Self-signaling models predict less selfish behavior in a probabilistic giving setting as individuals are expected to invest pro-social identity. However, there is also substantial evidence that people tend exploit situational excuses for choices (for instance, uncertainty) and behave more selfishly. We contrast these two motivations (identity management self-deception) experimentally order test...

This short paper deals with parallel scientific applications using non-blocking and periodic coordinated checkpointing to enforce resilience. We provide a model and detailed formulas for total execution time and consumed energy. We characterize the optimal period for both objectives, and we assess the range of time/energy trade-offs to be made by instantiating the model with a set of realistic ...

This study aims at identifying when an event written in text occurs. In particular, we classify a sentence for an event into four time-slots; morning, daytime, evening, and night. To realize our goal, we focus on expressions associated with time-slot (time-associated words). However, listing up all the time-associated words is impractical, because there are numerous time-associated expressions....

Period detection from time series is an important problem with many real-world applications such as weather forecast, stock market predictions, electrocardiogram analysis, periodic disease outbreak. In this work, we present a novel approximate period detection method for time series. The simplicity of our algorithm and its adaptability for high dimensional datasets using renowned tools and tech...

This paper presents an optical fiber gas sensor based on sandwiched long-period fiber grating (SLPFG) that is fabricated via the microelectromechanical systems (MEMS) process and coated with amino silica adsorbent for carbon dioxide (CO2) gas sensing. The amine-modified nanoporous silica foams were coated onto the SLPFG for CO2 adsorption. To characterize the CO2 adsorption of the SLPFG sensor,...