Results 11 to 20 of about 1,306,548 (297)
Frontiers in Systems Neuroscience, 2022 Accounting for qualia in the natural world is a difficult business, and it is worth understanding why. A close examination of several theories of mind—Behaviorism, Identity Theory, Functionalism, and Integrated Information Theory—will be discussed ...
Paul Skokowski, Paul Skokowski
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Symbolic powers of ideals [PDF]
, 2017 We survey classical and recent results on symbolic powers of ideals. We focus on properties and problems of symbolic powers over regular rings, on the comparison of symbolic and regular powers, and on the combinatorics of the symbolic powers of monomial ...
Dao, Hailong +4 more
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Constrained Consistency Modeling for Attributed Network Embedding
IEEE Access, 2019 Network embedding has emerged as a fundamental approach to network analysis tasks. Its main purpose is to learn a suitable mapping function to convert nodes in networks into a low-dimensional representations.
Xuan Zang +3 more
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BMC Medical Imaging, 2021 Background In medical diagnosis of brain, the role of multi-modal medical image fusion is becoming more prominent. Among them, there is no lack of filtering layered fusion and newly emerging deep learning algorithms.
Kai Guo +4 more
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Frontiers in Oncology, 2021 BackgroundThe prognostic value of immune-related genes and lncRNAs in neuroblastoma has not been elucidated, especially in subgroups with different outcomes.
Xiaodan Zhong +11 more
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Symbol Grounding and the Symbolic Theft Hypothesis [PDF]
, 2002 Scholars studying the origins and evolution of language are also interested in the general issue of the evolution of cognition. Language is not an isolated capability of the individual, but has intrinsic relationships with many other behavioral, cognitive, and social abilities.
Cangelosi, Angelo +2 more
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The Emergence of Symbolic Algebra as a Shift in Predominant Models [PDF]
, 2008 Historians of science find it difficult to pinpoint to an exact period in which symbolic algebra came into existence. This can be explained partly because the historical process leading to this breakthrough in mathematics has been a complex and diffuse ...
Heeffer, Albrecht
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IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units
IEEE Access, 2020 People are admitted to intensive care units (ICUs) because they need complete support for failing organ systems, constant monitoring, routine nursing care, and treatment.
Zhenkun Shi +5 more
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Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction
IEEE Access, 2019 Knowledge extracted from the protein-protein interaction (PPI) network can help researchers reveal the molecular mechanisms of biological processes. With the rapid growth in the volume of the biomedical literature, manually detecting and annotating PPIs ...
Hao Zhang +6 more
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Prediction of Synergistic Antibiotic Combinations by Graph Learning
Frontiers in Pharmacology, 2022 Antibiotic resistance is a major public health concern. Antibiotic combinations, offering better efficacy at lower doses, are a useful way to handle this problem.
Ji Lv +6 more
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