Search results for "e learning"
showing 10 items of 2703 documents
Transformative Learning, Bildung and Biographical Research
2017
The objective of this chapter, as the title states, is to relate transformative learning and Bildung within the context of biographical research. If processes of Bildung are defined as changes of attitude towards the world and the self, which is a consensus of Bildungs-oriented biographical research in Germany, and if one agrees furthermore that transformative learning and Bildung go together with fundamental changes of the self or the identity, it is rather surprising to note that both discourses have hardly ever been related.
Two sides of the same coin? A new instrument to assess body checking and avoidance behaviors in eating disorders
2017
Body checking (BC) and avoidance behaviors (BA) are the dominant behavioral features of body image disturbances (BID) that characterize most individuals with eating disorders (EDs). Whereas BC can be reliably assessed, a valid assessment tool for BA is lacking, preventing an adequate assessment of BID differences across different EDs (anorexia nervosa, AN; bulimia nervosa, BN; binge eating disorder, BED). A total of 310 women with EDs and 112 nonclinical controls completed measures of BC-, BA- and ED-related symptoms. BA did not differentiate between EDs, whereas BC did: it was highest in AN and BN, and lowest in BED. Multivariate analyses also discriminated AN from BN based on BC. Given th…
Dosage individualization of erythropoietin using a profile-dependent support vector regression
2003
The external administration of recombinant human erythropoietin is the chosen treatment for those patients with secondary anemia due to chronic renal failure in periodic hemodialysis. The objective of this paper is to carry out an individualized prediction of the EPO dosage to be administered to those patients. The high cost of this medication, its side-effects and the phenomenon of potential resistance which some individuals suffer all justify the need for a model which is capable of optimizing dosage individualization. A group of 110 patients and several patient factors were used to develop the models. The support vector regressor (SVR) is benchmarked with the classical multilayer percept…
Does the proportion of associatively related pairs modulate the associative priming effect at very brief stimulus-onset asynchronies?
2002
A number of experiments have shown that the magnitude of the associative priming effect increases substantially when there is a high proportion of associatively related pairs in the list when the stimulus-onset asynchrony (SOA) between prime and target is long (more than 400 ms). In the present series of experiments we manipulated the proportion of associatively related pairs when the SOA was very brief (less than 200 ms). If processing of a target word is facilitated automatically by the prior presentation of a related prime, the occurrence of priming should be unaffected by the proportion of related pairs in the list. Experiment 1 showed a robust relatedness proportion effect obtained in …
The influence of temporal factors on automatic priming and conscious expectancy in a simple reaction time task.
2009
In a previous study, we reported a dissociation between subjective expectancy and motor behaviour in a simple associative learning task (Perruchet, Cleeremans, & Destrebecqz, 2006). According to previous conditioning studies (Clark, Manns, & Squire, 2001), this dissociation is observed when the to-be-associated events coterminate and thus overlap in time (a training regimen called delay conditioning), but not when they are separated by a temporal delay (trace conditioning). In this latter situation indeed, there tends to be a direct relationship between subjective expectancy and behaviour. In this study, we further investigated this issue in a series of experiments where conscious …
Long-term hydrocephalus alters the cytoarchitecture of the adult subventricular zone
2014
Hydrocephalus can develop secondarily to a disturbance in production, flow and/or absorption of cerebrospinal fluid. Experimental models of hydrocephalus, especially subacute and chronic hydrocephalus, are few and limited, and the effects of hydrocephalus on the subventricular zone are unclear. The aim of this study was to analyze the effects of long-term obstructive hydrocephalus on the subventricular zone, which is the neurogenic niche lining the lateral ventricles. We developed a new method to induce hydrocephalus by obstructing the aqueduct of Sylvius in the mouse brain, thus simulating aqueductal stenosis in humans. In 120-day-old rodents (n = 18 per group), the degree of ventricular d…
Linking empowering leadership to safety participation in nuclear power plants: a structural equation model.
2012
Abstract Introduction Safety participation is of paramount importance in guaranteeing the safe running of nuclear power plants. Method The present study examined the effects of empowering leadership on safety participation. Results Based on a sample of 495 employees from two Spanish nuclear power plants, structural equation modeling showed that empowering leadership has a significant relationship with safety participation, which is mediated by collaborative team learning. In addition, the results revealed that the relationship between empowering leadership and collaborative learning is partially mediated by the promotion of dialogue and open communication. Conclusions The implications of th…
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time
2017
[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed up multimodal registration algorithms. Ten real breasts were used for this work. Their deformation due to the displacement of two compression plates was simulated off-line using the finite element (FE) method. Three machine learning models were trained with the data from those simulations. Then, they were used to predict in real-time the deformation of the breast tissues during the compression. The models were a decision tree and two tree-based ensemble methods (extremely…
A deep learning framework for automatic diagnosis of unipolar depression.
2019
Abstract Background and purpose In recent years, the development of machine learning (ML) frameworks for automatic diagnosis of unipolar depression has escalated to a next level of deep learning frameworks. However, this idea needs further validation. Therefore, this paper has proposed an electroencephalographic (EEG)-based deep learning framework that automatically discriminated depressed and healthy controls and provided the diagnosis. Basic procedures In this paper, two different deep learning architectures were proposed that utilized one dimensional convolutional neural network (1DCNN) and 1DCNN with long short-term memory (LSTM) architecture. The proposed deep learning architectures au…
Keep your eyes open: dispositional vigilance moderates the relationship between operational police stress and stress symptoms.
2017
ABSTRACTBackground: Vigilant coping is characterized by a deep processing of threat-related information. In many cases, vigilant coping increases stress symptoms, whereas avoidant coping decreases negative affect. However, vigilance may be beneficial when stress-eliciting situations involve a risk of injury or escalation as is usually the case in police operations. Design: We investigated the roles of vigilance and cognitive avoidance in police operations in a cross-sectional survey. Methods: The participants were 137 students (104 men, Mage = 28.54, SD = 8.04) from the Federal University of Applied Administrative Sciences; 76 of them were already police officers (work experience: M = 12.59…