Results 11 to 20 of about 555,379 (343)
Functional and embedding feature analysis for pan-cancer classification
With the increasing number of people suffering from cancer, this illness has become a major health problem worldwide. Exploring the biological functions and signaling pathways of carcinogenesis is essential for cancer detection and research.
Jian Lu+8 more
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Research Progress of Microencapsulation Technology of Unsaturated Fatty Acids
Unsaturated fatty acids (UFAs) play a fundamental role in maintaining human health and serve as an important raw material for functional foods.
Junyu CHEN+7 more
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Abstract I argue here that the concept of embedding (understood in the mathematical and computer science sense) provides a general way of understanding the relation between generative AI, written language and semiotics, and animal cognition when understood recursively.
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The embedded entrepreneur [PDF]
Abstract Using comprehensive data on the Danish population, this paper examines the determinants of entrepreneurs' choices of where to locate their new ventures. Our findings suggest that entrepreneurs place much more emphasis on being close to family and friends than on regional characteristics that might influence the performance of their ventures ...
Dahl, Michael S., Sorenson, Olav
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PRIP: A Protein-RNA Interface Predictor Based on Semantics of Sequences
RNA–protein interactions play an indispensable role in many biological processes. Growing evidence has indicated that aberration of the RNA–protein interaction is associated with many serious human diseases. The precise and quick detection of RNA–protein
You Li+4 more
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We present a discussion of embedded vortices in general Yang-Mills theories. The origin of a family structure of solutions is shown to be group theoretic in nature and a procedure for its determination is developed. Vortex stability can be quantified into three types: Abelian topological stability, non-Abelian topological stability, and dynamical ...
Nathan F. Lepora, Anne-Christine Davis
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An Extrinsic Approach Based on Physics-Informed Neural Networks for PDEs on Surfaces
In this paper, we propose an extrinsic approach based on physics-informed neural networks (PINNs) for solving the partial differential equations (PDEs) on surfaces embedded in high dimensional space.
Zhuochao Tang+2 more
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Results of a theoretical study devoted to comparing NLO (non-linear optics) responses of derivatives of tetracene, isochrysene, and pyrene are reported.
Imane Khelladi+4 more
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Methodology of Labeling According to 9 Criteria of DSM-5
Depression disorder is a disease that causes a deterioration of daily function and can induce thoughts of suicide. The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5), which is the official reference of the American Psychiatry
Geonju Lee, Dabin Park, Hayoung Oh
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AbstractHow should we account for the contextual variability of knowledge claims? Many philosophers favour an invariantist account on which such contextual variability is due entirely to pragmatic factors, leaving no interesting context-sensitivity in the semantic meaning of ‘know that.’ I reject this invariantist division of labor by arguing that ...
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