Also, we do not address sensors such as the electronic speed control and inertial measurement unit (an electromechanical device that consists of an accelerometer and a gyroscope) and controls such as proportional integral derivative control, adaptive control, localization and mapping methods, marker ...
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The rest of this paper is structured as follows.Related worksection reviews the various techniques related to network anomaly detection. InFramework of telemetry-based anomaly detection systemsection, the system model construction of this paper is presented, along with a general introduction of the pro...
Hypertension-induced myocardial remodelling encompasses both structural and functional changes in cardiac muscle tissue, such as myocardial hypertrophy, fibrosis, and inflammation. These alterations not only impair the systolic and diastolic functions of
Hypertension-induced myocardial remodelling encompasses both structural and functional changes in cardiac muscle tissue, such as myocardial hypertrophy, fibrosis, and inflammation. These alterations not only impair the systolic and diastolic functions of
Specific restoration of Lnx1 or EphB2 protein in the CA3 area of Lnx1−/− mice rescues the defective synaptic function and social memory. These findings thus reveal crucial roles of postsynaptic NMDAR multiprotein complex that regulates the formation of initial social memory during the ...
Applications that fit this model inherently consist of many small independent threads that fit easily within the processing resources of a single core. This software often contains a significant amount of control code and often accesses memory in random order with multiple levels of indirection. There...
This is used to store source camera and 2D person indices as well as triangulated 3D positions for subject can- didates. (Note that these putative 3D triangulations are only used in the detection sorting stage and not in the kinematic pose optimization, Eq. 2, which uses the sorted 2D key...
Dissecting the cellular heterogeneity embedded in single-cell transcriptomic data is challenging. Although many methods and approaches exist, identifying cell states and their underlying topology is still a major challenge. Here, we introduce the concept