A new clinical trial found that a polyphenol-rich diet reduced pro-inflammatory markers and increased beneficial bacteria in older adults. The study suggests that this dietary approach can support healthy aging and may be tailored to individual needs based on inflammatory and microbial profiles.
Researchers develop a new multivariate basic function secret sharing scheme that enhances communication cost and computation efficiency using oblivious transfer. The scheme reduces key size from O(λn^2) to O(λn), enabling faster computations.
The scLT-kit toolkit offers automated processing and analysis of single-cell lineage tracing data. It characterizes cell dynamics and dissecting mechanisms underlying cell fate decisions. The toolkit has been applied to various real datasets to demonstrate its robustness and effectiveness in understanding biological processes.
A new dataset, TripletDGC, reveals the association between disease genes and diseases by characterizing specific cell types. The study highlights critical cell types linked to disease mechanisms, providing deeper insights into molecular basis of diseases.
Researchers developed a novel training technique called Decreasing Precision with layer Capacity, reducing training costs while increasing model accuracy. The method achieves a win-win in efficiency and optimization performance.
Researchers propose a common knowledge learning method to improve adversarial transferability by reducing model-specific features and promoting output consistency. The proposed multi-teacher approach achieves significantly better attack success rates than existing methods.
The E2CNN model resolves overlapping relations by employing a cascaded neural network and incorporates entity type information. It achieves this by first identifying entities and their types, then predicting subject positions and extracting objects corresponding to the subjects under predefined relations.
The researchers proposed CAD-NeRF, a method that reconstructs 3D scenes from fewer than 10 images without known camera poses. It uses a mini library of CAD models to retrieve a similar shape and guide density supervision and pose initialization. Comprehensive evaluations demonstrate strong generalization capabilities.
A new benchmark graph generator, BG^2VN, was developed to standardize the evaluation of vital node identification algorithms. It generates graphs with known ground-truth vital nodes, allowing for adjustments to heterogeneity and aggregation based on user requirements.
A novel electrode was fabricated by decorating conductive carbon black with tetrabutylammonium tetrafluoroborate, resulting in a highly sensitive electrochemical sensor for detecting cefadroxil. The sensor exhibits excellent linear response and remarkably low detection limit of 0.2 μmol/L.
The study introduces CELLM, a specialized open-source LLM for Chinese educational applications. It addresses the lack of transparency in training processes and scarcity of high-quality datasets by providing a fully transparent training pipeline with domain-specific pretraining corpus and multi-turn dialogue translation framework.
Researchers developed an intelligent identification method to accurately detect foreign fibers in Xinjiang long-staple cotton. The PCA-AlexNet model outperformed traditional methods with high accuracy rates, exceeding 85% foreign fiber removal rate.
A six-month randomized controlled trial found that a single post-meal biomarker, SPARC-1H, predicts who will benefit most from adopting a Mediterranean diet. Individuals with lower baseline SPARC levels experienced greater improvements in insulin resistance and glucose metabolism after six months of dietary adherence.
Researchers found that tumor cells with lost GPX4 adapt metabolically to escape ferroptosis, reprogram triacylglycerol metabolism, and impair CD8+ T cell function. Inhibition of triacylglycerol synthesis sensitizes tumor cells to ferroptosis, restoring CD8+ T cell function.
A novel heterostructure composite enhances charge separation and polarization relaxation via dual built-in electric fields, achieving minimum reflection loss of –51.5 dB with minimal thickness of 2.8 mm.
A novel self-charging power supply system integrates triboelectric nanogenerators (TENGs) and micro supercapacitors (MSCs) with an MXene-coated fabric conductive layer, enabling stable operation and efficient energy harvesting. The system can charge MSC arrays to 1.6 V, powering devices for up to 25 seconds with high charging efficiency.
Research reveals that Tibetan pigs have a higher proportion of mature adipocytes and faster differentiation into fat-storing cells, allowing for efficient fat deposition. In contrast, Duroc pigs have stronger cell proliferation and energy metabolism, but lower metabolic activity and oxygen consumption.
A new fault diagnosis system for puffing machines was proposed, combining multi-source information fusion technology to capture local and global features. The system achieved an overall accuracy of 99.4% on the test set, outperforming traditional models.
Research reveals that pleural cavity macrophages support lung tumor growth by suppressing anti-tumor immunity. Macrophage depletion leads to increased cytotoxic CD8 T cells, establishing their role as key drivers of tumor progression.
Researchers improved sodium-ion battery performance by coating Na3V2(PO4)3 with Nb2O5. The coating enhanced capacity, rate performance and cycling life, maintaining 97% capacity after 300 cycles.
Researchers developed a novel catalyst from waste medical masks, degrading 39.88% of PET in seawater, with improved efficiency over existing methods. The catalyst's stability and potential use as degradation products make it a promising solution for microplastic pollution.
This study introduces a novel approach to accelerate electron migration in g-C3N4 by anchoring atomically dispersed W species via covalent bonds. The resulting platform demonstrates high selectivity against common interferents and enables self-powered detection of copper ions with a broad detection range.
Researchers developed a water-soluble phosphorescent carbon nanodot ink for high-resolution invisible printing, achieving resolutions of up to 2480×3508 dpi. The ink can accurately reproduce complex text patterns on various substrates with an accuracy of over 98.7%.
Researchers engineered human-derived transcriptional activators that surpass viral benchmarks like VPR, offering compact and efficient CRISPR tools for precise gene activation. Combinations of hTADs showed improved efficacy and reduced immunogenicity risk.
Researchers identified and characterized the RibD-enolase complex in Francisella novicida, revealing key interactions and catalytic activities. The study provides the first structural and biochemical characterization of the complex, establishing a foundation for further investigations into its functional significance.
