STUDIES ON FLORAL CHARACTERS AND SEX REVERSAL IN CARICA PAPAYA

Fruits are the healthiest food with minerals, vitamins, antioxidants etc. Growing fruit trees in home gardens assure fresh and quality fruits. In the present work, cutting the male papaya plant at its base make them to sex reversal and thereby develop into hermaphrodite papaya plant. In the first time of flowering season it produces hermaphrodite flowers but does not produce fruits. All the flowers will drop down, but in second flowering season it develops fruit but they are not bulky, it is elongated. On microscopic studies it is observed that number of ovule development is more in hermaphrodite flowers than in female flower.</jats:p

A Survey on Machine Learning Algorithms for Vision State Classification and Prediction Through Electroencephalogram (EEG) Signal

Eye state ID is a sort of basic time-arrangement grouping issue in which it is additionally a problem area in the late exploration. Electroencephalography (EEG) is broadly utilized in a vision state in order to recognize people perception form. Past examination was approved possibility of AI &amp; measurable methodologies of EEG vision state arrangement. This research means to propose novel methodology for EEG vision state distinguishing proof utilizing Gradual Characteristic Learning (GCL) in light of neural organizations. GCL is a novel AI methodology which bit by bit imports and prepares includes individually. Past examinations have confirmed that such a methodology is appropriate for settling various example acknowledgment issues. Nonetheless, in these past works, little examination on GCL zeroed in its application to temporal-arrangement issues. Thusly, it is as yet unclear if GCL will be utilized for adapting the temporal-arrangement issues like EEG vision state characterization. Trial brings about this examination shows that, with appropriate element extraction and highlight requesting, GCL cannot just productively adapt to time-arrangement order issues, yet additionally display better grouping execution as far as characterization mistake rates in correlation with ordinary and some different methodologies. Vision state classification is performed and discussed with KNN classification and accuracy is enriched finally discussed the vision state classification with ensemble machine learning model.</jats:p

Antitumor and antimicrobial activities and inhibition of in-vitro lipid peroxidation by Dendrobium nobile

The aim of the study was to determine the antitumor and antimicrobial activities as well as the inhibition of in vitro lipid peroxidation evoked by Dendrobium nobile. Antimicrobial activity of different solventextracts of flowers and stem of D. nobile against Escherichia coli, Bacillus subtilis, Proteus, Salmonella typhi and Staphylococcus aureus were analyzed separately. The swiss albino mice were induced withDalton’s Lymphoma Ascites (DLA) cell lines and the antitumor effect of D. nobile was studied by administering orally the aqueous extracts of the flowers of D. nobile. The antitumor activity was measured in DLA cell line induced mice. Inhibition of in vitro lipid peroxidation activity of the D. nobile in both liver homogenate and RBC ghosts was also carried out. The aqueous extracts of stem and flower of D. nobile showed better zone of bacterial inhibition than that of ethanol and chloroformextracts. The plant extracts treated DLA cell induced mice showed better tumor regression, and the flowers of the plant inhibited the in vitro lipid peroxidation, significantly. The present work indicatesthat the D. nobile flower extracts possessed antimicrobial and antitumor properties in addition to antiperoxidative activity

Structural compromise of disallowed conformations in peptide and protein structures

Using a data set of 454 crystal structures of peptides and 80 crystal structures of non-homologous proteins solved at ultra high resolution of 1.2 Å or better we have analyzed the occurrence of disallowed Ramachandran (φ, ψ) angles. Out of 1492 and 13508 non-glycyl residues in peptides and proteins respectively 12 and 76 residues in the two datasets adopt clearly disallowed combinations of Ramachandran angles. These examples include a number of conformational points which are far away from any of the allowed regions in the Ramachandran map. According to the Ramachandran map a given (φ, ψ) combination is considered disallowed when two non-bonded atoms in a system of two-linked peptide units with ideal geometry are prohibitively proximal in space. However, analysis of the disallowed conformations in peptide and protein structures reveals that none of the observations of disallowed conformations in the crystal structures correspond to a short contact between non-bonded atoms. A further analysis of deviations of bond lengths and angles, from the ideal peptide geometry, at the residue positions of disallowed conformations in the crystal structures suggest that individual bond lengths and angles are all within acceptable limits. Thus, it appears that the rare tolerance of disallowed conformations is possible by gentle and acceptable deviations in a number of bond lengths and angles, from ideal geometry, over a series of bonds resulting in a net gross effect of acceptable non-bonded inter-atomic distances