Precipitation nowcasting is a crucial element in current weather service systems.Data-driven methods have proven highly advantageous, due to their flexibility in utilizing detailed initial hydrometeor observations, and their capability to approximate meteorological dynamics effectively given sufficient training data.However, current data-driven met
The Use of Skim Milk and Essential Fatty Acids as an Alternative Method on Improving Yoghurt Nutrition Quality
The objective of the research was to investigate the effects of addition of different levels lemuru seafish oil on skim milk-based yoghurt in order to produce good quality and marketable yoghurt.The experiment consisted of lemuru seafish oil fractination based on its freesing point and the addition of extracted lemuru seafish oil to skim milk-based
Multi-Agent System for Emulating Personality Traits Using Deep Reinforcement Learning
Conventional personality assessment methods depend on subjective input, while game-based AI predictive methods offer a dynamic and objective framework.However, training these models requires large and labeled datasets, which are challenging to obtain from real players with diverse Soda personality traits.In this paper, we propose a multi-agent syst
New techniques and methods in the study of the invasion, cell migration and MMPs activity in vitro and in animal models
Background & Objective: Cancer metastasis is the primary cause of cancer morbidity and mortality, it accounts for about 90% of cancer deaths.Cancer treatment has improved significantly, due to early detection and inhibition of cancer growth.The ability to invade and migrate is important in malignant tumor cells.The study of cell migration is valuab