Effects of steaming practices on the cadmium distribution in edible tissues of the swimming crabs () and its health risk assessment.

This study investigated the redistribution of cadmium (Cd) in edible tissues of swimming crabs () during steaming and evaluated associated human health risks. Experimental results demonstrated that Cd was significantly transferred from brown meat to leg muscles, resulting in a nearly tenfold increase in Cd concentration in steamed leg muscles compared to raw tissues. Human health risk assessment results indicate that the target cancer risk (TCR) values for brown meat and cooking liquor range from 1.

Functional characterization and regulatory mechanism of mango SHORT VEGETATIVE PHASE (SVP) gene family in response to temperature regulation of flowering.

In subtropical regions, cool temperature is the main factor inducing flower bud differentiation of mango (Mangifera indica), and SHORT VEGETATIVE PHASE (SVP) family plays a crucial role in mediating plant responses to ambient temperature. In this study, five SVP gene family members were divided into three branches. Expression patterns showed that the expression levels of MiSVP1 and MiSVP2 were much higher than the other three MiSVP genes at different temperatures.

Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospective observational study.

Background: Temporomandibular disorders (TMDs) are frequently associated with posterior condylar displacement; however, early prediction of this displacement remains a significant challenge. Therefore, in this study, we aimed to develop and evaluate a predictive model for bilateral posterior condylar displacement.

Methods: In this retrospective observational study, 166 cone-beam computed tomography images were examined and categorized into two groups based on condyle positions as observed in the sagittal images of the joint space: those with bilateral posterior condylar displacement and those without.

Numerical study on the supersonic gas-solid two-phase injection mechanism of needle-free syringe.

Supersonic gas-solid injection technology finds extensive use in drug particle delivery systems. However, the combined impact of particle diameter and mass flow rate on the delivery efficiency remain insufficiently explored. Within the Euler-Lagrange framework, this study utilizes the discrete phase method (DPM) for the numerical simulation of supersonic gas-particle flow in a needle-free injector.

Numerical study on the biomechanics mechanism of Type II endoleak after EVAR for Abdominal Aortic Aneurysm.

Type II endoleak, a common complication following Endovascular Aneurysm Repair (EVAR), remains a leading cause of re-intervention, yet its biomechanical mechanisms are not fully understood. This study employed an idealized model of the aneurysmal sac, Inferior Mesenteric Artery (IMA), and Lumbar Arteries (LAs) to explore endoleak mechanisms using Computational Fluid Dynamics (CFD) and Fluid-structure Interaction (FSI) simulations. The results demonstrated that pressure differences between the sac and branch arteries drive Type II endoleak, with the IMA often serving as the primary inlet.

Genome-Wide Identification of the TIFY Family in Longan and Their Potential Functional Analysis in Anthocyanin Synthesis.

TIFY is one of the plant-specific transcription factors, which is extensively involved in regulating plant development, stress response, and biosynthesis of secondary metabolites. In this study, we identified 19 genes from the longan genome data. All of them contained the conserved TIFY domain, and these 19 were distributed on 9 out of the 15 chromosomes of longan.

Extraoral halitosis in functional dyspepsia and its association with small intestinal bacterial overgrowth.

Small intestinal bacterial overgrowth (SIBO) and extraoral halitosis are often observed in functional dyspepsia (FD). We aimed to identify their associations for the first time. In this study, extraoral halitosis was diagnosed and assessed through the organoleptic score (OLS).

Risk factors for noncarious cervical lesions: A case-control study.

Objectives: Noncarious cervical lesions (NCCLs) are multifactorial and can be caused by the anatomical structure of the teeth, erosion, abrasion and abnormal occlusion. The aim of this case-control study was to explore the risk factors for NCCLs.

Methods: Cone-beam computed tomography was used to determine whether a wedge-shaped defect existed at the cementoenamel junction.

Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi.

Objective: This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength.

Methods: We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.

Results: In the multimetal linear regression, Cu (β = -2.

Isolation of three MiDi19-4 genes from mango, the ectopic expression of which confers early flowering and enhances stress tolerance in transgenic Arabidopsis.

Three Di19-4 genes were identified in mango. Overexpression of MiDi19-4B in A. thaliana promoted earlier flowering and enhanced drought, salt, and ABA resistance.

Development of chitosan-based hydrogels for healthcare: A review.

Chitosan-based hydrogels (CSH) are promising materials for healthcare. Based on the relationship among structure, property and application, researches reported within last decade are chosen to elucidate the developing approaches and potential applications of target CSH. The applications of CSH are classified into the conventional biomedical fields, such as drug controlled release, tissue repair and monitoring, and the essential ones including food safety, water purification and air cleaning.

Prediction of pulp exposure risk of carious pulpitis based on deep learning.

Objectives: This study aims to predict the risk of deep caries exposure in radiographic images based on the convolutional neural network model, compare the prediction results of the network model with those of senior dentists, evaluate the performance of the model for teaching and training stomatological students and young dentists, and assist dentists to clarify treatment plans and conduct good doctor-patient communication before surgery.

