The fungus Lecanicillium lecanii attacks the green scale (Coccus Wall Shelf viridis), a pest of coffee, and is also a hyperparasite of coffee rust (Hemileia vastatrix).Knowledge of the epizootiology of this fungus is potentially important for conservation biological control in coffee agroecosystems.The presence of viable propagules of L.lecanii in
COVID-19 CXR Classification: Applying Domain Extension Transfer Learning and Deep Learning
The infectious coronavirus disease-19 (COVID-19) is a viral disease that affects the lungs, which caused great havoc when the epidemic rapidly spread around the world.Polymerase chain reaction (PCR) tests are conducted to screen for COVID-19 and respond to quarantine measures.However, PCR tests take Wall Shelf a considerable amount of time to confi
Affective and cognitive prefrontal cortex projections to the lateral habenula in humans.
Anterior insula (AI) and dorsal ACC (dACC) are known to process information about pain, loss, adversities, bad, harmful or suboptimal choices and consequences that threaten survival or well-being.Also pregenual ACC (pgACC) is linked to loss and pain, being activated by sad thoughts and regrets.Lateral habenula (LHb) is stimulated by predicted and r
Numerical simulation study of lower hybrid wave scattering full-wave solution in scrap-off layer
BackgroundLower hybrid current drive (LHCD) is one of the main auxiliary heating and current driving methods for Tokamak, and studies have shown that the boundary parasitics effect of lower hybrid (LH) wave in scrap-off layer (SOL) significantly decreases current drive efficiency of LH wave.Among these, wave scattering caused by density fluctuation
A Hybrid-Surrogate-Calibration-Assisted Multi-Fidelity Modeling Approach and Its Application in Strength Prediction for Underwater Gliders
Multi-fidelity surrogate-based methods play an important role in modern engineering design applications, aiming to improve model accuracy while reducing computational cost.One of the HOSIERY widely adopted approaches is the calibration-based method, which calibrates the low-fidelity model through a discrepancy model between low-fidelity and high-fi