Results 151 to 160 of about 42,170 (301)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Temporal Interference Stimulation Enhances Neural Regeneration
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressott +15 more
wiley +1 more source
Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity. [PDF]
Nielsen F.
europepmc +1 more source
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source
Mechanozyme: An Artificial Enzyme With a Mechanophore Framework
Mechanical destabilization of a G‐quadruplex mechanophore in a DNAzyme markedly boosts its catalytic activity, demonstrating “mechanozymes” as artificial enzymes whose functions are modulated by mechanical stress exerted by ultrasonication. This mechanozyme principle is broadly applicable to control biomolecular activities.
Jiahao Ji +7 more
wiley +1 more source
Learning Features with Structure-Adapting Multi-view Exponential Family\n Harmoniums [PDF]
Yoonseop Kang, Seungjin Choi
openalex +1 more source
Sensing and Filtering Environmental Fluctuations: The Case of Biomolecular Condensates in Plants
The diversity of plant condensates reflects constraints of sessile organisms to coordinate postembryonic development with environmental adaptation. This review examines how plants employ condensates to integrate temperature, light, redox, and nutrient signals.
Panagiotis N. Moschou, Dorothee Staiger
wiley +1 more source
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu +15 more
wiley +1 more source
Exponential families and affine Grassmannians [PDF]
Danuzia Nascimento Figueirêdo +2 more
openalex +1 more source

