Results 121 to 130 of about 69,756 (207)

Early Sepsis Diagnosis as a Global Imperative: The Role of Raman Spectroscopy. [PDF]

open access: yesJ Clin Med
Piccioni A   +9 more
europepmc   +1 more source

Interseismic Creep Along the Enriquillo–Plantain Garden Fault, Haiti, Estimated From InSAR

open access: yesGeophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left‐lateral strike‐slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust‐slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel‐1 interferometric ...
Rishabh Dutta   +2 more
wiley   +1 more source

Metal-ligand covalency of C-H activating iridium complexes from L-edge valence-to-core resonant inelastic X-ray scattering. [PDF]

open access: yesChem Sci
Jay RM   +8 more
europepmc   +1 more source

Wave Mechanics of Ciliary Proteins: Quantum‐Enabled Sensing and Energy Transfer in the “Cellular Antenna”

open access: yesAggregate, Volume 7, Issue 6, June 2026.
This review surveys eukaryotic cilia as putative quantum‐enabled sensory and regulatory centers. It highlights their multifaceted roles in the cell, focuses on the nontrivial roles of quantum mechanics in their membrane and cytoskeletal proteins, and introduces the essential building blocks enabling quantum properties to survive in the warm, wet, and ...
Daniel L. Bilezikian   +5 more
wiley   +1 more source

Hidden in plain heat: anomalous Lorenz number in the thermoelectric alloy Bi<sub>0.4</sub>Sb<sub>1.6</sub>Te<sub>3</sub>. [PDF]

open access: yesNat Commun
Candolfi C   +10 more
europepmc   +1 more source

Machine Learning for Raman Spectroscopy Glioblastoma Classification

open access: yesJournal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT This study presents a comprehensive evaluation of various computational models for glioblastoma cell classification using Raman spectroscopy data. We compare traditional machine learning methods such as support vector machines, boosting and random forests with more modern methods including convolutional neural networks, vision transformers and
Brendan McCane   +6 more
wiley   +1 more source

Auger Parameter Analysis for TiN and AlN Thin Films via Combined In Situ XPS and HAXPES

open access: yesSurface and Interface Analysis, Volume 58, Issue 6, Page 387-399, June 2026.
ABSTRACT Auger parameter analysis provides in‐depth information about electronic and chemical bonding properties of TiN and AlN thin films, which are relevant across a wide range of technologies. Meaningful interpretation and analysis of Auger parameter of these materials have been hindered due to, among other reasons, the absence of reliable ...
O. V. Pshyk   +3 more
wiley   +1 more source

Multi‐Scale Rate‐ and Roughness‐Dependent Frictional Constitutive Law and Dynamic Earthquake Sequence Simulation

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract The physical mechanisms that govern the multi‐scale source properties of earthquakes, such as fracture energy scaling, where the dynamic energy dissipation of earthquakes scales with fault slip, remain debatable. We introduced the rate‐ and roughness‐dependent friction (RRF) law which accounts for the multi‐scale roughness evolution of the ...
Reiju Norisugi, Hiroyuki Noda
wiley   +1 more source

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