CorText Manager around the world

@article{Mason2023d,

title = {Sustainable soil and land management: a systems-oriented overview of scientific literature},

author = {Eloïse Mason and Antonio Bispo and Mireille Matt and Katharina Helming and Elena Rodriguez and Rocio Lansac and Violeta Carrasco and Mohammad Rafiul Hashar and Loes Verdonk and Gundula Prokop and David Wall and Nancy Francis and Peter Laszlo and Michael T. Löbmann},

url = {https://www.frontiersin.org/articles/10.3389/fsoil.2023.1268037/full

},

doi = {10.3389/fsoil.2023.1268037},

year  = {2023},

date = {2023-12-18},

journal = {Frontiers in Soil Science},

abstract = {Healthy soil is vital for our wellbeing and wealth. However, increasing demand for food and biomass may lead to unsustainable soil and land management practices that threaten soils. Other degradation processes such as soil sealing also endanger soil resources. Identifying and accessing the best available knowledge is crucial to address related sustainability issues and promote the needed transition towards sustainable soil and land management practices. Such knowledge has to cover all knowledge domains, system knowledge, target knowledge, and transformation knowledge. However, a comprehensive overview of existing research addressing societal needs related to soil is still missing, which hinders the identification of knowledge gaps. This study provides a detailed analysis of scientific literature to identify ongoing research activities and trends. A quantitative and qualitative analysis of scientific literature related to sustainable soil and land management was conducted. A systems-oriented analytical framework was used that combines soil and land related societal challenges with related knowledge domains. Our analysis revealed a significant increase in scientific publications and related interest in soil and land use-related research, above the average increase of publications within all scientific fields. Different forms of reduction and remediation of soil degradation processes (e.g. erosion, contamination) have been studied most extensively. Other topic areas like land take mitigation, soil biodiversity increase, increase of ecosystem services provision and climate change mitigation and adaption seem to be rather recent concerns, less investigated. We could highlight the importance of context-specific research, as different regions require different practices. For instance, boreal, tropical, karst and peatland regions were less studied. Furthermore, we found that diversifying soil management practices such as agroforestry or including livestock into arable systems are valuable options for increasing biomass, mitigating/adapting to climate change, and improving soil related ecosystem services. A recent trend towards the latter research topic indicates the transition from a soil conservation-oriented perspective to a soil service-oriented perspective, which may be better suited to integrate the social and economic dimensions of soil health improvement alongside the ecological dimension.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dauphiné-Morer2023b,

title = {Investigating intention in non-human animals. Part I. States of art and non-art},

author = {Anne-Lise Dauphiné-Morer and Franck Zenasni and Alain Boissy and Muriel Mambrini-Doudet},

url = {https://www.researchgate.net/publication/376430400_Investigating_intention_in_non-human_animals_Part_I_States_of_art_and_non-art

},

doi = {10.21203/rs.3.rs-2941491/v2},

year  = {2023},

date = {2023-12-11},

abstract = {Is the analytical framework used by ethologists sufficient to study the mental states of non-human animals (NHAs) at the appropriate level of complexity? To address this question our strategy was to i) reveal the experimental and analytic habits of scientists of different disciplines in the literature, and ii) use "intention" as a vector in an interdisciplinary prospect of the study of NHAs mental states. Our own intention was to outline the specific orientations and possible impasses of the ethological analytical framework which limits the consideration of NHAs intentions. We conducted a bibliometric analysis of the scientific literature published between 2016 and 2020 in two steps: 1. through a first corpus, we identified the terms used in studies of NHAs intentions and 2. on this basis, 111 articles related to intentions in NHAs were selected. By analysing them using a co-occurrences network of the authors’ keywords, ten scientific approaches to intention in NHAs were identified. Our main findings are that i) the term « intention » is very seldom used in studies of NHAs; ii) approaches developed in humans are rarely transposed in these studies; and iii) in such few studies, it is not the NHAs intentions which are under question, but the link between NHAs and human intentions. This study highlights the limitations of the current theoretical framework used to study non-human animals’ cognition, which does not allow for the full spectrum of non-human cognitive specificities.},

note = {Research Square - preprint platform},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Andro2023,

title = {Veille collaborative : la plateforme WordPress},

author = {Mathieu Andro and Mickaël Réault},

url = {https://www.cairn.info/revue-i2d-information-donnees-et-documents-2023-2-page-120.htm },

doi = {/10.3917/i2d.232.0120 },

issn = {2428-2111},

year  = {2023},

date = {2023-12-08},

journal = {I2D - Information, données & documents},

volume = {2023},

issue = {2},

pages = {120-136},

abstract = {Dans les organisations, les veilles sont encore souvent diffusées en silos informationnels, via des newsletters adressées par courriels. À la faveur du confinement sanitaire et afin d’initier une veille plus partagée, ouverte et collaborative, une plateforme de diffusion automatisée des veilles, depuis divers outils de surveillance tels que InoReader, KB Crawl et Sindup, a été expérimentée de manière agile avec le logiciel libre WordPress.

Accessible sur smartphone, cette plateforme propose des fonctionnalités collaboratives, sémantiques, de recherche et de capitalisation des contenus, et des statistiques détaillées de consultation. Après avoir été expérimentée par une trentaine de veilleurs dans 17 entités différentes, elle a été hébergée, consolidée, mise en forme et sécurisée avec l’aide de l’éditeur de technologies de veille Sindup.

Ce modèle de plateforme construit avec WordPress est entièrement reproductible pour un très faible coût. Il pourrait permettre aux veilleurs de rendre plus efficiente la diffusion de leurs veilles et aux éditeurs de plateformes de proposer des offres moins onéreuses, plus centrées sur leur cœur de métier qui reste la mise en surveillance des sources. Il pourrait aussi permettre aux éditeurs de s’adresser à un marché plus large de PME, de TPE et d’associations.

Faisant suite à un précédent article à vocation concrète et professionnelle, le présent article résulte d’une analyse plus conceptuelle de cette expérimentation originale.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Demortain2023,

title = {Mistrust of the black box: the public auditing of private models in the chemicals regulatory space},

author = {David Demortain},

url = {https://doi.org/10.1080/09505431.2023.2286278},

doi = {10.1080/09505431.2023.2286278},

year  = {2023},

date = {2023-12-06},

journal = {Science as Culture},

abstract = {Metrics foster trust in governing bodies, but their uncertainty can elicit an opposite sentiment of mistrust. In chemicals governance, most of the conversations concerning computational models revolve around their uncertainty, and the extent to which simulations of safe doses can be transposed in regulatory decisions. To understand the source of this mistrust in models, research in science and technology studies on policy modeling, particularly research that looks at models as an interface between science and policy, must be extended to consider the private production of predictions. Looking at the full set of actors involved in predictive regulatory knowledge – companies, regulatory agencies, modelers working with one or the other – and their concurrent articulations of uncertainty, it appears that regulators audit physiologically based pharmacokinetic models (PBPK, a key class of models used to compute safe chemical doses), because the chemical industry initially introduced them to challenge its methods of risk assessment. Regulators and their modelers established model auditing, to be able to negotiate the predictive claims of companies and their consultants. At the end of the day, neither companies nor regulators appear to dominate the production of predictive knowledge. It is the product of the shifting distribution of expertise in the regulatory space, and of the outcomes of the recurrent trials of credibility that this distribution enables.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Orduña-Malea2023,

title = {Research assessment under debate: disentangling the interest around the DORA declaration on Twitter},

author = {Enrique Orduña-Malea and Núria Bautista-Puig},

url = {https://link.springer.com/article/10.1007/s11192-023-04872-6#article-info

},

doi = {https://doi.org/10.1007/s11192-023-04872-6},

year  = {2023},

date = {2023-11-17},

journal = {Scientometrics},

abstract = {Much debate has been around the misapplication of metrics in research assessment. As a result of this concern, the Declaration on Research Assessment (DORA) was launched, an initiative that caused opposing viewpoints. However, the discussion topics about DORA have not been formally identified, especially in participatory environments outside the scholarly communication process, such as social networks. This paper contributes to that end by analyzing 20,717 DORA-related tweets published from 2015 to 2022. The results show an increasing volume of tweets, mainly promotional and informative, but with limited participation of users, either commenting or engaging with the tweets, generating a scarcely polarized conversation driven primarily by a few DORA promoters. While a varied list of discussion topics is found (especially "Open science and research assessment," "Academics career assessment & innovation," and "Journal Impact Factor"), the DORA debate appears as part of broader conversations (research evaluation, open science). Further studies are needed to check whether these results are restricted to Twitter or reveal more general patterns. The findings might interest the different evaluators and evaluated agents regarding their interests and concerns around the reforms in the research evaluation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Rizvi2023,

title = {Investigating Al-Powered Tutoring Systems that Adapt to Individual Student Needs, Providing Personalized Guidance and Assessments},

author = {Mohammed Rizvi},

url = {https://www.researchgate.net/profile/Suraj-Patel-48/publication/385701461_Investigating_AI-Powered_Tutoring_Systems/links/6731874f77b63d1220e9bde7/Investigating-AI-Powered-Tutoring-Systems.pdf},

doi = {/10.55549/epess.1381518},

year  = {2023},

date = {2023-10-31},

journal = {The Eurasia Proceedings of Educational and Social Sciences},

volume = {31},

pages = {67-73},

abstract = {This comprehensive literature review seeks to assess the potential of Al-powered tutoring systems that are able to adapt and provide personalized guidance tailored to individual student needs. As Artificial Intelligence (AI) technologies continue to progress at a rapid rate, there is ever increasing interest in leveraging these capabilities for educational purposes. By offering customized instruction based on each student's strengths, weaknesses, and learning style preferences, Al-powered tutoring systems may revolutionize how students learn.

The review will examine various studies and research papers exploring the design, implementation techniques as well as effectiveness of such innovative solutions. This includes delving into algorithms like machine learning, natural language processing or data mining which enable these systems to adjust their interactions according to students' requirements. Moreover, it will investigate any positive impacts such personalized teaching has had on academic performance levels in addition to engagement motivation amongst learners. Additionally, this study shall look into existing challenges faced when using Al-powered tutoring systems; from ethical concerns about privacy issues thought too effective teacher -student communication. After taking all findings from available literature into account we can then identify areas where more work is needed, offer suggestions for future improvements or studies within this field. In conclusion, with our synthesis of insights gathered during our investigation we hope improve awareness & understandings around utilizing Al technology for educational purposes so that teachers & students alike can benefit from personalized adaptive educations experiences.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Miara2023,

title = {Animal traction in developed countries: The reappropriation of a past practice through agroecological transition},

author = {M. Miara and P. Boudes and T. Rabier and M. Gafsi},

url = {https://www.sciencedirect.com/science/article/pii/S0743016723001900},

doi = {/10.1016/j.jrurstud.2023.103124},

issn = {0743-0167},

year  = {2023},

date = {2023-09-15},

urldate = {2023-09-15},

journal = {Journal of Rural Studies},

volume = {103},

pages = {103124},

abstract = {As part of the current agroecological transition, animal traction in agriculture is benefiting from an increased focus in developed countries. However, the practice is struggling to gain recognition from research, institutions and the agricultural profession. This article aims to analyze how animal traction is treated in developed countries, and to assess the extent to which it could be considered an agroecological practice. We analyze animal traction as a scientific object and a socio-professional movement. Our methodology is based on a review of scientific literature and an analysis of the French general press. The various studies show that animal traction has advantages in terms of energy, economics and agronomy. It tends to be developed by alternative movements and farmers motivated by a desire to redesign our food systems. Both scientific and press reviews show a renewed positive interest in animal traction. Although these reviews highlight its agroecological potential, the practice is facing difficulties in gaining recognition. The findings of this article are of obvious interest to rural development researchers and policy makers. They help the former to explore new issues in the return of animal traction, and the latter to better understand the development factors of this practice.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Bibliometric analysis and systematic review of electrochemical methods for environmental remediation},

