Evolutionary Dynamics of Fearfulness and Boldness: A Stochastic Simulation Model

A stochastic simulation model is investigated for the evolution of anti-predator behavior in birds. The main goal is to reveal the effects of population size, predation threats, and energy lost per escape on the evolutionary dynamics of fearfulness and boldness. Two pure strategies, fearfulness and boldness, are assumed to have different responses for the predator attacks and nonlethal disturbance. On the other hand, the co-existence mechanism of fearfulness and boldness is also considered. For the effects of total population size, predation threats, and energy lost per escape, our main results show that: (i) the fearful (bold) individuals will be favored in a small (large) population, i.e. in a small (large) population, the fearfulness (boldness) can be considered to be an ESS; (ii) in a population with moderate size, fearfulness would be favored under moderate predator attacks; and (iii) although the total population size is the most important factor for the evolutionary dynamics of both fearful and bold individuals, the small energy lost per escape enables the fearful individuals to have the ability to win the advantage even in a relatively large population. Finally, we show also that the co-existence of fearful and bold individuals is possible when the competitive interactions between individuals are introduced

Construction of index system for external risk factors of disease on large-scale farm based on the analytic hierarchy process

AbstractAnimal health risk analysis technology on large-scale farm is becoming more important, but the assessment of relevant external risk factors of disease spreading into pig farm is an complex multi-dimensional process. The analytic hierarchy process (AHP) has been accepted as a robust and flexible multi-criteria decision-making tool for dealing with complex decision problems. On this study, The index system of external risk factors on large-scale farm is built based on AHP. The result shows that farm management practices, Biosecurity and site are major risk factors and reveals AHP can be used in animal risk analysis for disease control and prevention

Identification and target prediction of miRNAs specifically expressed in rat neural tissue

<p>Abstract</p> <p>Background</p> <p>MicroRNAs (miRNAs) are a large group of RNAs that play important roles in regulating gene expression and protein translation. Several studies have indicated that some miRNAs are specifically expressed in human, mouse and zebrafish tissues. For example, miR-1 and miR-133 are specifically expressed in muscles. Tissue-specific miRNAs may have particular functions. Although previous studies have reported the presence of human, mouse and zebrafish tissue-specific miRNAs, there have been no detailed reports of rat tissue-specific miRNAs. In this study, Home-made rat miRNA microarrays which established in our previous study were used to investigate rat neural tissue-specific miRNAs, and mapped their target genes in rat tissues. This study will provide information for the functional analysis of these miRNAs.</p> <p>Results</p> <p>In order to obtain as complete a picture of specific miRNA expression in rat neural tissues as possible, customized miRNA microarrays with 152 selected miRNAs from miRBase were used to detect miRNA expression in 14 rat tissues. After a general clustering analysis, 14 rat tissues could be clearly classified into neural and non-neural tissues based on the obtained expression profiles with p values < 0.05. The results indicated that the miRNA profiles were different in neural and non-neural tissues. In total, we found 30 miRNAs that were specifically expressed in neural tissues. For example, miR-199a was specifically expressed in neural tissues. Of these, the expression patterns of four miRNAs were comparable with those of Landgraf et al., Bak et al., and Kapsimani et al. Thirty neural tissue-specific miRNAs were chosen to predict target genes. A total of 1,475 target mRNA were predicted based on the intersection of three public databases, and target mRNA's pathway, function, and regulatory network analysis were performed. We focused on target enrichments of the dorsal root ganglion (DRG) and olfactory bulb. There were four Gene Ontology (GO) functions and five KEGG pathways significantly enriched in DRG. Only one GO function was significantly enriched in the olfactory bulb. These targets are all predictions and have not been experimentally validated.</p> <p>Conclusion</p> <p>Our work provides a global view of rat neural tissue-specific miRNA profiles and a target map of miRNAs, which is expected to contribute to future investigations of miRNA regulatory mechanisms in neural systems.</p

Testing Technicolor Models via Top Quark Pair Production in High Energy Photon Collisions

Pseudo-Goldstone boson contributions to $t\bar{t}$ production rates in technicolor models with and without topcolor at the $\sqrt{s}=0.5 and 1.5$ TeV photon colliders and hadron colliders are reviewed. For reasonable ranges of the parameters, the contributions are large enough to be experimentally observable. Models with topcolor, without topcolor and the MSSM with $\tan\beta\geq 1$ can be experimentally distinguished.Comment: Talk given by H.Y. Zhou at the III International Conference on Hyperons,Charm and Beauty Hadrons,Genova,Italy,June 30-July 3 199

Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments

Underlying many types of data analytics, a spatiotemporal quantile monitoring (SQM) query continuously returns the quantiles of a dataset observed in a spatiotemporal range. In this paper, we study SQM in an Internet of Things (IoT) based edge computing environment, where concurrent SQM queries share the same infrastructure asynchronously. To minimize query latency while providing result accuracy guarantees, we design a processing framework that virtualizes edge-resident data sketches for quantile computing. In the framework, a coordinator edge node manages edge sketches and synchronizes edge sketch processing and query executions. The co-ordinator also controls the processed data fractions of edge sketches, which helps to achieve the optimal latency with error-bounded results for each single query. To support concurrent queries, we employ a grid to decompose queries into subqueries and process them efficiently using shared edge sketches. We also devise a relaxation algorithm to converge to optimal latencies for those subqueries whose result errors are still bounded. We evaluate our proposals using two high-speed streaming datasets in a simulated IoT setting with edge nodes. The results show that our proposals achieve efficient, scalable, and error-bounded SQM

In vitro micro-propagation of Longiflorum-Asiatic (LA) hybrids lily (Lilium) cultivar ‘eyeliner’

Bulblets propagation by tissue culture was one of the key techniques in the production of lily (Lilium) bulbs. Therefore, in vitro micro propagation of lily bulblets was studied in detail in this paper. L A hybrids lily cultivar ‘eyeliner’ was selected as the materials. By using the method of orthogonal design, the following were concluded from the research: the optimum treatment and disinfection methods of ‘eyeliner’ bulb scales was soaking in 1:500 carbendazim solution for 30 min, disinfection in 75% alcohol for 10 to 60 s, disinfection in 2% NaClO solution for 15 min; the optimum medium for bud induction of ‘eyeliner’ was MS + 0.5 mg·L-1 6-benzyl aminopurine (6-BA) + 0.1 mg·L-1 naphlene acetic acid (NAA) + 90 g·L-1 sucrose, and 25°C and in darkness; the optimum medium for bulblets induction of ‘eyeliner’ was 2MS + 1.0 mg·L-1 6-BA + 0.5 mg·L-1 NAA + sucrose 90 g·L-1 + Paclobutrazol (PP333) 2 mg·L-1; the optimum culture condition for bulblets induction of ‘eyeliner’ was 20°C, 14 h·day-1 lightness + 10 h·day-1 darkness. The optimum medium for rooting culture of ‘eyeliner’ was ½ MS + 0.8 mg·L-1 NAA + 3 g·L-1 activated charcoal, 20°C, 14 h·day-1 lightness + 10 h·day-1 darkness.Keywords: Lily bulb, orthogonal experiment, in vitro micro propagatio