147 research outputs found

    Green Computing

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    Green computing is all about using computers in a smarter and eco-friendly way. It is the environmentally responsible use of computers and related resources which includes the implementation of energy-efficient central processing units, servers and peripherals as well as reduced resource consumption and proper disposal of electronic waste .Computers certainly make up a large part of many people lives and traditionally are extremely damaging to the environment. Manufacturers of computer and its parts have been espousing the green cause to help protect environment from computers and electronic waste in any way.Research continues into key areas such as making the use of computers as energy-efficient as Possible, and designing algorithms and systems for efficiency-related computer technologies

    Green Computing

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    Green computing is all about using computers in a smarter and eco-friendly way. It is the environmentally responsible use of computers and related resources which includes the implementation of energy-efficient central processing units, servers and peripherals as well as reduced resource consumption and proper disposal of electronic waste .Computers certainly make up a large part of many people lives and traditionally are extremely damaging to the environment. Manufacturers of computer and its parts have been espousing the green cause to help protect environment from computers and electronic waste in any way.Research continues into key areas such as making the use of computers as energy-efficient as Possible, and designing algorithms and systems for efficiency-related computer technologies

    Delay Optimal Event Detection on Ad Hoc Wireless Sensor Networks

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    We consider a small extent sensor network for event detection, in which nodes take samples periodically and then contend over a {\em random access network} to transmit their measurement packets to the fusion center. We consider two procedures at the fusion center to process the measurements. The Bayesian setting is assumed; i.e., the fusion center has a prior distribution on the change time. In the first procedure, the decision algorithm at the fusion center is \emph{network-oblivious} and makes a decision only when a complete vector of measurements taken at a sampling instant is available. In the second procedure, the decision algorithm at the fusion center is \emph{network-aware} and processes measurements as they arrive, but in a time causal order. In this case, the decision statistic depends on the network delays as well, whereas in the network-oblivious case, the decision statistic does not depend on the network delays. This yields a Bayesian change detection problem with a tradeoff between the random network delay and the decision delay; a higher sampling rate reduces the decision delay but increases the random access delay. Under periodic sampling, in the network--oblivious case, the structure of the optimal stopping rule is the same as that without the network, and the optimal change detection delay decouples into the network delay and the optimal decision delay without the network. In the network--aware case, the optimal stopping problem is analysed as a partially observable Markov decision process, in which the states of the queues and delays in the network need to be maintained. A sufficient statistic for decision is found to be the network-state and the posterior probability of change having occurred given the measurements received and the state of the network. The optimal regimes are studied using simulation.Comment: To appear in ACM Transactions on Sensor Networks. A part of this work was presented in IEEE SECON 2006, and Allerton 201

    Unscarred uterine rupture: a retrospective analysis

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    Uterine rupture is an obstetrical emergency associated with significant maternal and fetal mortality and morbidity. Spontaneous rupture of an unscarred uterus, though rare, can occur in developing countries. Many risk factors for uterine rupture, as well as a wide range of clinical presentations, have been identified. The aim of the study was to analyze the incidence, predisposing factors and to determine the maternal and perinatal outcomes of unscarred uterine rupture. A retrospective analysis of cases of unscarred uterine rupture was conducted at the department of obstetrics and gynecology, Andhra Medical College/King George Hospital, Visakhapatnam from 01 October 2020 to 31 October 2021. Out of the 8657 deliveries in our hospital during the study period, there were 11 cases of ruptured unscarred uteri giving an incidence of 0.127%. All of these (100%) were unbooked cases. Most of them (90.9%) were multigravida. Uterine rupture occurred at term in 9 cases and 2 were pre term. Maternal mortality was 18.18% (2 cases) and perinatal mortality was 72.72% (8 cases). Sub-total hysterectomy was done in 4 and laparotomy with repair of the rent was performed in the remaining 7 cases. Unscarred uterine rupture though a rare complication of pregnancy, can occur commonly in developing countries. Obstructed labour, mismanaged labour, injudicious use of oxytocin and grand multiparity are the common risk factors associated with unscarred uterine rupture

    UV SPECTROPHOTOMETRIC METHOD DEVELOPMENT AND VALIDATION FOR SIMULTANEOUS ESTIMATION OF ALPRAZOLAM AND MEBEVERINE HYDROCHLORIDE IN BULK DRUG AND PHARMACEUTICAL FORMULATION

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    A simple, accurate, precise, sensitive, rapid and economical spectrophotometric method was developed and validated for simultaneous estimation of Alprazolam (ALP) and Mebeverine HCl (MBH) in bulk drug and pharmaceutical formulation. The estimation of these drugs was carried out by using 0.1M HCl as a solvent. The wavelength maxima for Alprazolam and Mebeverine HCl were found to be 262.3 nm and 222.5 nm. The linearity range was observed in the concentration range of 3-15 µg/ml for both drugs and regression equation was found to be for ALP 0.0565x+0.0138 and for MBH 0.049x-0.0126. Percentage recoveries for Alprazolam and Mebeverine HCl were found to be 99.84% and 99.47% respectively. % RSD values for Intra-day precision were found to be for ALP 1.18% and for MBH 0.59%. Inter-day precision %RSD values were found to be for ALP 0.94% and for MBH 0.69%. LOD was found to be for ALP 1.42 (µg/ml) and for MBH 2.1542 (µg/ml). LOQ was found to be for ALP 4.3242 (µg/ml) and for MBH 6.5442 (µg/ml). The %Assay of Alprazolam and Mebeverine HCl were found to be 99.20% and 100.02% respectively. Statistical analysis proved that the developed method can be successfully used for simultaneous analysis of Alprazolam and Mebeverne HCl in pure and tablet dosage forms

