No abstract

For a very long time, the medical plants have been used worldwide to treat human diseases and it serves as a safe source of drugs to cure several diseases and conditions through complementary medicine system. It is a native plant of Indian subcontinent, Africa and North Australia and is known to have significant pharmacological activities. The wide range of pharmacological activities of D.cinerea are due to the presence of different groups of active biological compounds present in it. Traditionally, D.cinerea has been used for the treatment the treatment of many diseases such as headache, toothache, dysentery, leprosy, coughs, syphilis and also as diuretic, anthelmintic, purgative and laxative. Research on the pharmacological, biological isolation of metabolites and biologically active compounds of this plant have already been done worldwide. However, the study to evaluate the complete therapeutic values of this plant still needed to conduct. This paper briefly reviews the various pharmacological properties of D.cinerea that could be useful for further experimental and clinical investigations.

In big data and machine learning, energy analytics has shown rapid development in the past decade. With this development in energy analytics, the energy data has exponentially increased well in different areas and domains. Energy computing techniques have been used in various domains, particularly in energy data to handle the data analysis process. This paper focuses on explaining the concept and evolution of various research questions formulation, data extraction, quality valuation, search strategy, study selection and reporting the results in energy-oriented domains to evaluate energy-computing techniques. The thermal power plant, power system and smart grid datasets were highly used out of plenty of other datasets discussed and the ANN algorithm is most commonly used to classify the dataset. Different sets of algorithms are used for data analysis, classification, converting structured data to unstructured data, regression, visualization, and forecasting. Journal publications from the year 2012 to 2020 have reviewed and adopted a systematic approach to identify the findings of all relevant research methodologies in the defined research domain.

No abstract

No abstract