Enhanced active learning Gaussian process metamodel for estimating the one-sided tail probability of nonlinear structural response. [PDF]
Wang Y, Huang Y, Huang Y, Yin W.
europepmc +1 more source
Erratum to "Prediction of extreme rainfall with a generalized extreme value distribution"
Yong Kyu Sung, Joong K. Sohn
openaire +2 more sources
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
Carnot and Joule Cycles Implied in Generalized Entropy and Exergy Properties as Fundamentals of Extrema Principles. [PDF]
Palazzo P.
europepmc +1 more source
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Machine Learning Models for Pancreatic Cancer Survival Prediction: A Multi-Model Analysis Across Stages and Treatments Using the Surveillance, Epidemiology, and End Results (SEER) Database. [PDF]
Chakraborty A, Pant MD.
europepmc +1 more source
This work develops a polyrotaxane‐based supramolecular semi‐interpenetrating network electrolyte. Its unique architecture decouples ion transport, achieving high ionic conductivity (0.18 mS cm−1), a superior Li+ transference number (> 0.73), and an extended electrochemical window (> 4.9 V), thereby significantly enhancing the performance of high ...
Tianyi Wang +6 more
wiley +1 more source
Climate-driven flood hazard assessment in data-scarce mountainous basins using a GIS-based machine learning and hydrodynamic modelling under CMIP6 SSP scenarios. [PDF]
Khan S +7 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Adapting floating offshore wind-hydrogen systems for emerging markets: the case of the Ica region, Peru. [PDF]
Rodríguez CA, Collu M, Brennan F.
europepmc +1 more source

