2,007 research outputs found

    Assessment of levetiracetam and valproic acid as monotherapy for quality of life in partial epilepsy patients

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    Background: Quality of life (QOL) is important in patients of epilepsy as it is affected both by disease as well as therapy. QOL is the most overlooked component of antiepileptic treatment.Methods: An observational analytical study was conducted in the Department of Pharmacology in collaboration with Department of Neurology of Himalayan Institute of Medical Science, Dehradun over 12 months. 80 patients satisfying inclusion criteria were enrolled and divided into two groups based on physician discretion and followed up for 12 weeks. Patients were evaluated at 0 and 12 weeks for quality of life using QOLIE-10 self-administered questionnaire, they were also assessed for seizure control and drug related adverse effects.Results: 60 patients were enrolled and divided into two treatment groups as per physician discretion, levetiracetam (30) and valproic acid (30) groups. Study groups showed significant improvement in QOL (mean change in QOL17.95±2.527 for LEV and 11.56±3.540 for VPA). Levetiracetam (LEV) group showed significant improvement over valproic acid (VPA) group (p=0.05) at 12 weeks. Patients who achieved total seizure control at 6 weeks were 93.33% patients in levetiracetam and 90% in valproic acid group, reason being non adherence which was 6.67% and 10% respectively. Adverse event recorded with levetiracetam (03), most common being drowsiness and with valproic acid (08), with most common being anorexia.Conclusions: Levetiracetam therapy has led to better quality of life and has the same seizure control as valproic acid, and has shown to have lower incidence of adverse effect

    Healthcare Monitoring Systems using Li-Fi Networks

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    Constant monitoring of patient's health condition in hospital is either manual or Wi-Fi based system. Wi-Fi based system is became slow in speed due to exponentially increased scalability. In this scenario, Li-Fi finds the places wherever Wi-Fi is applicable with additional features of high speed data network. Apart from the speed factor, Li-Fi is more suitable in hospital application for monitoring the patents' conditions without frequency interference with human body. This paper proposes an application of Li-Fi network in hospital for monitoring the patients' conditions such as temperature, pressure, heartbeat, glucose level and respiratory conditions by using respective sensors. The collected data from the sensors is transmitted to the sink and further these data are processed using microcontroller and sent to display unit in the form of graphs or charts. Based on the concept of visible light communication, a prototype model is built with the PIC microcontroller and basic sensors as peripherals and tested it's working. Thus the application of Li-Fi as a health monitoring system demonstrated experimentally.   Â

    Radiological and clinical evaluation of cockayne syndrome: A case report

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    Cockayne syndrome (CS) is a rare autosomal recessive disorder characterized by premature ageing (progeria), facial anomalies, cachectic dwarfism, mental retardation, cutaneous photosensitivity, and retinopathy, loss of adipose tissue and muscle, and neurological abnormality which are associated with the changes in the brain parenchyma. The findings of computed tomography scan and especially magnetic resonance imaging of the brain support the clinical diagnosis of CS. There is no permanent cure of this condition and death usually occurs in the 2nd or 3rd decade due to functional disability and multiple infections

    Two Distributed Algorithms for E-ticket Validation Protocols for Mobile Clients

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    The e-ticket (electronic ticket) validation problem has relevance in mobile computing environment because of the multiple submission of a ticket that is possible due to intermittent disconnections and mobility of hosts. Here, we propose protocols that are not only sensitive to disconnection but also to location. One of the proposed protocols is the variant of the distributed protocol proposed by Pedone (2000) for Internet users. This shows that a distributed protocol for static network can be restructured for distributed computation in a mobile computing environment. We have also proposed another protocol that uses a hierarchical location database of mobile hosts (Pitoura and Samaras, 2001)

    Discrete interferences optimum beamformer in correlated signal and interfering noise

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    This paper introduces a significant special situation where the noise is a collection of D-plane interference signals and the correlated noise of D+1 is less than the number of array components. An optimal beamforming processor based on the minimum variance distortionless response (MVDR) generates and combines appropriate statistics for the D+1 model. Instead of the original space of the N-dimensional problem, the interference signal subspace is reduced to D+1. Typical antenna arrays in many modern communication networks absorb waves generated from multiple point sources. An analytical formula was derived to improve the signal to interference and noise ratio (SINR) obtained from the steering errors of the two beamformers. The proposed MVDR processor-based beamforming does not enforce general constraints. Therefore, it can also be used in systems where the steering vector is compromised by gain. Simulation results show that the output of the proposed beamformer based on the MVDR processor is usually close to the ideal state within a wide range of signal-to-noise ratio and signal-to-interference ratio. The MVDR processor-based beamformer has been experimentally evaluated. The proposed processor-based MVDR system significantly improves performance for large interference white noise ratio (INR) in the sidelobe region and provide an appropriate beam pattern

