Results 121 to 130 of about 118,288 (291)
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
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Root pruning has been proposed as a practical method to regulate growth and metabolite accumulation in horticultural crops, yet its physiological and metabolic consequences in hydroponically grown lettuce remain poorly understood.
Masaru Sakamoto, Takahiro Suzuki
doaj +1 more source
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
ABSTRACT The ciliopathies are a group of genetic disorders caused by defective function of either the primary cilia (a large number) or the motile cilia (a much smaller number). These have been defined as diseases with mutations in genes encoding individual ciliary or cilia‐associated proteins.
Robert P. Erickson +1 more
wiley +1 more source
Aiming at the problems of high decision‐making difficulty and insufficient adaptability of traditional algorithms in college students' entrepreneurship path planning, this paper proposes a decision support system model for college students ...
Lu Gao, Renjia Zhang
doaj +1 more source
Schematic representation of the processing and multiscale characterization of nanocellulose films from different botanical sources. ABSTRACT Although the influence of botanical origin on nanocellulose properties is well recognized, an integrated multiscale framework linking chemical composition, fractal surface descriptors, and nanomechanical behavior ...
Márcia da Silva Costa +9 more
wiley +1 more source
We describe the functional anatomy of masticatory muscles in nine opossums, finding a generalized anatomical pattern with differences related to skull morphology. Variation in quantitative myological data and estimated bite force was mostly related to size, and the increase in bite force supports dietary diversification associated with size increase ...
Juann A. F. H. Abreu, Diego Astúa
wiley +1 more source

