French Nuclear Forces

Declared French nuclear strategy rests today on the Gaullist doctrine of proportional deterrence elaborated more than two decades ago. Proportional deterrence doctrine states a weak state (France) can deter a strong state (USSR) when the weak nation possesses the capability to inflict enough damage on the strong one so that the value of the conquest of the weak country to the strong one is less than the value of the damage which the weak can inflict on the strong

The climatic impact of food consumption in a representative sample of Irish adults and implications for food and nutrition policy

peer-reviewedTo evaluate the greenhouse gas emissions (GHGE) associated with the diet of Irish adults. GHGE were estimated by applying conversion factors to habitual food consumption data taken from the National Adult Nutrition Survey, which was representative of the population. Descriptive analyses were undertaken for GHGE for the total population, as well as accounting for energy misreporting and across categories of sociodemographic and socio-economic factors and tertiles of emissions. Republic of Ireland. Adults aged 18–87 years (n 1500). The GHGE derived from daily dietary intakes was estimated as 6·5 kg of CO2 equivalents (CO2eq) per person. Males, younger consumers, those with secondary education and student employment status were associated with significantly higher GHGE. Red meat was the highest contributor to GHGE with 1646 g CO2eq arising from a mean intake of 47 g/d. Dairy and starchy staples were the next largest dietary GHGE sources, with mean daily emissions of 732 g CO2eq and 647 g CO2eq, respectively. The lowest emissions were associated with consumption of vegetables, fruits and legumes/pulses/nuts. Based on profiling using actual food consumption data, it is evident that one single measure is not sufficient and a range of evidence-based mitigation measures with potential to lower emissions throughout the food chain should be considered. The research contributes towards an improved understanding of the climatic impact of the dietary intakes of Irish adults and can serve to inform a sustainability framework to guide action in food and nutrition policyThis study was funded by the Department of Agriculture Food and the Marine through the Food Institutional Research Measure (FIRM)funding instrument (grant number 13/F/527)

The Significance of Short Food Supply Chains: Trends and Bottlenecks from the SKIN Thematic Network

peer-reviewedShort Food Supply Chains (SFSCs) are central to the alternative food movement discourse. SFSCs are based upon the interrelations among actors who are directly involved in the production, processing, distribution, and consumption of food products. They depend upon actors mobilising resources of various kinds: skills; knowledge; labour; capital; buildings etc. External factors such as policies and regulations can also encourage the creation of these shorter chains. The development of SFSCs can still be hindered by a range of other factors. Nevertheless, bottlenecks can be overcome via the sharing of information on successful SFSCs through the dissemination of Good Practices between various actors and territories. The Short Supply Chain Knowledge and Innovation (SKIN) project uses the term ‘good’ rather than ‘best’ practice to draw attention to the subjective lens through which a practice is ultimately evaluated by an end-user. This paper first outlines the many issues that confront SFSC actors which represent bottlenecks to the adoption of ‘Good Practices’. It then documents the Good Practices collected as part of the SKIN project as tangible examples of how SFSCs overcome such challenges. Lessons learnt from project highlights are subsequently assessed in an effort to mitigate and offer solutions to the challenges associated with SFSCs. The paper demonstrates the considerable latent potential inherent to SFSCs. However, in order for the agricultural sector to realise the full promise of short supply chains it must first be conscious of the issues pertinent to their prosperity

Sustainability levels in Irish dairy farming: a farm typology according to sustainable performance indicators

