MACHINE LEARNING MODELS PERFORM BETTER THAN TRADITIONAL EMPIRICAL MODELS FOR STOMATAL CONDUCTANCE WHEN APPLIED TO MULTIPLE TREE SPECIES ACROSS DIFFERENT FOREST BIOMES

Machine learning models perform better than traditional empirical models for stomatal conductance when applied to multiple tree species across different forest biomes

Stomatal closure decreases water loss and is one of the main mechanisms that trees can use to mitigate drought-induced physiological stress.The adaptability of trees to drought is likely to be of increasing importance as climate changes occur around the world.Modelling stomatal regulation can help improve our understanding of how forests respond to

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On the question of some tendencies in the unification of national and international jurisdiction of Internet disputes

The author analyzes the development of foreign legislative and law enforcement approaches to resolving the issue of Internet disputes jurisdiction.It is concluded that today the development of national and international legal regulation of issues Internet disputes jurisdiction occurs in two directions: firstly, the reception of Latch national juris

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Differences in Health-Related Physical Fitness and Academic School Performance in Male Middle-School Students in Qatar: A Preliminary Study

This study examined the differences in the level of physical fitness and academic performance among male middle-school children based on different body status categories.A total of 69 male children [age: 12.4 Shirts ± 0.7 years; body mass: 58.5 ± 7.2 kg; height: 1.62 ± 0.09 m; and body mass index (BMI): 22.4 ± 3.3 kg/m2] participated and were d

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