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Background: The recent trend of pharmaceutical companies commercializing new objects as new drugs based on the findings of academic medical researchers, commonly categorizing them as “academic drug discovery” is increasingly gaining popularity in the pharmaceutical industry. Studies state that academic researchers based in universities have lower motivation to apply for patents. However, none of the studies evaluated the existence and extent of the “motivation for patent” in academic researchers, being lower than that of pharmaceutical companies. This study assesses two hypotheses; H1...

Scientists are developing data assimilation methods for Numerical Weather Prediction models that will increase the quality of initialization data from satellites. The Observing System Simulation Experiment (OSSE) is designed to use data assimilation to investigate the potential impact of future atmospheric observing systems. Traditional OSSE processes require significant effort to compute, simulate, and calibrate information, then assimilate the data to produce a forecast. Therefore, model meteorologists are working to make this process more efficient.

ABSTRACT: Rock mechanical properties (e.g., uniaxial compressive strength or UCS, Young’s modulus, and Poisson’s ratio) are important input parameters for geotechnical assessment and excavation designs. Two common methods used to obtain these parameters are laboratory testing and geophysical logging. The former delivers probably the most reliable results, but can be costly and time-consuming and for a lot of the time it is challenging to source sufficient samples. Alternative ways to better predict rock mechanical properties are needed. In this case study, the XGBoost machine learning algo...