Early-life famine exposure and subsequent risk of chronic diseases in later adulthood: a population-based retrospective cohort study.

Background: Over the past few decades, China has experienced significant demographic and epidemiological changes. The sharp decline in fertility and mortality rates has accelerated population aging, contributing to an increase in the prevalence of chronic diseases. The nutritional condition during early life is associated with the onset of chronic illnesses later in adulthood.

Analysis and Validation of Autophagy-Related Gene Biomarkers and Immune Cell Infiltration Characteristic in Bronchopulmonary Dysplasia by Integrating Bioinformatics and Machine Learning.

Background: Autophagy and immunity play important regulatory roles in lung developmental disorders. However, there is currently a lack of bioinformatics analysis on autophagy-related genes (ARGs) and immune infiltration in bronchopulmonary dysplasia (BPD). We aim to screen and validate the signature genes of BPD by bioinformatics and in vivo experiment.

Seg-SkiNet: adaptive deformable fusion convolutional network for skin lesion segmentation.

Background: Skin lesion segmentation plays a significant role in skin cancer diagnosis. However, due to the complex shapes, varying sizes, and different color depths, precise segmentation of skin lesions is a challenging task. Therefore, the aim of this study was to design a customized deep learning (DL) model for the precise segmentation of skin lesions, particularly for complex shapes and small target lesions.

TCF19 Enhances Glioma Cell Proliferation via Modulating the Β-Catenin Signaling Pathway through Accelerating DHX32 Transcription.

Background: Transcription factor 19 (TCF19) is considered a crucial transcription factor and acts as an oncogene in a few cancers. Nevertheless, the effect and mechanism of TCF19 on glioma remain unknown.

Objective: This research aimed to explore the function of TCF19 on glioma progression and clarify the potential mechanism.

Effects of upper extremity blood flow restriction training on muscle strength and hypertrophy: a systematic review and meta-analysis.

Background: Low load resistance training with blood flow restriction (LL-BFRT) has been shown to improve muscle strength and hypertrophic function. The effect of LL-BFRT on lower extremity muscle improvement has been widely discussed. However, no studies have discussed the effect of this training method on the upper extremity muscles until now.