Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients

Publication date: Available online 22 February 2020Source: Journal of BiotechnologyAuthor(s): Vinoj Chamilka Liyanaarachchi, Gannoru Kankanamalage Sanuji Hasara Nishshanka, Pemaththu Hewa Viraj Nimarshana, Thilini Udayangani Ariyadasa, Rahula Anura AttalageAbstractArtificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological systems. In the present study, an ANN model was developed upon multilayer perceptron neural network architecture with 23-20-1 configuration to predict the cell concentration of microalga Chlorella vulgaris at a given time. Irradiance level, photoperiod, temperature, air flow rate, CO2 percentage of the air stream, initial cell concentration, cultivation time and the nutrient concentrations of the media were considered as the input variables of the model. Resilient backpropagation learning algorithm was used to train the model by means of 484 experimental data belonging to four studies. Bias and accuracy factors of the developed model fall into the range of 0.95–1.11 indicating the model has an excellent prediction ability. Parity plot showed a good agreement between the predicted and experimental values with R2 = 0.98. Relative importance of the inputs was evaluated using Garson’s algorithm. The results of the study indicated that CO2 supply had the highest impact on the growth of C. vulgaris within the selected range of input parameters. Among macronutrients and micronutrients, highest infl...
Source: Journal of Biotechnology - Category: Biotechnology Source Type: research

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CONCLUSION: Extensive research have been carried out on various process for preparing Bortezomib and composition thereof. This type of dynamic research will clear the path for many generic players in the United States which lead in reduction of price of the composition and thereby enhancing global health care at cheaper prices. PMID: 32234004 [PubMed - as supplied by publisher]
Source: Recent Patents on Anti-Cancer Drug Discovery - Category: Cancer & Oncology Tags: Recent Pat Anticancer Drug Discov Source Type: research
FDA has granted Emergency Use Authorization (EUA) to Battelle's CCDS Critical Care Decontamination System for processing up to 80,000 respirator masks per system each day. CCDS employs concentrated, vapor-phase hydrogen peroxide (VPHP) for decontamination. The system has been validated to decontaminate masks of SARS-CoV-2, the company reported. The masks are placed on shelves inside a container, and a portable, external VPHP system is hooked up to the outside of container. The system was first envisioned by Battelle as part of a study commissioned by FDA in 2015. That study involved determining the feasibility of N95 respi...
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