Directed Structural Evolution of Nickel Nanoparticles into Atomically Dispersed Sites for Efficient CO Electroreduction.

Electrochemical CO reduction (CORR) to carbon monoxide (CO) offers a sustainable pathway for carbon utilization, yet challenges remain in terms of improving selectivity and activity. Herein, we report a Ni/NC catalyst synthesized via a milling - pyrolysis method, in which Ni particles anchored on nitrogen-doped carbon (NC) are electrochemically activated under an Ar atmosphere, leading to their structural evolution into single-atom Ni sites. After activation in Ar atmosphere, the current density nearly doubles (from ≈30 to ≈60 mA cm), and concurrently, the Faradaic efficiency of CO stays at ∼90% with the potential set to -0.

Wnt Signalling-Activated EN2 Promotes the Progression of Glioblastoma by Upregulating Fatty Acid Synthesis Metabolism.

Glioblastoma (GBM) is the most aggressive primary brain tumour, with limited treatment options and a propensity for rapid development of resistance to therapies. Previous studies have indicated that fatty acid metabolic reprogramming is a critical marker of tumour progression and plays a significant role in the proliferation and migration of cancer cells. However, research on fatty acid synthesis metabolism in GBM is relatively limited, and the underlying mechanisms warrant further investigation.

Exploring the Integration of Anthocyanins with Functional Materials in Smart Food Packaging: From Stabilization to Application.

Anthocyanins, the most ubiquitous water-soluble phytopigments in terrestrial flora, have garnered substantial attention in sustainable food packaging research owing to their exceptional chromatic properties, pH-responsive characteristics, and putative health-promoting effects. Nevertheless, their inherent chemical lability manifests as rapid chromatic fading, structural degradation, and compromised bioactivity/bioavailability, ultimately restricting industrial implementation and incurring significant economic penalties. Recent advances in stabilization technologies through molecular encapsulation within polymeric matrices or nanoscale encapsulation systems have demonstrated remarkable potential for preserving anthocyanin integrity while augmenting multifunctionality.

Application of artificial intelligence in medical imaging for tumor diagnosis and treatment: a comprehensive approach.

This narrative review provides a comprehensive and structured overview of recent advances in the application of artificial intelligence (AI) to medical imaging for tumor diagnosis and treatment. By synthesizing evidence from recent literature and clinical reports, we highlight the capabilities, limitations, and translational potential of AI techniques across key imaging modalities such as CT, MRI, and PET. Deep learning (DL) and radiomics have facilitated automated lesion detection, tumour segmentation, and prognostic assessments, improving early cancer detection across various malignancies, including breast, lung, and prostate cancers.

Enhancing oxygen evolution reaction performance Zn/Fe co-doping in a CoO nanostructure: mechanistic insights and surface reconstruction dynamics.

The kinetics of the oxygen evolution reaction (OER) of CoO in alkaline media can be promoted by a bimetallic co-doping strategy. Herein, we synthesize a Zn/Fe co-doped CoO nanostructure (ZnFe-CoO) to enhance the oxygen evolution reaction performance in alkaline media. The ZnFe-CoO electrocatalyst exhibits a low overpotential of 255 mV at 10 mA cm, a Tafel slope of 54 mV dec in 1.

A New Risk Prediction Tool for Bleeding and Adverse Cardiovascular Events in Patients with Pre-Existing Coronary Stents Undergoing Gastrointestinal Cancer Surgery.

Background: Aged patients with coronary stents facing gastrointestinal cancer surgery are encountered more and more frequently in clinical practice, and such patients are at high risk of both bleeding and ischemia, requiring effective risk assessment. Therefore, this study will establish a prediction tool that can predict both bleeding events and major adverse cardiovascular events (MACEs).

Methods: Multicenter clinical data from 3127 gastrointestinal cancer surgery patients with a history of coronary stent implantation were utilized to establish and validate our prediction tool.

Inflammatory Biomarkers as Prognostic Indicators for Intracranial Aneurysm Recurrence After Stent-Assisted Coil Embolization.

Background: The reappearance of intracranial aneurysms (IAs) after undergoing stent-assisted coil embolization (SACE) is a significant issue in clinical practice. In this study, we analyzed blood regulatory T-cell counts and plasma cytokine levels to assess the extent of systemic inflammation and investigate their potential association with the recurrence of IAs undergoing SACE.

Methods: A total of 189 individuals with 220 unruptured IAs were included in a retrospective study, with participants categorized into groups of occlusion and recurrence according to the Raymond-Roy Scale.

