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Books on the topic 'Dose Computation'

Author: Grafiati

Published: 25 January 2025

Last updated: 31 July 2025

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1

D, Sawant Pramilla, and Bhabha Atomic Research Centre, eds. Manual on internal dose computation and reporting. Bhabha Atomic Research Centre, 1999.

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2

United States. Defense Nuclear Agency, ed. FIIDOS--a computer code for the computation of fallout inhalation and ingestion dose to organs: Computer user's guide. Defense Nuclear Agency, 1985.

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3

1957-, Jackson Thomas L., and Joslin R. D. 1963-, eds. Theory and computation in hydrodynamic stability. Cambridge University Press, 2003.

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4

1934-, Jameson Antony, Caughey D. A, and Hafez M. M, eds. Frontiers of computational fluid dynamics 1994. Wiley, 1994.

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5

1940-, Jäger W., Rannacher Rolf, and Warnatz J, eds. Reactive flows, diffusion and transport: From experiments via mathematical modeling to numerical simulation and optimization : final report of SFB (Collaborative Research Center) 359. Springer, 2007.

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6

Chakrabarti, Anirban. Grid computing security. Springer, 2010.

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7

Tuncer, Cebeci, ed. Computational fluid dynamics for engineers: From panel to Navier-Stokes methods with computer programs. Horizons Pub. Inc., 2005.

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8

Battista, Jerry. Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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9

Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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10

Battista, Jerry. Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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11

Battista, Jerry. Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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12

Battista, Jerry J. Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2021.

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13

Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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14

Fazi, M. Beatrice. Contingent Computation. Rowman & Littlefield International, 2018. https://doi.org/10.5040/9798881812027.

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In Contingent Computation, M. Beatrice Fazi offers a new theoretical perspective through which we can engage philosophically with computing. The book proves that aesthetics is a viable mode of investigating contemporary computational systems. It does so by advancing an original conception of computational aesthetics that does not just concern art made by or with computers, but rather the modes of being and becoming of computational processes. Contingent Computation mobilises the philosophies of Gilles Deleuze and Alfred North Whitehead in order to address aesthetics as an ontological study of

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15

Shagrir, Oron. The Nature of Physical Computation. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197552384.001.0001.

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Computing systems are everywhere today. Even the brain is thought to be a sort of computing system. But what does it mean to say that a given organ or system computes? What is it about laptops, smartphones, and nervous systems that they are deemed to compute, and why does it seldom occur to us to describe stomachs, hurricanes, rocks, or chairs that way? The book provides an extended argument for the semantic view of computation, which states that semantic properties are involved in the nature of computing systems. Laptops, smartphones, and nervous systems compute because they are accompanied b

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16

After Digital: Computation As Done by Brains and Machines. Oxford University Press, 2017.

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17

Greenlaw, Raymond, H. James Hoover, and Walter L. Ruzzo. Limits to Parallel Computation. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195085914.001.0001.

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This book provides a comprehensive analysis of the most important topics in parallel computation. It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come. The first half of the book consists of an introduction to many fundamental issues in parallel computing. The second half provides lists of P-complete- and open problems. These lists will have lasting value to researchers in both industry and academia. The lists of problems, with their corresponding remarks, the thorough index, and th

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18

Oulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.

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This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that a

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19

Churchland, Patricia S., and Terrence J. Sejnowski. The Computational Brain. The MIT Press, 2018. http://dx.doi.org/10.7551/mitpress/9780262533393.001.0001.

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Before this book was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. This book developed a different conceptual framework, based on large populations of neurons. This was done by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience

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20

Kockelman, Paul. The Art of Interpretation in the Age of Computation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190636531.001.0001.

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This book is about media, mediation, and meaning. It focuses on a set of interrelated processes whereby seemingly human-specific modes of meaning become automated by machines, formatted by protocols, and networked by infrastructures—that is, the way computation replaces interpretation, information effaces meaning, and infrastructure displaces interaction. The book asks: what does it take to automate, format, and network meaningful practices; what difference does this make for those who engage in such practices; and what are the stakes? Reciprocally it questions how can we better understand com

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21

Self-Dual Codes and Invariant Theory (Algorithms and Computation in Mathematics). Springer, 2006.

