age of majority. Hence, stakeholders in the entrepreneurship ecosystem should continue to design and deliver tailored solutions for school age entrepreneurs while at the same time advocating to relax some legal and regulatory barriers.
8.2 College age entrepreneurs
College age entrepreneurs are increasingly warmly embraced by colleges and universities which offer degree and certificate programs in entrepreneurship. These efforts should continue along with the hackathons and business plan competitions. Likewise, research should continue involving college age entrepreneurs yet educational, programming and research investments need to be more inclusive of other age groups beyond the college age entrepreneurs. In most nations, college attendance and graduation are the exception not the rule. As such, attention should be paid to those who are college but decide not to attend college and start ventures in the skilled trades, retail, and food/beverages as well as gig workers.
8.3 Young adult entrepreneurs
Young adult entrepreneurs have decided to choose a particular path in life regarding their occupational identify and way to earn an income. At some point, during young adult, these entrepreneurs will make a commitment as a partner and even add the role of a parent. As such, greater attention is warranted to look at the varying roles for young adults and how they balance the tasks associated with these roles as well as the challenges of launching a new venture often without steady cash flow to ensure survival.
8.4 Middle age entrepreneurs
Middle age entrepreneurs are often ignored by the entrepreneurship ecosystem except to include them as mentors and financiers. These entrepreneurs often select entrepreneurship after some adverse life event ranging from a health event to a job loss event. Hence, programming ought to focus upon not just launching a venture but also managing grief and other emotions associated with a sudden loss of stability. Similar to young age entrepreneurs, these middle age entrepreneurs with aging parents may be part of the “sandwich generation” requiring different types of programming, support, and advocacy.
8.5 Older age entrepreneurs
Older age entrepreneurs are nearly invisible in the entrepreneurship ecosystem as participants. Proactive steps must be taken to include older entrepreneurs to counter the bias and stereotyping which occurs among older entrepreneurs. This step will require that leaders and decision makers in the entrepreneurship ecosystem look at their own biases and stereotypes and rid their organizations of such biases which become part of the culture, policies, and procedures.
Although these recommendations are presented as if they are separate, they are not. Leading organizations dedicated to enhancing entrepreneurship along the lifespan should seek to be “friendly” and “serve” entrepreneurs of all age or differentiate based upon serving entrepreneurs of a certain age group.
Furthermore, the designers, funders and evaluators of entrepreneurship programs targeting entrepreneurs at various ages must also consider the differences among the opportunity versus the necessity entrepreneurs. This categorization is similar to the push/pull framework [36]. This framework suggests that some entrepreneurs are pushed into entrepreneurship for such reasons as a lack of other career alternatives and others are pulled into entrepreneurship to pursue opportunities.
9. Conclusion
Entrepreneurship is all too often considered a more viable career option for those who are younger. Yet, as discussed above, the empirical evidence including a meta-analysis conclude that the opposite is true. Specifically, older entrepreneurs are more likely to succeed than younger entrepreneurs [37]. A central theme throughout this chapter is to challenge some assumptions that the general public, the media, academics and other stakeholders in the entrepreneurship ecosystem have about who is an entrepreneur, who seeks to be an entrepreneur out of necessity or opportunity seeking, and who should be served by entrepreneurship support organizations. The empirical evidence suggests a quite different picture that what is imagined in the eyes of most about the prototypical entrepreneur.
Fundamentally, entrepreneurship is a choice that individuals make at various stages of their life’s journey. This choice sometimes arises out of identifying an opportunity, sometimes arises out of needing to earn income, and sometimes arises out of the existential need to “chart your own course.” Regardless of the origins of the choice, entrepreneurship may occur at nearly any age from 10 to 100. The age and generational diversity of entrepreneurs is a reality that must be embraced by policy makers, entrepreneurship educators, entrepreneurship support organizations, and entrepreneurship researchers. Embracing the age and generational diversity of entrepreneurs begins with you and your beliefs about who aspires to and currently is an entrepreneur.
Conflict of interest
The authors declare no conflict of interest.
