Results 141 to 150 of about 21,033 (209)

Linking physical stimulation to molecular responses: The role and value of exosomes in mediating the systemic effects of Chinese Tuina

open access: yesClinical and Translational Discovery, Volume 6, Issue 2, April 2026.
(1) Tuina's mechanical forces activate cellular mechanosensors; (2) Induce multi‐tissue exosome release to mediate intercellular communication; (3) Exosomes systemically regulate muscle, nerve, immune and vascular functions; (4) Target gene knockout confirms exosomes’ specific mediating role.
Lifen Zhan   +4 more
wiley   +1 more source

Insights Into Spatial Orientation and Cognition in Tarantulas (Araneae: Theraphosidae) Under Natural Conditions, With Notes on Possible Ontogenetic Niche Shifts

open access: yesEcology and Evolution, Volume 16, Issue 4, April 2026.
Cognitive studies on spiders have largely ignored mygalomorphs, such as tarantulas, and almost completely lack field‐based observations. We present nine observations of arboreal and fossorial New World tarantulas, including a blind cave‐dwelling species, providing evidence for possible experience‐based navigation and spatial learning during foraging ...
Alireza Zamani, Rick C. West
wiley   +1 more source

Unraveling Chronic Pain: From Mechanisms and Risks to Diagnosis and Treatment

open access: yesMedComm, Volume 7, Issue 4, April 2026.
Chronic pain arises through distinct molecular pathways categorized into nociceptive, neuropathic, and nociplastic types. Nociceptive pain begins with TRP channel activation in peripheral nociceptors, signaling via Aδ‐ and C‐fibers through the spinal dorsal horn and spinothalamic tracts to the brain, regulated by descending inhibition and involving ...
Xiaofeng Dai   +3 more
wiley   +1 more source

A New Global Climatological Model of the Equatorial Ionospheric Vertical E × B Drift: Integrating Ground‐Based Magnetometer, Radar, and Satellite Data Sets

open access: yesEarth and Space Science, Volume 13, Issue 4, April 2026.
Abstract We present a new empirical vertical E×B $\mathbf{E}\times \mathbf{B}$ drift model developed using ground‐based magnetometer, radar, and satellite data over equatorial latitude regions. We first implement an algorithm relating magnetometer derived equatorial electrojet (EEJ) and vertical ion plasma drift (equivalent to vertical E×B $\mathbf{E ...
John Bosco Habarulema   +9 more
wiley   +1 more source

Multi‐Task Learning for Airport Surface Surveillance: A Review

open access: yesExpert Systems, Volume 43, Issue 4, April 2026.
ABSTRACT The rapid growth of air transportation has surpassed the capabilities of traditional airport surveillance methods, such as visual observation and auxiliary equipment (e.g., ADS‐B, MLAT, radar), which struggle to provide all‐area, all‐weather situation awareness.
Daoyong Fu   +6 more
wiley   +1 more source

A Siamese Neural Network for Non-Invasive Baggage Re-Identification. [PDF]

open access: yesJ Imaging, 2020
Mazzeo PL   +3 more
europepmc   +1 more source

Connecting the Dots: Does COI Variability in Paramecium caudatum (Ciliates, Protista) Support the Moderate Endemicity Model of Microeukaryote Distribution?

open access: yesJournal of Biogeography, Volume 53, Issue 4, April 2026.
ABSTRACT Aim Understanding the biodiversity and distribution patterns of microbial eukaryotes is fundamental to biosphere research. The biogeography of free‐living protists remains contentious, with the ‘everything is everywhere’ and ‘moderate endemicity’ hypotheses representing competing paradigms.
Sebastian Tarcz   +5 more
wiley   +1 more source

NCIVISION: A Siamese Neural Network for Molecular Similarity Prediction MEP and RDG Images. [PDF]

open access: yesMolecules
Vieira RC   +5 more
europepmc   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

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