Dispersion-engineered X(2) nanophotonics: a flexible tool for nonclassical light

Working with satellite data, has long been an issue for users which has often prevented from a wider use of these data because of Volume, Access, Format and Data Combination. The purpose of the Storm Ice Oil Wind Wave Watch System (SIOWS) developed at Satellite Oceanography Laboratory (SOLab) is to solve the main issues encountered with satellite data and to provide users with a fast and flexible tool to select and extract data within massive archives that match exactly its needs or interest improving the efficiency of the monitoring system of geophysical conditions in the Arctic. SIOWS - is a Web GIS, designed to display various satellite, model and in situ data, it uses developed at SOLab storing, processing and visualization technologies for operational and archived data. It allows synergistic analysis of both historical data and monitoring of the current state and dynamics of the "ocean-atmosphere-cryosphere" system in the Arctic region, as well as Arctic system forecasting based on thermodynamic models with satellite data assimilation.

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Application of experimental design for selection of optimal modes of electro-deformation cladding with a flexible tool

10.36652/0042-4633-2020-5-71-76 ◽

2020 ◽

pp. 71-76

Author(s):

M.A. Levantsevich ◽

E.V. Pilipchuk ◽

N.N Maksimchenko ◽

L.S. Belevskiy ◽

R.R. Dema

Keyword(s):

Composite Material ◽

Experimental Design ◽

Statistical Models ◽

Experiment Planning ◽

Flexible Tool ◽

Tool Coating ◽

Coating Composite ◽

Selection Of

Experimental-statistical models of the process of forming composite chromium coatings by electrodeformation cladding with a flexible tool are developed, which allow to determine the parameters of the regimes for obtaining coatings of the required thickness and roughness. Keywords electrodeformation cladding, flexible tool, coating, composite material, experiment planning, noncompositional plan, thickness, roughness. [email protected]

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Novel Nonclassical-light-assisted Protocols for Quantum Key Distribution

10.21236/ada566140 ◽

2011 ◽

Author(s):

Ulvi Yurtsever ◽

Jonathan P. Dowling

Keyword(s):

Quantum Key Distribution ◽

Key Distribution ◽

Nonclassical Light

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Network-based Simulation in Water Construction – a Flexible Tool for Equipment Selection

SNE Simulation Notes Europe ◽

10.11128/sne.26.sn.10329 ◽

2016 ◽

Vol 26 (1) ◽

pp. 55-58

Author(s):

Gerhard Höfinger ◽

Stefan Brunner

Keyword(s):

Flexible Tool ◽

Equipment Selection

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Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

Nature Communications ◽

10.1038/s41467-021-25469-8 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Kylee H. Maclachlan ◽

Even H. Rustad ◽

Andriy Derkach ◽

Binbin Zheng-Lin ◽

Venkata Yellapantula ◽

...

Keyword(s):

Multiple Myeloma ◽

Copy Number ◽

Prognostic Impact ◽

Newly Diagnosed ◽

Flexible Tool ◽

Whole Exome ◽

Hematological Cancers ◽

Relationship Of ◽

The Relationship ◽

Validation Series

AbstractChromothripsis is detectable in 20–30% of newly diagnosed multiple myeloma (NDMM) patients and is emerging as a new independent adverse prognostic factor. In this study we interrogate 752 NDMM patients using whole genome sequencing (WGS) to investigate the relationship of copy number (CN) signatures to chromothripsis and show they are highly associated. CN signatures are highly predictive of the presence of chromothripsis (AUC = 0.90) and can be used identify its adverse prognostic impact. The ability of CN signatures to predict the presence of chromothripsis is confirmed in a validation series of WGS comprised of 235 hematological cancers (AUC = 0.97) and an independent series of 34 NDMM (AUC = 0.87). We show that CN signatures can also be derived from whole exome data (WES) and using 677 cases from the same series of NDMM, we are able to predict both the presence of chromothripsis (AUC = 0.82) and its adverse prognostic impact. CN signatures constitute a flexible tool to identify the presence of chromothripsis and is applicable to WES and WGS data.

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