COLOR CONVERSION AND WATER SHED SEGMENTATION FOR RGB IMAGES

In this paper we describes the conversion preserves feature discriminability and reasonable color ordering, while respecting the original lightness of colors, by simple optimization of a nonlinear global mapping. Experimental results show that our method produces convincing results for a variety of color images. The required luminance adjustments are small and always lie within 1% of the mean luminance. Since all adapting lights are of the same luminance, zero luminance adjustments (dashed lines) are predicted for the asymmetric color matches under the hypothesis that adaptation is confined to the L–2M, the S – (L + M) and the L + 2M.The recovery of shape from texture under perspective projection. This is made possible by imposing a notion of homogeneity for the original texture, according it which the deformation gradient is equal to the velocity of the texture gradient equation this work studies a method called Normalized Cut and proposes an image segmentation strategy utilizing two ways to convert images into graphs: Pixel affinity and watershed transform

Nesting Pattern Preferences of Stingless Bee, Trigona Iridipennis Smith (Hymenoptera: Apidae) in Jnanabharathi Campus, Karnataka, India

The patterning aspects of nests are receiving increased attention in nature, so we have studied it in human-dwelling environments involving repeated spatio-temporal mold of pattern. Different criteria such as nesting sites, orientations, nest characters, longevity and elevation of nests have been selected to check the level of preferences exhibited by an indigenous resident species of stingless bee, Trigona iridipennis Smith at the Jnanabharathi campus in the southern part of Bangalore (Karnataka). Nesting patterns gave a precise measurement of preference level exhibited by testing different paradigms. The deciduous, shrub type of vegetation helped for successful dominance in higher number of nests to thrive well, which in turn helped to look at the varying patterns of nests. Observations on different nests revealed: i. preference for the habitats made of walls, ii. north facing direction for nest opening, iii. different type of nests with oval-shaped opening and medium-sized exposure outside, iv. nests with more accumulation of mud, resin and wax deposits and v. bees preferring middle elevation range of 11-15 feet for nest-building purely depending on the safer strategies such as availability of flora, protection from predators for better and safe survival at the nesting sites

A prospective, open label, randomized-controlled study to evaluate the efficacy and safety of MyVir tablets in mildly symptomatic COVID-19 patients

Background: Coronavirus can cause pneumonia, respiratory failure and death. The emergence of novel coronavirus has posed a challenging situation that warrants urgent global attention. Currently there was no effective therapy available for COVID-19 and hence antiviral and immune modulators are most sought after medicines to manage complications of COVID-19.Methods: In this study involving mild COVID-19 we randomized 42 patients to receive a MyVir tablets twice daily along with standard of care (SOC) or SOC alone in 1:1 ratio for 14 days. We evaluated the benefits of MyVir tablets by assessing clinical outcomes and improvement in immune markers (LDH, CRP, D-dimer, TLC).Results: At the end of the study the immune markers in MyVir group improved significantly compared to control group. In patients who received MyVir, CRP decreased from 3.3 mg/l to 1.7 mg/l (p=0.0171). D-dimer decreased from 0.589 on day 0 to 0.368 on day 14 (p=0.03) and LDH decreased from 224 U/l on day 0 to 158 U/l on day 14 in test group (p=0.05). TLC showed favorable improvement in study group compared to control group. Early recovery from COVID-19 symptoms was observed in patients on MyVir treated group. Patients treated with MyVir tablets reduced the duration of hospitalization when given along with standard of care.Conclusions: MyVir accelerated recovery of COVID-19 patients by early improvement in clinical symptoms and immune markers in this study and results clearly indicates that MyVir tablets has antiviral, immune booster activity. Hence this study provides evidence that MyVir has definitive role in the management of mild COVID-19 patients along with standard of care (funded by Mi Lab Life Sciences(P) Ltd. CTRI no. CTRI/2020/05/024967)

Optimal Ensemble Learning Based on Distinctive Feature Selection by Univariate ANOVA-F Statistics for IDS

