Quantitative hemodynamics of draining veins in brain arteriovenous malformation: a preliminary study based on computational fluid dynamics.

Objective: This study initiated a preliminary computational fluid dynamics (CFD)-based study to investigate the relationship between quantitative hemodynamics of arteriovenous malformation (AVM) draining veins and rupture.

Methods: The quantitative hemodynamics of AVM draining veins were generated from computed tomography angiography (CTA)-based steady-state CFD models. Morphological and hemodynamic parameters were compared between the ruptured and unruptured groups.

Incidence, mortality, and global burden of retinoblastoma in 204 countries worldwide from 1990 to 2021: Data and systematic analysis from the Global Burden of Disease Study 2021.

Background: Retinoblastoma (Rb), the primary intraocular malignancy in children, poses significant risks, yet its overall burden remains inadequately assessed. This study aims to analyze global Rb trends using Global Burden of Disease, Injuries, and Risk Factors study (GBD) 2021 data.

Methods: GBD 2021 data was analyzed to assess Rb incidence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021.

Noble-Metal-Free Cocatalysts Reinforcing Hole Consumption for Photocatalytic Hydrogen Evolution with Ultrahigh Apparent Quantum Efficiency.

Achieving efficient and sustainable hydrogen production through photocatalysis is highly promising yet remains a significant challenge, especially when replacing costly noble metals with more abundant alternatives. Conversion efficiency with noble-metal-free alternatives is frequently limited by high charge recombination rates, mainly due to the sluggish transfer and inefficient consumption of photo-generated holes. To address these challenges, a rational design of noble-metal-free cocatalysts as oxidative sites is reported to facilitate hole consumption, leading to markedly increased H yield rates without relying on expensive noble metals.

An electrical characteristics extraction and analysis method for the membrane of medaka embryo during its development using electrical impedance spectroscopy.

An electrical characteristics extraction and analysis method for membrane of medaka embryo during its development using Electrical Impedance Spectroscopy (EIS) is proposed. The proposed method is non-invasive, it doesn't affect the embryo's development. Embryo's equivalent electrical circuit (EEC) model is established to extract membrane's electrical characteristics, it is used to fit the embryo's electrical impedance curves in different developmental stages.

Non-Flammable fluorinated gel polymer electrolyte for safe lithium metal batteries in harsh environments.

Compared to liquid electrolytes, gel polymer electrolytes (GPEs) offer enhanced safety and represent an up-and-coming option for high-energy-density lithium metal batteries (LMBs). However, several challenges hindered the practical application of GPEs for LMBs, such as low ionic conductivity at room temperature, decomposition at high voltage, and poor interfacial compatibility with lithium anode. In this study, a non-flammable fluorinated GPE was synthesized using 2,2,2-trifluoroethyl acrylate (TFEA) and ethoxylated trimethylolpropane triacrylate (ETPTA) as precursor materials, with succinonitrile (SN) incorporated as a plasticizer and a dual-salt system of lithium bis(trifluoro-methane) sulfonimide and lithium difluoroxalate borate.

Regulating Growth Kinetics of Carbon Nanotubes Toward Efficient Microwave Absorption.

Carbon nanotubes (CNTs) show great promise for microwave absorption (MA) due to their excellent electrical conductivity and lightweight properties, which are conferred by the one dimensional hollow tubular structure. However, the ambiguous intrinsic motivations behind the formation of CNTs and the intricate growth processes have resulted in a lack of a systematic methodology for precisely controlling their electromagnetic properties. Herein, a flexible CNTs regulation strategy is designed to develop, with the core focus being the directional growth of carbon atoms and the differential catalysis of metal sources.

Molecular Micellar Aggregate Electrolytes Enable Durable Electrochemical Proton Storage.

Proton electrochemistry holds eminent potential for developing high capacity and rate energy storage devices in the post-lithium era. However, the decomposition of water in acidic aqueous electrolytes causes electrode corrosion, leading to capacity fading. Herein, we report a judicious design of molecular micellar aggregates as non-aqueous electrolytes for stable and high-voltage electrochemical proton storage.

A 17.73% Solar-to-hydrogen Efficiency with Durably Active Catalyst in Stable Photovoltaic-electrolysis Seawater System.