author = {Wenbin Huang and Shibin Liu and Tao Zhang and Hao Wu and Shengyan Pu},

url = {https://www.sciencedirect.com/science/article/pii/S1001074223003522},

doi = {/10.1016/j.jes.2023.08.003},

issn = {1001-0742},

year  = {2023},

date = {2023-08-14},

journal = {Journal of Environmental Sciences},

abstract = {Electrochemical methods are increasingly favored for remediating polluted environments due to their environmental compatibility and reagent-saving features. However, a comprehensive understanding of recent progress, mechanisms, and trends in these methods is currently lacking. Web of Science (WoS) databases were utilized for searching the primary data to understand the knowledge structure and research trends of publications on electrochemical methods and to unveil certain hotspots and future trends of electrochemical methods research. The original data were sampled from 9080 publications in those databases with the search deadline of June 1st, 2022. CiteSpace and VOSviewer software facilitated data visualization and analysis of document quantities, source journals, institutions, authors, and keywords. We discussed principles, influencing factors, and progress related to seven major electrochemical methods. Notably, publications on this subject have experienced significant growth since 2007. The most frequently-investigated areas in electrochemical methods included novel materials development, heavy metal remediation, organic pollutant degradation, and removal mechanism identification. “Advanced oxidation process” and “Nanocomposite” are currently trending topics. The major remediation mechanisms are adsorption, oxidation, and reduction. The efficiency of electrochemical systems is influenced by material properties, system configuration, electron transfer efficiency, and power density. Electro-Fenton exhibits significant advantages in achieving synergistic effects of anodic oxidation and electro-adsorption among the seven techniques. Future research should prioritize the improvement of electron transfer efficiency, the optimization of electrode materials, the exploration of emerging technology coupling, and the reduction in system operation and maintenance costs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Monaci2023,

title = {Smart working during the Covid19 pandemic in Italy: Twitter narratives in female-centered communities},

author = {Sara Monaci and Tatiana Mazali and Simone Persico},

url = {https://rosa.uniroma1.it/rosa03/mediascapes/article/view/18290

https://rosa.uniroma1.it/rosa03/mediascapes/article/view/18290/17516},

issn = {2282-2542},

year  = {2023},

date = {2023-07-18},

urldate = {2023-07-18},

journal = {Mediascapes Journal},

volume = {21},

issue = {1},

pages = {323–343},

abstract = {While the recent pandemic has accelerated the spread of smart working dynamics in Italy, social media increased their importance as platforms to vehiculate information and points of view and shape public opinion. In the face of extended confinement and a looming health crisis, society has had to fundamentally rethink its daily work practices, social relations, family relationship management, and work-life balance. As a result, the radical and abrupt migration to networked platforms has been a disruptive and unprecedented phenomenon. We aimed to investigate the Twitter debate on smart working during the pandemic by focusing mainly on social concerns and thematics related to work-life balance by addressing the following research questions:

- RQ1: How was the topic of smart working debated on Twitter during the Covid19 pandemic (2020-2021) in Italy, and which narratives and issues fuelled the debate the most?

- RQ2: How the public debate has received the Italian government's work-life balance measures?

- RQ3: Which topics were most discussed by women on smart working?

We used Digital Methods to cope with re-proposing data to depict collective phenomena, social transformations, and cultural expressions by analyzing natively digital data on social media platforms. We gathered more than 750.000 tweets between 28 February 2020 and 30 November 2021, and we mapped narratives and communities by using social network analysis. This allowed for the selection of the more intriguing ones to define various sub-datasets on which to conduct a topic modeling study, which aided in understanding more nuanced aspects of the highly fragmented topic. By studying the italian debate, we identified specific communities which debated government measures to help families during the pandemic and discussed digitalization and smart working as a new paradigm for work. We found DAD (Didactic at Distance, aka homeschooling) as a transversal topic that highly affected how people experienced smart working.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Baquee2023,

title = {A Bibliometric Review of Academic Social Networking Sites (ASNSs) in Scholarly Communication: A Scientific Mapping based on Scopus Database},

author = {Abdul Baquee and md Safiqur Rahaman and Dr R Sevukan},

url = {https://ijism.ricest.ac.ir/article_705746.html

https://ijism.ricest.ac.ir/article_705746_2d3e7fd6d10836b464f665afc3d5c37a.pdf},

doi = {/10.22034/ijism.2023.1977938.0},

issn = {2008-8302},

year  = {2023},

date = {2023-07-01},

urldate = {2023-07-01},

journal = {International Journal of Information Science and Management (IJISM)},

volume = {21},

number = {3},

pages = {286-309},

publisher = {Regional Information Center for Science and Technology},

abstract = {This study aimed to investigate the current state of published literature on Academic Social Networking Sites (ASNSs) in scholarly communication using bibliometric techniques. Social Networking Sites have revolutionized social interaction and scholarly communication by making it easier for researchers to collaborate and share their work. Researchers used selected keywords to gather data from Scopus.

Fourteen years from 2007 to 2020 were considered for the analysis of research publications. Additionally, this research employed a Biblioshiny to provide a graphical representation of bibliometric indicators. the VOSviewer, CorTex, and Citespace software packages were employed to evaluate the keyword analysis and explore the research theme of social networking sites in research communication. A total of 751 publications were retrieved from 381 journals. In terms of publication, positive growth was seen. In scholarly communication, the United States is the most productive country in SNSs research. Regarding institutional affiliation, Wuhan University in China is the most prolific. In addition, it outlined the "5 Ps" for implementing ASNSs. Hopefully, the information provided by this bibliometric analysis of scholarly communication on social networking sites will be helpful to scholars in the future and contribute to the growth of knowledge in this area.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hackenburg2023,

title = {Mapping moral language on US presidential primary campaigns reveals rhetorical networks of political division and unity},

author = {Kobi Hackenburg and William J Brady and Manos Tsakiris},

url = {https://academic.oup.com/pnasnexus/article/2/6/pgad189/7192494},

doi = {10.1093/pnasnexus/pgad189},

year  = {2023},

date = {2023-06-09},

journal = {PNAS Nexus},

volume = {2},

issue = {6},

abstract = {During political campaigns, candidates use rhetoric to advance competing visions and assessments of their country. Research reveals that the moral language used in this rhetoric can significantly influence citizens’ political attitudes and behaviors; however, the moral language actually used in the rhetoric of elites during political campaigns remains understudied. Using a data set of every tweet (⁠⁠) published by 39 US presidential candidates during the 2016 and 2020 primary elections, we extracted moral language and constructed network models illustrating how candidates’ rhetoric is semantically connected. These network models yielded two key discoveries. First, we find that party affiliation clusters can be reconstructed solely based on the moral words used in candidates’ rhetoric. Within each party, popular moral values are expressed in highly similar ways, with Democrats emphasizing careful and just treatment of individuals and Republicans emphasizing in-group loyalty and respect for social hierarchies. Second, we illustrate the ways in which outsider candidates like Donald Trump can separate themselves during primaries by using moral rhetoric that differs from their parties’ common language. Our findings demonstrate the functional use of strategic moral rhetoric in a campaign context and show that unique methods of text network analysis are broadly applicable to the study of campaigns and social movements.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Raimbault2023,

