Prediction of respiratory diseases based on random forest model. [PDF]
Yang X, Li Y, Liu L, Zang Z.
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Indigenous peoples and local community reports of climate change impacts on biodiversity
Abstract Climate change impacts on biodiversity have been primarily studied through ecological research methods, largely ignoring other knowledge systems. Indigenous and local knowledge systems include rich observations of changes in biodiversity that can inform climate change adaptation planning and environmental stewardship.
Albert Cruz‐Gispert+5 more
wiley +1 more source
Assessing and forecasting collective urban heat exposure with smart city digital twins. [PDF]
Pan X+4 more
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Cool‐season environmental water delivery increases extinction risk for chytrid‐infected amphibians
We developed a stochastic population model to test the impact of the timing of environmental water delivery on the extinction risk of L. raniformis impacted by amphibian chytrid fungus. Our simulations suggested populations are less likely to go extinct when environmental water is delivered in spring compared to late winter. This outcome indicates that,
Anna Turner+5 more
wiley +1 more source
Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022. [PDF]
Hasan MM, Hasan MJ, Rahman PB.
europepmc +1 more source
Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms. [PDF]
Nguyen HN+4 more
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Depth prediction of urban waterlogging based on BiTCN-GRU modeling. [PDF]
Wang Q, Tang M, Shi P.
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Effects of a temperate heatwave on diel rhythms of insect activity: A comparison across habitats
Counts of insects caught in pan traps in Norfolk, UK, exhibited a unimodal relationship with air temperature – a pattern also observed specifically for the orders Diptera and Hymenoptera. A temperate heatwave event reduced insect counts in the open meadow habitat by an estimated 81.9%, with smaller, non‐significant decreases observed in tree‐covered ...
Josh A. Carter+3 more
wiley +1 more source
Evaluation of Groundwater Potential Zones Using GIS-Based Machine Learning Ensemble Models in the Gidabo Watershed, Ethiopia. [PDF]
Mussa MM, Lohani TK, Eshete AA.
europepmc +1 more source