Results 131 to 140 of about 553 (265)

Materials and Music: Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

open access: yesInterdisciplinary Materials, EarlyView.
Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley   +1 more source

Lung Cancer Patients Display Increased Expression of Bovine Meat and Milk Factor (BMMF) Proteins in Peritumor Alveolar Macrophages

open access: yesInternational Journal of Cancer, EarlyView.
Plasmid‐like DNA sequences frequently found in bovine milk and serum have been proposed as infectious agents promoting indirect carcinogenesis. This multi‐omics study detected immune cells positive for these bovine meat and milk factors (BMMFs) in patients with lung cancer, with BMMF expression inversely correlated with smoking intensity.
Nives Cecere   +17 more
wiley   +1 more source

Exchange Rates and Sovereign Risk: A Nonlinear Approach Based on Local Gaussian Correlations

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We empirically assess the interlinkages between sovereign risk, measured in terms of CDS spreads, and exchange rates for a sample of emerging markets. Our period of analysis includes episodes of severe stress, such as the Global Financial Crisis, the COVID‐19 pandemic, and the Ukrainian War.
Reinhold Heinlein   +2 more
wiley   +1 more source

Maternal and infant gut microbiome

open access: yesiMeta, EarlyView.
The maternal–infant continuum involves critical windows of host–microbiota co‐adaptation. Preconception, maternal and paternal microbiomes modulate immunity and reproduction. During pregnancy, a gut–placenta axis emerges, where microbial metabolites influence fetal growth or contribute to complications like gestational diabetes mellitus (GDM ...
Huidi Wang   +25 more
wiley   +1 more source

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

open access: yesInfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy