KETOPROFEN-LOADED EUDRAGIT ELECTROSPUN NANOFIBERS FOR THE TREATMENT OF ORAL MUCOSITIS


A Remote Sensing Target Detection Model Based on Lightweight Feature Enhancement and Feature Refinement Extraction

Remote sensing image (RSI) target detection methods based on traditional multiscale feature fusion (MSFF) have achieved great success.However, the traditional MSFF method significantly increases the computational cost during model training and inference, and the simple fusion operation may lead to the semantic confusion of the feature Collections m

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Determinants of urban environmental quality in Morocco: The roles of energy consumption, urbanization, manufacturing, and financial development in achieving SDG 13

Studies on urban environmental quality are evolving emphasizing the need for policy response concerning the enactment of environmental regulations to attain sustainable development goals (SDGs), mainly target 13.Over the years, the concerns to improve urban environmental quality especially managing noise, air quality, water, sanitation, and waste h

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The yeast Wickerhamomyces anomalus acts as a predator of the olive anthracnose-causing fungi, Colletotrichum nymphaeae, C. godetiae, and C. gloeosporioides

Olive tree anthracnose is caused by infection with Colletotrichum fungi, which in Portugal are mostly C.nymphaeae, C.godetiae, and C.gloeosporioides s.s.Severe economic losses are caused by this disease that would benefit from a greener and more efficient alternative to the present agrochemical methods.Yeasts are serious candidates for pre-harvest/

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A Collision Avoidance Method Based on Deep Reinforcement Learning

This paper set out to investigate the usefulness of solving collision avoidance problems with the help of deep reinforcement learning in an unknown environment, especially in compact spaces, such as a narrow corridor.This research aims to determine whether a deep reinforcement learning-based collision avoidance method is superior to the traditional

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