Results 181 to 190 of about 15,047 (298)

Elucidating the Transition Kernel and Anharmonic Coupling in the Spin-crossover Process of a [Fe^III(qsal)₂] CH₃OSO₃ Complex. [PDF]

Angew Chem Int Ed Engl
Mitra S, Farkhutdinova D, Mai S, Hayes SA, Jiang Y, Ishikawa T, Takahashi K, González L, Miller RJD.   +8 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

"Optochemistry", when chemistry meets optics. [PDF]

Sci Technol Adv Mater
Yamamoto Y, Kushida S.
europepmc   +1 more source

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

Rapid Fragment Screening by 19F Steady‐State Free Precession NMR

Angewandte Chemie, EarlyView.
19F$^{19}{\rm F}$ SSFP NMR is a broadband and very sensitive experiment for detecting protein–ligand interactions. The method enables rapid fragment screening at low micromolar protein concentrations, even for challenging drug targets such as intrinsically disordered proteins.
Laura Ruduša, Sintija Ozola, Kostiantyn P. Melnykov, Yaroslav I. Filatov, Serhiy V. Ryabukhin, Raitis Bobrovs, Dmytro M. Volochnyuk, Kristaps Jaudzems, Rihards Aleksis   +8 more
wiley   +2 more sources

Numerical investigation of low-frequency shock train oscillations in a divergent isolator with vortex generator jets. [PDF]

PLoS One
Wang J, He K, Zhou Q, Wang J.
europepmc   +1 more source

Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction

Advanced Intelligent Systems, EarlyView.
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin, Ren Cao, Zhongxue Gan, Siyang Leng   +3 more
wiley   +1 more source

Robust Control of Distribution Static Compensator in Self-Excited Induction Generator-Based Wind Energy Systems Under Sensor Failures and Abnormal Load Conditions. [PDF]

Sensors (Basel)
Özer AS, Karaca H.
europepmc   +1 more source

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

Competitive oscillatory dynamics in excitable neuron networks. [PDF]

Front Netw Physiol
Zheng Z, Yan L, Li T, Liu J, Wang L, Qian Y.   +5 more
europepmc   +1 more source