Results 241 to 250 of about 790,581 (296)

Leveraging Cognitive and Speech Ecological Momentary Assessment in Individuals With Phenylketonuria: Development and Usability Study of Cognitive Fluctuations in a Rare Disease Population. [PDF]

JMIR Form Res
Singh S, Kluen L, Curtis K, Norel R, Agurto C, Grinspoon E, Hawks Z, Christ S, Waisbren S, Cecchi G, Germine L.   +10 more
europepmc   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Law of the iterated logarithm for oscillating random walks conditioned to stay non-negative

, 2003
Ben Hambly, Götz Kersting, Andreas E. Kyprianou   +2 more
openalex   +1 more source

Decentralized state estimation: An approach using pseudomeasurements and preintegration. [PDF]

Int J Rob Res
Cossette CC, Shalaby MA, Saussié D, Forbes JR.   +3 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Impact of crystal structure symmetry in training datasets on GNN-based energy assessments for chemically disordered CsPbI₃. [PDF]

Sci Rep
Krautsou AV, Humonen IS, Lazarev VD, Eremin RA, Budennyy SA.   +4 more
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

Multistable Composite Laminate Grids as a Design Tool for Soft Reconfigurable Multirotors

Advanced Intelligent Systems, EarlyView.
Flexible, lightweight, stable: the reconfigurable multirotor combines stable flight in multiple shapes with low‐energy reconfiguration. Utilizing optimized multistable composites, it achieves self‐locking in open and folded configurations, cutting width‐span by 48% and allowing for safe gap traversal.
Luca Girardi, Giada Risso, Laura Pesaresi, Paolo Ermanni, Stefano Mintchev   +4 more
wiley   +1 more source

Microsatellite and Mitochondrial COI Provide Novel Insights Into the Population Genetic Structure of White Prunicola Scale (Pseudaulacaspis prunicola) in China. [PDF]

Ecol Evol
Niu M, Fu D, Wang H, Liu Y, Du X, Zhao Q, Wei J.   +6 more
europepmc   +1 more source