Mechanistic Insights into Vegetable Color Stability: Discoloration Pathways and Emerging Protective Strategies.

During processing and storage, vegetables often experience undesirable color changes, including fading, lightening, or yellowing and softening, due to browning (enzymatic and non-enzymatic) and chlorophyll degradation. These changes diminish commercial and nutritional value. Therefore, it is necessary to maintain vegetable color and improve the quality of vegetable-based dishes.

Early combined conbercept and dexamethasone implant therapy for diabetic macular edema.

Aim: This study evaluated the clinical effectiveness and safety of a combined dexamethasone implant (Ozurdex) with Conbercept injections for diabetic macular edema (DME).

Methods: A prospective case-control clinical trial was conducted on 46 DME patients. Patients were randomly assigned to either the combination group, receiving Conbercept injections followed by Ozurdex (24 patients) using a 2 + 1 + 1 + PRN protocol, or the monotherapy group, receiving only Conbercept injections (22 patients) following a 5 + PRN protocol.

Cinnamon essential oil pickering emulsion-gellan gum composite films: A sustainable active packaging strategy for pork preservation.

This study developed a Gellan gum (G)-based active packaging film incorporating cinnamon essential oil (CEO)-loaded Pickering emulsions stabilized by zein nanoparticles (ZNP) to enhance pork preservation. The ZC3 emulsion exhibited optimal stability with a particle size of 408.9 nm, zeta potential of 37.

Regulating Photocarrier Dynamics via Constructing 1D CdS/2D Semi-Metallic MoReS₃ Schottky Junction Boosts Solar-Driven CO₂ Conversion.

Heterostructure strategy is promising to overcome the dynamic bottleneck for fast photocarrier recombination competing with sluggish surface redox in photocatalytic CO conversion but remains limitations for sacrificing stronger redox ability. The emerging Schottky junction is expected to conquer these problems, but dynamics mechanism remains unclear. Herein, 2D semi-metallic MoReS with Janus structure is adopted to in situ construct 1D/2D heterostructure on CdS nanowires.

Role of GATM/creatine as energy reserves in the poll gland and rutting activities in male Bactrian camel.

In the breeding season, male Bactrian camels (Camelus Bactrianus) secrete a large amount of pale-yellow watery secretions with a characteristic odor from the poll glands and spread urine by wagging their tails, which can induce estrus and mating in female camels. However, the compositions of the urine and poll glands secretions during the breeding season are poorly understood. Thus, we investigated the unique secretions of poll glands and identified key metabolites during the breeding season.

Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network.

Background: Mild cognitive impairment (MCI) is a heterogeneous disorder with significant individual variabilities in clinical and biological features. Abnormal inter-regional structural covariance suggests disruption of the brain structural network in MCI. Most studies have examined group-level structural covariance alterations while ignoring individual-level differences.

Study on individual differences in visual working memory tasks based on spatiotemporal brain functional metrics and biological perspectives.

Visual working memory (VWM) is a critical area of study in cognitive neuroscience, yet the neural and genetic foundations of individual differences in VWM remain unclear. This study investigates individual differences in VWM performance across four types of visual stimuli (Body, Face, Place, Tool) under 0-back and 2-back conditions by integrating gene expression data and spatiotemporal brain function metrics. First, multiple spatiotemporal brain function metrics were extracted, and Sequential Backward Selection (SBS) and Leave-One-Subject-Out Cross-Validation (LOSO-CV) linear regression were applied to predict behavioral performance under VWM conditions.

Genomic characteristics and antibiotic resistance profiles of monophasic Typhimurium in Shaanxi Province, China.

Introduction: Monophasic Typhimurium, characterized by the absence of phase II flagellar antigens, has become increasingly prevalent as a foodborne pathogen, raising significant public health concerns due to its multidrug resistance. This study investigated the genomic characteristics and antibiotic resistance profiles of the monophasic Typhimurium strains isolated from patients and food sources in Shaanxi Province, China.

Methods: A total of 58 strains were collected between 2020 and 2021, with 4 strains isolated from food and 54 from patients.

Overture: an open-source genomics data platform.

Background: Next-generation sequencing has created many new technological challenges in organizing and distributing genomics datasets, which now can routinely reach petabyte scales. Coupled with data-hungry artificial intelligence and machine learning applications, findable, accessible, interoperable, and reusable genomics datasets have never been more valuable. While major archives like the Genomics Data Commons, Sequence Reads Archive, and European Genome-Phenome Archive have improved researchers' ability to share and reuse data, and general-purpose repositories such as Zenodo and Figshare provide valuable platforms for research data publication, the diversity of genomics research precludes any one-size-fits-all approach.

