Data Breach – Its Effects on Industry

In this Digital world, Data has become one of the most crucial parts in every field. To protect this sensitive piece of information many methods and technologies are coming into existence. A data breach reveals sensitive, protected and confidential information to an unauthorized person. Increasingly opportunities exist for information to leak out as our computers and mobile devices become more associated. Data leaks pose a serious threat to companies and can cost them significantly either financially and reputationally. The long-term effects of a data breach can spread throughout a company, having an effect on all parties involved, including the user base, staff, and cybersecurity teams in charge of repair. By giving priority to the most frequently attacked industries, this article will advance understanding about data hacking incidents and aid in securing corporate data

Using Federated Artificial Intelligence System of Intrusion Detection for IoT Healthcare System Based on Blockchain

Recently Internet of things (IoT)-based healthcare system has expanded significantly, however, they are restricted by the absence of an intrusion detection mechanism (IDS). Modern technologies like blockchain (BC), edge computing (EC), and machine learning (ML) provide a robust security solution that is well-suited to protecting patients' medical information. In this study, we offer an intelligent intrusion detection mechanism FIDANN that protects the confidentiality of medical data by completing the intrusion detection task by utilising Dwarf mongoose-optimized artificial neural networks (DMO-ANN) through a federated learning (FL) technique. In the context of recent developments in blockchain technology, such as the elimination of contaminating attacks and the provision of complete visibility and data integrity over the decentralized system with minimal additional effort. Using the model at the edges secures the cloud from attacks by limiting information from its gateway with less computing time and processing power as FL works with fewer datasets. The findings demonstrate that our suggested models perform better when dealing with the diversity of data produced by IoT devices

The Inter-Relation of Objective Assessment of The Bell’s Palsy with House-Brackmann Score: A Prospective Study

Introduction: Bell’s palsy is the most common acute peripheral mononeuropathy, which leads to the partial or complete inability to voluntary movement of the facial muscles on the affected side of the face. The study aimed to evaluate the objective assessment of the Bell’s palsy with House-Brackmann score. Methods: This Observational, Prospective study was to be conducted at tertiary care hospital among from June 2022 to September 2022 on 11 patients diagnosed with Bell’s Palsy. A patient’s history includes age, sex, and clinical features. Assessments include facial nerve grading system such as House-Brackmann score, which was used to grade the facial nerve severity. Results: Out of 11 patients, 7 patients of Bell’s Palsy (63%) were reported with Grade IV of House- Brackmann score. The remaining patients were scored under Grade III and Grade V. Patients of age group from 9 to 75 were taken. Among them, age group of 9-40 years were 45% and 40- 80 years were 55%. The result shows that Grade IV is predominant over others, male and elder patients are leading over female and middle- aged patients. 63.7% patient’s clinical features were come under Grade IV of House- Brackmann score. 27.2% of patients had an increased risk of hypertension, 18.1% had Diabetes Mellitus, 18.1% had past history of CVA, 9% had past history of Seizure, and known history of Bell ’s palsy. Conclusion: Using the House-Brackmann grading system, the severity of the patient presenting with Bell’s palsy could be reliably predicted

Role of sintering temperature dependent crystallization of bioactive glasses on erythrocyte and cytocompatibility

Bioglass (BG) was prepared by sol-gel method and the role of sintering temperatures (600, 700 and 800 °C) on crystalline phase changes, bioactivity, erythrocyte and MG-63 cell line compatibility was investigated. Increase in sintering temperature from 600 to 800 °C led to the secondary phase formation that was confirmed through structural analysis. Micrographics revealed the formation of nanorods (700 °C) and nanoflake like (800 °C) morphologies. Biocompatibility assay showed that, BG sintered at 600 °C had optimal biocompatibility while better mechanical property was noted at 700 °C. Altogether, the study demonstrated that increasing the sintering temperature will result in increased crystallinity which in turn resulted in the optimal biomineralization but decreased the biocompatibility. Hence, we demonstrated the importance of temperature during the processing of BG for various applications, as it affects many properties including bioactivity and compatibility

