Results 211 to 220 of about 45,190 (303)
Loss of the Mecp2 gene in parvalbumin interneurons leads to an inhibitory deficit in the amygdala and affects its functional connectivity. [PDF]
Liiwand M +6 more
europepmc +1 more source
Abstract Coastal flood events are increasing in both frequency and magnitude with ongoing sea‐level rise. Here we present a new statistical approach to generate future daily maximum water level timeseries and associated annual and daily flood probabilities for Australia. Our method provides several improvements on existing projection methods, including
Ben S. Hague +2 more
wiley +1 more source
Direct single-cell observation of a key <i>Escherichia coli</i> cell-cycle oscillator. [PDF]
Iuliani I +3 more
europepmc +1 more source
Abstract Future projections of climate change are uncertain, in part because of uncertainty in future greenhouse gas emissions. However, current widely used emission scenarios and related physical climate projections have no probabilities associated with them, presenting a challenge for risk‐informed climate adaptation decision making.
Jeremy Fyke, Neil C. Swart, David Huard
wiley +1 more source
Skillful Short‐Term Forecasting of Clouds With a Cascade Diffusion Model
Abstract Accurate short‐term forecasting of clouds from satellite imagery is a foundational technology for downstream meteorological disaster mitigation and aviation safety enhancement systems, particularly in developing countries and remote areas lacking ground‐based observation infrastructure.
Haoming Chen +9 more
wiley +1 more source
Quantifying coupling and causality in dynamic bivariate systems: a unified framework for time-domain, spectral, and information-theoretic analysis. [PDF]
Sparacino L +6 more
europepmc +1 more source
Abstract Affordable autonomous soil sensors and IoT technology enable real‐time soil moisture monitoring, which offers opportunities for real‐time model calibration and irrigation optimization. We introduce an irrigation decision support system SWIM2 (Sensor Wielded Inverse Modeling of a Soil Water Irrigation Model), a digital twin that integrates ...
Marit G. A. Hendrickx +7 more
wiley +1 more source
Evaluating the impact of subsurface hydraulic barriers on Qanat flow rates using quantile regression forest. [PDF]
Can M, Vaheddoost B, Safari MJS.
europepmc +1 more source
Abstract Global Climate Models (GCMs) are essential for simulating past and future climates but suffer from systematic biases and coarse resolution, limiting direct applications. Bias correction (BC) and downscaling, using dynamical or statistical methods, address these issues. Quantile mapping (QM)‐based BC is widely used, yet it distorts dependencies,
Sachidananda Sharma +2 more
wiley +1 more source

