Results 191 to 200 of about 191,441 (332)

Only one of a wide assortment of manganese-containing SOD mimicking compounds rescues the slow aerobic growth phenotypes of both Escherichia coli and Saccharomyces cerevisiae strains lacking superoxide dismutase enzymes

, 2007
William Munroe, Carolyn N. Kingsley, Armando Durazo, Edith Butler Gralla, James A. Imlay, Chandra Srinivasan, Joan Selverstone Valentine   +6 more
openalex   +2 more sources

Enhanced Mechanical and Electrochemical Properties of Carbon Nanotube Fibers via Embedded Sucrose‐Derived Porous Carbon for Mechanoelectrochemical Energy Harvesting

Advanced Functional Materials, EarlyView.
Sucrose‐derived porous carbon network (SPINE‐C) is formed within CNT fibers via FCCVD, bridging inter‐bundles of CNTs and increasing surface area through introduced microporosity. As a result, both mechanical and electrochemical properties are simultaneously enhanced, leading to a 2.8‐fold increase in the power density of a mechano‐electrochemical ...
Hocheol Gwac, Dong Yeop Lee, Gyu Hyeon Song, Ji Hwan Moon, Jae Myeong Lee, Hyeon Jun Sim, Junki Bang, Youngjin Jeong, Changsoon Choi, Seon Jeong Kim   +9 more
wiley   +1 more source

Phase Stabilities and Influence on Magnetic and Electrical Properties of the System (Mg_xMn_4-x)MnVO₈. [PDF]

Chemistry
Fraune J, Bredow T, Kunz S, Blaschkowski B, Clemens O.   +4 more
europepmc   +1 more source

Flexible Electrospun Iron/Manganese-Based Compounds/Carbon Fibers: Phase Transformation and Electrochemical Properties

, 2023
Fei Xie, Xiaoli Sheng, Zhibin Ling, Shujin Hao, Qingye Zhang, Meng Sun, Guanting Liu, Feiyu Diao, Yiqian Wang   +8 more
openalex   +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

Manganese Complexes Bearing Bulky DAB Ligands as Efficient Catalysts for the Solvent-Free Hydroboration of Ketones. [PDF]

Int J Mol Sci
Mermela A, Duch A, Wałęsa-Chorab M, Żak P.   +3 more
europepmc   +1 more source

Deep oxidation of chlorinated volatile organic compounds over manganese-based perovskite catalysts

, 2001
A. DE PAOLI, Antonello Barresi
openalex   +1 more source

A Survey on the Actual Condition of Factories Handling Manganese Compounds

, 1965
K. Horiuchi, Shun'ichi Horiguchi, Takeshi Utsunomiya, Shinichiro Morioka, Akira Kasahara, Kozo Shinagawa, Kazuhito Iyoda, Nobuyuki Tanaka, N. Tsuyama, H. Ikutomi, Kyoko Miura, Takeji Shiki, Shunya Morimoto   +12 more
openalex   +2 more sources

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

Using glycine to recover valuable metals from lithium-ion batteries. [PDF]

Sci Rep
Tahan E, Koohestani H.
europepmc   +1 more source