The Holt and Laury (2002) task is arguably the most widely employed method for eliciting individual risk attitudes in economics. However, although around 15% of standard experimental subjects fail to complete the task consistently, this fraction increases to an alarming 60-70% in the case of...

Many governments struggle with how to efficiently, effectively, and equitably allocate medical supplies and equipment. Medical supplies and equipment can be expensive and prone to mismatches in use, context, and the level of expertise needed to operate them. Optimizing allocation is particularly...

Artificial Intelligence (AI) and Machine learning (ML) represents an important evolution in computer science and data processing systems which can be used in order to enhance almost every technology-enabled service, products, and industrial applications. A subfield of artificial intelligence and...

We test the efficient market hypothesis by using machine learning to forecast future stock returns from historical performance. These forecasts strongly predict the cross section of future stock returns. The predictive power holds in most subperiods, is strong among the largest 500 stocks, and...

Purpose: The purpose of this research is to develop an optimization model of CNC turning process. The objective function of the model is to minimize processing time and carbon emission. We implemented the results of optimization with real machining application using a certain workpiece....

Due to changes in individual demand, manufacturing processes have become more complex and dynamic. To cope with respective fluctuations as well as machine breakdowns, capacity adjustment is one of the major effective measures. Instead of labor-oriented methods, we propose a machinery-based...

The current paper aimed to investigate the reasons for the technological and competitive heterogeneity in the machine tool industry in Brazil. By analyzing the trajectory of the sector, we can highlight three main reasons for such heterogeneity. First, due to the competitive framework that...