Enhancing the Efficiency of Attack Detection System Using Feature selection and Feature Discretization Methods

Intrusion detection technologies have grown in popularity in recent years using machine learning. The variety of new security attacks are increasing, necessitating the development of effective and intelligent countermeasures. The existing intrusion detection system (IDS) uses Signature or Anomaly based detection systems with machine learning algorithms to detect malicious activities. The Signature-based detection rely only on signatures that have been pre-programmed into the systems, detect known attacks and cannot detect any new or unusual activity. The Anomaly based detection using supervised machine learning algorithm detects only known threats. To address this issue, the proposed model employs an unsupervised machine learning approach for detecting attacks. This approach combines the Sub Space Clustering and One Class Support Vector Machine algorithms and utilizes feature selection methods such as Chi-square, as well as Feature Discretization Methods like Equal Width Discretization to identify both known and undiscovered assaults. The results of the experiments using proposed model outperforms several of the existing system in terms of detection rate and accuracy and decrease in the computational time

Credit policy and credit appraisal of canara bank using ratio analysis

Credit appraisal is an important activity carried out by the credit department of the bank to determine whether to accept or reject the proposal for finance. The article deals in banking such as working capital and its management, working capital methods of assessment, compilation of credit reports. The study included working capital, working capital cycle and working capital management of Canara Bank. The methods that are used by the banks in order to calculate the loan limits are Turnover method, MBPF system and Cash budget system. The financial statements were taken for a period of five years from 1st April 2007 to 31st March 2012. The Profit and loss account and Balance sheet were analyzed. The firm’s financial performance is analyzed through ratio analyses. The study shows Canara bank has sound system for credit appraisal and the bank has good parameters to appraise the project

Nebulized magnesium sulfate versus hypertonic saline in acute bronchiolitis: A randomized control trial

INTRODUCTION : Acute bronchiolitis is the most common and severe lower respiratory tract illness requiring hospitalization in children less than 2 years of age. Several therapeutic modalities have been proposed for the management of bronchiolitis. But none of them have been recommended for the management of bronchiolitis other than the supportive management. Hence this study aims to study the efficacy of nebulized magnesium sulfate in acute bronchiolitis. METHODOLOGY : In this single blinded randomized control trial conducted in a tertiary care centre between the study period January 2017- September 2017, 220 children of mild to moderate bronchiolitis were included. They were randomly divided into 2 groups to receive nebulized hypertonic saline and magnesium sulfate. Heart rate, respiratory rate, oxygen saturation and Respiratory Distress Assessment Instrument (RDAI ) score were monitored throughout the study. Results were analysed statistically. RESULTS : The mean age in the hypertonic saline group was 6.9 + 3 months and in the magnesium sulfate group was 7.1 + 3.1 months. The mean hospital stay among the children nebulized with hypertonic saline and magnesium sulfate was 3.2 + 1.0 days and 3.2 + 1.1 days respectively. There was no significant difference in the RDAI score between the children treated with hypertonic saline and magnesium sulfate with p value of > 0.05. CONCLUSION : The outcome in terms of duration of hospital stay and RDAI score do not vary significantly between the children treated with nebulized magnesium sulfate and hypertonic saline. Further trials with large sample size, inclusion of children with severe bronchiolitis and assessment of long term outcomes are recommended

Characteristics and Outcomes of Adults Hospitalized with SARS-CoV-2 Community-Acquired Pneumonia in Louisville, Kentucky

Background: Patients infected with the novel coronavirus SARS-CoV-2 are frequently hospitalized with community-acquired pneumonia (CAP). The objective of this study was to define the clinical characteristics and outcomes of hospitalized patients with SARS-CoV-2 CAP in the city of Louisville, KY. Methods: This was a retrospective observational study of 700 patients with SARS-CoV-2 infection hospitalized to eight of the adult hospitals in the city of Louisville. Patients with 1) a positive RT-PCR for SARS-CoV-2, 2) fever, cough, or shortness of breath, and 3) an infiltrate at chest imaging were defined as having SARS-CoV-2 CAP. Demographic characteristics of the study population were compared with census data from the city of Louisville. For each patient more than 500 variables were abstracted from electronic medical records and recorded using Research Electronic Data Capture software. Data was analyzed by descriptive and inferential statistics using R version 3.4.0. Results: SARS-CoV-2 CAP was identified in 632 (90%) patients hospitalized with COVID-19. The median age of the patients was 63 years, 53% were females, 31% were black and 12% Hispanic. The most frequent comorbidities were hypertension (56%), obesity (50%), and diabetes (33%). Mortality was 17% for the total population and 34% for the 249 patients admitted to ICU. For each category of race, ethnicity and comorbidities, the proportion of hospitalized patients with SARS-CoV-2 CAP was significantly different when compared to the Louisville population (p \u3c 0.001). Conclusion: Patients of black race, Hispanic ethnicity, and patients with history of hypertension, obesity or diabetes are overrepresented among hospitalized patients with SARS-CoV-2 CAP when compared to the Louisville population. Hospitalized patients with SARS-CoV-2 CAP are likely to require ICU care, with death occurring in approximately one of six hospitalizations

No difference in clinical outcomes for African American and White patients hospitalized with SARS-CoV-2 pneumonia in Louisville, Kentucky

