Results 201 to 210 of about 4,935 (245)

Anchored dilacunary phosphotungstates on zeolite HY: synthesis and solvent free selective oxidation of levulinic acid to succinic acid using environmentally benign oxidant, H₂O₂. [PDF]

RSC Adv
Joshi M, Patel A.
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Neuroimmunomodulation of AMPA Receptors Through Combination of Medium-Chain Triglycerides and Perampanel to Treat Status Epilepticus in Anti-NMDA Receptor Encephalitis. [PDF]

J Neuroimmune Pharmacol
Stadler LM, Schappe L, Lochner P, Bonifer L, Fousse M, Meuth SG, Groppa S, Winter Y.   +7 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Successful Treatment With Rituximab for Severe Immune Thrombocytopenic Purpura During Hemodialysis. [PDF]

Cureus
Hanyuda M, Wada Y, Motohashi T, Yanagisawa K, Saito G, Uchitsubo R, Kawamura S, Sakurabayashi S, Takeuchi K, Naito S, Takeuchi Y.   +10 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Fine-Tuning Catalysts: The Role of Support Nanomorphology in Shaping Cu/CeO₂ CO-PROX Properties. [PDF]

ACS Catal
Fernández-Villanueva E, Pérez-Bailac P, Lustemberg PG, Hungría AB, Pascual L, Cataluña R, Vidal-Moya JA, Blasco T, Ganduglia-Pirovano MV, Martínez-Arias A.   +9 more
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Microbial Ecology at the Nexus of Food Safety and Biotechnology With Ecological Mechanisms, Risks, and Emerging Innovations. [PDF]

Int J Food Sci
Tepson JA, Agyirifo DS.
europepmc   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source