Results 191 to 200 of about 21,856 (262)

A Novel Workflow to Estimate Limb Orientation from Wearable Sensors to Monitor Infant Motor Development. [PDF]

Sensors (Basel)
Song D, Kaiser WJ, Vangala S, Wilson RB.
europepmc   +1 more source

Excitation of Large Amplitude Compressional ULF Waves in the Magnetosphere by Solar Wind Pressure Spikes and IMF Southward Turning

Journal of Geophysical Research: Space Physics, Volume 131, Issue 8, August 2026.
Abstract We present a case study of large amplitude, compressional Pc5 waves observed by GOES 13 and 15 at geosynchronous orbit near noon. These waves were excited near the arrival time of two consecutive solar wind dynamic pressure spikes at the magnetopause, the second of which was associated with a large and rapid southward turning of the ...
C. Lazzeri, C. Forsyth, A. Samsonov, A. Fazakerley, M. Archer, T. Elsden, K. J. Trattner, J. Rae, A. W. Degeling   +8 more
wiley   +1 more source

Multimodal Fusion of Environmental and Physiological Data for Real-World Personalised Comfort Modelling. [PDF]

Sensors (Basel)
Heng S, Yavari A.
europepmc   +1 more source

Bidirectional Energy Transfer via Simultaneous Wave‐Particle Resonances in Inhomogeneous Space Plasmas

AGU Advances, Volume 7, Issue 4, August 2026.
Abstract Wave‐particle resonance is a key mechanism for energy transfer in collisionless plasmas with important implications for wave excitation and particle acceleration. Cyclotron resonance occurs when a particle's gyromotion synchronizes with the wave fields, with their interactions usually describable by quasilinear diffusion or nonlinear trapping.
Jing‐Huan Li, Xu‐Zhi Zhou, Shan Wang, Zhi‐Yang Liu, Yuri V. Khotyaintsev, Daniel B. Graham, Qiu‐Gang Zong, Chao Yue, Anton V. Artemyev, Yoshiharu Omura, Si Liu, Li Li, Jie Ren, Zi‐Kang Xie, Yun Yan   +14 more
wiley   +1 more source

Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data. [PDF]

PeerJ Comput Sci
Silva Zendron LA, Coelho PJ, Soares C, Pereira I, Pires IM.   +4 more
europepmc   +1 more source

A Contrasting TEC Behavior Over the Low‐Latitude Post‐Midnight Sector During Recovery Phases of May and October 2024 Storms: Possible Role of PPEF, DDEF, and O/N2

Journal of Geophysical Research: Space Physics, Volume 131, Issue 8, August 2026.
Abstract The present study reports on the variability of the post‐midnight ionosphere over the low‐latitude sector during the recovery phases of the May and October 2024 storms. Multi‐instrument observations, comprising global navigation satellite system total electron content (TEC), F‐layer peak height, electron density profiles, and column O/N2 ...
Rahul Rathi, Akash Kumar, Alok Kumar Ranjan, Dipjyoti Patgiri, Satarupa Chakrabarti, Lot Ram   +5 more
wiley   +1 more source

Critical Design and Characterization Methodology for a Homemade Three-Axis Fluxgate Magnetometer Measuring Ultra-Low Magnetic Fields. [PDF]

Sensors (Basel)
Can H, Kutlu FNÇ, Svec P, Skorvanek I, Sözeri H, Doğan Ç, Topal U.   +6 more
europepmc   +1 more source

Variability of dB/dt in the African Sector During Solar Cycle 24—Implications for Geomagnetically Induced Currents

Space Weather, Volume 24, Issue 8, August 2026.
Abstract This paper quantitatively characterizes dB/dt peaks at four African equatorial‐ and low‐latitude stations, along latitudinal and local‐time gradients across different phases of selected geomagnetic storms. We investigate dB/dt response for intense geomagnetic storms, Dst ≤ −100 nT observed during solar cycle 24 over four stations in the ...
Wuraola E. Oyegunle, C. M. Ngwira, A. O. Akala, E. O. Oyeyemi, B. Olugbon, O. J. Oyedokun, P. O. Amaechi   +6 more
wiley   +1 more source

Metasurface-integrated atomic magnetometer using single-frequency dual beams. [PDF]

Nanophotonics
Li R, Sun S, Zhang J, Li J.
europepmc   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2309-2329, August 2026.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source