A deep learning-based psi CT network effectively predicts early recurrence after hepatectomy in HCC patients.

Background: Hepatocellular carcinoma (HCC) exhibits a high recurrence rate, and early recurrence significantly jeopardizes patient prognosis, necessitating reliable methods for early recurrence prediction.

Methods: Utilizing multi-institutional data and integrating deep learning (DL) techniques, we established a neural network based on DenseNet capable of concurrently processing patients' triphasic enhanced CT scans. By incorporating an attention mechanism, the model automatically focuses on regions that significantly impact patient survival.

Near-Native Imaging of Metal Ion-Initiated Cell State Transition.

Metal ions are indispensable to life, as they can serve as essential enzyme cofactors to drive fundamental biochemical reactions, yet paradoxically, excess is highly toxic. Higher-order cells have evolved functionally distinct organelles that separate and coordinate sophisticated biochemical processes to maintain cellular homeostasis upon metal ion stimuli. Here, we uncover the remodeling of subcellular architecture and organellar interactome in yeast initiated by several metal ion stimulations, relying on near-native three-dimensional imaging, cryo-soft X-ray tomography.

Substantial Heritability Underlies Fairness Norm Adaptation Capability and its Neural Basis.

The present research uncovers the shared genetic underpinnings of fairness norm adaptation capability, its neural correlates, and long-term mental health outcomes. One hundred and eighty-six twins are recruited and played as responders in the Ultimatum Game (UG) while undergoing fMRI scanning in their early adulthood (Study-1) and are measured on depressive symptoms eight years later (Study-2). With computational modeling, the process of norm adaptation is differentiated from that of fairness valuation in UG.

Nomogram for prediction of severe postoperative complications in elective hepato-pancreato-biliary surgery after COVID-19 breakthrough infection: A large multicenter study.

Background: Currently, there is a deficiency in a strong risk prediction framework for precisely evaluating the likelihood of severe postoperative complications in patients undergoing elective hepato-pancreato-biliary surgery subsequent to experiencing breakthrough infection of coronavirus disease 2019 (COVID-19). This study aimed to find factors predicting postoperative complications and construct an innovative nomogram to pinpoint patients who were susceptible to developing severe complications following breakthrough infection of COVID-19 after undergoing elective hepato-pancreato-biliary surgery.

Methods: This multicenter retrospective cohort study included consecutive patients who underwent elective hepato-pancreato-biliary surgeries between January 3 and April 1, 2023 from four hospitals in China.

Detection of early pulmonary emphysema by multi-contrast x-ray Talbot-Lau interferometer.

Background: Pulmonary emphysema is a part of chronic obstructive pulmonary disease, which is an irreversible chronic respiratory disease. In order to avoid further damage to lung tissue, early diagnosis and treatment of pulmonary emphysema is essential.

Purpose: Early pulmonary emphysema diagnosis is difficult with conventional radiographic imaging.

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.

In this work, we tackle the task of estimating the 6D pose of an object from point cloud data. While recent learning-based approaches have shown remarkable success on synthetic datasets, we have observed them to fail in the presence of real-world data. We investigate the root causes of these failures and identify two main challenges: The sensitivity of the widely-used SVD-based loss function to the range of rotation between the two point clouds, and the difference in feature distributions between the source and target point clouds.

Electrospun Nanofiber Scaffolds Loaded with Metal-Based Nanoparticles for Wound Healing.

Failures of wound healing have been a focus of research worldwide. With the continuous development of materials science, electrospun nanofiber scaffolds loaded with metal-based nanoparticles provide new ideas and methods for research into new tissue engineering materials due to their excellent antibacterial, anti-inflammatory, and wound healing abilities. In this review, the stages of extracellular matrix and wound healing, electrospun nanofiber scaffolds, metal-based nanoparticles, and metal-based nanoparticles supported by electrospun nanofiber scaffolds are reviewed, and their characteristics and applications are introduced.

Near-Native Imaging of Label-Free Silver Nanoparticles-Triggered 3D Subcellular Ultrastructural Reorganization in Microalgae.

Understanding the spatial orientation of nanoparticles and the corresponding subcellular architecture events favors uncovering fundamental toxic mechanisms and predicting response pathways of organisms toward environmental stressors. Herein, we map the spatial location of label-free citrate-coated Ag nanoparticles (Cit-AgNPs) and the corresponding subcellular reorganization in microalgae by a noninvasive 3D imaging approach, cryo-soft X-ray tomography (cryo-SXT). Cryo-SXT near-natively displays the 3D maps of Cit-AgNPs presenting in rarely identified sites, namely, extracellular polymeric substances (EPS) and the cytoplasm.

High energy x-ray Talbot-Lau interferometer employing a microarray anode-structured target source to extend the field of view.

. High energy and large field of view (FOV) phase contrast imaging is crucial for biological and even medical applications. Although some works have devoted to achieving a large FOV at high energy through bending gratings and so on, which would be extremely challenging in medical high energy imaging.

Heritability of cerebral blood flow in adolescent and young adult twins: an arterial spin labeling perfusion imaging study.

Blood perfusion is a fundamental physiological property of all organs and is closely linked to brain metabolism. Genetic factors were reported to have important influences on cerebral blood flow. However, the profile of genetic contributions to cerebral blood flow in adolescents or young adults was underexplored.

Molecular hydrogen promotes wound healing by inducing early epidermal stem cell proliferation and extracellular matrix deposition.

