Mechanically Adaptive Cathode-Electrolyte Interphase via Dynamic Covalent Chemistry for Long-Life Ni-Rich Lithium Batteries.

High-nickel LiNiCoMnO (NCM83) cathodes suffer from interfacial instability resulting from cathode-electrolyte reactions and anisotropic mechanical strain within secondary particles. Herein, we present a mechanically adaptive cathode-electrolyte interphase (CEI) engineered via a dynamic covalent network that features a supramolecular ion-conducting polyurethane ureido-pyrimidinone (SPU-UPy) elastomer. The dynamic network integrates cooperative hydrogen bonds and disulfide bonds and imparts exceptional mechanical resilience and autonomous self-healing capabilities that allow it to accommodate volume fluctuations without compromising structural integrity.

Global, regional and national uterine fibroid burdens from 1990 to 2021 and projections until 2050: results from the GBD study.

Background: Uterine fibroids(UF), while histologically benign, constitute a pervasive yet inequitable epidemiological phenomenon characterized by disproportionately distributed morbidity burdens that correlate asymmetrically with regional development levels, compounded by intersecting socioeconomic determinants and genetic susceptibilities. We aimed to assess the global and regional burden of age-standardized UF in women from 1990 to 2021.

Methods: Age-standardized incidence, prevalence, and years lived with disability (YLDs) rates attributable to UF were obtained from the Global Burden of Disease (GBD) Study 2021.

A fusion ORF3a-E subgenomic RNA involved in SARS-CoV-2 infection efficacy by influencing cellular protein synthesis.

Subgenomic RNAs (sgRNAs) are discontinuous transcription products of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that are involved in viral gene expression and replication, but their exact functions are still being studied. Here, we report the identification of a nested ORF3a-sgRNA, the fusion ORF3a-E-sgRNA, which is involved in the infection process of SARS-CoV-2. This sgRNA encodes both ORF3a and E and can be detected throughout the viral life cycle in SARS-CoV-2-infected cells with high copy numbers.

Understanding nitrogen removal mechanisms of microbial fuel cells with different air-cathodes: pathways and microbial community analysis.

Single-chamber air-cathode microbial fuel cells (SA-MFCs) are an aeration-free, energy-positive technology for nitrogen removal, which is critical for environmental protection. However, existing studies on nitrogen removal mechanisms in SA-MFCs are conflicting, hindering further development. Focusing on removal mechanisms, this study comprehensively investigated three potential nitrogen removal pathways (ammonia volatilisation, electrochemical oxidation and biological conversion) using both conventional hand-made and 3D-printed air cathodes.

Aberrant predictive learning along the positive schizotypy - autistic traits continuum: evidence from ambiguous social information processing.

Deficits in social information processing have been observed in both schizophrenia spectrum disorders (SSD) and autism spectrum disorder (ASD), though the underlying mechanisms may differ. From a predictive coding perspective, such deficits are thought to arise from an overreliance on prior expectations in SSD, whereas individuals with ASD may exhibit difficulties in forming or using such expectations. However, very few studies have investigated the behavioral markers underlying social predictive learning along the ASD-SSD continuum.

A DTI-Radiomics and Clinical Integration Model for Predicting MCI-to-AD Progression Using Corpus Callosum Features.

Introduction: This study aimed to explore the value of diffusion tensor imaging (DTI)- based radiomics in the early diagnosis of Alzheimer's disease (AD) and predicting the progression of mild cognitive impairment (MCI) to AD.

Methods: A cohort of 186 patients with MCI was obtained from the publicly accessible Alzheimer's. Disease Neuroimaging Initiative (ADNI) database, and 49 of these individuals developed AD over a 5-year observation period.

The Expression Pattern of the Splice Variants of Coxsackievirus and Adenovirus Receptor Impacts CV-B3-Induced Encephalitis and Myocarditis in Neonatal Mice.

Coxsackievirus B3 (CV-B3) infection causes inflammatory conditions such as viral myocarditis and meningitis, and incidence rates are rising annually. While children are more likely to be affected by severe manifestations, the molecular basis of this age-dependent susceptibility is poorly understood. In this study, we used young Balb/c mice at three developmental stages (7-, 14-, and 30-day-old mice) to investigate CV-B3 pathogenesis.

Purity and composite petal-like mode laser emission with tunable topological charge from 1 to 35.

