CorTexT platform

@article{Lundvall2022,

title = {China's catching-up in artificial intelligence seen as a co-evolution of corporate and national innovation systems},

author = {Bengt-Åke Lundvall and Cecilia Rikap},

url = {https://www.sciencedirect.com/science/article/pii/S0048733321001918},

doi = {https://doi.org/10.1016/j.respol.2021.104395},

issn = {0048-7333},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Research Policy},

volume = {51},

number = {1},

pages = {104395},

abstract = {Inspired by Christopher Freeman's work on how radical technical change opens up for shifts in world leadership and on the role of innovation systems in this process, this paper explores China's emergence as a lead country in artificial intelligence as reflecting a co-evolution of Corporate and National Innovation Systems. Taking Freeman's (1987) work on Japan as our lead, we focus on the domestic interaction within and on the openness of China's national innovation system. To follow up on his prediction of the increasing importance of big companies as network leaders, we introduce the concept “corporate innovation system” with special attention to two Chinese tech giants: Alibaba and Tencent.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Jaramillo2021,

title = {Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks},

author = {Andres F. Moreno Jaramillo and David M. Laverty and D. John Morrow and Jesús Martinez del Rincon and Aoife M. Foley},

url = {https://www.sciencedirect.com/science/article/pii/S0960148121010612},

doi = {https://doi.org/10.1016/j.renene.2021.07.056},

issn = {0960-1481},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {Renewable Energy},

volume = {179},

pages = {445-466},

abstract = {In many countries distributed energy resources (DER) (e.g. photovoltaics, batteries, wind turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic appliances) are part of the ‘Green Deal’ to deliver a climate neutral society. Policy roadmaps, despite providing a framework and penetration targets for DER, often lack the network planning strategies needed to transition from passive to active distribution networks. Currently, DER's dynamic performance parameters and location identification techniques are not fully standardised. In fact, it can be very ad hoc. Standardised distributed load modelling and non-intrusive load monitoring (NILM) for equipment manufacturers, installers and network operators is critical to low and medium voltage network management in order to facilitate better balancing, flexibility and electricity trading across and within the power system for mass DER deployment. The aim of this paper is to fill this load modelling and NILM knowledge gap for DERto inform the ‘Green Deal’ transition and support standardisation. In the paper, existing load modelling techniques and NILM methodologies are critically examined to inform and guide research activity, equipment development and regulator thinking, as well as network operators. Seven key findings that need urgent attention are identified to support a smooth power system reconfiguration.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Penteado2021,

title = {Mapeando a dinâmica da informática médica: uma análise bibliométrica do campo científico},

author = {Bruno Elias Penteado and Marcelo Fornazin and Leonardo Castro and Sandro Luis Freire},

url = {https://www.arca.fiocruz.br/bitstream/icict/50040/2/2395-10786-1-PB.pdf},

doi = {10.29397/reciis.v15i4.2395},

issn = {1981-6278},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {Revista Eletrônica de Comunicação},

abstract = {A saúde digital é um assunto emergente em fóruns acadêmicos, nas políticas públicas e nas organizações de saúde. Supondo que a saúde digital deriva de conhecimentos da informática médica, este artigo apresenta resultados de uma pesquisa bibliométrica sobre a evolução conceitual e tecnológica do campo da informática médica nas últimas décadas, enfatizando aspectos metodológicos. O trabalho realizou bibliometria em metadados de 100 mil artigos indexados sob a categoria 'medical informatics' na base de dados Web of Science entre os anos de 1960 e 2020. Foram realizadas análises longitudinais com utilização dos softwares Bibliometrix e CorText em três eixos: quantidade de publicações, países dos autores e palavras-chave. Conforme a hipótese metodológica que orientou o estudo, as mudanças terminológicas verificadas ao longo do tempo oferecem uma visão aproximativa das mudanças conceituais e tecnológicas do campo de pesquisa da informática médica. Os resultados mostram que esse campo de investigação apresentou crescimento consistente ao longo das últimas seis décadas, expandindo-se para diferentes países. As mudanças terminológicas e conceituais detectadas pela análise de palavras-chave permitiram a identificação de períodos temporais definidos, associados a rótulos genéricos como 'health informatics', 'e-health'. O rótulo 'medical informatics' é recorrente como termo mais geral a designar o campo de aplicação, em razão de sua adoção por associações científicas internacionais a partir da década de 1970. Nos últimos cincos anos, pode-se identificar a emergência do termo 'digital health', que possivelmente será o conceito dominante na década que se inicia. A análise de palavras-chave também indica a associação entre mudanças terminológicas e de tecnologias, o que reforça as relações entre conceitos e aplicações tecnológicas de cada período.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Abdo2021,

title = {Domain-topic models with chained dimensions: Charting an emergent domain of a major oncology conference},

author = {Alexandre Hannud Abdo and Jean-Philippe Cointet and Pascale Bourret and Alberto Cambrosio},

url = {https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24606},

doi = {https://doi.org/10.1002/asi.24606},

year  = {2021},

date = {2021-11-24},

urldate = {2021-11-24},

journal = {Canadian Institutes of Health Research},

abstract = {This paper presents a contribution to the study of bibliographic corpora through science mapping. From a graph representation of documents and their textual dimension, stochastic block models can provide a simultaneous clustering of documents and words that we call a domain-topic model. Previous work investigated the resulting topics, or word clusters, while ours focuses on the study of the document clusters we call domains. To enable the description and interactive navigation of domains, we introduce measures and interfaces that consider the structure of the model to relate both types of clusters. We then present a procedure that extends the block model to cluster metadata attributes of documents, which we call a domain-chained model, noting that our measures and interfaces transpose to metadata clusters. We provide an example application to a corpus relevant to current science, technology and society (STS) research and an interesting case for our approach: the abstracts presented between 1995 and 2017 at the American Society of Clinical Oncology Annual Meeting, the major oncology research conference. Through a sequence of domain-topic and domain-chained models, we identify and describe a group of domains that have notably grown through the last decades and which we relate to the establishment of “oncopolicy” as a major concern in oncology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}