Sex- and trimester-specific impact of gestational co-exposure to organophosphate esters and phthalates on insulin action among preschoolers: Findings from the Ma'anshan birth cohort.

Introduction: Prenatal exposure to organophosphate esters (OPEs) and phthalic acid esters (PAEs) is ubiquitous among pregnant individuals. However, research exploring the relationship between prenatal co-exposure to OPEs and PAEs and childhood insulin function remains limited.

Methods: In this study, utilizing data from 2,246 maternal-fetal dyads in the Ma'anshan Birth Cohort, associations between co-exposure to OPEs and PAEs and insulin action were analyzed.

Macranthoside B Suppresses the Growth of Adenocarcinoma of Esophagogastric Junction by Regulating Iron Homeostasis and Ferroptosis through NRF2 Inhibition.

Background: Macranthoside B (MB) is a saponin compound extracted from hon-eysuckle that has been reported to exhibit significant medicinal values, particularly anti-tumor activities. This study aimed to evaluate the anticancer efficacy of MB in treating adenocarci-noma of the esophagogastric junction (AEG) and elucidate its underlying mechanisms.

Methods: Three AEG cell lines and normal gastric epithelial cells were used to assess the an-ticancer activity of MB in vitro.

Aggregate global features into separable hierarchical lane detection transformer.

Lane detection is one of the key functions to ensure the safe driving of autonomous vehicles, and it is a challenging task. In real driving scenarios, external factors inevitably interfere with the lane detection system, such as missing lane markings, harsh weather conditions, and vehicle occlusion. To enhance the accuracy and detection speed of lane detection in complex road environments, this paper proposes an end-to-end lane detection model with a pure Transformer architecture, which exhibits excellent detection performance in complex road scenes.

Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study.

Background: Accurate differentiation between benign and malignant pancreatic lesions is critical for effective patient management. This study aimed to develop and validate a novel deep learning network using baseline computed tomography (CT) images to predict the classification of pancreatic lesions.

Methods: This retrospective study included 864 patients (422 men, 442 women) with confirmed histopathological results across three medical centers, forming a training cohort, internal testing cohort, and external validation cohort.

Association between behavioral jet lag with subjective and objective circadian rhythm among Chinese young adults.

Background: Behavioral jet lags (social and eating jet lag), the difference in sleep and eating time between weekdays and weekends, are ubiquitous in modern society. However, evidence on the effects of behavioral jet lags on circadian rhythm is limited.

Methods: Social jet lag was assessed using wrist-worn accelerometers.