(3-Hydroxy-2-{[1-(2-oxidophenyl)ethyl­idene]amino-κ2 O,N}propanoato-κO 1)diphenyltin(IV)

In the title compound, [Sn(C6H5)2(C11H11NO4)], the tin(IV) atom is penta-coordinated in a distorted trigonal-bipyramidal SnC2NO2 geometry. In the crystal structure, inter­molecular O—H⋯O hydrogen bonds link the mol­ecules into centrosymmetric dimers. Weak C—H⋯O inter­actions further link the dimers into chains extending in [010]

1,5-Bis(1-phenyl­ethyl­idene)carbonohydrazide

In the title mol­ecule, C17H18N4O, the two phenyl rings form a dihedral angle of 18.15 (17)°. In the crystal, pairs of inter­molecular N—H⋯O hydrogen bonds link the mol­ecules into centrosymmetric dimers. Weak inter­molecular C—H⋯O inter­actions further link the dimers into chains running along [010]

2-Amino-4-[4-(dimethyl­amino)­phen­yl]-5-oxo-5,6,7,8-tetra­hydro-4H-chromene-3-carbonitrile

In the title mol­ecule, C18H19N3O2, the fused cyclo­hexenone and pyran rings adopt sofa conformations. Inter­molecular N—H⋯N and N—H⋯O hydrogen bonds link mol­ecules into corrugated layers parallel to the bc plane

Helicobacter pylori vacA affects the expression of COX-2 in the duodenal mucosa of patients with duodenitis

Duodenitis refers to inflammation that occurs in the duodenum. Helicobacter pylori (Hp) is a known risk factor for duodenitis. This paper attempted to analyze the correlation between Hp virulence genotypes and the initiation and development of duodenal bulbar inflammation (DBI) to lay the foundation for the management of duodenitis induced by Hp infection. Total RNA was extracted from duodenal samples of 156 Hp-positive patients [70 with DBI and 86 with duodenal bulbar ulcer (DBU)] and 80 Hp-free DBI patients, followed by RT-qPCR detection of COX-2 mRNA expression and the presence of virulence factors. The cagA positive (62.2%), vacAs1 (21.79%), vacAm2 (23.72%), vacAs1m2 (19.87%) and iceA1 (55.80%) genotypes were dominant in 156 Hp-positive samples. Statistical difference was observed in vacAs and vacA mixtures between DBI and DBU patients. Gastric metaplasia had an association with vacA allelotypes, and its occurrence had strong correlations with vacAs1 and vacAs1m2 genotypes. The vacAs1 and vacAs1m2 genotypes were correlated with gastric metaplasia occurrence (all p<0.05). There were significant correlations between vacAs and vacA mixtures with cagA genotypes, and between iceA genotypes with vacA mixtures (all p<0.05). COX-2 was strongly expressed in Hp-infected duodenal mucosa and showed correlations with vacA genotype. COX-2 was differentially expressed in vacAs1- and vacAs2-positive patients. COX-2 was more highly upregulated in vacAs1m1- and vacAs1m2-positive patients than vacAs2m2-positive patients. Overall, Hp virulence genotype vacA was correlated with DBI and DBU initiation and development

N′-Cyclo­hexyl­idenebenzohydrazide

In the title compound, C13H16N2O, the cyclo­hexane ring adopts a chair conformation. In the crystal structure, inter­molecular N—H⋯O and C—H⋯O hydrogen bonds link the mol­ecules into chains propagating in [001]

1-(1-Phenyl­ethyl­idene)carbonohydrazide

The title compound, C9H12N4O, crystallizes with two independent mol­ecules in the asymmetric unit. In the crystal, inter­molecular N—H⋯O and N—H⋯N hydrogen bonds link the mol­ecules into paired ribbons propagated in [100]. The crystal studied was a twin (twin law 00/00/001) with a minor component of 25%

Large kernel spectral and spatial attention networks for hyperspectral image classification.

Currently, long-range spectral and spatial dependencies have been widely demonstrated to be essential for hyperspectral image (HSI) classification. Due to the transformer superior ability to exploit long-range representations, the transformer-based methods have exhibited enormous potential. However, existing transformer-based approaches still face two crucial issues that hinder the further performance promotion of HSI classification: 1) treating HSI as 1D sequences neglects spatial properties of HSI, 2) the dependence between spectral and spatial information is not fully considered. To tackle the above problems, a large kernel spectral-spatial attention network (LKSSAN) is proposed to capture the long-range 3D properties of HSI, which is inspired by the visual attention network (VAN). Specifically, a spectral-spatial attention module is first proposed to effectively exploit discriminative 3D spectral-spatial features while keeping the 3D structure of HSI. This module introduces the large kernel attention (LKA) and convolution feed-forward (CFF) to flexibly emphasize, model, and exploit the long-range 3D feature dependencies with lower computational pressure. Finally, the features from the spectral-spatial attention module are fed into the classification module for the optimization of 3D spectral-spatial representation. To verify the effectiveness of the proposed classification method, experiments are executed on four widely used HSI data sets. The experiments demonstrate that LKSSAN is indeed an effective way for long-range 3D feature extraction of HSI

(E)-N′-[(2-Hydroxy-1-naphthyl)methyl­ene]benzohydrazide monohydrate

In the title compound, C18H14N2O2·H2O, the dihedral angle between the benzene ring and the naphthalene system is 5.18 (10)°. Intra­molecular N—H⋯O hydrogen bonds influence the molecular conformation. In the crystal, inter­molecular N—H⋯O and O—H⋯O hydrogen bonds are observed as well as π–π inter­actions between the phenyl ring and the substituted ring of the naphthalene [centroid–centroid distance = 3.676 (11) Å]

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts