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General deep learning framework for emissivity engineering

Chinese scientists developed a deep learning framework to optimize wavelength-selective thermal emitters (WS-TEs) for applications like radiative cooling and ga
Natural Science Foundation Of Hubei Province Knowledge Innovation Shuguang Program School Of Energy Bilateral Joint Research Program Of Wuhan National Laboratory For Optoelectronics National Natural Science Foundation Of China

Frontiers | A rapid and reliable method for the determination of Lactiplantibacillus plantarum during wine fermentation based on PMA-CELL-qPCR

Real-time monitoring of microbial dynamics during fermentation is essential for wine quality control. This study developed a method that combines the fluorescent dye propidium monoazide (PMA) with CELL-qPCR, which can distinguish between dead and live microbes for Lactiplantibacillus plantarum. This method could detect the quantity of microbes efficiently and rapidly without DNA extraction during wine fermentation. The results showed that (1) the PMA-CELL-qPCR enumeration method developed for L....
United States New Jersey La Banda San Diego Propidium Monoazide Bio Rad

Frontiers | Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network

Hodgkin-Huxley (HH) -type model is the most famous computational model for simulating neural activity. It shows the highest accuracy in capturing neuronal spikes, and its model parameters have definite physiological meanings. However, HH-type models are computationally expensive. To address this problem, a previous study proposed a spike prediction module (SPM) to predict whether a spike will take place 1 ms later based on three voltage values with intervals of 1ms. Although SPM does well, it fa...
United Kingdom City Of Noadaptation Fohlmeister Noadaptaton Wang Cerebellumorphic Yang Cambridge University

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