Effective population sizes of eastern oyster Crassostrea virginica (Gmelin) populations in Delaware Bay, USA

Effective population size (Ne) is an important concept in population genetics as it dictates the rate of genetic change caused by drift. Ne estimates for many marine populations are small relative to the census population size. Small Ne in a large population may indicate high reproductive variance or sweepstakes reproductive success (SRS). The eastern oyster (Crassostrea virginica) may be prone to SRS due to its high fecundity and high larval mortality. To examine if SRS occurs in the eastern oyster, we studied Ne and genetic variation of oyster populations in Delaware Bay. Adult and spat oysters were collected from five locations in different years and genotyped with seven microsatellite markers. Slight genetic differences were revealed by Fst statistics between the adult populations and spat recruits, while the adult populations are spatially homogeneous and temporally stable. Comparisons of genetic diversity and relatedness among adult and spat samples failed to provide convincing evidence for strong SRS. Ne estimates obtained with five different methods were variable, small and often without upper confidence limits. For single sample collections, Ne estimates for spat (140–440) were consistently smaller than that for adults (589–2,779). Analysis of pooled adult samples across all sites suggests that Ne for the whole bay may be very large, as indicated by the large point estimates and the lack of upper confidence limits. These results suggest that Ne may be small for a given spat fall, but the entire adult population may have large Ne and is temporally stable as it is the accumulation of many spat falls per year over many year

Constraining the interacting dark energy models from weak gravity conjecture and recent observations

We examine the effectiveness of the weak gravity conjecture in constraining the dark energy by comparing with observations. For general dark energy models with plausible phenomenological interactions between dark sectors, we find that although the weak gravity conjecture can constrain the dark energy, the constraint is looser than that from the observations.Comment: 14 pages, 12 figures, revtex4, v2: minor corrections, accepted for publication in PL

Preimage Attacks on 4-round Keccak by Solving Multivariate Quadratic Systems

In this paper, we present preimage attacks on 4-round Keccak-224/256 as well as 4-round Keccak[$r = 640,c = 160,l = 80$] in the preimage challenges. We revisit the Crossbred algorithm for solving the Boolean multivariate quadratic (MQ) system, propose a new view for the case $D = 2$ and elaborate the computational complexity. The result shows that the Crossbred algorithm outperforms brute force theoretically and practically with feasible memory costs. In our attacks, we construct Boolean MQ systems in order to make full use of variables. With the help of solving MQ systems, we successfully improve preimage attacks on Keccak-224/256 reduced to 4 rounds. Moreover, we implement the preimage attack on 4-round Keccak[$r = 640,c = 160,l = 80$], an instance in the Keccak preimage challenges, and find 78-bit matched \textit{near preimages}. Due to the fundamental rule of solving MQ systems, the complexity elaboration of Crossbred algorithm is of independent interest

The oyster genome reveals stress adaptation and complexity of shell formation

The Pacific oyster Crassostrea gigas belongs to one of the most species-rich but genomically poorly explored phyla, the Mollusca. Here we report the sequencing and assembly of the oyster genome using short reads and a fosmid-pooling strategy, along with transcriptomes of development and stress response and the proteome of the shell. The oyster genome is highly polymorphic and rich in repetitive sequences, with some transposable elements still actively shaping variation. Transcriptome studies reveal an extensive set of genes responding to environmental stress. The expansion of genes coding for heat shock protein 70 and inhibitors of apoptosis is probably central to the oyster's adaptation to sessile life in the highly stressful intertidal zone. Our analyses also show that shell formation in molluscs is more complex than currently understood and involves extensive participation of cells and their exosomes. The oyster genome sequence fills a void in our understanding of the Lophotrochozoa. © 2012 Macmillan Publishers Limited. All rights reserved

Drying Stress Relaxation of Wood Subjected to Microwave Radiation

An effective and rapid drying stress relieving technique was developed using microwave conditioning. The process was analyzed by measuring the stress factor and moisture content gradient through the thickness of the board. The experiments showed that the drying quality of E. urophylla x E. tereticornis was improved after microwave conditioning during the wood drying process. The drying stress relaxation increased with the duration of the microwave radiation. Stress and moisture content gradient through the thickness of the board were compared and are discussed in this report

Global Optimal Energy Management Strategy Research for a Plug-In Series-Parallel Hybrid Electric Bus by Using Dynamic Programming

Energy management strategy influences the power performance and fuel economy of plug-in hybrid electric vehicles greatly. To explore the fuel-saving potential of a plug-in hybrid electric bus (PHEB), this paper searched the global optimal energy management strategy using dynamic programming (DP) algorithm. Firstly, the simplified backward model of the PHEB was built which is necessary for DP algorithm. Then the torque and speed of engine and the torque of motor were selected as the control variables, and the battery state of charge (SOC) was selected as the state variables. The DP solution procedure was listed, and the way was presented to find all possible control variables at every state of each stage in detail. Finally, the appropriate SOC increment is determined after quantizing the state variables, and then the optimal control of long driving distance of a specific driving cycle is replaced with the optimal control of one driving cycle, which reduces the computational time significantly and keeps the precision at the same time. The simulation results show that the fuel economy of the PEHB with the optimal energy management strategy is improved by 53.7% compared with that of the conventional bus, which can be a benchmark for the assessment of other control strategies

Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles

To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a plug-in hybrid bus powertrain is introduced and its dynamic control model is constructed. The numerical issues, including the discretization resolution of the relevant variables and the boundary issue of their feasible regions, were considered when implementing DP to solve the optimal control problem of PHEVs. The tradeoff between the optimization accuracy when using the DP algorithm and the computational burden was systematically investigated. As a result of overcoming the numerical issues, the DP-based approach has the potential to improve the fuel-savings potential of PHEVs. The results from comparing the DP-based strategy and the traditional control strategy indicate that there is an approximately 20% improvement in fuel economy