Browse Articles

Heat-inactivated Bacillus spores attenuate poly I:C-induced lung inflammation and microbiome alterations through modulation of host immune responses

A universal foundation model for grounded biomedical image interpretation

Optimized rGO/NiCoFe2O4 nanocomposites synthesized via sol–gel auto-combustion for supercapacitor applications

Machine learning guided formulation design of digital light processing printable elastomers beyond viscosity stretchability tradeoff

Effects of non-surgical periodontal therapy on prostate-specific antigen levels and recurrent urinary tract infections: a randomized controlled clinical study

Slab tearing and its surface signals controlled by passive margin strength

Abstract Slab tearing, the lateral detachment of subducting oceanic slab from continental lithosphere, is widely inferred from seismic tomography, yet its surface expressions in mountain belts and adjacent foreland basins remain ambiguous and often contradictory. Existing geodynamic models predict that slab tearing propagates at unrealistically high velocities, implying its transient signatures unlikely to be preserved in surface or stratigraphic records. In contrast, geological observations, such as lateral migration of foreland basin depocenters and systematic basin thickening in the direction of tear propagation, indicate more persistent surface responses, highlighting a long-standing disconnect between models and field evidence. Here we resolve this paradox by showing that lateral variations in passive-margin strength fundamentally control the initiation, propagation, and surface imprint of slab tearing. Using fully coupled three-dimensional thermo-mechanical and surface-process simulations, we demonstrate that accounting for passive-margin heterogeneity significantly slows tear propagation and produces long-lived tectonostratigraphic signatures consistent with natural examples from the Alps, Carpathians, Zagros, and other orogenic belts. These results bridge deep-mantle dynamics and surface geological records, providing a unified framework to identify and interpret slab tearing in orogenic systems worldwide.

Research on glass surface defect detection method based on shadowgraphy imaging and improved YOLOv11n

Abstract Addressing the challenges of observing and detecting defects on ordinary glass surfaces, this paper proposes a defect detection method combining shadowgraphy technology with the YOLO_FSA algorithm. By constructing a glass surface defect image dataset using a shadowgraphy system and adopting YOLOv11n as the base model, the C3k2_FWD module is introduced to achieve efficient lightweight spatial-channel feature extraction and detection of elongated defects.A GSCSA attention mechanism is constructed to enhance perception of faint defect features. ADown convolution replaces traditional downsampling, achieving model lightweighting while maintaining detection accuracy. Experimental results show that the YOLO_FSA algorithm achieves precision, recall, and mAP50 of 74.8%, 80.7%, and 85.5%, respectively. Compared to YOLOv11n, these metrics improved by 8.5%, 6.4%, and 12.6%, respectively. Concurrently, the model parameters were reduced by 31.4% to 1.77 million, and computational complexity decreased by 25.4% to 4.7 GFLOPs, achieving an effective balance between detection performance and computational efficiency.

Persistent Fermi pockets and robust electron pairing in lightly doped CuO2 planes of cuprate superconductors

Co-enrichment of proteins in extracellular vesicles

What’s behind China’s historically high counts of corresponding authors?

Bypassing the VTA: Thalamic modulation of striatal dopamine prioritizes safety

Single-exposure holographic lithography of ultra-high aspect-ratio microstructures

The cumulative impact of passenger mutations on cancer development

This mysterious lung disease affects millions of people — but a drug tested in mice shows promise

Towards real-time additive-free dopamine detection at 10−8 mM with hardware accelerated platform integrated on camera

Publisher Correction: Microbiota-induced T cell plasticity enables immune-mediated tumour control

Human-induced westerly jet shifts coordinate terrestrial productivity at the hemispheric scale

Abstract Previous studies have established how regional climate variability regulates local terrestrial gross primary productivity (GPP), yet the hemispheric-scale spatial organization of GPP, coordinated by large-scale atmospheric circulation, remains poorly understood. Here, using multi-source observations and numerical simulations, we show that anthropogenic shifts in Northern Hemisphere westerlies fundamentally reorganize terrestrial GPP patterns. Around 2000, westerly curvature reversed from a southward to a northward bend over eastern Europe, Northeast Asia, and western North America, while exhibiting opposite changes over central Asia and central North America. Spatial patterns of GPP trends during 1982–2018 closely match GPP responses to westerly curvature variations. Sensitivity analyses using CESM1 large-ensemble simulations and single-forcing experiments identify greenhouse gas forcing as the dominant driver of these changes, thereby reshaping GPP through surface climatic factors. Under the RCP8.5 scenario, continued curvature changes are projected to enhance GPP growth across northern Europe, Northeast Asia, and western North America, while suppressing productivity in southern Europe and central North America. These results reveal anthropogenic forcing influences terrestrial carbon uptake via large-scale atmospheric circulation, with important implications for predicting future carbon–climate feedback.

Science with military applications is cited more than civilian-only research

Molecular glue that stabilizes the LRPPRC−MET-G4 interaction complex to drive MET downregulation

Abstract Targeting the MET oncoprotein is an effective strategy in precision cancer therapy, whereas its clinical efficacy varies dramatically across tumor types. Herein, we explore an alternative approach to downregulate MET at the transcriptional level. We identify a cis-regulatory element in the MET proximal promoter that forms a stable parallel G-quadruplex ( MET -G4). We determine the high-resolution NMR solution structure of this MET -G4 and demonstrate that MET -G4 recruits LRPPRC to promote MET transcription, uncovering a previously unrecognized epigenetic mechanism that drives MET overexpression. We further characterize LRPPRC’s G4-binding domain and its structural basis for MET -G4 recognition. Through screening an in-house natural product library, we identify nitidine (NIT) as a MET -G4 stabilizer that acts as a molecular glue, strengthening the LRPPRC– MET -G4 interaction and inducing the formation of a stable LRPPRC−NIT− MET -G4 ternary complex. This complex likely alters the structure and function of LRPPRC, thereby downregulating MET expression and exerting the well-known anticancer effects of nitidine. Moreover, comprehensive in vitro and in vivo experiments demonstrate that nitidine significantly inhibits tumor progression through an LRPPRC− MET- G4-dependent mechanism. Collectively, our study suggests an epigenetic regulatory mechanism involving LRPPRC− MET- G4-mediated MET upregulation and provides a promising therapeutic strategy for MET -driven tumors using molecular glues that target the LRPPRC− MET -G4 interface.

Daily briefing: Lung microbiome linked to a mysterious tissue-scarring condition