Products related to Theoretical:
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Ground Support Technology for Highly Stressed Excavations : Integrated Theoretical, Laboratory, and Field Research
The performance of ground support as a scheme is essential to constrain failures occurring at the rock surfaces of deep or highly stressed excavations.This book covers laboratory and theoretical developments coupled with field experiments and observations with the implementation of the methodology at mines.It explains the energy dissipation capabilities of reinforcement and support systems leading to the design of complete ground support schemes that can maintain integrity following the dynamic ejection of a mass of rock from an excavation boundary.The key features of the book are as follows:It explores the mechanics, demand and capacity of ground support technologyIt covers the whole gamut of theories, laboratory and field test results and case studies related to ground support technologyIt includes a comprehensive database of mesh, rock bolts, cable bolts and shotcrete capacityIt examines ground support scheme testing and explanationIt discusses comprehensive case studies, including de-stress blastingThis book is aimed at professionals in mining engineering, including civil engineering, geological engineering and geotechnical engineering, and related advanced postgraduate studies.
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The Theoretical Framework in Phenomenological Research : Development and Application
The Theoretical Framework in Phenomenological Research: Development and Application is an introduction to phenomenology in which the authors overview its origin, main ideas and core concepts.They show the application and relevancy of phenomenological tenets in practical qualitative research, as well as demonstrate how aligning theory and method enhances research credibility. In this detailed but digestible explanation of phenomenological theories, the authors explore the ideas of the main founders pertaining to the meaning of perceived reality and the meaning of being, and how these founders articulated their methodologies.In doing so, The Theoretical Framework in Phenomenological Research fills the well-documented gap between theory and practice within phenomenology by providing a much-needed bridge between the foundational literature and applied research on the subject, focusing equally on theory and practice.The book includes practical demonstrations on how to create theoretical/conceptual frameworks in applied phenomenological research.It also features detailed, step-by-step illustrations and examples regarding how researchers can develop frameworks and use their concepts to inform the development of themes at the data analysis stage.A reliable guide underpinned by foundational phenomenology literature, The Theoretical Framework in Phenomenological Research is an essential text for researchers, instructors, practitioners and students looking to design and conduct phenomenological studies in a manner that ensures credible outcomes.
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A Practical Guide to Theoretical Frameworks for Social Science Research
This practical book offers a guide to finding, choosing, and applying theoretical frameworks to social sciences research, and provides researchers with the scaffolding needed to reflect on their philosophical orientations and better situate their work in the existing landscape of empirical and theoretical knowledge. Using a multifaceted approach, the book provides clear definitions, primary tenets, historical context, highlights of the challenges and contemporary discussion and, perhaps more importantly, concrete and successful examples of studies that have drawn on and incorporated each theoretical framework.The authors define and explain the connections among such concepts as ontology, epistemology, paradigm, theory, theoretical frameworks, conceptual frameworks, and research methodology; describe the process of finding and effectively using theoretical and conceptual frameworks in research; and offer brief overviews of particular theories within the following disciplines: sociology, psychology, education, leadership, public policy, political science, economics, organizational studies, and business.The book also has a dedicated chapter on critical theories, and for each theory, provides a definition, explores how the theory is useful for researchers, discusses the background and foundations, outlines key terms and concepts, presents examples of theoretical applications, and gives an overview of strengths and limitations. This book offers a useful starting point for any researcher interested in better situating their work in existing conceptual and theoretical knowledge, but it will be especially useful for graduate students and early career researchers who are looking for clear definitions of complex terms and concepts, and for an introduction to useful theories across disciplines.
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Theoretical Frameworks in Qualitative Research
The Second Edition of Theoretical Frameworks in Qualitative Research brings together some of today’s leading qualitative researchers to discuss the frameworks behind their published qualitative studies.They share how they found and chose a theoretical framework, from what discipline the framework was drawn, what the framework posits, and how it influenced their study.Both novice and experienced qualitative researchers are able to learn first-hand from various contributors as they reflect on the process and decisions involved in completing their study.The book also provides background for beginning researchers about the nature of theoretical frameworks and their importance in qualitative research; about differences in perspective about the role of theoretical frameworks; and about how to find and use a theoretical framework.
