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Even though α-arylation of ketones is attractive for direct C-H functionalization of organic substrates, the method largely relies on phosphine-ligated palladium complexes. Only recently, efforts have focused on developing nitrogen-based ligands as a more sustainable alternative to phosphines, with pyridine-functionalized pyridinium amidate (pyr-PYA) ,'-bidentate ligands displaying good selectivity and activity. Here, we report on a second generation set of catalyst precursors that feature a 5-membered N-heterocycle instead of a pyridine as chelating unit of the PYA ligand to provide less steric congestion for the rate-limiting transmetalation of the enolate.

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Cu-modified zeolites provide methane conversion to methanol with high selectivity under mild conditions. The activity of different possible Cu-sites for methane transformation is still under discussion. Herein, ZSM-5 zeolite has been loaded with Cu2+ cations (1.

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C-H activation is the most direct way of functionalizing organic molecules. Many advances in this field still require specific directing groups to achieve the necessary activity and selectivity. Developing C-H activation reactions directed by native functional groups is essential for their broad application in synthesis.

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Objectives: To evaluate (1) the association between nailfold capillaroscopy pattern and 5-year risk for incident interstitial lung disease and (2) the association between transition in nailfold capillaroscopy pattern and risk of incident interstitial lung disease.

Methods: Data of adult patients from the EUSTAR database fulfilling the ACR-EULAR criteria with a disease duration ⩽5 years, having a scleroderma pattern at nailfold capillaroscopy with high-resolution computed tomography confirmed absence of interstitial lung disease (i.e.

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This article examines the convergence of physics, chemistry, and artificial intelligence (AI), highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing interdisciplinary research's role in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general intelligence (AGI).

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