title = {Faire avec l’industrie - Repenser la crédibilité scientifique par la preuve de concept},

author = {Benjamin Raimbault},

url = {https://journals.openedition.org/rac/30114},

doi = {10.4000/rac.30114},

year  = {2023},

date = {2023-06-01},

urldate = {2023-06-01},

journal = {Revue d’anthropologie des connaissances},

abstract = {Issue des sciences de l’ingénierie, la notion de preuve de concept est définie comme étant une « preuve (généralement issue d’une expérience ou d’un projet pilote) démontrant qu’un concept, une idée, etc., est réalisable » (Oxford English Dictionary, 2014). La philosophe C.E. Kendig affirme qu’au-delà d’une simple réalisation technique, une preuve de concept désigne plus largement « un type particulier de recherche qui vise à poser une question dont la réponse à une applicabilité qui dépasse les frontières des domaines dans lesquels elle a été testée » (Kendig 2016 ; traduit par nos soins).

Dans cet article, nous proposons de réinvestir la notion de crédibilité scientifique pour analyser l’essor des preuves de concept et la place qu’elles occupent dans les sciences de l’ingénierie. Notre parti pris est de prendre au sérieux le terme de « preuve » en faisant l’hypothèse que la preuve de concept constitue un vecteur de crédibilité scientifique central dans les sciences de l’ingénierie en tant qu’elle permet l’alignement, dans une réalisation technique, entre des normes épistémiques et des potentialités économiques. Ce faisant, nous poursuivons un double objectif. D’une part, il s’agit de décrire comment les ingénieur·e·s établissent leur crédibilité en tenant compte de la spécificité des sciences de l’ingénierie, à savoir leur proximité avec le monde industriel et leur orientation vers la production de réalisations techniques. D’autre part, nous souhaitons contribuer au renouveau du débat sur la crédibilité scientifique – un thème central en sociologie des sciences et en STS, si ce n’est « d’une certaine manière, le seul thème » (Shapin, 1995, pp. 257-258) – en nous concentrant sur la manière dont les interactions entre académie et industrie conditionnent la fabrique de la crédibilité scientifique.

Cet article est organisé en cinq parties. La première est consacrée à la présentation de l’essor de la preuve de concept dans les sciences de l’ingénierie au regard d’une discussion théorique sur la crédibilité scientifique à l’ère de l’économie de la connaissance. En actualisant le modèle proposé par Latour et Woolgar du « cycle de crédibilité » (Latour & Woolgar, 1979), nous soutenons que la spécificité des sciences de l’ingénierie et l’essor des nouvelles configurations entre académie et industrie invitent à repenser la manière dont la crédibilité scientifique est analysée. Cela nous amène dans une seconde partie à préciser notre objet d’étude – l’ingénierie métabolique – et à présenter notre approche méthodologique, qui associe analyse de corpus scientifiques, entretiens, observations directes en laboratoire et étude d’archives d’un centre de recherche. Les parties qui suivent constituent le cœur de la démonstration. La troisième montre notamment comment les chercheur·se·s articulent normes épistémiques et enjeux industriels dans les agendas de recherche et dans les publications scientifiques. La quatrième partie se penche sur les trajectoires et motivations des ingénieur·e·s du métabolisme, ainsi que sur les stratégies qu’iels mettent en place afin de gagner en crédibilité. Nous montrons l’importance pour eux/elles d’occuper des positions intermédiaires entre académie et industrie et de mettre en place un dispositif expérimental hybride, entre laboratoire académique et centre de Recherche et Développement (R&D) industriel, dans la quête de crédibilité. Enfin, la dernière partie interroge les conditions institutionnelles d’établissement de la crédibilité de l’ingénierie métabolique et de ses productions, et montre l’importance du MIT dans la structuration de l’ingénierie métabolique en tant que discipline. Nous concluons sur la place spécifique qu’occupent les preuves de concept comme vecteurs de crédibilité dans les sciences de l’ingénierie et sur leur potentielle généralisation à d’autres domaines scientifiques.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lerner2023,

title = {A construção do gênero no discurso conservador: uma análise de comentários em rede social},

author = {Lerner, Celina},

url = {https://periodicos.ufms.br/index.php/persdia/article/download/16895/12673

},

issn = {2358-1840},

year  = {2023},

date = {2023-06-01},

urldate = {2023-06-01},

journal = {Perspectivas em Diálogo: Revista de Educação e Sociedade},

volume = {10},

issue = {23},

pages = {145-160},

abstract = {In this article, I investigate the construction of gender roles in Brazilian conservative discourse on social media on the internet. I analyze more than one hundred thousand comments made to the Facebook page of the right-wing activist Olavo de Carvalho between 2014 and 2018. Using computational linguistics methods, I create a network of words that reveals the main contexts present in collective discourse. I seek to understand the uses of the terms woman and man. First, I map the discourse topics and locate the context in which the terms woman and man occur. Then, I deepen the analysis going back to the original utterance. The detailed reading revealed the persistence of ideas of universality and centrality of man in the conservative discourse. As Simone de Beauvoir pointed out in 1949, man represents both the positive and the neutral; an absolute human type. Woman, in turn, is constructed in the discourse as the other, the different. The negative feeling that often accompanies the term woman reveals the aversion to the different and the misogyny underlying the conservative mentality.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dauphiné-Morer2023,

title = {What do we really know about intention in animals? A bibliometric analysis},

author = {Anne-Lise Dauphiné-Morer and Franck Zenasni and Alain Boissy and Muriel Mambrini-Doudet},

url = {https://www.researchsquare.com/article/rs-2941491/v1

https://assets.researchsquare.com/files/rs-2941491/v1/5139a17e-b78b-49b4-b666-7674509f6ade.pdf?c=1684346463},

doi = {/10.21203/rs.3.rs-2941491/v1},

year  = {2023},

date = {2023-05-17},

urldate = {2023-05-17},

abstract = {Is the analytical framework used by ethologists sucient to study the mental states of non-human animals (NHAs) at the appropriate level of complexity? To address this question our strategy was to i) reveal the experimental and analytic habits of scientists of different disciplines in the literature, and ii) use "intention" as a vector in an interdisciplinary prospect of the study of NHAs mental states. Our own intention was to outline the specic orientations and possible impasses of the ethological analytical framework which limits the consideration of NHAs intentions. We conducted a bibliometric analysis of the scientic literature published between 2016 and 2020 in two steps: 1. through a rst corpus, we identied the terms used in studies of NHAs intentions and 2. on this basis, 111 articles related to intentions in NHAs were selected. By analysing them using a co-occurrences network of the authors’ keywords, ten scientic approaches to intention in NHAs were identied. Our main ndings are that i) the term « intention » is very seldom used in studies of NHAs; ii) approaches developed in humans are rarely transposed in these studies; and iii) in such few studies, it is not the NHAs intentions which are under question, but the link between NHAs and human intentions. This study highlights the limitations of the current theoretical framework used to study non-human animals’ cognition, which does not allow for the full spectrum of non-human cognitive specicities.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Hoyos2023,

title = {Systematic Analysis of Genes Related to Selenium Bioaccumulation in Microalgae: A Review},

author = {Brenda S. Hoyos and Fabian Hernandez-Tenorio and Alejandra M. Miranda and Diego F. Villanueva-Mejía and Alex A. Sáez},

url = {https://www.mdpi.com/2079-7737/12/5/703},

doi = {/10.3390/biology12050703},

year  = {2023},

date = {2023-05-12},

journal = {MDPI Open Access Journals - Biology},

volume = {12},

issue = {5},

abstract = {Se is one of the essential nutrients for human health and animal growth; it participates in various physiological functions, such as antioxidant and immune response and metabolism. Se deficiency is related in the animal industry to poor production performance and the appearance of health problems in humans. Therefore, interest has arisen in producing fortified foods, nutritional supplements, and animal feed products enriched with Se. A sustainable strategy for bio-based products enriched with Se is microalgae. These are characterized by the ability to bioaccumulate inorganic Se and metabolize it into organic Se for product formulations of industrial interest. Although there are some reports on Se bioaccumulation, further exploration is needed to understand the effects of Se bioaccumulation in microalgae. Therefore, this article presents a systematic review of the genes or groups of genes that trigger biological responses associated with the metabolization of Se in microalgae. A total of 54,541 genes related to Se metabolization distributed in 160 different classes were found. Similarly, trends were identified through bibliometric networks on strains of greatest interest, bioproducts, and scientific production.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xiao2023,

title = {A Comprehensive Bibliometric Analysis of Big Data in Entrepreneurship Research},

author = {Anran Xiao and Yong Qin and Zeshui Xu and Marinko Skare},

url = {https://www.inzeko.ktu.lt/index.php/EE/article/view/30643},

doi = {https://doi.org/10.5755/j01.ee.34.2.30643 },

issn = {1392-2785},

year  = {2023},

date = {2023-04-28},

journal = {Engineering Economics},

volume = {34},

issue = {2},

pages = {175–192},

abstract = {Big data technology has been widely used in entrepreneurial research in recent years. To explore the development trend and fundamental characteristics of big data in entrepreneurship (BDIE) research, we conduct a comprehensive bibliometric analysis of BDIE based on 541 publications between 1993 and 2020 from Web of Science. On the one hand, this paper focuses on some essential characteristics of the BDIE publications, such as categories, citation, H-index, and the most cited publications. On the other hand, visual scientific maps are presented by bibliometric tools, i.e., Bibliometrix, VOS viewer, and CorTexT Manager, showing relationships between publications and knowledge structure in BDIE research. Finally, hot topics in current studies, knowledge, and limitations are discussed, guiding scholars to explore new research directions. This paper provides a relatively broad perspective for applying BDIE research, which contributes to understanding the evolution of BDIE research and inspires scholars in related fields.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zou2023,

title = {Operations research on the sharing economy: A bibliometric analysis and literature review},

author = {Liuxin Zou and Jiang Wu and Yeming Gong and Mingyang Chen and Mengchen Xia},

url = {https://www.sciencedirect.com/science/article/pii/S1567422323000303},

doi = {https://doi.org/10.1016/j.elerap.2023.101265},

issn = {1567-4223},

year  = {2023},

date = {2023-04-26},

journal = {Electronic Commerce Research and Applications},

pages = {101265},

abstract = {Previous studies on the sharing economy have not utilized bibliometrics to classify the main stakeholders from the perspective of operations research (OR). In this study, we utilize the bibliometric method to review the supply side, demand side, the platform, and their optimization models. Based on the bibliometric network, we propose a complete multi-level framework to study the optimization decisions of stakeholders and the key factors that may influence optimal decisions in the sharing economy. The pricing, behavioral characteristics, operating strategies, and incentive methods of the three stakeholders will affect the optimal decisions and models. Multi-party interaction significantly affects the decision-making behavior of stakeholders. The sharing economy introduces a new business model to traditional industrial applications, such as transportation and trade, and has both positive and negative effects on the economy, environment, and society. We identify future research in the ecosystem of the sharing economy, hybrid methods, and breakthrough technologies, such as blockchain, AI, and data-driven optimization.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lim2023,

title = {Environmental, Social, and Governance (ESG) and Artificial Intelligence in Finance: State-of-the-Art and Research Takeaways},

author = {Tristan Lim},

url = {https://europepmc.org/article/ppr/ppr651155

https://www.researchgate.net/profile/Tristan_Lim5/publication/370228369_Environmental_Social_and_Governance_ESG_and_Artificial_Intelligence_in_Finance_State-of-the-Art_and_Research_Takeaways/links/64474633017bc07902d798dc/Environmental-Social-and-Governance-ESG-and-Artificial-Intelligence-in-Finance-State-of-the-Art-and-Research-Takeaways.pdf},

