Self-Medicating Molten-Salt Synthesis of Bulk-Stabilized High-Energy Cathodes for Li-Ion Batteries.

High-energy lithium-ion batteries necessitate stable Ni-rich layered cathodes, yet critical challenges such as lattice distortion and surface structure collapse remain unresolved. While conventional high-valence doping greatly alleviates surface degradations, it is ineffective in stabilizing bulk lattice due to dopant segregation. Here, we propose a slightly Li-rich (SLR) lattice design by partially substituting transition-metal (TM) ions with Li ions in TM layers, reducing electrostatic repulsion against high-valence dopants.

Enhanced Thermal Transport in Aramid Composite Films via Intrinsic Interfacial Interaction and Synergistic Orientation.

The heat dissipation of high-power chips places higher demands on the thermal conductivity () of polymer-based thermal interface materials (TIMs) to ensure the stable operation of the chips. However, the interfacial thermal resistance (ITR) greatly restricts further improvement. Herein, 1D multiwalled carbon nanotubes modified with carboxyl (CNTs-) were introduced to the aramid matrix via blade coating, and a strategy of the intrinsic interfacial interaction and synergistic orientation was ingeniously adopted to enhance thermal transport.

Predictive performance of distinct skeletal muscle index cut-offs-defined sarcopenia for long-term mortality in decompensated cirrhosis: A prospective observational study.

Purpose: Although the clinical implication of sarcopenia has been verified in the context of cirrhosis, there is limited data concerning cut-offs of CT-measured skeletal muscle index (SMI) across different ethnicities. We aimed to compare the predictive performance of distinct SMI values-defined sarcopenia for prognosis in cirrhosis.

Methods: Totally, 478 inpatients due to cirrhosis-associated acute insults were prospectively enrolled.

Proteomics identifies critical hemolymph proteins for extreme temperature adaptation in Hyalomma asiaticum.

Hyalomma asiaticum can survive in extreme environments including the semi-arid zones and deserts. Investigating the molecular mechanisms of the tolerance of ticks to extreme temperatures could help tick control by interfering with their temperature tolerance. A comprehensive analysis of the regulatory mechanisms of proteins in the hemolymph is essential to unraveling the survival strategies of ticks in harsh environments.

Correction: Characteristics and correlations of sleep disorders in patients with relapsing-remitting multiple sclerosis in China: a cross-sectional study.

[This corrects the article DOI: 10.3389/fneur.2025.

Dual-pathological cascade delivery of apoptotic vesicles for targeted therapy in intervertebral disc degeneration.

Achieving effective drug delivery and therapeutic efficacy poses significant challenges in intervertebral disc degeneration (IDD). Here, we developed a dual-pathological cascade delivery system utilizing therapeutic mesenchymal stem cell-derived apoptotic vesicles (ApoVs). These vesicles are engineered with MMP13-responsive cell-penetrating peptides (MR-ApoVs) for targeted modulation of senescence.

Perceptions and Experiences of Dementia-Friendly Education Among Youth in Macao: A Qualitative Study.

BackgroundAs dementia emerges as a critical global health challenge, youth engagement is pivotal for building dementia-friendly communities. However, culturally sensitive dementia education models for Chinese youths remain underdeveloped. This study aims to explore the perceptions and experiences of a hybrid dementia education program among Macao youths.

Heritable Knock-on Consequences of Transient Heterozygous Chromosomal Translocation on Phenotype, Transcriptome, and Metabolome in a Synthetic Hexaploid Wheat.

Newly formed polyploidy is intrinsically associated with compromised meiosis stability, resulting in structural chromosomal variations (SCVs). However, not all SCVs that occurred in nascent polyploidy are retained in evolved polyploid species. Here, we investigated whether the otherwise 'ephemeral SCVs' may have transgenerational impacts by using a complete cohort of plant samples of a synthetic hexaploid wheat, which contains occurred unidirectional and reciprocal heterozygous translocations, three successive generations of revertant euploidy progenies descended from the translocations, and wild-type euploidy.

Linking sulfur metabolism to biological nitrogen removal for sustainable wastewater treatment: Microbial synergy perspectives.

