Eye Disease Prediction Among Corporate Employees using Machine Learning Techniques

In the IT sector, employees use systems for more than 6 hs, so they are affected by many health problems. Mostly In the IT sector, employees are affected with eye diseases like eye strain, eye pain, burning sensation, double vision, blurring of vision, and frequent watering. The major goal of this research is to identify the different types of eye problems encountered, the symptoms present, and the population afflicted by eye diseases in order to accurately forecast outcomes using a Machine learning techniques for real-time data sets.Additional Notes: Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved

Operating Different Displays in Military Fast Jets Using Eye Gaze Tracker

This paper investigated the use of an eye-gaze-controlled interface in a military aviation environment. We set up a flight simulator and used the gaze-controlled interface in three different configurations of displays (head down, head up, and head mounted) for military fast jets. Our studies found that the gaze-controlled interface statistically significantly increased the speed of interaction for secondary mission control tasks compared to touchscreen- and joystick-based target designation system. Finally, we tested a gaze-controlled system inside an aircraft both on the ground and in different phases of flight with military pilots. Results showed that they could undertake representative pointing and selection tasks in less than two seconds, on average

DFT investigation of pachypodol for exploring anti-oxidant action – Performance of B3LYP and M06-2X

952-961Anti-oxidant mechanism of the pachypodol is computed with the aid of density functional theory (DFT) in the light of B3LYP (B3, Lee-Yang-Parr correlation function) and M06-2X (highly parameterized, exchange correlation function) using 6-311G(d,p) basis set in the Gaussian 09 software package. This investigation aims to prove the better reaction enthalpies among hydrogen atom transfer (HAT), sequential proton-loss electron-transfer (SPLET) and single electron transfer-proton transfer (SET-PT) in gas and solvent phases with both the level of theories (B3LYP and M06-2X). The result shows that the preferred anti-oxidant mechanism is found to be HAT in both gas and solvent phases. The analysis of bond dissociation enthalpy (BDE) has been carried out in gas and solvent phases. Molecular descriptors are analyzed and computed in the light of both the level of theories. The radical scavenging of pachypodol is well established with B3LYP theory, since it yields appreciable results with respect to BDE, IP and PDE than M06-2X level of theory. Fukui function of the compound is performed using both the level of theories and preferred electrophilic and nucleophilic sites of pachypodol are analyzed. The weak and strong intramolecular bonds are examined with the aid of NBO

DFT studies on role of methoxy group in radical scavenging ability of quebrachitol and viscumitol

The structure of quebrachitol and the influence of methoxy group on its radical scavenging ability is investigated by DFT studies. To study its electron donating ability, bond dissociation enthalpy (O-H BDE), frontier molecular orbitals (FMOs), molecular electrostatic potential (MEP) and molecular descriptors of quebrachitol and viscumitol are computed and compared. Charge delocalization and stability of the compounds are analyzed by natural bond orbital (NBO) method. The 4-OH radical of quebrachitol and 3-OH radical of viscumitol possess the least BDE and exhibit weak intramolecular hydrogen bonds which are clearly illustrated by NBO. The results show that quebrachitol, which has one methoxy group, can act as better radical scavenger than viscumitol having two methoxy groups at the same ring. The fundamental vibrational modes and wave numbers of quebrachitol are characterized theoretically based on potential energy distribution

Estimation of morphological and molecular genetic diversity in blackgram [Vigna mungo (L.) Hepper] under YMV hotspot regime

A phenotypic and molecular diversity study was conducted using seven traits and 19 SSR markers in a collection of 26 black gram genotypes. Phenotypic characterization was based on seven yield and yield related variable. The  field experiment  was  laid  out  at  Panboli village (YMV hotspot)  of Tirunelveli District in Tamilnadu during summer 2017. Genetic divergence was estimated on the basis of D2 values and 26 genotypes under study were grouped into six clusters by Tocher’s method. Seed yield per plant followed by Plant height and number of pods per plant contributed to the genetic divergence. The genetic distance announced using DICE dissimilarity co-efficient indicated highest divergence of 1.0 between VBN 8 and AUBG 17 and between VBN 8 and AUBG 19. The dendogram constructed using the DICE dissimilarity co-efficient between genotypes showed four apparent clusters based on marker allele distribution. Divergence was noted between the dissimilarity matrices based on the molecular and phenotypic diversity based on agronomic data.&nbsp

A study on polyethylene microencapsulation of textile sludge

319-323An attempt has been made to encapsulate heavy metals and dyes present in textile sludge using low density polyethylene (LDPE) and assess usability of encapsulated product for building construction. Sludge samples were encapsulated into LDPE with calcium oxide (additive) at four different proportions (35, 40, 50 and 60 %) of sludge. Encapsulated cubes were formed and then tested for compressive strength. Maximum compressive strength of cubes (size, 7.06 cm) containing sludge (50%) for sample 1 (21.07 N/mm²) and sample 2 (17.55 N/mm²) was more than that of standard M15 mortar cubes. Encapsulated product could be recommended for use in the construction of non-load bearing walls. TCLP study revealed that leaching of dyes and heavy metals (Cu, Ni, Pb and Cr) has been effectively reduced after encapsulation process