doi = {10.21203/rs.3.rs-2849051/v1},

year  = {2023},

date = {2023-04-01},

urldate = {2023-04-01},

abstract = {The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics and associated Artificial Intelligence (AI) applications, presents challenges for both new researchers and seasoned practitioners. This study aims to systematically map the research area, identify knowledge gaps, and examine potential research areas for researchers and practitioners. The investigation centers around three research questions: key research themes for ESG and AI in finance, research intensity and interest evolution, and the use and progression of AI techniques within these themes. Eight archetypical research domains were identified: (i) Trading and Investment, (ii) ESG Disclosure, Measurement and Governance, (iii) Firm Governance, (iv) Financial Markets and Instruments, (v) Risk Management, (vi) Forecasting and Valuation, (vii) Data, and (viii) Responsible Use of AI. Distinctive AI techniques were found to be employed across these archetypes. The study contributes to consolidating knowledge on the intersection of ESG, AI, and finance, offering an ontological inquiry and key takeaways for practitioners and researchers. Important insights include the popularity and crowding of the Trading and Investment domain, the growth potential of the Data archetype, and the high potential of Responsible Use of AI, despite its low publication count. By understanding the nuances of different research archetypes, researchers and practitioners can better navigate this complex landscape and contribute to a more sustainable and responsible financial sector.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Skovgaard2023,

title = {Who tweets what about personalised medicine? Promises and concerns from Twitter discussions in Denmark},

author = {Lea Skovgaard and Anders Grundtvig},

url = {https://journals.sagepub.com/doi/pdf/10.1177/20552076231169832},

doi = {10.1177/20552076231169832},

year  = {2023},

date = {2023-03-29},

urldate = {2023-03-29},

journal = {Digital Health},

volume = {9},

pages = {1-12},

abstract = {Digital health data are seen as valuable resources for the development of better and more efficient treatments, for instance through personalised medicine. However, health data are information about individuals who hold opinions and can challenge how data about them are used. Therefore it is important to understand public discussions around reuse of digital health data. Social media have been heralded as enabling new forms of public engagement and as a place to study social issues. In this paper, we study a public debate on Twitter about personalised medicine. We explore who participates in discussions about personalised medicine on Twitter and what they tweet about. Based on user-generated biographies we categorise users as having a ‘Professional interest in personalised medicine’ or as ‘Private’ users. We describe how users within the field tweet about the promises of personalised medicine, while users unaffiliated with the field tweet about the concrete realisation of these ambitions in the form of a new infrastructure and express concerns about the conditions for the implementation. Our study serves to remind people interested in public opinion that Twitter is a platform used for multiple purposes by different actors and not simply a bottom-up democratic forum. This study contributes with insights relevant to policymakers wishing to expand infrastructures for reuse of health data. First, by providing insights into what is discussed about health data reuse. Second, by exploring how Twitter can be used as a platform to study public discussions about reuse

of health data.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Technology-enabled Learning in Digital Education: Research Areas and Prediction Trends of Learning Technologies for Authentic Assessments Practices},

author = {Tristan Lim and Swapna Gottipati and Michelle Cheong},

url = {https://www.researchsquare.com/article/rs-2696352/v1},

doi = {/10.21203/rs.3.rs-2696352/v1},

year  = {2023},

date = {2023-03-16},

school = {Singapore Management University},

abstract = {This study aims to provide practical insights on the research areas and prediction trends of learning technologies that support authentic assessment practices in the digital education setting. Technology-enabled learning can be utilized to enhance assessment design in meaningful ways that resembles the professional work environment. Innovative technology-enabled assessment practices necessitate an understanding of the technologies at-hand, hence a disciplined inquiry is called upon into the multitude of technologies that define the landscape.

The study looked to investigate the technology groups and research efforts within the field of learning technologies that were shaping digitally mediated authentic assessment practices.

Using Horizon Report (HR), an annual education-based technology forecasting publication, as a reference, the study looked to evaluate if HR is a good proxy to predict the evolution of learning technologies in the said scape. Research distinguished four key learning technology groups, namely ubiquitous learning technology, adaptive learning technology, immersive learning technology, and learning object. Network analyses performed on the four technology groups identified key generalizable research themes that can be utilized for research focus. The study also found that HR is a useful tool to predict technology trends, as corroborated from bibliometric analyses, and detailed the composition and evolution of these trends. This study can help educators and researchers identify and decide promising potential areas for future research and/or investment focus.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Lim2023c,

title = {Articial Intelligence in Today’s Education Landscape: Understanding and Managing Ethical Issues for Educational Assessment},

author = {Tristan Lim and Swapna Gottipati and Michelle Cheong},

url = {https://www.researchsquare.com/article/rs-2696273/v1},

doi = {/10.21203/rs.3.rs-2696273/v1},

year  = {2023},

date = {2023-03-16},

abstract = {In a societal institution as fundamental as education, when teaching practitioners or researchers apply artificial intelligence in academic processes such as assessments, it is important to study the divide between what may be ethically permissible and not permissible. This study applied a systematic literature mapping methodology to scour extant research, so as to holistically

structure the landscape into explicit topical research clusters. Through topic modelling and network analyses, research mapped ten key ethical principles to five research archetypical domains, and reviewed the contribution and intensity of these ethical principles in each thematic domain. The study extended this review, by mapping out ethics programs and activities that can be applied in practice, alongside their relevant underpinning theories. This study provides a comprehensive treatment of this subject matter to date. We hope the findings of this research can provide researchers and practitioners the insights into the application

methods of AI in assessments, and in particular, in terms of their intertwined ethical challenges and how these challenges may be addressed, for follow up studies.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{Tian2023,

title = {Global Trends and Prospects of Nepheloid Layers: A Comprehensive Bibliometric Review},

author = {Chen Tian and Fei Liu and Zhenghui Li and Hongxian Shan and Hanlu Liu and Yongzheng Quan and Zhenhua Zhou and Zhan Tan and Yonggang Jia},

