Results 181 to 190 of about 219,967 (286)

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Thermo-CR: real-time physics-based cloud shadow removal via thermodynamic atmospheric modelling and multi-source fusion. [PDF]

Sci Rep
Sachin R, Jagawat RS, Koganti A, Reddy VV, Sandhya S, Abhishek S.   +5 more
europepmc   +1 more source

Inverse Design of Copolyamides via Sequence‐Sensitive Multifidelity Hybrid Models and Teacher–Student Genetic Algorithm

Materials Genome Engineering Advances, EarlyView.
A sequence‐sensitive multi‐fidelity hybrid modeling framework combined with a teacher‐student genetic algorithm enables the inverse design of copolyamides. The hybrid model balances prediction accuracy, sequence‑sensitivity, and computational cost. A two‑tier genetic algorithm can efficiently identify the monomer structures and ratios of copolyamides ...
Sheng Chen, Chaoran Huang, Jianan Hong, Yuquan He, Yuemeng Qiao, Yang Zhao, Siqin Song, Jiaping Lin, Liang Gao   +8 more
wiley   +1 more source

Mutual information minimization enhances noise robustness and induces fault containment in functionally differentiated recurrent neural networks. [PDF]

Front Neurosci
Tomoda Y, Yamaguti Y.
europepmc   +1 more source

Optimal‐Control 19F PROJECT Improves the Reliability of CPMG‐Derived Relaxation Rates

Magnetic Resonance in Chemistry, EarlyView.
PROJECT with seedless optimal control pulses for 19F‐based protein‐ligand interaction screenings allows for a lower error in R2 estimates than those obtained with CPMG for J‐coupled fluorine signals and is indistinguishable from CPMG when the coupling is negligible, at the price of a modest reduction in SNR.
Marco Schiavina, Enrico Luchinat, Enrico Ravera   +2 more
wiley   +1 more source

Utilization of advanced machine learning based on financial ontology induction for adaptive multilingual method in document recognition. [PDF]

Sci Rep
Li B.
europepmc   +1 more source

How can children and young people have a voice in urban treescapes?

People and Nature, EarlyView.
Abstract Scientific understanding of climate change has, to date, failed to result in sufficient action. This paper proposes that a deficit model of top‐down learning and dissemination in relation to public engagement with science may be part of the problem, particularly when considering the attitudes, values and empowerment of children and young ...
Simon Carr, Abi Hackett, Kate Pahl, Samyia Ambreen, Khawla Badwan, Elizabeth Curtis, Susannah Gill, Ambika Kapoor, Peter Lawrence, Johan Siebers, Jan White   +10 more
wiley   +1 more source

Physics-guided self-supervised learning for high-fidelity reconstruction in live-cell imaging. [PDF]

Npj Imaging
Xu G, Li X, Chen X.
europepmc   +1 more source

Multi‐scale flow analysis for scale‐aware urban canopy models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We found that scale‐aware models are necessary when numerical weather prediction models approach hectometric resolution, which is associated with a characteristic length‐scale of morphological heterogeneity. This morphology‐dependent length‐scale indicates that resolved and unresolved heterogeneity are equally important.
Jingzi Huang, Maarten van Reeuwijk
wiley   +1 more source

The problem with how we view medical (and diagnostic) error in emergency medicine. [PDF]

Acad Emerg Med
Ladell MM, Jacobson NL, Yale SC, McDermott KL, Papautsky EL, Catchpole KR, Scanlon MC.   +6 more
europepmc   +1 more source