In this work, we demonstrate the generation of low-order petal mode beams with tunable topological charge from a laser system utilizing an axicon based annular pump shaping system. By tuning the shape of the pump beam and axially displacing the laser gain crystal, it was possible to generate petal-like vortex beams with variable topological charge ranging from 1 to 35 and with a maximum power of ∼ 3 W. Excellent mode purity is maintained at low pump powers, while at higher pump powers, composite modes comprising the superposition of multiple vortex modes are produced.

Nomogram-based risk stratification to analyze the value of receiving postoperative adjuvant therapy after neoadjuvant immunochemotherapy for patients with locally advanced esophageal squamous carcinoma.

Purpose: To develop a prognosis nomogram for locally advanced esophageal squamous cell carcinoma (LA-ESCC) patients after neoadjuvant immunochemotherapy (NICT) and assess postoperative adjuvant therapy (PAT) value through survival risk stratification.

Methods: We retrospectively analyzed 297 LA-ESCC patients (2019-2023) receiving NICT with or without PAT, randomly divided into the training and validation cohorts. Independent prognostic factors were determined by Least Absolute Shrinkage and Selection Operator (Lasso) regression and multivariate Cox analysis.

One-pot synthesis of ultra-bright water-soluble gold nanoclusters for LAT1-targeted cancer cell imaging.

Gold nanoclusters have emerged as promising fluorescent nanomaterials for biomedical applications due to their special properties such as low toxicity, excellent photostability and biocompatibility. Nevertheless, the disadvantages of low luminescence quantum yield (QY), typically less than 10%, substantially restrict their applications, which still need to be addressed. Herein, we report the fabrication of ultra-bright, water-soluble gold nanoclusters and their application as fluorescent probes for LAT1-targeted cancer cell imaging.

Neurotransmitter-endcapped poly(β-amino estate) for enhanced DNA delivery to the brain through intravenous injection.

While nonviral gene delivery systems have achieved clinical success, targeted delivery remains critical for safety and broader applications of gene therapy. Conventional targeting approaches often compromise efficacy due to synthetic complexity or formulation instability. Hyperbranched poly(β-amino ester)s (HPAEs), as a novel type of gene delivery vector, offer superior functionalization potential via their abundant terminal groups.

Decreased IL-33 in the brain following repetitive mild traumatic brain injury contributes to cognitive impairment by inhibiting microglial phagocytosis.

Background: Repetitive mild traumatic brain injury (rmTBI) is a significant risk factor for neurodegeneration, characterized by pathological protein deposition and persistent neuroinflammation. Research has observed increased interleukin-33 (IL-33) levels in the peripheral blood of patients with rmTBI, suggesting IL-33 may participate in regulating the pathological development of rmTBI. The study aims to elucidate the impact and mechanism of IL-33 in the progression of neuropathology following rmTBI, and to explore its potential as a therapeutic target to improve the neurological outcome.

Spatiotemporal dynamics of dissolved organic matter in Asia's longest river: Linking isotopes, land use, and anthropogenic impacts.

Large river basins integrate the three major ecosystems of atmosphere, land, and oceans, serving as crucial mediators in the global carbon cycle. Nevertheless, pronounced variations occur in geographic locations, climatic conditions, land-use patterns, and anthropogenic activities across sub-catchments of these large basins. As a result, systematic investigations into the spatial heterogeneity of dissolved organic matter (DOM) composition, abundance, and their driving factors are still lacking.

Rapamycin ameliorates intrahepatic inflammation in MASLD by increasing macrophage fatty acid oxidation levels.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common liver disease and a serious threat to public health. Mammalian target of rapamycin (mTOR) plays an important role in the progression of MASLD and can be a potential therapeutic target. Our data show that rapamycin treatment can alleviate MASLD symptoms, including liver inflammation, steatosis and steatohepatitis, in the WD, CDHFD- or MCD-induced MASLD mouse model, but has no significant effect on hepatic fibrosis.

Single-cell analysis unravels the role of NK cells and monocytes in the control of SARS-CoV-2 breakthrough infections in vaccinated individuals.

Analyzing the antiviral response of natural killer (NK) cells and monocytes is essential to understanding vaccine protection in an immunized population facing SARS-CoV-2 variant breakthrough infections (BTIs). In this study, in peripheral blood mononuclear cells (PBMCs) from vaccinated individuals with SARS-CoV-2 infections, we observed an increase in adaptive CD57NKG2C NK cells and classical monocytes (CMs). Single-cell sequencing analysis showed that the transcriptomic profiles of IFN-induced IFIT3 and other IFN-stimulated genes exhibited marked upregulation in NK cells, defined as CD56CD57NKG2CIFIT3 NK cells.

Constructing a predictive model for children with autism spectrum disorder based on whole brain magnetic resonance radiomics: a machine learning study.