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Future time perspective in the work context: A systematic review of quantitative studies. Frontiers of Psychology. 2017;28:1-22. DOI: 10.3389/fpsyg.2017.00413]'},{id:"B11",body:'[Bohlmann C, Rauch A, Zacher H. A lifespan perspective on entrepreneurship: Perceived opportunities and skills explain the negative association between age and entrepreneurial activity. Frontiers in Psychology. 2017 Dec 1;8:2015. DOI: 10.3389/fpsyg.2017.02015]'},{id:"B12",body:'[Patuelli R, Santarelli E, Tubadji A. Entrepreneurial intention among high-school students: The importance of parents, peers, and neighbors. Eurasian Business Review. 2020 Apr 11;10(2):225-251]'},{id:"B13",body:'[Obschonka M, Silbereisen RK. Entrepreneurship from a developmental science perspective. International Journal of Developmental Science. 2012;6:107-115. DOI: 10.3233/DEV-2012-12105]'},{id:"B14",body:'[Meoli A, Fini R, Sobrero M, Wiklund J. 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DOI: 10.1177/1038416218810220]'},{id:"B36",body:'[Halvorsen CJ, Morrow-Howell N. A conceptual framework on self-employment in later life: Toward a research agenda. Work, Aging and Retirement. 2017;2:313-324. DOI: 10.1093/workar/waw031]'},{id:"B37",body:'[Maalaoui A, Tornikoski E, Partouche-Sebban J, Imen S. Why some third age individuals develop entrepreneurial intentions: Exploring the psychological effects of posterity. Journal of Small Business Management. 2020;58(3):447-473. DOI: 10.1080/00472778.2019.1659684]'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"William (Marty) Martin",address:"martym@depaul.edu",affiliation:'- DePaul University, Chicago, USA
'}],corrections:null},book:{id:"9550",title:"Entrepreneurship",subtitle:"Contemporary Issues",fullTitle:"Entrepreneurship - Contemporary Issues",slug:"entrepreneurship-contemporary-issues",publishedDate:"February 24th 2021",bookSignature:"Mladen Turuk",coverURL:"https://cdn.intechopen.com/books/images_new/9550.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"319755",title:"Prof.",name:"Mladen",middleName:null,surname:"Turuk",slug:"mladen-turuk",fullName:"Mladen Turuk"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"185591",title:"Dr.",name:"Pilar",middleName:null,surname:"Candelas",email:"pcandelas@fis.upv.es",fullName:"Pilar Candelas",slug:"pilar-candelas",position:null,biography:null,institutionString:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"2",totalEditedBooks:"0",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:null},booksEdited:[],chaptersAuthored:[{title:"Open Acoustic Barriers: A New Attenuation Mechanism",slug:"open-acoustic-barriers-a-new-attenuation-mechanism",abstract:"One of the main environmental problems of the industrialised countries is the noise, which can be defined as an unwanted or unpleasant outdoor sound generated by transport, industry and human activities in general. When it is not possible to reduce the emission of noise acting on the source, the reduction of noise levels in its transmission phase using acoustic screens (AS) seems appropriate; such screens are in common use to reduce noise levels and have been extensively studied since the middle of the 20th century. Over the last decades, various acoustic screen designs have been investigated to increase the screening effect. The research carried out focuses on both the reduction of diffraction at the top edge of the screen by varying the shape at the top or adding absorptive materials to the noise screen, but all these screens are basically formed by a continuum rigid material with a superficial density high enough, to reduce transmission of noise through the screen, in accordance with the mass law. At the end of the nineties, another type of screen based on arrangements of isolated scatterers embedded in air, emerged. Among other interesting properties, these screens provide new mechanisms to control the noise based on the Bragg law. First, a Sonic Crystal Acoustic Screen (SCAS) was presented, where the scatterers are arranged following crystalline patterns. After that, a new prototype of AS based on sonic crystals appears, which increases