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Titlebook: Nanoplasmonics, Nano-Optics, Nanocomposites, and Surface Studies; Selected Proceedings Olena Fesenko,Leonid Yatsenko Conference proceedings

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51#
發(fā)表于 2025-3-30 10:18:47 | 只看該作者
Computer Simulation of Cholesterol Molecules Embedded in High-Density Lipoprotein in a free cluster differs from the case of cholesterols embedded inside an HDL. In addition, the dynamics of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine molecules forming the outer layer of HDL has been studied. We show that it is slightly influenced by water surrounding lipoprotein aggregate.
52#
發(fā)表于 2025-3-30 15:37:20 | 只看該作者
Transport Properties of the Dirac-Weyl Electrons Through the Graphene-Based Superlattice Modulated bf the bands and their width are very sensitive to the Fermi velocity magnitude as well as to other quantities: the external electrostatic potential and the geometrical parameters (width of the barriers and quantum wells).
53#
發(fā)表于 2025-3-30 19:28:21 | 只看該作者
Dynamical Properties of Two-Dimensional Aggregates in Patchy Particle Systemsaggregates are more capable to dissolve the information about the particles velocity. Angular velocity correlations are shown to exhibit unusual three stage characteristics with an intermediate almost linear state considered as an effect of the bond exchange mechanism.
54#
發(fā)表于 2025-3-31 00:47:01 | 只看該作者
55#
發(fā)表于 2025-3-31 02:33:03 | 只看該作者
processes. Much of the work performed by data professionals can be classified as “drudge work”—tasks that are repetitive and template-based. The frameworks-based approach shown in this book helps you to avoid that drudgery by turning repetitive tasks into "one and done" operations. Frameworks as des
56#
發(fā)表于 2025-3-31 08:46:00 | 只看該作者
57#
發(fā)表于 2025-3-31 10:31:25 | 只看該作者
58#
發(fā)表于 2025-3-31 14:38:31 | 只看該作者
59#
發(fā)表于 2025-3-31 19:29:01 | 只看該作者
P. Raczyński,V. Raczyńska,Z. Gburskie rings. You’ll learn some quick solutions too, but emphasis is on designingfor performance and getting it right, and upon heading off trouble before it occurs. Delight your users. Silence that ringing phone. Put the principles and lessons from .SQL Server Query Performance Tuning. into practice tod
60#
發(fā)表于 2025-3-31 22:43:14 | 只看該作者
L. S. Martseniukly compiled, resulting in additional performance improvements. By utilizing In-Memory OLTP, it is possible to achieve performance improvement of up to 20 times. In-Memory OLTP is designed for tables with a high number of concurrent data-manipulation transactions where blocking is causing performance
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