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Latent Figures
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Latent Heat - A Year's Worth
Pure transparency. What can be more interesting? A candid depiction of an engineer, seaman, manic depressant, and writer/poet, named David Fredette.An engineering degree and a Coast Guard issued Marine Engineering License made him a seaman.As a seaman, David took the "con" as a Marine Engineering Officer, standing watch, and performing maintenance, aboard various ships, at sea.Over time, Fredette performed well, but eventually succumbed to a nervous breakdown, which led to a lot of recovery time, where he took to writing one poem per week, for one year.Thus, Latent Heat - A Year's Worth was published.
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The Latent World of Architecture : Selected Essays
This book features thirteen essays by the late architect, philosopher and teacher Dalibor Vesely (1934–2015).Vesely was a leading authority on philosophical hermeneutics and phenomenology in relation to architecture worldwide, and influenced a generation of thinkers, teachers and practitioners.This collection presents the full range of his writing, drawing primarily from the history of art and architecture, as well as philosophy, theology, anthropology and ecology, and spanning from early antiquity to modernism.It composes a multifaceted and globally relevant argument about the enduring cultural role of architecture and the significance of its history.The book, edited and introduced by Vesely’s teaching partner at Cambridge Peter Carl and former student Alexandra Stara, and with a foreword by David Leatherbarrow, brings to light new and hard-to-access material for those familiar with Vesely’s thought and, at the same time, offers a compelling introduction to his writing and its profound relevance for architecture and culture today.
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Psychometrics, Test Theory, and the Latent Factors Model
A combination of psychometric theory, history, philosophy and practice, with recent advances in analytical methods, metrology, and design.Psychometrics, Test Theory, and the Latent Factors Models began as a strong manuscript by Petr Blahuš.Before his death he entrusted it to three co-authors who completed the book with in-chapter explanations. accessible mathematical appendices and computational guides.It was also expanded to include important advances since 2010 in psychometric methods, metrology, and the science of domain-specific design.Comprehensive in scope, the text contains computatational guides for the use of Stata, M-plus, and SPSS in Classical Test Theory, Item-Response Theory, and Factor Analysis.The authors highlight the practicality of software integration in order to successfully produce psychometrically sound research.Written by an international and decades-spanning team of experienced psychometricians, the text sets the goal of a future psychometrics that could earn its place in international metrology.The book is filled with suggestions, tips, and practical guidance about best practices and efficient strategies for modeling and model selection.In addition, the book includes important cautions and warnings about misuse and misinterpretations of common, but limited, analytical techniques.The book is historically informed, philosophically grounded, mathematically justified, and methodologically current. This important text: Applies intuitive reasoning and common examples to aid in the understanding of advanced technical concepts. Includes the conceptual, statistical, and philosophical background of psychometrics. Features recent advances advances and opposing views in psychometric theory. Contains concrete examples from current research, including cognitive tests and MRI data. Opens he vista for a future of testing with greatly increased use of well-constructed, learner-centered performance scales using computer-adaptive testing with feedback over multiple attempts. Psychometrics, Test Theory, and the Latent Factors Model is intended for forward-looking students and teachers in the behavioral, educational, health, and social sciences.
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Why is latent heat latent?
Latent heat is called "latent" because it is hidden or concealed within a substance during a phase change, such as melting or vaporization. Unlike sensible heat, which causes a change in temperature, latent heat causes a change in the state of a substance without changing its temperature. This hidden heat energy is released or absorbed when the substance undergoes a phase change, making it "latent" or not readily apparent.
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What is latent misogyny?
Latent misogyny refers to the subtle or hidden forms of sexism and discrimination against women that may not be immediately apparent. It can manifest in the form of microaggressions, stereotypes, and biases that contribute to the marginalization and oppression of women. This type of misogyny is often ingrained in societal norms and structures, making it more challenging to identify and address. It is important to recognize and confront latent misogyny in order to create a more equitable and inclusive society.
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What are open latent needs?
Open latent needs are unmet or unrecognized needs that customers have but may not be fully aware of or able to articulate. These needs are not immediately obvious and may require deeper exploration and understanding of the customer's experiences and pain points. Identifying and addressing open latent needs can lead to innovative solutions and opportunities for businesses to differentiate themselves in the market. By uncovering and addressing these needs, companies can better meet the evolving demands and preferences of their customers.
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Do I have latent strabismus?
I'm sorry, but as an AI language model, I am not able to diagnose medical conditions. If you suspect you may have latent strabismus, it is best to consult with an eye care professional suchjson as an optometrist or ophthalmologist for a proper evaluation and diagnosis. They will be able to assess your eye alignment and provide you with the appropriate guidance and treatment if necessary.
