Results 201 to 210 of about 6,956,885 (344)

Diverse evolutionary trajectories of mitocoding DNA in mammalian and avian nuclear genomes. [PDF]

Genome Res
Chen YC, Vendrami DLJ, Huber ML, Handel LEY, Cooney CR, Hoffman JI, Gossmann TI.   +6 more
europepmc   +1 more source

Near‐Infrared Emitting Lanthanide Catecholate Giant Single Crystals – Morphology Control and Photon Down‐Conversion

Advanced Functional Materials, EarlyView.
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr, Alexander Biewald, Andre Mähringer, Thaddäus J. Koller, Peter Mayer, Markus Döblinger, Achim Hartschuh, Dana D. Medina   +7 more
wiley   +1 more source

Ten common misconceptions about Galaxy (and why they are wrong!). [PDF]

PLoS Comput Biol
Bacon WA, Batut B, Srikakulam SK, Zierep P, Bretaudeau A, Grüning B, Le Corguillé G, Hecht H, Davis JY, Hotz HR, Serrano-Solano B.   +10 more
europepmc   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 more
wiley   +1 more source

A precise metallicity and carbon-to-oxygen ratio for a warm giant exoplanet from its panchromatic JWST emission spectrum. [PDF]

Proc Natl Acad Sci U S A
Wiser LS, Bell TJ, Line MR, Schlawin E, Beatty TG, Welbanks L, Greene TP, Parmentier V, Murphy MM, Fortney JJ, Arnold K, Mehta N, Ohno K, Mukherjee S.   +13 more
europepmc   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Boosting superconductivity in ultrathin YBa₂Cu₃O_7-δ films via nanofaceted substrates. [PDF]

Nat Commun
Wahlberg E, Arpaia R, Chakraborty D, Kalaboukhov A, Vignolles D, Proust C, Black-Schaffer AM, Bauch T, Seibold G, Lombardi F.   +9 more
europepmc   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

Indeterminate Phase/Grey Zone of Chronic Hepatitis B: Clinical Features, Outcomes and Molecular Insights. [PDF]

Liver Int
Franzè MS, Pollicino T, Pawlotsky JM, Leroy V, Raimondo G, Amaddeo G.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source