Results 261 to 270 of about 2,741,379 (327)
This study demonstrates a self‐aligned passivation approach for grain boundaries on ZrO2 surfaces using area‐selective atomic layer deposition (AS‐ALD). Selective deposition of Al2O3 onto ZrO2 grain boundaries effectively enhances dielectric performance while tackling leakage pathways.
Min‐Jeong Rhee+5 more
wiley +1 more source
Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data. [PDF]
Silveira JA, da Silva AR, de Lima MZT.
europepmc +1 more source
Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation
Detecting internal abnormalities in soft matter remains challenging due to its heterogeneous nature. This study introduces a method that infers hidden physical properties by matching observed deformation with simulation through parallel Bayesian optimization.
Huanyu Yang+9 more
wiley +1 more source
AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis. [PDF]
Alum EU.
europepmc +1 more source
DNA–Protein Binding is Dominated by Short Anchoring Elements
This study delineate the binding mechanism of transcription factors (TFs) in the genome with the knowledge obtained at thermodynamic equilibrium conditions. Through KaScape experiments, combined with the AEEscape algorithm development, they identified the minimal dominant interacting elements, termed as Anchoring Elements (AEs).
Hong Chen+3 more
wiley +1 more source
Clustering uncertain overlapping symptoms of multiple diseases in clinical diagnosis. [PDF]
Wagan AA, Talpur S, Narejo S.
europepmc +1 more source
This work shows combining high‐throughput experiments of metal 3D printing with data science‐driven prediction leads to faster alloy development. Researchers develop steel alloy specimens specifically for 3D printing by adjusting aluminum content (0–10 wt.%) and energy input during printing.
Avinash Hariharan+7 more
wiley +1 more source
Predicting COPD Readmission: An Intelligent Clinical Decision Support System. [PDF]
López-Canay J+7 more
europepmc +1 more source
This study presents a novel method to improve sensitivity and gas identification in resistive gas sensors by dividing operation into reaction and signal detection phases. The reaction phase optimizes chemisorption, while the signal detection phase, using a read‐bias technique, enhances sensitivity.
Kangwook Choi+7 more
wiley +1 more source