Results 121 to 130 of about 66,774 (311)
Ovarian macrophage depletion reverses OHSS resistance in estrildid finches and exacerbates OHSS symptoms in rats. Activating macrophage GPR183 alleviates OHSS by reducing pro‐inflammatory factors, increasing immunomodulatory molecules, remodeling CD44/SDC4‐mediated communication, and restoring immune homeostasis.
Xiaofei Yan +11 more
wiley +1 more source
Application of BP Artificial Neural Networks in Modelling Energy Obtained by Wave Energy System
As one of the renewable energy, the absorption and utilization of wave energy is always an important research field home and abroad, and energy absorption efficiency is the key. A wave energy absorption system based on inertial pendulum is presented, and
Zhang Ying +3 more
core +1 more source
Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen +8 more
wiley +1 more source
This study presents a ″trash‐to‐treasure″ strategy that converts harmful joint overloads into beneficial electrical cues. The biodegradable MagPie, by providing piezoelectrical stimulation and releasing Mg2+ during mastication, exerts synergistic pro‐regenerative and anti‐inflammatory effects on Prg4+ cells via the ECM‐mediated FAK‐PI3K‐Akt axis ...
Shi‐Yang Feng +10 more
wiley +1 more source
Application of deep learning for division of petroleum reservoirs
Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
doaj +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Financial production marketing prediction based on optimization GA-BP neural network
The traditional BP neural network has some application problems.For example,the network structure parameter is too dependent on experience and easy to fall into local solution.In order to improve the application defects of BP neural network model,the ...
Xin JIN, Yi-an PAN, Jing WU
doaj +2 more sources
Advance prediction and control of vibration velocity during blasting construction is essential to protect the tunnel and surrounding buildings. In this study, we propose an Improved Particle Swarm Optimization (IPSO) Backpropagation (BP) Neural Network ...
Yawen Cao +5 more
doaj +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Prediction of Coal Production Based on BP Neural Network
It is significance to predict coal production for balancing coal supply and demand in China. The primary goal of this research is the prediction of coal production in china. The method used in the study is known as the BP neural network.
Ming Ming Wen
core +1 more source