the attenuation capabilities using arrangements based on fractal geometries. The screens designed in this way have been referred to as Fractal-based Sonic Crystal Acoustic Screens (FSCAS) in this chapter. In both the cases, the mechanism that prevents the transmission of noise, and therefore increases the noise attenuation, is the destructive Bragg interference due to a multiple scattering process. Finally, a new concept of AS based on a periodic arrangement of scatterers, with a slit dimension between them that is smaller than the wavelength is introduced. This latest screen is called Subwavelength Slit Acoustic Screen (SSAS) which presents a Wood anomaly and Fabry-Perot resonances, being the destructive interferences among the scattered waves, responsible for the attenuation capabilities of these screens. This new kind of AS (SCAS, FSCAS and SSAS) presents interesting properties and can be considered as a real alternative to the classical AS, which are formed by a continuum rigid material. The aim of this chapter is to present these open AS, and it is organised as follows. In Section 1, an introduction about classic acoustic screens is presented. Numerical models and experimental set-up for the screens are introduced in Section 2. Then, in Section 3 the transmission properties of Sonic Crystals are explained, and the research advances in this field related to the design of a screen based on the new mechanism of noise control are highlighted. The definition and development of the Fractal-based Sonic Crystal Acoustic Screen are shown subsequently. The Subwavelength Slit Acoustic Screen is developed in Section 4. Finally, in Section 5 the main results and conclusions of the work are presented.",signatures:"Constanza Rubio, Sergio Castiñeira-Ibáñez, Juan Vicente Sánchez-\nPérez, Pilar Candelas, Francisco Belmar and Antonio Uris",authors:[{id:"181200",title:"Dr.",name:"Antonio",surname:"Uris",fullName:"Antonio Uris",slug:"antonio-uris",email:"auris@fis.upv.es"},{id:"185588",title:"Dr.",name:"Constanza",surname:"Rubio",fullName:"Constanza Rubio",slug:"constanza-rubio",email:"crubiom@fis.upv.es"},{id:"185589",title:"Dr.",name:"Sergio",surname:"Castiñeira-Ibáñez",fullName:"Sergio Castiñeira-Ibáñez",slug:"sergio-castineira-ibanez",email:"sercasib@gmail.com"},{id:"185590",title:"Dr.",name:"Juan Vicente",surname:"Sánchez-Pérez",fullName:"Juan Vicente Sánchez-Pérez",slug:"juan-vicente-sanchez-perez",email:"jusanc@fis.upv.es"},{id:"185591",title:"Dr.",name:"Pilar",surname:"Candelas",fullName:"Pilar Candelas",slug:"pilar-candelas",email:"pcandelas@fis.upv.es"},{id:"185592",title:"Prof.",name:"Francisco",surname:"Belmar",fullName:"Francisco Belmar",slug:"francisco-belmar",email:"fbelmar@fis.upv.es"}],book:{title:"Advances in Noise Analysis, Mitigation and Control",slug:"advances-in-noise-analysis-mitigation-and-control",productType:{id:"1",title:"Edited Volume"}}},{title:"Polyadic Cantor Fractals: Characterization, Generation, and Application as Ultrasonic Lenses",slug:"polyadic-cantor-fractals-characterization-generation-and-application-as-ultrasonic-lenses",abstract:"The term fractal was coined in 1975 by Benoit Mandelbrot. Since then, fractal structures have been widely used by the international scientific community. Its range of applications includes multiple areas, such as optics, physics, cryptography, medicine, economics, and so on. The application of fractal structures to modulate light beams in the field of optics has been extensively studied, and it has been shown that in some cases these new fractal lenses improve the response of traditional lenses. Fractal lenses are able to provide beamforming capabilities, and allow the optimization of the optical beam according to the specific requirements. In some applications, it may be necessary to improve the focus in a certain area, while in others it may be critical to obtain a sharp attenuation by means of destructive interference. It may even be required a beam profile with multiple focus and a certain control over them. This work investigates the application of fractal structures based on Polyadic Cantor sets as ultrasonic lenses, analyzing how