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Network Enabled Capabilities and Competitive Technology Clusters in Ireland
(CISC, 2010-06)The Network approach is a useful heuristic tool that enables us to focus on the network structure, inter-linkages between actors and help determining how the networks change over time. The present study used the network ... -
Networks and networking in ecotourism promotion: Evidence from Ireland's Greenbox ecotourism destination
(2013-12-21)This thesis presents the results of a study of the Greenbox, an ecotourism destination, situated in a geographically and economically marginal rural area on the northwest border between Ireland and Northern Ireland. The ... -
A networks-science investigation into the epic poems of Ossian
(WorldScientific Open Access, 2016-10-21)In 1760 James Macpherson published the first volume of a series of epic poems which he claimed to have translated into English from ancient Scottish-Gaelic sources. The poems, which purported to have been composed by a ... -
Neural machine translation of literary texts from English to Slovene
(Machine Translation Summit 2019, 2019-08-19)Neural Machine Translation has shown promising performance in literary texts. Since literary machine translation has not yet been researched for the English-toSlovene translation direction, this paper aims to fulfill ... -
Neural Network Approach to Predicting Stock Exchange Movements using External Factors
(2005)The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements in the Dow Jones Industrial Average index. The performance ... -
The neural network basis of cognitive impairment in bipolar disorder
(NUI Galway, 2020-01-22)Background: Despite well-documented cognitive deficits that contribute to poorer quality of life in bipolar disorder (BD) and evidence of altered topology and connectivity within neural networks, little work has been done ... -
Neural transfer learning for natural language processing
(NUI Galway, 2019-06-07)The current generation of neural network-based natural language processing models excels at learning from large amounts of labelled data. Given these capabilities, natural language processing is increasingly applied to new ... -
Neuroanatomical dysconnectivity in bipolar disorder
(2016-10-13)Bipolar Disorder (BD) is a major psychotic illness characterized by cyclic mood dysregulation. The dysconnectivity hypothesis suggests that psychotic illnesses arise not from regionally specific focal pathophysiology, but ... -
Neuroanatomical dysconnectivity underlying cognitive deficits in bipolar disorder
(Elsevier, 2019-09-18)BACKGROUND: Graph theory applied to brain networks is an emerging approach to understanding the brain's topological associations with human cognitive ability. Despite well-documented cognitive impairments in bipolar disorder ... -
Neurobiological trait abnormalities in bipolar disorder
(Springer Nature, 2009-05-19)Dissecting trait neurobiological abnormalities in bipolar disorder ( BD) from those characterizing episodes of mood disturbance will help elucidate the aetiopathogenesis of the illness. This selective review highlights the ... -
Neurocognitive effects of risk factors for psychosis: Neuropsychological and neuroimaging studies of immune-related genetic and environmental factors
(NUI Galway, 2020-04-16)Schizophrenia (SZ) is a debilitating psychiatric disorder that afflicts approximately 1% of people worldwide. It is often characterized by hallucinations, sometimes by emotional blunting, and in a majority of cases by a ... -
Neurocognitive effects of risk variants for psychosis: neuropsychological and neuroimaging studies of variants and pathways
(2017-07-19)Schizophrenia is a complex, highly polygenic brain disorder. Cognitive deficits in schizophrenia are among the most disabling symptoms, and as of yet, have no effective treatment. Investigating the effect of genetic variants ... -
Neuroendocrine response to clonidine and 8-oh-dpat in rats following chronic administration of desipramine or sertraline
(Wiley-Blackwell, 1992-04-01)1 Rats were administered either desipramine (DMI) or sertraline daily at doses 7.5 mg kg-1 or 10 mg kg-1, i.p., respectively and the effects on the functional state of hypothalamic neuroendocrine control mechanisms assessed ... -
Neurofilament light as an immune target for pathogenic antibodies
(Wiley-Blackwell, 2017-08-11)Antibodies to neuronal antigens are associated with many neurological diseases including paraneoplastic neurological disorders, epilepsy, amyotrophic lateral sclerosis and multiple sclerosis. Immunization with neuronal ... -
Neuroinflammatory mechanisms linking pain and depression
(Karger, 2015)Depression and chronic pain have been estimated to co-occur in up to 80% of patients suffering from these disorders, with this co-morbidity being more disabling and more expensive to both patients and society than either ... -
Neuronal cell death in neurodegenerative diseases: recurring themes around protein handling
(Wiley, 2008-06-27)Neuronal cell death plays a role in many chronic neurodegenerative diseases with the loss of particular subsets of neurons. The loss of the neurons occurs during a period of many years, which can make the mode(s) of cell ... -
Neuronal cell death in neurodegenerative diseases: recurring themes around protein handling
(Wiley-Blackwell, 2008-07-10)Neuronal cell death plays a role in many chronic neurodegenerative diseases with the loss of particular subsets of neurons. The loss of the neurons occurs during a period of many years, which can make the mode(s) of cell ... -
Neuronal glycosylation differentials in normal, injured and chondroitinase-treated environments
(2012)Glycosylation is found ubiquitously throughout the central nervous system (CNS). Chondroitin sulphate proteoglycans (CSPGs) are a group of molecules heavily substituted with glycosaminoglycans (GAGs) and are found in the ... -
Neurosymbolic visual reasoning with scene graph enrichment
(NUI Galway, 2024-02-26)Visual reasoning is a critical component of artificial intelligence that aims to understand, interpret, and reason about complex visual content. It has an interdisciplinary nature incorporating visual feature extraction ...