Results 141 to 150 of about 885 (239)
MADOran: A morphologically annotated dataset of Oran. [PDF]
Sawalha M +6 more
europepmc +1 more source
Abstract Tumor‐educated platelets (TEPs) are emerging as a compelling frontier in liquid biopsy, functioning as dynamic, systemic sensors that sequester and process tumor‐derived biomolecules. This interaction imprints an integrated molecular signature of malignancy—spanning the transcriptome, proteome, lipidome, and crucially, the captured genome ...
Whi‐An Kwon +5 more
wiley +1 more source
Energy additivity as a requirement for universal quantum thermodynamical frameworks. [PDF]
Neves LR, Brito F.
europepmc +1 more source
Alternative Price Dynamics and Valuation of Flexible Strategies
ABSTRACT In this article, we study the optimal operational strategy of production projects. We investigate different underlying price models and determine the optimal barriers of transition to suspension, recovery, or irreversible abandonment of productive activity.
Cristina Bertolosi +2 more
wiley +1 more source
The quantum theory of light. [PDF]
Barnett SM, Jeffers J.
europepmc +1 more source
Abstract In this report, we describe two cases of diaphragmatic endometriosis with concurrent hepatorenal recess peritoneal involvement managed using robotic‐assisted laparoscopic surgery with the da Vinci Xi platform. In both patients, diaphragmatic implants and hepatorenal recess peritoneal lesions were excised en bloc, followed by resection of ...
Xiaoming Guan +3 more
wiley +1 more source
Dual-hesitant fermatean fuzzy Hamacher aggregation operators and TOPSIS with their application to multi-criteria decision-making. [PDF]
Amman M +4 more
europepmc +1 more source
ABSTRACT Ovarian cancer (OC) continues to be the deadliest gynecological malignancy and a significant cause of cancer‐related mortality among women worldwide. Standard treatment strategies typically entail platinum‐based chemotherapy in conjunction with cytoreductive surgery.
Zunera Khalid +4 more
wiley +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source

