Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000.

This bibliometric review examines the evolving landscape of artificial intelligence (AI) in neurodegenerative diseases research from 2000 to March 16, 2025, utilizing data from 1,402 publications (1,159 articles, 243 reviews) indexed in the Web of Science Core Collection. Through advanced tools - VOSviewer, CiteSpace, and Bibliometrix R - the study maps collaboration networks, keyword trends, and knowledge trajectories. Results reveal exponential growth post-2017, driven by advancements in deep learning and multimodal data integration.

Sprayable zwitterionic self-assembling powder for postoperative adhesion prevention.

Postoperative adhesions, a common complication resulting from surgical trauma, can lead to severe adverse outcomes. Current drug treatments and physical barriers are failed to solve adhesions due to their inherent limitations. In this study, we developed a novel sprayable powder-based drug delivery system, which could self-assemble into dynamically cross-linked zwitterionic hydrogels through the strong electrostatic interactions between polysulfobetaine (pSB) powder and polysulfobetaine-grafted hydroxypropyl-β-cyclodextrin (HCP) nanogel powder.

A Critical Review and Evidence Mapping of Guidelines for Transport of Critically Ill Patients.

Background: Critically ill patients are susceptible to life-threatening adverse events, including respiratory arrest and cardiac arrest. During transport, their vital signs often exhibit significant fluctuations, which potentially increase mortality risk.

Aim: This study aimed to review clinical practice guidelines on intrahospital transport for critically ill patients to generate an evidence map for analysing research trends and identifying gaps in clinical practice guidelines.

Insulin resistance and Alzheimer's disease: Exploring research hotspots and frontiers from a bibliometric and visual analysis (2005-2024).

Background: Alzheimer's disease (AD) and insulin resistance (IR) share intersecting pathological pathways, with IR increasingly implicated in AD pathogenesis. Systematic bibliometric analyses mapping the evolution of this interdisciplinary field remain limited.

Objective: To quantify global research trends, collaboration networks, knowledge structures, and emerging frontiers in IR-AD research from 2005-2024.

Loss-driven dynamic weight and residual transformation in physics-informed neural network.

Physics-Informed Neural Networks (PINNs) have attracted substantial interest as a powerful approach for addressing both forward and inverse problems associated with partial differential equations (PDEs). In this study, we reveal a persistent phenomenon of imbalance within the empirical risk loss function. Building upon this observation, we introduce a loss-driven dynamic weight PINN, along with a theoretical analysis grounded in the neural tangent kernel.

Photocatalytic microrobots for treating bacterial infections deep within sinuses.

Microrobotic techniques are promising for treating biofilm infections located deep within the human body. However, the presence of highly viscous pus presents a formidable biological barrier, severely restricting targeted and minimally invasive treatments. In addition, conventional antibacterial agents exhibit limited payload integration with microrobotic systems, further compromising therapeutic efficiency.

Clinical Practice Guidelines for the Prevention and Management of Pressure Injury in Critically Ill Patients Undergoing Prone Position Ventilation: A Systematic Review.

This systematic review was conducted to assess the quality of clinical practice guidelines (CPGs) on prevention and management of pressure injury (PI) in patients undergoing prone position ventilation (PPV) and summarize the recommendations based on the analyses of the CPGs. We searched the PubMed, Cochrane library, Embase databases, guideline websites, professional association, quality standards, and Wound-Related Research Journals from January 1, 2010 to August 31, 2024. Included guidelines were those with recommendations for prevention and management of PI in patients undergoing PPV published in English.

Three-Dimensional Printed MXene@PANI Hierarchical Architecture for High-Performance Micro-Supercapacitors.

The advent of the Internet of Things has boosted portable and wearable miniature electronics, especially micro-supercapacitors (MSCs) with excellent integrated performance as well as high-power density and a long lifetime. However, the rational design of electrode material formulations and the construction of three-dimensional (3D) structured electrodes with scalable and cost-effective fabrication remains an arduous task for improving the energy density of MSCs to meet all industrial sector requirements, such as the mass-production of microscale structures, a lasting power supply, and safety. To address these challenges, combining the respective capacitance merits of MXenes and polyaniline (PANI), we propose a constructing strategy for the preparation of a 3D MXene@PANI hierarchical architecture consisting of one-dimensional (1D) PANI nanofibers grown on two-dimensional (2D) TiC MXene nanosheets via extrusion-based 3D printing.

Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning.

Masked autoencoder (MAE) has demonstrated its effectiveness in self-supervised point cloud learning. Considering that masking is a kind of corruption, in this work we explore a more general denoising autoencoder for point cloud learning (Point-DAE) by investigating more types of corruptions beyond masking. Specifically, we degrade the point cloud with certain corruptions as input, and learn an encoder-decoder model to reconstruct the original point cloud from its corrupted version.

Robust Stick-and-Play Photothermal Icephobic Film with Bioinspired Insulation Cells.

The integration of photothermal de-icing and micro/nanostructured anti-icing technologies into a surface is regarded as a promising solution to solve ice accretion aggravated. Unfortunately, light-dependent heat effect and large-scale production of micro/nano building still challenge the anti-icing ability and applications for real-world. Herein, a stick-and-play film embedded with bioinspired thermal-management cells is developed.

A method for the identification of lactate metabolism-related prognostic biomarkers and its validations in non-small cell lung cancer.

Lactate metabolism (LM) plays a crucial role in tumor progression and therapy resistance in non-small cell lung cancer (NSCLC). Several methods had been developed for NSCLC prognosis prediction based on lactate metabolism-related information. The existing methods for the construction of prognosis prediction models are mostly based on single models such as linear models, SVM, and decision trees.

Small Ligand-Involved Pickering Droplet Interface Controls Reaction Selectivity of Metal Catalysts.

Developing efficient methods to improve catalytic selectivity, particularly without sacrificing catalytic activity, is of paramount significance for chemical synthesis. In this work, we report a small ligand-involved Pickering droplet interface as a brand-new strategy to effectively regulate reaction selectivity of metal catalysts. It was found that small ligands such as polar arenes could engineer the surface structure of Pt catalysts that were assembled at Pickering droplet interfaces.

Fucoidan Oligosaccharide Supplementation Relieved Kidney Injury and Modulated Intestinal Homeostasis in D-Galactose-Exposed Rats.

A fucoidan oligosaccharide (FOS), a potent compound derived from algae, is known for its diverse biological activities, including prebiotic activity, anticancer activity, and antioxidative properties, and has demonstrated supportive therapeutic effects in treating kidney ailments. This study was conducted to explore the protective influence of FOS on kidney damage due to aging induced by D-galactose in Sprague Dawley (SD) rats. The low-dose FOS group was administered FOS (100 mg/kg) by gavage, and the high-FOS group received FOS (200 mg/kg) by gavage.

Scalable fabrication of biohybrid magnetic MOF-based micromotors for toxin enrichment.

Contemporary industrial production and human activity release numerous toxins into our environment. Metal-organic frameworks (MOFs) are potential candidates for addressing these toxins due to their ultrahigh surface area, tailored pore size, and responsiveness to stimuli. With the rise of micro/nanomotor, imparting active motion to MOFs becomes crucial for efficiently performing tasks in challenging locations.

The era of digital trade: Exploring new mechanisms and threshold effects for green upgrading of manufacturing companies.

The green transformation of manufacturing companies is of strategic importance for promoting sustainable development, optimising energy structure and improving environmental quality. This article empirically examines the impact of digital trade on the green transformation of manufacturing companies and the role of green technology innovation using panel data of Chinese A-share listed manufacturing companies from 2011 to 2021. The findings are as follows: digital trade significantly accelerates the green transformation of manufacturing companies, and this effect is more obvious in mature companies, highly competitive industries and non-renewable energy companies.

A modeling method for thermal steady-state simulation of the four-layer printed circuit board.

Thermal simulation of a Printed Circuit Board (PCB) can help identify potential overheating risks in the circuit. The proposed modeling method combines analytical temperature solutions and numerical approximations. Only Fourier-series analytical solutions related to the prepreg-layer surfaces need to be calculated, rather than the entire structure.

