Results 191 to 200 of about 3,018,719 (345)
Comparison of therapeutic and diagnostic applications of a surface‐emitting light source with multiwavelength emission characteristics. Abstract Conventional light‐emitting‐diode‐based light sources suffer from rigidity, localized heating, and poor adaptability to skin deformation, limiting their use in skin‐attached medical devices.
In Ho Kim +10 more
wiley +1 more source
Synolitic Graph Neural Networks of High-Dimensional Proteomic Data Enhance Early Detection of Ovarian Cancer. [PDF]
Zaikin A +6 more
europepmc +1 more source
An Interval Graph with Alternate Cliiques of Size 3- Signed Roman Domination
M. Reddappa, C. Jaya, B. Maheswari
openalex +1 more source
A human cell‐based microphysiological system integrates engineered muscle tissues with an inflamed adipose–macrophage niche to model obese microenvironment‐induced muscle dysfunction. Muscle contraction is quantified by pillar deflection coupled with computational stiffness estimation. Secretome and transcriptomic profiling reveal inflammation‐mediated
Seunggyu Kim +16 more
wiley +1 more source
Association between triglyceride glucose-body mass index and long-term adverse outcomes in individuals with heart failure: a retrospective cohort study. [PDF]
Shi Y, Gao C, Xu Y, Yuan F.
europepmc +1 more source
An inequality for the number of vertices with an interval spectrum in edge labelings of regular graphs [PDF]
Narine N. Davtyan, Rafayel R. Kamalian
openalex +1 more source
On Minimal Augmentation of a Graph to Obtain an Interval Graph
T. Ohtsuki +3 more
semanticscholar +1 more source
This study presents a bone‐on‐a‐chip platform incorporating TPMS scaffolds to study geometry‐dependent osteogenesis under dynamic flow. By tuning pore shape and solidity, it precisely controls mechanical cues, revealing how topological features and shear stress affect osteogenic differentiation and matrix formation.
Donggyu Kim +5 more
wiley +1 more source
Unifying graph neural networks causal machine learning and conformal prediction for robust causal inference in rail transport systems. [PDF]
Akçay MT.
europepmc +1 more source

