Dublin City University

About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Context (language use) & Machine translation. The organization has 5904 authors who have published 17178 publications receiving 389376 citations. The organization is also known as: National Institute for Higher Education, Dublin & DCU.

Capture of circulating tumor cells from whole blood of prostate cancer patients using geometrically enhanced differential immunocapture (GEDI) and a prostate-specific antibody.

Abstract: Geometrically enhanced differential immunocapture (GEDI) and an antibody for prostate-specific membrane antigen (PSMA) are used for high-efficiency and high-purity capture of prostate circulating tumor cells from peripheral whole blood samples of castrate-resistant prostate cancer patients.

Alphas, Betas, and Incels: Theorizing the Masculinities of the Manosphere

Abstract: Since the emergence of Web 2.0 and social media, a particularly toxic brand of antifeminism has become evident across a range of online networks and platforms. Despite multiple internal conflicts and contradictions, these diverse assemblages are generally united in their adherence to Red Pill “philosophy,” which purports to liberate men from a life of feminist delusion. This loose confederacy of interest groups, broadly known as the manosphere, has become the dominant arena for the communication of men’s rights in Western culture. This article identifies the key categories and features of the manosphere and subsequently seeks to theorize the masculinities that characterize this discursive space. The analysis reveals that, while there are some continuities with older variants of antifeminism, many of these new toxic assemblages appear to complicate the orthodox alignment of power and dominance with hegemonic masculinity by operationalizing tropes of victimhood, “beta masculinity,” and involuntary celibacy ...

On Using Twitter to Monitor Political Sentiment and Predict Election Results

Abstract: The body of content available on Twitter undoubtedly contains a diverse range of political insight and commentary. But, to what extent is this representative of an electorate? Can we model political sentiment effectively enough to capture the voting intentions of a nation during an election capaign? We use the recent Irish General Election as a case study for investigating the potential to model political sentiment through mining of social media. Our approach combines sentiment analysis using supervised learning and volume-based measures. We evaluate against the conventional election polls and the final election result. We find that social analytics using both volume-based measures and sentiment analysis are predictive and wemake a number of observations related to the task of monitoring public sentiment during an election campaign, including examining a variety of sample sizes, time periods as well as methods for qualitatively exploring the underlying content.

GaAs interfacial self-cleaning by atomic layer deposition

Abstract: The reduction and removal of surface oxides from GaAs substrates by atomic layer deposition (ALD) of Al2O3 and HfO2 are studied using in situ monochromatic x-ray photoelectron spectroscopy. Using the combination of in situ deposition and analysis techniques, the interfacial “self-cleaning” is shown to be oxidation state dependent as well as metal organic precursor dependent. Thermodynamics, charge balance, and oxygen coordination drive the removal of certain species of surface oxides while allowing others to remain. These factors suggest proper selection of surface treatments and ALD precursors can result in selective interfacial bonding arrangements.