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Effect of Streamwise Fences on Secondary Flows and Losses in a Twodimensional Turbine Rotor Cascade

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journal of Thermal Science 2006年第4期15卷 296-305页

作者： M.Govardhan A.Rajender j.p.Umang Thermal Turbomachines Laboratory Department of Mechanical EngineeringIndian Institute of Technology MadrasChennai 600036India

To control secondary flows, streamwise fences were attached to end wall of a linear turbine rotor cascade. The cascade had 8 blades of 400 mm long and 175 mm chord. The blades deflected the flow by 120°. The fences were made out of 0.7 mm thick brass sheet and the heights of the fences were 14 mm, 18 mm respectively. The curvature of the fences was the same as that of the blade camber line. The fences were fixed normal to the end wall and at half pitch away from the blades. The experimental program consists of total pressure, static pressure measurements at the inlet and outlet of the cascade, by using five-hole probe. In addition, static pressure on the blade suction surface and pressure surface was also obtained. Fences are effective in preventing the movement of the pressure side leg of the horseshoe vortex. Consequently the accumulation of low energy fluid on the suction surface is minimised. End wall losses are reduced by the fences due to weakening of the end wall cross flow.

关键词： Turbine cascade streamwise fences loss core lift coefficient

A geospatial investigation of interlinkage between basement fault architecture and coastal aquifer hydrogeochemistry

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Geoscience Frontiers 2020年第4期11卷 1431-1440页

作者： p.p.Das p.p.Mohapatra S.Goswami M.Mishra j.K.pattanaik ACOAST Amity University HarayanaGurugramIndia Department of Geology North Odisha UniversityOdishaIndia Department of Earth Sciences Sambalpur UniversitySamabalpurOdishaIndia Khallikote University BerhampurOdishaIndia Centre for Geography and Geology Central University of PunjabBhatindaIndia

The Mahanadi delta,deposited on a series of horst and graben basement structures,is considered an extension of the East Lambert Rift of *** study is based on the hydrogeochemical assessment of this deltaic aquifer system and geospatial analysis thereof,to appreciate the basement structure influence on groundwater *** ion chemistry of subsurface waters portrays a distinct saline contamination across the terrain and varied regimes of water types,specifically with respect to southern and northern parts of this aquifer *** of the study indicate a general near surface saline horizon and significant fragmentation of the hydrostatic ***,in turn,implies noteworthy influence of formational water to salinity regimes and basin structural changes for the escape of these waters to surroundings.A plot of recent low intensity earthquakes displays proximity of epicenters to the faults as well as striking similarity to the trend of terrestrial faults indicating multiple reactivations of the *** further corroborate the above findings,spatial pattern analysis of individual hydrochemical variables is carried out which reveals specific clusters of sources(groundwater mixing)and sinks(groundwater dispersion) in proximity to basement fault *** the faults can be disregarded as conduits or barriers owing to their great depth,the overlying sedimentary mass,particularly,the horizons with significant clayey content have been distorted due to post rift subsidence and fault reactivations.A proximity analysis of ionic clusters points towards a greater influence of longitudinal faults to that of the transverse ones on groundwater mixing or dispersion.

关键词： Hydrogeochemistry Mahanadi Geospatial Salinity Cluster analysis

Dexamethasone in coronavirus disease 2019 care:Dosage and utilization insights

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World journal of Virology 2025年第1期14卷 1-4页

作者： Laiba Shamim Imshaal Musharaf Abdulqadir j Nashwan Department of Clinical Medicine Jinnah Sindh Medical UniversityKarachi 75510SindhPakistan Department of Medicine Jinnah Sindh Medical UniversityKarachi 75510SindhPakistan Department of Nursing and Midwifery Research Hamad Medical CorporationDoha 3050Qatar

Coronavirus disease 2019(COVID-19)is a contagious disease caused by severe acute respiratory syndrome coronavirus *** was declared a global pandemic on March 11,2020,by the World Health *** excessive inflammatory response is a severe respiratory manifestation of COVID-19,which becomes predominant in later *** to its immunosuppressive and anti-inflammatory properties,dexamethasone is the first systemic glucocorticoid to treat severe COVID-19 *** editorial reviews the efficacy and safety of highdose vs low-dose dexamethasone in patients with *** indicate that using low-dose dexamethasone is beneficial and emphasize the need for additional research on the use of high-dose *** the study provides a robust evidence base,it is limited by the lack of long-term data,focus on specific outcomes and heterogeneity of the included *** research should focus on the long-term effects of dexamethasone and its impact across varying disease severities and patient populations to refine treatment strategies and improve patient care.

