301 research outputs found

    DETECTION OF PHISHING WEBSITES USING HYBRID MODEL

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    Online technologies have revolutionized the modern computing world. Thereare number of users who purchase products online and make payment through variouswebsites. There are multiple websites who ask user to provide sensitive data such asusername, password or credit card details etc. often for malicious reasons. This type ofwebsite is known as phishing website. The phishing website can be detected based on someimportant characteristics like URL (Uniform Resource Locator) and Domain identity.Several approaches have been proposed for detection of phishing websites by extracting thephishing data sets criteria to classify their legitimacy. However, there is no such approachthat can provide better results to the users from phishing attacks. This paper is an attemptto contribute in that area by presenting a hybrid model for classification to detect phishingwebsites with high accuracy and less error rate

    Maternal and fetal out come in meconium stained amniotic fluid in a tertiary centre

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    Background: This study was undertaken to determine the correlation of amniotic fluid stained with meconium (MSAF) with maternal and fetal outcome.Methods: This prospective observational study was carried out in the Department of obstetrics and gynecology, Yenepoya medical college, Mangalore over a period of 14 months between January 2013 to march 2014. A total of 1000 pregnant women who had completed more than 37weeks of gestation with singleton pregnancies & cephalic presentation were included in this study. MSAF on spontaneous or artificial rupture of membranes were monitored during labour with fetal heart rate abnormality, consistency of liquor, 1 minute and 5 minute Apgar score, LSCS, instrumental delivery, NICU admissions and neonatal complications as outcome variables.Results: Women were divided into two groups: 350 women with MSAF as cases, while 650 women with clear liquor were taken as controls. Among 350 cases with MSAF, 70 % were unbooked and 30 % were booked pts. About 75.7% of women were between 20-30 years of age-group. Primi gravidas constituted 51.4% in study group. Approximately 41.4% cases had gestational ages of 39 -39+6. Among MSAF 55.4% were thin stained & 44.5%were thickly stained. 45.7% showed fetal heart abnormalities on electronic monitoring & presence of fetal bradycardia was higher. Caesarean section rates were nearly triple in cases (45.7% vs 15.7%). Fetal out come in regard to Apgar score at birth, birth asphyxia, MAS, increased NICU admissions were more in cases. Incidence of Male to female was high (52.6% vs 47.3%).Conclusions: Presence of MSAF is worrisome for both the obstetrician and pediatricians view as it increases surgical intervention, birth asphyxia, MAS & NICU admissions

    SYNTHESIS AND ANTIBACTERIAL ACTIVITY OF MANNICH BASES CONTAINING MORPHOLINE MOIETY

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    A variety of morpholine derivatives as mannich bases were prepared through mannich reaction by reacting 4-nitro acetophenone as compound containing active hydrogen, substituted benzaldehyde and morpholine as secondary amine compound. All the synthesized compounds structures were characterized by physical analysis data and spectral analysis data (IR and 1H-NMR spectral analysis). The newly synthesized compounds were evaluated for their antibacterial activity against Staphylococcus aureus, Bacillus subtilis, Escherichia coli and Pseudomonas aeruginosa in comparision with standard drug Streptomycin. However the antibacterial activity of the synthesized compounds against the tested organisms was found to possess good to moderate activity

    Biofunctionality of Carotenoid Metabolites: An Insight into Qualitative and Quantitative Analysis

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    Epidemiological and clinical studies have shown that dietary intake of carotenoid-rich fruits and vegetables is positively correlated with reduction in age-related eye diseases, atherosclerosis, certain cancers and chronic diseases. Carotenoids consist of unique chemical characteristics and are highly vulnerable to structural modifications, leading to the formation of various derivatives under physiological conditions. The identification of these molecules is necessary before addressing their biological functions. Carotenoid metabolomics is believed to be highly complex to fingerprint due to instability and interference with complex biological matrices. Noteworthy, progress has been made in understanding carotenoid metabolism or its biotransformation in biological samples. In this regard, the chapter highlights the concept of metabolomics and their related bio-analytical techniques pertaining to the detection of carotenoids and their derived products to elucidate their bio-transformation on targeted biological functions. Further, this chapter highlights the various hyphenated analytical tools and their optimization

