Results 211 to 220 of about 2,711 (280)

Aromaticity of Substituted Benzene Derivatives Employing a New Set of Aromaticity Descriptors Based on the Partition of Electron Density. [PDF]

J Comput Chem
Máximo-Canadas M, Rosa NMP, Borges I.
europepmc   +1 more source

Towards Geographies of Silence: Unspoken Boundaries

Transactions of the Institute of British Geographers, EarlyView.
ABSTRACT Despite its social and spatial significance, silence remains an under‐explored and under‐theorised subject in geography. This paper addresses this lacuna by examining silence as a boundary‐making practice in geographically distant relationships.
Dora Sampaio
wiley   +1 more source

Simultaneous clustering and estimation of networks in multiple graphical models. [PDF]

Biostatistics
Li G, Wang M.
europepmc   +1 more source

Energetic microdomains and the vascular control of neuronal and muscle excitability: Toward a unified model

The Journal of Physiology, EarlyView.
Abstract figure legend The capillary–mitochondria–ion channel (CMIC) axis scales structural resources to match functional workload. (Left) In settings of restricted energetic capacity (e.g. cortical neurons), sparse capillary networks and modest mitochondrial pools set a lower energetic ceiling, sufficient to support phasic, low‐workload excitability. (
L. Fernando Santana, Scott Earley
wiley   +1 more source

Properties of Bisdiazo Compounds and Their Derived Carbenes via Density Functional Theory. [PDF]

Chemphyschem
Liu X, Moloney MG.
europepmc   +1 more source

The Port-Hamiltonian Structure of Continuum Mechanics. [PDF]

J Nonlinear Sci
Rashad R, Stramigioli S.
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Interaction Order Estimation in Tensor Curie-Weiss Models. [PDF]

Entropy (Basel)
Mukherjee S.
europepmc   +1 more source

Alignment of the Starlings: Learning With Generative AI

Future Humanities, Volume 4, Issue 1, May 2026.
ABSTRACT I will argue that answers to normative questions concerning the place of generative AI in learning rest on answers to ontological questions regarding (1) precisely what is happening when a human ‘interacts’ with generative AI and (2) What is distinctive about organic learning as opposed to currently existing ‘machine learning’ (3) What is the ...
Sean Watson
wiley   +1 more source