关键词： COVID-19 Severe acute respiratory syndrome Corticosteroid Dexamethasone Anti-inflammatory

Si-SiO_2 interface passivation by plasma NH_3 and atomic H

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Rare Metals 2006年第Z1期25卷 146-149页

作者： WEBER K.j. jAYApRASAD A. SMITH p.j. BLAKERS A. Centre for Sustainable Energy Systems Faculty of Engineering and Information Technology North Road the Australian National University Canberra ACT 0200 Australia Department of physics Faculty of Sciences University of Konstanz Germany Department of Chemistry The Australian National University Canberra ACT 0200 Australia 0200 Australia

plasma ammonia treatment at 400 ℃ leads to de-passivation of a fully hydrogenated Si-SiO2 interface, and to passivation of a fully de-hydrogenated Si-SiO2 interface. plasma NH3 exposure causes irreversible Si surface damage and degradation of thermal stability. Atomic hydrogen exposure, although it results in similar effects on the Si-SiO2 interface, does not introduce additional defects or a decrease of the Si surface thermal stability. The difference between plasma NH3 exposure and atomic H exposure is speculated to be due to either the nitridation of Si-SiO2 interface or radiation damage resulting from plasma NH3 exposure. EpR measurements indicate changes of the paramagnetic defect properties and an increase in the paramagnetic defect density generated by plasma NH3 exposure.

关键词： plasma NH3 atomic H SiO2 EpR

Self-collimation in photonic crystals with anisotropic constituents

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Chinese Optics Letters 2007年第9期5卷 527-530页

作者： j.W.Haus M.Siraj p.prasad p.Markowicz Electro-Optics program University of DaytonDaytonOH 45469-0245 State University of New York at Buffalo Institute for LasersPhotonics and BiophotonicsBuffaloNY 14260-3000

In a photonic crystal composed of anisotropic constituents we quantify the range of input angles and the degree of collimation of the beam inside the crystal. The optical properties of a photobleached 4- dimethylamino-N-methyl-4-stilbazolium-tosylate （DAST） crystal are used in our model to demonstrate the efficacy of the self-collimation features.

关键词： Self-collimation in photonic crystals with anisotropic constituents

A dive into spectral inference networks: improved algorithms for self-supervised learning of continuous spectral representations

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Applied Mathematics and Mechanics(English Edition) 2023年第7期44卷 1199-1224页

作者： j.WU S.F.WANG p.pERDIKARIS Graduate Group in Applied Mathematics and Computational Science University of Pennsylvania PhiladelphiaPA 19104U.S.A. Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania PhiladelphiaPA 19104U.S.A.

We propose a self-supervising learning framework for finding the dominant eigenfunction-eigenvalue pairs of linear and self-adjoint *** represent target eigenfunctions with coordinate-based neural networks and employ the Fourier positional encodings to enable the approximation of high-frequency *** formulate a self-supervised training objective for spectral learning and propose a novel regularization mechanism to ensure that the network finds the exact eigenfunctions instead of a space spanned by the ***,we investigate the effect of weight normalization as a mechanism to alleviate the risk of recovering linear dependent modes,allowing us to accurately recover a large number of *** effectiveness of our methods is demonstrated across a collection of representative benchmarks including both local and non-local diffusion operators,as well as high-dimensional time-series data from a video *** results indicate that the present algorithm can outperform competing approaches in terms of both approximation accuracy and computational cost.

