Results 41 to 50 of about 280,435 (260)

Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models

Environment International, 2023
Background: Concentrations of outdoor ultrafine particles (UFP;
Marshall Lloyd, Arman Ganji, Junshi Xu, Alessya Venuta, Leora Simon, Mingqian Zhang, Milad Saeedi, Shoma Yamanouchi, Joshua Apte, Kris Hong, Marianne Hatzopoulou, Scott Weichenthal   +11 more
doaj   +1 more source

Data-driven estimation of the hydrologic response using generalized additive models [PDF]

Geoscientific Model Development
Estimating the hydrologic response of watersheds to precipitation events is key to understanding streamflow generation processes. Impulse Response Functions, commonly referred to as the Instantaneous Unit Hydrograph (IUH) in hydrology, have been used for
Q. Duchemin, M. G. Zanoni, M. G. Floriancic, M. G. Floriancic, H. Seybold, G. Obozinski, J. W. Kirchner, J. W. Kirchner, J. W. Kirchner, P. Benettin   +9 more
doaj   +1 more source

Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics, 2021
The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis.
Jaime Pinilla, Miguel Negrín
doaj   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds [PDF]

Hydrology and Earth System Sciences, 2016
In the past decade, machine learning methods for empirical rainfall–runoff modeling have seen extensive development and been proposed as a useful complement to physical hydrologic models, particularly in basins where data to support process-based ...
J. E. Shortridge, S. D. Guikema, B. F. Zaitchik   +2 more
doaj   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Modelling trends in OH radical concentrations using generalized additive models [PDF]

Atmospheric Chemistry and Physics, 2009
During the TORCH campaign a zero dimensional box model based on the Master Chemical Mechanism was used to model concentrations of OH radicals. The model provided a close overall fit to measured concentrations but with some significant deviations. In this
L. S. Jackson, N. Carslaw, D. C. Carslaw, K. M. Emmerson   +3 more
doaj  

Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China

Annals of Forest Science, 2023
Key message The non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the first time in crown width (CW) additive models of larch (Larix gmelinii Rupr.), birch (Betula platyphylla ...
Junjie Wang, Lichun Jiang, Shidong Xin, Youzhu Wang, Pei He, Yunfei Yan   +5 more
doaj   +1 more source

Smooth backfitting in generalized additive models

, 2007
Generalized additive models have been popular among statisticians and data analysts in multivariate nonparametric regression with non-Gaussian responses including binary and count data.
Mammen, Enno, Park, Byeong U., Yu, Kyusang   +2 more
core   +2 more sources

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher, Jennifer L. Bernstein, Katia M. Crisler, Julia K. Herriott, Kimberly L. Klages, Robin E. Norris, Mariann L. Strenk, Sarah E. Bills, Meghan E. McGrady   +8 more
wiley   +1 more source