Results 251 to 260 of about 3,437,660 (362)

Predicting Remission in Schizophrenia Using Machine Learning—Assessing the Impact of Sample Size and Predictor Overinclusion

Acta Psychiatrica Scandinavica, EarlyView.
ABSTRACT Introduction Machine learning studies sometimes include a high number of predictors relative to the number of training cases. This increases the risk of overfitting and poor generalizability. A recent study hypothesized that between‐trial heterogeneity precluded generalizable outcome prediction in schizophrenia from being achieved. However, an
Fredrik Hieronymus, Magnus Hieronymus, Axel Sjöstedt, Staffan Nilsson, Jakob Näslund, Alexander Lisinski, Søren Dinesen Østergaard   +6 more
wiley   +1 more source

Exploring the differences in atmospheric mesoscale kinetic energy spectra between AI based and physics based models. [PDF]

Sci Rep
Li Z, Peng J, Zhang L, Wu H, Zhang W, Zhu J.   +5 more
europepmc   +1 more source

One Size Does Not Fit All: Planting Calendar as an Adaptation Strategy in the Mekong Delta

Agricultural Economics, EarlyView.
ABSTRACT Climate change and extreme weather significantly affect farmers’ livelihoods and human security in developing countries. Different adaptation strategies have been implemented to mitigate negative climate impacts, including the development of early warning systems and recommended crop calendar adjustments in response to adverse forecasts.
Le Phuong‐Dung, Francisco Alpizar, Bradford Mills   +2 more
wiley   +1 more source

Hydrology in the 21st century: challenges in science, to policy and practice. [PDF]

Philos Trans A Math Phys Eng Sci
Fowler HJ, Coxon G, White CJ.
europepmc   +1 more source

Impact of Introduced Pastures in Colombian Lowland Ranching

Agricultural Economics, EarlyView.
ABSTRACT The adoption of higher‐nutrient grass varieties, such as Brachiaria, offers long‐term economic benefits for ranchers while enhancing soil health and pasture productivity in Latin America's lowland climates. Despite widespread adoption, the field‐level impacts remain largely unexplored.
Jose María Martínez, Ricardo Labarta, Mywish K. Maredia   +2 more
wiley   +1 more source

Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area. [PDF]

Environ Earth Sci
Smith AC, Li L, Xiang J, Fang F.
europepmc   +1 more source

The Nasal Microbiome and Associations With Environmental Exposures and Respiratory Health

Allergy, EarlyView.
This study evaluates the association of the nasal microbiome with air pollutants, meteorological conditions, and respiratory health in adolescents. Bacterial diversity is positively associated with hay fever and short‐term NO2 exposure, and negatively with temperature. A Moraxella‐dominated nasotype is linked to lower O3 exposure and higher temperature
Javier Perez‐Garcia, Anne K. Bozack, Sheryl L. Rifas‐Shiman, Yanjiao Zhou, Joanne Sordillo, Brent Coull, Heike Luttmann‐Gibson, Joel Schwartz, Marie‐France Hivert, Emily Oken, Diane R. Gold, Andres Cardenas   +11 more
wiley   +1 more source

Multiscale environmental drivers of human brucellosis transmission in Xinjiang: A spatiotemporal analysis integrating GAM and MaxEnt modeling (2015-2023). [PDF]

PLoS Negl Trop Dis
Zhou P, Zhao J, Wu D, Li F, Wang X, Zheng Y, Zhang L.   +6 more
europepmc   +1 more source

Intensifying translocal precarity: The impact of COVID‐19 on smallholder farmers' commodity production and social reproduction in Cambodia

Area, EarlyView.
Short Abstract Our paper argues that COVID‐19 deepened the translocal precarity of smallholder households, who already had to struggle with volatile commodity production and uncertain labour migration. Through the lens of translocal precarity, it reveals how the pandemic played out within a broader conjuncture of agrarian transformation, defined by ...
Rosa Yi, W. Nathan Green
wiley   +1 more source

KEDformer: Knowledge extraction seasonal trend decomposition for long-term sequence prediction. [PDF]

PLoS One
Qin Z, Wei B, Gao C, Ni J.
europepmc   +1 more source