4,638 research outputs found

    2-Methyl-1H-benzimidazol-3-ium hydrogen phthalate

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    The asymmetric unit of the title compound, C8H9N2 +·C8H5O4 −, contains two independent ion pairs. In each 2-methyl-1H-benzimidazolium ion, an intra­molecular O—H⋯O bond forms an S(7) graph-set motif. In the crystal, the components are linked by N—H⋯O hydrogen bonds, forming chains along [210]. Further stabilization is provided by weak C—H⋯O hydrogen bonds

    Effect of Zn doping on magnetic order and superconductivity in LaFeAsO

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    We report Zn-doping effect in the parent and F-doped LaFeAsO oxy-arsenides. Slight Zn doping in LaFe1x_{1-x}Znx_{x}AsO drastically suppresses the resistivity anomaly around 150 K associated with the antiferromagnetic (AFM) spin density wave (SDW) in the parent compound. The measurements of magnetic susceptibility and thermopower confirm further the effect of Zn doping on AFM order. Meanwhile Zn doping does not affect or even enhances the TcT_c of LaFe1x_{1-x}Znx_{x}AsO0.9_{0.9}F0.1_{0.1}, in contrast to the effect of Zn doping in high-TcT_c cuprates. We found that the solubility of Zn content (xx) is limited to less than 0.1 in both systems and further Zn doping (i.e., xx \geq 0.1) causes phase separation. Our study clearly indicates that the non-magnetic impurity of Zn2+^{2+} ions doped in the Fe2_2As2_2 layers affects selectively the AFM order, and superconductivity remains robust against the Zn doping in the F-doped superconductors.Comment: 7 figures, 13 pages; revised version with more dat

    OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection

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    Compared to typical multi-sensor systems, monocular 3D object detection has attracted much attention due to its simple configuration. However, there is still a significant gap between LiDAR-based and monocular-based methods. In this paper, we find that the ill-posed nature of monocular imagery can lead to depth ambiguity. Specifically, objects with different depths can appear with the same bounding boxes and similar visual features in the 2D image. Unfortunately, the network cannot accurately distinguish different depths from such non-discriminative visual features, resulting in unstable depth training. To facilitate depth learning, we propose a simple yet effective plug-and-play module, \underline{O}ne \underline{B}ounding Box \underline{M}ultiple \underline{O}bjects (OBMO). Concretely, we add a set of suitable pseudo labels by shifting the 3D bounding box along the viewing frustum. To constrain the pseudo-3D labels to be reasonable, we carefully design two label scoring strategies to represent their quality. In contrast to the original hard depth labels, such soft pseudo labels with quality scores allow the network to learn a reasonable depth range, boosting training stability and thus improving final performance. Extensive experiments on KITTI and Waymo benchmarks show that our method significantly improves state-of-the-art monocular 3D detectors by a significant margin (The improvements under the moderate setting on KITTI validation set are 1.8210.91%\mathbf{1.82\sim 10.91\%} \textbf{mAP in BEV} and 1.189.36%\mathbf{1.18\sim 9.36\%} \textbf{mAP in 3D}). Codes have been released at \url{https://github.com/mrsempress/OBMO}.Comment: 10 pages, 7 figure

    2,2-Dimethyl-5-[(pyridin-2-yl­amino)­methyl­idene]-1,3-dioxane-4,6-dione

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    In the title compound, C12H12N2O4, the dihedral angle between the pyridine and enamine planes is 3.5 (3)°, while the angle between the dioxanedione (seven atoms) and enamine planes is 4.6 (3)°. The dioxane ring approximates an envelope conformation

    Genome-wide cloning and sequence analysis of leucine-rich repeat receptor-like protein kinase genes in Arabidopsis thaliana

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    Abstract Background Transmembrane receptor kinases play critical roles in both animal and plant signaling pathways regulating growth, development, differentiation, cell death, and pathogenic defense responses. In Arabidopsis thaliana, there are at least 223 Leucine-rich repeat receptor-like kinases (LRR-RLKs), representing one of the largest protein families. Although functional roles for a handful of LRR-RLKs have been revealed, the functions of the majority of members in this protein family have not been elucidated. Results As a resource for the in-depth analysis of this important protein family, the complementary DNA sequences (cDNAs) of 194 LRR-RLKs were cloned into the GatewayR donor vector pDONR/ZeoR and analyzed by DNA sequencing. Among them, 157 clones showed sequences identical to the predictions in the Arabidopsis sequence resource, TAIR8. The other 37 cDNAs showed gene structures distinct from the predictions of TAIR8, which was mainly caused by alternative splicing of pre-mRNA. Most of the genes have been further cloned into GatewayR destination vectors with GFP or FLAG epitope tags and have been transformed into Arabidopsis for in planta functional analysis. All clones from this study have been submitted to the Arabidopsis Biological Resource Center (ABRC) at Ohio State University for full accessibility by the Arabidopsis research community. Conclusions Most of the Arabidopsis LRR-RLK genes have been isolated and the sequence analysis showed a number of alternatively spliced variants. The generated resources, including cDNA entry clones, expression constructs and transgenic plants, will facilitate further functional analysis of the members of this important gene family

    [1-(4-Chloro­phen­yl)-5-hy­droxy-3-phenyl-1H-pyrazol-4-yl](thio­phen-2-yl)methanone

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    In the title compound, C20H13ClN2O2S, the chloro­phenyl, phenyl and thienoyl rings are oriented at dihedral angles 17.84 (7), 53.13 (8) and 34.03 (8)°, respectively, to the central pyrazole ring. An intra­molecular O—H⋯O hydrogen bond occurs. In the crystal, pairs of bifurcated O—H⋯O hydrogen bonds link mol­ecules into inversion dimers with R 2 2(12) graph-set motifs
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