    Thermodynamic and kinetic characteristics of an a-amylase from Bacillus licheniformis SKB4

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    An amylolytic bacterial strain, Bacillus licheniformis SKB4 produced maximum amylase at pH 6.5 at 42 °C, and at late stationary phase (24 h) of growth. Starch and peptone were found the best supporting carbon and nitrogen source with C:N ratio of 1:2 for amylase production. The purified enzyme was non-responsive to most of the metal ions except K+ and Mg++ (1.0 mM). The enzyme was stable and active at pH 6.5. The enzyme showed optimum temperature at 90 °C with 10 min of half life (t½) at 100 °C. The Q10 of the enzyme was 1.0. The thermodynamic principles like activation energy, free energy for substrate binding and transition state of the enzyme were found 31.53, 5.53 and -17.4 KJ/Mol of starch, respectively. The kinetic constant like Vmax, Km, K catand catalytic efficiency (Kcat/Km)for starch were found to be 1.04 μmol mg-1 min-1, 6.2 mg ml-1,2 × 103 S-1 and 3.22 × 102 ml mg-1 S-1,respectively. All these findings suggested that this amylase has unique characteristics for starch hydrolysis in respect to thermostability and kinetic properties

    The CMS Outer Hadron Calorimeter

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    The CMS hadron calorimeter is a sampling calorimeter with brass absorber and plastic scintillator tiles with wavelength shifting fibres for carrying the light to the readout device. The barrel hadron calorimeter is complemented with a outer calorimeter to ensure high energy shower containment in CMS and thus working as a tail catcher. Fabrication, testing and calibrations of the outer hadron calorimeter are carried out keeping in mind its importance in the energy measurement of jets in view of linearity and resolution. It will provide a net improvement in missing \et measurements at LHC energies. The outer hadron calorimeter has a very good signal to background ratio even for a minimum ionising particle and can hence be used in coincidence with the Resistive Plate Chambers of the CMS detector for the muon trigger

    Design, Performance, and Calibration of CMS Hadron-Barrel Calorimeter Wedges

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    Extensive measurements have been made with pions, electrons and muons on four production wedges of the Compact Muon Solenoid (CMS) hadron barrel (HB) calorimeter in the H2 beam line at CERN with particle momenta varying from 20 to 300 GeV/c. Data were taken both with and without a prototype electromagnetic lead tungstate crystal calorimeter (EB) in front of the hadron calorimeter. The time structure of the events was measured with the full chain of preproduction front-end electronics running at 34 MHz. Moving-wire radioactive source data were also collected for all scintillator layers in the HB. These measurements set the absolute calibration of the HB prior to first pp collisions to approximately 4%

    Energy Response and Longitudinal Shower Profiles Measured in CMS HCAL and Comparison With Geant4

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    The response of the CMS combined electromagnetic and hadron calorimeter to beams of pions with momenta in the range 5-300 GeV/c has been measured in the H2 test beam at CERN. The raw response with the electromagnetic compartment calibrated to electrons and the hadron compartment calibrated to 300 GeV pions may be represented by sigma = (1.2) sqrt{E} oplus (0.095) E. The fraction of energy visible in the calorimeter ranges from 0.72 at 5 GeV to 0.95 at 300 GeV, indicating a substantial nonlinearity. The intrinsic electron to hadron ratios are fit as a function of energy and found to be in the range 1.3-2.7 for the electromagnetic compartment and 1.4-1.8 for the hadronic compartment. The fits are used to correct the non-linearity of the e pi response to 5% over the entire measured range resulting in a substantially improved resolution at low energy. Longitudinal shower profile have been measured in detail and compared to Geant4 models, LHEP-3.7 and QGSP-2.8. At energies below 30 GeV, the data, LHEP and QGSP are in agreement. Above 30 GeV, LHEP gives a more accurate simulation of the longitudinal shower profile

    Synchronization and Timing in CMS HCAL

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    The synchronization and timing of the hadron calorimeter (HCAL) for the Compact Muon Solenoid has been extensively studied with test beams at CERN during the period 2003-4, including runs with 40 MHz structured beam. The relative phases of the signals from different calorimeter segments are timed to 1 ns accuracy using a laser and equalized using programmable delay settings in the front-end electronics. The beam was used to verify the timing and to map out the entire range of pulse shapes over the 25 ns interval between beam crossings. These data were used to make detailed measurements of energy-dependent time slewing effects and to tune the electronics for optimal performance
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