Results 181 to 190 of about 5,472,482 (287)

A Homoleptic Copper(I) Acetylene Complex

open access: yesChemistry – A European Journal, EarlyView.
Ligand substitution of weakly coordinated N2 in [(N2)Cu{Al(ORF)4}] (RF = C(CF3)3) leads to the homoleptic acetylene complex [Cu(C2H2)3]+[Al(ORF)4]−, which was characterized by single crystal x‐ray diffraction, NMR, and Raman spectroscopy, as well as by extensive quantum chemical calculations. ABSTRACT We report the synthesis and characterization of the
Julie Willrett   +3 more
wiley   +1 more source

Ramanujan expander networks for authenticated grayscale image encryption. [PDF]

open access: yesPLoS One
Razzaque A   +4 more
europepmc   +1 more source

Trends and Future Directions in Organic Chemistry for Drug Discovery

open access: yesChemistry – A European Journal, EarlyView.
Organic synthesis is being reshaped by the convergence of catalytic innovation, automation, artificial intelligence, and emerging therapeutic modalities. Late‐stage functionalization, photoredox and electrochemical methods, biocatalysis, flow chemistry, DELs, and proximity‐based drugs are examined as components of closed‐loop discovery.
Paweł Kozyra, Maciej Masłyk
wiley   +1 more source

From Nature to Supply Chain: Exploring Biomimicry‐Based Pathways to Sustainability and Competitive Advantage

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Inspired by insights gleaned from biomimicry theory, this paper addresses the persistent lack of theoretically grounded research in sustainable supply chain management (SSCM) and examines how nature‐inspired biomimicry principles could enhance various dimensions of its competitiveness. This study's theoretical contribution lies in its proposal
Susana Garrido   +4 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

open access: yesDeep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu   +4 more
wiley   +1 more source

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