Community Engagement in Ireland's Developmental Welfare State: a study of the life cycle approach

The idea that people matter in modern democracies, often referred to as 'civic engagement' is recognised at the highest international level (United Nations 2008: 9). Civic or community engagement is essential to how budgets are decided, policy is developed and public services delivered. Significantly, community engagement is crucial in developing policy for sustained economic and social development. In Ireland the idea of the Developmental Welfare State (DWS) is based on the premise that the social policy system should support citizens so as to reach their full potential. Such a system comprises three overlapping elements: tax and welfare transfer, the provision of services and activist initiatives (National Economic and Social Council, 2005: ix-xviii). Civil Society Organisations have been challenged to 'operationalise the DWS' using a 'life cycle framework' as part of Ireland's corporatist partnership model (Department of Taoiseach, 2006: 40).

Obesity and kidney disease in type 1 and 2 diabetes: an analysis of the National Diabetes Audit

Background: Obesity is increasingly prevalent in many countries. Obesity is a major risk factor for the development of type 2 diabetes but its relationship with diabetic kidney disease (DKD) remains unclear. Some studies have suggested that the metabolic syndrome (including obesity) may be associated with DKD in type 1 diabetes. Aim: To investigate the association between obesity and DKD. Design: Retrospective cross-sectional study. Methods: National Diabetes Audit data were available for the 2007–08 cycle. Type 1 and 2 diabetes patients with both a valid serum creatinine and urinary albumin:creatinine ratio were included. DKD was defined as an estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2, albuminuria or both. Logistic regression was used to analyse associations of obesity (body mass index ≥30 kg/m2) and other variables including year of birth, year of diagnosis, ethnicity and stage of kidney disease. Results: A total of 58 791 type 1 and 733 769 type 2 diabetes patients were included in the analysis. After adjustment, when compared with type 1 diabetes patients with normal renal function those with DKD were up to twice as likely to be obese. Type 2 DKD patients were also more likely to be obese. For example, type 2 diabetes patients with an eGFR <15 ml/min/1.73 m2 and normoalbuminuria, microalbuminuria or macroalbuminuria were all more likely to be obese; odds ratios (95% CI) 1.65 (1.3–2.1), 1.56 (1.28–1.92) and 1.27 (1.05–1.54), respectively. Conclusions: This study has highlighted a strong association between obesity and kidney disease in type 1 diabetes and confirmed their association in type 2 diabetes.

The Influence of Structural Modeshape Variability on Limit Cycle Oscillation Behaviour

Modal analysis is a popular approach used in structural dynamic and aeroelastic problems due to its efficiency. The response of a structure is compo
sed of the sum of orthogonal eigenvectors or modeshapes and corresponding modal frequencies. This paper investigates the importance of modeshapes on the aeroelastic response of the Goland wing subject to structural uncertainties. The wing undergoes limit cycle oscillations (LCO) as a result of the inclusion of polynomial stiffness nonlinearities. The LCO computations are performed using a Harmonic Balance approach for speed, the modal properties of the system are extracted from MSC NASTRAN. Variability in both the wing’s structure and the store centre of gravity location is investigated in two cases:- supercritical and subcritical type LCOs. Results show that the LCO behaviour is only sensitive to change in modeshapes when the nature of the modes are changing significantly.

L'indicateur EU2020 de suivi de la pauvreté et de l'exclusion: une analyse critique

The reduction of poverty and social exclusion is one of the targets of the European Union's 2020 strategy. The appropriateness and success of such a policy require the choice of relevant indicators that not only highlight poverty gaps between countries but also identify the groups of individuals in each country that need particular attention from social policies. The target retained in the European strategy combines three criteria: people living in households below the monetary poverty threshold, poor people “in terms of standard of living” who live in a situation of severe material deprivation, and those who live in households with very low or zero work intensity. We first show that neither the combination nor the intersection of these three criteria produces an adequate measure of the fight against poverty, or an objective for it. We therefore propose an alternative concept, that of “consistent poverty”, which targets people who simultaneously live below the monetary poverty threshold and above a certain level of material deprivation. The special material deprivation module of the EU-SILC 2009 database allows us to examine two versions of this notion of deprivation: the measurement of “severe” deprivation currently used by the European Union, which adopts a threshold with four items, and an alternative measure of “elementary” material deprivation with a three-item threshold. The intersection between our three-item elementary deprivation criterion and the monetary poverty criterion produces more satisfactory results than those obtained by the European Union approach, in terms of both coherency and profile of the population identified.

