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Books on the topic 'Artificial turf'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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1

Carr, Carolyn. The policy game: Women's use and the management of artificial turf pitches. [U.K: [s.n.], 1993.

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2

msson, Pe tur Steingri. Veldu flugu: Fluguvei©ʻibo k Pe turs i Laxa rnesi. [Reykjavi k]: Ma l og menning, 2003.

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3

King, Stephen. Der dunkle Turm: Tot. 6th ed. München, Germany: Heyne, 1995.

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4

Egidius. Liber iste que[m] lege[n]dum proponimus: Liber est noue institutionis et studiose conpositio[n]is artificio de antiquorum sente[n]tijs elicitus [et] exortus : in quo p [u]b[l]icalis scientie resulta[n]t archana [et] secreta indicia vrinarum contine[n]tur ... [Salamanca: s.l., 1987.

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5

Artificial turf pitches in Bracknell Forest. Caversham: Sports Council, Southern Region, 1992.

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6

Region, Sports Council Southern, and Sportspartner, eds. Artificial turf pitches in Bracknell Forest. Sports Council (Southern Region), 1992.

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7

Ogilvie, Nick. Installing and Understanding Artificial Turf: Quick and Easy Guide on How to Successfully Install an Artificial Turf Lawn. Luxe Blades LLC, 2022.

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8

Smith, Patsy Wood. Artificial Turf: Things Are Not Always What They Seem! PublishAmerica, 2004.

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9

1951-, Schimdt Roger C., ASTM Subcommittee F08.52 on Playing Surfaces and Facilities., and Symposium on the Characteristics and Safety of Playing Surfaces (Artificial and Natural) for Field Sports (1988 : Phoenix, Ariz.), eds. Natural and artificial playing fields: Characteristics and safety features. Philadelphia, PA: ASTM, 1990.

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10

Recreation, Southern Council for Sport and. Artificial turf pitches in the southern region - investing in the future. Southern Council for Sport and Recreation, 1992.

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11

Council, Sports, Hockey Association, and All England Women's Hockey Association., eds. Artificial turf pitches for hockey: A planning, design, construction and management guide. London: Sports Council, 1990.

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12

Maybury, Stephen William. The critical technical review and economic appraisal of airside artificial turf safety system applications at Lester B. Pearson International Airport. 2003, 2003.

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13

Boden, Margaret A. 5. Robots and artificial life. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0005.

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Artificial life (A-Life) models biological systems. Like AI, it has both technological and scientific aims. ‘Robots and artificial life’ explains that A-Life is integral to AI, because all the intelligence we know about is found in living organisms. AI technologists turn to biology in developing practical applications of many kinds, including robots, evolutionary programming, and self-organizing devices. Robots are quintessential examples of AI, having high visibility and being hugely ingenious—and very big business, too. Evolutionary AI, although widely used, is less well known. Self-organizing machines are even less familiar. Nevertheless, in the quest to understand self-organization, AI has been as useful to biology as biology has been to AI.

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14

Ebach, Malte. Reinvention of Australasian Biogeography. CSIRO Publishing, 2017. http://dx.doi.org/10.1071/9781486304844.

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Biogeography, the study of the distribution of life on Earth, has undergone more conceptual changes, revolutions and turf wars than any other scientific field. Australasian biogeographers are responsible for several of these great upheavals, including debates on cladistics, panbiogeography and the drowning of New Zealand, some of which have significantly shaped present-day studies. Australasian biogeography has been caught in a cycle of reinvention that has lasted for over 150 years. The biogeographic research making headlines today is merely a shadow of past practices, having barely advanced scientifically. Fundamental biogeographic questions raised by naturalists a century ago remain unanswered, yet are as relevant today as they were then. Scientists still do not know whether Australia and New Zealand are natural biotic areas or if they are in fact artificial amalgamations of areas. The same question goes for all biotic areas in Australasia: are they real? Australasian biogeographers need to break this 150-year cycle, learn from their errors and build upon new ideas. Reinvention of Australasian Biogeography tells the story of the history of Australasian biogeography, enabling understanding of the cycle of reinvention and the means by which to break it, and paves the way for future biogeographical research. The book will be a valuable resource for biological and geographical scientists, especially those working in biogeography, biodiversity, ecology and conservation. It will also be of interest to historians of science.

