ObjectiveIn response to challenges such as large sampling data, extended diagnosis time, and subjective fault feature selection in traditional bearing fault diagnosis, a CS-DMKELM intelligent diagnosis model for rolling bearings is proposed based on compressed sensing(CS) and carlsbad crush deep multi-kernel extreme learning machine(D-MKELM) theory
Abstract We developed a non-destructive and rapid whole-mount bone staining method for small fish, Xenopus laevis, and rodent fetuses (RAP-B).RAP-B does not require skin or soft tissue removal.However, RAP-B requires hair removal from hairy animals, such as adult mice and rats.In the present study, we investigated hair removal chemical treatments t
Accurate impressions are an essential prerequisite for fabricating implant-retained maxillofacial prostheses.This article describes an impression technique for recording orbital defects by making increments for an implant-retained orbital ww1 german helmet decals prosthesis using an open-tray impression.This technique enables an accurate transfer o
Chronic interstitial inflammation and renal infiltration of activated immune cells play an integral role in hypertension.Lymphatics regulate inflammation through clearance of immune cells and excess interstitial fluid.Previously, we demonstrated increasing renal lymphangiogenesis prevents hypertension in mice.We hypothesized that targeted nanoparti
Abstract Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics.To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are commonly employe