    Share2Quit: Web-Based Peer-Driven Referrals for Smoking Cessation

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    BACKGROUND: Smoking is the number one preventable cause of death in the United States. Effective Web-assisted tobacco interventions are often underutilized and require new and innovative engagement approaches. Web-based peer-driven chain referrals successfully used outside health care have the potential for increasing the reach of Internet interventions. OBJECTIVE: The objective of our study was to describe the protocol for the development and testing of proactive Web-based chain-referral tools for increasing the access to Decide2Quit.org, a Web-assisted tobacco intervention system. METHODS: We will build and refine proactive chain-referral tools, including email and Facebook referrals. In addition, we will implement respondent-driven sampling (RDS), a controlled chain-referral sampling technique designed to remove inherent biases in chain referrals and obtain a representative sample. We will begin our chain referrals with an initial recruitment of former and current smokers as seeds (initial participants) who will be trained to refer current smokers from their social network using the developed tools. In turn, these newly referred smokers will also be provided the tools to refer other smokers from their social networks. We will model predictors of referral success using sample weights from the RDS to estimate the success of the system in the targeted population. RESULTS: This protocol describes the evaluation of proactive Web-based chain-referral tools, which can be used in tobacco interventions to increase the access to hard-to-reach populations, for promoting smoking cessation. CONCLUSIONS: Share2Quit represents an innovative advancement by capitalizing on naturally occurring technology trends to recruit smokers to Web-assisted tobacco interventions

    Allergic and immunologic response of the oral mucosa: An overview

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    Allergic and immunologic diseases very often manifest oral lesions in their earliest stages, an early diagnosis, which may be spurred by a dental examination, is a key for improved outcomes. After systemic diagnosis, oral lesions benefi t from special care by dentists in alliance with the medical team. This review aims to highlight the most relevant allergic and immunologic conditions of the oral cavity, their pathogenesis, and their pathognomonic diagnostic features, which will navigate the clinicians to arrive at a prompt diagnosis and subsequent management

    Implementation of Intelligent Smart Heart Health Monitoring System using IOT

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    There are a lot of severe diseases that are associated with humans, but one of them is cardiac arrest, which, in general terms, we call a heart attack. The already existing heart rate monitoring systems are not mobile, are expensive, and take a little longer to give out the results. So, in this work, we will go for a system called Heart Rate Monitoring system using an ECG sensor and a Raspberry Pi, which actually represents the acquisition and interpretation of a human heart’s data collected with the help of sensors, anywhere and everywhere on the earth, through IOT. We generally consider heart rate while noting the status of the heart, but the oxygen level and body temperature also play a major role in determining the exact heart status. So, the hardware required to implement this heart rate monitoring model consists of different health sensors and a Raspberry Pi configured in a way to communicate with the guardian and the respective doctors over the Internet through an available smart mobile phone. In this work, the sensors configured with the hardware collect the required information about the patient’s health, which includes parameters such as the patient’s heart rate, body temperature, and SPo2 levels. Then, using the collected information from the sensors, the patient’s heart activity is actively observed. Thus, the patient himself or herself can easily identify his or her heart condition with the help of collected data anywhere on the earth through the internet. An alert indicating that their heart status is not good is displayed to the caretakers on the mobile, which shows a message called "abnormal condition to the patient" given the condition that the collected sensors’ values are beyond the threshold information through the GSM module, and also the GPS location of the patient will be sent to the caretakers as well as to the doctors

    Healthcare seeking for diarrhoea, malaria and pneumonia among children in four poor rural districts in Sierra Leone in the context of free health care: results of a cross-sectional survey

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    BACKGROUND: To plan for a community case management (CCM) program after the implementation of the Free Health Care Initiative (FHCI), we assessed health care seeking for children with diarrhoea, malaria and pneumonia in 4 poor rural districts in Sierra Leone. METHODS: In July 2010 we undertook a cross-sectional household cluster survey and qualitative research. Caregivers of children under five years of age were interviewed about healthcare seeking. We evaluated the association of various factors with not seeking health care by obtaining adjusted odds ratios and 95% confidence limits using a multivariable logistic regression model. Focus groups and in-depth interviews of young mothers, fathers and older caregivers in 12 villages explored household recognition and response to child morbidity. RESULTS: The response rate was 93% (n=5951). Over 85% of children were brought for care for all conditions. However, 10.8% of those with diarrhoea, 36.5% of those with presumed pneumonia and 41.0% of those with fever did not receive recommended treatment. In the multivariable models, use of traditional treatments was significantly associated with not seeking outside care for all three conditions. Qualitative data showed that traditional treatments were used due to preferences for locally available treatments and barriers to facility care that remain even after FHCI. CONCLUSION: We found high healthcare seeking rates soon after the FHCI; however, many children do not receive recommended treatment, and some are given traditional treatment instead of seeking outside care. Facility care needs to be improved and the CCM program should target those few children still not accessing care
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