Results 111 to 120 of about 900,993 (312)

Fine-Scale Variations in Eucritic Pyroxene FeO/MnO: Process vs. Provenance. [PDF]

, 2018
Most asteroidal igneous rocks are eucrite-like basalts and gabbros, composed mostly of ferroan low- and high-Ca pyroxenes and calcic plagioclase, plus smaller amounts of silica (most commonly tridymite), ilmenite, chromite, troilite, Ca-phosphate, metal ...
Barrett, T. J., Berger, E. L., Le, L, Mittlefehldt, D. W., Peng, Z. X., Ross, D. K   +5 more
core  

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

Secondary Education Students’ Misconceptions on Principles of Geology: Minerals and Rocks

Geosciences
The purpose of this research is to investigate the misconceptions related to geological concepts among Secondary Education students in the region of Achaia, Greece.
Georgios Giotopoulos, Ioannis Koukouvelas, Irini Skopeliti, Polychronis Economou, Dimitrios Papoulis   +4 more
doaj   +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

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation

Advanced Functional Materials, EarlyView.
Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna, Katarina Gugujonovic, Manuela Schiek, Alessandro Bellapianta, Paul Werginz, Amelie Ziller, Markus Clark Scharber, Ahmad Salti, Matthias Bolz, Mihai Irimia‐Vladu, Günther Zeck   +10 more
wiley   +1 more source

Diaplectic transformation of minerals: Vorotilov drill core, Puchezh-Katunki impact crater, Russia [PDF]

The Vorotilov core was drilled in the central uplift of the Puchezh-Katunki astrobleme to a depth of 5.1 km. Impactites are revealed in the rocks of the core beginning from a depth of 366 m: suevites (66 m), allogenic breccias (112 m), and autogenic ...
Feldman, V. I.
core   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

Multifunctional Microstructured Surfaces by Microcontact Printing of Reactive Microgels

Advanced Functional Materials, EarlyView.
Reactive poly(N‐vinylcaprolactam‐co‐glycidyl methacrylate) microgels are used as functional inks to create surface‐grafted arrays on glass via microcontact printing. The patterns (10–50 µm widths and spacings) enable stable binding and post‐functionalization with dyes and peptides.
Inga Litzen, Alexander Töpel, Martin Zenke, Antonio Sechi, Andrij Pich   +4 more
wiley   +1 more source

REFERENCE MATERIALS SYSTEM OF SCIENTIFIC METHODICAL CENTRE OF STATE SERVICE OF REFERENCE MATERIALS FOR COMPOSITION AND PROPERTIES OF SUBSTANCES AND MATERIALS URAL RESEARCH INSTITUTE FOR METROLOGY

Стандартные образцы, 2017
Since 1960s UNIIM performs research in the field of needs in reference materials of composition and properties of substances and materials (RM) as well as develops it.
E. V. Osinseva, S. T. Agisheva, E. M. Gorbunova, L. I. Gorjaeva, A. S. Zaporozhec, V. M. Zyskin, V. V. Kazancev, M. P. Krasheninina, O. N. Kremleva, T. I. Maslova, M Ju. Medvedevskih, V. N. Sennikova, E. P. Sobina, A. V. Sobina, G. I. Terent'ev, A. Ju. Shimolin   +15 more
doaj