Results 141 to 150 of about 3,128,130 (383)

Extreme fire severity interacts with seed traits to moderate post‐fire species assemblages

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Climate change is globally pushing fire regimes to new extremes, with unprecedented large‐scale severe fires. Persistent soil seed banks are a key mechanism for plant species recovery after fires, but extreme fire severity may generate soil temperatures beyond thresholds seeds are adapted to.
Michi Sano   +3 more
wiley   +1 more source

RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD

open access: yesBarekeng
Rainfall is an important parameter in understanding the climate and environment in the Malang Regency area. This research aims to model the distribution of rainfall in this region using the Geographically Weighted Poisson Regression (GWPR) method.
Atiek Iriany   +2 more
doaj   +1 more source

Opportunities in Middle Childhood: Multiple System Involvement During Middle Childhood and Early Adolescence in Northern Territory, Australia

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT Middle childhood offers a crucial window to identify and support children at risk of adverse outcomes in adolescence. This retrospective cohort study examined how data from multiple systems could identify children with the greatest need for support during middle childhood and early adolescence. Using individual level linked records from health,
Vincent Yaofeng He   +4 more
wiley   +1 more source

Prevalence and Factors Associated With Alleged Offending Among Children Aged 10–13 Years in the Northern Territory of Australia

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT Recent policy discourse in Australia focuses on the minimum age of criminal responsibility with minimal attention to prevention strategies. Guided by theory which views child development within nested environmental contexts and recognises the cumulative impact of risk factors, this retrospective cohort study uses de‐identified linked ...
Vincent Yaofeng He   +4 more
wiley   +1 more source

Predicting Football Match Results Using a Poisson Regression Model

open access: yesApplied Sciences
Currently, several techniques based on probabilities and statistics, along with the rapid advancements in computational power, have deepened our understanding of a football match result, giving us the capability to estimate future matches’ results based ...
Konstantinos Loukas   +3 more
doaj   +1 more source

On the Existence of the Maximum Likelihood Estimates for Poisson Regression [PDF]

open access: yes
We note that the existence of the maximum likelihood estimates for Poisson regression depends on the data configuration. Because standard software does not check for this problem, the practitioner may be surprised to find that in some applications ...
J. M. C. Santos Silva, Silvana Tenreyro
core  

Copula‐Based Data Augmentation and Machine Learning for Predicting Tensile Strength of 3D‐Printed PLA Under Anisotropic Conditions

open access: yesJournal of Applied Polymer Science, EarlyView.
Experimental Characterization and Prediction of Mechanical Properties of Anisotropic PLA Samples. ABSTRACT In this study, 48 polylactic acid (PLA) samples were produced via 3D printing, incorporating four infill geometries (gyroid, lattice, honeycomb, and linear), four infill rates (15%–60%), and three printing directions (x, y, z).
Ahmet Saylık   +2 more
wiley   +1 more source

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