Results 241 to 250 of about 5,806,348 (275)
Comparative genomic analysis of <i>Sinorhizobium meliloti</i> LPU88: plasmid diversity and conjugative mechanisms. [PDF]
Rey C +9 more
europepmc +1 more source
Ensemble species distribution models indicate that Potamon fluviatile may experience a substantial reduction in climatically suitable habitat in Italy under future climate scenarios, particularly under high‐emission pathways. Comparison with the current protected area network suggests that some existing reserves may lose suitability, while a limited ...
Saman Ghasemian Sorboni +3 more
wiley +1 more source
Assessing Climate Change Impacts on the Distribution and Ecological Risks of Cryptophyta in the China Seas Using Ensemble Models. [PDF]
Lan R, Li J, Chen R, Cai Z, Li L.
europepmc +1 more source
This study integrated multi‐source environmental variables and species occurrence records to predict the current potential suitable habitat of Pinus tabuliformis in China using MaxEnt, Random Forest (RF), generalized additive model (GAM), and a stacking ensemble model.
Haodong Ding +5 more
wiley +1 more source
Comparing the express and enhanced workflows for restoration of hip length and combined offset using the Mako robotic arm-assisted total hip arthroplasty. [PDF]
Cheok T +5 more
europepmc +1 more source
We employed maximum entropy species distribution modeling to assess current and future suitable habitat for Tetramorium caldarium, a pantropical invasive ant species, using 346 occurrence records and bioclimatic variables projected under two climate scenarios (RCP 2.6 and RCP 8.5) for 2050 and 2070. The model demonstrated excellent performance (AUC = 0.
Mohamed Nasser +8 more
wiley +1 more source
The spectral evolution of white dwarfs: where do we stand? [PDF]
Bédard A.
europepmc +1 more source
‘biomod2' – extending presence–absence species distribution models to multiple data types
The R package ‘biomod2' is one of the most widely used and versatile tools for species distribution modelling (SDM), enabling ecologists to calibrate, evaluate, and project species–environment relationships across space and time using multiple modelling algorithms and ensemble forecasting.
Maya Guéguen +3 more
wiley +1 more source
Prediction of thermally driven quasi-1D superionic states in carbon hydride under giant planetary conditions. [PDF]
Liu C, Cohen RE, Sun J.
europepmc +1 more source

