Results 21 to 30 of about 89,418 (268)

Nonlinear Impacts of Surface Exchange Coefficient Uncertainty on Tropical Cyclone Intensity and Air‐Sea Interactions

open access: yesGeophysical Research Letters, 2020
Tropical cyclone maximum intensity is believed to result from a balance between the surface friction, which removes energy, and a temperature/moisture (enthalpy) difference between the sea surface and the air above it, which adds energy.
Robert G. Nystrom   +3 more
doaj   +1 more source

Network Analysis of Competitive State Anxiety

open access: yesFrontiers in Psychology, 2021
Competitive state anxiety is an integral feature of sports performance but despite its pervasiveness, there is still much debate concerning the measurement of the construct.
Richard Mullen, Eleri Sian Jones
doaj   +1 more source

Enhancement of Consumption Forecasting by Customers’ Behavioral Predictability Segregation

open access: yesEngineering Proceedings, 2023
The easiest approach to customer activity forecasting involves using the whole available and applicable population of customers that a certain data set contains.
Maria Koshkareva, Anton Kovantsev
doaj   +1 more source

Reread a History: Another Narration from the Biography of Aga Mohammad Khan Qajar A Critique on the Book "Iran's History in the Qajar Period: The Aga Mohammad Khan Era" [PDF]

open access: yesپژوهش‌نامۀ انتقادی متون و برنامه‌های علوم انسانی, 2020
This article criticizes Gholam Hossein Zargarinejad’s book that named "History of Iran in the Qajar Period: The Age of Aga Mohammad Khan”. The life and work of Aga Mohammad Khan Qajar is one of the controversial topics in the Iranian history.
Alireza Mollaiy Tavany
doaj   +1 more source

A New Scheme for Capturing Global Conditional Nonlinear Optimal Perturbation

open access: yesJournal of Marine Science and Engineering, 2022
Conditional nonlinear optimal perturbation (CNOP) represents the initial perturbation that satisfies a certain physical constraint condition, and leads to a maximum prediction error at the moment of prediction.
Siyuan Liu   +8 more
doaj   +1 more source

Seasonal variation in sexual readiness in a facultatively sexual freshwater cnidarian with diapausing eggs

open access: yesEcosphere, 2021
Facultative sexuality combines clonal propagation with sexual reproduction within a single life cycle. Clonal propagation enables quick population growth and the occupancy of favorable habitats.
Jácint Tökölyi   +2 more
doaj   +1 more source

The role of prediction in learned predictiveness.

open access: yesJournal of Experimental Psychology: Animal Learning and Cognition, 2020
Learning permits even relatively uninteresting stimuli to capture attention if they are established as predictors of important outcomes. Associative theories explain this “learned predictiveness” effect by positing that attention is a function of the relative strength of the association between stimuli and outcomes.
Carla J. Eatherington, Mark Haselgrove
openaire   +4 more sources

Dynamics and predictability of secondary eyewall formation in sheared tropical cyclones

open access: yesJournal of Advances in Modeling Earth Systems, 2017
This study examines the predictability and dynamics of tropical cyclone (TC) secondary eyewall formation (SEF), eyewall replacement cycles (ERC), and intensity changes under moderate environmental shear through convection‐permitting ensemble simulations.
Fuqing Zhang   +3 more
doaj   +1 more source

Evaluating the Forecast Performance of the Meiyu Front Rainbelt Position: A Case Study of the 30 June to 4 July 2016 Extreme Rainfall Event

open access: yesAtmosphere, 2019
An impactful and poorly forecasted heavy rainfall event was observed in association with the Meiyu front over the Yangtze River valley of China from 30 June−4 July 2016. Operational global numerical weather prediction models for almost all forecast
Jie Ma, Kevin A. Bowley, Fuqing Zhang
doaj   +1 more source

Predicting resistance by mutagenesis: lessons from 45 years of MBC resistance

open access: yesFrontiers in Microbiology, 2016
When a new fungicide class is introduced, it is useful to anticipate the resistance risk in advance, attempting to predict both risk level and potential mechanisms.
Nichola J. Hawkins, Bart A. Fraaije
doaj   +1 more source

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