A comparative critique of the practice of Irish neutrality in the 'unneutral' discourse

This article takes a comparative, empirical look at the practice of Irish neutrality during World War II. It critiques a model of neutrality presented in a thesis on Irish neutrality called Unneutral Ireland, consisting of factors derived from an analysis of three states regarded as well-established European neutrals—Austria, Sweden and Switzerland—that reflect the practice of neutrality. That model focused on the rights and duties of neutrality; the recognition of Ireland's status by belligerents and others; the disavowal of external help; and freedom of decision and action. This present article focuses on the factors flowing from these latter obligations that are cited in an analysis of the practice of Irish neutrality in the Unneutral thesis as proof of Ireland's 'unneutral' status, i.e. ideology; involvement in economic sanctions; partiality; the practice of Irish citizens joining the British army; and post-World War II factors such as Ireland's EEC membership. In this article, Ireland's practice of neutrality is evaluated against the practice of other European neutral states— Sweden, Switzerland, Austria and Finland (and also Norway's truncated practice of neutrality)—vis-à-vis the above variables. The article also deals with the perennial myths that crop up in 'unneutral' discourses on Irish neutrality, for example, the oftcited incidence of de Valera's alleged visit to the German legation in Ireland to sign a book of condolences on Hitler's death; and the suggestions of a British government offer of a deal on Northern Ireland in exchange for Ireland dropping its neutral stance and supporting the Allies in World War II. The article concludes that the practice of Irish neutrality is equivalent to or superior to the practice of other European neutral states, thus undermining the dominant discourse that Ireland's neutrality is a myth and that Ireland is 'unneutral'

The myth of 'the myth of Irish neutrality': deconstructing concepts of Irish neutrality using international relations theories

A number of academics, journalists and political elites claim that Irish neutrality is a 'myth', and many also characterise public support for Irish neutrality as 'confused' and 'nonrational'. This 'unneutral' discourse in the academic literature and mainstream Irish media is based on an academic thesis, that of an Unneutral Ireland. The Unneutral thesis constructs a particular concept of neutrality in order to draw its conclusion that Ireland is 'unneutral'. Using a poststructuralist approach--a rarity in the discipline of International Relations (IR)--this paper deconstructs concepts of Irish neutrality using a framework of IR theories. The results show that the concept of neutrality put forward in the Unneutral Ireland thesis and the dominant discourses on Irish neutrality are based on a hegemonic IR theory, the theory of neorealism, rather than on seemingly 'objective' scientific research methods. The paper concludes that non-realist theories and approaches may provide a better understanding of Irish neutrality and of the dynamics of public support for Irish neutrality

Irish neutrality and the Lisbon Treaty

One of the main themes of the conference focused on the definition of neutrality. The convenors of the conference frequently raised the question, “what do we mean when we talk of ‘neutrality’?” This paper explains the differences between the public concept of neutrality and government concepts of ‘military neutrality’ and evaluates whether the Lisbon Treaty, including the June 2009 ‘clarification’ declarations, contravene or protect neutrality

Multiscale, multimodal analysis of tumor heterogeneity in IDH1 mutant vs wild-type diffuse gliomas.

Glioma is recognized to be a highly heterogeneous CNS malignancy, whose diverse cellular composition and cellular interactions have not been well characterized. To gain new clinical- and biological-insights into the genetically-bifurcated IDH1 mutant (mt) vs wildtype (wt) forms of glioma, we integrated data from protein, genomic and MR imaging from 20 treatment-naïve glioma cases and 16 recurrent GBM cases. Multiplexed immunofluorescence (MxIF) was used to generate single cell data for 43 protein markers representing all cancer hallmarks, Genomic sequencing (exome and RNA (normal and tumor) and magnetic resonance imaging (MRI) quantitative features (protocols were T1-post, FLAIR and ADC) from whole tumor, peritumoral edema and enhancing core vs equivalent normal region were also collected from patients. Based on MxIF analysis, 85,767 cells (glioma cases) and 56,304 cells (GBM cases) were used to generate cell-level data for 24 biomarkers. K-means clustering was used to generate 7 distinct groups of cells with divergent biomarker profiles and deconvolution was used to assign RNA data into three classes. Spatial and molecular heterogeneity metrics were generated for the cell data. All features were compared between IDH mt and IDHwt patients and were finally combined to provide a holistic/integrated comparison. Protein expression by hallmark was generally lower in the IDHmt vs wt patients. Molecular and spatial heterogeneity scores for angiogenesis and cell invasion also differed between IDHmt and wt gliomas irrespective of prior treatment and tumor grade; these differences also persisted in the MR imaging features of peritumoral edema and contrast enhancement volumes. A coherent picture of enhanced angiogenesis in IDHwt tumors was derived from multiple platforms (genomic, proteomic and imaging) and scales from individual proteins to cell clusters and heterogeneity, as well as bulk tumor RNA and imaging features. Longer overall survival for IDH1mt glioma patients may reflect mutation-driven alterations in cellular, molecular, and spatial heterogeneity which manifest in discernable radiological manifestations

Metagenomic next-generation sequencing aids the diagnosis of viral infections in febrile returning travellers

Objectives Travel-associated infections are challenging to diagnose because of the broad spectrum of potential aetiologies. As a proof-of-principle study, we used MNGS to identify viral pathogens in clinical samples from returning travellers in a single center to explore its suitability as a diagnostic tool. Methods Plasma samples from 40 returning travellers presenting with a fever of ≥38°C were sequenced using MNGS on the Illumina MiSeq platform and compared with standard-of-care diagnostic assays. Results In total, 11/40 patients were diagnosed with a viral infection. Standard of care diagnostics revealed 5 viral infections using plasma samples; dengue virus 1 (n = 2), hepatitis E (n = 1), Ebola virus (n = 1) and hepatitis A (n = 1), all of which were detected by MNGS. Three additional patients with Chikungunya virus (n = 2) and mumps virus were diagnosed by MNGS only. Respiratory infections detected by nasal/throat swabs only were not detected by MNGS of plasma. One patient had infection with malaria and mumps virus during the same admission. Conclusions MNGS analysis of plasma samples improves the sensitivity of diagnosis of viral infections and has potential as an all-in-one diagnostic test. It can be used to identify infections that have not been considered by the treating physician, co-infections and new or emerging pathogens. Summary Next generation sequencing (NGS) has potential as an all-in-one diagnostic test. In this study we used NGS to diagnose returning travellers with acute febrile illness in the UK, highlighting cases where the diagnosis was missed using standard methods

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment