Third Party Web Advertisements

Web is driving the evolution of the current system, allowing users to find, share and combine information more easily and delivery of web pages built for the content of websites. HTML, JavaScript and CSS no restrictions on a web page that includes elements or even delegating complete control of a fully decoupled website. These design options have contributed to a number of vulnerabilities well studied and known safety, including cross-site scripting (XSS) and cross-site request forgery (CSRF or XSRF) [1], allowing an unauthorized and unrelated "third party" web page to retrieve information or perform actions on the "website first part" that the user has interacted willingly

Data Security Enhancement in 4G Vehicular Networks Based on Reinforcement Learning for Satellite Edge Computing

The vehicular network provides the dedicated short-range communication (DSRC) with IEEE 802.11p standard. The VANET model comprises of cellular vehicle-to-everything communication with wireless communication technology. Vehicular Edge Computing exhibits the promising technology to provide promising Intelligent Transport System Services. Smart application and urban computing. Satellite edge computing model is adopted in vehicular networks to provide services to the VANET communication for the management of computational resources for the end-users to provide access to low latency services for maximal execution of service. The satellite edge computing model implemented with the 4G vehicular communication network model subjected to data security issues. This paper presented a Route Computation Deep Learning Model (RCDL) to improve security in VANET communication with 4G technology. The RCDL model uses the route establishment model with the optimal route selection. The compute route is transmitted with the cryptographic scheme model for the selection of optimal route identified from the satellite edge computing model. The proposed RCDL scheme uses the deep learning-based reinforcement learning scheme for the attack prevention in the VANET environment employed with the 4G technology communication model. The simulation results expressed that proposed RCDL model achieves the higher PDR value of 98% which is ~6% higher than the existing model. The estimation of end-to-end delay is minimal for the RCDL scheme and improves the VANET communication

Diagnosis of Adnexal Masses –Using Ultrasound and Magnetic Resonance Imaging for Proper Management

Introduction: Adnexal masses are considered one of the most common disorders in gynecology practice. Primary goal of imaging in the evaluation of an adnexal mass is to differentiate malignant and benign lesions in order to direct patients to the appropriate treatment algorithm. Magnetic resonance imaging (MRI) helps to delineate normalanatomical structures and elucidate the pathological lesions. It has high sensitivity and specificity for differentiating benign pelvic masses from malignant ones Aim: To assess the relative role of ultrasound (USG) and MRI in the evaluation of adnexal mass lesions and compare them with clinical outcome or operative findings. Materials and methods: Prospective evaluation of 50 patients suspected to have adnexal masses was subjected to ultrasonography followed by MRI and the results were noted. Results: Most commonly affected age group was 21-40yrs. The major presenting complaints were lower abdominal pain and lump in the lower abdomen. In our study, most common origin of adnexal lesions was from ovaries. On USG, 50 % were cystic in consistency, 86 % and 14 % were reported as benign and malignant respectively. On MRI, 56 % were cystic, 88% and 12 % were reported as benign and malignant respectively. Conclusion: USG is recommended as a primary modality for diagnosing pelvic adnexal masses. MRI is superior to ultrasound and can be used in the assessment of problematic cases. The multiplanar imaging capability allows accurate identification of origin and characterisation of adnexal masses

Eclampsia-prevalent yet preventable complication – experience at tertiary care centre

Introduction: Maternal mortality is not only a health disadvantage, rather it is a social disadvantage as it puts economic burden on the family, community, governments, and nations. Aim: It is prospective study of eclampsia for period of 9 months admitted in tertiary care center for treatment. Materials and Methods: 152 cases of eclampsia are analysed as to the antenatal care, severity of HTN, type of eclampsia, gestational age, mode of induction, mode of delivery, complications, maternal and perinatal outcome with an aim to revise and improvise existing protocols. Results: Total deliveries were 12406and incidence in present study is 1.2%, Age of the women is from 20-36 years in which Primi’s were 59.2%, Gestational age is more than 28 weeks in 89% of total incidence mild PIH in 45.8%. Perinatal mortality rate 28.3% which is much lower when compared with patients who delivered vaginally (43.3%)Vaginal delivery were more than LSCS , Abortions were 11.8%, 18 cases were found with IUD 4 maternal deaths,2 cases severe HTN & CVA,1 Aspiration pneumonitis,1 pulmonary embolism. Conclusion: Eclampsia a life endangering obstetric emergency. Wide awareness of protocols at referal centres, early treatment and timely referral of pre-eclampsia, availability of MICU and NICU facilities will further improve maternal and foetal outcome