Financial Residency Education and Entertainment (Free): A Cross-Sectional Study of a Prioritized Personal Finance Curriculum for Resident and Fellow Physicians. [PDF]
Huang J, Sexton M, Gallo de Moraes A.
europepmc +1 more source
A Full Physical Strategy for Electrical Contacts on Laser‐Induced Graphene (LIG) Electrodes
A fully dry fabrication strategy combining PVD and dual‐laser processing enables direct integration of laser‐induced graphene with metallic current collectors. Ultralow Au‐LIG contact resistance is achieved without binders, adhesives, or chemical treatments, while preserving electrochemical performance.
Davide Arcoraci +9 more
wiley +1 more source
Efficacy and safety of a single-use cholangioscope for percutaneous transhepatic cholangioscopy
Ivo Boskoski +8 more
doaj +1 more source
Who Talks About Flood Risks and Climate Change Adaptation? Analysis of Social Interactions in Three Countries. [PDF]
Wagenblast T +3 more
europepmc +1 more source
Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç +2 more
wiley +1 more source
Fragile research systems, brain drain, and predatory publishing in under-resourced countries. [PDF]
Jonjić S +7 more
europepmc +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source

