Results 1 to 10 of about 2,783,548 (303)

A sea spray generation function for fetch-limited conditions [PDF]

open access: yesAnnales Geophysicae, 2002
This paper presents a sea spray generation function for aerosols produced by bubbles bursting that accounts for the effects of fetch. This is achieved by introducing a fetch-dependent model for the whitecap fraction, which is valid for fetch ...
J. Piazzola   +3 more
doaj   +1 more source

Motorized spiral enteroscopy in clinical practice: Benefits and results in a single-center cohort study of 204 procedures

open access: yesGastroenterology & Endoscopy, 2023
Objectives: The aim of this paper relies on our clinical experience in a single center with an evaluation of feasibility, clinical benefits, and safety in daily practice based on diagnosis and therapeutic yield using a newly designed Motorized Spiral ...
A. Sportes   +3 more
doaj   +1 more source

A Muscular and Cerebral Physiological Indices Assessment for Stress Measuring during Virtual Wheelchair Guidance

open access: yesBrain Sciences, 2021
The work presented in this manuscript has the purpose to assess the relationship between human factors and physiological indices. We discuss the relationship between stress as human factor and cerebral and muscular signals as features.
Mohamed Moncef Ben Khelifa   +2 more
doaj   +1 more source

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems

open access: yesIEEE Transactions on Smart Grid, 2020
Volt-VAR control is critical to keeping distribution network voltages within allowable range, minimizing losses, and reducing wear and tear of voltage regulating devices.
Wei Wang, N. Yu, Yuanqi Gao, Jie Shi
semanticscholar   +1 more source

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning [PDF]

open access: yesProceedings on Privacy Enhancing Technologies, 2018
In recent years, there have been several works that use website fingerprinting techniques to enable a local adversary to determine which website a Tor user visits. While the current state-of-the-art attack, which uses deep learning, outperforms prior art
Sanjit Bhat   +3 more
semanticscholar   +1 more source

How to Estimate a VAR after March 2020

open access: yesSocial Science Research Network, 2020
This paper illustrates how to handle a sequence of extreme observations—such as those recorded during the COVID-19 pandemic—when estimating a Vector Autoregression, which is the most popular time-series model in macroeconomics.
M. Lenza, Giorgio E. Primiceri
semanticscholar   +1 more source

Nasopharyngeal sialocoele with underlying auditory tube neoplasia in a cat

open access: yesJournal of Feline Medicine and Surgery Open Reports, 2022
Case summary An 8-year-old cat was presented with recent signs related to upper airway obstruction. CT revealed a hypoattenuating mass, with rim enhancement, in the nasopharynx.
Julien Fritz   +4 more
doaj   +1 more source

Modeling Price Dynamics and Risk Forecasting in Tehran Stock Exchange Market: Nonlinear and Non-gaussian Models of Stochastic Volatility [PDF]

open access: yesتحقیقات مالی, 2023
Objective: The daily observations of the total index of the Tehran Stock Exchange show that in the last few years, stock prices have been very volatile. This volatility can harm the economic environment of Iran.
Moslem Nilchi, Daryush Farid
doaj   +1 more source

Artificial intelligence in gastrointestinal endoscopy: general overview

open access: yesChinese Medical Journal, 2020
. Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastrointestinal (GI) endoscopy. AI has the potential to improve the quality of GI endoscopy at all levels.
Ahmad El Hajjar   +2 more
doaj   +1 more source

Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic

open access: yesWorking paper (Federal Reserve Bank of Philadelphia), 2020
In this paper we resuscitate the mixed-frequency vector autoregression (MF-VAR) developed in Schorfheide and Song (2015) to generate real-time macroeconomic forecasts for the U.S. during the COVID-19 pandemic.
F. Schorfheide, Dongho Song
semanticscholar   +1 more source

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