Introduction: Current literature indicates that African American individuals are at increased risk of becoming infected with the SARS-CoV-2 virus and suffer higher SARS-CoV-2-related mortality rates. However, there is a lack of consensus as to how the clinical outcomes of African American patients differ from those of other groups. The objective of this study was to define the clinical outcomes of African American and White hospitalized patients with SARS-CoV-2 community-acquired pneumonia (CAP) in Louisville, Kentucky. Methods: This was a retrospective cohort study of hospitalized patients with SARS-CoV-2 CAP at eight hospitals in Louisville, Kentucky. Severity of CAP at time of hospitalization was evaluated using the pneumonia severity index (PSI), CURB-65 score and SARS-CoV-2 viral load. The following thirteen clinical outcomes were compared: discharge alive to home, time to home discharge, admission to the ICU, length of ICU stay, need for invasive mechanical ventilation (IMV), duration of IMV, development of acute respiratory distress syndrome (ARDS), development of septic shock, need for vasopressors, development of cardiovascular events, time to cardiovascular events, in-hospital mortality, and time to death. Results: A total of 541 patients were eligible for this study, 343 White (63%) and 198 African American (37%). None of the thirteen clinical outcomes were statistically significantly different between the two groups. Conclusions: This study indicates that African American and White patients do not have different clinical outcomes after the point of hospitalization due to SARS-CoV-2 CAP

An enhanced anarchic society optimization technique for the classification of ultrasound thyroid images using ILBP

In the recent times, Thyroid Nodules (TNs) is a generic cancer of the thyroid gland, which impacts close to 20% of the population worldwide and nearly 50% of 60- year-old individuals. The conventional diagnostic method, relying on the expertise of doctors, shows a huge drawback that the diagnosis result very much relies on the individual knowledge and experience of the physician. As a result, efficacy of diagnosis is confined, and it varies with the doctor’s experience.  To combat this limitation, an efficient double screening technique is employed in few health care centers and hospitals by using one more specialist but, this approach is unaffordable and its time complexity is high. The research classified the thyroid nodules employing different image preprocessing techniques.  Utilized histogram equalization for preprocessing in his work. The Gray-Level Co-Occurrence Matrix (GLCM) is deployed for extracting the significant features. The classification is done using ASO, k-Nearest Neighbor (KNN), and Bayesian. It is noticed that the ASO yields improved accuracy compared to KNN and Bayesian techniques

Bardet–Biedl syndrome: Genetics, molecular pathophysiology, and disease management

Primary cilia play a key role in sensory perception and various signaling pathways. Any defect in them leads to group of disorders called ciliopathies, and Bardet–Biedl syndrome (BBS, OMIM 209900) is one among them. The disorder is clinically and genetically heterogeneous, with various primary and secondary clinical manifestations, and shows autosomal recessive inheritance and highly prevalent in inbred/consanguineous populations. The disease mapped to at least twenty different genes (BBS1-BBS20), follow oligogenic inheritance pattern. BBS proteins localizes to the centerosome and regulates the biogenesis and functions of the cilia. In BBS, the functioning of various systemic organs (with ciliated cells) gets deranged and results in systemic manifestations. Certain components of the disease (such as obesity, diabetes, and renal problems) when noticed earlier offer a disease management benefit to the patients. However, the awareness of the disease is comparatively low and most often noticed only after severe vision loss in patients, which is usually in the first decade of the patient's age. In the current review, we have provided the recent updates retrieved from various types of scientific literature through journals, on the genetics, its molecular relevance, and the clinical outcome in BBS. The review in nutshell would provide the basic awareness of the disease that will have an impact in disease management and counseling benefits to the patients and their families

Analysis of Physico-Chemical Parameters of Textile Effluent from Sidco, Vijapuram, Alangadu and Rayapuram Polluted Regions in Noyyal River, Tirupur, Tamil Nadu, India

Globally, textile industries play an important role in the economy of many countries. A huge volume of water is consumed in the various processes of dyeing fabrics and the majority of this is discharged with heavy loads of pollutants into the environment. The present study assessed on quality of textile dyeing effluent by analyze the physicochemical parameters such as pH, color, electrical conductivity, turbidity and total dissolved solids, calcium, total hardness, dissolved oxygen, potassium, phenol, phosphates, nitrates, magnesium, and sulfates of the effluent were analyzed. The results of the analysis were correlated with the water quality standards of Environmental Pollution Agency and Bureau of Indian Standard

RPS: Repeats in Protein Sequences

Repeats are two or more contiguous segments of amino acid residues that are believed to have arisen as a result of intragenic duplication, recombination and mutation events. These repeats can be utilized for protein structure prediction and can provide insights into the protein evolution and phylogenetic relationship. Therefore, to aid structural biologists and phylogeneticists in their research, a computing resource (a web server and a database), Repeats in Protein Sequences (RPS), has been created. Using RPS, users can obtain useful information regarding identical, similar and distant repeats (of varying lengths) in protein sequences. In addition, users can check the frequency of occurrence of the repeats in sequence databases such as the Genome Database, PIR and SWISS-PROT and among the protein sequences available in the Protein Data Bank archive. Furthermore, users can view the three-dimensional structure of the repeats using the Java visualization plug-in Jmol. The proposed computing resource can be accessed over the World Wide Web at http://bioserver1.physics.iisc.ernet.in/rps/