Results 101 to 110 of about 60,145 (304)

Liming Needs of Kentucky Soils [PDF]

open access: yes, 1982
A sound liming program is the first step in building and maintaining soil fertility. Lime lowers the acidity (raises pH) of soil and prevents the adverse effects of high concentrations of soluble aluminum, iron, and manganese on crop growth--effects ...
Thom, William O.
core  

Liming placed in a long-term perspective: a paleolimnological study of 12 lakes in the Swedish liming program

open access: yes, 2007
Since the 1970s liming has been practised on a large scale in Sweden to mitigate acidification and several thousand lakes and streams are limed repeatedly.
Renberg, Ingemar   +2 more
core   +1 more source

Chinese Expert Consensus on the Clinical Application of Finerenone in Geriatric Comorbidities

open access: yesAGING MEDICINE, EarlyView.
Mineralocorticoid receptor (MR) overactivation drives inflammation, oxidative stress, and fibrosis in the heart, kidneys, and vasculature, leading to cardiorenal dysfunction. MR signaling promotes hypertrophy, remodeling, and injury through pathways like oxidative stress and inflammation, resulting in vascular stiffness and progressive organ damage ...
Xiaoming Wang, Cuntai Zhang
wiley   +1 more source

Recommended Liming Strategies for Salmon Rivers in Nova Scotia, Canada [PDF]

open access: yes, 2001
Årsliste 2001The Southern Upland of Nova Scotia is acidified due the extreme sensitive ecosystems combined with being down-wind from large sulphur emission sites in southern Canada and northern US.
Hindar, A.
core  

Is Precision Agriculture Technology Adoption Persistently Overestimated?

open access: yesAgribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone   +5 more
wiley   +1 more source

) cultivated in soil with high levels of copper and liming

open access: yes, 2014
The objective of this study was to evaluate the photosynthetic response and growth of young grape “Niagara Branca” vines grown in soil with high content of Cu and liming. The experiment was conducted in controlled environment with soil subjected to three
Rosete Pescador   +5 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Bidirectional BPNN-based color prediction framework for wide-gamut color-spun yarns: Enhancing digital control in sustainable textile manufacturing

open access: yesMaterials Today Sustainability
This study addresses the challenge of bidirectional color prediction in wide-gamut color-spun yarns through the development and validation of robust Backpropagation Neural Network (BPNN) models. Unlike traditional physical color models that struggle with
Peng Cui, Yuan Xue, Juanjuan Li
doaj   +1 more source

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