Nanotechnology, although still in the early stages, has the potential to revolutionize the early diagnosis, treatment, and monitoring of disease progression. Technological application of nanometer molecules in medicine with the aim of fighting and curing ailments is the globally definition of nanomedicine. The success of nanotechnology in the healthcare part is driven by the possibility to work at the same scale of several biological processes, cellular mechanisms, and organic molecules. With the growing understanding of methods to functionalize nanoparticles and the continued efforts of creative scientists to advance this technology, it is likely that functionalized nanoparticles will become an important tool in the above mentioned areas. This paper describes the role of multifunctional nanoparticle in diagnosis and treatment of cancer. Therefore, the aim of this review is to provide basic information on nanoparticles, describe previously developed methods to functionalize nanoparticles and discuss their potential applications in biomedical sciences and finally mention the therapeutic nanoparticle commercialization challenges

Biodiesel is assumed a renewable and environmentally friendly fuel that possesses the potential to substitute petroleum diesel. The basic purpose of the present study is to design a precise algorithm based on Gaussian Process Regression (GPR) model with several kernel functions, i.e., Rational Quadratic, Squared Exponential, Matern, and Exponential, to estimate biodiesel properties. These properties include kinematic viscosity (KV), pour point (PP), iodine value (IV), and cloud point (CP) as a function of fatty acid composition. In order to develop this model, some variables are assumed, such as molecular weight, carbon number, double bond numbers, monounsaturated fatty acids, polyunsaturated fatty acid, weight percent of saturated acid, and temperature. The performance and efficiency of the GPR model are measured through several statistical criteria and the results are summarized in root mean square error (RMSE) and coefficients of determination (). and RMSE are sorted as 0.992 & 0.15697, 0.998 & 0.96580, 0.966 & 1.38659, and 0.968 & 1.56068 for four properties such as KV, IV, CP, and PP, respectively. It is worth to mention this point that the kernel function Squared Exponential shows a great performance for IV and PP and kernel functions Exponential and Matern indicate appropriate efficiency for CP and KV properties, respectively. On the other hand, the results of the offered GPR models are compared with those of the previous models, LSSVM-PSO and ANFIS. The outcomes proved the superiority of this model over two former models in point of estimating the biodiesel properties.

This review explains some of the most important properties of heavy oils compared to other fuels. Although there is numerous heavy oil upgrading methods, this study was focused on the production of synthesis gas. Alongside advantages, some of the limitations of using heavy oil are also explained, including high heavy oil upgrading costs. In this regard, some of the most important heavy oil upgrading methods were selected and their economic characteristics were compared.