Vimarsana
Biggest News Aggregation in the World

Open Project Program News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Open Project Program. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Open Project Program Today - Breaking & Trending Today

General deep learning framework for emissivity engineering - Vimarsana News

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

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

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. plantarum was optimized for PMA treatment concentration, PMA detection sensitivity and multiple con...

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

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 fails to evaluate the informative features of the spike. In this study, the feature prediction module ...