CorTexT platform

@article{Ubando2020b,
title = {A state-of-the-art review of biowaste biorefinery},
author = {Aristotle T. Ubando and Aaron Jules R. Del Rosario and Wei-Hsin Chen and Alvin B. Culaba},
url = {https://www-sciencedirect-com.inshs.bib.cnrs.fr/science/article/pii/S026974912036838X},
doi = {https://doi.org/10.1016/j.envpol.2020.116149},
year = {2020},
date = {2020-11-20},
journal = {Environmental Pollution},
abstract = {Biorefineries provide a platform for different industries to produce multiple bio-products enhancing the economic value of the system. The production of these biorefineries has led to an increase in the gen- eration of biowaste. To minimize the risk of environmental pollution, numerous studies have focused on a variety of strategies to mitigate these concerns reflected in the vast amount of literature written on this topic. This paper aims to systematically analyze and review the enormous body of scientific literature in the biowaste and biorefinery field for establishing an understanding and providing a direction for future works. A bibliometric analysis is first performed using the CorTexT Manager platform on a corpus of 1488 articles written on the topic of biowaste. Popular and emerging topics are determined using a terms extraction algorithm. A contingency matrix is then created to study the correlation of scientific journals and key topics from this field. Then, the connection and evolution of these terms were analyzed using network mapping, to determine relationships among key terms and analyze notable trends in this research field. Finally, a critical review of articles was presented across three main categories of biowaste management such as mitigation, sustainable utilization, and cleaner disposal from the perspective of the biorefinery concept. Operational and technological challenges are identified for the integration of anaerobic digestion in biorefineries, especially in developing nations. Moreover, logistical challenges in the biorefinery supply-chain are established based on the economics and collection aspect of handling biowaste.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Bai2020,
title = {Visualizing research trends and research theme evolution in E‐learning field: 1999–2018},
author = {Yang Bai and Hongxiu Li and Yong Liu},
url = {https://link.springer.com/article/10.1007/s11192-020-03760-7},
doi = {https://doi.org/10.1007/s11192-020-03760-7},
year = {2020},
date = {2020-11-19},
journal = {Scientometrics},
abstract = {This paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999–2008 and 2009–2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Gaulda2020,
title = {Analyse en réseau par fouille de données textuelles systématique du concept de psychiatrie personnalisée et de précision},
author = {C. Gaulda and J.-A. Micoulaud-Franchi},
url = {http://www.sciencedirect.com/science/article/pii/S0013700620302360},
doi = { https://doi.org/10.1016/j.encep.2020.08.008},
issn = {0013-7006},
year = {2020},
date = {2020-11-12},
journal = {L'Encéphale},
abstract = {Objectifs. – La médecine personnalisée et de précision nécessite une clarification des concepts qui y sont rattachés. À notre connaissance, il n’existe pas d’exploration systématique de la littérature portant sur les dimensions et les concepts de la psychiatrie personnalisée et de précision et sur leurs usages dans les domaines neuroscientifiques et génétiques. Cet article propose donc d’explorer les dimensions et les concepts de la psychiatrie personnalisée et de précision.
Méthodes. – Une analyse en réseau par fouille de données textuelles systématique issue d’une revue exhaustive de la littérature internationale autour des termes de “precision psychiatry” et de “personalized psychiatry” a été réalisée. Cette fouille de données textuelles a été représentée sous forme d’un réseau permettant d’analyser les dimensions et les concepts de la psychiatrie personnalisée et de précision. Résultats. – La psychiatrie personnalisée et de précision renvoie à six dimensions retrouvées au sein de l’analyse du réseau textuel. Ces six dimensions correspondent aux domaines scientifiques qui étu- dient la psychiatrie personnalisée et de précision, à savoir : la génétique, la pharmacogénétique, les approches computationnelles, le raffinement des essais thérapeutiques, les biomarqueurs et la stadifica- tion. L’analyse des termes renvoie à un ensemble de concepts hétérogènes.