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22

ICRP. ICRP Publication 133 : The ICRP Computational Framework for Internal Dose Assessment for Reference Workers: Specific Absorbed Fractions. SAGE Publications, Limited, 2016.

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23

Computational fluid dynamics for engineers: From Panel to Navier-Stokes methods with computer programs. Springer, 2004.

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24

Computational contact and impact mechanics: Fundamentals of modeling interfacial phenomena in nonlinear finite element analysis. Springer, 2002.

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25

Kotseruba, Iuliia, and John K. Tsotsos. The Computational Evolution of Cognitive Architectures. Oxford University PressOxford, 2025. https://doi.org/10.1093/oso/9780192844835.001.0001.

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Abstract What is human mind, and how does it work? These questions have occupied humanity since antiquity, but only a hundred years ago became a topic of rigorous scientific investigation. Cognitive architectures are a part of the long-standing effort to understand how human mind and brain operate by designing and implementing computational models in software and hardware. The field of cognitive architectures emerged at the intersection artificial intelligence and cognitive science and in less than 50 years of its existence led to creation of hundreds of projects, many of which are still being

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26

Been There Done That: Climbing Graph Paper, Graphing Paper, Computation Pads, Drafting Paper, Blueprint Paper, Quad Ruled 5x5, Grid Paper for Math and Science Students. Independently Published, 2020.

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27

Stefan, Vogenauer. Ch.1 General Provisions, General Provisions III: Arts 1.6–1.12—Application of the PICC, Art.1.12. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198702627.003.0016.

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This commentary focuses on Article 1.12 of the UNIDROIT Principles of International Commercial Contracts (PICC) concerning holidays and time zones and their effect on periods of time set by the parties. Official holidays and non-business days are included in the computation of periods and have no effect on the duration of the period according to Art 1.12(1), unless the parties agree otherwise, such as by referring specifically to ‘working days’. Holidays and non-business days, however, become relevant if the last day of the period falls on such a day. The determination of the applicable time z

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28

Jockers, Matthew L. Tradition. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0003.

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This chapter discusses traditions that inform the book's macroanalytic approach to digital literary studies as well as the strength of macroanalysis as a tool in the study of literature. It begins with an overview of some early concerns and contemporary criticisms regarding literary computing and the digital revolution. It then considers the emergence of the so-called “digital humanities” or humanities computing and shows that its foundation, computational text analysis, has come a long way. It also examines the contributions of computing humanists to humanities scholarship, such as the creati

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29

Coaching Does Not Permit Democracy: Coaching Graph Paper, Graphing Paper, Computation Pads, Drafting Paper, Blueprint Paper, Quad Ruled 5x5, Grid Paper for Math and Science Students. Independently Published, 2020.

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30

Reactive Flows, Diffusion and Transport: From Experiments Via Mathematical Modeling to Numerical Simulation and Optimization. Springer London, Limited, 2007.

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31

Warnatz, J., Rolf Rannacher, and Willi Jäger. Reactive Flows, Diffusion and Transport: From Experiments via Mathematical Modeling to Numerical Simulation and Optimization. Springer, 2016.

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32

(Editor), Willi Jäger, Rolf Rannacher (Editor), and Jürgen Warnatz (Editor), eds. Reactive Flows, Diffusion and Transport: From Experiments via Mathematical Modeling to Numerical Simulation and Optimization. Springer, 2006.

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33

Lee, Daeyeol. Birth of Intelligence. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190908324.001.0001.

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What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is artificial intelligence (AI) fundamentally different from human intelligence? Rapid expansion of AI applications has made these questions pressing. To better prepare for the future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underp

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34

Maier, Esther R. Creating Production Values in a Dramatic Television Series. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827436.003.0003.

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This chapter draws on the insights generated through an ethnographic study of a dramatic television series production, to show how the creative and financial imperatives of the project are integrated through the calculative practices of the mid-level managers on the project. The analysis draws on a broader definition of calculative practice that does not restrict calculation to mathematical or numerical computations but also incorporates judgement and intuition. The findings show how the final configuration of the product emerges through monetary valuations or ‘estimates’ prepared by the mid-l

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35

Shaikh, Mohd Faraz. Machine Learning in Detecting Auditory Sequences in Magnetoencephalography Data : Research Project in Computational Modelling and Simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.25368/2022.411.

