Long-Range Directional Routing and Spatial Selection of High-Spin-Purity Valley Trion Emission in Monolayer WS2

ACS Nano ◽  
2021 ◽  
Author(s):  
Pei-Gang Chen ◽  
Zhiyong Li ◽  
Yun Qi ◽  
Tsz Wing Lo ◽  
Shubo Wang ◽  
...  
Keyword(s):  
Long Range ◽  
High Spin ◽  
Spatial Selection ◽  
Directional Routing ◽  
Selection Of

scholarly journals The spatial selection of heterogeneous firms

2010 ◽  
Vol 82 (2) ◽  
pp. 230-237 ◽  
Author(s):  
Toshihiro Okubo ◽  
Pierre M. Picard ◽  
Jacques-François Thisse
Keyword(s):  
Heterogeneous Firms ◽  
Spatial Selection ◽  
Selection Of

scholarly journals Improving the algorithm for determining the areas of operation of long-range aircraft

2020 ◽  
Vol 23 (6) ◽  
pp. 40-52
Author(s):  
K. A. Kuts
Keyword(s):  
Long Range ◽  
Russian Federation ◽  
Main Type ◽  
Specific Function ◽  
Planning Systems ◽  
Microsoft Excel ◽  
Flight Planning ◽  
The Russian Federation ◽  
Selection Of

The determination of operation area from en-route alternates for long-range airline aircraft is an important aspect of ensuring safety of the upcoming flight. In the domestic and foreign methodological literature on flight planning, including the guidance material for flight planning systems, there is no single reasonable algorithm for constructing operation areas of long-range aircraft, including the use of the EDTO-ETOPS rules. The lack of methodological materials leads to the «free» values determination of areas of operation by airlines for their long-range aircraft while building routes, in particular, when determining the areas of operation on the route, the decrease in the aircraft weight during fuel combustion is ignored. A big question is also the «initial» mass calculations to determine the value of operation areas. The article identifies shortcomings of existing algorithm for identifying the areas of operation based on the fundamental methods for determining area of operation. Microsoft Excel 2019 has been used to perform a polynomial approximation of the table-specific function of the dependence of operation radius on the mass of a long-range aircraft. Based on the certain equations, more advanced algorithm to determine areas of operation has been developed. The new algorithm pays special attention to the selection of the original value of operation area. The calculations in this article are made for the Boeing 777 as the main type of long-range aircraft operated by airlines in the Russian Federation. The developed algorithm increases the flexibility of the route by increasing the radius of operation areas from en-route alternates and can be used in flight planning systems of airlines.

scholarly journals Long-Range Ferromagnetic Dipolar Ordering of High-Spin Molecular Clusters

2003 ◽  
Vol 90 (1) ◽  
Author(s):  
A. Morello ◽  
F. L. Mettes ◽  
F. Luis ◽  
J. F. Fernández ◽  
J. Krzystek ◽  
...  
Keyword(s):  
Long Range ◽  
High Spin ◽  
Molecular Clusters

An Ideal Spin Filter: Long-Range, High-Spin Selectivity in Chiral Helicoidal 3-Dimensional Metal Organic Frameworks

Nano Letters ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 8476-8482
Author(s):  
Uxua Huizi-Rayo ◽  
Junkal Gutierrez ◽  
Jose Manuel Seco ◽  
Vladimiro Mujica ◽  
Ismael Diez-Perez ◽  
...  
Keyword(s):  
Long Range ◽  
High Spin ◽  
Metal Organic Frameworks ◽  
Spin Filter ◽  
3 Dimensional ◽  
Metal Organic

scholarly journals Toward a syntactic phylogeny of modern Indo-European languages

2013 ◽  
Vol 3 (1) ◽  
pp. 122-152 ◽  
Author(s):  
Giuseppe Longobardi ◽  
Cristina Guardiano ◽  
Giuseppina Silvestri ◽  
Alessio Boattini ◽  
Andrea Ceolin
Keyword(s):  
Long Range ◽  
Horizontal Transmission ◽  
Comparison Method ◽  
Interference Effects ◽  
Historical Reconstruction ◽  
Objective Measurements ◽  
European Languages ◽  
Wide Range ◽  
The Impact ◽  
Selection Of

The Parametric Comparison Method (PCM, Guardiano & Longobardi 2005, Longobardi & Guardiano 2009) is grounded on the assumption that syntactic parameters are more appropriate than other traits for use as comparanda for historical reconstruction, because they are able to provide unambiguous correspondences and objective measurements, thus guaranteeing wide-range applicability and quantitative exactness. This article discusses a set of experiments explicitly designed to evaluate the impact of parametric syntax in representing historical relatedness, and performed on a selection of 26 contemporary Indo-European varieties. The results show that PCM is in fact able to correctly identify genealogical relations even from modern languages only, performing as accurately as lexical methods, and that its effectiveness is not limited by interference effects such as ‘horizontal’ transmission. PCM is thus validated as a powerful tool for the analysis of historical relationships not only on a long-range perspective (as suggested by Longobardi & Guardiano 2009), but even on more focused, though independently well-known domains.

LONG RANGE TIME SERIES FORECASTING BY UPSAMPLING AND USING CROSS-CORRELATION BASED SELECTION OF NEAREST NEIGHBOR

2006 ◽  
Vol 20 (08) ◽  
pp. 1261-1278 ◽  
Author(s):  
SYED RAHAT ABBAS ◽  
MUHAMMAD ARIF
Keyword(s):  
Time Series ◽  
Long Range ◽  
Euclidean Distance ◽  
Cross Correlation ◽  
Nearest Neighbor ◽  
Time Series Forecasting ◽  
Embedding Dimension ◽  
Auto Correlation Function ◽  
Original Time ◽  
Selection Of

Long range or multistep-ahead time series forecasting is an important issue in various fields of business, science and technology. In this paper, we have proposed a modified nearest neighbor based algorithm that can be used for long range time series forecasting. In the original time series, optimal selection of embedding dimension that can unfold the dynamics of the system is improved by using upsampling of the time series. Zeroth order cross-correlation and Euclidian distance criterion are used to select the nearest neighbor from up-sampled time series. Embedding dimension size and number of candidate vectors for nearest neighbor selection play an important role in forecasting. The size of embedding is optimized by using auto-correlation function (ACF) plot of the time series. It is observed that proposed algorithm outperforms the standard nearest neighbor algorithm. The cross-correlation based criteria shows better performance than Euclidean distance criteria.

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