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( Madhavi Eerike ),( Vijaya Prasanna Parimi ),( Anand Pyati ),( Raja Sundaramurthy ),( Varadharajan Sakthivadivel ),( Aswini Bramarambika Pidugu ),( Bhavana Surapareddy ),( Naga Tejaswini Ramineni ),( 대한류마티스학회 2024 대한류마티스학회지 Vol.31 No.1
Objective: This study was conducted to investigate the immunological and clinical response to COVID-19 vaccination in rheumatoid arthritis (RA) patients receiving disease modifying antirheumatic drugs (DMARDs). Methods: A cross-sectional study was conducted among RA patients who received two doses of COVID-19 vaccine within 6 months to one year. Demographic information, comorbidities, vaccination details, and past COVID-19 infection details were collected. Hemoglobin (Hb), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and interleukin-6 (IL-6) levels were estimated. Disease Activity Score-28 (DAS-28) was calculated for RA patients. Anti-spike antibody (ASA) concentrations were measured, and compared with a healthy control population. Correlations of ASA with age, sex, disease parameters, medication use, and comorbidities were assessed. Results: A total of 103 RA patients and 185 controls were included in the study. RA patients had higher mean age, lower mean Hb, higher ESR, and elevated IL-6 levels. Both groups showed positive results for anti-spike antibodies, with a higher percentage in controls. Among RA patients majority had low DAS-28 score. The number of DMARDs used showed a negative correlation with antibody levels. There was a slight positive correlation between ASA concentration and DAS-28 score. Comorbidities did not significantly influence antibody concentration. No significant differences were found in antibody levels based on the type of COVID-19 vaccine or previous COVID-19 infection or booster dose vaccination among RA patients. Conclusion: The study revealed that RA patients showed a reduced antibody response following COVID-19 vaccination compared to the control group and potentially influenced by immunosuppressive treatments and disease-related factors.
AN INTRUSION DETECTION SYSTEM IN MOBILE ADHOC NETWORKS
S.Madhavi,Tai Hoon Kim 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.3
Networks are protected using many firewalls and encryption software’s. But many of them are not sufficient and effective. Therefore an intrusion detection system (IDS) is required that monitors the network, detects misbehavior or anomalies and notifies other nodes in the network to avoid or punish the misbehaving nodes. Numerous schemes have been proposed for Intrusion Detection and Response Systems, for Ad hoc networks. The ultimate goal of the security solutions for wireless networks is to provide security services, such as authentication, confidentiality, integrity, anonymity, and availability, to mobile users. In this paper, we examine the vulnerabilities of wireless networks and argue that we must include intrusion detection in the security architecture for mobile computing environment. We propose an mIDS (Mobile Intrusion Detection System) suitable for multi-hop ad-hoc wireless networks, which detects nodes misbehavior, anomalies in packet forwarding, such as intermediate nodes dropping or delaying packets. mIDS does rely on overhearing packet transmissions of neighboring nodes. Simple rules are designed to identify the misbehavior nodes. A special node called a monitor node carries out the process of identifying the misbehavior node.
Secured Data Aggregation Scheduling in Ubiquitous Quantum Sensor Networks
S. Madhavi 사단법인 인문사회과학기술융합학회 2014 예술인문사회융합멀티미디어논문지 Vol.4 No.1
Secured Data Aggregation Scheduling in Ubiquitous sensor networks is a major research problem nowadays. Since the sensors communicate wirelessly, they are exposed to a high level of vulnerability from the intruders. Quantum key distribution is a technique that is used nowadays for providing security. Though the secure keys are used for short distances only, it offers many advantages over traditional methods in providing security. Quantum key distribution adopts many methods like entanglement swapping and quantum teleportation. Reversible logic gates like CNOT, Toffoli, and Fredkin are proved to offer many advantages in quantum computing. Also a very little research is carried to provide security to the nodes in ubiquitous sensor networks using quantum cryptography so as to maximize the throughput and utilize the hardware resources effectively. Hence in this paper, we propose an intrusion detection policy for security to sensor nodes using quantum cryptography. The proposed protocol monitors the communication between sensor nodes and uses a simple policy to detect the malicious nodes. In our detection policy we adopted an EPR-pair allocation scheme in terms of the quantum gates like Toffoli and Feynman called SwapGate.
Todupunuri Madhavi,Munnuru S. Kalpana,Dattatray J. Patil,Anurodh M. Dayal 한국지질과학협의회 2011 Geosciences Journal Vol.15 No.2
The paper reports the role of hydrocarbon microseepage in surface alterations of trace metal concentrations. In this study trace metal alterations were mapped that appear to be associated with hydrocarbon microseepages in the oil/gas fields of Mehsana block, North Cambay basin, India. The ranges of adsorbed soil gas concentrations of Methane, Ethane, Propane, i-Butane and n-Butane are found to vary from 1–402 ppb, 1–135 ppb, 1–70 ppb, 1–9 ppb, 1–18 ppb respectively, suggesting the presence of hydrocarbons and microseepage associated with the study area. The carbon isotopic signature of methane ranged from –29.5 to –43.0‰ (PDB) and ethane from –19.1 to –20.9‰ (PDB), indicating a thermogenic source of hydrocarbons. The absence of any significant correlation of Total Organic Carbon (TOC) and Total Inorganic Carbon (TIC) (r = 0.1 and 0.5 respectively) content with hydrocarbons in soil samples demonstrates the catagenetic origin of the desorbed gases. The Trace metal concentrations varied in the following manner: Ni: 49–155 ppm, V: 67–158 ppm, Cu: 29–82 ppm, Zn: 64–327 ppm, Ba: 241–554 ppm and Sr: 118–892 ppm. These high concentrations of trace metals which are more than their respective average concentrations generally found in soils are indicative of hydrocarbon induced alterations in the area. The low Eh values observed in anomalous hydrocarbon bearing soil samples compared to non anomalous samples in the area, could be attributed to the reducing conditions created by the hydrocarbon seepage from subsurface and might have influenced the trace metal solubilities which is reflected in their increased concentrations. Trace metal anomalies are seen haloed to adsorbed soil gas anomalies (∑C_(2+)) indicating that the major generative depressions of oil and /or gas fields of Sobhasan / Linch in the study area promoted vertical migration of hydrocarbon microbubbles which in turn facilitated trace metal deposition in the surface soils. By using integrated method approach, the weak signal of oil and gas reservoirs could be amplified in the frontier areas and the uncertainity of the vertical correlation of surface anomalies could be reduced
Dynamic Distributed Power Adaption for Data Aggregation in Ubiquitous Sensor Networks
S. Madhavi 사단법인 인문사회과학기술융합학회 2013 예술인문사회융합멀티미디어논문지 Vol.3 No.2
Data Aggregation Scheduling in Ubiquitous sensor networks is a major research interest for many researchers with the objective of minimizing the energy consumption. Very little research is carried to schedule the nodes in ubiquitous sensor networks to reduce energy consumption, maximize the throughput, for effective prolonged network lifetime, scalability, and load balancing. Each ubiquitous node in USN should forward data to the base station. In Data Aggregation methods each node need not directly forward data to the base station instead it may forward data to a special node called head node which in turn forwards data to the base station. In this paper we proposed a new network model for the USN which is power control and collision interference free model. We also proposed an energy-efficient distributed data aggregation scheduling protocol, called DDPA (Dynamic Distributed Power Adaptive), which is adaptive to rate and power. Using the proposed optimal node degree algorithm, we obtained a full reachability network with 99.9% of energy savings even at the denser network conditions.