MXenes for Wearable Physical Sensors toward Smart Healthcare.

The gradual rise of personal healthcare awareness is accelerating the deployment of wearable sensors, whose ability of acquiring physiological vital signs depends on sensing materials. MXenes have distinct chemical and physical superiorities over other 2D nanomaterials for wearable sensors. This review presents a comprehensive summary of the latest advancements in MXenes-based materials for wearable physical sensors.

Characteristics and performance of algal-bacterial granular sludge in photo-sequencing batch reactors under various substrate loading rates.

The algae-bacterial granular sludge (ABGS) technology has garnered significant attention due to its remarkable attributes of low carbon emissions. To investigate the performance of the ABGS system under various substrate loading rates, the parallel photo-sequencing batch reactors (P1 and P2) were set up. The results indicated that chlorophyll-a content and extracellular polymeric substance content were measured at 10.

Biological performance of a bioabsorbable magnesium-magnesium phosphate cement interbody fusion cage in a porcine lumbar interbody fusion model: a feasibility study.

Purpose: The aim of the study was to evaluate the feasibility of a bioabsorbable cage consisting of magnesium and magnesium phosphate cement (MPC) in a porcine lumbar interbody fusion model.

Methods: Twelve male Ba-Ma mini pigs underwent lumbar discectomy and fusion with an Mg-MPC cage or a PEEK cage at the L3/L4 and L4/L5 level. Computed tomography (CT) scans were made to evaluate the distractive property by comparing average disc space height (DSH) before and at 6, 12, and 24 weeks after the operation.

[The Optimal Storage Condition and Storage Time of Umbilical Cord Blood from Collection to Preparation].

Objective: To explore the optimal storage condition and time of umbilical cord blood from collection to preparation.

Methods: Collect cord blood samples from 30 healthy newborns, with each new born's umbilical cord blood was divided into two parts on average. One part was stored in cold storage (4 ℃) and the other was stored at room temperature (20-24 ℃).

Biocompatible Silica-Coated Europium-Doped CsPbBr Nanoparticles with Luminescence in Water for Zebrafish Bioimaging.

Cesium lead halide (CsPbX, X = Br, Cl, and I) nanocrystals (NCs) are widely concerned and applied in many fields due to the excellent photoelectric performance. However, the toxicity of Pb and the loss of luminescence in water limit its application in vivo. A stable perovskite nanomaterial with good bioimaging properties is developed by incorporating europium (Eu) in CsPbX NCs followed with the surface coating of silica (SiO) shell (CsPbX:Eu@SiO).

Scalable and Multifunctional Polyurethane/MXene/Carbon Nanotube-Based Fabric Sensor toward Baby Healthcare.

Continuous monitoring of physiological health status and effective protection against external hazards is an indispensable aspect of healthcare management for critically vulnerable populations, particularly for infants or babies. So, the exploration of all-in-one devices remains critical to avoiding their injury and illness. The integration of multiple properties such as sensing, electromagnetic protection, warming/cooling, and water/bacterial repellence into a common fabric is no doubt a promising solution to coping with diverse application scenarios.

Evidence mapping of clinical practice guidelines on nutritional management for pressure injuries and their quality.

Context: The safety and efficacy of nutritional management for pressure injuries (PIs) have been the subjects of ongoing interest. Some evidence demonstrated that nutrition is essential for skin and tissue viability, supporting tissue repair for healing the pressure injury.

Objective: This investigation aimed to systematically review clinical practice guidelines (CPGs) for the nutritional management of PIs and furnish an evidence map to assess research trends and CPG gaps.

High-Performance Se-S Composite Cathode Rich in Defects for Wide-Temperature Solid-State Lithium Batteries.

All-solid-state lithium batteries (ASSLBs) are a research hotspot for their superior safety. The solid electrolytes (SEs) are key components in ASSLBs, and the emerging rare-earth halide SEs (RE-HSEs) are valued for their comprehensive performances of good ionic conductivity, electrochemical stability, and deformability. In addition, cathode materials can influence the properties of ASSLBs, and sulfur (S) attracts much attention due to the lower toxicity and much higher energy density compared with commercial oxide cathodes.