Ionic Polarization-Driven Defect Engineering in NaFe(PO)(PO) Cathode: Fast Charging and Ultra-Long Cycle Life of Sodium-Ion Batteries.

The NaFe(PO)(PO) (NFPP) cathode material faces the challenge of coordinating the improvement of high-rate performance and long-cycle stability for sodium-ion batteries (SIBs). This study proposes an ionic polarization-driven defect engineering strategy, which regulates the electronic structure and Na transmission dynamics of NFPP through Bi doping. Experimental results and theoretical calculations show that Bi with (18 + 2) electron configuration significantly enhances the crystal structure stability of NFPP by strengthening the covalency of Bi─O bonds.

An improved chilli pepper flower detection approach based on YOLOv8.

Artificial pollination can considerably improve pollination success and boost chilli pepper fruit set and quality when grown in enclosed environments (e.g., greenhouses).

Facile synthesization of NaOH activated hierarchical porous biochar from cucumber straw for the effective removal of doxycycline in aqueous solution.

The effective utilization of biomass waste for the fabrication of biochar adsorbents has aroused significant interest. In this work, a novel hierarchical porous biochar (HPBC) was successfully synthesized by dry mixing combined with one-step pyrolysis method using cucumber straw as a raw material and NaOH as an activator. The prepared HPBC was then applied to remove doxycycline (DOX) from aqueous solutions.

Nano co-inducer of immunogenic cell death and ferroptosis for anti-tumor immunotherapy.

Due to population aging and lifestyle changes, the global tumor burden has increased, making tumor disease a significant challenge in public health. Recently, immunotherapy emerged as an effective approach for tumor treatment by activating and enhancing the body's immune system to precisely identify and attack tumor cells. However, its efficacy was limited by the "cold" immunosuppressive tumor microenvironment (ITME) and the tissue repair capabilities of tumors.

Zinc Metalloprotease SlMEP1: An Essential Factor Required for Fungal Virulence in .

is the causal pathogen of the devastating tomato gray leaf spot with a wide range of alternative plant hosts. To mitigate its potential endemic in facility-cultivated tomatoes, novel disease control strategies should be attempted to minimize the use of chemical fungicides. In this study, we identified a metalloprotease from genome and designated it as SlMEP1, as it appears to be a typical zinc metalloproteinase containing a WLM (WSS1-like metalloprotease) domain and a characteristic HEXXH motif, which we determined by analyzing its transcriptional profile and enzymatic functions.

An advanced deep learning method for pepper diseases and pests detection.

Despite the significant progress in deep learning-based object detection, existing models struggle to perform optimally in complex agricultural environments. To address these challenges, this study introduces YOLO-Pepper, an enhanced model designed specifically for greenhouse pepper disease and pest detection, overcoming three key obstacles: small target recognition, multi-scale feature extraction under occlusion, and real-time processing demands. Built upon YOLOv10n, YOLO-Pepper incorporates four major innovations: (1) an Adaptive Multi-Scale Feature Extraction (AMSFE) module that improves feature capture through multi-branch convolutions; (2) a Dynamic Feature Pyramid Network (DFPN) enabling context-aware feature fusion; (3) a specialized Small Detection Head (SDH) tailored for minute targets; and (4) an Inner-CIoU loss function that enhances localization accuracy by 18% compared to standard CIoU.

Neutrophil to high-density lipoprotein cholesterol ratio as a potential inflammatory marker for predicting all-cause mortality in out-of-hospital cardiac arrest survivors.

Out-of-hospital cardiac arrest (OHCA) survivors have more than one-third mortality rate. Numerous inflammatory indicators are available, and it should be feasible to identify a fast and accurate way to aid medical decisions. This retrospective cohort study included 247 patients with OHCA, hospitalized between January 2015 and August 2024.

Reprogramming Retinal Microglia Polarization by Efferocytosis-Mimicking Nanoparticles for Ameliorating Diabetic Retinopathy.

