scholarly journals Warm‐night temperature alters paternal allocation strategy in a North temperate‐zone butterfly

2021 ◽  
Author(s):  
Elena Rosa ◽  
Marjo Saastamoinen
Keyword(s):  
Temperate Zone ◽  
Allocation Strategy ◽  
Night Temperature ◽  
Warm Night

Warm-night temperature delays spike emergence and alters carbon pool metabolism in the stem and leaves of Phalaenopsis aphroide

2013 ◽  
Vol 161 ◽  
pp. 198-203 ◽  
Author(s):  
Y.C. Liu ◽  
K.M. Tseng ◽  
C.C. Chen ◽  
Y.T. Tsai ◽  
C.H. Liu ◽  
...  
Keyword(s):  
Carbon Pool ◽  
Night Temperature ◽  
Warm Night

Warm-Night Temperature Delays Spike Emergence and Alters Carbon Pool Metabolism in the Stem and Leaves of Phalaenopsis aphrodite

2017 ◽  
pp. 109-121
Author(s):  
Yo-Ching Liu ◽  
Kai-Meng Tseng ◽  
Ching-Chia Chen ◽  
Yun-Tai Tsai ◽  
Cheng-Huan Liu ◽  
...  
Keyword(s):  
Carbon Pool ◽  
Night Temperature ◽  
Warm Night ◽  
Phalaenopsis Aphrodite

Multi-Dimensional Asset Allocation Strategy with DA-RNN

2019 ◽  
Author(s):  
Tae Young Lee
Keyword(s):  
Asset Allocation ◽  
Allocation Strategy

A Defense Mechanism Based on Improved Allocation Strategy of VMs Co-Resident Attack in Power Cloud Platform

2020 ◽  
Vol 13 ◽  
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Daoxing Li ◽  
Jing Zeng
Keyword(s):  
Virtual Machine ◽  
Simulation Experiment ◽  
Virtual Machines ◽  
Defense Mechanism ◽  
Security Threats ◽  
Allocation Strategy ◽  
Cloud Platform ◽  
Deployment Strategy ◽  
Dbscan Algorithm ◽  
Maximum Minimum

Background: Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform. Objective: This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform. Method: Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines. Results: we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy. Conclusion: After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.

Influence of Day and Night Temperature on Soybean Seed Yield

Crop Science ◽  
1996 ◽  
Vol 36 (1) ◽  
pp. 98-104 ◽  
Author(s):  
L. R. Gibson ◽  
R. E. Mullen
Keyword(s):  
Seed Yield ◽  
Soybean Seed ◽  
Night Temperature

scholarly journals OPTIMAL CONTROL OF THE DECUMULATION OF A RETIREMENT PORTFOLIO WITH VARIABLE SPENDING AND DYNAMIC ASSET ALLOCATION

2021 ◽  
pp. 1-34
Author(s):  
Peter A. Forsyth ◽  
Kenneth R. Vetzal ◽  
Graham Westmacott
Keyword(s):  
Asset Allocation ◽  
Asset Returns ◽  
Retirement Savings ◽  
Allocation Strategy ◽  
Investment Portfolio ◽  
Dynamic Asset Allocation ◽  
Dynamic Strategy ◽  
Prior Literature ◽  
Weighted Combination ◽  
Over Time

Abstract We extend the Annually Recalculated Virtual Annuity (ARVA) spending rule for retirement savings decumulation (Waring and Siegel (2015) Financial Analysts Journal, 71(1), 91–107) to include a cap and a floor on withdrawals. With a minimum withdrawal constraint, the ARVA strategy runs the risk of depleting the investment portfolio. We determine the dynamic asset allocation strategy which maximizes a weighted combination of expected total withdrawals (EW) and expected shortfall (ES), defined as the average of the worst 5% of the outcomes of real terminal wealth. We compare the performance of our dynamic strategy to simpler alternatives which maintain constant asset allocation weights over time accompanied by either our same modified ARVA spending rule or withdrawals that are constant over time in real terms. Tests are carried out using both a parametric model of historical asset returns as well as bootstrap resampling of historical data. Consistent with previous literature that has used different measures of reward and risk than EW and ES, we find that allowing some variability in withdrawals leads to large improvements in efficiency. However, unlike the prior literature, we also demonstrate that further significant enhancements are possible through incorporating a dynamic asset allocation strategy rather than simply keeping asset allocation weights constant throughout retirement.

A Fast Power Allocation Strategy for Multibeam Tracking Multiple Targets in Clutter

2021 ◽  
pp. 1-9
Author(s):  
Haowei Zhang ◽  
Hao Zhou ◽  
Binfeng Zong ◽  
Junwei X.
Keyword(s):  
Power Allocation ◽  
Allocation Strategy ◽  
Multiple Targets ◽  
Fast Power
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