关键词： spectral learning partial differential equation(pDE) neural network slow features analysis

REITERATED HOMOGENIZATION OF DEGENERATE NONLINEAR ELLIpTIC EQUATIONS

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Chinese Annals of Mathematics,Series B 2002年第3期23卷 325-334页

作者： j.BYSTRM j.ENGSTRM p.WALL Dedicated to the memory of jacques-Louis Lions Dedicated to the memory of Jacques-Louis LionsDedicated to the memory of Jacques-Louis Lions

The authors study homogenization of some nonlinear partial differential equations of the form -div (?(hx, h2x,Duh)) =f, where a is periodic in the first two arguments and monotone in the third. In particular the case where a satisfies degenerated structure conditions is studied. It is proved that uh converges weakly in W01,1 (?) to the unique solution of a limit problem as h ? '. Moreover, explicit expressions for the limit problem are obtained.

关键词： Homogenization Reiterated Monotone Degenerated

Advance IoT Intelligent Healthcare System for Lung Disease Classification Using Ensemble Techniques

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Computer Systems Science & Engineering 2023年第8期46卷 2141-2157页

作者： j.prabakaran p.Selvaraj Department of Networking communications Faculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia Department of Computing Technologies Faculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia

In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high storage,and computational *** this paper,an intelligent healthcare system has been proposed for the prediction and severity analysis of lung disease from chest computer tomography(CT)images of patients with pneumonia,Covid-19,tuberculosis(TB),and ***,the CT images are captured and transmitted to the fog node through IoT *** the fog node,the image gets modified into a convenient and efficient format for further *** encryption Standard(AES)algorithm serves a substantial role in IoT and fog nodes for preventing data from being accessed by other operating ***,the preprocessed image can be classified automatically in the cloud by using various transfer and ensemble learning *** different pre-trained deep learning architectures(Inception-ResNet-v2,VGG-19,ResNet-50)used transfer learning is adopted for feature *** softmax of heterogeneous base classifiers assists to make individual *** a meta-classifier,the ensemble approach is employed to obtain final optimal *** predicted image is consigned to the recurrent neural network with long short-term memory(RNN-LSTM)for severity analysis,and the patient is directed to seek therapy based on the *** proposed method achieved 98.6%accuracy,0.978 precision,0.982 recalls,and 0.974 F1-score on five class *** experimental findings reveal that the proposed framework assists medical experts with lung disease screening and provides a valuable second perspective.

关键词： Intelligent health care cloud computing fog computing ensemble learning RNN-LSTM

Effect of dietary fibre on the gastrointestinal microbiota during critical illness:A scoping review

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World journal of Critical Care Medicine 2025年第1期14卷 49-59页

作者： Angajendra N Ghosh Calum j Walsh Matthew j Maiden Tim p Stinear Adam M Deane Department of Intensive Care The Northern HospitalEpping 3076VictoriaAustralia Department of Microbiology and Immunology The Peter Doherty Institute for Infection and ImmunityMelbourne 3052VictoriaAustralia Department of Intensive Care The Royal Melbourne HospitalThe University of MelbourneParkville 3050VictoriaAustralia Department of Intensive Care Medicine The Royal Melbourne HospitalParkville 3050VictoriaAustralia

The systemic effects of gastrointestinal(GI)microbiota in health and during chronic diseases is increasingly *** strategies to modulate the GI microbiota during chronic diseases have demonstrated *** changes in dietary intake can rapidly change the GI microbiota,the impact of dietary changes during acute critical illness on the microbiota remain *** fibre is metabolised by carbohydrate-active enzymes and,in health,can alter GI *** aim of this scoping review was to describe the effects of dietary fibre supplementation in health and disease states,specifically during critical *** controlled trials and prospective cohort studies that include adults(>18 years age)and reported changes to GI microbiota as one of the study outcomes using non-culture methods,were *** show dietary fibres have an impact on faecal microbiota in health and *** fibre,inulin,has a marked and specific effect on increasing the abundance of faecal *** chain fatty acids produced by Bifidobacteria have been shown to be beneficial in other patient *** few trials have evaluated the effect of dietary fibre on the GI microbiota during critical *** research is necessary to establish optimal fibre type,doses,duration of intervention in critical illness.

关键词： Gastrointestinal microbiota Dietary fibre Health Critical illness Short chain fatty acids