Review of Research Advances in Gyroscopes' Structural Forms and Processing Technologies Viewed from Performance Indices. [PDF]
Luo H +7 more
europepmc +1 more source
After spinal cord injury (SCI), TREM2 promotes myelin debris clearance and disease‐associated microglia (DAM) activation that support early repair. However, sustained TREM2‐dependent DAM activation may aggravate chronic inflammation and fibrosis, whereas TREM2 deficiency alleviates these effects, identifying TREM2 as a key regulator of microglial ...
Zhonghan Wu +12 more
wiley +1 more source
Research on a Feedthrough Suppression Scheme for MEMS Gyroscopes Based on Mixed-Frequency Excitation Signals. [PDF]
Chen X +6 more
europepmc +1 more source
An FES-assisted gait training system for hemiplegic stroke patients based on inertial sensors [PDF]
Kauert, R. +3 more
core +2 more sources
Abstract For over a century, alluvial river terraces have been used as archives of tectonic deformation or changes in water discharge, sediment supply, and sea level. Despite this long history, such efforts remain challenging: using terraces as deformation markers requires knowledge of their initial geometry, and most attempts to attribute terrace ...
A. Ruby +4 more
wiley +1 more source
A Comprehensive Error Modeling and On-Field Calibration Method for HRG SINS by Tumbling the Hexahedron. [PDF]
Li Y, Wei Z, Ren S, Zeng Q.
europepmc +1 more source
Algorithm Theoretical Basis for Version 3 TEMPO Level 0–1 Processor
Abstract The Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument is the first spaceborne hyperspectral spectrometer that measures backscattered sunlight over North America in a geostationary orbit. The two charge‐coupled device (CCD) detectors of TEMPO, with spectral coverages of 293–494 and 538–741 nm and resolutions of 0.53–0.63 nm ...
Heesung Chong +20 more
wiley +1 more source
0.003°/h bias instability of honeycomb disk resonator gyroscope achieved by mode reversal combined mode deflection control method. [PDF]
Chen L +7 more
europepmc +1 more source
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
Abstract Animal‐worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, which measure changes in acceleration across planes of movement, are increasingly being used in conjunction with machine learning models to classify animal behaviours across taxa and research questions.
Medha Agarwal +4 more
wiley +1 more source

