7 resultados para Harmonization

em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast


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Pesticide use is important in agriculture to protect crops and improve productivity. However, they have the potential to cause adverse human health or environmental effects, dependent on exposure levels. This review examines existing pesticide legislation worldwide, focusing on the level of harmonisation, and impacts of differing legislation on food safety and trade. Pesticide legislation varies greatly worldwide as countries have different requirements guidelines and legal limits for plant protection. Developed nations have more stringent regulations than developing countries, which lack the resources and expertise to adequately implement and enforce legislation. Global differences in pesticide legislation act as a technical barrier to trade. International parties such as the European Union (EU), Codex Alimentarius Commission (Codex), and North American Free Trade Agreement (NAFTA) have attempted to harmonise pesticide legislation by providing maximum residue limits (MRLs), but globally these limits remain variable. Globally harmonised pesticide standards would serve to increase productivity, profits and trade, and enhance the ability to protect public health and the environment. 

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Although cerebral palsy (CP) is the most common cause of motor deficiency in young children, it occurs in only 2 to 3 per 1000 live births. In order to monitor prevalence rates, especially within subgroups (birthweight, clinical type), it is necessary to study large populations. A network of CP surveys and registers was formed in 14 centres in eight countries across Europe. Differences in prevalence rates of CP in the centres prior to any work on harmonization of data are reported. The subsequent process to standardize the definition of CP, inclusion/exclusion criteria, classification, and description of children with CP is outlined. The consensus that was reached on these issues will make it possible to monitor trends in CP rate, to provide a framework for collaborative research, and a basis for services planning among European countries.

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While substantive EU non-discrimination law has been harmonized in great detail, the enforcement regime for EU non-discrimination law consists merely of a few isolated elements. Thus, the pursuit of unity through harmonization in substantive EU law is accompanied by considerable regulatory autonomy for Member States in securing the efficiency of those laws, reflecting the diversity of national enforcement regimes, and resulting in twenty-seven different national models for enforcing discrimination law in labour markets. This article pursues two connected arguments through a comparison of rules for enforcing non-discrimination law in labour markets in Britain and Italy. First, it argues that enforcing non-discrimination law in labour markets is best achieved when responsive governance, repressive regulation and mainstreaming equality law are combined. Second, the article submits that diversity of national legal orders within the EU is not necessarily detrimental, as it offers opportunities for mutual learning across legal systems.The notion of mutual learning across systems is proposed in order to analyse the transnational migration of legal ideas within the EU. Such migration has been criticized in debates about the ‘transplantation’ of legal concepts or legal irritation through foreign legal ideas, in particular by comparative labour lawyers. However, EU harmonization policies in the field of non-discrimination law aim to impact on national labour laws. The article develops the notion of mutual learning across legal systems in order to establish conditions for transnational migration of legal ideas, and demonstrates the viability of these concepts by applying them to the field of non-discrimination law

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Background: Oncology is a field that profits tremendously from the genomic data generated by high-throughput technologies, including next-generation sequencing. However, in order to exploit, integrate, visualize and interpret such high-dimensional data efficiently, non-trivial computational and statistical analysis methods are required that need to be developed in a problem-directed manner.

Discussion: For this reason, computational cancer biology aims to fill this gap. Unfortunately, computational cancer biology is not yet fully recognized as a coequal field in oncology, leading to a delay in its maturation and, as an immediate consequence, an under-exploration of high-throughput data for translational research.

Summary: Here we argue that this imbalance, favoring 'wet lab-based activities', will be naturally rectified over time, if the next generation of scientists receives an academic education that provides a fair and competent introduction to computational biology and its manifold capabilities. Furthermore, we discuss a number of local educational provisions that can be implemented on university level to help in facilitating the process of harmonization.

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This chapter examines the legal framework applicable to genetically modified organisms (GMOs) in Ireland, bearing in mind the limited presence of GMOs. As a member of the European Union (EU), a specific, process-based regime applies regarding the authorisation and regulation of GMOs. This is intended to ensure a high level of environmental and human health protection and also enable producer and consumer choice. This regime is highly harmonized, but allows some flexibility regarding its implementation and, soon, the potential to opt-out from cultivation in part or entirely. Although, Ireland has only legislated on the area to the extent and in the manner required by the EU, it may avail of the opt-out in future – understandable in light of the lack of any cultivation currently and the green image of Ireland.
Complementary horizontal legislation and common law principles, relevant to labelling and varying forms of liability, deal with most issues that might arise quite comprehensively. However, they are quite complicated, overlapping and untailored and it is worth considering whether specific legislation should be developed to deal with liability related to GMOs.
Overall, Ireland holds varying stances to different forms of GMOs, with the greatest acceptance and use of GM-feed for pragmatic reasons. It has not developed a specific Irish approach, copy-pasting EU legislation and relying upon existing law to deal with any issues. This is understandable in light of the high level of harmonization and limited presence of GMOs in Ireland, but nonetheless will need to be developed as the availability of GMOs increases.

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The European Eye Epidemiology (E3) consortium is a recently formed consortium of 29 groups from 12 European countries. It already comprises 21 population-based studies and 20 other studies (case-control, cases only, randomized trials), providing ophthalmological data on approximately 170,000 European participants. The aim of the consortium is to promote and sustain collaboration and sharing of data and knowledge in the field of ophthalmic epidemiology in Europe, with particular focus on the harmonization of methods for future research, estimation and projection of frequency and impact of visual outcomes in European populations (including temporal trends and European subregions), identification of risk factors and pathways for eye diseases (lifestyle, vascular and metabolic factors, genetics, epigenetics and biomarkers) and development and validation of prediction models for eye diseases. Coordinating these existing data will allow a detailed study of the risk factors and consequences of eye diseases and visual impairment, including study of international geographical variation which is not possible in individual studies. It is expected that collaborative work on these existing data will provide additional knowledge, despite the fact that the risk factors and the methods for collecting them differ somewhat among the participating studies. Most studies also include biobanks of various biological samples, which will enable identification of biomarkers to detect and predict occurrence and progression of eye diseases. This article outlines the rationale of the consortium, its design and presents a summary of the methodology.