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Latent Modes of Nonlinear Flows : A Koopman Theory Analysis
Extracting the latent underlying structures of complex nonlinear local and nonlocal flows is essential for their analysis and modeling.In this Element the authors attempt to provide a consistent framework through Koopman theory and its related popular discrete approximation - dynamic mode decomposition (DMD).They investigate the conditions to perform appropriate linearization, dimensionality reduction and representation of flows in a highly general setting.The essential elements of this framework are Koopman eigenfunctions (KEFs) for which existence conditions are formulated.This is done by viewing the dynamic as a curve in state-space.These conditions lay the foundations for system reconstruction, global controllability, and observability for nonlinear dynamics.They examine the limitations of DMD through the analysis of Koopman theory and propose a new mode decomposition technique based on the typical time profile of the dynamics.
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Latent Variable Modeling Using R : A Step-by-Step Guide
This step-by-step guide is written for R and latent variable model (LVM) novices.Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R.The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings.The material is presented without the use of matrix algebra.As a whole the book prepares readers to write about and interpret LVM results they obtain in R. Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings.Margin notes help readers better understand LVMs and write their own R syntax.Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results.R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material.A unique index helps readers quickly locate R functions, packages, and datasets.The book and accompanying website at http://blogs.baylor.edu/rlatentvariable/ provides all of the data for the book’s examples and exercises as well as R syntax so readers can replicate the analyses.The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values. The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data.Chapters 2 and 3 introduce and then extend path models to include latent variables.Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period.Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data.Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data.The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches.The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter’s exercises. Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields.Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.
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Longitudinal Structural Equation Modeling with Mplus : A Latent State-Trait Perspective
An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts.Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data.The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results.User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading.The companion website features data sets, annotated syntax files, and output for all of the examples.
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Profitable Candlestick Trading : Pinpointing Market Opportunities to Maximize Profits
The updated edition to one of the most popular books on technical analysis Japanese candlestick charting and analysis is one of the most profitable yet underutilized ways to trade the market.Signals created by this unique method of technical analysis-represented in the form of graphic "candlestick" formations-identify the immediate direction and effects of investor sentiment through price movements, allowing traders to profit by spotting trend reversals before other investors.This updated version of Profitable Candlestick Trading: Pinpointing Market Opportunities to Maximize Profits makes learning the method fast and easy by introducing specific patterns, as well as the psychology behind them.The book Details the most valuable aspect of technical analysis-reversal patterns-as well as reversal signals, including the Doji, the Hammer, the Hanging Man, Engulfing Patterns, and Dark Cloud CoverExplains continuation patterns and explores how they can help with the decision-making process during various trading periodsReveals how to find trading situations that have the maximum potential for profitability, the highest probability of success, and the least amount of risk Learn how to quickly search, view, and profit with candlestick formations with Profitable Candlestick Trading.
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What does latent disposition mean?
Latent disposition refers to an underlying tendency or inclination that is not readily apparent or expressed. It is a potential or dormant trait that may become evident under certain circumstances or conditions. This term is often used in psychology and personality theory to describe traits or characteristics that are present but not actively displayed in a person's behavior. Understanding latent dispositions can provide insight into an individual's potential reactions and behaviors in different situations.
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What does "latent schwul" mean?
"Latent schwul" is a German term that translates to "latent gay" in English. It is used to describe someone who is not openly gay or does not outwardly display homosexual tendencies, but may have repressed or hidden feelings of same-sex attraction. The term "latent" implies that these feelings are present but not yet fully realized or expressed.
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What is the difference between latent heat of vaporization and latent heat of fusion?
The latent heat of vaporization is the amount of heat energy required to change a substance from a liquid to a gas at its boiling point, while the latent heat of fusion is the amount of heat energy required to change a substance from a solid to a liquid at its melting point. In other words, the latent heat of vaporization is the energy required to break the intermolecular forces between liquid molecules to turn them into gas molecules, while the latent heat of fusion is the energy required to break the intermolecular forces between solid molecules to turn them into liquid molecules. Both processes involve a change in state of matter and require the input of energy.
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What are examples of latent needs?
Examples of latent needs include the need for convenience in everyday tasks, such as a faster way to complete chores or a more efficient way to commute. Another example is the need for better organization and time management tools to help individuals stay on top of their busy schedules. Additionally, the need for improved health and wellness solutions, such as personalized fitness plans or stress-reducing techniques, can also be considered latent needs.
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