Sulfur-mediated coupled nitrogen removal offers an efficient and sustainable approach for wastewater treatment, but its practical application is challenged by complex microbial coupled mechanisms. This review analyzes the recent advances in sulfur-mediated nitrogen removal processes, with emphasis on microbial synergy, from theoretical microbial interactions to systematic coupling dynamics perspectives. First, we reveal the proactivity of microbially mediated nitrogen-sulfur co-metabolism.

A Deep Learning-Augmented Density Functional Framework for Reaction Modeling with Chemical Accuracy.

Accurate prediction of reaction energetics remains a fundamental challenge in computational chemistry, as conventional density functional theory (DFT) often fails to reconcile high accuracy with computational efficiency. Here, we introduce Deep post-Hartree-Fock (DeePHF), a machine learning framework that integrates neural networks with quantum mechanical descriptors to achieve CCSD-(T)-level precision while retaining the efficiency of DFT to solve the reaction problems. By establishing a direct mapping between the eigenvalues of local density matrices and high-level correlation energies, DeePHF circumvents the traditional accuracy-scalability tradeoff.

Enhancement of Menaquinone-7 production in Bacillus subtilis by optimizing the medium components through response surface methodology.

Menaquinone-7, a form of vitamin K, plays a critical role in the treatment of hemorrhagic diseases caused by vitamin K deficiency and in the prevention of bone fractures. Microbial fermentation has emerged as a promising method for MK-7 production due to its high product optical purity and significant physiological activity. However, the current production efficiency of MK-7 remains insufficient to meet industrial demands.

Development and Characterization of a Murine Lung Adenocarcinoma Cell Line With High Thoracic Pleural Metastatic Potential.

Background/aim: Pleural metastasis and malignant pleural effusion (MPE) are common complications of lung adenocarcinoma. Patients with MPE have poor outcomes, with overall survival ranging from 5 to 11.4 months.

Aptamer-CRISPR/Cas12a-Based Lateral Flow Technique for Visualized Rapid Detection of Endogenous Damage Factor Neu5Gc in Red Meat.

The N-glycolylneuraminic acid (Neu5Gc), a major salivary acid molecule found on the cell surface of animals such as pigs, cows, and sheep, can be metabolically incorporated into the body through consumption of animal-derived foods like red meat. This leads to an immune response and chronic inflammation in individuals who do not naturally produce Neu5Gc, including humans and poultry, further increasing the risk of cancer. The trans-cleavage activity of Cas12a is activated by the recognition of the target aptamer by the crRNA, resulting in the cleavage of the dual-labeled probe.

An Integrated Approach Using GA-XGBoost and GMM-RegGAN for Marine Corrosion Prediction Under Small Sample Size.

Corrosion is the predominant failure mechanism in marine steel, and accurate corrosion prediction is essential for effective maintenance and protection strategies. However, the limited availability of corrosion datasets poses significant challenges to the accuracy and generalization of prediction models. This study introduces a novel integrated model designed for predicting marine corrosion under small sample sizes.

The application of KI.C57-ras2.0 mouse in the carcinogenicity evaluation of medical devices-carcinogenicity evaluation of a novel hemodialyzer.

Introduction: Alternative transgenic mouse models, such as rasH2, have been developed as to replace the traditional 2-year rodent carcinogenicity study. However, due to high cost, reliance on imports, and unpredictable supply chains, these transgenic mouse models have not yet been widely adopted for carcinogenicity evaluations of medical devices in China.

Methods: KI.

A scientometric analysis of music therapy in pediatrics settings globally: Research trends, collaboration networks, and emerging topics (2000-2024).

Music therapy (MT) has emerged as an effective non-pharmacological intervention for enhancing emotional regulation, social communication, and neurocognitive function in children. This study provides the first comprehensive scientometric analysis of global MT research trends in pediatric settings. Analyzing 1,383 publications from Web of Science, we employed co-citation networks, keyword clustering, and burst detection to: 1) map international collaboration networks, 2) track thematic evolution, and 3) identify emerging frontiers.

Interactions of Fe, Mn, Zn, and Cd in Soil-Rice Systems: Implications for Reducing Cd Accumulation in Rice.