Background And Purpose: Autism spectrum disorder (ASD) diagnosis remains challenging and could benefit from objective imaging-based approaches. This study aimed to construct a prediction model using whole-brain imaging radiomics and machine learning to identify children with ASD.

Materials And Methods: We analyzed 223 subjects (120 with ASD) from the ABIDE database, randomly divided into training and test sets (7:3 ratio), and an independent external test set of 87 participants from Georgetown University and University of Miami.

Genomic profiling of a six-generation patrilineal family of the Ming-Qing dynasties in China.

Family cemeteries from historical periods often follow structured burial patterns, but identifying these arrangements is challenging due to limited written records and ambiguities in archaeological interpretation. Archaeogenetics provides a precise means to determine biological kinship, enabling the reconstruction of social relationships and burial customs. Here, we analyzed ancient DNA and contextual data from 34 individuals at Qianweigou, a Ming-Qing dynasty cemetery in Beijing, reconstructing a six-generation patrilineal pedigree.

Transcriptomic investigation reveals a potential mechanism of white LED irradiation inhibiting the growth and pathogenicity of the blue mold pathogen Penicillium expansum.

LED visible light irradiation demonstrates significant potential for suppressing postharvest pathogens, yet the antifungal efficacy and underlying mechanisms of white light spectrum remain poorly understood. This study systematically evaluated the inhibitory effects of two white LED irradiation intensities (40 and 120 μmol m s) against Penicillium expansum through in vitro and in vivo trials, with darkness as the control, while elucidating the mechanistic basis via transcriptomic profiling. In vitro experiments revealed that white LED irradiation effectively suppressed fungal growth and induced substantial disruption of cell membrane integrity.

Enhanced Dual-Pattern Matching with Vision-Language Representation for out-of-Distribution Detection.

Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen distributions. Recent advancements in vision-language models (VLMs), particularly CLIP, have demonstrated promising results in OOD detection through their rich multimodal representations. However, current CLIP-based OOD detection methods predominantly rely on single-modality in-distribution (ID) data (e.

A Quasi Solid-State Hydrogel/InGaN Nanorod Heterostructure-Enabled Amphibious Sensor for Stable and Cross-Medium Optical Sensing and Monitoring.

The wearable optoelectronic systems, often employed with miniaturized and portable photosensors, can be conformably integrated with the human body to promote the advancement of health monitoring and protection. However, developing advanced photosensors with a simple structure that can be sustainable with high sensitivity in different operation conditions, e.g.

The G311E Mutant Gene of MATE Family Protein DTX6 Confers Diquat and Paraquat Resistance in Rice Without Yield or Nutritional Penalties.

Weeds present a pervasive challenge in agricultural fields. The integration of herbicide-resistant crops with chemical weed management offers an effective solution for sustainable weed control while reducing labor inputs, particularly in large-scale intensive farming systems. Consequently, the development of herbicide-resistant cultivars has emerged as an urgent priority.

Sprayable thermosensitive in-situ gels loaded with apoptotic body-integrated nanozymes for improved diabetic wound healing.

Serious vascular dysfunction and recurrent bacterial infection are critical obstacles in diabetic wound healing. Developing novel therapeutic strategies is crucial to address these challenges. Endothelial cell-derived apoptotic bodies (H-Abs), a novel type of extracellular vesicles with anti-inflammation and pro-angiogenesis properties, show great potential for diabetic wound treatment.

The sculpting tool in bioprinting: research and application progress of sacrificial inks.

The core of bio-3D printing technology lies in the development and optimization of bio-inks. For a long time, researchers have been looking for bio-inks that can balance printability and cell function. However, traditional bio-inks often have limitations in meeting this balance, limiting the complexity and scale of printable structures.

Substituting the phenyl with alkynyl in donor unit over donor-acceptor covalent triazine frameworks for superior photosynthesis of hydrogen peroxide.

Covalent organic frameworks (COFs) have been emerged as a kind of promising photocatalysts for the artificial synthesis of HO, but the efficiency is largely limited by the subpar transport of photogenerated carriers and sluggish surface O reduction process. Here, via tuning the functional group of donor monomer from phenyl into alkynyl group, two donor-acceptor (D-A) type covalent triazine frameworks (BT-COF and TT-COF) were synthesized, of which the triazine moiety acted as the principal active center for O reduction. Due to the high-density electrons of alkynyl group, experimental results revealed that the BT-COF catalyst owned the facilitated O adsorption and superior charge transportation, in addition to more negative reduction potential.