Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation. [PDF]
Soubh N +7 more
europepmc +1 more source
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak +3 more
wiley +1 more source
Randomization across breeding cohorts improves the accuracy of conventional and genomic selection. [PDF]
Ackerman A, Rutkoski J.
europepmc +1 more source
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon +4 more
wiley +1 more source
Patient-Reported Outcomes of Functional Orthodontic Treatment for Skeletal Class II and III Malocclusions in Growing Patients: A Systematic Review. [PDF]
Almrayati DM +5 more
europepmc +1 more source
Weighing Designs and Balanced Incomplete Blocks
openaire +3 more sources
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee +2 more
wiley +1 more source
A dual granular balanced deep forest model for effective drug combination prediction. [PDF]
Gong Z, Li R, Liu K, Xu Y, Bo X, He S.
europepmc +1 more source
Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam +2 more
wiley +1 more source
Enhancing Data Quality and Remote Accessibility in Clinical Trials: A SeroSelectTB Case Study in Ethiopia, Tanzania, and South Africa. [PDF]
Najdov S +9 more
europepmc +1 more source

