The enhanced geothermal system (EGS) is the key to improving heat production efficiency of hot dry rock (HDR). Due existence EGS, reservoir produces significant heterogeneity, so optimal design well location and injection rate has an important influence on recovery effect EGS. To solve this problem, a calculation model for output EGS under multifield coupling established in paper, different sca...

Vegetation phenology regulates many ecosystem processes and is an indicator of the biological responses to climate change. It is important to model the timing of leaf senescence accurately, since the canopy duration and carbon assimilation are strongly determined by the timings of leaf senescence. However, the existing phenology models are unlikely to accurately predict the end of the growing s...

This study looks at the role that social factors play in a consumer’s decision to purchase goods or services online. Of particular consideration to this research is the Australian electronic grocery shopping (EGS) industry. Social factors have been found to play a part in technology adoption studies. This research looks at EGS as a technological innovation, and attempts to assess the priorities...

A century ago, Charles S. Peirce proposed a logical approach to modalities that came close to possible-worlds semantics. This paper investigates his views on modalities through his diagrammatic logic of Existential Graphs (EGs). The contribution of the gamma part of EGs to the study of modalities is examined. Some ramifications of Peirce’s remarks are presented and placed into a contemporary pe...

Monte Carlo Event Generators (EGs) have developed into essential tools in High Energy Physics. Without them it is questionable if it at all would be possible to embark on large scale experiments such as the LHC. Although the current EGs work satisfactorily, the next generation of experiments will substantially increase the demands both on the physics models implemented in the EGs and on the und...

Accurate and efficient detection of sleep spindles is a methodological challenge. The present study describes a method of using non-experts for manual detection of sleep spindles. We recruited five experts and 168 non-experts to manually identify spindles in stage N2 and stage N3 sleep data using a MATLAB interface. Scorers classified each spindle into definite and indefinite spindle (with weig...

Based on a review of the Enhanced Geothermal Systems (EGS) developed to date, numerical simulation of idealized EGS reservoirs, economic sensitivity analysis, and practical considerations of certain site characteristics, this paper shows that certain steps can be taken towards optimizing the economics of an EGS project: These steps, in decreasing order of their importance, are as follows: (a) r...

This paper describes a constraint transformation approach to automatic example generation and its implementation. In this approach examples are generated as the result of successive transformations of the constraint formulas. Such transformations are carried out based on various forms of knowledge. Systematic global simplification, largely based on declarative knowledge, mitigates the impact of...

External guide sequences (EGSs) are small RNA molecules which consist of a sequence complementary to a target mRNA and render the target RNA susceptible to degradation by ribonuclease P (RNase P). EGSs were designed to target the mRNA encoding thymidine kinase (TK) of herpes simplex virus 1 for degradation. These EGSs were shown to be able to direct human RNase P to cleave the TK mRNA sequence ...

In a model selection procedure where many models are to be compared, computational efficiency is critical. For acyclic digraph (ADG) Markov models (aka DAG models or Bayesian networks), each ADG Markov equivalence class can be represented by a unique chain graph, called an essential graph (EG). This parsimonious representation might be used to facilitate selection among ADG models. Because EGs ...