WHO: World Health Organization

Harris, Amy

doi:10.5260/chara.12.4.54

Cited by 7 publications

(3 citation statements)

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“…The topics and possible solutions discussed during the in-depth interviews with stakeholders reflect their concerns and perspectives at the time of the data collection. Although the study was conducted before the recent Covid-19 pandemic [91], it remains relevant. Besides the obvious and inescapable connections to be made between the ecological health of ecosystems and human health [92], many of the recommendations which were geared towards increasing the sustainability of agri-food systems would also contribute to their resilience to future challenges.…”

Section: Discussionmentioning

confidence: 99%

Stakeholder Perceptions of Policy Tools in Support of Sustainable Food Consumption in Europe: Policy Implications

et al. 2020

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Transitioning agri-food systems towards increased sustainability and resilience requires that attention be paid to sustainable food consumption policies. Policy-making processes often require the engagement and acceptance of key stakeholders. This study analyses stakeholders’ solutions for creating sustainable agri-food systems, through interviews with a broad range of stakeholders including food value chain actors, non-governmental organizations, governmental institutions, research institutions and academic experts. The study draws on 38 in-depth, semi-structured interviews conducted in four European countries: France, Iceland, Italy and the UK, as well as three interviews with high-level EU experts. The interviewees’ solutions were analysed according to a five-category typology of policy tools, encompassing direct activity regulations, and market-based, knowledge-based, governance and strategic policy tools. Most of the identified solutions were located in the strategic tools category, reflecting shared recognition of the need to integrate food policy to achieve long-term goals. Emerging solutions—those which were most commonly identified among the different national contexts—were then used to derive empirically-grounded and more universally applicable recommendations for the advancement of sustainable food consumption policies.

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Section: Discussionmentioning

confidence: 99%

Stakeholder Perceptions of Policy Tools in Support of Sustainable Food Consumption in Europe: Policy Implications

et al. 2020

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“…According to the World Health Organization (2011), hypertension and cardiovascular events continue to constitute the leading global diseases affecting more than 20% of the world's population (Harris, 2011). Although very important progress in the treatment and prevention of these diseases has been found, intense contemporary research efforts are aiming to unravel new diagnostic tools.…”

Section: Introductionmentioning

confidence: 99%

Mathematical biomarkers for the autonomic regulation of cardiovascular system

Campos¹,

Pereira²,

Muralikrishna³

et al. 2013

Front. Physiol.

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Heart rate and blood pressure are the most important vital signs in diagnosing disease. Both heart rate and blood pressure are characterized by a high degree of short term variability from moment to moment, medium term over the normal day and night as well as in the very long term over months to years. The study of new mathematical algorithms to evaluate the variability of these cardiovascular parameters has a high potential in the development of new methods for early detection of cardiovascular disease, to establish differential diagnosis with possible therapeutic consequences. The autonomic nervous system is a major player in the general adaptive reaction to stress and disease. The quantitative prediction of the autonomic interactions in multiple control loops pathways of cardiovascular system is directly applicable to clinical situations. Exploration of new multimodal analytical techniques for the variability of cardiovascular system may detect new approaches for deterministic parameter identification. A multimodal analysis of cardiovascular signals can be studied by evaluating their amplitudes, phases, time domain patterns, and sensitivity to imposed stimuli, i.e., drugs blocking the autonomic system. The causal effects, gains, and dynamic relationships may be studied through dynamical fuzzy logic models, such as the discrete-time model and discrete-event model. We expect an increase in accuracy of modeling and a better estimation of the heart rate and blood pressure time series, which could be of benefit for intelligent patient monitoring. We foresee that identifying quantitative mathematical biomarkers for autonomic nervous system will allow individual therapy adjustments to aim at the most favorable sympathetic-parasympathetic balance.

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“…Over the last half century, the age-adjusted incidence of non-Hodgkin lymphoma (NHL) has more than tripled [1,2]. Although some portion of this " epidemic " of NHL can be attributed to human immunodefi ciency virus (HIV), the causes of most cases of NHL in the general population remain unknown.…”

mentioning

confidence: 99%

Dissecting lymphoma incidence to inform epidemiologic and clinical research

Morton

2013

Leukemia & Lymphoma

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WHO: World Health Organization

Cited by 7 publications

References 0 publications

Stakeholder Perceptions of Policy Tools in Support of Sustainable Food Consumption in Europe: Policy Implications

Stakeholder Perceptions of Policy Tools in Support of Sustainable Food Consumption in Europe: Policy Implications

Mathematical biomarkers for the autonomic regulation of cardiovascular system

Dissecting lymphoma incidence to inform epidemiologic and clinical research

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