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15

King, Stephen. Tot: Der dunkle Turm. Heyne, 1997.

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16

Olivér, Gábor. CRITIQUE OF THE ASILOMAR AI PRINCIPLES = AZ ASILOMARI ELVEK KRITIKÁJA. GeniaNet Bt., 2022. http://dx.doi.org/10.15170/cotaap-2022.

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The intelligent man with consciousness is the pinnacle of the evolution of matter that we know. So far. We know, however, that evolution will not stop. Although with sections and dead ends of varying lengths, it is moving towards the increasing complexity of organizations, so it is probably not the human in today's sense is its end point. The development of artificial intelligences that we are planning, for example, may meet both our intentions and the criteria of evolution, but as a novelty it also holds the possibility of a future without us. The latter, in turn, creates tension between the species-maintainer desires of homo sapiens and the unknown future course of evolution. The Asilomar principles seek to alleviate this tension by limiting the development of artificial intelligences. However, as technological advances lead to an increase in autonomy, this is at most a plan for time-gaining. In addition to the Asilomar program, then, there is a need for a “Second Foundation” that can reconcile the future of man not only with artificial intelligences but also with evolution. If we want to survive, the evolutionary adaptation of homo sapiens could really ease the pressure of technological determinism on us. At the 2017 International Conference on Artificial Intelligence Safety Technology in Asilomar, participants signed an agreement.[1] They were of the opinion that the development of artificial intelligences should be controlled. More specifically, to limit the future development of algorithms in a way that suits for homo sapiens. In doing so, they sought to meet the future challenges posed by autonomous technologies.[2] The question is whether the Asilomar goal is a real possibility or just a formulation of desires? In the following, after a brief introduction to the ability or get know and formability of the future, I examine the truthfulness of the Asilomar program.

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17

Rijmenam, Mark Van. Organisation of Tomorrow: How AI, Blockchain and Analytics Turn Your Business into a Data Organisation. Taylor & Francis Group, 2019.

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18

Rijmenam, Mark Van. Organisation of Tomorrow: How AI, Blockchain and Analytics Turn Your Business into a Data Organisation. Taylor & Francis Group, 2019.

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19

Rijmenam, Mark Van. Organisation of Tomorrow: How AI, Blockchain and Analytics Turn Your Business into a Data Organisation. Taylor & Francis Group, 2019.

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20

Rijmenam, Mark Van. Organisation of Tomorrow: How AI, Blockchain and Analytics Turn Your Business into a Data Organisation. Taylor & Francis Group, 2019.

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21

Rijmenam, Mark Van. Organisation of Tomorrow: How AI, Blockchain and Analytics Turn Your Business into a Data Organisation. Taylor & Francis Group, 2019.

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22

Institute of Electrical and Electronics. Rast 2003: Proceedings of International Conference on Recent Advances in Space Technologies, November 20-22, 2003, Istanbul, Turk. IEEE Computer Society Press, 2003.

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23

Menz, Georg. Conclusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199579983.003.0009.

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This chapter summarizes some of the book’s main arguments and provides avenues for future research. We point to the ideational turn as well as to culturally based enquiries into Comparative Political Economy as offering particular promise. Finally, this chapter additionally points to two major sources of societal and economic transformation, discussing in passing other major economic changes, such as increasing automation, advances in artificial intelligence, and the roll-out of robots across a variety of economic sectors. These two potentially explosive sources of change include energy security, a field in which the race for autarchy is juxtaposed with limits to the practical applicability of renewable energy sources. Environmental factors and environmental degradation similarly impose dramatic constraints to further economic development and might induce a dramatic reconfiguration.

