Maternal di(2-ethylhexyl) phthalate exposure increases the risk of congenital heart disease in mice offspring.

Abstrct: BACKGROUD: Epidemiological data suggest that maternal occupational exposure to mixed phthalates comprising di(2-ethylhexyl) phthalate (DEHP) increases the risk of congenital heart disease (CHD). In this study, we used mice as an animal model to validate impact of first-trimester DEHP exposure on the risk of CHD in offspring, to elucidate the possible mechanisms and to provide a potential feasible intervention.

Methods And Results: Eight-week-old C57BL/6J pregnant mice were randomly divided into standard and DEHP diet groups.

Uncovering the genetic variation spectrum of colorectal polyposis from a multicentre cohort in China.

This multicentre study addresses the genetic spectrum of colorectal polyposis in China. We analyzed 120 patients with over 10 adenomas using a 139-gene next-generation sequencing panel and multiplex ligation-dependent probe amplification. Findings revealed that 89 patients carried pathogenic germline variants, primarily in the APC gene.

Adaptive damage analysis method for ultimate bearing capacity of steel truss structures with box section.

Traditional damage analysis of steel truss structures requires detailed finite element meshing, and there is a coupling between stress-strain and damage solving, resulting in complex damage analysis and massive computations. In this paper, the element bearing ratio (EBR) reflecting the bearing state of components was defined, and the concept of the element damage factor was introduced based on the principle of deformation energy conservation. A homogeneous generalized yield function (HGYF) for box-section components was constructed to establish adaptive damage factors and the criterion under multi-force combinations.

The membrane-proximal external region of human immunodeficiency virus (HIV-1) envelope glycoprotein trimers in A18-lipid nanodiscs.

During human immunodeficiency virus (HIV-1) entry, the metastable pretriggered envelope glycoprotein (Env) trimer ((gp120/gp41)) opens asymmetrically. We present cryo-EM structures of cleaved asymmetric Env trimers in amphipol-lipid nanodiscs. The gp41 membrane-proximal external region (MPER) could be traced in Env protomers that remained close to the nanodisc despite Env tilting.

Antioxidant and anticancer properties of fucoidan isolated from Saccharina Japonica brown algae.

Fucoidan is a fucose-rich sulfated polysaccharide that has gained attention owing to its various biological activities. In this study, fucoidan was isolated from Saccharina japonica using an enzyme-assisted method, and its antioxidant and anti-hepatocarcinoma effects were evaluated. The fucoidan was a 112.

mPEG-PCL modified Caffeic acid eye drops for endotoxin-induced uveitis treatment.

The modulation of inflammatory mediators has emerged as a critical therapeutic strategy in uveitis management. Current nonsteroidal anti-inflammatory therapies face limitations due to systemic side effects. Caffeic acid (CA), a natural polyphenol with anti-inflammatory properties, holds therapeutic potential but suffers from poor solubility and ocular irritation.

The use of artificial neural network algorithms to enhance tourism economic efficiency under information and communication technology.

With the rapid advancement of information and communication technologies, smart tourism has become a crucial means for improving the quality of tourism services and enhancing economic efficiency in the tourism sector. This work proposes an analysis method based on the artificial neural network to predict tourist behavior patterns through big data analysis, thereby optimizing the allocation of tourism resources. The work begins by collecting various data types, including basic visitor information, consumption records, and satisfaction evaluations, from a well-known smart tourism destination as research samples.

A TaSnRK1α-TaCAT2 model mediates resistance to Fusarium crown rot by scavenging ROS in common wheat.

Fusarium crown rot (FCR) is a serious underlying disease to threaten wheat yield and quality recently. Here, we identify a catalase antioxidant enzyme (TaCAT2) through genome wide association study (GWAS) and whole-exome sequencing (WES) in two nested bi-parental populations. We verify the function of TaCAT2 regulating wheat FCR resistance by genetic transformation.

Association between dietary carotenoid intake and vertebral fracture in people aged 50 years and older: a study based on the National Health and Nutrition Examination Survey.

