Crystal structure of 3-benzyl-2,3-dihydro-2-thioxoquinazolin-4(1H)-one, C15H12N2OS

Abstract C15H12N2OS, triclinic, P1̅ (no. 2), a = 6.4172(6) Å, b = 9.7237(10) Å, c = 10.5031(10) Å, α = 84.838(2)°, β = 87.561(2)°, γ = 78.557(2)°, V = 639.54(11) Å3, Z = 2, R gt(F) = 0.0362, wR ref(F 2) = 0.0934, T = 296 K

Crystal structure of 3-(2-dimethylaminoethyl)-2,3-dihydro-2-thioxoquinazolin-4(1H)-one, C12H15N3OS

Abstract C12H15N3OS, monoclinic, P21/c (no. 14), a = 7.9840(18) Å, b = 11.331(3) Å, c = 14.428(3) Å, β = 105.702(4)°, V = 1256.5(5) Å3, Z = 4, R gt(F) = 0.0639, wR ref(F 2) = 0.1293, T = 296K

N′-(5-ethoxycarbonyl-3,4-dimethyl-pyrrol-2-yl-methylidene)-4-hydroxybenzohydrazide monohydrate, C17H21N3O5

Abstract C17H21N3O5, monoclinic, P21/n (no. 14), a = 9.2278(16) Å, b = 15.093(3) Å, c = 12.698(2) Å, β = 105.195(12)°, V = 1706.7(5) Å3, Z = 4, R gt(F) = 0.0553, wR ref(F 2) = 0.1662, T = 296 K

2-[(2-Carboxy­phen­yl)sulfan­yl]acetic acid

The title compound, C9H8O4S, affords a zigzig chain in the crystal structure by inter­molecular O—H⋯O hydrogen bonds. The molecular geometry suggests that extensive but not uniform π-electron delocalization is present in the benzene ring and extends over the exocyclic C—S and C—C bonds

Compression Behaviour of Natural and Reconstituted Clays

International audienceThe intercept of the log(1+e) - logσv' straight line is introduced to describe the effect of the starting point on the compressibility of natural and reconstituted clays. It is found that when the effective stress exceeds the remoulded yield stress, the compression behaviour of reconstituted clays is controlled solely by the water content at the remoulded yield stress and the liquid limit. Comparison of the compression behaviour of natural and reconstituted clays indicates that their difference in compressibility is caused by soil structure and the difference in water content at the compression starting point. The compression behaviour of natural clays can be classified into three regimes: 1) the pre-yield regime characterised by small compressibility with soil structure restraining the deformation up to the consolidation yield stress; 2) the transitional regime characterised by a gradual loss of soil structure when the effective stress is between the consolidation yield stress and the transitional stress; and 3) the post-transitional regime characterised by the same change law in compression behaviour as reconstituted clays when the effective stress is higher than the transitional stress. For the investigated clays, the transitional stress is 1.0-3.5 times the consolidation yield stress. The compression index varies solely with the void ratio at an effective stress of 1.0 kPa for both natural clays in post-transitional regime and reconstituted clays when the effective stress exceeds the remoulded yield stress, and when compressed in such cases the compression curves of both natural clays and reconstituted clays can be normalised well to a unique line using the void index

Poly[(μ2-azido-κ2 N 1:N 1)[μ2-5-(8-quinolyl­oxy­methyl)tetra­zolato-κ4 N 1,O,N 5:N 4]zinc(II)]

In the title compound, [Zn(C11H8N5O)(N3)]n, the Zn atom is hexa­coordinated by five N atoms and one O atom in a distorted octa­hedral geometry. The chelating 5-(8-quinolyloxymeth­yl)tetra­zolate ligands are approximately planar, with a dihedral angle of 3.6 (2)° between the quinoline and tetra­zole planes. Adjacent Zn atoms are linked by two bridging azide ligands across a centre of inversion, and further coordination by one N atom of an adjacent tetra­zole unit forms two-dimensional frameworks in (100). C—H⋯N inter­actions exist between ligands in neighbouring layers

2,4,6-Trimethyl­pyridinium dihydrogen phosphate

In the title compound, C8H9N+·H2PO4 −, both the cation and anion have crystallographically imposed mirror symmetry (all atoms apart from one O atom lie on the mirror plane). In the crystal, anions and cations are linked by O—H⋯O and π–π stacking inter­actions [centroid–centroid distance = 3.4574 (6) Å], forming chains parallel to the b axis. Adjacent chains are further connected by N—H⋯O hydrogen bonds into a two-dimensional network

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models

Generalizable 3D part segmentation is important but challenging in vision and robotics. Training deep models via conventional supervised methods requires large-scale 3D datasets with fine-grained part annotations, which are costly to collect. This paper explores an alternative way for low-shot part segmentation of 3D point clouds by leveraging a pretrained image-language model, GLIP, which achieves superior performance on open-vocabulary 2D detection. We transfer the rich knowledge from 2D to 3D through GLIP-based part detection on point cloud rendering and a novel 2D-to-3D label lifting algorithm. We also utilize multi-view 3D priors and few-shot prompt tuning to boost performance significantly. Extensive evaluation on PartNet and PartNet-Mobility datasets shows that our method enables excellent zero-shot 3D part segmentation. Our few-shot version not only outperforms existing few-shot approaches by a large margin but also achieves highly competitive results compared to the fully supervised counterpart. Furthermore, we demonstrate that our method can be directly applied to iPhone-scanned point clouds without significant domain gaps.Comment: CVPR 2023, project page: https://colin97.github.io/PartSLIP_page

Scaling behaviour and memory in heart rate of healthy human

We investigate a set of complex heart rate time series from healthy human in different behaviour states with the detrended fluctuation analysis and diffusion entropy (DE) method. It is proposed that the scaling properties are influenced by behaviour states. The memory detected by DE exhibits an approximately same pattern after a detrending procedure. Both of them demonstrate the long-range strong correlations in heart rate. These findings may be helpful to understand the underlying dynamical evolution process in the heart rate control system, as well as to model the cardiac dynamic process