Analysis of Transonic Limit Cycle Oscillations under Uncertainty

For the computation of limit cycle oscillations (LCO) at transonic speeds, CFD is required to capture the nonlinear flow features present. The Harmonic Balance method provides an effective means for the computation of LCOs and this paper exploits its efficiency to investigate the impact of variability (both structural a nd aerodynamic) on the aeroelastic behaviour of a 2 dof aerofoil. A Harmonic Balance inviscid CFD solver is coupled with the structural equations and is validated against time marching analyses. Polynomial chaos expansions are employed for the stochastic investiga tion as a faster alternative to Monte Carlo analysis. Adaptive sampling is employed when discontinuities are present. Uncertainties in aerodynamic parameters are looked at first followed by the inclusion of structural variability. Results show the nonlinear effect of Mach number and it’s interaction with the structural parameters on supercritical LCOs. The bifurcation boundaries are well captured by the polynomial chaos.

Energy balance of SRC willow used for managing farmyard washings - how does it compare to a conventional wastewater treatment works?

The water and wastewater industry in the UK accounts for around 3% of total energy use and just over 1% of total UK greenhouse gas emissions. Targets for greenhouse gas emissions reduction and higher renewable energy penetration, coupled with rising energy costs, growing demand for wastewater services and tightening EU water quality requirements, have led to an increased interest in alternative wastewater treatment methods. The use of short rotation coppice (SRC) willow for the treatment of wastewater effluent is one such alternative, which brings with it the dual benefits of wastewater treatment and production of biomass for energy. In order to assess the effectiveness of SRC willow, it is important to analyse the overall energy balance in terms of energy input versus energy output. This paper carries out an energy life cycle analysis of a specific SRC willow plantation in Northern Ireland to which farmyard washings (dirty water) are applied. The system boundaries include the establishment, maintenance, and harvesting of the plantation, along with the transport and drying of the wood for biomass combustion. The analysis shows that the overall energy balance is positive, and that the direct and indirect energy demands are 12% and 8% of gross energy production respectively. The energy demands of the plantation are compared with the energy required to treat an equivalent nutrient load in a conventional wastewater treatment plant. While a conventional plant consumes 2.6 MJ/m3 , the irrigation system consumes 1.6 MJ/m3 and the net energy production of the scenario is 48 MJ/m3 .

Prediction of Limit Cycle Oscillations Using an Implicit Aeroelastic-Harmonic Balance Method

This work proposes a extends a novel approach to compute tran sonic Limit Cycle Oscillations using high fidelity analysis. CFD based Harmonic Balance methods have proven to be efficient tools to predict periodic phenomena. This paper’s contribution is to present a methodology to determine the unknown frequency of oscillations using an implicit for- mulation of the HB method to accurately capture Limit Cycle Oscillations (LCOs); this is achieved by defining a frequency updating procedure based on a coupled CFD/CSD Harmonic Balance formulation to find the LCO condition. A pitch/plunge aerofoil and respective linear structural models is used to exercise the new method. Results show consistent agreement between the proposed and time-marching methods for both LCO amplitude and frequency.

Investigation of Limit Cycle Oscillations Using Aeroelastic-Harmonic Balance Method

This work investigates limit cycle oscillations in the transonic regime. A novel approach to predict Limit Cycle Oscillations using high fidelity analysis is exploited to accelerate calculations. The method used is an Aeroeasltic Harmonic Balance approach, which has been proven to be efficient and able to predict periodic phenomena. The behaviour of limit cycle oscillations is analysed using uncertainty quantification tools based on polynomial chaos expansions. To improve the efficiency of the sampling process for the polynomial-chaos expansions an adaptive sampling procedure is used. These methods are exercised using two problems: a pitch/plunge aerofoil and a delta-wing. Results indicate that Mach n. variability is determinant to the amplitude of the LCO for the 2D test case, whereas for the wing case analysed here, variability in the Mach n. has an almost negligible influence in amplitude variation and the LCO frequency variability has an almost linear relation with Mach number. Further test cases are required to understand the generality of these results.

Prediction of limit cycle oscillations under uncertainty using a Harmonic Balance method

The Harmonic Balance method is an attractive solution for computing periodic responses and can be an alternative to time domain methods, at a reduced computational cost. The current paper investigates using a Harmonic Balance method for simulating limit cycle oscillations under uncertainty. The Harmonic Balance method is used in conjunction with a non-intrusive polynomial-chaos approach to propagate variability and is validated against Monte Carlo analysis. Results show the potential of the approach for a range of nonlinear dynamical systems, including a full wing configuration exhibiting supercritical and subcritical bifurcations, at a fraction of the cost of performing time domain simulations.

Microstructure evolution in CLAM steel under low cycle fatigue

In the process of room-temperature low cycle fatigue, the China Low Activation Martensitic steel exhibits at the beginning cyclic hardening and then continuous cyclic softening. The grain size decreased and the martensitic lath transformed to cells/subgrains after the tests. The subgrains increase in size with increasing strain amplitude.

