316 research outputs found

    A Brief Survey on Cluster based Energy Efficient Routing Protocols in IoT based Wireless Sensor Networks

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    The wireless sensor network (WSN) consists of a large number of randomly distributed nodes capable of detecting environmental data, converting it into a suitable format, and transmitting it to the base station. The most essential issue in WSNs is energy consumption, which is mostly dependent on the energy-efficient clustering and data transfer phases. We compared a variety of algorithms for clustering that balance the number of clusters. The cluster head selection protocol is arbitrary and incorporates energy-conscious considerations. In this survey, we compared different types of energy-efficient clustering-based protocols to determine which one is effective for lowering energy consumption, latency and extending the lifetime of wireless sensor networks (WSN) under various scenarios

    TiO2 coated MWCNT decorated by Fe3O4 nanoparticle as electrode material for Supercapacitor Application

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    TiO2 coated multi wall carbon nanotube (TiCN) and Fe3O4 based electrode material for the application in electro chemical devices has been produced through a simple approach. Morphological and electro chemical properties of the prepared nanocomposites were determined through field emission scanning electron microscopy (FESEM) and cyclic voltammetry (CV) and impedance analysis, respectively. Sol-gel technique was hired to synthesize TiCN and in-situ chemical co-precipitation technique was used for the formation of magnetite particles (Fe3O4) on the surface of acid-modified multiwall carbon nanotube (MWCNT). Maximum specific capacitance obtained from CV is 221 F/g

    CytoSorb® therapy: a new approach to treat critically ill patients with COVID-19 – a retrospective study

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    Objective: The Coronavirus 2019 (COVID-19) pandemic has resulted in significant mortality and morbidity. Patients with severe COVID-19 infection experience cytokine storm that makes the treatment approach more challenging. The aim of the present study was to evaluate the effects of CytoSorb® therapy in COVID-19 patients admitted in ICU. Patients and Methods: This was a single-center, retrospective study conducted at Sunshine Hospital, Hyderabad, India from January 2020 to November 2020. Patients diagnosed with COVID-19 along with signs of sepsis and with a minimum of one organ dysfunction were enrolled in the study. All the patients were treated with CytoSorb® therapy. Clinical and laboratory parameters such as procalcitonin (PCT), serum lactate, interleukin-6 (IL-6), mean arterial pressure (MAP), C-Reactive Protein and the patients’ length of stay in intensive care were measured. Results: A total of 20 patients were enrolled in this study; of these 13 patients (65%) survived. One patient left against medical advice and was thus excluded from the analysis. Post CytoSorb® therapy, a reduction in the levels of PCT, total leucocyte count (TLC), and platelet count in the survivor group was reported. The dosage of norepinephrine decreased by 46% in the survivor group but decreased by 0.8% in the non-survivor group (p= 0.0424 for survivor vs. non survivors). The average number of days spent by all patients in ICU was 9±5.25. Conclusions: The use of CytoSorb® therapy for patients with COVID-19 is a safe and effective treatment option when initiated in a timely manner

    Selenium, a micronutrient can modulate viral diseases including COVID-19

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    713-723Selenium, a micronutrient is reported to play a very important role in fighting bacterial and viral infections. Selenium exerts its effects through incorporation into selenoproteins that are crucial for providing antioxidant defense and maintaining redox homeostasis. The deficiency of selenium in the diet leads to impaired immune response and increased pathogenesis of viral diseases. On the other hand, supplementation with selenium has been shown to be very effective in reducing infections and mortality against many pathogenic RNA viruses. This has encouraged researchers across the world to examine the role of selenium (if any) in the susceptibility and/or severity of the recent outbreak of coronavirus disease (COVID-19). Some of the emerging findings along with the future scope of research on using selenium for management of viral infections including COVID-19 are discussed

    Selenium, a micronutrient can modulate viral diseases including COVID-19

    Get PDF
    Selenium, a micronutrient is reported to play a very important role in fighting bacterial and viral infections. Selenium exerts its effects through incorporation into selenoproteins that are crucial for providing antioxidant defense and maintaining redox homeostasis. The deficiency of selenium in the diet leads to impaired immune response and increased pathogenesis of viral diseases. On the other hand, supplementation with selenium has been shown to be very effective in reducing infections and mortality against many pathogenic RNA viruses. This has encouraged researchers across the world to examine the role of selenium (if any) in the susceptibility and/or severity of the recent outbreak of coronavirus disease (COVID-19). Some of the emerging findings along with the future scope of research on using selenium for management of viral infections including COVID-19 are discussed

    ONE-ELECTRON OXIDATION OF SELENOUREA IN AQUEOUS SOLUTION

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    A b s t r a c

    Isolation and antibiotic susceptibility of bacteria from foot infections in the patients with diabetes mellitus type I and type II in the district of Kancheepuram, Tamil Nadu, India

