SA1D-CNN: A SEPARABLE AND ATTENTION BASED LIGHTWEIGHT SENSOR FAULT DIAGNOSIS METHOD FOR SOLAR INSECTICIDAL LAMP INTERNET OF THINGS

SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things

Sensor faults can produce abnormal and spurious observations in the solar insecticidal lamp Internet of Things (SIL-IoTs) system.Early detection and identification of the sensor node’s abnormality are critical to ensure the SIL-IoTs system’s reliability.In this study, we propose a lightweight walking Stick separable 1D convolution neu

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A novel small molecule inhibitor of influenza A viruses that targets polymerase function and indirectly induces interferon.

Influenza viruses continue to pose a major public health threat worldwide and options for Gels antiviral therapy are limited by the emergence of drug-resistant virus strains.The antiviral cytokine, interferon (IFN) is an essential mediator of the innate immune response and influenza viruses, like many viruses, have evolved strategies to evade this

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Recent Efforts to Prevent Undesirable Reactions From Fractionation to Depolymerization of Lignin: Toward Maximizing the Value From Lignin

Lignin is a major component of lignocellulosic biomass along with cellulose and hemicellulose, currently underutilized with the bulk of technical lignin being combusted for heat generation in plant.From the technoeconomic perspective, the success of a future biorefinery is highly dependent on lignin valorization.However, structural complexity, hete

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