Results 211 to 220 of about 253,016 (276)

Consumer diversity drives stronger predation in tropical marine communities

Ecography, EarlyView.
Biotic interactions are predicted to be stronger in the tropics compared to higher latitudes, contributing to observed patterns of global biodiversity. While increased consumer diversity and more complex food webs are expected in tropical communities, the trophic dynamics underlying strong regional effects of predation are not well understood.
Michele F. Repetto, Gregory M. Ruiz, Mark E. Torchin, Mariana Bonfim, Amy L. Freestone   +4 more
wiley   +1 more source

Multimodal machine learning for predicting postoperative functional outcomes in surgically treated supratentorial deep intracerebral hemorrhage: a prospective multicenter study. [PDF]

Front Neurol
Cui M, Liu Y, He Q, Xiong W, Liu Y, Xu L, Deng Y, Tan X.   +7 more
europepmc   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Driven by motivation, fueled by rage, and struggling to disengage: a serial mediation model of internet gaming disorder in adolescents. [PDF]

Sci Rep
Michałkiewicz N, Strojny P, Strojny A.
europepmc   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu, Xiaoyan Zhang, Zhiyuan Ma, Kailong Ma, Xiwei Qi   +4 more
wiley   +1 more source

Prediction of Ki-67 expression in invasive breast cancer with dual-modality radiomics. [PDF]

Sci Rep
Xu R, Lin Q, Zheng C, Fang W, Liu C, Lin J, Gao F, Zhang S, Ouyang Q, Zhou Y.   +9 more
europepmc   +1 more source

Nanofiber PVA‐Based Membranes Incorporating Functionalized Spanish Broom Derivatives for Sustainable Water Purification

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando, Silvia Sfameni, Jozefien Geltmeyer, Alessandra Palella, Lorenzo Spadaro, Alberto Riminucci, Karen De Clerck, Maria Rosaria Plutino   +7 more
wiley   +1 more source

Dynamic mode decomposition of resting-state fMRI revealing abnormal brain region features in schizophrenia. [PDF]

Front Comput Neurosci
Wang Y, Wang Y, Xu X, Pan X.
europepmc   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

ESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori, Shingo Fukuma, Kyohei Yamaji, Atsushi Mizuno, Naoki Kondo, Kosuke Inoue   +5 more
wiley   +1 more source

Maize yield estimation at different growth stage using weather variables by LASSO, elastic net and stepwise multiple linear regression techniques. [PDF]

Sci Rep
Vashisth A, Aravind KS.
europepmc   +1 more source