Feeding the world’s population in a sustainable manner is one of the key challenges facing the future of global agriculture. The recent removal of the milk quota regime in the European Union has prompted an expansionary phase in dairy farming, especially in Ireland. Achieving this expansion in a sustainable manner is crucial to the long-term survival and success of the Irish dairy sector. In this paper we examine the sustainability of Irish dairy farming, defining ‘sustainability’ as economically profitable, environmentally friendly and socially efficient. A typology of Irish dairy farms has been created using data on profitability, environmental efficiency and social integration derived from the Teagasc National Farm Survey. Economic, social and environmental performance indicators were determined and aggregated and then used in a multivariate analysis for the identification and classification of farm clusters. The purpose of this study to classify Irish dairy farms using performance indicators, thereby, assisting policy makers in identifying patterns in farm performance with a view to formulating more targeted policies. Two of the three clusters elicited from the analysis were similar in regards to their respective indicator scores. However, the remaining cluster was found to perform poorly in comparison. The results indicate a clear distinction between ‘good’ and ‘weak’ performers, and the positive relationship between the economic, environmental and social performance of Irish dairy farms is evident

Factors influencing dairy farmers’ adoption of best management grazing practices

Understanding of farmers’ influences relating to the adoption of innovations is imperative for the Irish dairy sector to improve efficiencies and productivity. There is a particular need for a better appreciation of how farmers’ grassland management practices are shaped. The Spring Rotation Planner (SRP) is a management tool that divides the area of a farm into weekly portions and takes the estimation out of planning the first grazing rotation. It offers a cost-saving alternative on many dairy farms, which could contribute to strengthening the competitiveness of the sector. Adoption rates of the SRP amongst farmers have been low despite extensive promotion of its advantages. This study therefore aims to use psychological constructs to analyse factors that affect the adoption of the SRP by commercial dairy farmers in Ireland. Dairy farmers (n = 256) were surveyed from different regions within the country. Principal Component Analysis was used to empirically confirm the hypothesised Theory of Planned Behaviour (TPB) beliefs. Cluster analysis was thereafter employed as classification criteria to cluster respondents into types. The TPB was subsequently applied to explain intention to implement the SRP. Two clusters of farmers were elicited; low and high adopters of the SRP. Low-Adopters of the SRP were characterised by their high sense of resource constraint. It is recommended that carefully planned communication, targeted at the different farmer types, can help encourage uptake of the SRP

Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems

The Irish beef sector is expected to increase output as part of the most recent national agriculture strategy. General improvements in pasture production efficiency can be achieved by increasing grass utilisation. However, Irish beef production is primarily based on extensive pastoral grazing with low uptake of best management practices among farmers. An important step in facilitating innovation in the sector is to gain improved understanding of the innovative behaviour of farmers. Hence, this study uses psychological constructs to analyse factors that affect the adoption of paddock based grazing systems by Irish beef farmers (n = 382). Farmers were surveyed from different regions within Ireland and Principal Component Analysis used to empirically confirm the hypothesised Theory of Planned Behaviour (TPB) constructs. Cluster analysis was thereafter employed as classification criteria to cluster respondents into types. The TPB was subsequently applied to explain intention to implement the grazing practice. Three clusters of farmers were elicited based on their beliefs of paddock based grazing systems and labelled The Engaged, The Restricted, and The Partially Engaged. The Restricted cluster was particularly unlikely to uptake the grazing practice as they perceived they lacked the required resources to implement the innovation. This was of particular relevance as the practice can be implemented with relatively few resources and therefore signals a knowledge gap. The findings are relevant to policy as they provide insights on the factors influencing the process of targeting knowledge transfer through appropriate channels which can help build potential drivers for behavioural change

Impact of Tumour Epithelial Subtype on Circulating MicroRNAs in Breast Cancer Patients

