Results 61 to 70 of about 24,705,727 (296)
On the spatio-temporal analysis of hydrological droughts from global hydrological models [PDF]
The recent concerns for world-wide extreme events related to climate change have motivated the development of large scale models that simulate the global water cycle.
G. A. Corzo Perez +9 more
core +2 more sources
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections [PDF]
When analyzing the spatio-temporal dependence in most environmental and earth sciences variables such as pollutant concentrations at different levels of the atmosphere, a special property is observed: the covariances and cross-covariances are stronger in
G. Genton, Marc +4 more
core +1 more source
This study unravels that bone fracture accelerates diabetic wound healing by releasing exosomal microRNA (miR‐130b‐3p). To mimic this bone‐skin crosstalk, we engineered a self‐assembling agomir‐130b‐3p nanocomplex. Delivered via a photocrosslinkable hydrogel, this bio‐inspired therapy provides sustained localized agomir release.
Tao Shen +14 more
wiley +1 more source
A Method of Water Body Extraction Based on Multiscale Feature and Global Context Information
Water body extraction is an essential mission in the field of semantic segmentation of remote sensing images. It plays a significant role in natural disaster prevention, water resources utilization, hydrological monitoring, and other territories.
Ru Miao +6 more
doaj +1 more source
Polydopamine nanoparticles enable a precise, non‐genetic, and transcranial neuromodulation strategy via near‐infrared photothermal stimulation. By activating TRPV1 channels, this approach specifically enhances hippocampal gamma oscillations, thereby rescuing spatial memory deficits in models of perioperative neurocognitive disorder.
Yan‐Bo Zhou +10 more
wiley +1 more source
A Study on Improved Faster R-CNN Model for Multi-Object Detection in Remote Sensing Images [PDF]
The complex backgrounds, diverse target types, and significant scale variations in remote sensing images lead to target omission and false detection.
MIAO Ru, LI Yi, ZHOU Ke, ZHANG Yanna, CHANG Ranran, MENG Geng
doaj +1 more source
Surface time series models for large spatio-temporal datasets
The data observed in many phenomena have a spatial and a temporal component. Due to the rapid development of complex, performant technologies, spatio-temporal data can now be collected on a large scale.
Martinez Hernandez, Israel +1 more
core +1 more source
We developed an ultrasound‐controlled biomimetic nanoplatform, mRNA/V@M NPs, to co‐deliver CD74 mRNA and V‐9302 for fibrotic TNBC therapy. CD74 mRNA reprograms myCAFs into antigen‐presenting apCAF cells through the CD74‐MHC II pathway, while V‐9302 induces ICD and activates MHC I‐CD8+ T cell immunity.
Chen Ai +9 more
wiley +1 more source
Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models
In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between cross-sensor images.
Ru Miao +6 more
doaj +1 more source
WHU-PA3D: Qaidam Basin Planetary Analogous-3D Dataset [PDF]
Accurate localization and detailed environmental perception are critical for planetary exploration, particularly in unstructured and complex terrains. To support such efforts, we present the WHU-PA3D dataset, a planetary analog dataset collected in the ...
A. Jin +17 more
doaj +1 more source

