Search results for "RECALL"
showing 10 items of 304 documents
Experiencing Effects of Cocaine and Speed with Self-Regulation Therapy.
2015
AbstractThis study demonstrates the efficacy of Self-Regulation Therapy (SRT) to induce effects of cocaine and speed in a single session. SRT is a suggestion procedure of sensorial recall exercises (salivation, feeling of weight, tension, etc.) that increases the capacity to reproduce all sensation types and those that drugs produce. The Self-Regulation Scale (SRS) measures this capacity. Four groups participated, formed according to drug use: Group 1 (uses no illegal drugs); Group 2 (experimentally uses cannabis only); Group 3 (moderate drug users); Group 4 (regular drug users, especially stimulants). All four groups participated in an SRT session to induce relaxation. No differences in th…
Working Memory Alterations Plays an Essential Role in Developing Global Neuropsychological Impairment in Duchenne Muscular Dystrophy
2021
BackgroundNeuropsychological profile of Indian Duchenne muscular dystrophy (DMD) subjects remains unidentified and needs to be evaluated.MethodsA total of 69 DMD and 66 controls were subjected to detailed intelligence and neuropsychological assessment. The factor indexes were derived from various components of Malin’s Intelligence Scale for Indian Children (MISIC) and Rey Auditory Verbal Learning Test (RAVLT).ResultsPoor verbal and visual memory profiles were demonstrated by DMDs, which include RAVLT-immediate recall (IR) (p = 0.042), RAVLT-delayed recall (DR) (p = 0.009), Rey–Osterrieth complex figure test (RCFT)-IR (p = 0.001), and RCFT-DR (p = 0.001). RAVLT-memory efficiency index demons…
Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients
2015
Background: Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). Objectives: To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. Methods: 303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled (49.4% were lost at follow-up). The following MRI parameters, expressed as fraction (f) of intracranial volume, were evaluated: cerebrospinal fluid (CSF-f), WM-f, GM-f and abnormal WM (AWM-f), a measure of lesion load. Nine years later, cognitive status was assessed in 241 patients using the Symbol Dig…
Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising
2017
[EN] The purpose of the present study is to investigate whether the effectiveness of a new ad on digital channels (YouTube) can be predicted by using neural networks and neuroscience-based metrics (brain response, heart rate variability and eye tracking). Neurophysiological records from 35 participants were exposed to 8 relevant TV Super Bowl commercials. Correlations between neurophysiological-based metrics, ad recall, ad liking, the ACE metrix score and the number of views on YouTube during a year were investigated. Our findings suggest a significant correlation between neuroscience metrics and self-reported of ad effectiveness and the direct number of views on the YouTube channel. In add…
The background music-content congruence of TV advertisements: A neurophysiological study
2021
Abstract Music affects viewers’ responses to advertisements. In this study we present the findings of an experiment that investigates the emotional and cognitive reactions of subjects’ brains during exposure to television advertisements with music congruent, and incongruent, with the advertisement content. We analyze the electroencephalography signals and eye-tracking behaviors of a group of 90 women watching six TV advertisements. The study's findings suggested that incongruent music generates higher levels of attention and advertisement recall. On the other hand, frontal asymmetry measured through electroencephalography was shown to be higher with congruent music. Similarly, cognitive wor…
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction
2016
One of the main tasks in chemical industry regarding the sustainability of a product is the prediction of its environmental fate, i.e., its degradation products and pathways. Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. In this chapter, we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate fo…
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications
2019
Medical applications challenge today's text categorization techniques by demanding both high accuracy and ease-of-interpretation. Although deep learning has provided a leap ahead in accuracy, this leap comes at the sacrifice of interpretability. To address this accuracy-interpretability challenge, we here introduce, for the first time, a text categorization approach that leverages the recently introduced Tsetlin Machine. In all brevity, we represent the terms of a text as propositional variables. From these, we capture categories using simple propositional formulae, such as: if "rash" and "reaction" and "penicillin" then Allergy. The Tsetlin Machine learns these formulae from a labelled tex…
Facial Expressions to Evaluate Advertising: A Laboratory versus Living Room Study
2017
In recent years researchers have shown growing interest in the impact of emotions in television commercials and in advertising in general (Park and Thorson, 1990). Emotions also influence the attitude towards the brand and to the ad (Batney and Ray, 1986; Edell and Burke, 1987; Derbaix, 1995), increase the attention of the advertisement (Olney, Hobrook and Bartra, 1991), and brand recall (Stayman and Batra, 1991).
Modifiable Lifestyle Factors and Cognitive Function in Older People: A Cross-Sectional Observational Study
2019
Background: The development of evidence-based interventions for delaying or preventing cognitive impairment is an important challenge. Most previous studies using self-report questionnaires face problems with reliability and consistency due to recall bias or misclassification among older people. Therefore, objective measurement of lifestyle components is needed to confirm the relationships between lifestyle factors and cognitive function. Aims: The current study examined the relationship between lifestyle factors collected with wearable sensors and cognitive function among community-dwelling older people using machine learning. Methods: In total, 855 participants (mean age: 73.8 years) wore…
Dietary intake and food pattern among university students
2000
Dietary intake and food pattern were determined among university students. Nine hundred-eighteen students (384 males and 534 females) completed a 24 hour recall and a questionnaire. This study showed an average energy intake of 10.3 and 8.0 MJ among male and female university students. The mean intakes of energy and magnesium for males and energy, iron, magnesium and zinc for females were lower to the Spanish Recommended Intakes. For males, breakfast, lunch, dinner and snacks bring about 18, 33, 25 and 27% of total dairy energy, respectively, however, for females a 15, 34, 23 and 27% of total dairy energy were obtained for breakfast, lunch, dinner and snacks, respectively. The university po…