PREDICTIVE TOXICOLOGY: MODELING CHEMICAL INDUCED TOXICOLOGICAL RESPONSE COMBINING CIRCULAR FINGERPRINTS WITH RANDOM FOREST AND SUPPORT VECTOR MACHINE

Modern drug discovery and toxicological research are under pressure, as the cost of developing and testing new chemicals for potential toxicological risk is rising.Extensive evaluation of chemical products for potential adverse effects is a challenging task, due to the large number of chemicals and the possible hazardous effects on human health.Saf

Mechanical ventilation is an important way to maintain the temperature and moisture of grain piles in the warehouse within the safe storage range, which is closely related to Party Games grain storage safety and the benefits of storage enterprises.In order to solve the disadvantages of the slow advancing speed of the inlet air in the vertical direc

Abstract Introduction Medical settings are critical access points for behavior change counseling, and lifestyle behavior change is considered a key component of chronic disease management.The Association of American Medical Colleges recommends that future physicians be competent in shared decision making and patient-centered behavioral guidance to

The model with polytopic parametric uncertainty and bounded disturbance is controlled by the approach named dynamic OFRMPC (Output Feedback Robust Model Predictive Control).A key knob for control performance and region of attraction for this approach is the selection of Lyapunov matrix.A Lyapunov matrix, which does not have structural restriction,

As an abundant natural resource in Asia, bamboo is receiving increased attention as an engineering material due to its renewability and excellent strength.The parallel-to-grain compression and shearing properties here of moso bamboo culm were examined.The growth characteristics (bamboo age, nodes, and location along the culm), as well as treatments