Experimental investigation and predictive model of entire suction range for undisturbed granite residual soil. [PDF]
Zhang Y, Li L, Hu B.
europepmc +1 more source
Low overall haemosporidian occurrence (3.4%; 13/383). Unexpected high lineage diversity (10 new host–parasite interactions). Novel Leucocytozoon lineage (GYPBAR01) in all European vultures except the griffon vulture. Plasmodium relictum (lineage SGS1) in adult red kites.
Pilar Oliva‐Vidal +5 more
wiley +1 more source
Vacuum-Assisted Microneedle Platforms for Dermal Interstitial Fluid Sampling. [PDF]
Hwang JL +3 more
europepmc +1 more source
Geographic Patterns of Head Morphology in Syngnathus typhle Across Marine Regions
Morphometric analysis of Syngnathus typhle head shape shows distinct geographic patterns across Baltic, North, Atlantic, and Mediterranean marine regions, driven by variation in snout length, head depth, and eye position. Findings provide a non‐invasive baseline for conservation monitoring.
Miriam Ravisato +16 more
wiley +1 more source
Development and validation of an interpretable machine learning model for predicting postoperative fever after flexible ureteroscopic lithotripsy: a single-center retrospective cohort study. [PDF]
Lu X, Yu C, Ding Z, Luo S, Hu X.
europepmc +1 more source
Abstract Purpose To evaluate the evidence of internal structure validity of the nursing outcome (NO) “Mechanical Ventilation Weaning Response: Adult (0412)” of the NOs classification for critically ill COVID‐19 patients. Methods A methodological study focused on internal structural validation, part of a multicenter study, was carried out in the ...
Aline Batista Maurício +8 more
wiley +1 more source
Bio-inspired suction cup microneedle loaded fusion membrane targeting nano-drug delivery system treat androgenetic alopecia. [PDF]
Wang X +12 more
europepmc +1 more source
Abstract Generative AI (GenAI) is increasingly integrated into collaborative inquiry to provide metacognitive prompting that scaffolds socially shared regulation of learning (SSRL). Understanding how such GenAI‐based metacognitive prompting is taken up through student–GenAI interactions is therefore critical. However, although learner–GenAI interaction
Mengke Wang +5 more
wiley +1 more source
Integrating experimental data and machine learning to predict collapse potential of loessic and lacustrine-alluvial soils using suction and SWCC parameters. [PDF]
Tabatabaei AA +3 more
europepmc +1 more source

