نتایج جستجو برای: svi

تعداد نتایج: 771  

Journal: :Phlebology 2008
C A Hayes J R Kingsley K R Hamby J Carlow

OBJECTIVES Venous disease was proposed as a cause of restless legs syndrome (RLS) by Dr Karl A Ekbom in 1944, but has since remained largely unexplored. This study examines the effect of endovenous laser ablation (ELA) in patients with concurrent RLS and duplex-proven superficial venous insufficiency (SVI). METHODS Thirty-five patients with moderate to very severe RLS (as defined by the 2003 ...

2014
Nakul Singh Shiva Shankar Eeda Bala Krishna Gudapati Srinivasa Reddy Pushkar Kanade Ghanshyam Palamaner Subash Shantha Padmaja Kumari Rani Subhabrata Chakrabarti Rohit C Khanna

OBJECTIVE To assess the prevalence of blindness and visual impairment (VI), their associated causes and underlying risk factors in three tribal areas of Andhra Pradesh, India and compare this data in conjunction with data from other countries with low and middle income settings. METHODS Using a validated Rapid Assessment of Avoidable Blindness methodology, a two stage sampling survey was perf...

2010
B. Peeters R. Dewil J. F. Van Impe I. Y. Smets

Better understanding (and so better control) of the stickiness phenomenon of drying sludge is critical for proper operation of a variety of industrial dryers, as is the case for the combined centrifuge-dryer system used on the Monsanto Europe site in Antwerp, Belgium. In this paper a binary logistic regression analysis is performed on a 4-years data base, which resulted in an empirical model fo...

2017
Laszlo Nagy Mihaly Ormos

In this paper, we show the fragility of widely-used Stochastic Volatility Inspired (SVI) methodology. Especially, we highlight the sensitivity of SVI to the fitting penalty function. We compare different weight functions and propose to use a novel methodology, the implied vega weights. Moreover, we unveil the relationship between vega weights and the minimization task of observed and fitted pri...

2017
Rishit Sheth Roni Khardon

The stochastic variational inference (SVI) paradigm, which combines variational inference, natural gradients, and stochastic updates, was recently proposed for large-scale data analysis in conjugate Bayesian models and demonstrated to be effective in several problems. This paper studies a family of Bayesian latent variable models with two levels of hidden variables but without any conjugacy req...

Journal: :Bioscience trends 2012
Q Fu W D Mi H Zhang

Respiration variation in arterial pulse pressure (ΔPP) and pulse oximetry plethysmographic waveform amplitude (ΔPOP) are accurate predictors of fluid responsiveness in mechanically ventilated patients. We hypothesized that stroke volume variation (SVV) and pleth variability index (PVI) can predict fluid responsiveness in mechanically ventilated patients during major surgical procedures in H...

1999
B. J. Briedis Tamás D. Gedeon

SVI is a promising new scheme for indexing high-dimensional points and vectors for use in vector retrieval and for nding the k-nearest neighbours. SVI performs an approximate search; that is, it trades oo the completeness of the search for speed. The indexing scheme is built around a rule that was found by applying data mining techniques to sets of random vectors. This approach could well lead ...

2014
Matthew J. Johnson Alan S. Willsky

Bayesian models provide powerful tools for analyzing complex time series data, but performing inference with large datasets is a challenge. Stochastic variational inference (SVI) provides a new framework for approximating model posteriors with only a small number of passes through the data, enabling such models to be fit at scale. However, its application to time series models has not been stud...

Journal: :Journal of personality and social psychology 2006
Jared R Curhan Hillary Anger Elfenbein Heng Xu

Four studies support the development and validation of a framework for understanding the range of social psychological outcomes valued subjectively as consequences of negotiations. Study 1 inductively elicited and coded elements of subjective value among students, community members, and practitioners, revealing 20 categories that theorists in Study 2 sorted into 4 underlying subconstructs: Feel...

2012
Gopal Krushna Pal Adithan Chandrasekaran Ananthanarayanan Palghat Hariharan Tarun Kumar Dutta Pravati Pal Nivedita Nanda Lalitha Venugopal

BACKGROUND The present study was conducted to assess the nature of sympathovagal imbalance (SVI) in prehypertensives by short-term analysis of heart rate variability (HRV) to understand the alteration in autonomic modulation and the contribution of BMI to SVI in the genesis of prehypertension. METHODS Body mass index (BMI), basal heart rate (BHR), blood pressure (BP), rate pressure product (R...

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