url = {https://www.mdpi.com/2073-4441/15/6/1067},

doi = {/10.3390/w15061067},

year  = {2023},

date = {2023-03-10},

journal = {Water},

volume = {15},

issue = {6},

abstract = {Nepheloid layers are widely distributed in the marine environment, and their formation and evolution pose many challenges to the current understanding of ocean dynamics and marine sedimentology. In sediment transport processes, nepheloid layers significantly contribute to the exchange of sediment between the continental shelf and the slope. In this paper, we summarize the global research trends on nepheloid layers. In total, 689 publications from 1990 to 2022 were collected from the Web of Science and analyzed using bibliographic software, including Bibliometrix, VOSviewer, CiteSpace, and CorText. Based on these publications, past and present popular research on nepheloid layers is examined and evaluated. The trends in nepheloid layer research are summarized by analyzing keywords, article references, countries, institutions, and authors. Finally, prospects and several key questions related to nepheloid layers are concluded, which can potentially guide future studies. The bibliographic analysis can provide new insights into the history of nepheloid layers. The results also provide valuable information for other researchers and programs investigating geological, geophysical, and biogeochemical processes.},

note = {This article belongs to the Special Issue Sediment Dynamics in Coastal and Marine Environment},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010-2019},

author = {Ruinan Li and Raf Guns and Tim C. E. Engels and Lin Zhang and Ying Huang},

url = {https://link.springer.com/article/10.1007/s11192-023-04651-3

https://www.researchgate.net/profile/Ying-Huang-137/publication/368301245_Tracking_the_featured_topics_of_the_International_Science_of_Team_Science_conference_series_and_their_evolution_during_2010-2019/links/63e1299962d2a24f920a754a/Tracking-the-featured-topics-of-the-International-Science-of-Team-Science-conference-series-and-their-evolution-during-2010-2019.pdf},

doi = {/10.1007/s11192-023-04651-3},

year  = {2023},

date = {2023-02-11},

journal = {Scientometrics},

issue = {128},

pages = {2447–2469},

abstract = {In this paper, we study how research topics and trends have evolved in the field of the science of team science (SciTS). Over the past 12 years, the International Science of Team Science conference has been making efforts to understand and enhance the processes and outcomes of collaborative team science. We argue that the sessions and papers in academic conferences are the best way to reflect the latest research trends. Based on the panel sessions and submitted papers in conference programs during 2010-2019, this study tracks the featured topics and how they have evolved in the field. We extracted terms from the titles of the sessions and papers, and visualized the research hotspots, research topics, and how they have evolved for analysis. We found that the research hotspots are constantly changing, and the research topics present evolutionary characteristics, such as continuation, split, and fusion. Additionally, we examined the models and case studies of team science, the characteristics and dynamics of teams, the interdisciplinary research dynamics in team science, team science education and training, and how team science is measured and evaluated. These results summarize the major research trends and opportunities in the SciTS field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Versini2023,

title = {How the concept of nature-based solutions for climate adaptation could be introduced in Master's curricula. Insights from France},

author = {Pierre-Antoine Versini and Mario Al-Sayah and Frederique Bordignon and Daniel Schertzer},

url = {https://www.sciencedirect.com/science/article/pii/S095965262300522X},

doi = {/10.1016/j.jclepro.2023.136364},

issn = {0959-6526},

year  = {2023},

date = {2023-02-09},

urldate = {2023-02-09},

journal = {Journal of Cleaner Production},

volume = {395},

abstract = {While the importance of Nature-Based Solutions for climate change adaptation (NBaS) is being increasingly acknowledged, very few studies investigate the status of these solutions in higher education syllabi. In an effort to bridge this gap, this study assessed the position of the NBaS notion in French Master's programs. Based on a survey questionnaire, several interviews and a text mining analysis of the Master's contents, this paper identified, localised and analysed the French Masters that presented links with NBaS related concepts. This analysis revealed that the notion of NBaS is far from being mastered. This might be caused by a conceptual misunderstanding of definitions. While text mining revealed that the building blocks of the NBaS framework are present, much still needs to be done for connecting them together. A combined analysis of the findings derived from this study led to recommendations to better introduce NBaS in Masters programs in the future.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Duan2023,

title = {The research hotspots and trends of volatile organic compound emissions from anthropogenic and natural sources: A systematic quantitative review},

author = {Chensong Duan and Hu Liao and Kaide Wang and Yin Ren},

url = {https://www.sciencedirect.com/science/article/pii/S0013935122017133?via%3Dihub



},

doi = {https://doi.org/10.1016/j.envres.2022.114386},

year  = {2023},

date = {2023-02-01},

urldate = {2023-02-01},

journal = {Environmental Research},

volume = {216},

pages = {114964},

abstract = {Volatile organic compound (VOC) emissions have attracted wide attention due to their impacts on atmospheric quality and public health. However, most studies reviewed certain aspects of natural VOCs (NVOCs) or anthropogenic VOCs (AVOCs) rather than comprehensively quantifying the hotspots and evolution trends of AVOCs and NVOCs. We combined the bibliometric method with the evolution tree and Markov chain to identify research focus and uncover the trends in VOC emission sources. This study found that research mainly focused on VOC emission characteristics, effects on air quality and health, and VOC emissions under climate change. More studies concerned on AVOCs than on NVOCs, and AVOC emissions have shifted with a decreasing proportion of transport emissions and an increasing share of solvent utilization in countries with high emissions and publications (China and the USA). Research on AVOCs is imperative to develop efficient and economical abatement techniques specific to solvent sources or BTEX species to mitigate the detrimental effects. Research on NVOCs originating from human sources risen due to their application in medicine, while studies on sources sensitive to climate change grew slowly, including plants, biomass burning, microbes, soil and oceans. Research on the long-term responses of NVOCs derived from various sources to climate warming is warranted to explore the evolution of emissions and the feedback on global climate. It is worthwhile to establish an emission inventory with all kinds of sources, accurate estimation, high spatial and temporal resolution to capture the emission trends in the synergy of industrialization and climate change as well as to simulate the effects on air quality. We review VOC emissions from both anthropogenic and natural sources under climate change and their effects on atmospheric quality and health to point out the research directions for the comprehensive control of global VOCs and mitigation of O3 pollution.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Naqvi2023,

title = {Recent progress in catalytic deoxygenation of biomass pyrolysis oil using microporous zeolites for green fuels production},