EVALUATION OF ANTI-OXIDANT AND HEPATOPROTECTIVE ACTIVITY OF COUROUPITA GUIANENSIS LEAVES

Abstract: The present study was conducted to evaluate the hepatoprotective activity of ethanolic leaf extract of Couroupita guianensis against CCL 4 induced liver damage in rats. Anti-oxidant activity was evaluated by DPPH (2, 2-diphenyl-1-picrylhydrazyl) and hydrogen peroxide scavenging. Ascorbic acid was used as the standard antioxidants for comparison. Healthy male Wistar albino rats of either sex (150-200g) were used for the in-vivo investigations. Liver damage was induced by administration of 30% CCl 4 suspended in olive oil (1ml/kg body weight). Activities of liver marker enzymes, serum glutamate oxaloacetate transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT), asparate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin (TB) and total protein (TP) at doses of 150mg/kg and 300 mg/kg showed a significant hepatoprotective effect in comparison with the standard (silymarin). The present study demonstrates that the extract of Couroupita guianensis has hepatoprotective effect against CCl 4 induced hepatotoxicity

An Empirical Study On Employee Turnover And Job Satisfaction In Human Resource Management Practices

Human resource management is included within an organisation for recruiting employees, guiding work procedures, providing training, and developing policies to motivate and satisfy employees for better productivity and profit. This study sheds light on the importance of human resource management to influence employee turnover and job satisfaction of the employees. The study provided an overview of the different factors which prove to have a dramatic influence on employee turnover and the job satisfaction of the workers. The strategies integrated by human resource management for the heightening such crucial aspects of employee turnover and job satisfaction was observed in the study

Promising Technologies for dry land Agriculture

Not AvailableNatural Resource Management has important research agenda in view of the climate change, degradation of land and declining productivity in greenrevolution areas. Efficient methods of soil and rain water conservation and water harvesting become important areas of dryland agriculture research to achieve sustainability. Variation in crop yields is more in dry lands due to non receipt of timely rainfall and prolonged dry spells during crop periods. Adoption of soil and moisture conservation measures and improved management practices will help in getting higher yields.A large number of location specific practices for insitu moisture conservation, water harvesting and supplemental irrigation have been developed and tested successfully at All India Co-ordinated Research Project for Dryland Agriculture (AICRPDA), Agricultural Research Station, Ananthapuramu. Dryland Agriculture occupies a prominent place in rural livelihoods of Andhra Pradesh. In Andhra Pradesh out of 92.04 lakh ha of cultivable land an area of 34.56 lakh ha is under rainfed agriculture, mainly in scarce rainfall and southern agro climatic zones. AICRPDA, ARS, Ananthapuramu is continuing efforts to generate location specific technologies in the areas of rain water management, integrated nutrient management, cropping systems, farming systems, alternate land use and energy management.Not Availabl

Knowns and Unknowns of Assaying Antibody-Dependent Cell-Mediated Cytotoxicity Against HIV-1

It is now well-accepted that Fc-mediated effector functions, including antibody-dependent cellular cytotoxicity (ADCC), can contribute to vaccine-elicited protection as well as post-infection control of HIV viremia. This picture was derived using a wide array of ADCC assays, no two of which are strictly comparable, and none of which is qualified at the clinical laboratory level. An earlier comparative study of assay protocols showed that while data from different ADCC assay formats were often correlated, they remained distinct in terms of target cells and the epitopes and antigen(s) available for recognition by antibodies, the effector cells, and the readout of cytotoxicity. This initial study warrants expanded analyses of the relationships among all current assay formats to determine where they detect overlapping activities and where they do not. Here we summarize knowns and unknowns of assaying ADCC against HIV-1

A serious gaming approach to managing interference in ad hoc femtocell wireless networks

The aim of this paper is to optimize femtocell performance by managing interference between femtocell devices and between a femtocell and a macrocell. It achieves this using a three-phase approach that involves deployment of femtocells and control of resulting connections through consideration and management of path loss, transmission power, signal strength and coverage area. Simulation experiments of the proposed three-phase approach at a local college that experiences a poor service from the macrocell predict significant improvements in femtocell performance in terms of managing both types of interference: co-tier and cross-tier, number of users who experience good service, coverage, and mitigating outage probability. The overall and individual complexity of each phase has also been considered. Our approach has been compared with some existing techniques chosen from the literature that has been reviewed and its predicted performance is significantly improved in comparison to these