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Cardiovascular disease (CVD) is a fatal disease that causes increased death in developing and developed nations. Among the various reasons, the increase in carotid intima media thickness (CIMT) is also a significant reason for CVD. It is expected to increase the death rate due to CVD up to 24.2 million by 2030. In previous studies, CIMT alone has been considered to identify the risk of CVD. In the proposed research, along with CIMT, the Framingham risk score (FRS) parameter was also calculated for both diabetic and normal subjects, which gives an accurate prediction of cardiovascular disease. CIMT was measured in 55 normal subjects and 55 diabetic subjects using a highly efficient ultrasound scanning device. Framingham risk score (FRS) was calculated for the 110 subjects based on the obtained demographic variables and biochemical parameters. The receiver operating characteristics (ROC) curve was plotted for CIMT with FRS which showed a sensitivity of 73% for CIMT. ROC curve plotted for FRS with fasting blood sugar and postprandial blood sugar showed a sensitivity of 80% and 81%, respectively. The performance was calculated based on different classification techniques. Results showed that support vector machine and multilayer perceptron classifier was classified with greater accuracy of 83.3% for 110 subjects. Further to improvise the analysis, the image data of the 110 subjects are augmented to 1809 image data and transfer learning techniques were applied using VGG16 and greater accuracy of 99% was achieved. [ABSTRACT FROM AUTHOR]

Abstract Methyl paraoxon (MOX) is a highly toxic organophosphate pesticide. It is recently reported that, MOX can enter the human body through ingestion, inhalation, or by dermal penetration. Due to its high non-degradability, it can bind to the tissues of fruits and vegetables. When it is consumed, it can imposes sub-chronic and chronic diseases, by the inhibition of acetylcholinesterase in human metabolism. Therefore, for the first time, we reported a detection of non-enzymatic electrochemical sensor based on 3D porous phase graphene oxide sheets encapsulated chalcopyrite (GOS@CuFeS 2) nanocomposite. Hence, the development of reliable sensors for the real-time detection of pesticides is imperative to overcome practical limitations encountered in conventional methodologies. As synthesized GOS@CuFeS 2 nanocomposite film screen-printed carbon modified electrode (SPCE) displays excellent electrocatalytic ability towards MOX. Under optimized working conditions, the modified electrode provides linear response range from 0.073 to 801.5 μM. The detection limit was obtained as 4.5 nM. The sensor displayed outstanding sensitivity as 17.97 μA μM−1 cm−2. This composite could be a promising electrode modifier for electrocatalysis. Finally, the GOS@CuFeS 2 nanocomposite modified electrode shows greater real-time practicality in vegetable real samples. The obtained moral parameters from the developed method were compared with the authenticated HPLC results. [ABSTRACT FROM AUTHOR]

Some of the industries that discharge highly colored effluents are paper and pulp mills, textiles and dye-making industries, alcohol distilleries and leather industries. Terrestrial white-rot basidiomycetous fungi and their lignindegrading enzymes laccase, manganese-peroxidase and lignin peroxidases are useful in the treatment of colored industrial effluents and other xenobiotics.In the present study different 13 species of fungi were isolated from the effluent. Among the isolated fungi Aspergillus was the dominant genus in the effluent.Except dissolved oxygen, all other parameters showed decreased level when compare to control.The BOD and COD level were reduced significantly. Immobilized Aspergillus showed better removal of pollutants than free cells of Aspergillus. [ABSTRACT FROM AUTHOR]