Gut microbiota affects obesity susceptibility in mice through gut metabolites.

Introduction: It is well-known that different populations and animals, even experimental animals with the same rearing conditions, differ in their susceptibility to obesity. The disparity in gut microbiota could potentially account for the variation in susceptibility to obesity. However, the precise impact of gut microbiota on gut metabolites and its subsequent influence on susceptibility to obesity remains uncertain.

Appraising causal risk and protective factors for rheumatoid arthritis.

Aims: Mendelian randomization (MR) is considered to overcome the bias of observational studies, but there is no current meta-analysis of MR studies on rheumatoid arthritis (RA). The purpose of this study was to summarize the relationship between potential pathogenic factors and RA risk based on existing MR studies.

Methods: PubMed, Web of Science, and Embase were searched for MR studies on influencing factors in relation to RA up to October 2022.

CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation.

Retinal vessels play an important role in judging many eye-related diseases, so accurate segmentation of retinal vessels has become the key to auxiliary diagnosis. In this paper, we present a Cascaded Residual Attention U-Net (CRAUNet) that can be regarded as a set of U-Nets, that allows coarse-to-fine representations. In the CRAUNet, we introduce a DropBlock regularization similar to the frequently-used dropout, which greatly reduces the overfitting problem.

Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms.

Objectives: Develop and evaluate the performance of deep learning and linear regression cascade algorithms for automated assessment of the image layout and position of chest radiographs.

Methods: This retrospective study used 10 quantitative indices to capture subjective perceptions of radiologists regarding image layout and position of chest radiographs, including the chest edges, field of view (FOV), clavicles, rotation, scapulae, and symmetry. An automated assessment system was developed using a training dataset consisting of 1025 adult posterior-anterior chest radiographs.

Segmentation and classification of thyroid follicular neoplasm using cascaded convolutional neural network.

In this paper, we present a segmentation and classification method for thyroid follicular neoplasms based on a combination of the prior-based level set method and deep convolutional neural network. The proposed method aims to discriminate thyroid follicular adenoma (TFA) and follicular thyroid carcinoma (FTC) in ultrasound images. In their appearance, these two kinds of tumours have similar shapes, sizes and contrasts.

Optimized Elastic Network Models With Direct Characterization of Inter-Residue Cooperativity for Protein Dynamics.

The elastic network models (ENMs)are known as representative coarse-grained models to capture essential dynamics of proteins. Due to simple designs of the force constants as a decay with spatial distances of residue pairs in many previous studies, there is still much room for the improvement of ENMs. In this article, we directly computed the force constants with the inverse covariance estimation using a ridge-type operater for the precision matrix estimation (ROPE)on a large-scale set of NMR ensembles.

[Effects of Banxia Xiexin Decoction Containing Serum on Proliferation, Invasion and Metastasis of Gastric Cancer Peritoneal Metastasis Cell Line GC9811-P].

Objective To observe the effects of Banxia Xiexin Decoction (BXD) containing ser- um on proliferation, invasion and metastasis of in vitro human gastric cancer peritoneum cell strain GC9811-P (which has high metastatic potential). Methods BXD containing serum was prepared. GC9811-P cells were inoculated in the E-Plate 96 and CIM Plate 16, and then 0, 25, 50, 100 μL/mL BXD containing serums were added respectively.

[Effects of Baicalin on an orthotopic transplantation mouse model of mismatch repair gene deficient colorectal cancer].

Objective: To study the anticancer effects of Baicalin on an orthotopic transplantation mouse model of mismatch repair gene deficient colorectal cancer.

Methods: Sixty orthotopic transplantation mice model of human colon cancer cell line HCT-116 expressing eGFP were established, which were divided randomly into negative controlled group (5% NaHCO3) and 50, 100, 200 mg/kg Baicalin groups. The nude mice were treated with intragastric infusion twice a day.

[Establishment and applications of the spatial database of land resources information in Anshun, Guizhou Province].

For the purpose of managing and processing land resources and environment information, a spatial database of land information in Anshun City, Guizhou Province, which involved present data and the investigated information by remote sensing, was established under the supporting of PAMAP GIS 4.2. The spatial database could provide the functionality of querying for spatial data and its associated attributes, conversion between the different data formats, mapping the digital terrain, fast and accurate analysis on soil resources, land assessment and management application, and soil erosion risk mapping.