Cyber-attacks are increasing day by day. The generation of data by the population of the world is immensely escalated. The advancements in technology, are intern leading to more chances of vulnerabilities to individual’s personal data. Across the world it became a very big challenge to bring down the threats to data security. These threats are not only targeting the user data and also destroying the whole network infrastructure in the local or global level, the attacks could be hardware or software. Central objective of this paper is to design an intrusion detection system using ensemble learning specifically Decision Trees with distinctive feature selection univariate ANOVA-F test. Decision Trees has been the most popular among ensemble learning methods and it also outperforms among the other classification algorithm in various aspects. With the essence of different feature selection techniques, the performance found to be increased more, and the detection outcome will be less prone to false classification. Analysis of Variance (ANOVA) with F-statistics computations could be a reasonable criterion to choose distinctives features in the given network traffic data. The mentioned technique is applied and tested on NSL KDD network dataset. Various performance measures like accuracy, precision, F-score and Cross Validation curve have drawn to justify the ability of the method

Constitutive expression and localization of cytochrome P-450 1A1 in rat and human brain: presence of a splice variant form in human brain

Cytochrome P-450 function as mono-oxygenases and metabolize xenobiotics. CYP1A1, a cytochrome P-450 enzyme, bioactivates polycyclic aromatic hydrocarbons to reactive metabolite(s) that bind to DNA and initiate carcinogenesis. Northern and immunoblot analyses revealed constitutive expression of Cyp1a1 and CYP1A1 in rat and human brain, respectively. CYP1A1 mRNA and protein were localized predominantly in neurons of cerebral cortex, Purkinje and granule cell layers of cerebellum and pyramidal neurons of CA1, CA2, and CA3 subfields of the hippocampus. RT-PCR analyses using RNA obtained from autopsy human brain samples demonstrated the presence of a splice variant having a deletion of 87 bp of exon 6. This splice variant was present in human brain, but not in the liver from the same individual, and was absent in rat brain and liver. Structural modeling indicated broadening of the substrate access channel in the brain variant. The study demonstrates the presence of a unique cytochrome P-450 enzyme in human brain that is generated by alternate splicing. The presence of distinct cytochrome P-450 enzymes in human brain that are different from well-characterized hepatic forms indicates that metabolism of xenobiotics including drugs could occur in brain by pathways different from those known to occur in liver

Optimal Ensemble Learning Based on Distinctive Feature Selection by Univariate ANOVA-F Statistics for IDS

Cyber-attacks are increasing day by day. The generation of data by the population of the world is immensely escalated. The advancements in technology, are intern leading to more chances of vulnerabilities to individual’s personal data. Across the world it became a very big challenge to bring down the threats to data security. These threats are not only targeting the user data and also destroying the whole network infrastructure in the local or global level, the attacks could be hardware or software. Central objective of this paper is to design an intrusion detection system using ensemble learning specifically Decision Trees with distinctive feature selection univariate ANOVA-F test. Decision Trees has been the most popular among ensemble learning methods and it also outperforms among the other classification algorithm in various aspects. With the essence of different feature selection techniques, the performance found to be increased more, and the detection outcome will be less prone to false classification. Analysis of Variance (ANOVA) with F-statistics computations could be a reasonable criterion to choose distinctives features in the given network traffic data. The mentioned technique is applied and tested on NSL KDD network dataset. Various performance measures like accuracy, precision, F-score and Cross Validation curve have drawn to justify the ability of the method

Genetics of fertility restoration in Sunflower (Helianthus annuus L.)