Methods: A total of 206 cases of pulpitis caused by deep caries were selected from the Department of Stomatological Hospital of Tianjin Medical University from 2019 to 2022. According to the inclusion and exclusion criteria, 104 cases of pulpitis were exposed during the decaying preparation period and 102 cases of pulpitis were not exposed.

Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study.

Objective: The objective of this study was to assess the performance of combining MRI-based texture analysis with machine learning for differentiating sepsis-associated encephalopathy (SAE) from sepsis alone.

Method: Sixty-six MRI-T1WI images of an SAE patient and 125 images of patients with sepsis alone were collected. Frontal lobe, brain stem, hippocampus, and amygdala were selected as regions of interest (ROIs).

Reduced nutrient release and greenhouse gas emissions of lignin-based coated urea by synergy of carbon black and polysiloxane.

An advanced hydrophobic lignin-based polyurethane coated urea (HLPCU) was successfully developed by synergy of carbon black (CB) and polysiloxane. In this work, CB and polysiloxane were employed to modify the liquefied lignin-based polyurethane (LLPU) and improve it's the hydrophobicity. The effects of polysiloxane contents and coating rates on the nutrient release of HLPCU were thoroughly investigated.

A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.

Objective: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepatocellular carcinoma (HCC) based on magnetic resonance imaging (MRI) is crucial for personalized treatment strategy. The purpose of the present study was to differentiate MF-ICC from HCC applying a novel deep-learning-based workflow with stronger feature extraction ability and fusion capability to improve the classification performance of deep learning on small datasets.

Methods: To retain more effective lesion features, we propose a preprocessing method called semi-segmented preprocessing (Semi-SP) to select the region of interest (ROI).

Ectopic expression of two CAULIFLOWER genes from mango caused early flowering in Arabidopsis.

APETALA1 (AP1), CAULIFLOWER (CAL) and FRUITFULL (FUL) were homologous genes with redundant functions in the process of flower transformation and floral development in Arabidopsis. Two CALs genes, MiCAL1 and MiCAL2, were cloned from mango (Mangifera indica L.).

Comparison of samples of blister fluid and scales in the diagnosis of dermatomycosis.

Background: The successful diagnosis of dermatomycosis depends on specimen collection. Dermatomycosis is sampled mainly for scales, but there is a lack of research on specimens of blister fluid.

Objectives: To explore whether blister fluid can diagnose dermatomycosis and compare blister fluid and scale specimens for dermatomycosis diagnosis.

A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI.

It is of potential clinical value to improve the accuracy of Alzheimer's disease (AD) recognition using structural MRI. We proposed a reparametrized convolutional neural network (Re-CNN) to discriminate AD from NC by applying morphological metrics and deep semantic features. The deep semantic features were extracted through Re-CNN on structural MRI.

An Integrated Model Combining Machine Learning and Deep Learning Algorithms for Classification of Rupture Status of IAs.

Background: The rupture risk assessment of intracranial aneurysms (IAs) is clinically relevant. How to accurately assess the rupture risk of IAs remains a challenge in clinical decision-making.

Purpose: We aim to build an integrated model to improve the assessment of the rupture risk of IAs.

Inducing Synergistic DNA Damage by TRIP13 and PARP1 Inhibitors Provides a Potential Treatment for Hepatocellular Carcinoma.

Thyroid hormone receptor interactor 13 (TRIP13), an AAA-ATPase, participates in the development of many cancers. This study explores the function of TRIP13 and synergistic effects of TRIP13 and PARP1 inhibitors in hepatocellular carcinoma (HCC). The dose-dependent effects of TRIP13 and PARP1 inhibitors on HCC cells proliferation or migration were investigated by the CCK-8 and Transwell assays.

Isolation and Functional Characterization of Two () Genes from Mango.

() is an important regulator of photoperiodic flowering and functions at a key position in the flowering regulatory network. Here, two homologs, and , were isolated from "SiJiMi" mango to elucidate the mechanisms controlling mango flowering. The and genes were highly expressed in the leaves and expressed at low levels in the buds and flowers.

New technique for detecting cracked teeth and evaluating the crack depth by contrast-enhanced cone beam computed tomography: an in vitro study.

Background: Cracked teeth may cause various clinical symptoms depending on the extension depth of the crack and the subsequent bacterial infections. However, techniques to reliably determine the extension depths of cracks in teeth before treatment are lacking. The aim of this study was to develop a new technique based on contrast-enhanced cone beam computed tomography (CBCT) to improve the accuracy of crack depth evaluation in vitro.

How anxiety relates to blood donation intention of non-donors: the roles of moral disengagement and mindfulness.

Blood donation anxiety is a major psychological obstacle for blood donation. However, it remains unclear what the mechanism underlying the relationship between anxiety and blood donation intention is and what factor(s) will buffer the negative effects of anxiety. Based on social cognitive theory, we theorized a model delineating the mechanism with which blood donation anxiety was related to blood donation intention.