Cadmium (Cd) contamination in rice ( L.) poses serious health risks for human, necessitating effective mitigation strategies. This study investigated the effects of Cd stress on iron (Fe), manganese (Mn), zinc (Zn), and Cd accumulation and translocation in rice varieties with high (MY46) or low (ZS97B) Cd accumulation capacities grown in acidic and alkaline soils.

Ultrasound-Responsive Drug Delivery System for Cancer Therapy.

Ultrasound-responsive drug delivery systems have emerged as a promising approach in cancer therapy, offering enhanced targeting precision, controlled drug release, and reduced systemic toxicity. These systems utilize the mechanical and thermal effects of ultrasound to enable the spatiotemporally triggered release of therapeutic payloads in tumor sites. This review provides an overview of the key mechanisms underlying ultrasound-responsive drug delivery, including the activation of sonosensitizers and prodrugs, as well as the role of ultrasound-responsive nanocarriers such as liposomes, micelles, nanobubbles, and metal-organic frameworks.

Topological prethermal strong zero modes on superconducting processors.

Symmetry-protected topological phases cannot be described by any local order parameter and are beyond the conventional symmetry-breaking model. They are characterized by topological boundary modes that remain stable under symmetry respecting perturbations. In clean, gapped systems without disorder, the stability of these edge modes is restricted to the zero-temperature manifold; at finite temperatures, interactions with mobile thermal excitations lead to their decay.

Ab Initio Accuracy Neural Network Potential for Drug-Like Molecules.

The advent of machine learning (ML) in computational chemistry heralds a transformative approach to one of the quintessential challenges in computer-aided drug design (CADD): the accurate and cost-effective calculation of atomic interactions. By leveraging a neural network (NN) potential, we address this balance and push the boundaries of the NN potential's representational capacity. Our work details the development of a robust general-purpose NN potential, architected on the framework of DPA-2, a deep learning potential with attention, which demonstrates remarkable fidelity in replicating the interatomic potential energy surface for drug-like molecules comprising 8 critical chemical elements: H, C, N, O, F, S, Cl, and P.

Chinese expert consensus on imaging examination and diagnosis of nasal cavity and paranasal sinus tumors.

The complex anatomy and diverse tissue composition of the nasal cavity and paranasal sinuses contribute to a wide variety of tumor pathologies in this region, posing significant diagnostic challenges in clinical practice. Evaluation with computed tomography (CT) and magnetic resonance imaging (MRI) is critical for the diagnosis and management of patients with sinonasal tumors. Radiologists should be proficient in the indications and contraindications for CT and MRI examinations of sinonasal tumors, along with standardized scanning protocols and image quality control requirements.

Microbiome and metabolome changes in laying hens induced by dietary epsilon-polylysine.

Epsilon-polylysine (ε-PL) is a natural antimicrobial peptide that has been broadly applied in the food industry as a preservative. The effects of ε-PL on the intestinal microbiota, animal metabolism, and its potential as a "new feed additive" require further exploration. In this study, ninety Hy-Line Brown laying hens were randomly divided into three groups.

METTL1/WDR4-mediated m7G Hypermethylation of SCLT1 mRNA Promotes Gefitinib Resistance in NSCLC.

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have produced durable complete responses, but the eventual development of acquired resistance presents a major challenge in the treatment of non-small cell lung cancer (NSCLC). N7-methylguanosine (m7G), a prevalent post-transcriptional modification within RNA, plays regulatory roles in RNA stability, expression dynamics, and functional diversity. Despite these insights, the contribution of m7G methylation to EGFR-TKIs resistance remains poorly characterized.

Circadian rhythms and their roles in the pathogenesis and treatment of depression.

Major depressive disorder (MDD) affects people all over the world, and yet, its etiology is complex and remains incompletely understood. In this review, we aim to assess recent advances in understanding depression and its regulation, as well as its interaction with circadian rhythms. Circadian rhythms are internalized representations of the periodic daily light and dark cycles.

Brain-Inspired In-Memory Data Pruning and Computing with TaO Mem-Selectors.

The selective attention mechanisms inherent in the human visual system provide a promising framework for developing edge systems that can simultaneously prune and process critical information from visual input. However, conventional complementary metal-oxide-semiconductor-based edge vision systems rely on complex digital logic for data pruning, alongside the physical separation of pruning, memory, and processing. This increases both power consumption and latency.