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Introduction 1. Practices of looking: Images, Power, and Politics 2. Viewers Make Meaning 3. Spectatorship, Power, and Knowledge 4. Reproduction and Visual Technologies 5. The Mass Media and the Public Sphere 6. Consumer Culture and the Manufacturing of Desire 7. Postmodernism and Popular Culture 8. Scientific Looking, Looking at Science 9. The Global Flow of Visual Culture Glossary Index
We used computer simulations to examine the role and interrelationship between search processes that are forward-looking, based on actors' cognitive map of action-outcome linkages, and those that are backward-looking, or experience based. Cognition was modeled as a simple, low-dimensional representation of a more complex, higher dimensional fitness landscape. Results show that, although crude, these representations still act as a powerful guide to initial search efforts and usefully constrain the direction of subsequent experiential search. Changing a cognitive representation itself can act as an important mode of adaptation, effectively resulting in the sequential allocation of attention to different facets of the environment. This virtue of shifting cognitive representation, however, may be offset by the loss of tacit knowledge associated with the prior cognition.
Looking in Classrooms uses educational, psychological, and social science theories and classroom-based research to teach future classroom teachers about the complexities and demands of classroom instruction. While maintaining the core approach of the first ten editions, the book has been thoroughly revised and updated with new research-based content on teacher evaluation, self-assessment, and decision-making; special emphases on teaching students from diverse ethnic, cultural, class, and gender-identity contexts; and rich suggestions for integrating technology into classroom instruction. Widely considered to be the most comprehensive and authoritative source available on effective, successful teaching, Looking in Classrooms synthesizes the knowledge base on student motivation, classroom management, teacher expectations, teacher effectiveness, adaptive instruction for individual learners, and informative observational techniques for enhancing teaching. It addresses key topics in classroom instruction in an accessible fashion, promoting easy intepretation and transfer to practice, and articulates the roles of teacher-centered pedagogy, student-centered instruction, and project-based learning in today‘s classroom. Guided by durable historical knowledge as well as dynamic, emerging conceptions of teaching, this text is ideal for undergraduate teacher training programs and for masters-level courses for teachers, administrators, and superintendents.
Slavoj ?i?ek, a leading intellectual in new social movements that are sweeping Eastern Europe, provides a virtuoso reading of Jacques Lacan. ?i?ek inverts current pedagogical strategies explain difficult philosophical underpinnings of French theoretician and practician who revolutionized our view of psychoanalysis. He approaches Lacan through motifs and works of contemporary popular culture, Hitchcock's Vertigo to Stephen King's Pet Sematary, from McCullough's An Indecent Obsession to Romero's Return of Living Dead--a strategy of looking awry that recalls exhilarating and vital experience of Lacan.?i?ek discovers fundamental Lacanian categories--the triad Imaginary/Symbolic/Real, object small a, the opposition of drive and desire, split subject--at work in horror fiction, in detective thrillers, in romances, in mass media's perception of ecological crisis, and, above all, in Alfred Hitchcock's films. The playfulness of ?i?ek's text, however, is entirely different that associated with deconstructive approach made famous by Derrida. By clarifying what Lacan is saying as well as what he is not saying, ?i?ek is uniquely able distinguish Lacan poststructuralists who so often claim him.
Fluorine substituents have become a widespread and important drug component, their introduction facilitated by the development of safe and selective fluorinating agents. Organofluorine affects nearly all physical and adsorption, distribution, metabolism, and excretion properties of a lead compound. Its inductive effects are relatively well understood, enhancing bioavailability, for example, by reducing the basicity of neighboring amines. In contrast, exploration of the specific influence of carbon-fluorine single bonds on docking interactions, whether through direct contact with the protein or through stereoelectronic effects on molecular conformation of the drug, has only recently begun. Here, we review experimental progress in this vein and add complementary analysis based on comprehensive searches in the Cambridge Structural Database and the Protein Data Bank.
This paper examines the progressive development of the new institutional economics over the past quarter century. It begins by distinguishing four levels of social analysis, with special emphasis on the institutional environment and the institutions of governance. It then turns to some of the good ideas out of which the NIE works: the description of human actors, feasibility, firms as governance structures, and operationalization. Applications, including privatization, are briefly discussed. Its empirical successes, public policy applications, and other accomplishments notwithstanding, there is a vast amount of unfinished business.
The job demands-resources (JD-R) model was introduced in the international literature 15 years ago (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001). The model has been applied in thousands of organizations and has inspired hundreds of empirical articles, including 1 of the most downloaded articles of the Journal of Occupational Health Psychology (Bakker, Demerouti, & Euwema, 2005). This article provides evidence for the buffering role of various job resources on the impact of various job demands on burnout. In the present article, we look back on the first 10 years of the JD-R model (2001-2010), and discuss how the model matured into JD-R theory (2011-2016). Moreover, we look at the future of the theory and outline which new issues in JD-R theory are worthwhile of investigation. We also discuss practical applications. It is our hope that JD-R theory will continue to inspire researchers and practitioners who want to promote employee well-being and effective organizational functioning. (PsycINFO Database Record
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We address current criticisms of the RBV (oversight of dynamism, environmental contingencies, and managers' role) by linking value creation in dynamic environmental contexts to the management of firm resources. Components of the resource management model include structuring the resource portfolio; bundling resources to build capabilities; and leveraging capabilities to provide value to customers, gain a competitive advantage, and create wealth for owners. Propositions linking resource management and value creation are offered to shape future research.
