Poly[[aqua­(μ2-oxalato)(μ2-2-oxido­pyridinium-3-carboxylato)holmium(III)] monohydrate]

In the title complex, {[Ho(C2O4)(C6H4NO3)(H2O)]·(H2O)}n, the HoIII ion is coordinated by three O atoms from two 2-oxidopyridinium-3-carboxylate ligands, four O atoms from two oxalate ligands and one water mol­ecule in a distorted bicapped trigonal-prismatic geometry. The 2-oxidopyridin­ium-3-carboxylate and oxalate ligands link the HoIII ions into a layer in (100). These layers are further connected by inter­molecular O—H⋯O hydrogen bonds involving the coordinated water mol­ecules to assemble a three-dimensional supra­molecular network. The uncoordin­ated water mol­ecule is involved in N—H⋯O and O—H⋯O hydrogen bonds within the layer

Discrete chaotic states of a Bose-Einstein condensate

We find the different spatial chaos in a one-dimensional attractive Bose-Einstein condensate interacting with a Gaussian-like laser barrier and perturbed by a weak optical lattice. For the low laser barrier the chaotic regions of parameters are demonstrated and the chaotic and regular states are illustrated numerically. In the high barrier case, the bounded perturbed solutions which describe a set of discrete chaotic states are constructed for the discrete barrier heights and magic numbers of condensed atoms. The chaotic density profiles are exhibited numerically for the lowest quantum number, and the analytically bounded but numerically unbounded Gaussian-like configurations are confirmed. It is shown that the chaotic wave packets can be controlled experimentally by adjusting the laser barrier potential.Comment: 7 pages, 5 figure

Research on the X-Ray Polarization Deconstruction Method Based on Hexagonal Convolutional Neural Network

Track reconstruction algorithms are critical for polarization measurements. In addition to traditional moment-based track reconstruction approaches, convolutional neural networks (CNN) are a promising alternative. However, hexagonal grid track images in gas pixel detectors (GPD) for better anisotropy do not match the classical rectangle-based CNN, and converting the track images from hexagonal to square results in loss of information. We developed a new hexagonal CNN algorithm for track reconstruction and polarization estimation in X-ray polarimeters, which was used to extract emission angles and absorption points from photoelectron track images and predict the uncertainty of the predicted emission angles. The simulated data of PolarLight test were used to train and test the hexagonal CNN models. For individual energies, the hexagonal CNN algorithm produced 15-30% improvements in modulation factor compared to moment analysis method for 100% polarized data, and its performance was comparable to rectangle-based CNN algorithm newly developed by IXPE team, but at a much less computational cost.Comment: 21 pages, 12 figures, submitted to NS

Adaptive Confidence Multi-View Hashing for Multimedia Retrieval

The multi-view hash method converts heterogeneous data from multiple views into binary hash codes, which is one of the critical technologies in multimedia retrieval. However, the current methods mainly explore the complementarity among multiple views while lacking confidence learning and fusion. Moreover, in practical application scenarios, the single-view data contain redundant noise. To conduct the confidence learning and eliminate unnecessary noise, we propose a novel Adaptive Confidence Multi-View Hashing (ACMVH) method. First, a confidence network is developed to extract useful information from various single-view features and remove noise information. Furthermore, an adaptive confidence multi-view network is employed to measure the confidence of each view and then fuse multi-view features through a weighted summation. Lastly, a dilation network is designed to further enhance the feature representation of the fused features. To the best of our knowledge, we pioneer the application of confidence learning into the field of multimedia retrieval. Extensive experiments on two public datasets show that the proposed ACMVH performs better than state-of-the-art methods (maximum increase of 3.24%). The source code is available at https://github.com/HackerHyper/ACMVH.Comment: accepted by International Conference on Acoustics, Speech and Signal Processing 2024(ICASSP2024

The effect of epidural analgesia on maternal-neonatal outcomes: a retrospective study

Objectives: Epidural analgesia is commonly used for relieving labor pain in contemporary clinical practice. The rate of pregnant women who request epidural analgesia during labor has been increasing annually, leading to a debate on the effect of epidural analgesia on maternal or neonatal outcomes.Material and methods: The medical records of nulliparous women with a term singleton pregnancy from January to December 2019 at the Affiliated Hospital of Zunyi Medical University were retrospectively reviewed. The women were divided into those who received epidural analgesia during delivery and those who did not receive it. Maternal and neonatal outcomes were assessed.Results: A total of 528 women met the inclusion criteria. The overall labor analgesia rate was 43.0% (227). Women with epidural analgesia had a significantly longer second stage [34.5 (22.8–65.3) vs 27.0 (18.0–41.3) min, p < 0.001] and total duration of labor [698.5 (493.5–875.0) vs 489.5 (344.0-676.3) min, p < 0.001] compared with those without epidural. There were no significant relationships between epidural analgesia and the normal vaginal delivery rate, the incidence of episiotomy, and other adverse maternal or neonatal outcomes (p > 0.05).Conclusions: Epidural analgesia can prolong the second stage of labor, but this is no increased risk for both mother and neonate

Identification and association of the single nucleotide polymorphisms in calpain3 (CAPN3) gene with carcass traits in chickens

<p>Abstract</p> <p>Background</p> <p>The aim of this study is to screen single nucleotide polymorphisms (SNP) of chicken <it>Calpain3 </it>(<it>CAPN3</it>) gene and to analyze the potential association between <it>CAPN3 </it>gene polymorphisms and carcass traits in chickens. We screened <it>CAPN3 </it>single nucleotide polymorphisms (SNP) in 307 meat-type quality chicken from 5 commercial pure lines (S01, S02, S03, S05, and D99) and 4 native breeds from Guangdong Province (Huiyang Huxu chicken and Qingyuan Ma chicken) and Sichuan Province (Caoke chicken and Shandi Black-bone chicken), China.</p> <p>Results</p> <p>Two SNPs (11818T>A and 12814T>G) were detected by single strand conformation polymorphism (SSCP) method and were verified by DNA sequencing. Association analysis showed that the 12814T>G genotypes were significantly associated with body weight (BW), carcass weight (CW), breast muscle weight (BMW), and leg muscle weight (LMW). Haplotypes constructed on the two SNPs (H1, TG; H2, TT; H3, AG; and H4, AT) were associated with BW, CW (<it>P </it>< 0.05), eviscerated percentage (EP), semi-eviscerated percentage (SEP), breast muscle percentage (BMP), and leg muscle percentage (LMP) (<it>P </it>< 0.01). Diplotype H1H2 was dominant for BW, CW, and LMP, and H2H2 was dominant for EP, SEP, and BMP.</p> <p>Conclusion</p> <p>We speculated that the <it>CAPN3 </it>gene was a major gene affecting chicken muscle growth and carcass traits or it was linked with the major gene(s). Diplotypes H1H2 and H2H2 might be advantageous for carcass traits.</p