Low cycle fatigue properties of CLAM steel at 823 K

China Low Activation Martensitic (CLAM) steel is considered to be the main candidate material for the first wall components of future fusion reactors in China. In this paper, the low cycle fatigue (LCF) behavior of CLAM steel is studied under fully reversed tension–compression loading at 823 K in air. Total strain amplitude was controlled from 0.14% to 1.8% with a constant strain rate of 2.4×10−3 s−1. The corresponding plastic strain amplitude ranged from 0.023% to 1.613%. The CLAM steel displayed continuous softening to failure at 823 K. The relationship between strain, stress and fatigue life was obtained using the parameters obtained from fatigue tests. The LCF properties of CLAM steel at 823 K followed Coffin–Manson relationship. Furthermore, irregular serration was observed on the stress–strain hysteresis loops of CLAM steel tested with the total strain amplitude of 0.45–1.8%, which was attributed to the dynamic strain aging (DSA) effect. During continuous cyclic deformation, the microstructure and precipitate distribution of CLAM steel changed gradually. Many tempered martensitic laths were decomposed into subgrains, and the size and number of M23C6 carbide and MX carbonitride precipitates decreased with the increase of total strain amplitude. The response cyclic stress promoted the recovery of martensitic lath, while the thermal activation mainly played an important role on the growth of precipitates in CLAM steel at 823 K. In order to have a better understanding of high-temperature LCF behavior, the potential mechanisms controlling stress–strain response, DSA phenomenon and microstructure changes have also been evaluated.

A review on completing arsenic biogeochemical cycle: Microbial volatilization of arsines in environment

Arsenic (As) is ubiquitous in the environment in the carcinogenic inorganic forms, posing risks to human health in many parts of the world. Many microorganisms have evolved a series of mechanisms to cope with inorganic arsenic in their growth media such as transforming As compounds into volatile derivatives. Bio-volatilization of As has been suggested to play an important role in global As biogeochemical cycling, and can also be explored as a potential method for arsenic bioremediation. This review aims to provide an overview of the quality and quantity of As volatilization by fungi, bacteria, microalga and protozoans. Arsenic bio-volatilization is influenced by both biotic and abiotic factors that can be manipulated/elucidated for the purpose of As bioremediation. Since As bio-volatilization is a resurgent topic for both biogeochemistry and environmental health, our review serves as a concept paper for future research directions.

Resistance to chemotherapy in ovarian cancer is miRrored by the microRNA miR-433-dependent dysregulation of the cell cycle.

An understanding of the mechanisms underlying the development of resistance to chemotherapy treatment is a gateway to the introduction of novel therapies and improved outcomes for women presenting with ovarian cancer (OC). The desired apoptotic death post-chemotherapy depends on an intact and fully functioning cell cycle machinery.

In this study we demonstrate that stable expression of miR-433 renders OC cells more resistant to paclitaxel treatment. Interestingly, only cells with the highest miR-433 survived paclitaxel suggesting the possible role of miR-433 in cancer recurrence. Importantly, for the first time we demonstrate that miR 433 induces cellular senescence, exemplified by a flattened morphology, the downregulation of phosphorylated Retinoblastoma (p Rb) and increased β galactosidase activity. Surprisingly, miR 433 induced senescence was independent of two well recognised senescent drivers: p21 and p16. Further in silico analysis followed by in vitro experiments identified CKD6 as a novel miR-433 target gene possibly explaining the observed p21 and p16-independent induction of cellular senescence. Another in silico identified miR-433 target gene was CDC27, a protein involved in the regulation of the cell cycle during mitosis. We demonstrate that the overexpression of pre-miR-433 leads to the downregulation of CDC27 in vitro revealing a novel interaction between miR-433 and CDC27, an integral cell cycle regulating protein.

Interestingly, miR-433 expressing cells also demonstrated an ability to impact their tumour microenvironment. We show that miR-433 is present in exosomes released from miR-433 overexpressing and high miR-433 naïve cells. Moreover, growth condition media (GCM) harvested from cells with high miR-433 have higher levels of IL-6 and IL-8, two key cytokines involved in the senescence associated secretory phenotype (SASP). Importantly, GCM from miR-433-enriched cells repressed the growth of co-cultured cells with initial studies showing a GCM-dependent induction of chemoresistance.

In conclusion, data in this study highlights how the aberrant expression miR-433 contributes to chemoresistance in OC cells. We postulate that standard chemotherapy, particularly paclitaxel, used to treat women with OC may have an attenuated ability to kill cells harbouring increased levels of miR-433, allowing for a subsequent chemoresistant phenotype post-therapy.