Results 201 to 210 of about 13,207 (286)

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

Journal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Decoding the Oxylipin Chemical Space Using Ion Identity Molecular Networking. [PDF]

Anal Chem
Camunas-Alberca SM, Bartolini F, Cermakova H, Sánchez-Illana Á, Perez-Guaita D, Cañadas-Miquel P, Gil-de-la-Fuente A, Galano JM, Durand T, Gradillas A, Barbas C.   +10 more
europepmc   +1 more source

Unveiling the health‐promoting potential of Sudanese sorghum landraces: A legacy rooted in Eastern Sudan, Kassala, and the Red Sea States

PLANTS, PEOPLE, PLANET, EarlyView.
Sorghum is a staple food for hundreds of millions of people in dry regions worldwide, and improving its nutritional quality is vital for global food and health security under climate change. In this study, we evaluated traditional Sudanese sorghum varieties grown in eastern deltas to better understand their natural health‐promoting properties. We found
Khitma A. Sir Elkhatim, Manhal Gobara Hamid, Ahmed Khalifa, Mahbubjon Rahmatov, Mohammed Elsafy, Tilal Abdelhalim   +5 more
wiley   +1 more source

Sidelobe suppression for cosine-sum window functions via chaotic particle swarm optimization. [PDF]

Sci Rep
Dong Z, Chen Y.
europepmc   +1 more source

Ankh‐Score Produces Better Sequence Alignments Than AlphaFold3

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Protein sequence alignment is one of the most fundamental procedures in bioinformatics. Due to its many downstream applications, improvements to this procedure are of great importance. We consider two revolutionary concepts that emerged recently as candidates for improving the state‐of‐the‐art alignment methods: AlphaFold and protein language ...
Julia Malec, Karina Rusen, G. Brian Golding, Lucian Ilie   +3 more
wiley   +1 more source

Chromid-like secondary replicons as predicted key sites of biosynthetic gene clusters in <i>Ktedonobacteria</i>. [PDF]

mSystems
Yabe S, Zheng Y, Takahashi S, Yang C, Nose Y, Yamazaki S, Okuma N, Rachmania MK, Ningsih F, Sjamsuridzal W, Sato M, Toyooka K, Ichihashi Y.   +12 more
europepmc   +1 more source

Flavonoids in Nasal Therapeutics: Biological Activities, Delivery Challenges, and Formulation Strategies–A Systematic Review

Phytotherapy Research, EarlyView.
Overview of the therapeutic potential of flavonoids in nasal delivery systems, highlighting their benefits to the human nasal cavity, and applications in the treatment of respiratory and brain‐related diseases. ABSTRACT Flavonoids represent a significant group of secondary metabolites.
Jeniffer Viviana Ramirez Hernández, Sara Elis Bianchi, Flávia Nathiely Silveira Fachel, Elizandra Braganhol, Sheila Porto de Matos, Valquíria Linck Bassani   +5 more
wiley   +1 more source

Curation of Mass Spectrometry Reference Data for Improved Identification and Dereplication of Cyanobacterial Specialized Metabolites. [PDF]

J Nat Prod
Schanbacher F, Dax A, Stravs MA, Niedermeyer THJ, Janssen EM.   +4 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Ensemble reliability and the signal‐to‐noise paradox in ECMWF subseasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive a general expression for the ratio of predictable components (RPC) in terms of correlation, spread–error ratio, and total variance ratio. Physical constraints on the admissible solutions (i.e., real‐valued and non‐negative variances) provide a mechanism to identify statistically paradoxical sample combinations of reliability and correlation ...
Christopher D. Roberts, Frederic Vitart
wiley   +1 more source