Diabetic retinopathy (DR), as the most common microvascular complication of diabetes, seriously threatens the vision of diabetic patients. As the resident phagocytes of the retina, microglia participate in inflammation, neovascularization, and neurodegeneration of DR. Herein, apoptotic retinal cell membrane-coated, rapamycin-loaded mesoporous Prussian blue NPs as immunomodulators for ameliorating DR by modulating microglial polarization are reported.

A Lightweight Framework for Protected Vegetable Disease Detection in Complex Scenes.

The rapid development of computer vision technology has provided new technical support for smart agriculture. Vegetable diseases represent a significant threat to agricultural production, with severity that cannot be ignored. However, through scientifically effective prevention and control measures, these negative impacts can be significantly mitigated.

Effect of Levosimendan Use on All-Cause Mortality in Out-of-Hospital Cardiac Arrest Survivors After Extracorporeal Cardiopulmonary Resuscitation.

Survivors of out-of-hospital cardiac arrest (OHCA) after external cardiopulmonary resuscitation (ECPR) have a mortality rate as high as 50-70%. The use of vasoactive inotropes worsen the mortality rate at admission. The administration of levosimendan within 72 h of ECPR facilitates extracorporeal membrane oxygenation (ECMO) weaning, so it is important to determine whether levosimendan improves mortality.

The impact of adult attachment on career decision-making in Chinese college students: the chain mediating role of self-differentiation and social support.

Introduction: This study investigates the influence of adult attachment on career decision-making among Chinese university students, focusing on the chain mediation roles of self-differentiation and social support. Grounded in attachment theory and Bowen's family systems theory, the proposed model "adult attachment → self-differentiation → social support → career decision-making" elucidates how emotional dependency indirectly shapes career choices through psychological maturity and social resource integration, offering novel insights for career counseling.

Methods: Data were collected from 908 students across three universities in Shandong Province using standardized scales: the Experiences in Close Relationships Inventory, Revised Differentiation of Self Inventory, Social Support Rating Scale, and Career Decision Inventory.

Enhanced near-infrared Ru (II) complex fluorescence sensor for sensitive sensing of Al and cell imaging.

A near-infrared (NIR) fluorescent sensor (λ = 790 nm), [Ru ((CHO)bipy) (BIMPY)], was synthesized and thoroughly characterized, which can selectively recognize Al ions in THF. The [Ru ((CHO)bipy) (BIMPY)] has excellent sensitivity (LOD = 3.48 × 10 mol/L) towards Al with a 2:1 (Ru complex/Al) complex ratio and opportune binding constant (K = 606.

Bioinspired single-atom nanozymes for microplastic degradation.

Copper single-atom-loaded graphitic nitride nanozymes (Cu SAs) were constructed by bioinspired rational design from natural laccase and density functional theory calculations. Theoretical investigation revealed the geometrical and electronic structural advantages of the Cu-N active center. Experimental tests confirmed the excellent performance in microplastic degradation, with more than 90% mineralized into non-toxic products, providing a new strategy for microplastic pollution management.

Reinforcement Effect of CaCl on Cementation Performance of Solid-Waste-Based Cementitious Materials for Fine Tailings.

Cemented paste backfill with mine tailings provides a desirable solution for maximally utilizing mine tailings. Ordinary Portland cement (OPC) is the most widely used binder for cemented tailings backfills; however, the serious environmental problems resulting from OPC production and the drawbacks of OPC in cementing fine tailings motivate the investigation of novel binders characterized by environmental friendliness, cost-effectiveness, and efficiency. We previously synthesized solid-waste-based cementitious materials (SWCMs) for cementing fine tailings.

Medical image segmentation by combining feature enhancement Swin Transformer and UperNet.