the relation between the different design parameters and the performance of the lens. It is shown that the working frequency becomes a precise control mechanism that can modify dynamically the focus position of the lens.",signatures:"Sergio Castiñeira-Ibañez, Daniel Tarrazó-Serrano, José Miguel\nFuster, Pilar Candelas and Constanza Rubio",authors:[{id:"185588",title:"Dr.",name:"Constanza",surname:"Rubio",fullName:"Constanza Rubio",slug:"constanza-rubio",email:"crubiom@fis.upv.es"},{id:"185591",title:"Dr.",name:"Pilar",surname:"Candelas",fullName:"Pilar Candelas",slug:"pilar-candelas",email:"pcandelas@fis.upv.es"},{id:"199181",title:"Dr.",name:"Sergio",surname:"Castiñeira-Ibañez",fullName:"Sergio Castiñeira-Ibañez",slug:"sergio-castineira-ibanez",email:"sercasib@mat.upv.es"},{id:"199182",title:"Mr.",name:"Daniel",surname:"Tarrazó",fullName:"Daniel Tarrazó",slug:"daniel-tarrazo",email:"datarser@upv.es"},{id:"199183",title:"Dr.",name:"Fuster",surname:"José Miguel",fullName:"Fuster José Miguel",slug:"fuster-jose-miguel",email:"jfuster@dcom.upv.es"}],book:{title:"Fractal Analysis",slug:"fractal-analysis-applications-in-health-sciences-and-social-sciences",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"151307",title:"Dr.",name:"Min",surname:"Lei",slug:"min-lei",fullName:"Min Lei",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/151307/images/system/151307.jpg",biography:"She has worked in Shanghai Jiaotong University as an associate professor since 2004. From February 2003 to February 2004, she worked as Research Fellow in the Department of Mechanical Engineering, Nanyang University of Technology, Singapore. From 2000 to 2002, she worked as a postdoctoral fellow in the Institute of Mechanical and Electrical Control, School of Mechanical and Power Engineering, Shanghai Jiaotong University. She received a doctoral degree from the Department of Biomedical Engineering, Shanghai Jiaotong University, in 2000. She has been engaged in biomedical signal processing, modern signal processing, pattern recognition and classification, and nonlinear dynamics for a long time.",institutionString:"Shanghai Jiao Tong University",institution:{name:"Shanghai Jiao Tong University",institutionURL:null,country:{name:"China"}}},{id:"180587",title:"Mr.",name:"Thomas",surname:"Haase",slug:"thomas-haase",fullName:"Thomas Haase",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"German Aerospace Center",institutionURL:null,country:{name:"Germany"}}},{id:"180717",title:"Dr.",name:"Elisabete",surname:"Freitas",slug:"elisabete-freitas",fullName:"Elisabete Freitas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Minho",institutionURL:null,country:{name:"Portugal"}}},{id:"181200",title:"Dr.",name:"Antonio",surname:"Uris",slug:"antonio-uris",fullName:"Antonio Uris",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universitat Politècnica de València",institutionURL:null,country:{name:"Spain"}}},{id:"185588",title:"Dr.",name:"Constanza",surname:"Rubio",slug:"constanza-rubio",fullName:"Constanza Rubio",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Valencia",institutionURL:null,country:{name:"Spain"}}},{id:"185589",title:"Dr.",name:"Sergio",surname:"Castiñeira-Ibáñez",slug:"sergio-castineira-ibanez",fullName:"Sergio Castiñeira-Ibáñez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"185590",title:"Dr.",name:"Juan Vicente",surname:"Sánchez-Pérez",slug:"juan-vicente-sanchez-perez",fullName:"Juan Vicente Sánchez-Pérez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"185592",title:"Prof.",name:"Francisco",surname:"Belmar",slug:"francisco-belmar",fullName:"Francisco Belmar",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"188749",title:"MSc.",name:"João",surname:"Lamas",slug:"joao-lamas",fullName:"João Lamas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"188750",title:"MSc.",name:"Carlos",surname:"Silva",slug:"carlos-silva",fullName:"Carlos Silva",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null}]},generic:{page:{slug:"partnerships",title:"Partnerships",intro:"IntechOpen has always supported new and evolving ideas in scholarly publishing. 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