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Different receptor models show differences in ligand binding strength and location: a computational drug screening for the tick-borne encephalitis virus
The tick-borne encephalitis virus (TBE) is a neurotrophic disease that has spread more rapidly throughout Europe and Asia in the past few years. At...
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Movement range corresponds to scale of effect for single scale models but not for individual variables within models
ContextMovement is one of the proposed explanations for the scale at which a species responds most strongly to its environment, or the “scale of...
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Minimum Wasserstein Distance Estimator Under Finite Location-Scale Mixtures
When a population exhibits heterogeneity, we often model it via a finite mixture: decompose it into several different but homogeneous subpopulations.... -
Assessing aerobic rice systems for saving irrigation water and paddy yield at regional scale
Aerobic rice cultivation has been proposed as a water-saving option. Regional assessments are necessary to quantify its importance as such an option...
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Student–Athletes’ Academic and Athletic Motivation Scale (SAAMS) for adolescents in secondary school: development, evaluation, and psychometric properties
Previous dual-career (DC) research focused on measuring student–athletes’ motivation in the academic and athletic contexts. Existing measurement...
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Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS
Due to the fact that the color of mango peel is similar to that of leaf, and there are many fruits on one stem, it is difficult to locate the picking...
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Strategies and engineering aspects on the scale-up of bioreactors for different bioprocesses
Bioreactors are central equipment used in the majority of bioprocesses. Different models of bioreactors have been developed for different processes,...
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Scale and Scaling
Landscape ecology as a discipline is very much concerned with issues of scale and pattern. These issues are tightly coupled, in that pattern implies... -
Change-point models for identifying behavioral transitions in wild animals
Animal behavior can be difficult, time-consuming, and costly to observe in the field directly. Innovative modeling methods, such as hidden Markov...
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Modelling bark volume for six commercially important tree species in France: assessment of models and application at regional scale
Key messageA set of models of bark thickness at breast height and bark volume are now available for six species in France. A common model suitable...
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Machine learning allows for large-scale habitat prediction of a wide-ranging carnivore across diverse ecoregions
ContextResource selection functions are powerful tools for predicting habitat selection of animals. Recently, machine-learning methods such as random...
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Microlandscape Experiments: Are They Useful for Scale, Scaling, and Cross-Scale Inference?
Purpose of ReviewEcologists frequently must sample and do experiments at smaller scales than the processes of interest. Microlandscape experiments...
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Estimating kill intervals for a specific prey species using location clusters from GPS-collared Eurasian lynx (Lynx lynx)
An increasing number of GPS telemetry studies have helped to gain important insights into predator-prey relationships in recent years. However,...
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An assessment of vegetation map** scale for reserve management: does scale of assessment dominate assessment outcomes?
Scale is a critical factor in biodiversity assessments; assessments at inappropriate scales can compromise assessments and drive poor management...
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A novel method for identifying fine-scale bottom-use in a benthic-foraging pinniped
BackgroundFor diving, marine predators, accelerometer and magnetometer data provides critical information on sub-surface foraging behaviours that...
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Sweet corn yield prediction using machine learning models and field-level data
The advent of modern technologies, acquisition of large amounts of crop management and weather data, and advances in computing are resha** modern...
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Scale modeling of thermo-structural fire tests of multi-orientation wood laminates
The stacking sequence of laminated wood significantly impacts the composite mechanical behavior of the material, especially when scaling down...
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Optimal Production and Dispatch of Renewable Natural Gas, Electricity, and Fertilizer in Municipal-Scale Anaerobic Digestion Supply Chains
Global energy consumption is increasing, and there is a growing demand for renewable energy systems that replace fossil fuels with clean...
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Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting
In unstructured agricultural environments, accurate fruit detection and picking point localization are important for automatic robotic harvesting. In...
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The relationship between scale and predictor variables in species distribution models applied to conservation
Species distribution models have been used to assist decision-making in many different aspects of conservation, restoration, and environmental...