Unlabelled: This study discussed the association between dietary intake of carotenoids and vertebral fractures by analyzing the target data, concluding a result of negative association and providing valuable information on vertebral fracture.

Objective: This study is to explore the association between dietary intake of carotenoids and vertebral fractures.

Methods: Data of individuals aged ≥ 50 years from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) database were used in this cross-sectional study.

Research on computing task scheduling method for distributed heterogeneous parallel systems.

With the explosive growth of terminal devices, scheduling massive parallel task streams has become a core challenge for distributed platforms. For computing resource providers, enhancing reliability, shortening response times, and reducing costs are significant challenges, particularly in achieving energy efficiency through scheduling to realize green computing. This paper investigates the heterogeneous parallel task flow scheduling problem to minimize system energy consumption under response time constraints.

Influence of 3D printing angles on the accuracy of indirect adhesion transfer models: an in vitro study.

The aim of this study was to evaluate the effect of different Angle printing on the model on the printing platform and whether it affects the later transfer accuracy. Ten bracket transfer models were printed on the platform of the 3D printer in four ways: 0° without support rod, 0°, 45° and 90° with support rod. Transfer guide plates for transfer brackets were made using PVS.

DSS-YOLO: an improved lightweight real-time fire detection model based on YOLOv8.

Fire disasters pose significant risks to human life, economic development, and social stability. The early stages of a fire, often characterized by small flames, diffuse smoke, and obstructed objects, can lead to challenges such as missed detections and poor real-time performance. To address these issues, we propose a DSS-YOLO model based on an improved YOLOv8n architecture, designed to enhance the recognition accuracy of obscured objects and small targets while reducing computational overhead.

Screening necroptosis genes influencing osteoarthritis development based on machine learning.

Machine learning can be applied to identify key genes associated with osteoarthritis (OA). This study aimed to explore the differential expression of necroptosis-related genes (NRGs) during the progression of OA, identify key gene modules strongly linked to the onset of OA, and assess the role of CASP1 and its correlation with immune cell infiltration in OA. Gene expression profile data were obtained for OA and normal tissues: GSE55235 (10 OA and 10 normal synovial tissues) and GSE46750 (12 OA and 12 normal synovial tissues).

Lateral habenula induces cognitive and affective dysfunctions in mice with neuropathic pain via an indirect pathway to the ventral tegmental area.

Neuropathic pain, which has become a major public health concern, is frequently accompanied by the deterioration of affective behavior and cognitive function. However, the brain circuitry underlying these changes is poorly understood. Therefore, we aimed to identify in a mouse model the converging circuit that influences the sensory, affective, and cognitive consequences of neuropathic pain.

Study on the correlation of electron spin resonance with pigment gallstones and trace Cu, Fe in diet.

Through the analysis of electron paramagnetic resonance (EPR) spectra from patients with pigment gallstones, it was found that both Fe and Cu signals were detected in the gallstone powder, exhibiting relatively high intensity. The EPR signal for Fe(III) showed g = 4.18 and ΔHpp = 4.

A lightweight algorithm for steel surface defect detection using improved YOLOv8.

In response to the issues of low precision, a large number of parameters and high model complexity in steel surface defect detection, a lightweight algorithm using improved YOLOv8 is proposed. Firstly, GhostNet is utilized as the backbone network in order to reduce the number of model parameters and computational complexity. Secondly, the MPCA (MultiPath Coordinate Attention) attention mechanism is integrated to enhance feature extraction capabilities.

Coal dust particles can upregulate the expression of NLRP3 inflammasome components in rat alveolar macrophages through phagocytosis.

Previous studies have demonstrated that silica can activate the NLRP3 inflammasome, and that macrophage phagocytosis is an essential step in this process. Although carbon is the primary component of coal dust particles, it also contains other impurities such as free silica, clay, sulfides, and carbonate minerals. Additional research is still necessary to discover if NLRP3 can be triggered due to the low silica content of coal dust particles.