Developing durably active catalysts to tackle harsh voltage polarization and seawater corrosion is pivotal for efficient solar-to-hydrogen (STH) conversion, yet remains a challenge. We report a durably active catalyst of NiCr-layered double hydroxide (RuldsNiCr-LDH) with highly exposed Ni-O-Ru units, in which low-loading Ru (0.32 wt%) is locked precisely at defect lattice site (Rulds) by Ni and Cr.

Bifunctional In Doping toward Defect Engineering in SrTiO for Solar Water Splitting.

Defect engineering in SrTiO crystals plays a pivotal role in achieving efficient overall solar water splitting, as evidenced by the influence of Al ions. However, the uneven structural relaxation caused by Al ions has been overlooked, significantly affecting the defect state and catalytic activity. When an AlO crucible is used, optimizing this defect engineering presents a significant challenge.

Fluorination from Surface to Bulk Stabilizing High Nickel Cathode Materials with Outstanding Electrochemical Performance.

High nickel layered oxides provide high energy densities as cathodes for next-generation batteries. However, critical issues such as capacity fading and voltage decay, which derive from labile surface reactivity and phase transition, especially under high-rate high-voltage conditions, prevent their commercialization. Here we propose a fluorination strategy to simultaneously introduce F atoms into oxygen layer and create a F aggregated interface.

Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia.

Background And Hypothesis: Treatment-resistant schizophrenia (TR-SZ) and non-treatment-resistant schizophrenia (NTR-SZ) lack specific biomarkers to distinguish from each other. This investigation aims to identify consistent dysfunctional brain connections with different atlases, multiple feature selection strategies, and several classifiers in distinguishing TR-SZ and NTR-SZ.

Study Design: 55 TR-SZs, 239 NTR-SZs, and 87 healthy controls (HCs) were recruited from the Affiliated Brain Hospital of Nanjing Medical University.

Capture and Diffusion of Hydrogen in Tantalum and Copper with Vacancy Defects: A First-Principles Study.

Oxygen-free copper is utilized in nuclear processing heaters; however, it exhibits poor resistance to hydrogen radiation corrosion. A tantalum-copper diffusion layer with high vacancy concentration was prepared on the copper surface. This layer demonstrates superior hydrogen trapping and diffusion resistance compared to pure tantalum, though the underlying mechanism remains unclear.

Fluid-Actuated Nano-Micro-Macro Structure Morphing Enables Smart Multispectrum Compatible Stealth.

Modern detection technology has driven camouflage technology toward multispectral compatibility and dynamic regulation. However, developing such stealth technologies is challenging due to different frequency-band principles. Here, this work proposes a design concept for a fluid-actuated multispectral compatible smart stealth device that employs a deformable mechanochromic layer/elastomer with a channeled dielectric layer.

Development and research status of intelligent ophthalmology in China.

This paper analyzes the current status, technological developments, academic exchange platforms, and future challenges and solutions in the field of intelligent ophthalmology (IO) in China. In terms of technology, significant progress has been made in various areas, including diabetic retinopathy, fundus image analysis, quality assessment of medical artificial intelligence products, clinical research methods, technical evaluation, and industry standards. Researchers continually enhance the safety and standardization of IO technology by formulating a series of clinical application guidelines and standards.

Assessing intra- and interfraction motion and its dosimetric impacts on cervical cancer adaptive radiotherapy based on 1.5T MR-Linac.

Purpose: The purpose of this study was to quantify the intra- and interfraction motion of the target volume and organs at risk (OARs) during adaptive radiotherapy (ART) for uterine cervical cancer (UCC) using MR-Linac and to identify appropriate UCC target volume margins for adapt-to-shape (ATS) and adapt-to-position (ATP) workflows. Then, the dosimetric differences caused by motion were analyzed.

Methods: Thirty-two UCC patients were included.

Neuromuscular and balance adaptations following acute stretching exercise: a randomized control trial.

Purpose: This study aimed to examine the acute effects of static stretching (SS) and dynamic stretching (DS) on neuromuscular function and balance in recreationally active men.

Method: Sixty participants were randomly assigned to SS, DS, or no stretching (NS) groups. Before and after their respective stretching protocols, participants were assessed using the stork balance test (SBT), Y-balance test (YBT), T-change of direction test (CoD T-test), countermovement jump test (CMJT), squat jump test (SJT), and five-time jump test (FJT).

A Rapidly Assembled and Camouflage-Monitoring-protection Integrated Modular Unit.

