Improve memory

The Limits Of Automatic Sensorimotor Processing During Word Processing: Inves...

Abstract While several studies have repeatedly demonstrated an automatic activation of sensorimotor experience during language processing in the form of action-congruency effects, as predicted by t...

Associations Among Executive Function Abilities, Free Water, And White Matter...

7.1. Associations between executive function and white matter microstructure Associations between the EF factors and the FW and white matter microstructure measures are displayed in Table 2. The co...

Associations Among Executive Function Abilities, Free Water, And White Matter...

Moreover, existing studies have focused on samples with high proportions of subjects with MCI and/or AD, and it will be important to examine whether these associations still exist when focusing on ...

Associations Among Executive Function Abilities, Free Water, And White Matter...

ABSTRACT Background: Studies have investigated white matter microstructure about late-life cognitive impairments, with fractional anisotropy (FA) and mean diffusivity (MD) measures thought to captu...

Reduced Specificity And Increased Overgenerality Of Autobiographical Memory P...

3.3.1 | Valence effects On meta-analysing group differences for studies that examined positively valenced cues separately, the results indicated a significant difference between the remitted depres...

Reduced Specificity And Increased Overgenerality Of Autobiographical Memory P...

2.3 | Data extraction and handling Two trained research assistants (co-authors/and/) searched separately. Discipline and memory are inseparable. A well-trained person generally has a better memory,...

Reduced Specificity And Increased Overgenerality Of Autobiographical Memory P...

Abstract Difficulty in accessing specific memories, referred to as reduced memory specificity or over-general memory (OGM), has been established as a marker of clinical depression. Depression is a ...

Microsoft Word - Deep Learning Vs Traditional Models_Abdel Hai_Final.Part 3

In this study, extensive experiments were conducted to determine how many prior encounters are optimal to predict readmission. As the pace of life accelerates, we are exposed to a large amount of i...

Microsoft Word - Deep Learning Vs Traditional Models_Abdel Hai_Final.Part 2

To prepare the data for machine learning models the following data preprocessing techniques were performed. Data and memory are closely related. In modern society, we receive a large amount of info...

Microsoft Word - Deep Learning Vs Traditional Models_Abdel Hai_Final.Part 1

Abstract A hospital readmission risk prediction tool for patients with diabetes based on electronic health record (EHR) data is needed. With the improvement of people's living standards, diabet...

Effects Of Emotion And Semantic Relatedness On Recognition Memory: Behavioral...

2.3 | Discussion In Experiment 1 we observed an associative emotional interference effect, which was attenuated by semantic relatedness. Turning to the EEG data, semantic relatedness did not modula...

Effects Of Emotion And Semantic Relatedness On Recognition Memory: Behavioral...

2.1 | Method 2.1.1 | Participants To determine the required sample size, we first extracted the behavioral effect size obtained by Pierce & Kensinger (2011; N = 32, Cohen's f = 0.42), who e...