In light of the dual challenges posed by climate change and the burgeoning global population, which are putting food security at risk, there is an urgent need to develop sustainable agricultural innovations.These innovations must be capable of increasing crop productivity and maintaining soil health, reducing our dependence on synthetic agrochemica
Wind and solar energy play a pivotal role in deep decarbonization pathways for the future.However, energy scenario studies differ substantially in the contribution of these technologies, as the technology selection in models strongly depends on the choice of techno-economic parameters.In this article, we systematically compare the cost assumptions
In the field of metallurgy, the timely and accurate detection of surface defects on metallic materials is a crucial quality control task.However, current defect detection approaches face challenges with large model parameters and low detection rates.To address these issues, this paper proposes a lightweight recognition model for surface damage Moto
Abstract Addictive disorders are a severe health concern.Conventional therapies have just moderate success and the probability of relapse after treatment remains high.Brain stimulation techniques, such as transcranial Direct Current Stimulation (tDCS) and Deep Brain Stimulation (DBS), have been shown to be effective in reducing subjectively rated s