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    Background:Diabetic foot infections are important cause of morbidity and mortality among persons with diabetes mellitus. The reported prevalence rates in India range from 0.9–8.3%. Diabetes foot lesions are the leading cause of non-traumatic amputations worldwide. A study has been conducted to isolate and find the antibiotic susceptibility pattern of the bacteria from diabetic foot infections from the patients of Kancheepuram district, Tamil Nadu, India.Methods:Sixty patients previously diagnosed or newly diagnosed as diabetic, presented with lower extremity infection attending Tagore medical college and hospital and its peripheral centres were selected for the study. Various specimens (pus, wound exudates, or tissues biopsy) for microbiological studies were obtained from the infected region. The specimens were cultured on blood agar and MacConkey agar for aerobic / facultative anaerobic organisms and on Neomycin Blood Agar for anaerobic organism. The plates were then incubated at 37°C. For anaerobic culture the plates were incubated in the McIntosh anaerobic jar. Isolates obtained are identified by standard laboratory techniques.Results:The result showed that Pseudomonas aeruginosa (48.3%) is the predominant bacterium followed by Staphylococcus aureus (38%) and other bacteria. The anaerobic bacteria are also isolated from the diabetic foot ulcers. The Peptostreptococcus species (26.7%) are the predominant bacteria followed by other bacteria. Further the results showed that 22 patients (37%) showed the multi-bacterial infection and remaining 38 patients (63%) showed mono bacterial infection. The drugs like amikacin, cefepine, ciprofloxacin, cotrimoxazole and roxythromycin are sensitive to many gram positive bacterial isolates.Conclusion:The present study has given the data of various bacteria encountered in the diabetic foot ulcer in the district of Kancheepuram, Tamil Nadu, India and its antibiotic sensitivity pattern. The results clearly reveal that there is no definite aetiology in diabetic foot infections. Many patients presented the infection with the involvement of many bacteria. Further it is evident that many bacteria are multi drug resistant and thus complicating the management of diabetic foot infections.

    The Autobiographical Fiction of Mulkraj Anand’s

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    The novel, Seven Summers is the first in the series of Mulk Raj Anand’s seven volume work, The Seven Ages of Man. Anand introduces his child hero, Krishan Chander, who is only a thinly disguised fictional presentation of Anand himself, and most of his experiences belong to his creator.Seven summers is invaluable in the study of the influences that shaped Anand’s mind and made him the writer and the man he is. His parents and their attitudes influenced him strongly, and his portrait of his family is candid and exact. It is a brilliant novel on childhood. In Seven Summers he dramatizes his own experiences and presents an intense soul searching account of his real life. Krishan Chander is the protagonist of the novel and his early perceptions and impressions form the palpable substance of the story. The novel purportedly deals with the life of krishan in his formative years. The central motif of the novel lies in the exploration of the theme of “innocence” and experience. This novel is invaluable in the study of the influences that shaped the author’s mind and made him the writer and the man he is. His parents and their attitudes influenced him very strongly and his portrait of his family is can did and real. It is a brilliant autobiographical fiction. Even though Krishan is showed as an innocent boy all the incidents and conversations have been clearly depicted by the author- hero

    Numerical treatment for time fractional order phytoplankton-toxic phytoplankton-zooplankton system

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    The study of time-fractional problems with derivatives in terms of Caputo is a recent area of study in biological models. In this article, fractional differential equations with phytoplankton-toxic phytoplankton-zooplankton (PTPZ) system were solved using the Laplace transform method (LTM), the Adomain decomposition method (ADM), and the differential transform method (DTM). This study demonstrates the good agreement between the results produced by using the specified computational techniques. The numerical results displayed as graphs demonstrate the accuracy of the computational methods. The approaches that have been established are thus quite relevant and suitable for solving nonlinear fractional models. Meanwhile, the impact of changing the fractional order of a time derivative and time t t on populations of phytoplankton, toxic-phytoplankton, and zooplankton has been examined using graphical representations. Furthermore, the stability analysis of the LTM approach has been discussed

    Intelligent Mobile Edge Computing Integrated with Blockchain Security Analysis for Millimetre-Wave Communication

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     With the increase in number of devices enabled the Internet of Things (IoT) communication with the centralized cloud computing model. With the implementation of the cloud computing model leads to increased Quality of Service (QoS). The cloud computing model provides the edge computing technologies for the real-time application to achieve reliability and security. Edge computing is considered the extension of the cloud computing technology involved in transfer of the sensitive information in the cloud edge to increase the network security. The real-time data transmission realizes the interaction with the high frequency to derive improved network security. However, with edge computing server security is considered as sensitive privacy information maintenance. The information generated from the IoT devices are separated based on stored edge servers based on the service location. Edge computing data is separated based in edge servers for the guaranteed data integrity for the data loss and storage. Blockchain technologies are subjected to different security problem for the data integrity through integrated blockchain technologies. This paper developed a Voted Blockchain Elliptical Curve Cryptography (VBECC) model for the millimetre wave application. The examination of the blockchain model is evaluated based on the edge computing architecture. The VBECC model develop an architectural model based Blockchain technology with the voting scheme for the millimetre application. The estimated voting scheme computes the edge computing technologies for the estimation of features through ECC model. The VBECC model computes the security model for the data transmission in the edge computing-based millimetre application. The experimental analysis stated that VBECC model uses the data security model ~8% increased performance than the conventional technique
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