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Quantum Embedding Theories [PDF]
Accounts of Chemical Research, 2016 In complex systems, it is often the case that the region of interest forms only one part of a much larger system. The idea of joining two different quantum simulations - a high level calculation on the active region of interest, and a low level calculation on its environment - formally defines a quantum embedding.
Qiming Sun
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Frontiers in Medicine, 2022 ObjectiveTo report a preliminary experience of outpatient management of patients with Coronavirus disease 2019 (COVID-19) through an innovative approach of healthcare delivery.Patients and MethodsPatients evaluated at the Mild-to-Moderate COVID-19 ...
Rebecca De Lorenzo +23 more
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Weighted Homology of Bi-Structures over Certain Discrete Valuation Rings
Mathematics, 2021 An RNA bi-structure is a pair of RNA secondary structures that are considered as arc-diagrams. We present a novel weighted homology theory for RNA bi-structures, which was obtained through the intersections of loops.
Andrei Bura, Qijun He, Christian Reidys
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Transactions of the American Mathematical Society, 1980 In this paper the authors compare the embedding of a compact Riemann surface in its tangent bundle to the embedding as the diagonal in the product. These embeddings are proved to be first, but not second, order equivalent. The embedding of a hyperelliptic curve in its tangent bundle is described in an explicit way.
Morrow, J., Rossi, H.
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Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking
IEEE Access, 2022 Nowadays, digital content like videos, audio and images are widely used as evidence in criminal courts and forensic laboratories. Due to the advanced low-cost and easily available multimedia/communication tools and softwares, manipulation of the content ...
Rafi Ullah +4 more
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Embedding Graphs into Embedded Graphs [PDF]
Algorithmica, 2020 A (possibly denerate) drawing of a graph $G$ in the plane is approximable by an embedding if it can be turned into an embedding by an arbitrarily small perturbation. We show that testing, whether a straight-line drawing of a planar graph $G$ in the plane is approximable by an embedding, can be carried out in polynomial time, if a desired embedding of ...
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Attention-Aware Heterogeneous Graph Neural Network
Big Data Mining and Analytics, 2021 As a powerful tool for elucidating the embedding representation of graph-structured data, Graph Neural Networks (GNNs), which are a series of powerful tools built on homogeneous networks, have been widely used in various data mining tasks.
Jintao Zhang, Quan Xu
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Secure Patient Data Transfer Using Information Embedding and Hyperchaos
Sensors, 2021 Health 4.0 is an extension of the Industry standard 4.0 which is aimed at the virtualization of health-care services. It employs core technologies and services for integrated management of electronic health records (EHRs), captured through various ...
Hanan Aljuaid, Shabir A. Parah
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An Entity-Matching System Based on Multimodal Data for Two Major E-Commerce Stores in Mexico
Mathematics, 2022 E-commerce has grown considerably in Latin America in recent years due to the COVID-19 pandemic. E-commerce users in English-speaking and Chinese-speaking countries have web-based tools to compare the prices of products offered by various retailers.
Raúl Estrada-Valenciano +2 more
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