Results 91 to 100 of about 1,826,217 (302)
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
SHOOT REGULATION THROUGH SUMMER PRUNING ATTHE BULGARIAN GRAPE VARIETY MAVRUD
The present study evaluates the influence of different summer(green)prunings on the shoot growth dynamics of the Mavrud variety, grown in the area of the village of Benkovski, Plovdiv region, Bulgaria. In 2023 and 2024, four variants of
M. Mihaylov
doaj +1 more source
O objetivo deste trabalho foi avaliar técnicas que viabilizem a produção de pêssegos de melhor qualidade, ao potencializar características externas como a coloração vermelha na epiderme e o tamanho, bem como características químicas relativas ao sabor ...
Renato Trevisan +5 more
doaj +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Development of the peach tree related to green pruning intensity
O Estado de São Paulo caracteriza-se como o principal produtor de pêssegos (Prunus persica (L.) Batsch) para consumo in natura do Brasil. Devido ao cultivo ser realizado em diferentes regiões e pelo uso de cultivares precoces e bem precoces, a maioria ...
Rodrigues, Alessandro +1 more
core +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
ESTIMATION OF BIOMASS COMMERCIAL SPROUTS OF Ilex paraguariensis A.ST.-HIL
This study aimed at developing some models that allow estimating the biomass of commercial green shoots of Ilex paraguariensis after pruning, at 10 years-old. In September 2007, 40 Ilex paraguariensis were pruned.
Elisabete Vuaden +5 more
doaj +1 more source
Robot docking using mixtures of Gaussians [PDF]
This paper applies the Mixture of Gaussians probabilistic model, combined with Expectation Maximization optimization to the task of summarizing three dimensionals range data for the mobile robot. This provides a flexible way of dealing with uncertainties
Williamson, M. +6 more
core
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source

