Application of remote sensing and geospatial technologies in predicting vector-borne disease outbreaks. [PDF]
Abbasi E.
europepmc +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
A georeferenced dataset of archaeobotanical findings of <i>Olea europaea</i> and <i>Vitis vinifera</i> compiled from published records from Central Italy. [PDF]
Moricca C +3 more
europepmc +1 more source
Extracellular Vesicles in Autoimmune Diseases: From Diagnostic Biomarkers to Engineered Therapeutics
This review provides a systematic comparison of extracellular vesicles (EVs) from both mammalian and plant sources in the context of autoimmune diseases. It highlights their emerging roles as precision biomarkers and engineered therapeutic platforms.
Yufei Wu +6 more
wiley +1 more source
GIS-integrated flood risk assessment for metro systems based on bayesian cosine maximization method: a case study in Beijing. [PDF]
Luo A +5 more
europepmc +1 more source
Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals
Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang +11 more
wiley +1 more source
Predicting natural enemy efficacy in biological control using ex-ante analyses. [PDF]
Gutierrez AP +4 more
europepmc +1 more source
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source
Climate change impacts on the global potential distribution of the human flea, Pulex irritans, and the global health risks. [PDF]
Magdy H +4 more
europepmc +1 more source
Internet GIS on Historical Statistics.
openaire +2 more sources

