Thermodynamics and Kinetics of Adsorption of Alizarin Yellow from Aqueous Solutions on Saccharum spontaneum

Saccharum spontaneum is used for the removal of the industrial dye (alizarin yellow R)from aqueous solution. The effects of contact time ,temperatures , initial concentrations and pH values have been investigated . Langmuir and Freundlich isotherms are fitted on the experimental data of adsorption of the studied system. Depending on the results obtained from the effect of temperatures , the thermodynamic parameters (#916G, #916H and #916S) are estimated. The work also included kinetic study conducted by applying two kinetic models, the pseudo first and second order equations . The results proved that, the studied system follows the pseudo second order model indicated by the agreement between the experimental and calculated values of adsorption capacity (qe) at equilibrium .The concentration of the adsorbed dye is determined spectrophotometerically

Identification and ranking of recurrent neo-epitopes in cancer

BACKGROUND: Immune escape is one of the hallmarks of cancer and several new treatment approaches attempt to modulate and restore the immune system’s capability to target cancer cells. At the heart of the immune recognition process lies antigen presentation from somatic mutations. These neo-epitopes are emerging as attractive targets for cancer immunotherapy and new strategies for rapid identification of relevant candidates have become a priority. METHOS: We carefully screen TCGA data sets for recurrent somatic amino acid exchanges and apply MHC class I binding predictions. RESULTS: We propose a method for in silico selection and prioritization of candidates which have a high potential for neo-antigen generation and are likely to appear in multiple patients. While the percentage of patients carrying a specific neo-epitope and HLA-type combination is relatively small, the sheer number of new patients leads to surprisingly high reoccurence numbers. We identify 769 epitopes which are expected to occur in 77629 patients per year. CONCLUSION: While our candidate list will definitely contain false positives, the results provide an objective order for wet-lab testing of reusable neo-epitopes. Thus recurrent neo-epitopes may be suitable to supplement existing personalized T cell treatment approaches with precision treatment options

Identification and ranking of recurrent neo-epitopes in cancer

Neo-epitopes are emerging as attractive targets for cancer immunotherapy and new strategies for rapid identification of relevant candidates have become a priority. We propose a method for in silico selection of candidates which have a high potential for neo-antigen generation and are likely to appear in multiple patients. This is achieved by carefully screening 33 TCGA data sets for recurrent somatic amino acid exchanges and, for the 1,055 resulting recurrent variants, applying MHC class I binding prediction algorithms. A preliminary confirmation of epitope binding and recognition by CD8 T cells has been carried out for a couple of candidates in humanized mice. Recurrent neo-epitopes may be suitable to supplement existing personalized T cell treatment approaches with precision treatment options

Wood Density and Fiber Length of Eucalyptus Grandis Grown in Kerala, India

Wood density and fiber length of Eucalyptus grandis were studied in trees of four age groups (3, 5, 7, and 9 years). The average basic density was 495 kg m-3 at 3 years and there was no significant increase from 3 to 9 years, whereas 5-year-old trees had a significantly lower value. Fiber length increased consistently with age and fibers of 3-year-old trees (mean 0.81 mm) were about 29% shorter than those of 9-year-old trees (1.15 mm). Density did not differ significantly between the locations, but fibers were longer in one location where trees had faster growth. Density declined from stump level to 25% of tree height and then gradually increased towards the top in a curvilinear manner, whereas fiber length commonly showed the reverse trend. In 5-, 7- and 9-year-old trees, average tree density could be predicted with reasonable accuracy using breast height density, but stump level density was a better predictor of average tree density in 3-year-old trees

Ensampling Data Prediction using Sparse Data in Mobile Intelligent System

Rain is an important source of water. The Indian economy is heavily dependent on agriculture and the livelihood of Indian farmer largely depends on rains. The farms are more dependent on rainfall than any other water resource. As we observe there is a lot of climate change in recent years due to industrialization, because of these climate changes there are a lot of floods and droughts. So, it might be helpful to predict the rainfall beforehand and take necessary precautions to protect crops and other sorts of damages that might occur due to the irregular rainfall. So, we present a model that could reasonably predict the future rainfall using very fewer variables. The reason why we developed a model which uses sparse data is that sometimes it could be hard to obtain a large amount of data due to lack or improper working of recording equipment and so on. So, it will be good to have a working model in those situations and applications are implemented.This paper affords a overview of system learning and offers a brief take a look at on distinctive machine gaining knowledge of strategies together with their programs on mobile devices. It also affords an outline of overall performance-associated parameters of gadget studying techniques useful for mobile devices.</p

Evaluation of the Capacitance and Charge Distribution of Metallic Objects by Electrostatic Analysis

552-556This paper presents a numerical analysis for computation of free space capacitance of different arbitrarily shaped conductors like square plate, circular disk and T-shaped plate. Accurate evaluations of electrostatic analysis are essential for spacecraft design techniques to control electrostatic discharge (ESD). Capacitance computation is an important step in the prediction of electrostatic discharge which causes electromagnetic interference (EMI). We specifically illustrated capacitance computation of three electrostatic models. Numerical results on capacitance are presented. The results are compared with other available results in the literature. We used the COMSOL multiphysics software for the simulation. The models are designed in three-dimensional form using electrostatic environment and can be applied to any practical design. The findings of this study show that the finite element method (FEM) is a more accurate method for the computation of electrical capacitance

Analysis and Calculation of the Fluid Flow and the Temperature Field by Finite Element Modeling

This paper presents a fundamental and accurate approach to study numerical analysis of fluid flow and heat transfer inside a channel. In this study, the Finite Element Method is used to analyze the channel, which is divided into small subsections. The small subsections are discretized using higher number of domain elements and the corresponding number of nodes. MATLAB codes are developed to be used in the analysis. Simulation results showed that the analyses of fluid flow and temperature are influenced significantly by the changing entrance velocity. Also, there is an apparent effect on the temperature fields due to the presence of an energy source in the middle of the domain. In this paper, the characteristics of flow analysis and heat analysis in a channel have been investigated