Search for Fast Time Fluctuations in Cygnus-X1 and Herculis-X1

1981 ◽  
pp. 385-388
Author(s):  
S. Bonazzola
Keyword(s):  
2020 ◽  
Vol 17 (1) ◽  
pp. 118-128
Author(s):  
Xingwei Wang ◽  
Ting Zhou ◽  
Tianheng Xu ◽  
Songlin Feng ◽  
Honglin Hu ◽  
...  

Author(s):  
Justin V. Montoya ◽  
Robert D. Windhorst ◽  
Steve Stroiney ◽  
Katy Griffin ◽  
Aditya Saraf ◽  
...  
Keyword(s):  

2004 ◽  
Author(s):  
Eric Michielsssen ◽  
Weng C. Chew ◽  
Jianming Jin ◽  
Balasubramaniam Shanker

Author(s):  
Zhifan Zhu ◽  
Hanbong Lee ◽  
Vaishali A. Hosagrahara ◽  
Yoon C. Jung
Keyword(s):  

Aerospace ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Malik Doole ◽  
Joost Ellerbroek ◽  
Victor L. Knoop ◽  
Jacco M. Hoekstra

Large-scale adoption of drone-based delivery in urban areas promise societal benefits with respect to emissions and on-ground traffic congestion, as well as potential cost savings for drone-based logistic companies. However, for this to materialise, the ability of accommodating high volumes of drone traffic in an urban airspace is one of the biggest challenges. For unconstrained airspace, it has been shown that traffic alignment and segmentation can be used to mitigate conflict probability. The current study investigates the application of these principles to a highly constrained airspace. We propose two urban airspace concepts, applying road-based analogies of two-way and one-way streets by imposing horizontal structure. Both of the airspace concepts employ heading-altitude rules to vertically segment cruising traffic according to their travel direction. These airspace configurations also feature transition altitudes to accommodate turning flights that need to decrease the flight speed in order to make safe turns at intersections. While using fast-time simulation experiments, the performance of these airspace concepts is compared and evaluated for multiple traffic demand densities in terms of safety, stability, and efficiency. The results reveal that an effective way to structure drone traffic in a constrained urban area is to have vertically segmented altitude layers with respect to travel direction as well as horizontal constraints imposed to the flow of traffic. The study also makes recommendations for areas of future research, which are aimed at supporting dynamic traffic demand patterns.


2001 ◽  
Vol 7 (S2) ◽  
pp. 34-35
Author(s):  
Derek Toomre ◽  
Patrick Keller ◽  
Elena Diaz ◽  
Jamie White ◽  
Kai Simons

Post-Golgi sorting of different classes of newly synthesized proteins and lipids is central to the generation and maintenance of cellular polarity. to directly visualize the dynamics and location of apical/basolateral sorting and trafficking we used fast time-lapse multicolor video microscopy in living cells. Specifically, green fluorescent protein color variants (cyan, CFP; yellow, YFP) of apical cargo (GPI-anchored) and basolateral cargo (vesicular stomatitis virus glycoprotein, VSVG) were generated; see FIG 1. Fast dual color fluorescence video microscopy allowed visualization with high temporal and spatial resolution. Our studies revealed that apical and basolateral cargo progressively segregated into large domains in Golgi/TGN structures, excluded resident proteins, and exited in separate transport containers. These carries remained distinct and did not merge with endocytic structures en route to the plasma membrane. Interestingly, our data suggest that the primary sorting occurs by lateral segregation in the Golgi, prior to budding (FIG 2). Further characterization of morphological differences of apical versus basolateral transport carriers was achieved using a specialized microscopy technique called total internal reflection (TIR) microscopy. with this approach only the bottom of the cell (<100 nm) was illuminated by an exponentially decaying evanescent “wave” of light. A series of images, taken at ∼1 second intervals, shows a bright “flash” of fluorescence when the vesicle fuse with the plasma membrane and the fluorophore diffuses into the plasma membrane (FIG 3).


2020 ◽  
Author(s):  
L. I. Shekhtman ◽  
A. S. Arakcheev ◽  
V. M. Aulchenko ◽  
V. N. Kudryavtsev ◽  
V. D. Kutovenko ◽  
...  
Keyword(s):  

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