Mantle upwelling beneath the South China Sea and links to surrounding subduction systems

© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Lin, J., Xu, Y., Sun, Z., & Zhou, Z. Mantle upwelling beneath the South China Sea and links to surrounding subduction systems. National Science Review, 6(5), (2019): 877-881, doi:10.1093/nsr/nwz123.The evolution of the South China Sea (SCS) is directly linked to the complex subduction systems of the surrounding Pacific, Philippine Sea and Indo-Australian Plates (Fig. 1a). Major advances in the last several years are providing new insights into the SCS-mantle dynamics, through regional seismic imaging of the upper mantle [1,2], unprecedented IODP drilling expeditions (349/367/368/368X) [3–5] that obtained the oceanic basement basalt samples for the first time, geochemical analyses of the SCS-mantle source compositions [6–8] and geodynamic modeling [9,10]. Furthermore, new geological mapping, seismic imaging [11,12] and IODP drilling [13,14] have revealed evidence for significantly greater magma production at the northern SCS rifted margin, in comparison to the magma-poor end-member of the Atlantic rifted margins. This paper provides a new perspective of the SCS-mantle dynamics inspired by new observations and geodynamic modeling. We first highlight new geophysical evidence for a broad region of low-seismic-velocity anomalies in the upper mantle beneath the northern SCS, abundant magmatism during continental breakup and post-seafloor spreading, and geochemical evidence for recycled oceanic components beneath the SCS. We then present new models of layered flows in the mantle beneath the SCS, revealing two modes of plate- and subduction-driven mantle upwelling, including (i) narrow centers of mantle upwelling at shallow depths induced by divergent plate motion at seafloor-spreading centers and (ii) broad zones of mantle upwelling as a result of subduction-induced mantle-return flows at greater depths. These new observations and geodynamic studies suggest strong links between mantle upwelling beneath the SCS and surrounding subducting plates.This work was supported by the National Natural Science Foundation of China (41890813, 91628301, U1606401, 41976066, 91858207 and 41706056), the Chinese Academy of Sciences (Y4SL021001, QYZDY-SSW-DQC005 and 133244KYSB20180029), the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou, GML2019ZD0205), the National Key R&D Program of China (2018YFC0309800 and 2018YFC0310100), the State Oceanic Administration (GASI-GEOGE-02) and China Ocean Mineral Resources R&D Association (DY135-S2–1-04)

Unified Classification and Rejection: A One-versus-All Framework

Classifying patterns of known classes and rejecting ambiguous and novel (also called as out-of-distribution (OOD)) inputs are involved in open world pattern recognition. Deep neural network models usually excel in closed-set classification while performing poorly in rejecting OOD. To tackle this problem, numerous methods have been designed to perform open set recognition (OSR) or OOD rejection/detection tasks. Previous methods mostly take post-training score transformation or hybrid models to ensure low scores on OOD inputs while separating known classes. In this paper, we attempt to build a unified framework for building open set classifiers for both classification and OOD rejection. We formulate the open set recognition of $K$-known-class as a $(K + 1)$-class classification problem with model trained on known-class samples only. By decomposing the $K$-class problem into $K$ one-versus-all (OVA) binary classification tasks and binding some parameters, we show that combining the scores of OVA classifiers can give $(K + 1)$-class posterior probabilities, which enables classification and OOD rejection in a unified framework. To maintain the closed-set classification accuracy of the OVA trained classifier, we propose a hybrid training strategy combining OVA loss and multi-class cross-entropy loss. We implement the OVA framework and hybrid training strategy on the recently proposed convolutional prototype network. Experiments on popular OSR and OOD detection datasets demonstrate that the proposed framework, using a single multi-class classifier, yields competitive performance in closed-set classification, OOD detection, and misclassification detection

(Formato-κO)bis­(1,10-phenanthroline-κ2 N,N′)copper(II) formate hexa­hydrate

In the title compound, [Cu(CHO2)(C12H8N2)2]CHO2·6H2O, the Cu atom is coordinated in a distorted trigonal-bipyramidal fashion by an O atom of the formate ligand and four N atoms of two phenanthroline ligands with Cu—O and Cu—N distances of 2.020 (3) and 1.978 (3)–2.177 (3) Å, respectively. Hydrogen bonding O—H⋯O between water molecules and between water anions as well as π–π inter­actions [centroid–centroid distances between phen rings = 3.38 (7) and 3.40 (5) Å] are responsible for the supra­molecular assembly

The preparation and properties of novel structural carbon foams derived from different mesophase pitches

As a novel porous multi-functional carbon material, carbon foams have high bulk thermal conductivity and low density, making them as excellent materials for thermal management systems applications, such as heat exchangers, space radiators, and thermal protection systems. In this paper, the carbon foams with high thermal conductivity, derived from three kinds of mesophase pitches, were fabricated by the process of foaming, carbonization and graphitization. The microstructures of the foams were examined by scanning electron microscopy. It was found that the pores were uniformly distributed, and the pore wall thickened with increasing foams’ density. The properties of the foams were studied, including compressive strength and thermal conductivity. The results showed that lower density and higher thermal conductivity were achieved for the foams using the two kinds of pitches with higher volatile components. The bulk thermal conductivity of carbon foams were up to 179 W/(m·K) and 201 W/(m·K), for the densities of 0.66 g/cm3 and 0.83 g/cm3, respectively. The foams’ compressive strength was in the range of 1.6 MPa to 3.4 MPa

Modulating Linker Composition of Haptens Resulted in Improved Immunoassay for Histamine.

Histamine (HA) is an important food contaminant generated during food fermentation or spoilage. However, an immunoassay for direct (derivatization free) determination of HA has rarely been reported due to its small size to induce the desired antibodies by its current hapten-protein conjugates. In this work, despite violating the classical hapten design criteria which recommend introducing a linear aliphatic (phenyl free) linker into the immunizing hapten, a novel haptens, HA-245 designed and synthesized with a phenyl-contained linker, exhibited significantly enhanced immunological properties. Thus, a quality-improved monoclonal antibody (Mab) against HA was elicited by its hapten-carrier conjugates. Then, as the linear aliphatic linker contained haptens, Hapten B was used as linker-heterologous coating haptens to eliminate the recognition of linker antibodies. Indirect competitive ELISA (ic-ELISA) was developed with a 50% inhibition concentration (IC50) of 0.21 mg/L and a limit of detection (LOD) of 0.06 mg/L in buffer solution. The average recoveries of HA from spiked food samples for this ic-ELISA ranged from 84.1% and 108.5%, and the analysis results agreed well with those of referenced LC-MS/MS. This investigation not only realized derivatization-free immunoassay for HA, but also provided a valuable guidance for hapten design and development of immunoassay for small molecules

2-(3-Oxocyclo­hex-1-enylamino)acetic acid

The six-membered ring of the title compound, C8H11NO3, adopts an envelope shape with the C atom in the meta position of the carbonyl representing the flap. This atom is disordered over two positions in an 0.865 (6): 0.135 (6) ratio. In the crystal, a two-dimensional supra­molecular network parallel to the ac plane is built up from O—H⋯O and N—H⋯O hydrogen bonds