Results 181 to 190 of about 319,246 (248)

Optimising CMIP6 Multi-model ensembles using ETCCDI-TOPSIS-Monte carlo framework for reliable climate projections over Odisha, India. [PDF]

Sci Rep
Kar N, Sahu SC.
europepmc   +1 more source

Epistemological Friction: Embodied Expertise and the ‘Last Mile’ of Agricultural Automation in the US Tree‐Fruit Industry

New Technology, Work and Employment, EarlyView.
ABSTRACT Autonomous and AI‐driven agricultural technology is often framed as a panacea for labour dependency. While proponents envision autonomous technologies seamlessly optimising farming, this rationalised model misunderstands the reality of on‐farm integration.
M. Anne Visser, Alex Bladimir Hernandez
wiley   +1 more source

What Are The Drivers of Labour Productivity in Italy?

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper introduces a novel sign restriction identification within a structural Bayesian vector autoregression (VAR) to analyse how labour productivity responds to supply and demand shocks and to quantify the contribution of shocks to cyclical fluctuations.
Josué Diwambuena, Francesco Ravazzolo
wiley   +1 more source

Geographical Variation in the Gut Microbiota of <i>Duttaphrynus melanostictus</i>: Relative Contributions of Environmental Filtering and Host Physiological Modulation. [PDF]

Ecol Evol
Zhu DK, Wen N, Peng KY, Jiang LL, Li J, Zhao L.   +5 more
europepmc   +1 more source

Early‐Season Warming Advances Autumn Senescence in Temperate Tree Saplings in Association With Early Growth Dynamics

Plant, Cell &Environment, EarlyView.
ABSTRACT The timing of autumn leaf senescence is driven by external cues such as temperature and photoperiod and is strongly regulated by internal developmental processes. Correlative evidence suggests that earlier budburst and warmer conditions in spring and summer could accelerate development and advance senescence, yet this hypothesis remains ...
Yann Vitasse, Shilong Ren, Charlotte Grossiord, Matthias Saurer, Yunpeng Luo, Yan‐Li Zhang, Zhaofei Wu, Constantin Zohner   +7 more
wiley   +1 more source

Managing inventories for perishable e-groceries: The value of probabilistic information. [PDF]

PLoS One
Winkelmann D, Ulrich M, Römer M, Langrock R, Jahnke H.   +4 more
europepmc   +1 more source

A hybrid STL-LightGBM framework with probabilistic forecasting for Influenza A incidence in the post-pandemic Saudi Arabia. [PDF]

Front Public Health
Alahmadi RM, Awadalla M, Saeed B, Alshanbari HM, Shokeralla AA, Yassin AA, Alosaimi B, Guma FE.   +7 more
europepmc   +1 more source

AI-driven insights into the impact of tourism on local cultures: a machine learning approach. [PDF]

Sci Rep
Zheng H, Zhou Y.
europepmc   +1 more source

Spatial Individual-Level Models for Transmission Dynamics of Seasonal Infectious Diseases. [PDF]

Stat Med
Abed A, Torabi M, Mashreghi Z.
europepmc   +1 more source

Four Decades of Research at the MADE Site and Beyond: Advancing the Understanding and Modeling of Solute Transport in Heterogeneous Media

Reviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo, Maosheng Yin, Peiyao Dong, Yong Zhang, Kewei Chen, Graham Fogg, Brian Berkowitz, Marco Dentz, Chunmiao Zheng   +8 more
wiley   +1 more source