Optical-electromagnetic compatible devices are urgently required in intelligent building monitors and cross-band protection. Meanwhile, the insufficient systematicness and semi-empirical attempts significantly limit the prosperity of cross-band materials, causing enormous challenges for deviceization and material database construction. Herein, the systematical component-deviceization-machine learning prediction-array construction strategy is attempted to solve the bottleneck issues.

Human-in-the-Loop Modeling and Bilateral Skill Transfer Control of Soft Exoskeleton.

Soft exoskeletons (exosuits) are expected to provide a comfortable wearing experience and compliant assistance compared with traditional rigid exoskeleton robots. In this paper, an exosuit with twisted string actuators (TSAs) is developed to provide high-strength and variable-stiffness actuation for hemiplegic patients. By formulating the analytic model of the TSA and decoding the human impedance characteristic, the human-exosuit coupled dynamic model is constructed.

Energy Management Strategy for Fuel Cell Vehicles Based on Online Driving Condition Recognition Using Dual-Model Predictive Control.

Given the urgent challenges posed by global climate change and the ongoing energy crisis, fuel cell electric vehicles (FCEVs) have emerged as a promising solution. Incorporating sophisticated energy management strategies (EMSs) into FCEVs can significantly enhance the efficiency of the complex powertrain under diverse driving conditions. In this paper, a dual-model predictive control energy management strategy based on long short-term memory (LSTM)-based driving condition recognition is proposed to enhance the economic performance of FCEVs and robustness across diverse driving conditions.

A Fusion Localization System for Security Robots Based on Millimeter Wave Radar and Inertial Sensors.

In smoggy and dusty environments, vision- and laser-based localization methods are not able to be used effectively for controlling the movement of a robot. Autonomous operation of a security robot can be achieved in such environments by using millimeter wave (MMW) radar for the localization system. In this study, an approximate center method under a sparse point cloud is proposed, and a security robot localization system based on millimeter wave radar is constructed.

Application of Laser-Induced Graphene Flexible Sensor in Monitoring Large Deformation of Reinforced Concrete Structure.

When cracks appear in reinforced concrete (RC) structures, the tensile load will be borne by steel bars with high ductility, resulting in a large deformation. Traditional strain sensors have difficulties in achieving good performance for large deformations in concrete structures. In this paper, based on a laser-induced graphene (LIG) technique, a flexible sensor is proposed for monitoring large deformations of concrete structures.

High-Sensitivity, High-Resolution Miniaturized Spectrometers for Ultraviolet to Near-Infrared Using Guided-Mode Resonance Filters.

Miniaturized spectrometers have significantly advanced real-time analytical capabilities in fields such as environmental monitoring, healthcare diagnostics, and industrial quality control by enabling precise on-site spectral analysis. However, achieving high sensitivity and spectral resolution within compact devices remains a significant challenge, particularly when detecting low-concentration analytes or subtle spectral variations critical for chemical and molecular analysis. This study introduces an innovative approach employing guided-mode resonance filters (GMRFs) to address these limitations.

Excitonic Dark States in Molecular Monolayer Crystals.

The tightly bound excitons and strong dipole-dipole interactions in two-dimensional molecular crystals enable rich physics. Among them, superradiance (SR), the spontaneous coherent emission from bright excitons, has sparked considerable interest in quantum-information applications. In addition, optically forbidden states (dark exciton states) have potential to both achieve Bose-Einstein condensation and modulate exciton dynamics.

THOR: a TMB heterogeneity-adaptive optimization model predicts immunotherapy response using clonal genomic features in group-structured data.

With the increasing number of indications for immune checkpoint inhibitors in early and advanced cancers, the prospect of a tumor-agnostic biomarker to prioritize patients is compelling. Tumor mutation burden (TMB) is a widely endorsed biomarker that quantifies nonsynonymous mutations within tumor DNA, essential for neoantigen production, which, in turn, correlates with the immune response and guides decision-making. However, the general clinical application of TMB-relying on simple mutational counts targeted at a single endpoint-does not adequately capture the complex clonal structure of tumors nor the multifaceted nature of prognostic indicators.

Computational evaluation of interactive dynamics for a full transcatheter aortic valve device in a patient-specific aortic root.

Transcatheter aortic valve implantation (TAVI) has become a key treatment for severe aortic stenosis, especially for patients unsuitable for surgery. Since its introduction in 2002, TAVI has advanced significantly due to improvements in imaging, operator skills, and device engineering. Despite these innovations, challenges in device sizing and positioning remain, complicating outcome predictions.