catena-Poly[zinc(II)-μ3-{hydrogen [1-hydr­oxy-2-(3-pyridinio)ethane-1,1-di­yl]diphospho­nato}]

In the polymeric title compound, [Zn(C7H9NO7P2)]n, the zinc(II) centre displays a tetra­hedral coordination geometry provided by four O atoms from three different phospho­nate groups. The crystal structure consists of ladder chains parallel to the b axis built up from vertex-sharing of ZnO4 and PO3C tetra­hedra. The chains are linked by strong intra- and inter­chain O—H⋯O and N—H⋯O hydrogen bonds, forming a three-dimensional supra­molecular assembly

A long short-temory relation network for real-time prediction of patient-specific ventilator parameters

Accurate prediction of patient-specific ventilator parameters is crucial for optimizing patient-ventilator interaction. Current approaches encounter difficulties in concurrently observing long-term, time-series dependencies and capturing complex, significant features that influence the ventilator treatment process, thereby hindering the achievement of accurate prediction of ventilator parameters. To address these challenges, we propose a novel approach called the long short-term memory relation network (LSTMRnet). Our approach uses a long, short-term memory bank to store rich information and an important feature selection step to extract relevant features related to respiratory parameters. This information is obtained from the prior knowledge of the follow up model. We also concatenate the embeddings of both information types to maintain the joint learning of spatio-temporal features. Our LSTMRnet effectively preserves both time-series and complex spatial-critical feature information, enabling an accurate prediction of ventilator parameters. We extensively validate our approach using the publicly available medical information mart for intensive care (MIMIC-III) dataset and achieve superior results, which can be potentially utilized for ventilator treatment (i.e., sleep apnea-hypopnea syndrome ventilator treatment and intensive care units ventilator treatment

Step-by-step assembly of 4d-4f-3d complex based on heptamolybdate anion

National Natural Science Foundation of China [21001026, 61008040]; Innovation Fund for Young Scientist of Fujian Province [2010J05022]; State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences [20110006]; Fuzhou University [2009-XY-5]Four new complexes, (NH4)(11.9)[Ln(4.7)(MoO4)(H2O)(23)(Mo7O24)(4)]center dot xH(2)O (Ln=Pr, x=34 (1); Ln=-Nd, x=19 (2)), [NH4](28)[Ce-8(MoO4)(2)(H2O)(31)(Mo7O24)(8)]center dot 74H(2)O (3) (NH4)(26)[CoPr8(MoO4)(2)(H2O)(33)(Mo7O24)(8)]center dot 54H(2)O. (4) have been synthesized and characterized by single-crystal and powder X-ray diffraction, CHN elemental analyses TGA analyses, IR and UV-Vis spectroscopy. Complex 1-3 are OD compounds constructed by the connection between Ln(III) ions and [Mo7O24](6-) unit. In complex 4. the existence of Coll connects the polyanion clusters into 1D chain. The introduction of 3d metal (cobalt cation) and 4f metal (Ln=Nd-III, Ce-III) encourages the coordination capability for [Mo7O24](6-) unit, which shows interesting coordination modes. The [Mo7O24](6-) unit in 1-4 shows three new coordination modes, connecting up to four metal cations. Complexes 1-4 show antiferromagnetic behavior via variable temperature magnetic study. The photoluminescence spectrum indicates the photoluminescence property for 4. (C) 2012 Elsevier Inc. All rights reserved

Whole-genome sequencing and comparative genomic analysis of a pathogenic Enterocytozoon hepatopenaei strain isolated from Litopenaeus vannamei

Enterocytozoon hepatopenaei (EHP) is an obligate intracellular parasite of shrimp, that may cause growth retardation or even death of shrimp. However, the characteristics of the EHP genome and its evolutionary relationships with other microsporidian genomes are not well understood. In this research, the whole genome of a strain of EHP isolated from Litopenaeus vannamei was sequenced, and detailed functional annotation was performed by using different public databases and genome component analysis. The genome size was 3.03 Mb, with 15 contigs and 2283 protein-coding genes. There were 46 tRNAs and 14 rRNAs (including 6 5S rRNAs, 4 18S rRNAs, and 4 28S rRNAs) in the genome. In addition, details of EHP evolution were revealed by comparative genomic analysis, including analyses of gene family clustering, phylogenetic relationships, gene family expansion and contraction, and synteny. The results will deepen our understanding of the EHP genome and its evolutionary features

miR-150-5p in neutrophil-derived extracellular vesicles associated with sepsis-induced cardiomyopathy in septic patients

Abstract Introduction Early diagnosis and potential therapeutic targets of sepsis-induced cardiomyopathy (SIC) remain challenges clinically. Circulating extracellular vesicles from immune cells carrying crucial injurious mediators, including miRNAs in sepsis. However, the impacts of neutrophil-derived extracellular vesicles and their miRNAs in the SIC development are unknown. Objectives The present study focused on the in-depth miRNA expression profiles of neutrophil-derived extracellular vesicles and explored the potential molecular biomarkers during the process of SIC. Methods Neutrophil-derived extracellular vesicles were isolated from the blood samples in three sepsis patients with or without cardiomyopathy on day 1 and day 3 after ICU admission in comparison with three healthy controls. miRNAs were determined by RNA sequencing. The closely related differentially expressed miRNAs with SIC were further validated through qRT-PCR in the other cohorts of sepsis patients with (30 patients) or without cardiomyopathy (20 patients) and the association between miRNAs and the occurrence or disease severity of septic cardiomyopathy were stratified with logistic regression analysis. Results Sixty-eight miRNAs from neutrophil-derived extracellular vesicles were changed significantly between healthy controls and without septic cardiomyopathy patients (61 miRNAs upregulated and seven downregulated). Thirty-eight miRNAs were differentially expressed in the septic cardiomyopathy patients. 27 common differentially expressed miRNAs were found in both groups with similar kinetics (23 miRNAs upregulated and four downregulated). The enriched cellular signaling pathway mediated by miRNAs from sepsis to septic cardiomyopathy was the HIF-1 signaling system modulated septic inflammation. Using multivariate logistic regression analysis, miR-150-5p coupled with NT-pro BNP, LVEF, and SOFA score (AUC = 0.941) were found to be the independent predictors of septic cardiomyopathy. Conclusion miRNAs derived from neutrophil-derived extracellular vesicles play an important role in septic disease severity development towards cardiomyopathy. miR-150-5p may be a predictor of sepsis severity development but warrants further study