Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data.

While graph neural networks (GNNs) have become the de facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples. This assumption restricts the classification performance of prevailing GNNs on many real-world applications suffering from low-data regimes. Specifically, features extracted from scarce labeled nodes could not provide sufficient supervision for the unlabeled samples, leading to severe overfitting.

Phosphorus-based soil prophylactics for managing Pb contamination in soil: Slow-release kinetics and microbiological effects.

Soil remediation poses significant challenges due to its spatial heterogeneity, surpassing the complexities of atmospheric and water remediation. This study introduces an innovative approach to prevent soil heavy metal pollution by developing three phosphorus slow-release heavy metal soil prophylactic agents (SLPs) - Sap-11, Sap-12, and Sap-21. At a liquid-to-solid ratio of 1:20, the three types of SLPs achieve phosphorus sustained slow release amounts of 1.

Effect of the mitochondrial uncoupling agent BAM15 against the Toxoplasma gondii RH strain and Prugniaud strain.

Background: Toxoplasmosis is a zoonotic disease caused by the infection of the protozoa Toxoplasma gondii (T. gondii), and safe and effective therapeutic drugs are lacking. Mitochondria, is an important organelle that maintains T.

Hsa_Circ_0000021 Sponges miR-3940-3p/KPNA2 Expression to Promote Cervical Cancer Progression.

Background: Circular RNAs (circRNAs) have a vital role in the occurrence of numerous cancers. However, its function and pattern of expression in cervical cancer (CC) remain unclear. This research aims to investigate the hsa_circ_000002's regulatory mechanism in CC.

Effect of the pseudomonas metabolites HQNO on the Toxoplasma gondii RH strain in vitro and in vivo.

Toxoplasmosis is a widespread disease in humans and animals. Currently, toxoplasmosis chemotherapy options are limited due to severe side effects. There is an urgent need to develop new drugs with better efficacy and few side effects.

IVIM using convolutional neural networks predicts microvascular invasion in HCC.

Objectives: The study aimed to investigate the diagnostic performance of intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging for prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) using convolutional neural networks (CNNs).

Methods: This retrospective study included 114 patients with pathologically confirmed HCC from December 2014 to August 2021. All patients underwent MRI examination including IVIM sequence with 9 b-values preoperatively.

Determination and pharmacokinetics study of UK-5099 in mouse plasma by LC-MS/MS.

Background: UK-5099 is a potent mitochondrial acetone carrier inhibitor, that exhibits anticancer activity. Recently, the anti-Toxoplasma gondii activity of UK-5099 was proposed, and in vivo studies of its pharmacokinetics in BALB/c mice are necessary to further evaluate the clinical effect of UK-5099.

Methods And Results: A simple and fast high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) analysis method was established and verified in terms of its linearity, matrix effect, accuracy, precision, recovery and stability.

hsa_circ_0119412 overexpression promotes cervical cancer progression by targeting miR-217 to upregulate anterior gradient 2.

Background: Mounting evidence summarizes that circRNA is closely implicated in the development of numerous cancers. Our study aimed to investigate the role of circ_0119412 whose function was not explored in cervical cancer.

Methods: RT-qPCR analysis was utilized for the expression analysis of circ_0119412, miR-217, and anterior gradient 2 (AGR2).

An attention-based deep learning model for predicting microvascular invasion of hepatocellular carcinoma using an intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging.

The intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging (IVIM-DWI) with a series of images with different-values has great potential as a tool for detecting, diagnosing, staging, and monitoring disease progression or the response to treatment. The current clinical tumour characterisation using IVIM-DWI is based on the parameter values derived from the IVIM model. On the one hand, the calculation accuracy of such parameter values is susceptible to deviations due to noise and motion; on the other hand, the performance of the parameter values is rather limited with respect to tumour characterisation.

Enhanced visible-light photocatalysis of clofibric acid using graphitic carbon nitride modified by cerium oxide nanoparticles.

Recently, the emerging pharmaceutical micropollutants have become an environmental concern. Herein, we report an efficient elimination of clofibric acid (CA) using visible light-driven g-CN/CeO prepared by hydrothermal method. Among the catalysts with different compound ratios, g-CN/CeO-3 (1.