Visions of the body. Embodied simulation and aesthetic experience

The present contribution is mainly intended to illustrate how some recent discoveries in the field of neurosciences have revolutionized our ideas about perception, action and cognition, and how these new neuro-scientific perspectives can Ball Prism Suncatcher Gift Box shed light on the human relationship to art and aesthetics, in the frame of an ap

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Sedimentary evidence of glacial entrainment at Patriot Hills and Union Glacier moraines, Ellsworth Mountains, West Antarctica

Abstract This work aims to analyze and compare the sedimentological data of Ellsworth Mountains, West Antarctica: Patriot/Independence Hills and Union Glacier, and how sedimentological data can be used to infer Serving Forks sediment entrainment.Particular attention was concentrated on morainic deposits.Remote sensing data was used in the identific

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Rainfall and temperature influence expression of foliar symptoms of grapevine leaf stripe disease (esca complex) in vineyards

Two vineyards in the Abruzzo Region, central Italy, affected by grapevine leaf stripe disease (GLSD), were monitored for incidence and severity of foliar symptoms of the disease for 21 consecutive years (1994 to 2014).Each year, rainfall and temperature were recorded.Correlations between symptom incidence or severity and rainfall or temperature of

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Are These Cardiomyocytes? Protocol Development Reveals Impact of Sample Preparation on the Accuracy of Identifying Cardiomyocytes by Flow Cytometry

Summary: Several protocols now support efficient differentiation of human pluripotent stem cells to cardiomyocytes (hPSC-CMs) but these still indicate line-to-line variability.As the number of studies implementing this technology expands, accurate assessment of cell identity is paramount to well-defined studies that can be replicated among laborato

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Kick Prediction Method Based on Artificial Neural Network Model

Kick is one of the most important drilling problems, and because its occurrence makes drilling engineering extremely complex, it is essential to predict the possibility of kick as soon as possible.In this study, k-means clustering was combined with four artificial neural networks: regularized RBFNN, generalized RBFNN, GRNN, Baby Rattle and PNN, to

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