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Related Concept Videos

Line Loss01:10

Line Loss

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The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
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Nursing Interventions I: Taxonomy of Nursing Interventions01:03

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Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation.
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Weighted Mean00:57

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While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
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Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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Reducing Line Loss01:18

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
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Atomic Weight01:25

Atomic Weight

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Protons and neutrons have approximately the same mass, about 1.67 × 10-24 grams. Scientists arbitrarily define this amount of mass as one atomic mass unit (amu) or one Dalton. Electrons are much smaller in mass than protons, weighing only 9.11 × 10-28 grams, or about 1/1800 of an atomic mass unit. As a result, they do not contribute much to an element's overall atomic mass. This means that, when considering atomic mass, it is customary to ignore the mass of any electrons and...
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Related Experiment Video

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Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program
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Log2Lose: Development and Lessons Learned From a Mobile Technology Weight Loss Intervention.

Ryan Shaw1, Erica Levine2, Martin Streicher2

  • 1School of Nursing, Duke University, Durham, NC, United States.

JMIR Mhealth and Uhealth
|February 14, 2019
PubMed
Summary

Financial incentives delivered via mobile health technology can effectively promote weight loss. The Log2Lose feasibility trial demonstrated automated feedback loops for weight loss and dietary self-monitoring incentives.

Keywords:
cell phonedietmobile phoneweight loss

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Area of Science:

  • Health Technology
  • Behavioral Science
  • Obesity Research

Background:

  • Financial incentives are increasingly used for weight loss promotion.
  • Mobile health (mHealth) strategies offer near-real-time incentives for weight loss and behavioral modification.
  • Integrating mHealth tools like apps, cellular scales, and text messaging can bridge the gap between desired behaviors and financial rewards.

Purpose of the Study:

  • To describe the development of an innovative technology-based solution for weight loss.
  • To report lessons learned from the Log2Lose feasibility trial.
  • To evaluate near-real-time financial incentives for weight loss and dietary self-monitoring.

Main Methods:

  • Recruited 96 participants with BMI ≥ 30 kg/m² for a 24-week trial.
  • Utilized biweekly group sessions, MyFitnessPal for calorie logging, and BodyTrace cellular scales.
  • Randomized participants into 4 groups receiving financial incentives for weight loss and/or self-monitoring, with automated data analysis and text message feedback.

Main Results:

  • Developed a custom software platform for automated data analysis and incentive delivery.
  • Identified challenges related to technology, data transmission, and participant engagement.
  • Demonstrated the feasibility of automating incentive eligibility determination through consistent validation and beta testing.

Conclusions:

  • Automated feedback loops using mHealth technology can effectively deliver health interventions.
  • The Log2Lose trial successfully demonstrated a methodology for incentivizing weight loss and self-monitoring.
  • This approach holds promise for scalable and engaging weight management programs.