21 research outputs found

    Multi Target Optimization of Turbojet Engine with Multi Target Genetic Algorithm

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    Abstract: In this paper, Turbojet engine will be optimized in ideal condition by multi target genetic algorithm. Target functions are specific thrust (ST), specific fuel consumption (SFC) and thermal efficiency (η t ) that will be optimized simultaneously according to design variables and in two by two way and their Pareto points will be showed. Design variables included inlet Mach number and total compressor pressure ratio. Then according to Pareto points important relations between target functions will be introduced. It is obvious that these relations without using these methods are inaccessible

    Call to Action: SARS-CoV-2 and CerebrovAscular DisordErs (CASCADE)

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    Background and purpose: The novel severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), now named coronavirus disease 2019 (COVID-19), may change the risk of stroke through an enhanced systemic inflammatory response, hypercoagulable state, and endothelial damage in the cerebrovascular system. Moreover, due to the current pandemic, some countries have prioritized health resources towards COVID-19 management, making it more challenging to appropriately care for other potentially disabling and fatal diseases such as stroke. The aim of this study is to identify and describe changes in stroke epidemiological trends before, during, and after the COVID-19 pandemic. Methods: This is an international, multicenter, hospital-based study on stroke incidence and outcomes during the COVID-19 pandemic. We will describe patterns in stroke management, stroke hospitalization rate, and stroke severity, subtype (ischemic/hemorrhagic), and outcomes (including in-hospital mortality) in 2020 during COVID-19 pandemic, comparing them with the corresponding data from 2018 and 2019, and subsequently 2021. We will also use an interrupted time series (ITS) analysis to assess the change in stroke hospitalization rates before, during, and after COVID-19, in each participating center. Conclusion: The proposed study will potentially enable us to better understand the changes in stroke care protocols, differential hospitalization rate, and severity of stroke, as it pertains to the COVID-19 pandemic. Ultimately, this will help guide clinical-based policies surrounding COVID-19 and other similar global pandemics to ensure that management of cerebrovascular comorbidity is appropriately prioritized during the global crisis. It will also guide public health guidelines for at-risk populations to reduce risks of complications from such comorbidities. © 202

    Data set for "Self-assembly of ionic and non-ionic surfactants in type IV cerium nitrate and urea based deep eutectic solvent"

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    This is the dataset for cationic surfactants dodecyl trimethylammoniumnitrate/bromide (C12TANO3/C12TAB), anionic surfactant sodium dodecyl sulfate (SDS), and non-ionic surfactants hexaethylene glycol monododecyl ether (C12EO6) and octaethylene glycol monohexadecyl ether (C16EO8) in a Type IVDES comprising the metal salt cerium (III) nitrate hexahydrate and urea in the ratio 1:3.5. The folder contains data from the SANS measurements along with the fits, tensiometery measurements used to calculate the cmc and the characterization data including the DSC and viscosity measurements.Small Angle Neutron Scattering Measurements were carried out at room temperature on SANS2D instrument at the ISIS Pulsed Neutron and Muon Source, UK (RB1920676) Differential scanning calorimetry (DSC) measurements to determine the melting/transition temperature of the neat DES were carried out on a TA Instruments DSC-Q20 differential scanning calorimeter. The viscosity of the DES was measured using a TA Instruments HR-3 Discovery Hybrid Rheometer operating in flat plate geometry with Peltier temperature control. Room temperature viscosity data for the DES was obtained for applied shear rate ranging from 0.1−100 1/s at 25C the temperature sweep data was measured at shear rate of 1 1/s for temperature ranging from−10C to 40C.The SANS data was fitted using SasView software and plotted in Igor 6.

    Seismological and field observations from the 1990 November 6 Furg (Hormozgan) earthquake: a rare case of surface rupture in the Zagros mountains of Iran.

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    We document a unique example of a co-seismic surface rupture in the Zagros mountains of SE Iran. Using P- and SH-waveform inversion, aftershock distributions and field observations we show that the Mw 6.4 1990 November 6 Furg (Hormozgan) earthquake was associated with ∼15 km of south-facing surface ruptures with an average vertical displacement of ∼1 m. Earthquakes of Mw 6–7 are common in the Zagros mountains of Iran. However, no co-seismic surface ruptures associated with thrust faulting have been reported before now, and blind thrusting appears to be more common. Source parameters determined from seismology and measurements from the surface ruptures indicate slip on a fault dipping ∼30◦N. Although there is likely to be considerable uncertainty in at least some locations, the aftershock activity measured in the month following the earthquake appears to be broadly confined to a diffuse area around the northward-dipping fault. The geomorphology of the epicentral region contains indications of both long-term Quaternary uplift and cumulative fault scarps from repeated earthquakes. The Furg earthquake probably occurred on a reactivated section of the High Zagros fault, a geological suture from the early history of the Iran–Eurasia collision. The 1990 earthquake is likely to have ruptured to the surface because of its unusual location in the High Zagros zone, away from the present-day focus of seismic activity in the Simply Folded zone of the Zagros. It is possible that other sections of the High Zagros sutures still have the potential to generate earthquakes

    Mashhad stroke and heart atherosclerotic disorder (MASHAD) study: design, baseline characteristics and 10-year cardiovascular risk estimation

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    Objective: The Mashhad stroke and heart atherosclerotic disorder (MASHAD) study is a 10-year cohort study that aims to evaluate the impact of various genetic, environmental, nutritional and psychosocial risk factors on the incidence of cardiovascular events among an urban population in eastern Iran. Methods: The MASHAD study comprises a cohort of 9704 individuals aged 35-65 years using a stratified cluster random sampling design. This cohort will be followed up until 2020, with follow-up examinations being undertaken every 3 years. Ten-year cardiovascular disease (CVD) risk estimation was determined using NCEP ATP III criteria. Results: Overall, 88.4 of women and 79.2 of men (P 20 were observed to be 86.6, 11 and 2.5 , respectively. Predicted risk of CVD > 10 using the Framingham algorithm was considerably higher in men compared to women. Overall, 9.5 95 % confidence interval (CI) 8.9�10.1 % of our subjects had prevalent CAD. Conclusion: The prevalence of CVD risk factors within our population is high compared to Western countries, indicating the necessity for interventional risk modifications. © 2015, Swiss School of Public Health

    Data set for "Self-assembly of ionic and non-ionic surfactants in type IV cerium nitrate and urea based deep eutectic solvent"

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    This is the dataset for cationic surfactants dodecyl trimethylammoniumnitrate/bromide (C12TANO3/C12TAB), anionic surfactant sodium dodecyl sulfate (SDS), and non-ionic surfactants hexaethylene glycol monododecyl ether (C12EO6) and octaethylene glycol monohexadecyl ether (C16EO8) in a Type IVDES comprising the metal salt cerium (III) nitrate hexahydrate and urea in the ratio 1:3.5. The folder contains data from the SANS measurements along with the fits, tensiometery measurements used to calculate the cmc and the characterization data including the DSC and viscosity measurements
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