Results 11 to 20 of about 78,630 (267)

Does teaching Optimism lower Burnout in residency training– a pilot study

open access: yesJournal of Community Hospital Internal Medicine Perspectives, 2021
Background: Residents frequently experience burnout. Multiple interventions to decrease the risk of burnout have had inconsistent results. In non-medical settings, improving optimism promotes a positive outlook and enhances well-being.
Daniel I. Kim   +11 more
doaj   +1 more source

Comparing personal and social optimism biases: magnitude, overlap, modifiability, and links with social identification and expertise

open access: yesHumanities & Social Sciences Communications, 2021
Individuals are more optimistic about their own future than a comparable person’s future (personal optimism bias). In addition, they show overoptimism toward people or social groups they identify with compared with those they do not identify with (social
Tatjana Aue   +4 more
doaj   +1 more source

Social and cultural factors of the optimism of the youth in Russia

open access: yesСоциологическая наука и социальная практика, 2016
The article identifies and describes in details different types of optimism: emotional, economic, social, and civil. The comparative analysis of the identified types of optimism of the youth (18—30 year-olds) with representatives ofaverage (31—50) and ...
Alexander L. Temnitskiy
doaj   +1 more source

Optimism and survival: health behaviors as a mediator—a ten-year follow-up study of Chinese elderly people

open access: yesBMC Public Health, 2022
Background Optimism—the generalized expectation that good things will happen—is a promising health asset. Mounting evidence indicates that there are specific associations between optimism and survival rates.
Zhang Yue   +5 more
doaj   +1 more source

On the Optimality of Optimal Income Taxation [PDF]

open access: yesSSRN Electronic Journal, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +5 more sources

Asymptotic optimality in stochastic optimization [PDF]

open access: yesThe Annals of Statistics, 2021
We study local complexity measures for stochastic convex optimization problems, providing a local minimax theory analogous to that of Hájek and Le Cam for classical statistical problems. We give complementary optimality results, developing fully online methods that adaptively achieve optimal convergence guarantees. Our results provide function-specific
Duchi, John C., Ruan, Feng
openaire   +3 more sources

Optimizing microservices with hyperparameter optimization

open access: yes2021 17th International Conference on Mobility, Sensing and Networking (MSN), 2021
In the last few years, the cloudification of applications requires new concepts and techniques to fully reap the benefits of the new computing paradigm. Among them, the microservices architectural style, which is inspired by service-oriented architectures, has gained attention from both industry and academia.
Hai Dinh-Tuan   +2 more
openaire   +2 more sources

Optimism and Mental Health in Adolescence: a Prospective Validation Study of the Dutch Life- Orientation Test-Revised (LOT-R-A) for Adolescents

open access: yesPsychologica Belgica, 2021
The study aimed to examine the psychometric properties of the Dutch Life Orientation Test-Revised for Adolescents (LOT-R-A), a self-report questionnaire assessing dispositional optimism, and to evaluate the two-factor structure (optimism, pessimism). The
Anne Kennes   +6 more
doaj   +1 more source

Grown up in the face of values. The subjective dimension of shaping values in human life. [PDF]

open access: yesStudia z Teorii Wychowania, 2021
Man as an active subject, as a creator of his own life and choices. Man, therefore, as a structure capable of managing itself, generating changes in the environment thanks to internal motivation.
Rafał Bodarski
doaj   +1 more source

Optimization and Optimizers for Adversarial Robustness

open access: yesCoRR, 2023
Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algorithms that are commonly used to solve them in practice predominantly rely on projected gradient, and mostly handle perturbations modeled by the $\ell_1$, $\ell_2$ and $\ell_\
Hengyue Liang   +5 more
openaire   +2 more sources

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