6297 research outputs found
Sort by
A Named Entity Recognition System Applied to Arabic Text in the Medical Domain
No full textCurrently, 30-35% of the global population uses the Internet. Furthermore, there is a rapidly increasing number of non-English language internet users, accompanied by an also increasing amount of unstructured text online. One area replete with underexploited online text is the Arabic medical domain, and one method that can be used to extract valuable data from Arabic medical texts is Named Entity Recognition (NER). NER is the process by which a system can automatically detect and categorise Named Entities (NE). NER has numerous applications in many domains, and medical texts are no exception. NER applied to the medical domain could assist in detection of patterns in medical records, allowing doctors to make better diagnoses and treatment decisions, enabling medical staff to quickly assess a patient's records and ensuring that patients are informed about their data, as just a few examples. However, all these applications would require a very high level of accuracy. To improve the accuracy of NER in this domain, new approaches need to be developed that are tailored to the types of named entities to be extracted and categorised. In an effort to solve this problem, this research applied Bayesian Belief Networks (BBN) to the process. BBN, a probabilistic model for prediction of random variables and their dependencies, can be used to detect and predict entities. The aim of this research is to apply BBN to the NER task to extract relevant medical entities such as disease names, symptoms, treatment methods, and diagnosis methods from modern Arabic texts in the medical domain. To achieve this aim, a new corpus related to the medical domain has been built and annotated. Our BBN approach achieved a 96.60% precision, 90.79% recall, and 93.60% F-measure for the disease entity, while for the treatment method entity, it achieved 69.33%, 70.99%, and 70.15% for precision, recall, and F-measure, respectively. For the diagnosis method and symptom categories, our system achieved 84.91% and 71.34%, respectively, for precision, 53.36% and 49.34%, respectively, for recall, and 65.53% and 58.33%, for F-measure, respectively. Our BBN strategy achieved good accuracy for NEs in the categories of disease and treatment method. However, the average word length of the other two NE categories observed, diagnosis method and symptom, may have had a negative effect on their accuracy. Overall, the application of BBN to Arabic medical NER is successful, but more development is needed to improve accuracy to a standard at which the results can be applied to real medical systems
Finding Lacan : St Paul and the Paradox of Jouissance
No full textOver the last few decades there has been a renewed interest in St Paul by continental philosophers, many of them from Lacanian traditions. This has arisen independent of the revolutionary developments in Pauline theology over the same period. This thesis bridges the gap between them, as a Lacanian study of Paul that is faithfully Lacanian and faithfully Pauline. Lacan’s thesis that the unconscious is structured like a language, and some of the accompanying structures he discovered, are found in Paul’s theology.
Finding Lacan in Paul poses new solutions to many of the dilemmas facing both Lacanian readings of Paul and Pauline scholarship itself. A more faithfully Lacanian (and less Hegelian) version of Slavoj Žižek’s Paul loses none of his political usefulness, without requiring atheism. The Pauline ‘event’ as Alain Badiou describes it is described again through Lacan, in a way that fits better with Pauline scholarship, allowing equal importance to both the death and resurrection of Christ. Refusing to sacrifice an authentically Lacanian understanding of ‘alienation’ forces a more nuanced reading of Paul than some other similar attempts; but it also reframes what some Paul scholars mean when they claim that in Christ the believer undergoes an ontological transformation.
Inserting a Lacanian Paul into the modern philosophical discourse reveals a Paul who can be politically meaningful beyond his relation to ‘Empire.’ Interwoven in this is a reading of Paul opposed to Stoicism, revealed by qualifying Stoic ethics as obsessional neurotic in structure. This reading of Paul against Stoicism helps to demonstrate Paul’s relation to the ‘master signifiers’ of his time, which also helps to clarify what happened in Pauline Christian ‘conversions,’ and provides another way to theorise about what Paul might mean for today. This thesis demonstrates that Lacan’s concepts are helpful to Pauline scholarship, and that they are not irreconcilable with the historical critical method, in the hope that many more Lacanian Pauls might emerge in the future
Chapter 4 Reflecting on work-based learning
No full textA critical look at work based practice in the Early Years sector for students including those on Teacher Status award
‘Everyone assumes a man to be quite strong’: Men, masculinity and rheumatoid arthritis: A case-study approach
Get PDFCurrent literature has overlooked the impact of chronic illness on masculine identity. We therefore aimed to investigate the impact of rheumatoid arthritis (a long term condition, affecting more women than men) on masculine identity. Six focus groups with 22 men with rheumatoid arthritis (RA) (data reported elsewhere) followed by five one‐to‐one interviews with men (English, mean age: 59 years) sampled to reflect a heterogeneous experience of life with RA based on knowledge gained from the focus groups. Transcripts were analysed using thematic analysis and are presented as individual case studies. Whilst the case studies provide five distinct experiences, common themes can be drawn across them, such as the importance of paid work. The men needed to renegotiate their masculine identity to deal with their RA. Two dealt with this by pushing through pain to retain masculine activities, two replaced masculine roles they could no longer do with other roles, and one rejected masculinity completely. Men with long term conditions may need to re‐write their masculinity scripts to enable them to accept and adapt to their condition. However, some men struggle with this, which should be taken into consideration when designing self‐management services for men with long term conditions
The Rise of the Right: English Nationalism and the Transformation of Working-Class Politics.
