A STUDY OF CHLOROPHYLLIN OF MEDICINAL PLANTS, ITS CHEMICAL CHARACTERIZATION AND ANTI–PROLIFERATIVE ACTIVITY WITH SPECIAL REFERENCE TO SOLANUM TRILOBATUM L. ON LIVER CELL LINE

Objective: Plants are the richest source of bioactive compounds and they have been used as medicine also. Chlorophyllin (CHL) is water-soluble derivative of chlorophyll (chl) in which magnesium has been replaced with copper and the phytol chains lost. Chlorophyllin has been used by human population for over 50 y for medicinal purposes with no adverse effects. Chlorophyllin is a promising chemo preventive agent to block cancer primarily by inhibiting carcinogen such as AFB1. The objective was to extract the bioactive pigment chlorophyllin from medicinal plants and to study its anticarcinogenic property on liver cell lines.Methods: In the present study the bioactive pigment, chlorophyllin was extracted and estimated from six medicinal plant leaves and characterized by IR and NMR. Further, based on the high chlorophyllin content (12.21µg/ml), Solanum trilobatum L. was selected for the study of anticarcinogenic property against two types of cell lines: HepG2 cell lines (Human Hepatocellular Carcinoma) and Vero cell lines (African Green Monkey kidney).Results: It was found that the inhibitory effect of chlorophyllin was found on cancer cell lines (IC50 value at 48H was 62.5μg/ml) and absent on Vero cell lines. Standard chlorophyllin was used as control for all the studies.Conclusion: This is the first report on the effect of natural chlorophyllin from the leaves of Solanum trilobatum L. on HepG2 cell lines. The in vitro data suggests that the consumption of the leaves of Solanum trilobatum L. or as chlorophyllin may impart anticancer effects.Â

Developing a Decision Support Testing Algorithm to Detect Severity Level of Dengue

Dengue is a vector borne disease that has become a global threat. In order to reduce the mortality rate early detection of dengue severity level is crucial. This study is an extension of the decision models developed individually for inflammatory mediators and immune parameters. The objective of this study is to improve the individual models by considering their combined effect and to improve the decision making at 96 hours from onset of illness. In order to combine these, three approaches are attempted including, combining together the individual full models on inflammatory mediators and immune parameters, combining the immune parameters based model with decision tree informed cytokines and implementing a decision tree informed model with immune parameters and inflammatory mediators. The decision tree algorithm that is used in model development is Improved ID3 algorithm. The decision tree based model is a two-step decision system with the initial decision being made using the parameters TNF-?, IL-10, dengue NS1 antigen and dengue IgG antibody and, the operator values above 0.4413, are then subjected to the second test including platelet and Platelet Activating Factor. The decision tree based model performed well with an accuracy of 76.19% and 82.3% of DHF patients were correctly classified. Sensitivity analysis indicated the model to be robust

NATURAL PRODUCTS AS AN IMPORTANT LEADS FOR DISCOVERY OF NEW ANTITUBERCULAR AGENTS: A REVIEW

There is a very much need for a discovery of new molecules a potent molecule that can cure tuberculosis and prevent the recurrence. A multidisciplinary approach is required to procure a potent bioactive compound and this includes expertise in the fields of ethnobotany, ethnopharmacology and Phytochemistry. The present communication acts as a bioprospecting source for the drug discovery against tuberculosis, including several anti tubercular agents which is used by used by tribal people and prescribed by THPS which showed a good inhibition rate. Therefore, this review strives to describe the literature on the traditional plants/potent molecules those have been proved to have antimicrobial activity and to provide essential discussion and accelerate the research.Â

Determination of gestational age: correlation between foetal biometry and transverse cerebellar diameter in women with uncomplicated pregnancy

Background: Transverse Cerebellar Diameter (TCD) serves as a reliable predictor of gestational age in foetus and is a standard against which aberrations in other foetal parameters can be compared, especially when the GA cannot be determined by the date of last menstrual period or early pregnancy scan, TCD is one foetal parameter that has remained consistently superior in predicting gestational age in both singleton and twin gestation. Aim of the study was to assess and evaluate the effectiveness of transverse cerebellar diameter by using ultrasonography for determining the gestational age of the foetus.Methods: A cross-sectional study was done in 100 uncomplicated pregnant patients between the 15th week of gestation to term referred from routine antenatal clinic in outpatient and in-patient department of Obstetrics and Gynecology department of Vinayaka Mission Krupananda Variyar medical college and hospital, Salem during study period April 2015-March 2016. TCD is obtained in the axial plane in the cerebellar view i.e. with a slight rotation of the transducer approximately 30° from the conventional thalamic plane where the biparietal diameter is measured using the cavum septi pellucidi, third ventricle and thalami as landmarks.Results: The correlation of transcerebellar diameter (TCD) with that of BPD (bi-parietal diameter) had shown a perfect positive correlation (r = 0.978) and a similar type of correlation was also seen with HC (head circumference) (r = 0.979), AC (abdominal circumference) (r = 0.966), FL (femur length) (r = 0.976) and USG GA (ultrasonogram gestational age) (r = 0.983).Conclusions: In the normally developing foetus, the TCD increases in a linear fashion with advancing gestational age. The data of this study suggest foetal TCD on ultrasound is a reliable predictive biometric parameter of gestational age

Automatic Attendance Monitoring System

The attendance is taken in every organization. Traditional approach for attendance is, professor calls student name & record attendance. For each lecture this is wastage of time. To avoid these losses, we are about to use automatic process which is based on image processing. In this project approach, we are using face detection & face recognition system. The first phase is pre-processing where the face detection is processed through the step image processing. It includes the face detection and face recognition process. Second phase is feature extraction. Step by step execution of these techniques (Image Processing) helps to achieve the final output. The working of this project is to detect and recognize the face and mark the attendance for the corresponding face in the database. Input of this project is face detection and recognition and output is to mark the attendance. Our project is being presented as a solution for the Automatic Attendance Marking System. It is designed to be reliable and low power. The Automatic face detection and recognition proposed to attendance marking in database acts as the solution for the automatic attendance marking system.