Role of Adiponectin in Regulating Cytokines and Its Contribution to the Occurrence and Progression of Clinical Mastitis in Holstein Cows.

Cytokines are crucial in various physiological and pathological processes, especially in inflammatory diseases in mammals. However, the comprehensive identification of cytokines and their potential regulatory functions in the mammary glands of Holstein cows suffering from clinical mastitis (CM) remains only partially understood. This study aimed to systematically identify biological processes (BPs) and differentially expressed proteins (DEPs) associated with cytokines and to explore their functions through the analysis of previously obtained data from data-independent acquisition (DIA) proteomics.

Review of Recent Advances in Intelligent and Antibacterial Packaging for Meat Quality and Safety.

Intelligent and antimicrobial packaging technologies are transforming meat preservation by enhancing food safety, enabling real-time quality monitoring, and extending shelf life. This review critically examines advancements in intelligent systems, including radio frequency identification (RFID), gas sensors, time-temperature indicators (TTIs), and colorimetric indicators for continuous freshness assessment. A key focus is natural compound-based chromogenic indicators, which establish visual spoilage detection via distinct color transitions.

Deep learning-enabled transformation of anterior segment images to corneal fluorescein staining images for enhanced corneal disease screening.

Corneal diseases present a significant challenge to global health. Given the uneven distribution of ophthalmic resources, the development of a system to facilitate remote diagnosis of corneal diseases is particularly crucial. In this study, we developed an artificial intelligence system named Gancor, based on a large-scale clinical dataset comprising 9669 anterior segment (AS) images and corresponding corneal fluorescein staining (CFS) images from the Affiliated Eye Hospital of Nanchang University, as well as 967 pairs of AS-CFS images captured via smartphone from the Jiangxi Province Division of National Clinical Research Center for Ocular Diseases.

CTNNB1 and CDH1 Regulate Trophoblast Cell Adhesion and Junction Formation in Yak Placental Tissue at Different Gestational Stages.

Yaks (), which are distributed across the Tibetan Plateau and other high-altitude regions, are vital livestock that provide essential resources for local herders and have significant economic and ecological value [...

Identification and Quantification of Multiple Pathogenic Strains Based on a Plasmonic Sensor Array.

Pathogenic () is a widespread and clinically significant foodborne pathogen. Due to its high mutation rates and phenotypic diversity, rapid identification of its subtypes remains challenging and prone to false positives when detecting single strains. In this study, we developed a plasmonic sensor array with high-dimensional signal readouts (ζ-potential, dynamic light-scattering (DLS), surface-enhanced Raman scattering (SERS), and ultraviolet-visible (UV-vis) absorption spectra) for the selective discrimination of pathogenic , integrated with bacterial culture methods.

Two different fabrication method of high-hydrophobic Bi-layer indicators based on sodium alginate-polyvinyl alcohol/chitosan-zein incorporated with alizarin@ZIF-8 for beef freshness visualization.

Intelligent films are essential for real-time monitoring of food spoilage. However, the application is often limited by challenges such as hydrophilicity and color instability. In this study, two high hydrophobic bilayer indicators based on sodium alginate-polyvinyl alcohol/chitosan-zein with alizarin grafted onto ZIF-8 carrier (AL@ZIF-8) were fabricated using the casting method and electrospinning, respectively.

Advances in 3D and 4D Printing of Gel-Based Foods: Mechanisms, Applications, and Future Directions.

This review examines recent advancements in gel-based 3D and 4D food-printing technologies, with a focus on their applications in personalized nutrition and functional foods. It emphasizes the critical role of tunable rheological and mechanical properties in gels such as starch, protein, and Pickering emulsions, which are essential for successful printing. The review further explores 4D food printing, highlighting stimuli-responsive mechanisms, including color changes and deformation induced by external factors like temperature and pH.

Lemon-derived carbon quantum dots incorporated guar gum/sodium alginate films with enhanced the preservability for blanched asparagus active packaging.

Minimally processed fruits and vegetables (MPFVs) experience significant quality degradation during storage due to oxygen exposure, mechanical damage, and microbial contamination, which significantly reduces shelf life and leads to substantial economic waste. This research developed a cost-effective and environmentally active packaging by incorporating carbon quantum dots (CQDs) derived from lemons into guar gum (GG) and sodium alginate (SA) films. The CQDs were integrated into the biopolymer matrix via simple film-casting techniques.