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

Utility and Drawbacks of Chimeric Antigen Receptor T Cell (CAR-T) Therapy in Lung Cancer

The present treatments for lung cancer include surgical resection, radiation, chemotherapy, targeted therapy, and immunotherapy. Despite advances in therapies, the prognosis of lung cancer has not been substantially improved in recent years. Chimeric antigen receptor (CAR)-T cell immunotherapy has attracted growing interest in the treatment of various malignancies. Despite CAR-T cell therapy emerging as a novel potential therapeutic option with promising results in refractory and relapsed leukemia, many challenges limit its therapeutic efficacy in solid tumors including lung cancer. In this landscape, studies have identified several obstacles to the effective use of CAR-T cell therapy including antigen heterogeneity, the immunosuppressive tumor microenvironment, and tumor penetration by CAR-T cells. Here, we review CAR-T cell design; present the results of CAR-T cell therapies in preclinical and clinical studies in lung cancer; describe existing challenges and toxicities; and discuss strategies to improve therapeutic efficacy of CAR-T cells

Analyzing the cause and effects in Intra-operative rupture (IOR) in intracranial aneurysms

Introduction: When Aneurysm surgery procedure is being learned, performance tends to improve with experience; however, in medicine there are no accurate measurements to monitor the said improvement. Experience of the surgeon plays an important role in dealing with aneurysm surgery while dissecting the aneurysm, clipping and controlling the bleeding if the aneurysm ruptures. Intra Operative Rupture (IOR) has been reported in a wide range of percentages during microsurgery, ranging from 3.5% to 50%. We would like to analyse the causes for IOR of intracranial aneurysms and strategies to control it. Aims: The aim of this study was to evaluate the incidence and reasons behind IOR and also to analyze the strategies of controlling hemorrhage. Material and Methods: A retrospective study was designed to analyze factors associated with IOR of intracranial aneurysms Over the Two-year period from 1 January 2014 to December 2016 at Nizam's Institute of Medical Sciences at the Neurosurgery Division, a total of 92 patients were operated for 100 brain aneurysms. The 92 patients who met the criteria were selected for inclusion in the study. Data collected from case records and operation notes. Results: 92 patients with 100 aneurysms were treated in this series. There were a total of 13 IORs which represented an IOR rate of 14.1% per patient and 13% per aneurysm. M=8, F= 5, Mean age 46.1 yrs, ( 27 - 65 yrs), No of patients with Grading of SAH according to Fisher was Gr.I-0,II-2,III-7,IV-4.Timing of rupture was during micro dissection 46%(6), during clipping 54%(7). Severity of IOR Bleeding were minor-4, moderate-7,Major-2. Outcomes in IOR pts were-Completely recovered-7, Hemiparesis occurred in-3,Decompressive craniectomy required in-2,No of pts died-1. Conclusions: High Fisher grade of ruptured aneurysms are associated with more chances of IOR. Avoiding undue retraction and sharp dissection around the aneurysm holds the key in preventing IORs.There is always a LEARNING CURVE in cerebrovascular surgery