Medical image segmentation plays a crucial role in assisting clinical diagnosis, yet existing models often struggle with handling diverse and complex medical data, particularly when dealing with multi-scale organ and tissue structures. This paper proposes a novel medical image segmentation model, FE-SwinUper, designed to address these challenges by integrating the strengths of the Swin Transformer and UPerNet architectures. The objective is to enhance multi-scale feature extraction and improve the fusion of hierarchical organ and tissue representations through a feature enhancement Swin Transformer (FE-ST) backbone and an adaptive feature fusion (AFF) module.

Inducing factors and coping strategies for insufficient enterprise motivation in University-Industry Collaboration (UIC).

University-Industry Collaboration (UIC) represents a vital pathway for cultivating high-caliber talent. However, insufficient enterprise motivation in UIC persists as a fundamental challenge in practice, significantly impacting collaboration quality and effectiveness. While this issue demands attention, related research remains in preliminary stages.

Pest detection in dynamic environments: an adaptive continual test-time domain adaptation strategy.

Pest management is essential for agricultural production and food security, as pests can cause significant crop losses and economic impact. Early pest detection is key to timely intervention. While object detection models perform well on various datasets, they assume i.

Ionic porous organic polymer as a bifunctional platform for CO photoreduction and proton conduction.

To unveil the potential of ionic porous organic polymers, the ion-exchanged sample POP-BPy-PMV was synthesized, exhibiting a CO generation rate of 22.75 μmol g h. Additionally, the original POP-BPy displayed a high proton conductivity of 1.

Revelation of mechanisms associated with strengthening plant cold tolerance through using exogenous substances.

Cold stress (CS) is one of the main factors that limits the crop or plant growth and development in many regions of the world. Many researchers have been endeavoring to break the natural temperature barrier to grow plants in extremely cold areas or to alleviate erratic cold devastation on crops in temperate or subtropical regions for years. Numerous studies and research papers published recently for the last two decades have proven that exogenous substances (ESs) are effective and practical in helping plants tolerate CS.

Psychological pathways in enterprise participation in university-industry collaboration: how does social cognitive theory explain participation willingness?

Background: With the in-depth implementation of innovation-driven development strategies, University-Industry Collaboration (UIC) has become an important pathway for promoting technological innovation and industrial upgrading. However, enterprises, as one of the main collaboration entities, show significant differences in their participation enthusiasm and depth. Existing research mainly explores UIC influencing factors from resource dependence and knowledge management perspectives, with insufficient exploration of the enterprise cognitive dimension.

Smart IoT-driven biosensors for EEG-based driving fatigue detection: A CNN-XGBoost model enhancing healthcare quality.

Introduction: Drowsy driving is a significant contributor to accidents, accounting for 35 to 45% of all crashes. Implementation of an internet of things (IoT) system capable of alerting fatigued drivers has the potential to substantially reduce road fatalities and associated issues. Often referred to as the internet of medical things (IoMT), this system leverages a combination of biosensors, actuators, detectors, cloud-based and edge computing, machine intelligence, and communication networks to deliver reliable performance and enhance quality of life in smart societies.

Research on the impact of green finance on collaborative governance of pollution reduction and carbon reduction.

Collaborative governance of pollution reduction and carbon reduction is an important measure to achieve the goal of "green ecological civilization construction" in China. This paper utilizes the coupling coordination degree model to assess the level of collaborative governance of pollution reduction and carbon reduction, while the entropy method is employed to quantify the green finance development index. Using provincial panel data from 2013 to 2022 in China, this paper initially explores the direct relationship between green finance and collaborative governance of pollution reduction and carbon reduction through a baseline regression model.

Identification of intestinal microbial population structure of supplemented with chitosan oligosaccharide using 2bRAD-M.

Unlabelled: The intestinal microbiota of is critical for its health and disease resistance, but imbalances can increase the risk of infections, especially by pathogenic species. This study used the 2bRAD-M method to analyze the effects of dietary chitosan oligosaccharide (COS) supplementation on the gut microbiota of . Shrimp were fed diets with COS at 5‰ and 10‰ levels.