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Do you find theoretical computer science difficult?
As an AI language model, I do not have personal experiences or feelings, so I do not find theoretical computer science difficult. However, theoretical computer science can be challenging for some people due to its abstract and mathematical nature. It often involves complex concepts such as algorithms, automata theory, and computational complexity, which may require a strong foundation in mathematics and logic to fully grasp. However, with dedication and practice, many people can overcome the difficulties and gain a deep understanding of theoretical computer science.
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What is sigma in theoretical computer science?
In theoretical computer science, sigma (Σ) is often used to represent the set of all possible inputs for a given problem or language. It is commonly used in the context of formal languages and automata theory to denote the alphabet of symbols from which strings are formed. For example, in the context of regular expressions, sigma represents the set of all possible characters that can appear in a string. In formal language theory, sigma is a fundamental concept for defining the syntax and structure of languages and automata.
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Is the proof sufficient in theoretical computer science?
In theoretical computer science, the sufficiency of a proof depends on the specific context and the problem being addressed. In some cases, a proof may be considered sufficient if it follows a rigorous logical argument and is supported by established mathematical principles. However, in more complex or novel areas of research, the sufficiency of a proof may be subject to debate and may require additional validation through peer review and further analysis. Overall, the sufficiency of a proof in theoretical computer science is determined by the standards and conventions of the specific subfield and the consensus of the research community.
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Is the solution in theoretical computer science okay?
Without specific details about the solution in theoretical computer science, it is difficult to provide a definitive answer. However, in general, the validity of a solution in theoretical computer science depends on its adherence to established principles and its ability to address the problem at hand. It should also be logically sound and supported by evidence or reasoning. If the solution meets these criteria, it can be considered okay. However, it is always important to seek feedback and validation from peers or experts in the field to ensure the quality of the solution.
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Theoretical Nursing : Development and Progress
Inspire your students to be theoretical thinkers, innovative advocates, and agents for change. Focused on cultivating the next generation of scholars, this highly respected classic demystifies theory, charts strategies to use in developing and advancing theory, and provides tools and best practices in evaluating progress in the discipline.Based on the feedback of nursing students, this edition was updated to be more accessible without losing the necessary rigor to foster critical thinking.Meleis provides a developmental and historical review of theoretical nursing and helps readers develop analytic skills and integrate knowledge into a coherent whole.By embarking on the journey of nursing theory, practicing nurses will find ways to improve everyday practice, as well as develop theories that capture their expertise. Highlights of the Sixth EditionKey TopicsParadigms that influenced nursing thought, such as feminism and post-colonialismNursing Theories, including need , interaction , and outcome theoriesSocial and health care transitions and their influence on advancing nursing knowledgeThe most updated global definitions of the discipline of nursing and the future of nursingCritical discussions on how different classifications of theories may lead to productive explorations and explanations of the process of clinical judgment and decision makingKey FeaturesNew online journal articles and case studies give students an opportunity to apply theory to practice. Chapter-ending Reflective Questions expand students’ understanding of theory and its impact on nursing today. Separate chapters covering Middle Range Theory and Situation-Specific Theory .This text is complemented by and frequently used with Peterson & Bredow’s Middle Range Theories: Application to Nursing Research and Practice . A new two-column design that enhances readability. Doody's Review Services gives this title a Weighted Numerical Score: 89 - 3 Stars!"This is the most exemplary nursing theory title available and it is particularly useful because it is a treasure trove of classic and emerging theorists and their work.The breadth, comprehensiveness, and historical grounding make this a must-have title that is a relevant reference for emerging nursing theorists and researchers, faculty, graduate students, and policy makers." - Doody's Review Service
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Man, the State, and War : A Theoretical Analysis
What are the causes of war? To answer this question, Professor Waltz examines the ideas of major thinkers throughout the history of Western civilization.He explores works both by classic political philosophers, such as St.Augustine, Hobbes, Kant, and Rousseau, and by modern psychologists and anthropologists to discover ideas intended to explain war among states and related prescriptions for peace.
