Results 201 to 210 of about 516,305 (250)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
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, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Grammar rules and exceptions for the language of transcriptional activation domains. [PDF]

iScience
Cooper DG, Erkina TY, Broyles BK, Class CA, Erkine AM.   +4 more
europepmc   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source

BASAL: a universal mapping algorithm for nucleotide base-conversion sequencing. [PDF]

Nucleic Acids Res
Xu M, Liu X, Wang M, Luo T, Gao Y, Liu J, Shi J.   +6 more
europepmc   +1 more source

Effects of Dalcroze Eurhythmics Exercise Versus Multicomponent Exercise on Physical and Cognitive Function, and Falls in Older Adults: The EPHYCOS Randomized Controlled Trial

Advanced Biology, EarlyView.
In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars, Natalia Fernandez, François Herrmann, René Rizzoli, Serge Ferrari, Christophe Graf, Patrik Vuilleumier, Andrea Trombetti   +7 more
wiley   +1 more source

Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns. [PDF]

PeerJ Comput Sci
Mersal ER, Karaoğlan KM, Kutucu H.
europepmc   +1 more source

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

Advanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi, Anjali Kumari, Samaneh Ghadami, Saqer Al Abdullah, Kristen Dellinger   +4 more
wiley   +1 more source

A binary merger product as the direct progenitor of a Type II-P supernova

Niu* Z, Sun* N, Zapartas* E, Souropanis D, Cui Y, Maund JR, Andrews JJ, Briel MM, Fraser M, Gossage S, Kruckow MU, Liotine C, Liu Z, Srivas PM, Teng E, Wang X, Yang Y, Liu J.   +17 more
europepmc   +1 more source

Tracing the inner edge of the habitable zone with sulfur chemistry. [PDF]

Sci Adv
Jordan S, Shorttle O, Rimmer PB.
europepmc   +1 more source

Regulating Protein Immobilization During Cell‐Free Protein Synthesis in Hyaluronan Microgels

Advanced Biology, EarlyView.
Bifunctional microgels carrying a linear DNA template and Ni2+‐activated NTA moieties are used as platform for cell‐free protein synthesis and in situ protein immobilization. By varying the concentration of NTA moieties in the microgels, the amount of GFP‐His immobilized inside the microgel and released to the microgel environment can be regulated ...
Anika Kaufmann, Kateryna Ivanova, Julian Thiele   +2 more
wiley   +1 more source