Researchers have developed a transgene-free approach to construct mouse post-implantation embryo models, utilizing extended pluripotent stem cells. These models recapitulate key features of post-implantation development, including gastrulation and extraembryonic tissue formation.
A comprehensive single-cell atlas of endocrine aging was established, revealing both shared and organ-specific aging mechanisms. The study suggests that immune-endocrine interactions are a key node for potential interventions, and future studies may uncover the role of aged endocrine organs in systemic aging.
Research reveals that miR-378 acts as a metabolic-state-dependent switch controlling liver autophagy and lipid balance. Under short-term fasting, miR-378 promotes lipid clearance by suppressing its target gene MAFG, while during prolonged fasting or high-fat feeding, it increases bile acid synthesis leading to fat accumulation.
Researchers developed a fully coupled optical, electrical and thermal-fluid model for a parabolic-trough CPV-T collector with spectral-splitting liquid filters. The design achieved high-performance solar thermal energy generation, reaching maximum thermal efficiency of 45% and electrical efficiency of 15%.
Researchers developed a metal phthalocyanine compound to modify the magnesium metal surface, reducing charge transfer barriers and promoting uniform ion transport. This work provides new insights into interface design for other metal-based batteries.
A new modeling framework elucidates how antigen heterogeneity, immune selection, and chemotherapy jointly determine tumor evolution and therapeutic outcomes. Chemotherapy reduces antigen heterogeneity, improving the immune microenvironment and enhancing overall treatment efficacy.
This review analyzes multi-physics phenomena in metal additive manufacturing, leveraging machine learning to optimize quality attributes like defect suppression and geometric fidelity. Machine learning-driven real-time closed-loop control is also explored for full-process regulation.
The proposed 'observation-cognition-interpretation' pipeline matches or surpasses deep baselines with minimal samples per learner, providing actionable feedback and laying groundwork for open-ended problems and multimodal coursework. Expert raters deem its explanations substantially credible.
Researchers identified key dopants to improve structural stability and ion transport in Na2FeSiO4, a promising cathode material for sodium-ion batteries. The study's findings provide a roadmap for developing high-performance, low-cost sodium-ion batteries that can compete with lithium-ion technology.
This article proposes a comprehensive framework for preparing students for an AI-driven world through tiered courses, active learning, and dynamic curriculum update mechanisms. The study emphasizes institutions' need to adopt proactive measures to harness GenAI's potential for equitable education.
The UK's digital education policy has shifted from basic initiatives to AI-focused education, emphasizing integration, personalized learning, and digital literacy. The study highlights key trends, including comprehensive technology integration and bridging the digital divide.
Scientists develop AMOUR method for accurate profiling of surface RNAs and Intact-Surface-FISH for visualization and quantification of representative surface RNAs. The study reveals a rich repertoire of noncoding RNAs on human and murine blood cells, with potential contributions to autoimmunity.
Researchers are utilizing metal-organic frameworks to deliver targeted therapies with improved efficiency and precision. These 'smart' cargo systems can be designed to open up and release drugs in response to specific disease triggers.
The system integrates fine-tuned LLMs and advanced computer vision/audio synthesis to create personalized digital instructors. It improves student engagement and learning outcomes, outperforming traditional methods.
Research reveals that stunting rates among children in Tanzania's BBRs are significantly higher than non-BBRs. Despite increased food production, there is no significant improvement in child growth status, suggesting a correlation between agricultural commercialization and monotonous diets.
This study refines the external influencing factors of technology, organization, and environment on BIM adoption using the TOE framework. The findings highlight key factors such as technical compatibility, organizational culture, and mimetic pressure in promoting BIM adoption.
This study identified key challenges in government-led food supply chains during the pandemic, including transportation disruptions and production-demand mismatches. Effective recovery strategies include enhancing transportation capacity, establishing new district warehouses, and increasing production capacity.
This study aims to visualize blockchain-based data management processes in construction projects to gain trust in the system. The research identifies current patterns and challenges of DMP visualization on blockchain systems and develops guidelines for visualizing these processes according to construction project needs.
The proposed approach leverages AI to create intelligent, personalized learning platforms that facilitate the synergistic development of IP knowledge and ideological-political values. This integration improves teaching quality, cultivates students' legal awareness, innovation capacity, social responsibility, and practical skills.
Researchers discovered that docosahexaenoic acid (DHA) plays a crucial role in heart regeneration by triggering specific genes involved in the process. Injection of DHA improves cardiac function in adult mice after myocardial infarction, while also facilitating cardiomyocyte proliferation and inhibiting fibrosis and inflammation.
Researchers engineered midnolin for targeted protein degradation using cryo-EM structures and developed chimeras for non-native high-profile targets. This study provides a paradigm-shifting solution to challenges in targeted protein degradation approaches.
Students taught with virtual 3D scans showed greater confidence and comparable improvement in examination scores compared to those using physical prosections. Virtual technology proved valuable for preparation but lacked the hands-on experience of actual dissection.
A recent study reveals that loss of liver growth hormone (GH) signaling contributes to the development of lean metabolic-associated fatty liver disease. The researchers developed a mouse model with hepatic GH receptor knockout and found that CD36-mediated lipid uptake and C/EBPβ-driven lipogenesis form a central regulatory hub driving ...
Researchers developed a novel tree-like nitrogen-doped carbon support structure that boosts efficiency and lifespan of low-platinum fuel cells. The T-NC support maintains platinum dispersion at high loadings and shows exceptional corrosion resistance, making it compatible with various catalysts.
Researchers found that traditional protocols isolate platelet contaminants, whereas optimized protocol yields uniform, cell-derived microvesicles. These findings redefine long-standing assumptions and establish a new foundation for accurately interpreting microvesicle functions.