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Man, the State, and War : A Theoretical Analysis
What are the causes of war? How might the world be made more peaceful? In this landmark work of international relations theory, first published in 1959, the eminent realist scholar Kenneth N.Waltz offers a foundational analysis of the nature of conflict between states.He explores works by both classic political philosophers, such as St.Augustine, Hobbes, Kant, and Rousseau, and modern psychologists and anthropologists to discover ideas intended to explain war among states and related prescriptions for peace.Waltz influentially distinguishes among three “images” of the origins of war: those that blame individual leaders or human nature, those rooted in states’ internal composition, and those concerning the structure of the international system.With a foreword by Stephen M. Walt on the legacy and continued relevance of Waltz’s work, this anniversary edition brings new life to a perennial international relations classic.
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Qualitative Research : Bridging the Conceptual, Theoretical, and Methodological
The second edition of Qualitative Research focuses on cultivating and bridging theoretical, methodological, and conceptual aspects to provide insight into their interactions in qualitative research.This comprehensive text helps students understand the central concepts, topics, and skills necessary to engage in rigorous, valid, and respectful qualitative research.Authors Sharon M. Ravitch and Nicole Mittenfelner Carl have written this text with student researchers in mind, balancing communicating the foundations and processes of qualitative research with clarity and simplicity while also capturing its complexity and layers. Whether students are new to qualitative research or not, this book will help students develop and deepen their understanding of an approach to research that seeks, designs for, and engages criticality in research. The new edition of this book includes a more prominently-placed and expanded discussion of research ethics as crucial to students' inquiry, more information on reflexivity in data collection and individual methods for qualitative data collection, a more in-depth chapter on coding and other types of qualitative data analysis, and more thorough resource sections including connections to the extensive appendices so students can further their qualitative research journey. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides. .
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How can one make theoretical computer science fun?
One can make theoretical computer science fun by incorporating interactive activities and hands-on projects that demonstrate the practical applications of theoretical concepts. This can include coding challenges, algorithmic puzzles, and simulations that allow students to see the real-world impact of the theoretical principles they are learning. Additionally, incorporating gamification elements such as leaderboards, badges, and rewards can make the learning process more engaging and enjoyable. Finally, relating theoretical computer science concepts to popular culture, current events, and real-world problems can help students see the relevance and excitement of the subject.
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What are the basics of theoretical computer science DFA?
In theoretical computer science, a Deterministic Finite Automaton (DFA) is a mathematical model used to represent a finite state machine that recognizes a regular language. A DFA consists of a finite set of states, a finite set of input symbols, a transition function that maps a state and an input symbol to a new state, a start state, and a set of accepting states. The DFA starts in the start state and transitions between states based on the input symbols until it reaches a final state. If the final state is an accepting state, the DFA accepts the input string; otherwise, it rejects the input string.
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What is a cellar automaton in theoretical computer science?
A cellar automaton is a type of cellular automaton in theoretical computer science. Cellular automata are discrete models studied in computer science and mathematics, consisting of a grid of cells, each of which can be in a finite number of states. The state of each cell evolves over time according to a set of rules based on the states of neighboring cells. In a cellar automaton, the grid is arranged in a three-dimensional lattice, and the state of each cell is updated based on the states of its six neighboring cells. Cellar automata are used to study complex systems and emergent behavior in various fields, including physics, biology, and computer science.
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What is a regular language in theoretical computer science?
In theoretical computer science, a regular language is a type of formal language that can be recognized by a finite automaton, such as a deterministic finite automaton (DFA) or a nondeterministic finite automaton (NFA). Regular languages are a fundamental concept in the theory of computation and are used in the study of formal languages and automata. They are characterized by their ability to be described by regular expressions and can be used to represent patterns in strings of symbols. Regular languages are important in the design and analysis of algorithms, as well as in the study of computational complexity.
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