ABM NetLogo File. حسب Alexandra M. Campbell (3284094)

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Flow diagram representing bromeliad death by overcrowding within the Bromeliad-death procedure. حسب Alexandra M. Campbell (3284094)

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Global parameters and variables for the model. حسب Alexandra M. Campbell (3284094)

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Estimated parameters for distribution of basal area. حسب Alexandra M. Campbell (3284094)

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Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. حسب Alexandra M. Campbell (3284094)

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Variables of patch located at coordinates . حسب Alexandra M. Campbell (3284094)

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MRSP Tree Host Data. حسب Alexandra M. Campbell (3284094)

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<i>Tillandsia utriculata</i> death rate data by size class. حسب Alexandra M. Campbell (3284094)

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Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... حسب Alexandra M. Campbell (3284094)

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Parameter sets generated through Latin hypercube sampling. حسب Alexandra M. Campbell (3284094)

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Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at . حسب Alexandra M. Campbell (3284094)

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Lifespan of a single <i>T. utriculata</i> rosette. حسب Alexandra M. Campbell (3284094)

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Summary of significant single-arm time effect. حسب Wensheng Xiao (16557866)

Nineteen SNPs with significant association (<i>P < </i>5 × 10⁻⁸) with risk on minJSW decrease in knee OA. حسب Mieke L. M. Bentvelzen (21594442)

Flow chart. حسب Raphaele Houlbracq (20558509)

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Simulated regional mean wetland seasons. حسب Nic Gedney (19762301)

Significant Decrease in Vessel Count of Trade Vessels in (a) Bosporus Strait and (b) Bab el-Mandeb Strait. حسب Cherryl Chico (20978829)

Significant repeated measurements sEMG outcomes. حسب María Benito-de-Pedro (22057468)

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Significant single measurement sEMG outcomes. حسب María Benito-de-Pedro (22057468)

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Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

"…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"