Results 191 to 200 of about 1,372,330 (300)
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
scACCorDiON: A clustering approach for explainable patient level cell-cell communication graph analysis. [PDF]
Nagai JS, Maié T, Schaub MT, Costa IG.
europepmc +1 more source
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez+8 more
wiley +1 more source
Classification of Intraoral Photographs with Deep Learning Algorithms Trained According to Cephalometric Measurements. [PDF]
Kartbak SBA+4 more
europepmc +1 more source
RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer
Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav+5 more
wiley +1 more source
Acyclic and star coloring parameters of fractal cubic networks. [PDF]
Renuga C+3 more
europepmc +1 more source
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Alternative Algebraic Perspectives on CO/H<sub>2</sub> PROX over MnO<sub>2</sub> Composite Catalysts. [PDF]
Bertini M+6 more
europepmc +1 more source