Starting points matter: Cash plus training effects on youth entrepreneurship, skills, and resilience during an epidemic

2022 ◽  
Vol 149 ◽  
pp. 105698
Author(s):  
Nina Rosas ◽  
Maria Cecilia Acevedo ◽  
Samantha Zaldivar
Keyword(s):  
Training Effects ◽  
Youth Entrepreneurship

Interval training effects on oxygen kinetics in heart failure patients

2008 ◽  
Vol 7 ◽  
pp. 73-73
Author(s):  
P RODITIS ◽  
S DIMOPOULOS ◽  
A TASOULIS ◽  
A MPOUCHLA ◽  
J VENETSANAKOS ◽  
...  
Keyword(s):  
Heart Failure ◽  
Interval Training ◽  
Training Effects ◽  
Heart Failure Patients ◽  
Oxygen Kinetics

Optimizing skill training: Effects on contextual interference and prior knowledge

1997 ◽  
Author(s):  
Danielle S. McNamara ◽  
Todd M. Eischeid ◽  
Bryan C. Hayes
Keyword(s):  
Prior Knowledge ◽  
Skill Training ◽  
Contextual Interference ◽  
Training Effects

Ethical personality assessment in police recruits, training effects

2011 ◽  
Author(s):  
Brooke Guardanapo ◽  
Jayna Warden ◽  
Elijah Blanton ◽  
George L. Parrott
Keyword(s):  
Personality Assessment ◽  
Training Effects ◽  
Police Recruits

March Madness... or Is It? Training Effects on Predictions and Confidence

2008 ◽  
Author(s):  
Kristin L. Cullen ◽  
Houston F. Lester ◽  
Ana M. Franco-Watkins ◽  
Daniel J. Svyantek
Keyword(s):  
Training Effects ◽  
It Training

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

Contralateral training effects of low-intensity blood-flow restricted and high-intensity unilateral resistance training

2021 ◽  
Author(s):  
Goncalo V. Mendonca ◽  
Carolina Vila-Chã ◽  
Carolina Teodósio ◽  
André D. Goncalves ◽  
Sandro R. Freitas ◽  
...  
Keyword(s):  
Blood Flow ◽  
Resistance Training ◽  
High Intensity ◽  
Training Effects ◽  
Low Intensity

scholarly journals Inferences Training Affects Memory, Rumination, and Mood

2021 ◽  
pp. 216770262110098
Author(s):  
Baruch Perlman ◽  
Nilly Mor ◽  
Yael Wisney Jacobinski ◽  
Adi Doron Zakon ◽  
Noa Avirbach ◽  
...  
Keyword(s):  
Autobiographical Memory ◽  
Cognitive Bias ◽  
Negative Mood ◽  
Cognitive Bias Modification ◽  
Negative Events ◽  
Training Effects ◽  
Causal Inferences ◽  
Causal Mechanisms ◽  
Bias Modification ◽  
Shed Light

Making negative inferences for negative events, ruminating about them, and retrieving negative aspects of memories have all been associated with depression. However, the causal mechanisms that link negative inferences to negative mood and the interplay between inferences, rumination, and memory have not been explored. In the current study, we used a cognitive-bias modification (CBM) procedure to train causal inferences and assessed training effects on ruminative thinking, memory, and negative mood among people with varying levels of depression. Training had immediate effects on negative mood and rumination but not after recall of a negative autobiographical memory. Note that training affected memory: Participants falsely recalled inferences presented during the training in a training-congruent manner. Moreover, among participants with high levels of depression, training also affected causal inferences they made for an autobiographical memory retrieved after training. Our findings shed light on negative cognitive cycles that may contribute to depression.

Sign in / Sign up

Export Citation Format

Share Document