Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment.

With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations. In accordance with these efforts, numerous institutions have developed single-scenario pools that reflect a variety of road and traffic characteristics and ADS performances. However, a single scenario has limitations in comprehensively evaluating the performance of complex ADS.

Gas chromatography-mass spectrometry based metabolic profiling for the identification of discrimination markers of Angelicae Radix and its application to gas chromatography-flame ionization detector system.

Gas chromatography (GC)-based metabolomics technologies were applied for quality control of Angelicae Radix, an herbal medicine commonly used in Japan and China. Since Angelica roots are priced and graded differently based on their species and cultivation area, there is a need for a simple and reproducible method to discriminate Angelica roots. Here, we used GC-MS profiling data to construct a discrimination method for species and cultivation area of A.

Metabolic profiling and identification of the genetic varieties and agricultural origin of Cnidium officinale and Ligusticum chuanxiong.

Quality control methods for Cnidium officinale and Ligusticum chuanxiong are lacking because their quality is influenced by multiple factors. Thus, there is a need to develop a multifactorial method for measuring quality that is both standardized and practical. Here, we report a profiling method based on gas chromatography-mass spectrometry (GC-MS) to discriminate among the genetic varieties and agricultural origins of C.