Background: Despite progress in developing wound care strategies, there is currently no treatment that promotes the self-tissue repair capabilities. H has been shown to effectively protect cells and tissues from oxidative and inflammatory damage. While comprehensive effects and how H functions in wound healing remains unknown, especially for the link between H and extracellular matrix (ECM) deposition and epidermal stem cells (EpSCs) activation.

On-Line Fluorescence Microscopy for Identification and Imaging of Apoptotic Cell with Synchrotron-Based Soft X-ray Tomography.

Synchrotron-based soft X-ray tomography (SXT), providing three-dimensional morphology and quantitative distribution of linear absorption coefficient (LAC) of the imaged objects, is widely used in many fields to obtain ultra-structure images, especially in cellular imaging. Off-line fluorescence microscopies (FMs) are combined to identify the type of organelles and status of cells. However, deformation and displacement usually occur during the transfer and loading process, which decreases the precision of two-modal images' registration.

Effect of hydrogen intervention on refractory wounds after radiotherapy: A case report.

Background: Patients with keloids who receive radiotherapy (RT) after surgery can develop refractory wounds that cannot be healed by the patient's own repair system. Such chronic wounds are uneven and complex due to persistent abscess and ulceration. Without external intervention, they can easily result in local tissue necrosis or, in severe cases, large area tissue resection, amputation, and even death.

Regulating the synthesis rate and yield of bio-assembled FeS nanoparticles for efficient cancer therapy.

Biosynthesis has gained growing interest due to its energy efficiency and environmentally benign nature. Recently, biogenic iron sulfide nanoparticles (FeS NPs) have exhibited excellent performance in environmental remediation and energy recovery applications. However, their biosynthesis regulation strategy and application prospects in the biomedical field remain to be explored.

Robust Differentiable SVD.

Eigendecomposition of symmetric matrices is at the heart of many computer vision algorithms. However, the derivatives of the eigenvectors tend to be numerically unstable, whether using the SVD to compute them analytically or using the Power Iteration (PI) method to approximate them. This instability arises in the presence of eigenvalues that are close to each other.

Multiphysics Coupling Simulation and Parameter Study of Planar Solid Oxide Fuel Cell.

In this paper, a numerical model of gas flow, heat transfer, mass transfer and electrochemical reaction multi-physics field coupling of a planar SOFC is established and solved. According to the calculation results, the distribution of velocity, temperature and concentration inside the SOFC cell is analyzed. The influence of cathode inlet flow rate, porosity, rib width and other parameters on the performance of SOFC is also discussed.

Directly observing intracellular nanoparticle formation with nanocomputed tomography.

Directly observing intracellular nanostructure formation remains challenging. In this work, using a rationally designed small-molecule 4-nitrobenzyl carbamate-Cys(SEt)-Asp-Asp-Phe(iodine)-2-cyano-benzothiazole (NBC-Iod-CBT), we directly observed intracellular nanoparticle formation with nanocomputed tomography (nano-CT). In vitro, upon glutathione reduction and nitroreductase (NTR) cleavage, NBC-Iod-CBT undergoes a CBT-Cys click condensation reaction to self-assemble nanoparticles Iod-CBT-NPs with an average linear absorption coefficient (LAC) value of 0.

Matrine inhibits proliferation and migration of HepG2 cells by downregulating ERK1/2 signaling pathways.

Objective: To research the effect of matrine on the proliferation and migration of HepG2 cells through extracellular signal-regulated kinase 1/2 (ERK1/2) signaling pathway.

Methods: HepG2 cell was selected and divided into blank control group, experimental group (matrine 1, 2, and 4 mg/mL), and positive control group (PD98059, ERK1/2 inhibitor). MTT measure was used to detect the effective time and concentration which matrine inhibits HepG2 cells.

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.

Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be tackled by solving a linear least-square problem, which can be done by finding the eigenvector corresponding to the smallest, or zero, eigenvalue of a matrix representing a linear system. Incorporating this in deep learning frameworks would allow us to explicitly encode known notions of geometry, instead of having the network implicitly learn them from data. However, performing eigendecomposition within a network requires the ability to differentiate this operation.

High-Curvature Transition-Metal Chalcogenide Nanostructures with a Pronounced Proximity Effect Enable Fast and Selective CO Electroreduction.

A considerable challenge in the conversion of carbon dioxide into useful fuels comes from the activation of CO to CO or other intermediates, which often requires precious-metal catalysts, high overpotentials, and/or electrolyte additives (e.g., ionic liquids).

Abnormalities within and beyond the cortico-striato-thalamo-cortical circuitry in medication-free patients with OCD revealed by the fractional amplitude of low-frequency fluctuations and resting-state functional connectivity.

Neuroimaging studies of obsessive-compulsive disorder (OCD) often focus on the cortico-striato-thalamo-cortical (CSTC) circuitry, but recent studies have found abnormal spontaneous brain activity in regions outside the CSTC circuitry in patients with OCD using resting-state functional magnetic resonance imaging. Researchers have not clearly determined whether changes in spontaneous brain activity within and beyond the CSTC circuitry coexist in medication-free patients with OCD. To address this question, we recruited 64 medication-free patients with OCD and 60 matched healthy controls (HCs) to investigate their spontaneous brain activity by measuring the fractional amplitude of low-frequency fluctuation (fALFF) and resting-state functional connectivity.

Genetic contribution to the phenotypic correlation between trait impulsivity and resting-state functional connectivity of the amygdala and its subregions.

Trait impulsivity, a predisposition to respond to stimuli without regard for the potentially negative consequences, contributes to many maladaptive behaviors. Studies have shown that both genetic factors and interregional functional interactions underlie trait impulsivity. However, whether common genes contribute to both trait impulsivity and its neural basis is still unknown.