Prediction of heavy metal spatial distribution in soils of typical industrial zones utilizing 3D convolutional neural networks.

Land resources are vital for urban development and construction. Abandoned industrial areas often contain large amounts of heavy metals from past industrial activities. Accurate knowledge of soil pollutant content and spatial distribution is crucial to avoid health risks and achieve sustainable soil use.

PF4 Silencing Promotes Trophoblast Cell Proliferation, Migration, Invasion and EMT by Regulating SOCS3/STAT3 Signaling Pathway.

Background: Recurrent Miscarriage (RM) is a chronic and heterogeneous autoimmune disease. Platelet factor 4 (PF4) has been found to be involved in the pathogenesis of RM.

Objective: We aimed to explore the role and mechanism of PF4 on trophoblasts in RM in vitro.

Semi-supervised 3D retinal fluid segmentation via correlation mutual learning with global reasoning attention.

Accurate 3D segmentation of fluid lesions in optical coherence tomography (OCT) is crucial for the early diagnosis of diabetic macular edema (DME). However, higher-dimensional spatial complexity and limited annotated data present significant challenges for effective 3D lesion segmentation. To address these issues, we propose a novel semi-supervised strategy using a correlation mutual learning framework for segmenting 3D DME lesions from 3D OCT images.

Optimization of dual-energy CT enterography parameters for the assessment of Crohn's disease activity: a retrospective study.

Purpose: Discuss the selection of imaging parameters in dual-energy CT enterography (DECTE) assessment for patients with Crohn's disease (CD) at different activity levels.

Method: This study analyzed data from 55 CD patients who had DECTE and endoscopy from 2020 to 2022. Patients were divided into moderate-severe (Crohn's Disease Endoscopic Index of Severity (CDEIS) ≥ 10) and remission-mild (CDEIS < 10) groups.

Tardigrade Dsup: Interactions with DNA and protection of cells from oxidative stress.

The remarkable capability of Tardigrade to survive under extreme conditions has been partially attributed to Dsup, an intrinsically disordered, highly positively charged protein. Dsup has been shown to bind to DNA in vitro, a property that has been associated with the capability of Dsup to exhibit stress-protective effects when expressed in mammalian cells. However, DNA binding of Dsup has not been visualized in living cells and expression of Dsup in different cell types was associated with either protective or detrimental effects.