2-Acetyl-1-pyrroline (2-AP) was identified as an important aroma compound of aromatic vegetable soybean. The level of 2-AP in 6 aromatic vegetable soybean lines was found to be positively correlated with popcorn-like aroma score. Comparison between aromatic and nonaromatic vegetable soybeans found that aromatic vegetable soybean contains higher concentration of methylglyoxal (MG) and Delta(1)-pyrroline-5-carboxylate (P5C) than a nonaromatic one. For MG formation-related genes, GapC was down-regulated and TPI was up-regulated in aromatic cultivar (Aromatic 7) as compared to nonaromatic control, which may contribute to the increase of MG level. Based on the data presented, a formation mechanism for 2-AP via interaction between MG and P5C in aromatic vegetable soybean was proposed.
² With the growing popularity of cellular phones, using cellular signaling data to collect traffic information has become an attractive technique to replace VDs (Vehicle Detectors). However, most previous studies have focused on GSM network instead of the ongoing UMTS due to some special properties in UMTS. In this paper, a passive framework with multiple handover pattern exploring and traffic information estimating strategy is proposed to fit characteristics of UMTS signaling data. Experiments from real-time UMTS signals result in a mean relative error around 14% to the information collected from VDs.
The existing monotonic decision tree algorithms are based on a linearly ordered constraint that certain attributes are monotonously consistent with the decision, which could be called monotonic attributes, whereas others, called non-monotonic attributes. In practice, monotonic and non-monotonic attributes coexist in most classification tasks, and some attribute values are even evaluated as interval numbers. In this paper, we proposed a fuzzy rank-inconsistent rate based on probability degree to judge the monotonicity of interval numbers. Furthermore, we devised a hybrid model composed of monotonic and non-monotonic attributes to construct a mixed monotone decision tree for interval-valued data. Experiments on artificial and real-world data sets show that the proposed hybrid model is effective.
Keywords Decision trees• Monotonic attributes • Non-monotonic attributes • Fuzzy rank-inconsistent rate • A hybrid model • Interval values
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.