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Does your brain replay your recent life experiences while you are resting? An open question in neuroscience is which events does our brain replay and is there any correlation between the replay and duration of the event? In this study I tried to investigate this question by using Magnetoencephalography data from an active listening experiment. Magnetoencephalography (MEG) is a non-invasive neuroimaging technique used to study the brain activity and understand brain dynamics in perception and cognitive tasks particularly in the fields of speech and hearing. It records the magnetic field generat

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36

Anderson, James A. Software. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0004.

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Digital computers are “protean” in that they can become almost anything through software. Their basic design elements came from a 19th-century British tradition in logic, exemplified by Boole and Babbage. It seemed natural to have logic realized in hardware. This tradition culminated in the work of Alan Turing who proposed a universal computing machine, now called a Turing machine, based on logic. Although hardware that computes logic functions lies at the core of digital hardware, low-level practical machine operations are grouped together in “words.” Programs are based on hardware operations

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37

Rouse, William B. Computing Possible Futures. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198846420.001.0001.

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This book discusses the use of models and interactive visualizations to explore designs of systems and policies in determining whether such designs would be effective. Executives and senior managers are very interested in what “data analytics” can do for them and, quite recently, what the prospects are for artificial intelligence and machine learning. They want to understand and then invest wisely. They are reasonably skeptical, having experienced overselling and under-delivery. They ask about reasonable and realistic expectations. Their concern is with the futurity of decisions they are curre

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38

Chakrabarti, Anirban. Grid Computing Security. Springer London, Limited, 2007.

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39

Davis, Mark H. A. Mathematical Finance: A Very Short Introduction. Oxford University Press, 2019. http://dx.doi.org/10.1093/actrade/9780198787945.001.0001.

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In recent years, the finance industry has mushroomed to become an important part of modern economies with many science and engineering graduates joining the industry as quantitative analysts, using mathematical and computational skills to solve complex problems of asset valuation and risk management. Mathematical Finance: A Very Short Introduction provides an overview of mathematical finance today. It introduces arbitrage theory, explaining why it works the way it does, and how it is key to pricing financial contracts, to credit trading, fund management, and the setting of interest rates. It a

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40

Dahlstedt, Palle. Action and Perception. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.4.

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While computational models of human music making are a hot research topic, the human side of computer-based music making has been largely neglected. What are our cognitive processes like when we create musical algorithms, and when we compose and perform with them? Musical human–algorithm interaction involves embodied action, perception and interaction, and some kind of internalization of the algorithms in the performer’s mind. How does the cognitive relate to the physical here? Departing from the age-old mind–body problem, this chapter tries to answer these questions and review relevant resear

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41

Rubery, Matthew, and Leah Price, eds. Further Reading. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780198809791.001.0001.

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What does reading mean in the twenty-first century? As other disciplines challenge literary criticism’s authority to answer this question, English professors themselves are defining new alternatives to close reading and to interpretation more generally. Further Reading brings together thirty commissioned essays drawing on approaches as different as formalism, historicism, neuroscience, disability, and computation. Contributors take up the following questions: What do we mean when we talk about “reading” today? How are reading techniques evolving in the digital era? What is the future of readin

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42

Carusi, Annamaria. Modelling Systems Biomedicine: Intertwinement and The ‘Real’. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474400046.003.0002.

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At a conference on developing the capacity of systems biology to transform itself in systems biomedicine, several of the scientists’ presentations showcase the computational modelling methods they are developing. Drawing towards the end of his presentation, an experienced pharmacologist admonishes the audience to bear in mind that, despite the progress in modelling techniques that he has been discussing, a model is always just a representation and never reality. At this point, there is a PowerPoint slide showing Magritte’s painting, This is not a Pipe, and chuckling from the audience. It will

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43

Jockers, Matthew L. Revolution. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0001.

