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Embodied theories claim that semantic representations are grounded in sensorimotor systems, but the contribution of sensorimotor brain areas in representing meaning is still controversial. One current debate is whether activity in sensorimotor areas during language comprehension is automatic. Numerous neuroimaging studies reveal activity in perception and action areas during semantic processing that is automatic and independent of context, but increasing findings show that involvement of sensorimotor areas and the connectivity between word-form areas and sensorimotor areas can be modulated by contextual information. Context Effects on Embodied Representation of Language Concepts focuses on these findings and discusses the influences from word, phrase, and sentential contexts that emphasize either dominant conceptual features or non-dominant conceptual features.
Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. Sections provide an introduction to functionally graded porous structures and detail the effects of graded porosities on bending, buckling, and vibration behaviors within the framework of Timoshenko beam theory and first-order shear deformable plate theory. Other sections cover the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering and methods and focus on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering.
A fundamental introduction to the delopment of random signal processing with an emphasis on analysis. Linear transformation, nonlinear transformation, spectral analysis of stationary and narrow band random process are discussed in detail. With abundant exercises, this book is an essential reference for graduate students, scientists and practitioners in electronical engineering and signal processing.
China's massive economic restructuring in recent decades has generated alarming incidences of mental disorder affecting over one hundred million people.
As China has downsized and privatized its state-owned enterprises, severe unemployment has created a new class of urban poor and widespread social and psychological disorders. In Unknotting the Heart, Jie Yang examines this understudied group of workers and their experiences of being laid off, "counseled," and then reoriented to the market economy.
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