Acute hypoxia improves insulin sensitivity (SI2*) and β cell function in individuals with Type 2 Diabetes

Type 2 diabetes is a multifactorial metabolic disease characterized by defects in β-cells function, insulin sensitivity, glucose effectiveness and endogenous glucose production (1). It is widely accepted that insulin and exercise are potent stimuli for glucose transport (2). Acute exercise is known to promote glucose uptake in skeletal muscle via an intact contraction stimulated mechanism (3), while post-exercise improvements in glucose control are due to insulin-dependant mechanisms (2). Hypoxia is also known to promote glucose uptake in skeletal muscle using the contraction stimulated pathway. This has been shown to occur in vitro via an increase in β-cell function, however data in vivo is lacking. The aim of this study was to examine the effects of acute hypoxia with and without exercise on insulin sensitivity (SI2*), glucose effectiveness (SG2*) and β-cell function in individuals with type 2 diabetes. Following an overnight fast, six type 2 diabetics, afer giving informed written consent, completed 60 min of the following: 1) normoxic rest (Nor Rest); 2) hypoxic rest [Hy Rest; O2 = 14.6 (0.4)%]; 3) normoxic exercise (Nor Ex); 4) hypoxic exercise [Hy Ex; O2 = 14.6 (0.4)%]. Exercise trails were set at 90% of lactate threshold. Each condition was followed by a labelled intravenous glucose tolerance test (IVGTT) to provide estimations of SI2*, SG2* and β-cell function. Values are presented as means (SEM). Two-compartmental minimal model analysis showed SI2* to be higher following Hy Rest when comparisons were made with Nor Rest (P = 0.047). SI2* was also higher following Hy Ex [4.37 (0.48) x10-4 . min-1 (μU/ml)] compared to Nor Ex [3.24 (0.51) x10-4 . min-1 (μU/ml)] (P = 0.048). Acute insulin response to glucose (AIRg) was reduced following Hy Rest vs. Nor Rest (P = 0.014 - Table 1). This study demonstrated that 1) hypoxia has the ability to increase glucose disposal; 2) hypoxic-induced improvements in glucose tolerance in the 4 hr following exposure can be attributed to improvements in peripheral SI2*; 3) resting hypoxic exposure improves β-cell function and 4) exercise and hypoxia have an additive effect on SG2* in type 2 diabetics. These findings suggest a possible use for hypoxia both with and without exercise in the clinical treatment of type 2 diabetes.

Entangled semantics

In the context of monolingual and bilingual retrieval, Simple Knowledge Organisation System (SKOS) datasets can play a dual role as knowledge bases for semantic annotations and as language-independent resources for translation. With no existing track of formal evaluations of these aspects for datasets in SKOS format, we describe a case study on the usage of the Thesaurus for the Social Sciences in SKOS format for a retrieval setup based on the CLEF 2004-2006 Domain-Specific Track topics, documents and relevance assessments. Results showed a mixed picture with significant system-level improvements in terms of mean average precision in the bilingual runs. Our experiments set a new and improved baseline for using SKOS-based datasets with the GIRT collection and are an example of component-based evaluation.

Inflation targeting and the consistency of monetary policy decisions in Mexico: an empirical analysis with discrete choice models

This paper examines the nature of monetary policy decisions in Mexico using discrete choice models applied to the Central Bank's explicit monetary policy instrument. We find that monetary policy adjustments in Mexico have been strongly consistent with the CB's inflation targeting strategy. We also find evidence that monetary policy responds in a forward-looking manner to deviations of inflation from the target and that observed policy adjustments exhibit asymmetric features, with stronger responses to positive than to negative deviations of inflation from the target and a greater likelihood of policy persistence during periods when monetary policy is tightened, compared with periods when policy is loosened.

Community empowerment or a strategy of containment? Evaluating neighbourhood governance in the city of Westminster

The longstanding emphasis on the neighbourhood as a scale for intervention and action has given rise to a variety of forms of governance with a number of different rationales. The predominant rationales about the purpose of neighbourhood governance are encapsulated in a fourfold typology developed by Lowndes and Sullivan (2008). This article sets out to test this approach by drawing on an evaluation of neighbourhood initiatives in the City of Westminster which were delivered through a third sector organisation, the Paddington Development Trust. ‘Insider’ perspectives gathered at city and neighbourhood levels regarding the infrastructure for neighbourhood management are discussed and evaluated in the light of these rationales. The conclusions, while broadly reflecting Lowndes and Sullivan and a follow-up study of Manchester, suggest that in Westminster the civic and economic rationales tend to predominate. However, the Westminster approach is contingent on the prevailing ethos and funding regimes at central and local levels and remains relatively detached from mainstream services. While community empowerment is an important part of the policy rhetoric, it is argued that in practice a ‘strategy of containment’ operates whereby residents in the neighbourhoods have relatively little control over targets and resources and that new governance mechanisms can be relatively easily de-coupled when required. In retrospect, co-production might have been a more effective model for neighbourhood governance, not least given its fit with policy direction.

Does Daily Sunshine make you Happy? Subjective Measures of Well-being and the Weather

This paper examines to what extent individual measures of well-being are correlated with daily weather patterns in the United Kingdom. Merging daily weather data with data from the British Household Panel Survey (BHPS) allows us to test whether measures of well-being are correlated with temperature, sunshine, rainfall and wind speed. We are able to make a strong case for causality due to ‘randomness’ of weather in addition to using regression methods that eliminate time-invariant individual level heterogeneity. Results suggest that some weather parameters (such as sunshine) are correlated with some measures of well-being (job satisfaction); however, in general the effect of weather on subjective measures of well-being is very small.

Public Interests, Private Disputes: Investment Arbitration and the Public Good

This paper seeks to investigate the bases for resistance to arbitration in general -and investor arbitration in particular- focusing on the way in which arbitral tribunals deal with notions of public interest and the public good. The paper hypothesises that while courts have within their terms of reference the capacity to consider notions of public interest, arbitral tribunals do not. It is this core difference in the scope of decision making between the two bodies that could render privately organised dispute resolution unsuitable for disputes that have public aspects, like investor-state disputes. The paper discusses the meaning of public interest and the public good as found in the literature. It then proceeds to consider how tribunals in the investment field have dealt with these concepts. This leads to a conclusion urging not abandonment of arbitration as a component of dispute resolution, but caution. It is argued that unchecked growth in private dispute resolution can threaten perceptions of legitimacy and democratic accountability. The paper adopts a socio-legal methodology in considering the effect of legal mechanisms on social and political phenomena. It is also informed by a law and economics methodology in addressing impacts of dispute resolution mechanisms on economic efficiency. The contribution of the paper rests on theorising motivations for resistance to private dispute resolution, a topical issue in light of the TTIP debate.

Betty Sinclair

Studies in Irish radical leadership is a collection of biographies of labour leaders and radical activists

Are Deep Learning Approaches Suitable for Natural Language Processing?

In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human design or engineering interventions. In addition, DL approaches have achieved some remarkable results. In this paper, we have surveyed major recent contributions that use DL techniques for NLP tasks. All these reviewed topics have been limited to show contributions to text understand-ing, such as sentence modelling, sentiment classification, semantic role labelling, question answering, etc. We provide an overview of deep learning architectures based on Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Recursive Neural Networks (RNNs).