1,151 research outputs found
Exploring Mothers\u27 Influence on Preschoolers\u27 Physical Activity Levels and Sedentary Time
Physical activity (PA) patterns continue from childhood into adulthood; therefore, establishing healthy PA levels early is imperative. Mothers have been identified as influencing preschoolers’ activity behaviours; however, a holistic exploration of maternal influence is lacking. The purpose of this study was to explore maternal influence on preschoolers’ PA and sedentary time. Preschoolers (n = 30) and their mothers wore ActicalTM accelerometers, and mothers completed the adapted Environmental Determinants of Physical Activity in Preschool Children - Parent Survey. Direct entry regression analyses were conducted to explore maternal influence (e.g., support, enjoyment) on preschoolers’ activity levels. Maternal support was a significant predictor of preschoolers’ PA and sedentary time (p \u3c .05), while mothers’ enjoyment of PA was related to preschoolers’ sedentary time, light PA, and total PA (p \u3c .05). Further research using a large diverse sample is warranted to clarify and understand the ways in which mothers impact their preschoolers’ PA behaviours
A “collective effort to make yourself feel better”: The group process in mindfulness-based interventions.
There is growing interest in mindfulness-based interventions (MBIs) in the management of multiple physical and mental health issues. Although MBIs utilize a group format, research on how this format impacts teaching and learning mindfulness is lacking. This study aimed to develop a detailed theory of MBI group processes utilizing a grounded theory methodology.
This article presents our subsequent model, developed from semistructured interviews conducted with MBI students, teachers, and trainers (N = 12). A core category, the group as a vessel on a shared journey, and three higher-order categories emerged from the data. They illustrate how MBI group processes navigate a characteristic path. Teachers build and steer the group “vessel” in a way that fosters a specific culture and sense of safety. The group is facilitated to share communal experiences that augment learning and enrich mindfulness practice. Limitations and implications for clinicians and researchers are discussed
Capability in the digital: institutional media management and its dis/contents
This paper explores how social media spaces are occupied, utilized and negotiated by the British Military in relation to the Ministry of Defence’s concerns and conceptualizations of risk. It draws on data from the DUN Project to investigate the content and form of social media about defence through the lens of ‘capability’, a term that captures and describes the meaning behind multiple representations of the military institution. But ‘capability’ is also a term that we hijack and extend here, not only in relation to the dominant presence of ‘capability’ as a representational trope and the extent to which it is revealing of a particular management of social media spaces, but also in relation to what our research reveals for the wider digital media landscape and ‘capable’ digital methods. What emerges from our analysis is the existence of powerful, successful and critically long-standing media and reputation management strategies occurring within the techno-economic online structures where the exercising of ‘control’ over the individual – as opposed to the technology – is highly effective. These findings raise critical questions regarding the extent to which ‘control’ and management of social media – both within and beyond the defence sector – may be determined as much by cultural, social, institutional and political influence and infrastructure as the technological economies. At a key moment in social media analysis, then, when attention is turning to the affordances, criticisms and possibilities of data, our research is a pertinent reminder that we should not forget the active management of content that is being similarly, if not equally, effective
Exploring the structural relationship between interviewer and self-rated affective symptoms in Huntington’s disease
This study explores the structural relationship between self-report and interview measures of affect in Huntington’s disease. The findings suggest continued use of both to recognize the multidimensionality within a single common consideration of distress
Students’ concern about indebtedness: A rank based social norms account
This paper describes a new model of students' concern about indebtedness within a rank-based social norms framework. Study 1 found that students hold highly variable beliefs about how much other students will owe at the end of their degree. Students' concern about their own anticipated debt – and their intention of taking on a part-time job during term time – was best predicted not by the size of the anticipated debt, but by how they, often incorrectly, believed their debt ranked amongst that of others. Study 2 manipulated hypothetical debt amounts experimentally and found that the same anticipated debt was rated as 2.5 times more concerning when it ranked as the second highest being considered than when it was the fifth highest. Study 3 demonstrated that the model applies to evaluation of different types of debt (income contingent loans versus general debt)
A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices
Deepfake technology has advanced rapidly in recent
years. The widespread availability of deepfake audio technology has raised concerns about its potential misuse for malicious purposes, and a need for more robust countermeasure systems is becoming ever more important. Here we analyse the differences between human and deepfake audio and introduce a novel audio pre-processing approach. Our analysis aims to show the specific locations in the frequency spectrum where these artefacts and distinctions between human and deepfake audio can be found. Our approach emphasises specific frequency ranges that we show are transferable across synthetic speech datasets. In doing so, we explore the use of a bespoke filter bank derived from our analysis of the WaveFake dataset to exploit commonalities across algorithms. Our filter bank was constructed based on a frequency bin analysis of the WaveFake dataset, we apply this filter bank to adjust gain/attenuation to improve the effective signal-to-noise ratio, doing so we reduce the similarities while accentuating differences. We then take a baseline performing
model and experiment with improving the performance using
these frequency ranges to show where these artefacts lie and if this knowledge is transferable across mel-spectrum algorithms. We show that there exist exploitable commonalities between deepfake voice generation methods that generate audio in the mel-spectrum and that artefacts are left behind in similar frequency regions. Our approach is evaluated on the ASVSpoof 2019 Logical Access dataset of which the test set contains unseen generative methods to test the efficacy of our filter bank approach and transferability. Our experiments show that there is enhanced classification performance to be gained from utilizing these transferable frequency bands where there are more artefacts and distinctions. Our highest-performing model provided a 14.75%
improvement in Equal Error Rate against our baseline model
Conceptualizing gratitude and appreciation as a unitary personality trait
Gratitude and appreciation are currently measured using three self-report instruments, the GQ6 (1 scale), the Appreciation Scale (8 scales), and the GRAT (3 scales). Two studies were conducted to test how these three instruments are interrelated, whether they exist under the same higher order factor or factors, and whether gratitude and appreciation is a single or multi-factorial construct. In Study 1 (N = 206) all 12 scales were subjected to an exploratory factor analysis. Both parallel analysis and the minimum average partial method indicated a clear one-factor solution. In Study 2 (N = 389) multigroup confirmatory factor analysis supported the one-factor structure, demonstrated the invariance of this structure across gender, and ruled out the confounding effect of socially desirable responding. We conclude gratitude and appreciation are a single-factor personality trait. We suggest integration of gratitude and appreciation literatures and provide a clearer conceptualization of gratitude
Similar dissection of sets
In 1994, Martin Gardner stated a set of questions concerning the dissection
of a square or an equilateral triangle in three similar parts. Meanwhile,
Gardner's questions have been generalized and some of them are already solved.
In the present paper, we solve more of his questions and treat them in a much
more general context. Let be a given set and let
be injective continuous mappings. Does there exist a set such
that is satisfied with a
non-overlapping union? We prove that such a set exists for certain choices
of and . The solutions often turn out to be attractors
of iterated function systems with condensation in the sense of Barnsley. Coming
back to Gardner's setting, we use our theory to prove that an equilateral
triangle can be dissected in three similar copies whose areas have ratio
for
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