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13 results for “ambivalence”
BRAIN Journal-The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services-Figure 2. Frequency of principal strong indices related to 102 'strong articles'
<p>We ordered the obtained data for the identified strengths and weaknesses. This was done by giving a point for each presence of an index, or not giving it for its absence. Thus, we quantified a total of 63 strengths and 91 weaknesses. In addition to finding a great diversity of views captured in the selected texts, the primary data analysis allowed us to set the parameters with the highest frequency. So, the most important for strengths is flexibility representing 29.7% of the total of studied bibliography and an occurrence frequency of 13.6% from the total of identified strengths (Figure 2). </p>
BRAIN Journal-The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services-Figure 1. Frequencies of strengths and weaknesses through a survey of literature from 2000 to 2012
<p>We identified 192 specific studies which analyze, directly or indirectly, the subject of the strengths and weaknesses of e-learning educational services, respectively those containing the idea of some of their strengths and weaknesses ambivalence. The frequencies of strengths and weaknesses reported to intervals corresponding to the years when they were published are shown in Figure1. </p>
BRAIN Journal-The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services-Figure 3.Frequency of principal week indices related to the 101 'week articles'
<p>Reduced social interaction is the most important for weaknesses, representing 9.4% of the total of studied bibliography and an occurrence frequency of 5.5% (Figure3). A significant frequency difference of the weaknesses indices compared to the strengths indices was observed. If the top 5 strengths have frequencies ranging between 13.6% and 7%, none of the weaknesses has an occurrence frequency over 6%, all barely ranging between 5.5% and 3.4%, relative to the middle of strengths frequency range. For the practice of e-learning educational services, this may show either a still insufficient detection or theoretical analysis of weaknesses, or, indeed, the superiority of these services.</p>
BRAIN Journal-The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services-Figure 5. Frequency of common indices related to 102 'common articles'
<p>An additional and very interesting perspective is provided by the analysis of common indices (ambivalent), based on the 102 works-common articles type, and their frequencies (Figure 5). </p> <p>The data reading indicates 13 ambivalent indices as percentages in descending order: 1. flexibility, 19%; 2. interactivity, 15.4%; 3. cost, 13%; 4. accessibility, 12%; 5. time, 7%; 6. anxiety/reduce social impact, 7%; 7. usability, 6%; 8. connection, 4%; 9. develop skills, 4%; 10. responsibility, 4%; 11. quality, 4%; 12. diversity, 3%; 13. delivery, 1% (Figure 5).</p>
BRAIN Journal-The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services-Figure 4. Frequency of strong/weak indices related to the 102 'common articles'
<p>Based on the data presented in Figure 2 and Figure 3 and carrying out a comparative and cumulative analysis to identify ambivalent strengths and weaknesses, the 102 ambivalent strong/weak indices related to the 'common articles' in Figure 4 were highlighted. </p> <p>Their analysis shows that: 1. There are at least 13 ambivalent indicators identified in the studied literature (Table 1); 2. The strengths weight is 62% while the weight of weaknesses is 38.9%, resulting in a pretty big difference in favor of underlining and supporting the strengths, 23.1% more than in favor of weaknesses. These data indicate a significantly higher perception and approach in favor of appreciating the strengths of e-learning educational services, even in the case of their ambivalence. 3. In this context, the data illustrate the following three cases: 3.1. a huge gap between the perception and the interpretation of an index as strength and as weakness (e.g., flexibility is regarded 7.5 times more a strength rather than a weakness). It can be seen that this category of indices definitely belongs to strengths, acknowledged and validated by a large number of studies. In relation to these, efforts will be made for the development, improvement, elevation and obtaining superior parameters. 3.2. a relative correspondence between the perception and the interpretation of an index as strength and as weakness (e.g., the time required to design and implement educational services is considered a strength at a rate of 3.2% and a weakness at a rate of 3.3%). It results that this category of indices has to be studied thoroughly and watched in experimental studies, to replace the uncertainty area in their analysis, to determine which their area of predominance is, to what extent their identified limits and shortcomings have been reduced to allow their conversion into strengths or not; 3.3. a very large gap between the perception and interpretation of an index as a weakness and as a strength (e.g., lack of instructional delivery is considered as being a weakness 20 times more than a strength).This shows that this category of indices comes into focus as weaknesses which need to be analyzed, studied and experimented in order to reduce their negative impact. </p>
Masked datasets from an fMRI experiment on the impact of semantic priming on the perception of ambivalent (male versus female) faces
