Bidirectional selection device characteristics of ultra-thin (<3nm) TiO2 layer for 3D vertically stackable ReRAM application

Author(s):  
Jiyong Woo ◽  
Jubong Park ◽  
Jungho Shin ◽  
Godeuni Choi ◽  
Seonghyun Kim ◽  
...  
2013 ◽  
Vol 32 (2) ◽  
pp. 59-68 ◽  
Author(s):  
Kouta SAKAGUCHI ◽  
Nobutaka FUNAOKA ◽  
Saori TANI ◽  
Aya HOBO ◽  
Tohru MITSUNAGA ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Wentao Zhao ◽  
Ping Dong ◽  
Min Guo ◽  
Yuyang Zhang ◽  
Xuehong Chen

In the scenario of mobile fog computing (MFC), communication between vehicles and fog layer, which is called vehicle-to-fog (V2F) communication, needs to use bandwidth resources as much as possible with low delay and high tolerance for errors. In order to adapt to these harsh scenarios, there are important technical challenges concerning the combination of network coding (NC) and multipath transmission to construct high-quality V2F communication for cloud-aware MFC. Most NC schemes exhibit poor reliability in burst errors that often occur in high-speed movement scenarios. These can be improved by using interleaving technology. However, most traditional interleaving schemes for multipath transmission are designed based on round robin (RR) or weighted round robin (WRR), in practice, which can waste a lot of bandwidth resources. In order to solve those problems, this paper proposes a novel multipath transmission scheme for cloud-aware MFC, which is called Bidirectional Selection Scheduling (BSS) scheme. Under the premise of realizing interleaving, since BSS can be used in conjunction with a lot of path scheduling algorithms based on Earliest Delivery Path First (EDPF), it can make better use of bandwidth resources. As a result, BSS has high reliability and bandwidth utilization in harsh scenarios. It can meet the high-quality requirements of cloud-aware MFC for transmission.


Insects ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 864
Author(s):  
Alvaro De la Mora ◽  
Berna Emsen ◽  
Nuria Morfin ◽  
Daniel Borges ◽  
Les Eccles ◽  
...  

After two years of bidirectional selection for low and high rates of Varroa destructor population growth (LVG and HVG, respectively) in honey bee (Apis mellifera) colonies in Ontario, Canada, significant differences between the two genotypes were observed. LVG colonies had V. destructor population increases over the summer of 1.7 fold compared to 9.6 fold for HVG colonies by Generation 2. Additionally, HVG colonies had significantly higher mite infestation rates in adult bees compared to LVG colonies for both selected generations. DWV prevalence and levels were significantly higher in HVG colonies than in LVG colonies in Generation 1 but not in Generation 2. Winter mortality rates of Generation 1 colonies were significantly different at 26% and 14% for the HVG and LVG genotypes, respectively. The results of this study thus far indicate that selection for LVG may result in colonies with lower V. destructor infestation rates, lower prevalence, and levels of DWV and higher colony winter survivorship. Future work will focus on determining what mechanisms are responsible for the genotypic differences, estimating genetic parameters, and molecular analyses of the genotypes to identify candidate genes associated with resistance to V. destructor and DWV that could potentially be used for marker-assisted selection.


2005 ◽  
Vol 1 (3) ◽  
pp. 283-286 ◽  
Author(s):  
Kamran Safi ◽  
Marc A Seid ◽  
Dina K.N Dechmann

Many studies assume that an increase in brain size is beneficial. However, the costs of producing and maintaining a brain are high, and we argue that brain size should be secondarily reduced by natural selection whenever the costs outweigh the benefits. Our results confirm this by showing that brain size is subject to bidirectional selection. Relative to the ancestral state, brain size in bats has been reduced in fast flyers, while it has increased in manoeuvrable flyers adapted to flight in complex habitats. This study emphasizes that brain reduction and enlargement are equally important, and they should both be considered when investigating brain size evolution.


2010 ◽  
Vol 12 (5) ◽  
pp. 428-436 ◽  
Author(s):  
Gro V. Amdam ◽  
Robert E. Page ◽  
M. Kim Fondrk ◽  
Colin S. Brent

Authorea ◽  
2020 ◽  
Author(s):  
Cl mentine Renneville ◽  
Alexis Millot ◽  
Simon Agostini ◽  
David Carmignac ◽  
Gersende Maugars ◽  
...  

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