Pre-Established Ion Transport Pathways Through Electrolyte Initiator for High-Efficiency Polymer Interface Enabling Ultra-Stable Aqueous Zinc-Metal Anodes.

Achieving stable zinc-metal anodes is pivotal to realizing high-performance aqueous zinc-metal batteries (AZMBs). The construction of a functional polymer interface layer on the zinc-metal anode surface is confirmed as an effective strategy for mitigating dendrite growth and side reactions, thereby significantly enhancing the stability of zinc-metal anode. However, polymers capable of withstanding electrolyte environments over the long term typically suffer from elevated interfacial impedance, which hinders Zn transport.

SfMDiffusion: self-supervised monocular depth estimation in endoscopy based on diffusion models.

Purpose: In laparoscopic surgery, accurate 3D reconstruction from endoscopic video is crucial for effective image-guided techniques. Current methods for monocular depth estimation (MDE) face challenges in complex surgical scenes, including limited training data, specular reflections, and varying illumination conditions.

Methods: We propose SfMDiffusion, a novel diffusion-based self-supervised framework for MDE.

Design and Conformation of Separators for High-performance Aqueous Zinc-Ion Batteries.

Aqueous zinc-ion batteries (AZIBs) are considered promising candidates for large-scale energy storage due to their high safety, low cost, and environmental friendliness. As a core component, separator plays a unique yet oftentimes overlooked role in providing electrochemical stability in AZIBs. This concept focuses on the exquisite structure-property relationship of separators, highlighting three forms of these components and their structural design requirements, i.

Reconstructing Solvation Structure by Steric Hindrance-Coordination Push-Pull of Dipolymer-HO-Zn toward Long-life Aqueous Zinc-Metal Batteries.

Aqueous zinc-metal batteries are prospective energy storge devices due to their intrinsically high safety and cost effectiveness. Yet, uneven deposition of zinc ions in electrochemical reduction and side reactions at the anode interface significantly hinder their development and application. Here, we propose a solvation-interface attenuation strategy enabled by a frustrated tertiary amine amphiphilic dipolymer electrolyte additive.

Dual supervised sampling networks for real-time segmentation of cervical cell nucleus.

The morphology of the cervical cell nucleus is the most important consideration for pathological cell identification. And a precise segmentation of the cervical cell nucleus determines the performance of the final classification for most traditional algorithms and even some deep learning-based algorithms. Many deep learning-based methods can accurately segment cervical cell nuclei but will cost lots of time, especially when dealing with the whole-slide image (WSI) of tens of thousands of cells.

StainNet: A Fast and Robust Stain Normalization Network.

Stain normalization often refers to transferring the color distribution to the target image and has been widely used in biomedical image analysis. The conventional stain normalization usually achieves through a pixel-by-pixel color mapping model, which depends on one reference image, and it is hard to achieve accurately the style transformation between image datasets. In principle, this difficulty can be well-solved by deep learning-based methods, whereas, its complicated structure results in low computational efficiency and artifacts in the style transformation, which has restricted the practical application.

A Model for Risk Prediction of Cerebrovascular Disease Prevalence-Based on Community Residents Aged 40 and above in a City in China.

Cerebrovascular disease (CVD) is the leading cause of death in many countries including China. Early diagnosis and risk assessment represent one of effective approaches to reduce the CVD-related mortality. The purpose of this study was to understand the prevalence and influencing factors of cerebrovascular disease among community residents in Qingyunpu District, Nanchang City, Jiangxi Province, and to construct a model of cerebrovascular disease risk index suitable for local community residents.

Analysis of gum bleeding among children aged 12-15 years in Jiangxi Province and related influencing factors.

Objective: To study the prevalence of gum bleeding in children aged 12-15 years in Jiangxi Province and related influencing factors for the development of effective prevention and treatment strategies.

Methods: A multistage cluster stratified sampling method was used to select 8,160 children aged 12-15 years for this study. Enrolled children completed a set of survey questionnaires covering children's gender, age, parents' educational level, oral health knowledge scores, attitude scores, and brushing habits in addition of dental examination.