Results 261 to 270 of about 2,065,553 (347)

Dynamic and Stable Core Microbiota Assist Plants in Enriching Selenium and Reducing Cadmium Absorption

open access: yesAdvanced Science, EarlyView.
During different developmental stages of plants in natural Se–Cd coexisting soils, there is a group of rhizosphere microorganisms with highly dynamic abundance. The abundance variation of these microorganisms is strongly positively correlated with available Se and strongly negatively correlated with available Cd.
Zheng Lei   +16 more
wiley   +1 more source

Robust Controlled Degradation of Enzyme Loaded PCL‐Based Fibrous Scaffolds Toward Scarless Skin Tissue Regeneration

open access: yesAdvanced Science, EarlyView.
A novel biodegradable wound dressing (E‐PCLs) based on polycaprolactone (PCL) and an enzyme complex (RHP‐BCL) is developed using a fiber microfluidic electrospinning technique. The dressing achieves complete degradation within 14 days, eliminates microplastic residues, and promotes scar‐free healing (99% in 21 days).
Lingling Fan   +7 more
wiley   +1 more source

Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models. [PDF]

open access: yesRisk Manag Healthc Policy
Liang D   +10 more
europepmc   +1 more source

Machine learning-based multimodal data fusion for the Swiss land use statistics

open access: gold
Adrian Meyer   +4 more
openalex   +1 more source

Generation of Neural Organoids and Their Application in Disease Modeling and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
Neural organoids provide a versatile platform for neurological research. Advances in organoid technology have partially achieved human neural tissue complexity in terms of tissue structure, cell diversity, and neural signaling, offering insights into neural disorders and regenerative strategies. Technology advances from biomaterials, bio‐manufacturing,
Ruiqi Huang   +4 more
wiley   +1 more source

Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis. [PDF]

open access: yesSci Rep
Rakovics M   +9 more
europepmc   +1 more source

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