Results 181 to 190 of about 4,150,880 (292)
Prone positioning does not affect survival in patients with ARDS [PDF]
Ognjen Gajic
openalex +1 more source
From Low Symmetry to High Dissymmetry: Chiral Plasmonic Films of Binary and Nanobipyramid Assemblies
This work develops highly dissymmetric chiral plasmonic thin films by helically assembling gold nano bipyramids within a liquid‐crystal template. Engineering of the chiroptical response is achieved by varying particle size and geometry, as well as preparing binary assemblies.
Martyna Wasiluk +10 more
wiley +1 more source
Positioning of Infants in the Prone Position: A Useful Technique [PDF]
Michael Zagnoev, Clarence S. Greene
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Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang +4 more
wiley +1 more source
Prospective study to evaluate the kind of prone position concerning nursing, pulmonary outcome and material and personnel resources [PDF]
TR Neubert, R. Stiletto, L. Götzen
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Coating the standard polypropylene separator with a porous red phosphorous nanosheet greatly improves cycling performance in Li electrode cells. The phosphorus‐based surface chemistry deactivates electrolyte solvent decomposition and enhances the cleavage of F‐containing salt, resulting in an inorganic‐dominated electrolyte interphase (SEI) composition
Jiangpeng Wang +9 more
wiley +1 more source
Effect of prone position on hepato-splanchnic hemodynamics in acute lung injury [PDF]
Martin Matějovič +5 more
openalex +1 more source
Early application of prone position for management of Covid-19 patients
Majid Golestanieraghi, A. Mahmoodpoor
semanticscholar +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source