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24

James, Philip. The physical environment. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827238.003.0003.

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Elements of the physical aspects of urban environments determine which micro-organisms, plants, and animals live in urban environments. In this chapter, climate, air, water, soil, noise, and light are discussed. Urban environments are affected by the climate of the region in which they are located, and in turn and create their own, distinctive urban climate. Air, water, and soil are all affected by urbanization. Pollution of these elements is common. High noise levels and artificial light at night (ALAN—a new phenomenon) are both strongly associated with urban environments. Details of both are discussed. The discussion in this chapter provides a foundation for further exploration of the diversity of life in urban environments and for later exploration of how organisms adapt to urban living, which will be discussed in Parts II and III.

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25

Thompson, Tok. Posthuman Folklore. University Press of Mississippi, 2019. http://dx.doi.org/10.14325/mississippi/9781496825087.001.0001.

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Posthuman Folklore explores how our human condition is increasingly thought of, and performed, in posthuman terms. Insights from animal studies have triggered the “animal turn” in scholarship, while the increasing digitization of human culture and the newly emerging roles of androids and artificial intelligences provide yet another crux for reconsidering what it means to be a person. Taken together, such outlooks cast in doubt the previous assurances of human ontology which were lodged in Western discourse. This book explores not only the scholarship behind such moves, but also, and perhaps more importantly, the ways in which everyday people are increasingly enacting posthumanism in their everyday lives. The book follows a narrative thread of various case studies ranging from the pre-hominid to the cyborg, and ends with a futurist appraisal of current trajectories.

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26

Ekirch, Roger. Sleep in western culture. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0018.

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Although a universal necessity, sleep, as the past powerfully indicates, is not a biological constant. Before the Industrial Revolution, sleep in western households differed in a variety of respects from that of today. Arising chiefly from a dearth of artificial illumination, the predominant form of sleep was segmented, consisting of two intervals of roughly 3 hours apiece bridged by up to an hour or so of wakefulness. Notwithstanding steps taken by families to preserve the tranquillity of their slumber, the quality of pre-industrial sleep was poor, owing to illness, anxiety, and environmental vexations. Large portions of the labouring population almost certainly suffered from sleep deprivation. Despite the prevalence of sleep-onset insomnia, awakening in the middle of the night was thought normal. Not until the turn of the nineteenth century and sleep’s consolidation did physicians view segmented sleep as a disorder requiring medication.

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27

Himmelfarb, Jonathan. Haemodialysis. Edited by Jonathan Himmelfarb. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0255.

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This chapter provides an overview of haemodialysis, a medical procedure where the blood volume circulates extracorporeally through a dialysis membrane and is returned to the patient via the vasculature, during which time there is diffusion of molecules in solution along an electrochemical concentration gradient. In clinical haemodialysis, the semipermeable dialysis membrane separates the blood from a solution of prescribed electrolyte composition known as the dialysate. The use of long-term dialysis for treatment of irreversible kidney failure and amelioration of the uraemic syndrome dates back to the 1960s, when Belding Scribner and colleagues developed a repeatedly usable vascular access device using Teflon-coated plastic tubes. These and many other pioneering advances led to early successes in carefully selected populations of predominantly young, relatively fit patients with kidney failure. This in turn prompted a dramatic expansion of the use of haemodialysis as a life-sustaining treatment, and today haemodialysis is the most frequently used treatment for end-stage kidney disease in the United States, Europe, and worldwide. The expanded use of haemodialysis as kidney replacement therapy transformed the profession of nephrology and the care of people living with severe kidney disease, and also created a new field of medical science, which has been referred to as ‘the physiology of the artificial kidney’.

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28

Shroff, Gautam. The Intelligent Web. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199646715.001.0001.

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As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected. Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

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