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This chapter discusses the enormous promise of computational approaches to the study of literature, with particular emphasis on digital humanities as an emerging field. By 2008 computers, with their capacity for number crunching and processing large-scale data sets, had revolutionized the way that scientific research is carried out. Now, the same elements that have had such an impact on the sciences are slowly and surely revolutionizing the way that research in the humanities gets done. This chapter considers the history of digital humanities, also known as humanities computing, community of p

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44

Lüdeling, Anke, Julia Ritz, Manfred Stede, and Amir Zeldes. Corpus Linguistics and Information Structure Research. Edited by Caroline Féry and Shinichiro Ishihara. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199642670.013.013.

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This chapter describes the contributions that Corpus Linguistics (the study of linguistic phenomena by means of systematically exploiting collections of naturally-occurring linguistic data) can make to IS research. It discusses issues of designing a corpus that can serve as a basis for qualitative or quantitative studies, and then turns to the central issue of data annotation: what corpora are available that have been annotated with IS-related annotations, and how can such annotations be evaluated? In case a corpus does not have direct IS annotation, can other types of annotations, especially

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45

Crespo Miguel, Mario. Automatic corpus-based translation of a spanish framenet medical glossary. 2020th ed. Editorial Universidad de Sevilla, 2020. http://dx.doi.org/10.12795/9788447230051.

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Computational linguistics is the scientific study of language from a computational perspective. It aims is to provide computational models of natural language processing (NLP) and incorporate them into practical applications such as speech synthesis, speech recognition, automatic translation and many others where automatic processing of language is required. The use of good linguistic resources is crucial for the development of computational linguistics systems. Real world applications need resources which systematize the way linguistic information is structured in a certain language. There is

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46

Butz, Martin V., and Esther F. Kutter. Attention. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0011.

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Cognition does not work without attention. Attention enables us to focus on particular tasks and particular aspects in the environment. Psychological insights show that attention exhibits bottom-up and top-down components. Attention is attracted from the bottom-up towards unusual, exceptional, and unexpected sensory information. Top-down attention, on the other hand, filters information dependent on the current task-oriented expectations, which depend on the available generative models. This computational interpretation enables the explanation of conjunctive and disjunctive search. Different m

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47

Öztürk, Armagan, and Murat Satici, eds. Living Together. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845299839.

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The contemporary grounds for the critique of modern politics have also populated debates on today’s questions of democracy, political participation, the public sphere, pluralism, gender, ecology and freedom, to name but a few. It should not be forgotten that the problems of living together necessitate overcoming the misperception of politics as only an act between individuals, nations, institutions and political ideologies. Indeed, the problem of living together is a matter of living with others, with the state and its institutions, animals and nature, art and cultures. This political dimensio

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48

Laver, Michael, and Ernest Sergenti. Party Leaders with Policy Preferences. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0010.

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This chapter adapts the dynamic model of multiparty competition to take into account the possibility that party leaders take their own preferences into account when they set party policy. If they do this, they must make trade-offs between satisfying their private policy preferences and some other objective, whether this is maximizing party vote share or pleasing current party supporters. Models that specify such trade-offs have often been found intractable using traditional analytical techniques. However, they are straightforward to specify and analyze using computational agent-based modeling,

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49

Houdé, Olivier, and Grégoire Borst, eds. The Cambridge Handbook of Cognitive Development. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108399838.

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How does cognition develop in infants, children and adolescents? This handbook presents a cutting-edge overview of the field of cognitive development, spanning basic methodology, key domain-based findings and applications. Part One covers the neurobiological constraints and laws of brain development, while Part Two covers the fundamentals of cognitive development from birth to adulthood: object, number, categorization, reasoning, decision-making and socioemotional cognition. The final Part Three covers educational and school-learning domains, including numeracy, literacy, scientific reasoning

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50

Succi, Sauro. Lattice Boltzmann Models for Microflows. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0029.

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The Lattice Boltzmann method was originally devised as a computational alternative for the simulation of macroscopic flows, as described by the Navier–Stokes equations of continuum mechanics. In many respects, this still is the main place where it belongs today. Yet, in the past decade, LB has made proof of a largely unanticipated versatility across a broad spectrum of scales, from fully developed turbulence, to microfluidics, all the way down to nanoscale flows. Even though no systematic analogue of the Chapman–Enskog asymptotics is available in this beyond-hydro region (no guarantee), the fa

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