While a range of miRNAs have been shown to be dysregulated in the circulation of patients with breast cancer, little is known about the relationship between circulating levels and tumour characteristics. The aim of this study was to analyse alterations in circulating miRNA expression during tumour progression in a murine model of breast cancer, and to detemine the clinical relevance of identified miRNAs at both tissue and circulating level in patient samples. Athymic nude mice received a subcutaneous or mammary fat pad injection of MDA-MB-231 cells. Blood sampling was performed at weeks 1, 3 and 6 following tumour induction, and microRNA extracted. MicroRNA microArray analysis was performed comparing samples harvested at week 1 to those collected at week 6 from the same animals. Significantly altered miRNAs were validated across all murine samples by RQ-PCR (n = 45). Three miRNAs of interest were then quantified in the circulation(n = 166) and tissue (n = 100) of breast cancer patients and healthy control individuals. MicroArray-based analysis of murine blood samples revealed levels of 77 circulating microRNAs to be changed during disease progression, with 44 demonstrating changes .2-fold. Validation across all samples revealed miR-138 to be significantly elevated in the circulation of animals during disease development, with miR-191 and miR-106a levels significantly decreased. Analysis of patient tissue and blood samples revealed miR-138 to be significantly up-regulated in the circulation of patients with breast cancer, with no change observed in the tissue setting. While not significantly changed overall in breast cancer patients compared to controls, circulating miR-106a and miR-191 were significantly decreased in patients with basal breast cancer. In tissue, both miRNAs were significantly elevated in breast cancer compared to normal breast tissue. The data demonstrates an impact of tumour epithelial subtype on circulating levels of miRNAs, and highlights divergent miRNA profiles between tissue and blood samples from breast cancer patients

Dynamic control of neurochemical release with ultrasonically-sensitive nanoshell-tethered liposomes

The unique surface plasmon resonance of hollow gold nanoshells can be used to achieve drug release from liposomes upon laser stimulation, and adapted to mimic the intricate dynamics of neurotransmission ex vivo in brain preparations. However, to induce a physiological response in vivo requires the degree of temporal precision afforded by laser stimulation, but with a greater depth of penetration through tissue. Here we report that the attachment of hollow gold nanoshells to the surface of robust liposomes results in a construct that is highly sensitive to ultrasonic stimulation. The resulting construct can be remotely triggered by low intensity, therapeutic ultrasound. To our knowledge, this is the first example of nanoparticle-liposome system that can be activated by both laser and acoustic stimulation. The system is capable of encapsulating the neurochemical dopamine, and repeatedly releasing small amounts on-demand in a circulating environment, allowing for precise spatiotemporal control over the release profile

Automatisierte Planung von digitalen Hochgeschwindigkeitsnetzen

Der Ausbau von digitalen Hochgeschwindigkeitsnetzen ist gekennzeichnet durch neuartige Anforderungen an den Planungsprozess. Diese Anforderungen erfordern wiederum den Einsatz von neuartigen Paradigmen, die eine effiziente und zugleich genaue Planung von flächendeckenden Glasfasernetzen ermöglichen. Hierbei können wiederkehrende Planungsaufgaben durch eine gezielte computergestützte Automatisierung effizienter und genauer ausgeführt, als es mit bisherigen Planungskonzepten möglich ist. Dieses Arbeitspapier beschreibt die computergestützte Ausführung eines Planungsprozesses auf Basis von fünf grundlegenden, iterativen Planungsschritten und gibt Empfehlungen für eine effiziente und genaue Planung von Glasfasernetzen. Der hier vorgestellte Ansatz ermöglicht es Netzbetreibern und Investoren, den Ausbau beliebiger Siedlungs- und Gewerbegebiete auf der zuverlässigen Basis von belastbarem Faktenwissen wirtschaftlich zu priorisieren

Changes in the red giant and dusty environment of the recurrent nova RS Ophiuchi following the 2006 eruption

We present near-infrared spectroscopy of the recurrent nova RS Ophiuchi (RS Oph) obtained on several occasions after its latest outburst in 2006 February. The 1–5 μm spectra are dominated by the red giant, but the H i, He i and coronal lines present during the eruption are present in all our observations. From the fits of the computed infrared spectral energy distributions to the observed fluxes, we find Teff= 4200 ± 200 K for the red giant. The first overtone CO bands at 2.3 μm, formed in the atmosphere of the red giant, are variable. The spectra clearly exhibit an infrared excess due to dust emission longward of 5 μm; we estimate an effective temperature for the emitting dust shell of 500 K, and find that the dust emission is also variable, being beyond the limit of detection in 2007. Most likely, the secondary star in RS Oph is intrinsically variable