Sensor faults can produce abnormal and spurious observations in the solar insecticidal lamp Internet of Things (SIL-IoTs) system.Early detection LICORICE 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 separable 1D convolution neural n

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning.Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains.Identifying the modular structure in multilayer brain networks rep

Abstract Background To investigate the link between the flowering time gene Keyboard/Synth Parts GIGANTEA (GI) and downstream genes, an inducible GI system was developed in Arabidopsis thaliana L.Heynh.Transgenic Arabidopsis plant lines were generated with a steroid-inducible post-translational control system for GI.The gene expression construct co

Objectives The seroprevalence of antibodies against Cytomegalovirus (CMV) is an established poor prognostic factor for patients receiving an allogeneic stem cell transplantation.However, the impact of CMV serology on outcome after autologous stem cell transplantation remains unknown.Methods Here, we analyzed the CMV immunoglobulin (Ig) serology of

Abstract Animals face uncertainty about their environments due to initial ignorance or subsequent changes.They therefore need to explore.However, the algorithmic structure of exploratory choices in the brain still remains largely elusive.Artificial agents face the same problem, and a venerable idea in reinforcement learning is that they can plan ap