Results 181 to 190 of about 6,393,826 (325)

Versatile HIV Rev-dependent reporter cell system for stringent and sensitive quantification of viral reservoirs, neutralizing antibodies, and restriction factors. [PDF]

Retrovirology
Spear M, Choi J, Hetrick B, Lee J, Lê-Bury G, Vo TT, Han Y, Liang H, Guo J, Yu D, Iyer S, Mwandumba HC, Russell DG, Wu Y, Gludish DW.   +14 more
europepmc   +1 more source

Erratum: Efficient polarization-entanglement purification based on parametric down-conversion sources with cross-Kerr nonlinearity [Phys. Rev. A77, 042308 (2008)] [PDF]

, 2008
Yu‐Bo Sheng, Fu‐Guo Deng, Hongyu Zhou   +2 more
openalex   +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

The Moral Law [PDF]

, 1945
Gannon, S.J., Rev. Robert I.
core   +1 more source

Erratum: Many-body interactions of neutrinos with nuclei: Observables [Phys. Rev. C86, 014614 (2012)] [PDF]

, 2014
O. Lalakulich, K. Gallmeister, U. Mosel
openalex   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Surface Topography of Hardened Stainless Steel in Dry Finish Turning Using CBN and Cemented Carbide Inserts. [PDF]

Materials (Basel)
Leksycki K, Feldshtein E, Pawłowski J.
europepmc   +1 more source

Erratum: Oblate deformation in neutron-rich Ag118,119 [Phys. Rev. C 95, 064311 (2017)] [PDF]

E. H. Wang, J. H. Hamilton, A. V. Ramayya, Y. X. Liu, H. J. Li, A. C. Dai, Wei-Wen Liang, F. R. Xu, J. K. Hwang, S. H. Liu, N. T. Brewer, Y. X. Luo, John Rasmussen, Y. Sun, S. J. Zhu, G. M. Ter–Akopian, Yu. Ts. Oganessian   +16 more
openalex   +1 more source

Erratum: Electromagnetic energy momentum in dispersive media [Phys. Rev. A83, 013823 (2011)] [PDF]

, 2012
T. G. Philbin
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