No full textThe shock Brexit result highlighted a worrying trend: underemployed white men and women who have seen their standard of living fall, their communities disintegrate and their sense of value, function and inclusion diminish, desperately want a mainstream political party to defend their interests. However, no such party exists. These men and women cannot connect their declining fortunes and growing frustrations to their true cause. Instead, immigrants are scapegoated and groups like the English Defence League (EDL) emerge. This book is the first to offer an accessible and uncompromising look at the EDL. It aims to alter thinking about working-class politics and the rise of right-wing nationalism in the de-industrialised and decaying towns and cities of England. The rise of the right among the working class, the authors claim, is inextricably connected to the withdrawal of the political left from traditional working-class communities, and the left's refusal to advance the economic interests of those who have suffered most from neoliberal economic restructuring. Incisive, contentious and boundary-breaking, it uses the voices of men and women who now support far-right political groups to address the total failure of mainstream parliamentary politics and the rising tide of frustration, resentment and anger
An Adaptive Framework for Improving the Effectiveness of Virtual Enterprises in the Supply Chain
No full textThis thesis describes a research project that develops an adaptive framework for improving the effectiveness of virtual enterprises in the supply chains in Mongolia. The research takes empirical and quantitative approach to study the phenomenon of virtual enterprises. Based on a literature review, the factors that influence organisations to join in virtual enterprises are studied by a higher-order factor analysis. As a result, agility is identified as one of the main benefits organisations can gain by joining a virtual enterprise temporarily and changes in business performance are conceived as the measures of effectiveness. Next, a taxonomy of enterprises is developed with five distinguishing clusters that achieve differing levels of agility and business performance. This study suggests that enterprises that are monitoring changes in their business environment take most advantage of agility and achieve the best levels of performance.
These findings then allow an adaptive framework based on common reference architectures to be developed as a main contribution of this study. The framework includes a breeding environment as a ‘pool’ of prepared enterprises with the ability to form temporary collaborations to react responsively, rapidly and effectively to the fast-changing opportunities. A structural equation model was used to examine the model fit with the supporting hypotheses, based on the observed data. Then, a powerful clustered expectation maximisation algorithm was applied to the analysis of the grouped enterprises.
Finally, a simulation-based case study was conducted to validate the developed framework. The results provide rich empirical evidence of the beneficial impact of virtual enterprises on agile supply chains. The research provides rich empirical evidence of the beneficial impact of virtual enterprises on agile supply chains. It also provides theoretical and managerial insights that can be used to strengthen the drivers, enablers and capabilities that enhance the effectiveness of virtual enterprises collaboration in agile supply chains that can be translated to a global context. These are major contributions the ‘body of knowledge’ in themselves, but the research also adds usefully to the study of applied research methodologies in the area
Stock Market Random Forest-Text Mining (SMRF-TM) Approach to Analyse Critical Indicators of Stock Market Movements
Get PDFThe Stock Market is a significant sector of a country’s economy and has a crucial
role in the growth of commerce and industry. Hence, discovering efficient ways to analyse and visualise stock market data is considered a significant issue in modern finance. The use of data mining techniques to predict stock market movements has been extensively studied using historical market prices but such approaches are constrained to make assessments within the scope of existing information, and thus they are not able to model any random behaviour of the stock market or identify the causes behind events. One area of limited success in stock market prediction comes from textual data, which is a rich source of information. Analysing textual data related to the Stock Market may provide better understanding of random behaviours of the market.
Text Mining combined with the Random Forest algorithm offers a novel approach to the study of critical indicators, which contribute to the prediction of stock market abnormal movements. In this thesis, a Stock Market Random Forest-Text Mining system (SMRF-TM) is developed and is used to mine the critical indicators related to the 2009 Dubai stock market debt standstill. Random forest and expectation maximisation are applied to classify the extracted features into a set of meaningful and semantic classes, thus extending current approaches from three to eight classes: critical down, down, neutral, up, critical up, economic, social and political.
The study demonstrates that Random Forest has outperformed other classifiers and has achieved the best accuracy in classifying the bigram features extracted from the corpus
Complex formation and turnover of mitochondrial transporters and ion channels
Get PDFMitochondria are responsible for many vital cellular functions in eukaryotic cells, such as ATP production, steroid synthesis and prosthetic group biogenesis. The vital functions of mitochondria are possible due to the compartmental nature of this organelle. Mitochondria form a dynamic network that can exist as a network throughout a cell or as distinct individual structures. Mitochondria are also composed of two membranes, an inner and outer membrane. The inner mitochondrial membrane (IMM) is significantly larger than the outer membrane and must fold upon itself to be contained within the outer mitochondrial membrane (OMM). These folds are known as cristae. Altogether these different membrane compartments specialize in different functions of the mitochondria. The OMM is responsible for passage of small metabolites into and out of the mitochondria while excluding macromolecules. The IMM is a highly selective barrier between the solutes of the cytosol and those within themitochondrial matrix. Cristae specialize in oxidative phosphorylation. The functions of these membranes are afforded by membrane proteins that are able to transport specific solutes. The appropriate localization, assemblyinto multi-subunit protein complexes, and wild-type function of these membrane proteins therefore is vital for mitochondria to maintain appropriate function and support cellular survival. This review will address the composition and functions of mitochondrial membrane localized multi-subunit protein complexes along with how these proteins undergo degradation to maintain homeostatic functions of mitochondria in the context of mitochondria specific transporters and ion channels. Due to the large number of known mitochondrial membrane transporters and ion channels this review will focus on the topics presented at the Mitochondrial Ion Channels and Transporters Symposium hosted by the New York University College of Dentistry in September 2015 in honor of Casey Kinnally
Data sources:
Access Repository Dashboard
Do you manage STORE - Staffordshire Online Repository? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!