    A secured Multi keyword Ranked Search Scheme for Encrypted Data in Cloud Storage

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    Cloud computing condition gives on-request access to shared assets that can be made do with insignificant communication of cloud specialist organization and approved support of the client. Cloud stockpiling can be either open or private. Information in the open stockpiling can be seen by all cloud clients. The private information can be seen by the approved client as it were. This paper upgrade the security of the cloud information utilizing Advanced Encryption Standard (AES) encryption algorithm. Information proprietors are persuaded to re-appropriate their information in cloud servers for incredible comfort. Private information ought to be scrambled before redistributing by utilizing keys. Encryption is a significant idea in cloud computing to keep up the database. Existing framework kept up the database by giving secret key to records and archives. The proposed framework gives keys to get to the document and keys are kept up as private and keys are given by the information proprietor. The paper centered ostrovsky conspire (private data recovery) that enables a client to recover document with no data spillage. Trial result are exhibited to test the security of AES algorithm and data spillage

    Preparation and Evaluation of Curcumin Invasomes

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    Curcumin has poor aqueous solubility and has bioavailability problems. Hence in the present study the solubility of curcumin was increased by complexing with cyclodextrin (CD) and Hydroxy propyl β cyclodextrin(HPβCD). This complex was incorporated in to invasomes and then into HPMC gel to prepare as a transdermal formulation. Curcumin cyclodextrin complexes were prepared by physical mixture and co-precipitation method. Different formulations of invasomes containing 0.5, 1.0, 1.5 % of limonene, fenchone, nerolidol  were prepared using mechanical dispersion technique. Invasomes were characterized for vesicular size, surface morphology, zeta potential, entrapment efficiency and percutaneous permeation. Formulations CHL1 and CHL2 were optimized for further studies. It was found in the study that complexation with HPβCD in 1:2 proportion prepared by co-precipitation method was found to bind 90% of curcumin. Invasomal preparation with 0.5% limonene, 4% ethanol was found to enhance permeation by 8.11 times the control. In vivo diffusion studies were conducted using franz diffusion cell, ex vivo skin permeation studies of CHL1 using rat abdominal skin showed cumulative drug permeated (Q24­) of 70.32 µg/cm2, steady state transdermal flux of 3.344 µg/cm2/hr-1, permeability coefficient of 5.35 cm/hr and lag time of 1 hr when compared with control formulation. From the results it was concluded that the solubility of curcumin was increased by complexing with HPβCD and invasomal preparation with 0.5% limonene has improved the permeation through the skin

    Seroprevalence of syphilis in human immunodeficiency virus patients

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    Background: Syphilis is a sexually transmitted infection caused by, Treponema pallidum. Syphilis facilitates the transmission and acquisition of human immunodeficiency virus (HIV) and causes transient increase in the viral load. Sexually transmitted infections (STI) are 3-5 times more likely to acquire HIV infection, if exposed to the virus through sexual contact. Aim of the study was to estimate the seroprevalence of Syphilis in HIV patients.Methods: A total of 920 blood samples were collected from HIV patients attending ART (Antiretroviral therapy) centre and were tested for Syphilis by using Rapid Plasma Reagin (RPR) and Treponema pallidum Hemagglutination Assay (TPHA). A total of 100 HIV non-reactive individuals were taken as a control group.Results: Out of 920 samples, 102 (11.1%) were positive for Syphilis. Out of 102 Syphilis seropositive patients, males (76.5%) were more commonly affected in age group of 21-40 years. Both RPR and TPHA were reactive in 46% of cases and only TPHA reactive in 53.9% of cases. Out of 100 HIV non-reactive patients, 5% of patients are reactive for Syphilis.Conclusions: In the present study, prevalence of Syphilis was more in HIV patients compared to HIV non-reactive persons. Persons with HIV infection acquired through sexual route should be screened for Syphilis by one nonspecific test along with specific test to confirm the diagnosis. This will help in proper management of the patients having Syphilis and HIV co-infection

    ATOMIC-SCALE FINITE ELEMENT OF POST BUCKLING CNT’S

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    This paper illustrates an atomic-scale finite element method AFEM to study the post buckling behavior of Carbon Nano Tubes CNTs. The computed energy curves and critical strain for the (8, 0) single-walled CNT SWNT agree with atomistic simulations. The AFEM is very fast and flexible outstanding to the competence of the finite element method. For the SWNT, the strain energy curves have apparent jumps at morphology changes and during the smooth continuation stages of post buckling, the strain energy varies in the linear order with the strain. For the double-walled CNT, there are only small strain energy releases, and the strain energy also changes approximately piecewise linearly with the strain. The morphologies are obtained in detail. AFEM is computationally rapid and is an alternative efficient way to study the post buckling of CNTs
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