In relativistic heavy-ion collisions, the light nuclei production is sensitive to the baryon density fluctuations and can be used to probe the QCD phase transition. Based on the coalescence production of light nuclei, we can extract the neutron density fluctuation from the yield ratio of proton (p), deuteron (d) and triton (t), Np × Nt/N 2 d . In this work, we studied the production of proton, deuteron, triton in Au+Au collisions at √200 GeV from a transport model (JAM model). We presented the energy dependence of rapidity density dN/dy, particle ratios (d/p, t/p, and t/d), and the yield ratio of Np × Nt/N 2 d . We found the energy dependence of the yield ratio is flat and cannot describe the non-monotonic trend observed by STAR experiment. This study can be used as a baseline to search for the QCD critical point and/or first order phase transition with light nuclei production in heavy-ion collisions.

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Big consumer data promises to be a game changer in applied and empirical marketing research. However, investigations of how big data helps inform consumers’ psychological aspects have, thus far, only received scant attention. Psychographics has been shown to be a valuable market segmentation path in understanding consumer preferences. Although in the context of e-commerce, as a component of psychographic segmentation, personality has been proven to be effective for prediction of e-commerce user preferences, it still remains unclear whether psychographic segmentation is practically influential in understanding user preferences across different product categories. To the best of our knowledge, we provide the first quantitative demonstration of the promising effect and relative importance of psychographic segmentation in predicting users’ online purchasing preferences across different product categories in e-commerce by using a data-driven approach. We first construct two online psychographic lexicons that include the Big Five Factor (BFF) personality traits and Schwartz Value Survey (SVS) using natural language processing (NLP) methods that are based on behavior measurements of users’ word use. We then incorporate the lexicons in a deep neural network (DNN)-based recommender system to predict users’ online purchasing preferences considering the new progress in segmentation-based user preference prediction methods. Overall, segmenting consumers into heterogeneous groups surprisingly does not demonstrate a significant improvement in understanding consumer preferences. Psychographic variables (both BFF and SVS) significantly improve the explanatory power of e-consumer preferences, whereas the improvement in prediction power is not significant. The SVS tends to outperform BFF segmentation, except for some product categories. Additionally, the DNN significantly outperforms previous methods. An e-commerce-oriented SVS measurement and segmentation approach that integrates both BFF and the SVS is recommended. The strong empirical evidence provides both practical guidance for e-commerce product development, marketing and recommendations, and a methodological reference for big data-driven marketing research.

Economical approach: The first organocatalytic asymmetric intramolecular hydroarylation of phenol- and aniline-derived enals offers one of the most straightforward and atom-economic approaches to enantioriched chromans and tetrahydroquinolines (up to 96% ee; see scheme).

Proton number fluctuation is sensitive observable to search for the QCD critical point in heavy-ion collisions. To estimate the non-critical contributions, we studied the effects of weak decay and hadronic scattering on proton number fluctuation and its correlation functions in Au+Au collisions at s NN = 5 GeV from a microscopic hadronic transport model (JAM). The JAM model calculation is also performed with different equation of states (EoS), which are cascade, mean field and attractive scattering orbit mode. The attractive scattering orbit mode is to simulate the softening of EoS in a first-order phase transition. In our study, we found that the effects of weak decay and hadronic scattering on the observables are small. This work can serve as a study for non-critical baseline for further QCD critical point search.