Colored photographic pictures that varied widely across the affective dimensions of valence (pleasant-unpleasant) and arousal (excited-calm) were each viewed for a 6-s period while facial electromyographic (zygomatic and corrugator muscle activity) and visceral (heart rate and skin conductance) reactions were measured. Judgments relating to pleasure, arousal, interest, and emotional state were measured, as was choice viewing time. Significant covariation was obtained between (a) facial expression and affective valence judgments and (b) skin conductance magnitude and arousal ratings. Interest ratings and viewing time were also associated with arousal. Although differences due to the subject's gender and cognitive style were obtained, affective responses were largely independent of the personality factors investigated. Response specificity, particularly facial expressiveness, supported the view that specific affects have unique patterns of reactivity. The consistency of the dimensional relationships between evaluative judgments (i.e., pleasure and arousal) and physiological response, however, emphasizes that emotion is fundamentally organized by these motivational parameters.
High-performance thermoelectric materials lie at the heart of thermoelectrics, the simplest technology applicable to direct thermal-to-electrical energy conversion. In its recent 60-year history, the field of thermoelectric materials research has stalled several times, but each time it was rejuvenated by new paradigms. This article reviews several potentially paradigm-changing mechanisms enabled by defects, size effects, critical phenomena, anharmonicity, and the spin degree of freedom. These mechanisms decouple the otherwise adversely interdependent physical quantities toward higher material performance. We also briefly discuss a number of promising materials, advanced material synthesis and preparation techniques, and new opportunities. The renewable energy landscape will be reshaped if the current trend in thermoelectric materials research is sustained into the foreseeable future.
Compared memory for faces with memory for other classes of familar and complex objects which, like faces, are also customarily seen only in 1 orientation (mono-oriented). Performance of 4 students was tested when the inspection and test series were presented in the same orientation, either both upri
Functional diversity is a component of biodiversity that generally concerns the range of things that organisms do in communities and ecosystems. Here, we review how functional diversity can explain and predict the impact of organisms on ecosystems and thereby provide a mechanistic link between the two. Critical points in developing predictive measures of functional diversity are the choice of functional traits with which organisms are distinguished, how the diversity of that trait information is summarized into a measure of functional diversity, and that the measures of functional diversity are validated through quantitative analyses and experimental tests. There is a vast amount of trait information available for plant species and a substantial amount for animals. Choosing which traits to include in a particular measure of functional diversity will depend on the specific aims of a particular study. Quantitative methods for choosing traits and for assigning weighting to traits are being developed, but need much more work before we can be confident about trait choice. The number of ways of measuring functional diversity is growing rapidly. We divide them into four main groups. The first, the number of functional groups or types, has significant problems and researchers are more frequently using measures that do not require species to be grouped. Of these, some measure diversity by summarizing distances between species in trait space, some by estimating the size of the dendrogram required to describe the difference, and some include information about species' abundances. We show some new and important differences between these, as well as what they indicate about the responses of assemblages to loss of individuals. There is good experimental and analytical evidence that functional diversity can provide a link between organisms and ecosystems but greater validation of measures is required. We suggest that non-significant results have a range of alternate explanations that do not necessarily contradict positive effects of functional diversity. Finally, we suggest areas for development of techniques used to measure functional diversity, highlight some exciting questions that are being addressed using ideas about functional diversity, and suggest some directions for novel research.
This paper surveys the microfoundations, empirical evidence, and estimation issues underlying the aggregate matching function. There is no consensus yet on microfoundations but one is emerging on estimation. An aggregate, constant returns, Cobb-Douglas matching function with hires as a function of vacancies and unemployment has been successfully estimated for several countries. Recent work has utilized disaggregated data to go beyond aggregate estimates, with many refinements and suggestions for future research. The paper discusses spatial aggregation issues, and implications of on-the-job search and of the timing of stocks and flows for estimated matching functions.
Executive Overview Strategic managers and researchers have long been interested in understanding sources of competitive advantage for firms. Traditionally, this effort has focused on the relationship between a firm's environmental opportunities and threats on the one hand, and its internal strengths and weaknesses on the other. Summarized in what has come to be known as SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, this traditional logic suggests that firms that use their internal strengths in exploiting environmental opportunities and neutralizing environmental threats, while avoiding internal weaknesses, are more likely to gain competitive advantages than other kinds of firms.1 This simple SWOT framework points to the importance of both external and internal phenomena in understanding the sources of competitive advantage. To date, the development of tools for analyzing environmental opportunities and threats has proceeded much more rapidly than the development of tools for analyzing a firm's internal strengths and weaknesses. To address this deficiency, this article offers a simple, easy-to-apply approach to analyzing the competitive implications of a firm's internal strengths and weaknesses.
Clinical Professor of Psychiatry Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
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We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image while highlighting salient features useful for a specific task. This enables us to eliminate the necessity of using explicit external tissue/organ localisation modules of cascaded convolutional neural networks (CNNs). AGs can be easily integrated into standard CNN architectures such as the U-Net model with minimal computational overhead while increasing the model sensitivity and prediction accuracy. The proposed Attention U-Net architecture is evaluated on two large CT abdominal datasets for multi-class image segmentation. Experimental results show that AGs consistently improve the prediction performance of U-Net across different datasets and training sizes while preserving computational efficiency. The code for the proposed architecture is publicly available.