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Unravelling riverine dissolved organic matter sources using molecular fingerprints and FEAST model in a multi-tributary mountain river basin.
Water Res
March 2025
College of Natural Resources and Environment, Northwest A & F University, Yangling 712100, Shaanxi, China. Electronic address:
Revealing the sources, composition and fate of riverine dissolved organic matter (DOM) is fundamental to understanding the biogeochemical cycles of aquatic ecosystems. This study aimed to reveal the impact of land uses and wastewater treatment plants (WWTPs) on riverine DOM. Spatiotemporal variations in molecular characteristics of riverine DOM in the river network containing 15 tributaries in the mainstream of upper Hanjiang River were studied.
View Article and Find Full Text PDFKinematic effects of a back-assistance exoskeleton during human locomotion.
Appl Ergon
March 2025
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy; Polito(BIO)Med Lab, Politecnico di Torino, Turin, Italy.
In the last years, Industry 5.0 has proposed a sustainable and resilient industry model, where the human-centric approach places human needs at the center of the production process. Wearable robots have been designed to assist users, providing support for the entire body or specific regions during task performance.
View Article and Find Full Text PDFIntegrative spatiotemporal modeling of biomolecular processes: Application to the assembly of the nuclear pore complex.
Proc Natl Acad Sci U S A
March 2025
Department of Bioengineering and Therapeutic Sciences, Quantitative Biosciences Institute, University of California, San Francisco, CA 94143.
Dynamic processes involving biomolecules are essential for the function of the cell. Here, we introduce an integrative method for computing models of these processes based on multiple heterogeneous sources of information, including time-resolved experimental data and physical models of dynamic processes. First, for each time point, a set of coarse models of compositional and structural heterogeneity is computed (heterogeneity models).
View Article and Find Full Text PDFLeveraging Massive Opportunistically Collected Datasets to Study Species Communities in Space and Time.
Ecol Lett
March 2025
Laboratory of Freshwater Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.
Online portals have facilitated collecting extensive biodiversity data by naturalists, offering unprecedented coverage and resolution in space and time. Despite being the most widely available class of biodiversity data, opportunistically collected records have remained largely inaccessible to community ecologists since the imperfect and highly heterogeneous detection process can severely bias inference. We present a novel statistical approach that leverages these datasets by embedding a spatiotemporal joint species distribution model within a flexible site-occupancy framework.
View Article and Find Full Text PDFUnderstanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model.
Int J Neural Syst
March 2025
School of Mathematics, Northwest University, Xi'an, Shaanxi 710127, P. R. China.
The electrophysiological findings have shown that epileptiform spikes triggering sleep spindles within 1[Formula: see text]s across multiple channels are commonly observed during sleep in focal epilepsy (FE). Such spatio-temporal couplings of spikes and spindles (STCSSs) are defined as a kind of pathological waves, and frequent emergence of them may cause the degradation of cognitive function for FE patients. However, the neural mechanisms underlying STCSSs are not well understood.
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