Relationship between serum uric acid levels and metabolism associated fatty liver disease in postmenopausal women based on NHANES 2017-2020.

Studies have shown that postmenopausal women have more metabolic abnormalities than premenopausal women. No consensus exists on how serum uric acid (sUA) affects metabolism-associated fatty liver disease (MAFLD) in postmenopausal women.This prospective observational study examined this link using National Health and Nutrition Examination Survey (NHANES) 2017 to 2020 data.

Multi-objective collaborative optimization of active distribution network operation based on improved particle swarm optimization algorithm.

ADN (Active distribution network) is easily disturbed during its operation, resulting in problems such as power supply quality degradation and operation safety deterioration. Therefore, the research and simulation of multi-objective collaborative optimization of ADN operation based on improved particle swarm optimization algorithm are proposed. An objective function of multi-objective collaborative optimization configuration for ADN operation is constructed.

Activation of PI3K-AKT pathway prevents steroid-induced osteonecrosis of the femoral head via inhibiting Cuproptosis.

This study delved into the role of the PI3K/AKT signaling pathway and cuproptosis in steroid-induced osteonecrosis of the femoral head (SIONFH), assessing the therapeutic potential of the PI3K agonist 740Y-P. We analyzed femoral head specimens from SIONFH patients using DIA proteomics, identifying differentially expressed proteins linked to cuproptosis. In vitro, MC3T3-E1 cells treated with dexamethasone (DEX) exhibited hallmarks of cuproptosis, including downregulation of DLAT, PDHB, SLC25A3, and FDX1, increased copper ions, and reduced osteogenic potential, as shown by decreased ALP activity and RUNX2/BMP2 expression.

TRPML1 ion channel promotes HepaRG cell differentiation under simulated microgravity conditions.

Stem cell differentiation must be regulated by intricate and complex interactions between cells and their surrounding environment, ensuring normal organ and tissue morphology such as the liver. Though it is well acknowledged that microgravity provides necessary mechanical force signals for cell fate, how microgravity affects growth, differentiation, and communication is still largely unknown due to the lack of real experimental scenarios and reproducibility tools. Here, Rotating Flat Chamber (RFC) was used to simulate ground-based microgravity effects to study how microgravity effects affect the differentiation of HepaRG (hepatic progenitor cells) cells.

Association between percent body fat and the risk of prediabetes among Chinese adults: a 5-years longitudinal cohort study.

This study aimed to explore the influence of percent body fat (PBF) on the risk of developing prediabetes among Chinese individuals, given the limited evidence on this relationship. We conducted a retrospective cohort study involving 185,586 Chinese adults. We applied Cox proportional hazards regression models, cubic spline functions, and smooth curve fitting to analyze the relationship between initial PBF and the likelihood of prediabetes, focusing on its nonlinear connection.

Graph convolution networks based on adaptive spatiotemporal attention for traffic flow forecasting.

Traffic flow is the most direct indicator of traffic conditions, and accurate prediction of traffic flow is a key challenge for scholars in the field of intelligent transportation. However, traffic flow displays significant nonlinearity, dynamic changes, spatiotemporal dependencies, and most existing methods overlook the influence of road topology on the spatiotemporal properties of traffic flow, creating substantial challenges for traffic flow prediction. This paper proposes a graph convolutional traffic flow prediction model based on adaptive spatiotemporal attention.

Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks.

The rapid increase in carbon emissions from the logistics transportation industry has underscored the urgent need for low-carbon logistics solutions. Electric logistics vehicles (ELVs) are increasingly being considered as replacements for traditional fuel-powered vehicles to reduce emissions in urban logistics. However, ELVs are typically limited by their battery capacity and load constraints.

Insights into the enhanced photocatalytic degradation of congo red using advanced BaDyFeO catalytic hexamaterials.

Water pollution from the industrial dyes is a serious hazard to ecosystems, and addressing this issue is a significant challenge. To address these issues, we are fabricated BaDyFeO (x = 0.02 to 0.