Support Vector Machine based Image Classification for Deaf and Mute People

A hand gesture recognition system provides a natural, innovative and modern way of nonverbal communication. It has a wide area of application in human computer interaction and sign language. The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition; in the existing technique, ANFIS(adaptive neuro-fuzzy interface system) to recognize gestures and makes it attainable to identify relatively complex gestures were used. But the complexity is high and performance is low. To achieve high accuracy and high performance with less complexity, a gray illumination technique is introduced in the proposed Hand gesture recognition. Here, live video is converted into frames and resize the frame, then apply gray illumination algorithm for color balancing in order to separate the skin separately. Then morphological feature extraction operation is carried out. After that support vector machine (SVM) train and testing process are carried out for gesture recognition. Finally, the character sound is played as audio output

A classic triphasic pleomorphic adenoma of nasal cavity mimicking as malignancy: a rare case report

Pleomorphic adenoma (PA) is the most common benign tumor of major salivary glands and intra nasal PA is unusual which may be misdiagnosed as malignancy. A 65-year-old female presented with unilateral nasal bleeding and nasal obstruction in right nasal cavity for 6 months. Local examination showed polypoid mass which surgically excised. HPE showed classic triphasic component of epithelial, myoepithelial with cartilaginous stromal elements and pathological diagnosis of PA made. High cellularity of tumor and predominant squamous epithelial component with keratin pearl created diagnostic confusion of malignancy and it confirmed by immune-histochemistry using p63 to demonstrate presence of myoepithelial component. Highlighted this case report for its unusual location and rare triphasic component of tumor tissue with keratin pearl formation which mimic as malignancy

A study on the symptoms, sleep quality and cognitive function of the women during menopause

Background: Menopause is the time that marks the end of your menstrual cycle. It is a natural biological process. But the physical symptoms, such as hot flashes, and emotional symptoms of menopause may disrupt your sleep, lower your energy or affect emotional health. The primary objective of the study was to evaluate the pattern of symptoms among women during menopause. The secondary objective was to assess the sleep quality and cognitive function of the women during menopause and to create awareness and educate rural women regarding menopause. Methods: A cross-sectional observational study was carried out in and around B. G. Nagar, Nagamangala, Mandya for 6 months. Results: A total of 504 women were enrolled in the study. Out of 504, 224 (44.4%) participants come under perimenopause, 117 (23.31%) participants come under perimenopause and 163 (33.34%) participants comes under post menopause. After filling out the questionnaire it was observed that there was a decline in cognitive function of postmenopausal women along with poor sleep quality. When the age group of the participants was compared with the different symptoms of menopause a significant relation was found between the age category of the participants and the somatic symptoms. A significant relation was found between the sexual activity and with the somatic symptoms (p=0.00**), psychological symptoms (p=0.00**) and urogenital symptoms (p=0.00**) of the participants. Conclusions: As women passes from premenopausal to perimenopause to post menopause menopausal symptoms were increased. The menopausal transition and postmenopausal years are associated with significant symptoms

Antimicrobial and Antioxidant activity of Anaphalis lawii (Hook.f.) Gamble

The present study was undertaken to investigate antimicrobial and  antioxidant activities of leaf and flower extracts of Anaphalis lawii (Hook.f.) Gamble (Compositae). The powdered leaves and flowers were extracted with methanol in soxhlet extraction assembly. The antimicrobial activity of leaf extract (LE) and flower extract (FE) were determined against a panel of 9 bacteria and 2 fungi by Agar well diffusion method. Antioxidant activity of LE and FE was screened by DPPH free radical scavenging, Ferric reducing and Metal chelating activity. Total phenolic content and flavonoid content of extracts was determined by Folin-Ciocalteu method and Aluminium  chloride colorimetric estimation method respectively. Both LE and FE  caused inhibition of test bacteria and fungi in a concentration dependent manner. Gram positive bacteria were more susceptible to LE and FE when compared to Gram negative bacteria. On comparing with Candida albicans,susceptibility to extracts were found higher in Cryptococcus neoformans. The LE and FE dose dependently scavenged DPPH free radical with IC50 value of 6.01 and 5.20ìg/ml respectively. An increase in the absorbance of reaction mixture with increase in concentrations of extracts showed  reducing potential of LE and FE in ferric reducing assay. In metal chelating assay, both LE and FE caused chelation of ferrous ion with IC50 value of 180.98 and 152.89ìg/ml respectively. The phytochemical analysis revealed the presence of flavonoids, saponins and tannins in both the extracts. Total phenolic and flavonoid contents were high in FE than LE. Overall, FE showed potent antioxidant and antimicrobial activity when compared with LE and it could be related to the high phenolic and flavonoid content in FE. Further studies on isolation of active principles from extracts and testing their bioactivities are to be carried out