Results 261 to 270 of about 457,809 (317)

Predictive modelling and epidemiological forecasting of sclerotinia rot in <i>Brassica juncea</i> under climatic variability in Indian conditions. [PDF]

open access: yesFront Plant Sci
Sharma P   +10 more
europepmc   +1 more source

Depth‐Dependence Changes in Soil Stoichiometry in China's Croplands Over the Past Four Decades

open access: yesAdvanced Science, EarlyView.
This study reveals depth‐dependent changes in soil C:N:P ratios across Chinese croplands over four decades. Changes in stoichiometry vary markedly between topsoil and subsoil, with initial soil C:N:P ratios playing a key role in determining their trajectories.
Xiaodong Sun   +8 more
wiley   +1 more source

An Automated Lab‐On‐A‐Chip Approach for Pollen Tube Growth Manipulation in a Controlled Chemical Environment

open access: yesAdvanced Science, EarlyView.
Here, a microfluidic‐based robotic lab‐on‐a‐chip (LoC) device is presented for automated, continuous‐flow investigation and manipulation of single pollen tube growth under precisely controlled chemical gradients. This closed‐loop system streamlines data collection and analysis while enhancing experimental precision compared to manual methods ...
Jiawei Zhu   +10 more
wiley   +1 more source

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

open access: yesAdvanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang   +3 more
wiley   +1 more source

EXPERIMENTS IN WEATHER PREDICTION

open access: yesMonthly Weather Review, 1899
openaire   +2 more sources

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

open access: yesAdvanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong   +7 more
wiley   +1 more source

Towards a digital twin for smart resilient cities: real-time fire and smoke tracking and prediction platform for community awareness (FireCom). [PDF]

open access: yesComput Urban Sci
Seong K   +8 more
europepmc   +1 more source

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