ABSTRACT For employing diverse CMS lines belonging to different cytosterile sources in breeding programmes, knowledge on genetics of fertility restoration is pre requisite. With this objective an investigation was carried out to study the genetics on fertility restoration Fourteen crosses were made for studying the genetics of fertility restoration, five possessing PET1, three possessing PET 2, four with GIG1 and two with ARG cytoplasmic sources. Among these fourteen fertile crosses studied, F 2 segregation of 11 crosses revealed 3 : 1 ratio for fertile and sterile plants, respectively indicating the presence of a single dominant gene for fertility restoration. In the remaining three crosses, F 2 generation segregated in the ratio of 9 fertile and:7 sterile, suggesting the presence of two complementary genes for the fertility restoration

Anticonvulsant activity of gap-junctional blocker carbenoxolone in albino rats

Background: Gap junctions (GJs) are clusters of channels that connect the interiors of adjoining neurons and mediate electrical/electrotonic coupling by transfer of ions and small molecules. Electrotonic coupling between principal neurons via GJs is increasingly recognized as one of the mechanisms in the pathogenesis of the abnormal neuronal synchrony that occurs during seizures. Carbenoxolone the succinyl ester of glycyrrhetinic acid obtained from liquorice has been shown to have the property of blocking gap junctional intercellular communication. The objectives were to study if carbenoxolone has in-vivo anticonvulsive activity in pentylenetetrazole (PTZ) and maximal electroshock (MES) seizure models and to probe the functional role of GJs in seizures.Methods: Carbenoxolone was tested for anticonvulsive effect in albino rats subjected to seizures by the PTZ and MES at three doses 100 m/kg, 200 m/kg, 300 m/kg. In the PTZ model parameters observed were seizure protection, seizure latency and seizure duration. In the MES model parameters observed were seizure protection and seizure duration.Results: The results showed that the carbenoxolone has anticonvulsant activity in both PTZ and MES induced seizures with better protection in the PTZ induced seizures. In the PTZ model carbenoxolone produced a statistically significant increase in seizure latency, decrease in seizure duration and seizure protection. In the MES model carbenoxolone produced a statistically significant decrease in seizure duration.Conclusions: Carbenoxolone has in-vivo anticonvulsive effect and could be useful in both petitmal (absence) seizures and grand mal (generalized tonic-clonic epilepsy) seizures. The protective effect of carbenoxolone could be due to blockade of GJ channels that mediate electro tonic coupling and thereby prevent the neural synchronization that is characteristic of seizures. The study also supports the view that GJs have a functional role in the electrophysiology of seizures and GJ blockers have potential as a new class of antiepileptic drugs

Evaluation of locally-administered controlled-release doxycycline hyclate gel in smokers and non-smokers in the management of periodontitis: An Indian study

Purpose: To assess the clinical and biological effect of locally-administered controlled-release 10 % doxycycline hyclate gel in smokers and non-smokers for the management of periodontitis. Methods: Forty periodontitis patients were enrolled in this study from December 2012 to February 2013 at the Department of Periodontology and Implantology of the Institute of Dental Sciences and Dental Unit of Rohilkhand Medical College, Bareilly, Uttar Pradesh (UP), India. For each patient, probing pocket depth (PPD), clinical attachment level (CAL), plaque index (PI), gingival index (GI), and sulcular bleeding index (SBI) were recorded. Changes in microbial counts were assessed by measuring colonyforming units (CFU) of three major periodontal pathogens. Clinical and microbial parameters were recorded at baseline and one month after scaling and root planing plus controlled local drug delivery of 10 % doxycycline hyclate gel in smokers and non-smokers. Results: A statistically significant change (p < 0.01) in PPD was observed among smokers between baseline (4.26 ± 0.12mm) and re-evaluation at one month (3.20 ± 0.11) with a change of 24.88 %. A statistically significant difference was found between smokers and non-smokers in PPD at the end of a 1-month re-evaluation (p < 0.05). None of the other parameters showed improvement in smokers following treatment. Conclusion: These results indicate that 10 % doxycycline hyclate gel, when administered locally into the periodontal pocket, shows clinical and microbial improvement, among smokers and non-smokers, in the management of periodontitis. Therefore, 10 % doxycycline gel is potentially an effective therapeutic strategy in the management of periodontitis