Results 1 to 10 of about 146,966 (119)

Inducing feelings of ignorance makes people more receptive to expert (economist) opinion [PDF]

open access: yesJudgment and Decision Making, 2020
While they usually should, people do not revise their beliefs more to expert (economist) opinion than to lay opinion. The present research sought to better understand the factors that make it more likely for an individual to change their mind when faced ...
Ethan A. Meyers   +4 more
doaj   +2 more sources

Overconfidence

open access: yesLexicon Philosophicum, 2021
Overconfidence occurs when persons overestimate their abilities in general or with respect to a specific task/context. This bias causes systematic errors, yet it is found in 70% of tested individuals, suggesting that this trait gives an adaptive ...
Gilberto Corbellini
doaj   +1 more source

Discrepancies in Serology-Based and Nucleic Acid-Based Detection and Quantitation of Tomato Spotted Wilt Orthotospovirus in Leaf and Root Tissues from Symptomatic and Asymptomatic Peanut Plants

open access: yesPathogens, 2021
Thrips-transmitted tomato spotted wilt orthotospovirus (TSWV) causes spotted wilt disease in peanuts. A serological test (DAS-ELISA) is often used to detect TSWV in peanut leaf samples. However, in a few studies, DAS-ELISA detected more TSWV infection in
Pin-Chu Lai   +4 more
doaj   +1 more source

Less-Intelligent and Unaware? Accuracy and Dunning–Kruger Effects for Self-Estimates of Different Aspects of Intelligence

open access: yesJournal of Intelligence, 2022
People’s perceptions of their intelligence correlate only moderately with objective intelligence measures. On average, people overestimate themselves. According to the popular Dunning–Kruger effect, this is particularly true for low performers: across ...
Gabriela Hofer   +3 more
doaj   +1 more source

Reducing WCET Overestimations in Multi-Thread Loops with Critical Section Usage

open access: yesEnergies, 2021
Worst-case execution time (WCET) is an important metric in real-time systems that helps in energy usage modeling and predefined execution time requirement evaluation.
Simona Ramanauskaite   +5 more
doaj   +1 more source

Cross-Sectional Analysis of Fall-Related Factors with a Focus on Fall Prevention Self-Efficacy and Self-Cognition of Physical Performance among Community-Dwelling Older Adults

open access: yesGeriatrics, 2023
This study aimed to determine how fall prevention self-efficacy and degree of deviation in self-cognition of physical performance, which have recently received attention for their potential to explain falls in combination with a wide variety of fall ...
Shintaro Hayashi   +3 more
doaj   +1 more source

Application of Machine Learning Techniques to Predict the Price of Pre-Owned Cars in Bangladesh

open access: yesInformation, 2021
Pre-owned cars (i.e., cars with one or more previous retail owners) are extremely popular in Bangladesh. Customers who plan to purchase a pre-owned car often struggle to find a car within a budget as well as to predict the price of a particular pre-owned
Fahad Rahman Amik   +3 more
doaj   +1 more source

Measuring the Accuracy of Self-assessment Among Undergraduate Students in Higher Education to Enhance Competitiveness [PDF]

open access: yesJournal of Competitiveness, 2017
This study analyses the educational self-assessment of Hungarian under-graduate business students, focusing primarily on the concept of accuracy as students predict and evaluate their own accountancy performance in traditional and digital (Moodle ...
Máté Domicián, Darabos Éva
doaj   +1 more source

Taylor Expansion and Matrix-Based Interval Analysis of Linear Arrays With Patch Element Pattern Tolerance

open access: yesIEEE Access, 2021
In this study, a novel interval analysis (IA) approach for linear arrays with element pattern tolerance is proposed. This study differentiates itself from the classic interval analysis (CIA) method because it focuses on the effects of the array element ...
Peng Li, Chao Wang, Wanye Xu, Liwei Song
doaj   +1 more source

Correcting Underestimation and Overestimation in PolInSAR Forest Canopy Height Estimation Using Microwave Penetration Depth

open access: yesRemote Sensing, 2022
PolInSAR is an active remote sensing technique that is widely used for forest canopy height estimation, with the random volume over ground (RVoG) model being the most classic and effective forest canopy height inversion approach.
Hongbin Luo   +4 more
doaj   +1 more source

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