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DNA-Based FRET Nanoscopy Reveals Rapid CD45 Exclusion from Raft-like Domains upon T-Cell Receptor Signaling

Mitigating salinity stress in Moringa oleifera through seaweed-derived biostimulants

Free-form thermal cloaks in three dimensions

14.1 T Liquid-State ¹⁹ F Overhauser Dynamic Nuclear Polarization in an Analytical Organic Setting

A gearbox fault diagnosis method based on Vision Transformer-BiGRU parallel network

Revisiting necessity of high-entropy electrocatalysts

Quaternary Carbons from Amines and Acids

Effects of antenatal depression on adverse birth outcomes among women attending antenatal care at Jimma University Medical Center, Ethiopia: a prospective cohort study

Structural and mechanistic insights into the constitutive Themis–Grb2 complex in T cell signalling

Deposition of an Addressable Molecular Spin Qubit with Built-In Decoupling Structure

Arbuscular mycorrhizal fungi modulate the adaptation of aeluropus lagopoides in hypersaline environments

Electrosynthesis of 1,1-Bis(difluoromethyl)alkenes via Twofold C−H Difluoromethylation as Bioisosteres of Elusive 1,1-Enediols

Asymmetric Radical Allylic Cyanation of Electron-Deficient Alkenes with a Low Copper Catalyst Loading: Development and Mechanism

Uncertain tourist expressions and data-driven perceived destination image construction: a probabilistic linguistic and multi-criteria decision framework

Abstract Understanding how tourists mentally construct destination images from online information has become increasingly important, yet the textual expressions produced by tourists in online reviews often contain vague, uncertain, and multi-interpretable meanings. This study develops an integrated analytical framework to capture and utilize such ambiguity for destination image construction and recommendation. First, probabilistic linguistic term sets (PLTSs) are employed to formally model the uncertain and fuzzy components embedded in tourists’ online expressions, enabling a more fine-grained representation of perceived image attributes. Then, latent Dirichlet allocation (LDA) and sentiment analysis are applied to large-scale online reviews to identify thematic structures and emotional orientations underlying tourist discourse. By synthesizing probabilistic linguistic evaluations with extracted topics and sentiments, a multidimensional destination image is constructed that reflects both the semantic diversity and evaluative uncertainty of user-generated content. To transform these insights into decision support, the study further integrates PL-entropy weighting with the PL-MACBETH multi-criteria decision-making approach to generate rational and explainable destination recommendations. A real-world case study verifies the model’s effectiveness, demonstrating that the PLTS-based representation significantly improves the interpretation of perceived relevance and importance, and the proposed recommendation mechanism yields consistent and robust decision outcomes. The findings contribute to both tourism research and practice by offering a methodological pathway to better leverage ambiguous online expressions in destination evaluation and recommendation.

Multivalent nanobodies for potent and broad neutralization of Staphylococcus aureus toxins

Electron and Nuclear Spin Dynamics of a Dysprosium Complex in Solution

The essential chaperone DNAJC17 activates HSP70 to coordinate RNA splicing and G2-M progression

Abstract Molecular chaperones including the heat-shock protein 70-kilodalton (HSP70) family and the J-domain containing protein (JDP) co-chaperones maintain homeostatic balance in eukaryotic cells through regulation of the proteome. The expansive JDP family helps direct specific HSP70 functions, yet loss of single JDP-encoding genes is widely tolerated by mammalian cells, suggesting a high degree of redundancy. By contrast, essential JDPs might carry out HSP70-independent functions or fill cell-context dependent, highly specialized roles within the proteostasis network. Using a genetic screen of JDPs in human cancer cell lines, we found the RNA recognition motif (RRM) containing DNAJC17 to be pan-essential and investigated the contribution of its structural domains to biochemical and cellular function. We found that the RRM exerts an auto-inhibitory effect on the ability of DNAJC17 to allosterically activate ATP hydrolysis by HSP70. The J-domain, but neither the RRM nor a distal C-terminal alpha helix are required to rescue cell viability after loss of endogenous DNAJC17 . Knockdown of DNAJC17 leads to relatively few conserved changes in the abundance of individual mRNAs, but instead deranges gene expression through exon skipping, primarily of genes involved in cell cycle progression. Concordant with cell viability experiments, the C-terminal portions of DNAJC17 are dispensable for restoring splicing and G2-M progression. Overall, our findings identify essential cellular JDPs and suggest that diversification in JDP structure extends the HSP70-JDP system to control divergent processes such as RNA splicing. Future investigations into the structural basis for auto-inhibition of the DNAJC17 J-domain and the molecular regulation of splicing by these components may provide insights on how conserved biochemical mechanisms can be programmed to fill unique, non-redundant cellular roles and broaden the scope of the proteostasis network.

Photo-protective iodine chelate enables stable perovskite solar cells under reverse bias

Revisiting Catalyst Restructuring in CO ₂ Reduction: The Dominant Yet Overlooked Role of Hydrogen

Study on the driving mechanisms of land use change on water yield and carbon storage based on the InVEST-PLUS-GeoDetector model

Abstract Under the dual pressures of global climate change and intensive human activities, the degradation of ecosystem services has become a critical challenge for regional sustainable development. This study aims to investigate the spatiotemporal evolution and driving mechanisms of water yield and carbon storage in the middle reaches of the Yellow River. By integrating the land use transfer matrix, InVEST, PLUS, GeoDetector, and spatial autocorrelation analysis, we assessed the impacts of land use change on water yield and carbon storage from 1985 to 2023. The results indicate that cropland area declined by approximately 15%, while construction land expanded rapidly during the study period, intensifying land use conflicts. Water yield exhibited a pronounced fluctuation–recovery pattern, with a sharp decline of nearly 70% in the early stage followed by a gradual recovery in recent years, reflecting the combined influence of climate variability and human activities. In contrast, carbon storage showed a steady increasing trend associated with vegetation restoration, rising by about 2% over the study period. Driving factor analysis revealed that interactions between vegetation conditions (NDVI) and human activity indicators played a dominant role in shaping ecosystem service dynamics (q > 0.85). A clear trade-off relationship was observed between water yield and carbon storage, indicating the tension between vegetation restoration and regional water availability. Based on these results, this study recommends implementing zonal management strategies, strengthening vegetation restoration in ecologically fragile areas, and optimizing land use structures in urban expansion zones to promote the coordinated enhancement of ecosystem services, thereby ensuring ecological protection and high-quality development in the Yellow River Basin.