Results 1 to 10 of about 2,950,016 (287)

Prediction of flood quantiles at ungauged catchments for the contiguous USA using Artificial Neural Networks

open access: yesHydrology Research, 2022
In this study, we utilise Artificial Neural Network (ANN) models to estimate the 100- and 1500-year return levels for around 900,000 ungauged catchments in the contiguous USA.
Valeriya Filipova   +3 more
doaj   +1 more source

Diagnostic significance of clinical and laboratory indices in predicting non-alcoholic fatty liver disease during screening studies

open access: yesТерапевтический архив, 2021
Aim. To study the significance of clinical and laboratory non-invasive indexes along with the insulin resistance index when carrying out diagnostic assessment of non-alcoholic fatty liver disease (NAFLD) during screening examinations.
Aleksandr E. Nosov   +5 more
doaj   +1 more source

Risk of aortic aneurysm and aortic dissection with the use of fluoroquinolones in Korea: a nested case–control study

open access: yesBMC Cardiovascular Disorders, 2022
Background Recent studies have raised concern about the association of fluoroquinolones with an increased risk of aortic aneurysm and aortic dissection. We aimed to evaluate such risk in a Korean population.
Nayeong Son   +4 more
doaj   +1 more source

A Deep Learning Model for Generalized Surface Water Flooding across Multiple Return Periods

open access: yesEngineering Proceedings, 2023
Flood modelling is essential for addressing a range of scientific and engineering challenges. In recent years, the high computational demands of solving shallow water equations numerically have led researchers to explore machine-learning-based emulators ...
Syed Kabir, David Wood, Simon Waller
doaj   +1 more source

HYGIENIC ASSESSMENT OF THE IMPACT OF OFF-GRID HEAT SOURCES ON AMBIENT AIR QUALITY AND THE FORMATION OF PUBLIC HEALTH RISKS

open access: yesSiberian Journal of Life Sciences and Agriculture, 2023
Background. The study is relevant due to a significant number (more than 74 thousand) of autonomous heat sources (AHS) in the Russian Federation, especially in its eastern regions. Such sources use solid fuels (coal). AHS, along with other heat and power
Nina V. Zaitseva   +4 more
doaj   +1 more source

Adjusting catastrophe model ensembles using importance sampling, with application to damage estimation for varying levels of hurricane activity

open access: yesMeteorological Applications, 2020
Risk modellers in the insurance industry use catastrophe models to estimate the distribution of possible damage from natural catastrophes. The output from catastrophe models is often adjusted to create alternative risk scenarios.
Stephen Jewson   +3 more
doaj   +1 more source

Risk-Tex [PDF]

open access: yes, 2004
Newsletter published by the Texas State Office of Risk Management discussing news, events, and activities of the agency as well as other topics related to risk management for state employees. This issue includes information about the month of April 2004,
Texas. State Office of Risk Management.
core   +6 more sources

Risk-Tex [PDF]

open access: yes, 2001
Newsletter published by the Texas State Office of Risk Management discussing news, events, and activities of the agency as well as other topics related to risk management for state employees.
Texas. State Office of Risk Management.
core   +4 more sources

What is Risk to Managers?

open access: yesSSRN Electronic Journal, 2021
In an online experiment with a sample of 4287 managers from small- and medium-sized enterprises in Denmark, we present participants with scenario-dependent outcomes of a hypothetical investment prospect and elicit their perception of risk and their perception of the investment’s attractiveness (as a proxy for investment preferences).
Jeppe Christoffersen   +2 more
openaire   +3 more sources

Risk-Tex [PDF]

open access: yes, 2005
Newsletter published by the Texas State Office of Risk Management discussing news, events, and activities of the agency as well as other topics related to risk management for state employees.
Texas. State Office of Risk Management.
core   +3 more sources

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