Machine learning and design of experiments with an application to product innovation in the chemical industry

Industrial statistics plays a major role in the areas of both quality management and innovation. However, existing methodologies must be integrated with the latest tools from the field of Artificial Intelligence. To this end, a background on the joint application of Design of Experiments (DOE) and Machine Learning (ML) methodologies in industrial settings is presented here, along with a case study from the chemical industry. A DOE study is used to collect data, and two ML models are applied to predict responses which performance show an advantage over the traditional modeling approach. Emphasis is placed on causal investigation and quantification of prediction uncertainty, as these are crucial for an assessment of the goodness and robustness of the models developed. Within the scope of the case study, the models learned can be implemented in a semi-automatic system that can assist practitioners who are inexperienced in data analysis in the process of new product development.     

The scorpions of the urban habitat of Rome (Italy)

A review of the scorpions (three species of the genus Euscorpius, family Chactidae) found in the urban habitat of Rome, Central Italy, together with an analysis of the factors which affect their distribution and abundance in the town, is pointed out. It appears that Euscorpius carpathicus, a species commonly found on limestone terrains in Latium, is frequent, though not particularly abundant, in the urban area of the city especially along the course of the Tiber River. It appears that Euscorpius flavicaudis, a species commonly found on volcanic terrains in Latium and the most common terrains in and around the area of Rome, is the most common species in both the urban and suburban areas of the city. It appears that Euscorpius italicus, a species common in north and northeastern Latium, is represented, in the sample of the scorpions of the city, by a single, possibly aberrant, specimen.