author = {Salman Raza Naqvi and Asif Hussain Khoja and Imtiaz Ali and Muhammad Naqvi and Tayyaba Noor and Awais Ahmad and Rafael Luque and Nor Aishah Saidina Amin},

url = {https://www.sciencedirect.com/science/article/pii/S0016236122030927},

doi = {10.1016/j.fuel.2022.126268},

issn = {0016-2361},

year  = {2023},

date = {2023-02-01},

urldate = {2023-02-01},

journal = {Fuel},

volume = {333},

pages = {126268},

abstract = {Biomass pyrolysis is one of the cleaner ways to produce bioenergy focusing on bio-oil. The high oxygen content of oxygen in bio-oil limits its application in transportation applications. The deoxygenation of bio-oil using various catalyst systems is required to upgrade the bio-oil. Herein, we presented the scientometric analysis of microporous zeolites for deoxygenation of biomass-derived bio-oil. The state of the art review of biomass catalytic deoxygenation using zeolite-based materials is elucidated. A special focus on the role of catalyst physicochemical properties and degree of deoxygenation is Furthermore, the reaction pathways for different zeolites for bio-oil upgradation are presented. Finally, the technology readiness level is assessed and future recommendations are also presented.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Milia2023,

title = {The transformation of medical research in Mexico: A structural analysis of thematical domains, institutional affiliations, authors’ cohorts, and possible correlations},

author = {Matias Federico Milia and Claudia Gonzalez Brambila and Ángel Lee and José Ignacio and Ponce Sánchez},

url = {https://direct.mit.edu/qss/article/doi/10.1162/qss_a_00239/114518/The-transformation-of-medical-research-in-Mexico-A},

doi = {10.1162/qss_a_00239},

issn = {2641-3337},

year  = {2023},

date = {2023-01-13},

urldate = {2023-01-13},

journal = {Quantitative Science Studies},

pages = {1-26},

abstract = {Global research on medical and health-related issues experienced a profound reconfiguration over the last thirty years. The rise of new areas of inquiry has transformed the medical research landscape as staff with medical training gradually relinquished their prominence, and specialists from other disciplines raised their profile within research teams. Given this, research priorities seem to be shifting increasingly towards laboratory-based and innovation-oriented research lines. The unfolding of these shifts in non-hegemonic countries as Mexico is still to be understood. This paper surveys structural changes in Mexican medical research from 1993 to 2021 by observing temporal aggregation of authorships, emerging thematical features, and institutional affiliations patterns. It also explores correlations between these findings and their possible explanations. Results allow us to empirically describe significant changes in medical research done in Mexico. We detected periods of stability in authorships allowing us to describe stages in the accumulation of research and development (R&D) capabilities. The identified semantic patterns allowed us to characterize this transformation, observing subsequent stages of an accumulation and specialization process that began in the mid-1990s. Moreover, we found divergent thematical and institutional patterns that point towards a growing gap between research conducted in health institutions and scientific ones.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hossain2023,

title = {Global Research Trends in Sustainable Development Goals between 2000 and 2021},

author = {Saddam Hossain and M. Sadik Batcha},

url = {https://www.researchgate.net/profile/Saddam-Hossain-5/publication/369009269_Global_Research_Trends_in_Sustainable_Development_Goals_between_2000_and_2021/links/6403651a574950594563f92b/Global-Research-Trends-in-Sustainable-Development-Goals-between-2000-and-2021.pdf

https://tnsroindia.org.in/JOURNAL/issue76/ISSUE%2076%20FEBRUARY%202023%20-%20FULL%20TEXT%20PART%20%2002.pdf},

issn = {0976 – 0997},

year  = {2023},

date = {2023-01-06},

journal = {Indian Journal of Natural Sciences},

volume = {13},

issue = {76},

abstract = {This present study explored how research themes and trends have developed in the field of sustainable development goals (SDGs) research, aiming to provide a comprehensive understanding of SDGs literature based on prior literature. A scientometric analysis will help current and future researchers figure out where the gaps are and how to fill them. The current study applied a bibliometric method, to identify yearly output, country collaboration, prolific authors, and contingency matrix between the keywords and journals themes and trends in the SDGs research. Publications related to the application of bibliometrics from 2000 to 2021were harvested from the Web of Science bibliographic database. A number of 21441 academic articles were found, and all bibliographic data were analyzed by the Bibliometrix and Cortext Manager. The trend in the production of research was positive. This study offers a clear picture of the development of SDGs research as well as helpful recommendations for future SDGs research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Feng2023,

title = {Radical innovation detection in the solar energy domain based on patent analysis},

author = {Sida Feng and Fang Han},

url = {https://www.frontiersin.org/articles/10.3389/fenrg.2022.1056564/full},

doi = {/10.3389/fenrg.2022.1056564},

year  = {2023},

date = {2023-01-06},

urldate = {2023-01-06},

journal = {Frontiers in Energy Research},

volume = {10},

abstract = {Introduction: Detecting radical innovations in the solar energy domain could offer innovation references and support the promotion of solar energy. However, relevant studies in the solar energy domain are lacking, and the related methods need to be improved.



Methods: In this paper, a new framework to identify radical innovations in the solar energy domain is proposed by combining a technological convergence study and scientific relation analysis, and the link prediction method is utilized to detect potential radical innovations in this domain.



Results: 1) The distributions of both the technological classes and scientific categories are uneven in the solar energy domain. The top 15 technological classes account for nearly 75.46% of all classifications. Fifteen scientific categories are cited by all the patents, and applied physics, multidisciplinary material science, energy and fuels play important roles in this domain. 2) The relationships among technological classes have evolved over time and have mainly focused on neighbouring disciplines. 3) A total of 130 patents containing new convergence relationships and/or closely related to science are identified as radical innovations. Radical innovative topics are related to the subdomains of solar photovoltaic (solar PV), heat storage, heat exchangers, and solar collectors. 4) Five potential radical innovative topics are identified. Automatic plants for producing electric energy, solar energy ecology houses, and so on are considered to have great potential in the future.



Discussion: The results are consistent with the authoritative report and previous studies, which verify the viability of our methods. And the findings have important implications for scientists, policy-makers, and investors in this domain.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}