Abstract Background Schistosomiasis, caused by Schistosoma japonicum, remains one of the most important parasitic diseases, and detection of S.japonicum infections in humans plays a crucial role in control and Motor Base treatment.However, comparisons between the parasitological and the immunological examinations in the fields of China are lacking.
A small-scale grid-connected PV system that is easy to install and is inexpensive as a remote Mugs/Cups/Tumblers monitoring system may cause economic losses if its failure is not found and it is left unattended for a long time.Thus, in this study, we developed a low-cost fault detection remote monitoring system for small-scale grid-connected PV sys
We designed the wire monopole antenna bent at three points by applying a machine learning technique to achieve a good impedance matching characteristic.After performing the deep neural network (DNN)-based training, we validated our machine learning model by evaluating mean squared error and R-squared score.Considering the mean squared error of Rock
Ornamental fishes of the Western Ghats of India have great demand in the export market.At present these fishes are collected from the wild and exported.Hence many times, the demand could not be met due to short supply.The only remedial measure for a sustainable supply is to produce the fish in captive conditions.Unfortunately, the breeding technolo