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- Döringer, Nora, et al.
(författare)
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Motivational Interviewing to Prevent Childhood Obesity: A Cluster RCT
- 2016
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Ingår i: Pediatrics. - : American Academy of Pediatrics (AAP). - 0031-4005 .- 1098-4275. ; 137:5
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: The objective was to evaluate a manualized theory-driven primary preventive intervention aimed at early childhood obesity. The intervention was embedded in Swedish child health services, starting when eligible children were 9 to 10 months of age and continuing until the children reached age 4. METHODS: Child health care centers in 8 Swedish counties were randomized into intervention and control units and included 1355 families with 1369 infants. Over similar to 39 months, families in the intervention group participated in 1 group session and 8 individual sessions with a nurse trained in motivational interviewing, focusing on healthy food habits and physical activity. Families in the control group received care as usual. Primary outcomes were children's BMI, overweight prevalence, and waist circumference at age 4. Secondary outcomes were children's and mothers' food and physical activity habits and mothers' anthropometrics. Effects were assessed in linear and log-binominal regression models using generalized estimating equations. RESULTS: There were no statistically significant differences in children's BMI (beta = -0.11, 95% confidence interval [CI]: -0.31 to 0.08), waist circumference (beta = -0.48, 95% CI: -0.99 to 0.04), and prevalence of overweight (relative risk = 0.95, 95% CI: 0.69 to 1.32). No significant intervention effects were observed in mothers' anthropometric data or regarding mothers' and children's physical activity habits. There was a small intervention effect in terms of healthier food habits among children and mothers. CONCLUSIONS: There were no significant group differences in children's and mothers' anthropometric data and physical activity habits. There was, however, some evidence suggesting healthier food habits, but this should be interpreted with caution.
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- Sheykhifard, Z., et al.
(författare)
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Magnetic graphene/Ni-nano-crystal hybrid for small field magnetoresistive effect synthesized via electrochemical exfoliation/deposition technique
- 2018
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Ingår i: Journal of Materials Science-Materials in Electronics. - : Springer Science and Business Media LLC. - 0957-4522 .- 1573-482X. ; 29:5, s. 4171-4178
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Tidskriftsartikel (refereegranskat)abstract
- Two-dimensional heterostructures of graphene (Gr) and metal/semiconducting elements convey new direction in electronic devices. They can be useful for spintronics because of small spin orbit interaction of Gr as a non-magnetic metal host with promising electrochemical stability. In this paper, we demonstrate one-step fabrication of magnetic Ni-particles entrapped within Gr-flakes based on simultaneous electrochemical exfoliation/deposition procedure by two-electrode system using platinum as the cathode electrode and a graphite foil as the anode electrode. The final product is an air stable hybrid element including Gr flakes hosting magnetic Ni-nano-crystals showing superparamagnetic-like response and room temperature giant magnetoresistance (GMR) effect at small magnetic field range. The GMR effect is originated from spin scattering through ferromagnetic/non-magnetic nature of Ni/Gr heterostructure and interpreted based on a phenomenological spin transport model. Our work benefits from XRD, XPS, Raman, TEM, FTIR and VSM measurements We addressed that how our results can be used for rapid manufacturing of magnetic Gr for low field magneto resistive elements and potential printed spintronic devices.
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- Vögel, H. -J, et al.
(författare)
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Emotion-awareness for intelligent vehicle assistants : A research agenda
- 2018
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Ingår i: Proceedings - International Conference on Software Engineering. - New York, NY, USA : IEEE Computer Society. - 9781450357395 ; , s. 11-15
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Konferensbidrag (refereegranskat)abstract
- EVA1 is describing a new class of emotion-aware autonomous systems delivering intelligent personal assistant functionalities. EVA requires a multi-disciplinary approach, combining a number of critical building blocks into a cybernetics systems/software architecture: emotion aware systems and algorithms, multimodal interaction design, cognitive modelling, decision making and recommender systems, emotion sensing as feedback for learning, and distributed (edge) computing delivering cognitive services.
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