1,696 research outputs found
Obituary: Dr M.K. Bhan – A True Leader & Visionary
No full text12The author remembers Dr M.K. Bhan as a true leader, visionary, a passionate scientist, doctor and a wonderful human being, who has given love and affection to everyone around him
M.K. Asante: “It’s Bigger than Hip Hop: Art, Race and Politics”
No full textIncludes descriptive metadata provided by producer in MPEG-4 video file: "Arts and Culture - Video - M.K. Asante: 'It’s Bigger than Hip Hop: Art, Race and Politics.'" By M.K. Asante. Author and filmmaker Asante delivers the annual Walter R. Murray, Jr., Lecture on Oct. 20, 2010 at the Commons Center. He takes questions after his lecture
A novel method for segmentation of QRS complex on ecg signals and classification of cardiovascular diseases via a hybrid model based on machine learning
No full textAutomated-detecting intelligent programs and methods are developing to find out diseases in medicine in recent years. Developing new methods and improving existing ones are currently ongoing research. One of the most important health problems is heart diseases for all people in the world. Electrocardiography (ECG) is a diagnosis tool that gives substantially functional information about heart and cardiac system. In this work, it is primarily aimed at developing an intelligent system based on ECG signal processing, analysis, and classification via a hybrid machine learning model. This work uses 837 ECG signal fragments that includes 7 different classes shared in MIT-BIH Arrhythmia database for one lead. The ECG signals are applied on a preprocessing to smooth signals and correct baselines. Q, R and S waves (QRS) complex on ECG signals are segmented based on k-means clustering and tracking local extrema points. Feature extraction and selection are then performed, and a dataset is created by calculating measurement parameters for each QRS points separately. Training sets and test sets based on 8-fold cross validation are generated. A hybrid model based on machine learning models including decision tree (DT), k-nearest neighbor (KNN), random forest (RF), naïve bayes (NB), linear discriminant analysis (LDA), support vector machines (SVM) and quadratic discriminant analysis (QDA) is developed to classify cardiovascular diseases (CVD) into 7 different classes such as normal sinus rhythm (NSR), atrial premature beat (APB), atrial fibrillation (AFIB), premature ventricular contraction (PVC), ventricular bigeminy (VB), left bundle branch block beat (LBBBB) and right bundle branch block beat (RBBBB). Sensitivity, specificity, accuracy, and Matthews correlation coefficient (MCC) of detection of QRS complex are obtained respectively as 94.75%, 95.96%, 95.57% and 0.90. Sensitivity, specificity, accuracy and MCC of classification of CVD classes are obtained respectively as 92.33%, 92.50%, 92.41%, 0.85. © 2021, Ismail Saritas. All rights reserved
A Unified Shell model for Buoyancy-Driven Turbulence
No full textWe construct a unified shell model for stably stratified and convective turbulence. Shell model simulation of stably stratified flow in turbulent regime exhibit Bolgiano-Obukhbov (BO) scaling in which the kinetic energy spectrum varies as . However, simulation of convective turbulence shows Kolmogorov's spectrum. These results are consistent with the direct numerical simulations of Kumar {\em et al.} [Phys. Rev. E {\bf 90}, 023016 (2014)]. We also observe a dual scaling ( and ) for a limited range of parameters in stably stratified flow
Sweeping has no effect on renormalized turbulent viscosity
No full textWe perform renormalization group analysis (RG) of the Navier-Stokes equation in the presence of constant mean velocity field , and show that the renormalized viscosity is unaffected by , thus negating the ``sweeping effect", proposed by Kraichnan [Phys. Fluids {\bf 7}, 1723 (1964)] using random Galilean invariance. Using direct numerical simulation, we show that the correlation functions for and differ from each other, but the renormalized viscosity for the two cases are the same. Our numerical results are consistent with the RG calculations
Energy transfers in small-scale and large-scale dynamos
No full textWe study energy transfers during magnetic energy growth in small-scale and large-scale dynamos. We perform direct numerical simulations for magnetic Prandtl number Pm =20 and 0.2 in a periodic box on 1024^3 grid. Energy fluxes and shell-to-shell energy transfers indicate that in small-scale dynamo for Pm =20, the magnetic energy growth takes place due to a non-local energy transfer from large-scale velocity field to small-scale magnetic field. On the other hand, in large-scale dynamo for Pm =0.2, local energy transfers from large-scale velocity field to large-scale magnetic field takes place
Hardiness and Outcome of Self-catheterisation Training (HOST):protocol for an observational study exploring the effects of personality traits in women on ability to learn clean intermittent self-catheterisation
Get PDFClean intermittent self-catheterisation (CISC) is the recommended first-line management of voiding dysfunction; however, psychological factors involved in acceptance and take up are often neglected. There is a tendency to discuss the success of CISC in relation to factors that affect teaching and learning, with subsequent success or failure being attributed to these. There is limited research investigating what extent, personality traits impact on a woman's willingness to learn CISC and subsequent mastery of the technique
Author Correction: Long-range chiral exchange interaction in synthetic antiferromagnets
Get PDFIn the version of this Article originally published, the sentence ‘D.-S.H. wrote the paper with K.L., J.H. and M.K.’ in the author contributions was incorrect; it should have read ‘D.-S.H. wrote the paper with K.L., J.H., M.-H.J. and M.K.’ This has been corrected in the online versions of the Article
Implicit large-eddy simulation of the stratocumulus-topped boundary layer: A grid sensitivity study
No full textA range of implicit large-eddy simulations of the stratocumulus-topped boundary layer is performed to study the influence of grid resolution on selected parameters including liquid water path and second and third moments of vertical velocity fluctuations. The simulations are based on two sets of aircraft measurements, which are also used to evaluate the results of the simulations. The specific case presented here indicates that simulations with a grid aspect ratio accounting for the anisotropic nature of the turbulence near the surface and at the top of the boundary layer lead to better agreement with measurements than simulations with an isotropic grid
Author correction: Clear and transparent nanocrystals for infrared-responsive carrier transfer
No full textThe original version of this Article omitted the fourth author Taizo Yoshinaga, who is from the 'Graduate School of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Japan'. Consequently, the third sentence of the Author Contributions, 'M.S. and M.K. synthesized the ITO NCs and ITO/semiconductor oxides' was revised to 'M.S., M.K. and T.Y. synthesized the ITO NCs and ITO/semiconductor oxides'. This has been corrected in both the PDF and HTML versions of the Article
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