Now showing items 1-20 of 28

    • Advancements and challenges in multidomain multicargo delivery vehicles 

      Pugliese, Eugenia; Coentro, João Q.; Zeugolis, Dimitrios I. (Wiley, 2018-02-15)
      Reparative and regenerative processes are well‐orchestrated temporal and spatial events that are governed by multiple cells, molecules, signaling pathways, and interactions thereof. Yet again, currently available ...
    • Analysis of a poly(ε-decalactone)/silver nanowire composite as an electrically conducting neural interface biomaterial 

      Krukiewicz, Katarzyna; Fernandez, Jorge; Skorupa, Małgorzata; Więcławska, Daria; Poudel, Anup; Sarasua, Jose-Ramon; Quinlan, Leo R.; Biggs, Manus J. P. (BMC (part of Springer Nature), 2019-04-15)
      Advancement in polymer technologies, facilitated predominantly through chemical engineering approaches or through the identification and utilization of novel renewable resources, has been a steady focus of biomaterials ...
    • Anti-donor antibody induction following intramuscular injections of allogeneic mesenchymal stromal cells 

      Alagesan, Senthilkumar; Sanz‐Nogués, Clara; Chen, Xizhe; Creane, Michael; Ritter, Thomas; Ceredig, Rhodri; O'Brien, Timothy; Griffin, Matthew D. (Wiley, 2018-02-15)
      Allogeneic mesenchymal stromal cells (allo-MSC) are a promising "off-the-shelf" therapy with anti-inflammatory and pro-repair properties. This study investigated humoral immune responses to intramuscular (IM) injections ...
    • Assessing FAIR data principles against the 5-Star open data principles 

      Hasnain, Ali; Rebholz-Schuhmann, Dietrich (Springer Verlag, 2018-08-02)
      Access to biomedical data is increasingly important to enable data driven science in the research community. The Linked Open Data (LOD) principles (by Tim Berner-Lee) have been suggested to judge the quality of data by its ...
    • BEARS: Towards an evaluation framework for bandit-based interactive recommender systems 

      Barraza-Urbina, Andrea; Koutrika, Georgia; d'Aquin, Mathieu,; Hayes, Conor (NUI Galway, 2018-10-06)
      Recommender Systems (RS) deployed in fast-paced dynamic scenarios must quickly learn to adapt in response to user evaluative feedback. In these settings, the RS faces an online learning problem where each decision should ...
    • The chemistry and topography of stabilized and functionalized graphene oxide coatings 

      Awaja, Firas; Tripathi, Manoj; Wong, Tsz‐Ting; O'Brien, Timothy; Speranza, Giorgio (Wiley, 2018-08-01)
      Graphene oxide (GO) thin films and coatings are regarded as superior in quality to other materials especially for biomedical applications. However, the lack of stability and understanding of their structure and defects ...
    • Chirality-sorted carbon nanotube films as high capacity electrode materials 

      Krukiewicz, Katarzyna; Krzywiecki, Maciej; Biggs, Manus J. P.; Janas, Dawid (Royal Society of Chemistry, 2018-08-30)
      Carbon nanomaterials show great promise for a wide range of applications due to their excellent physicochemical and electrical properties. Since their discovery, the state-of-the-art has expanded the scope of their application ...
    • CoFiF: A corpus of financial reports in French language 

      Ahmadi, Sina; Daudert, Tobias (NUI Galway, 2019-08-12)
      In an era when machine learning and artificial intelligence have huge momentum, the data demand to train and test models is steadily growing. We introduce CoFiF, the first corpus comprising company reports in the French ...
    • Deep convolution neural network model to predict relapse in breast cancer 

      Jha, Alokkumar; Verma, Ghanshyam; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (IEEE, 2018-12-17)
      A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ...
    • Discovering protein drug targets using knowledge graph embeddings 

      Mohamed, Sameh K .; Nováček, Vít; Nounu, Aayah (Oxford University Press, 2019-08-01)
      Motivation Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ...
    • Electrodeposited poly(3,4-ethylenedioxypyrrole) films as neural interfaces: Cytocompatibility and electrochemical studies 

      Krukiewicz, Katarzyna; Kowalik, Agnieszka; Czerwinska-Glowka, Dominika; Biggs, Manus J. P. (Elsevier, 2019-02-06)
      Conducting polymers have been extensively reported as promising coating materials for applications involving interactions with electrically excitable tissues. Specifically, metal electrodes functionalized with conducting ...
    • The ELEXIS interface for interoperable lexical resources 

      McCrae, John P.; Tiberius, Carole; Khan, Anas Fahad; Kernerman, Ilan; Declerck, Thierry; Krek, Simon; Monachini, Monica; Ahmadi, Sina (eLex 2019, 2019-10-01)
      ELEXIS is a project that aims to create a European network of lexical resources, and one of the key challenges for this is the development of an interoperable interface for different lexical resources so that further ...
    • Evaluation of drug loading capacity and release characteristics of PEDOT/naproxen system: Effect of doping ions 

      Krukiewicz, Katarzyna; Kruk, Aleksandra; Turczyn, Roman (Elsevier, 2018-09-08)
      Conducting polymers are versatile and robust materials that have recently become attractive as controlled drug delivery systems. Possessing ion exchangeable properties, they can serve as carriers for numerous biologically ...
    • Extending largeRDFBench for multi-source data at scale for SPARQL endpoint federation 

      Hasnain, Ali; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Rebholz-Schuhmann, Dietrich (IOS Press, 2018)
      Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full ...
    • Fractal form PEDOT/Au assemblies as thin-film neural interface materials 

      Krukiewicz, Katarzyna; Chudy, Magdalena; Vallejo-Giraldo, Catalina; Skorupa, Małgorzata; Więcławska, Daria; Turczyn, Roman; Biggs, Manus (IOP Publishing, 2018-06-04)
      Electrically conducting polymer formulations have emerged as promising approaches for the development of interfaces and scaffolds in neural engineering, facilitating the development of physicochemically modified constructs ...
    • Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation 

      Arcan, Mihael; Torregrosa, Daniel; Ahmadi, Sina; McCrae, John P. (National University of Ireland, Galway, 2019-05-20)
      In the widely-connected digital world, multilingual lexical resources are one of the most important resources, for natural language processing applications, including information retrieval, question answering or knowledge ...
    • Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models 

      Torregrosa, Daniel; Pasricha, Nivranshu; Chakravarth, Bharathi Raja; Masoud, Maraim; Alonso, Juan; Casas, Noe; Arcan, Mihael (NUI Galway, 2019-08-19)
      Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total ...
    • Linked data cased multi-omics integration and visualization for cancer decision networks 

      Jha, Alokkumar; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Springer Verlag, 2018-12-30)
      Visualization of Gene Expression (GE) is a challenging task since the number of genes and their associations are difficult to predict in various set of biological studies. GE could be used to understand tissue-gene-protein ...
    • Multilingual multimodal machine translation for Dravidian languages utilizing phonetic transcription 

      Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Stearns, Bernardo; Jayapal, Arun; Sridevy, S.; Arcan, Mihael; Zarrouk, Manel; McCrae, John P. (European Association for Machine Translation, 2019-08-19)
      Multimodal machine translation is the task of translating from a source text into the target language using information from other modalities. Existing multimodal datasets have been restricted to only highly resourced ...
    • Neural machine translation of literary texts from English to Slovene 

      Kuzman, Taja; Vintar, Špela; Arčan, Mihael (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 ...