Conclusions. – L’hétérogénéité retrouvée dans la littérature sur la psychiatrie personnalisée et de précision peut témoigner d’un manque d’un cadre théorique pluraliste et intégratif. Ce cadre de travail pourrait être basé sur un formalisme naturalisant mais non réducteur, conscient des enjeux sociétaux des sciences et de leur implémentation dans les dispositifs de recherche et cliniques de la psychiatrie.
Objectives
The current challenges of psychiatric nosology and semiology are part of an interdisciplinary and integrative framework. The paradigm of the personalized and precision psychiatry proposes to study this discipline according to new approaches and methodologies. Personalized and precision psychiatry therefore requires clarification of its concepts. To our knowledge, there is no systematic exploration of the literature on the application of the concepts of personalized and precision medicine in the field of psychiatry. This article proposes thus to explore the framework of personalized and precision medicine applied to psychiatry.
Methods
We explored the framework of personalized and precision medicine applied to psychiatry by a textual network analysis. Firstly, we performed a systematic text-mining (Natural Language Processing) from an exhaustive review of the international literature with the terms “precision psychiatry” and “personalized psychiatry”. Secondly, this analysis of textual data allowed us to build a textual network which made it possible to visualize the most proximal terms (the most frequently associated in the literature). Finally, we extracted from the network the main dimensions explored in the scientific literature, and we studied the relative importance of each term by analyzing the network centrality. In addition, a brief bibliometric analysis was conducted.
Results
We show that personalized and precision psychiatry refers to six dimensions found in the textual network analysis which correspond to the scientific fields which study personalized and precision psychiatry: genetics, pharmacogenetics, artificial intelligence, therapeutic trials, biomarkers and staging. We explore how each dimension relates to the mechanization of psychiatric disorders. However, precision and personalized psychiatry, which tries to refine the levels of mechanistic explanations for psychiatry, suffers from a conceptual heterogeneity. Indeed, textual analysis also allows us to find terms referring to a set of heterogeneous concepts. Many methodological fields and epistemological concepts are invoked in this literature, without standardization.
Conclusions
The paradox of personalized and precision psychiatry is to associate a strong conceptual heterogeneity with a well-defined mechanistic component. Heterogeneity found in literature on personalized and precision psychiatry testifies to the lack of a pluralist and integrative theoretical framework. This framework could be based on a naturalizing but non-reducing formalism, aware of the societal challenges of the sciences and their implementation in the research and clinical systems of psychiatry.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Stefanija2020,
title = {Practical AI Transparency: Revealing Datafication and Algorithmic Identities},
author = {Ana Pop Stefanija and Jo Pierson},
url = {https://www.jdsr.io/articles/2020/11/8/practical-ai-transparency-revealing-datafication-and-algorithmic-identities},
doi = {10.33621/jdsr.v2i3.32},
year = {2020},
date = {2020-11-09},
volume = {2},
number = {3},
abstract = {How does one do research on algorithms and their outputs when confronted with the inherent algorithmic opacity and black box-ness as well as with the limitations of API-based research and the data access gaps imposed by platforms’ gate-keeping practices? This article outlines the methodological steps we undertook to manoeuvre around the above-mentioned obstacles. It is a “byproduct” of our investigation into datafication and the way how algorithmic identities are being produced for personalisation, ad delivery and recommendation. Following Paßmann and Boersma’s (2017) suggestion for pursuing “practical transparency” and focusing on particular actors, we experiment with different avenues of research. We develop and employ an approach of letting the platforms speak and making the platforms speak. In doing so, we also use non-traditional research tools, such as transparency and regulatory tools, and repurpose them as objects of/for study. Empirically testing the applicability of this integrated approach, we elaborate on the possibilities it offers for the study of algorithmic systems, while being aware and cognizant of its limitations and shortcomings.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}