<p>Twenty-four female native Dutch speakers participated in the fMRI experiment and gained monetary compensation for their participation. Only female participants were recruited for the study, in order to avoid gender-related confounding factors. The study was approved by the local ethics committee (CMO Arnhem-Nijmegen, Radboud University Medical Center, ethical approval for studies on healthy human subjects at the Donders Centre for Cognitive Neuroimaging, no ECG 2012-0910-058) and conducted in accordance with their guidelines. All participants signed informed consent forms before the experiment. The data from seven subjects were excluded from the analysis: 3 subjects failed to finish the task and 4 subjects exhibited head motion that exceeded the maximum acceptance rate of 2 [mm]. The remaining 17 subjects (females, age 18-29 years) reported no neurological diseases, and had normal or corrected-to-normal vision. </p> <p>A set of realistic 3D faces was morphed across gender (from extremely female to extremely male) using FaceGen Modeller 3.5 (Singular Inversions, www.facegen.com). The morphing procedure started from 40 distinct faces. For each face, we gradually modulated gender features in 5 steps with the same amount of feature transformation in each step. The face stimuli were presented frontally and cropped around the oval of the face. We controlled for luminance using SHINE toolbox for MATLAB. The perceptual boundary within gender continuum of faces was established in a separate behavioral experiment.</p> <p>Each trial started with priming: presentation of a gender-related word 'man' or 'vrouw' for 0.2 [s]. Then, after the fixation cross 0.25 [s]), a face was presented (0.5 [s]), followed by an inter-trial period of a randomized length of 5-7 [s]. Participants were asked to perform a matching task: respond 'yes' if a word and subsequent picture corresponded in gender, and 'no' otherwise. The experiment was carried out in Dutch. The buttons were counterbalanced across subjects. The experiment was divided into 6 blocks in order to avoid fatigue. Each block consisted of 50 trials. The order of stimuli was randomized across blocks and participants. We used Presentation software (version 17.1, www.neurobs.com) in order to screen the stimuli during the experiment.</p> <p>Functional images were acquired using 3T Skyra MRI system (Siemens Magnetom), T2* weighted echo-planar images (gradient-echo, repetition-time TR = 1760 [ms], echo-time TE = 32 [ms], 0.7 [ms] echo spacing, 1626 hz/Px bandwidth, generalized auto-calibrating partially parallel acquisition (GRAPPA), acceleration factor 3, 32 channel brain receiver coil). In total, 78 axial slices were acquired (2.0 [mm] thickness, 2.0*2.0 [mm] in plane resolution, 212 [mm] field of view (FOV) whole brain, anterior-to-posterior phase-encoding direction).</p> <p>The data reprocessing was performed using SPM12 (Welcome Trust Center for Neuroimaging, University College London, UK). Functional scans were realigned to the first scan of the first run with further realignment to the mean scan. We performed slice-time correction on realigned images to account for differences in image acquisition between slices. Motion-related components were removed from the data using a data-driven ICA-AROMA. Denoised functional scans were spatially normalized to the Montreal Neurological Institute (MNI) space without changing the voxel size. Normalized data were smoothed spatially with a Gaussian kernel of 6 [mm] full-width at half-maximum.</p> <p>We extracted region-of-interest (ROI) mask using Anatomical Automatic Labeling atlas (AAL). According to our a priori hypothesis, we preselected the bilateral SPL (4288 voxels) and the bilateral IPL (3792 voxels).</p>
Investigating Attitudinal Ambivalence via Sequential Priming: Evidence for the Simultaneous and Unintentional Activation of Opposite Evaluations
<p>This research tested a central assumption of attitudinal ambivalence research: ambivalent attitude objects simultaneously trigger positive and negative evaluations. It further specifies at which stage this activation is likely to produce an evaluative conflict. Experiments 1 to 3 involved two evaluative priming paradigms, in which ambivalent stimuli served either as primes or as targets. The <em>Ambivalent Primes Paradigm</em> tested the degree to which the concurrent and unintentional activation of positivity and negativity influences responding to univalent targets. The <em>Ambivalent Targets Paradigm</em> tested the degree to which ambivalent targets entail an evaluative response conflict irrespective of prime valence. Experiments 1 and 2 revealed slower responses for ambivalent trials compared to congruent trials in both paradigms. Employing a longer stimulus onset asynchrony, Experiment 3 attested to the short-lived nature of the joint activation of opposite evaluations triggered by ambivalent primes. In contrast, the deliberate categorization of ambivalent targets was not affected by this procedural variation. Finally, by relying on a valent/neutral categorization task, Experiments 4 and 5 indicate that conflicts triggered by ambivalent stimuli occur at the response selection rather than the exposure stage. Our findings lend original empirical support to the assumption that positivity and negativity are activated simultaneously and unintentionally in ambivalent attitude objects. Moreover, the present research suggests that ambivalence generates a conflict only if the task at hand requires a univalent categorization. We discuss the extent to which the activation of ambivalent attitudes may be automatic and the implications of our findings for dual-process models of attitudes.</p>
Efficacy of Varenicline in Ambivalent Smokers
ClinicalTrials.gov study NCT00595868. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Randomized Pilot Study of a mHealth App for Ambivalent Smokers Living With HIV
ClinicalTrials.gov study NCT05339659. IPD Sharing: NO. Countries: 1. Publications: 1.
Development of a mHealth Intervention for Ambivalent Smokers
ClinicalTrials.gov study NCT04560868. IPD Sharing: NO. Countries: 1. Publications: 1.
Research data from the article "The Populist Ambivalence. Presidents and Democracy in Latin America"
<p>Research data from the article "The Populist Ambivalence. Presidents and Democracy in Latin America": dataset, truth table, prime implicants and list of populist presidents with sources supporting that they are populist</p>
Ambivalence Model of Craving: Re-examining the Drinking-craving Relationship
ClinicalTrials.gov study NCT01883089. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prevalence of Ambivalence Regarding Prenatal Testing
ClinicalTrials.gov study NCT00342069. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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