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CTNRL
Network representation learning is one of the important works of analyzing network information. Its purpose is to learn a vector for each node in the network and map it into the vector space, and the resulting number of node...
Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks
Graph neural networks (GNNs) have demonstrated significant potential in analyzing complex graph-structured data. However, conventional GNNs encounter challenges in effectively incorporating global and local features. Therefore...
Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas
This article first put forward the educational application of immersive virtual laboratories for the problems of poor spatial thinking ability and weak hands-on operation ability. Second, aiming at the problems of a lack of...
Xenopus DPPA2 is a Direct Inhibitor of Microtubule Polymerization Required for Nuclear Assembly
John Zhao Xue
Jan 01, 0001
The eukaryotic nucleus mediates the genomic functions of information storage and gene expression, but must be completely rebuilt after every open mitosis as well as during fertilization. Nuclear abnormalities are observed in...
Published by: Rockefeller University
Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index
Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In...
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Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index
Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In...
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Human and mouse leukocytes
Simón Méndez-Ferrer
Mar 19, 2018
In this issue of Blood, Zhao et al use a humanized mouse model to investigate the mechanisms driving daily oscillations in circulating human and murine leukocytes.1 In the same mice, they find human and murine circulating...
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Metabolically Specific In Situ Fluorescent Visualization of Bacterial Infection on Wound Tissues

The ability to effectively detect bacterial infection in human tissues is important for the timely treatment of the infection. However, traditional techniques fail to visualize bacterial species adhered to host cells in situ...

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Proline-Based Boronic Acid Receptors for Chiral Recognition of Glucose

Chiral recognition remains a major challenge in the area of molecular receptor design. With this research, we set out to explore the use of proline-based receptors for chiral recognition. Importantly, the proline structure...

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Impact of Correlated Noise on the Mass Precision of Earth-analog Planets in Radial Velocity Surveys
Characterizing the masses and orbits of near-Earth-mass planets is crucial for interpreting observations from future direct imaging missions (e.g., HabEx, LUVOIR). Therefore, the Exoplanet Science Strategy report recommended...
Metabolically Specific In Situ Fluorescent Visualization of Bacterial Infection on Wound Tissues

The ability to effectively detect bacterial infection in human tissues is important for the timely treatment of the infection. However, traditional techniques fail to visualize bacterial species adhered to host cells in situ...

Published by:
Proline-Based Boronic Acid Receptors for Chiral Recognition of Glucose

Chiral recognition remains a major challenge in the area of molecular receptor design. With this research, we set out to explore the use of proline-based receptors for chiral recognition. Importantly, the proline structure...

Published by:
An Organic–Inorganic Hybrid Exhibiting Electrical Conduction and Single‐Ion Magnetism
The first three–dimensional (3D) conductive single-ion magnet (SIM), (TTF)2[Co(pdms)2] (TTF = tetrathiafulvalene and H2pdms = 1,2-bis(methanesulfonamido)benzene), was electrochemically synthesized and investigated structurally...
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