21 research outputs found

    Finding the Link Between Cyberbullying and Suicidal Behavior Among School Going Adolescents

    Get PDF
    Background: Studies have shown that cyberbullying or online bullying has increased the risk of suicidal thoughts and suicidal behaviours. Although suicide or suicidal behaviours are not directly related to cyberbullying it can be said that cyberbullying increases depression rates and feelings of isolation which end up in suicidal calls. This research aims to understand the nexus between cyberbullying and suicidal behaviour. Methods and materials: A self-administered and anonymous online questionnaire was used to survey 410 higher secondary school adolescents aged 16 to 18 and the data analysis has been carried out by statistical analysis with the help of IBM-SPSS software of version 22.  Results: The findings of the results have revealed that cyberbullying was more prevalent among the respondents than cyber victimization. There was a small fraction of the population that said that they had undergone suicidal behaviour due to cyberbullying. Between text messaging and multimedia messaging, the best platform for cyberbullying was multimedia messaging. The reason behind this was its usage around the world, its popularity, and its ease. Teenagers over the age of 17 years have reported the highest percentage share for suicide rates and most of them were female. Conclusion: It can be concluded that cyber bullying is a threat to those girls who is currently studying in 11th standard and or age 17 years whose parents are separated or not living together

    A cross-sectional study on knowledge and perception about preventive strategies of selected vector-borne diseases among the rural population of coastal Karnataka

    Get PDF
    Background and Objectives: Malaria and other vector-borne diseases (Dengue, Chikungunya and Filariasis) are a major public health problem in WHO’s South-East Asia Region. Due to the growing resistance to pesticides and drugs, there is a need to set up integrated vector management strategies. These strategies should involve local communities in managing the environment to decrease the health risks and increase the sustainability of programmes to control these vector-borne diseases. Hence, an important step in disease management is educating the local community regarding vector-borne diseases and their prevention. Objectives: To assess the Knowledge & perception regarding preventive strategies of selected vector-borne diseases among the study population. Methods: This study was conducted in two selected villages. A cross-sectional study design was used with a sample size of 966. A questionnaire method was used to collect the data. Results: Around 46.5% of them had good knowledge regarding preventive strategies of vector-borne diseases. Whereas, Around 42.2% and 40% of the population had average perception and high perception respectively. Conclusion: Even though only half of the population had good knowledge regarding preventive strategies for vector-borne diseases. Most of them had average to high perceptions about preventive strategies. Hence to increase their knowledge many camps and health education activities should be conducted on vector-borne diseases and should mainly emphasize community participation to increase their awareness. So that it leads to better practice which in turn will lead to a decrease in vector-borne diseases

    Erratum: "Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015–2017 LIGO Data" (2019, ApJ, 879, 10)

    Get PDF
    This is a correction for 2019 ApJ 879 1

    Search for gravitational waves from Scorpius X-1 in the second Advanced LIGO observing run with an improved hidden Markov model

    Get PDF
    We present results from a semicoherent search for continuous gravitational waves from the low-mass x-ray binary Scorpius X-1, using a hidden Markov model (HMM) to track spin wandering. This search improves on previous HMM-based searches of LIGO data by using an improved frequency domain matched filter, the J-statistic, and by analyzing data from Advanced LIGO’s second observing run. In the frequency range searched, from 60 to 650 Hz, we find no evidence of gravitational radiation. At 194.6 Hz, the most sensitive search frequency, we report an upper limit on gravitational wave strain (at 95% confidence) of h95%0=3.47×10−25 when marginalizing over source inclination angle. This is the most sensitive search for Scorpius X-1, to date, that is specifically designed to be robust in the presence of spin wandering

    Search for gravitational waves from Scorpius X-1 in the second Advanced LIGO observing run with an improved hidden Markov model

    Get PDF
    We present results from a semicoherent search for continuous gravitational waves from the low-mass x-ray binary Scorpius X-1, using a hidden Markov model (HMM) to track spin wandering. This search improves on previous HMM-based searches of LIGO data by using an improved frequency domain matched filter, the J-statistic, and by analyzing data from Advanced LIGO's second observing run. In the frequency range searched, from 60 to 650 Hz, we find no evidence of gravitational radiation. At 194.6 Hz, the most sensitive search frequency, we report an upper limit on gravitational wave strain (at 95% confidence) of h095%=3.47×10-25 when marginalizing over source inclination angle. This is the most sensitive search for Scorpius X-1, to date, that is specifically designed to be robust in the presence of spin wandering. © 2019 American Physical Society

    A COMPARATIVE STUDY OF PRIMARY REPAIR VERSUS RESECTION AND ANASTOMOSIS IN JEJUNOILEAL PERFORATIONS

    No full text
    INTRODUCTION : Ileo-jejunal perforation is the fifth common cause of acute abdomen presenting as emergency(1). Despite availability of modern diagnostic facilities and advances in treatment regimes, the abrupt onset and rapid downhill course of disease has a high mortality rate.(1,2) AIMS AND OBJECTIVES: To contribute in the betterment of knowledge in the management of ileo-jejunal perforations and to compare and analyse the primary repair (vs) resection and anastomosis in ileojejunal perforation in terms of post -operative morbidity and mortality. METHOD: This was a prospective observational study conducted in JSS HOSPITAL ,Mysuru .A total of thirty patients admitted with ileojejunal perforations during a period of one and half years undergoing either primary closure or resection and anastomosis were taken for the study . RESULTS:Trauma ( Blunt trauma ) was the most common cause of ileo jejunal perforation in this observational study followed by enteric perforations. Most common complication following surgery was identified to be wound infection/ dehiscence(27.6%) followed by respiratory complications(13.3%). CONCLUSION:Post operative complications and duration of hospital stay were less with primary closure group and hence primary closure should always be considered as first option whenever conditions are apt .</jats:p

    Carbon Emission and Battery Monitoring System

    No full text
    Abstract: Automobile exhaust gases are one of the most significant sources of carbon dioxide. Carbon monoxide from the exhaust system can seep into the vehicle through holes. Carbon dioxide poisoning can be lethal if inhaled at a specific dosage and for a long time. To ensure that the level of carbon dioxide in the vehicle is safe, the air quality must be monitored. Our goal is to create a project that focuses on vehicle carbon monoxide monitoring, alerting, and control. The carbon monoxide level in the vehicle is detected by the system. The collected sensor data will be stored in a database. The technology allows the user to keep track of carbon dioxide levels and vehicle battery discharge. The user can also be notified when carbon dioxide levels are dangerously high. When the battery level drops due to infrequent use of the vehicle, the system can provide effective notification about the battery discharge levels. The device is affordable and simple to install in the vehicle. Keywords: Monitoring, Emission, Carbon, Battery, IOT, EV, Hybrid vehicle</jats:p

    Prediction of Electricity usage in Industries by Big Data

    Full text link
    Electrical industry is a main source industry in which where almost every other industry of many kinds are dependent on it. Not only the industries but also many Smart cities are connected with the different supply of current in which the current is used and to run the homes with the power supply. In the base paper we have taken the PMU data is collected which contain magnitude and phase angle components of the readings from PMU and the details of the fluctuations, deviations are only given so we have gone some extension to the paper and we have done the forecasting of the data by taking more of components like Logtime, current voltage (CV), active power (AP), reactive power (RP), apparent power, power factor, temperature, product weight and we are forecasting the data:To predict the energy usage.To provide monthly billing information and graphical report.To provide individual home appliance unit graphical report.Alert message service for the consumer.</jats:p

    Content Modelling Intelligence System Based On Automatic Text Summarization

    Full text link
    corecore