CorText Manager around the world

@article{Bañas2023,

title = {Stormwater Harvesting from Roof Catchments: A Review of Design, Efficiency, and Sustainability},

author = {Karen Bañas and Miguel Enrico Robles and Marla Maniquiz-Redillas},

url = {https://www.mdpi.com/2073-4441/15/9/1774

},

doi = {10.3390/w15091774},

year  = {2023},

date = {2023-05-05},

urldate = {2023-05-05},

journal = {Water},

volume = {15},

pages = {1774},

publisher = {MDPI},

abstract = {Roof runoff is collected rainwater from a roof using a rainwater harvesting system (RWHS). The construction of an efficient RWHS requires a thorough analysis of the rainwater quality and the appropriate treatment process for its intended use. In line with this, a bibliometric and comprehensive review of studies related to roof rainwater harvesting was conducted. A corpus of 1123 articles was downloaded from the Scopus database and parsed through the CorText Manager to determine the relationships between keywords, journals, and topics related to rainwater harvesting. A comprehensive analysis was also conducted to determine the different designs of RWHS, the quality of harvested rainwater from roof catchments, the efficiency of the system for specific purposes, and its sustainability in terms of economic, environmental, and social aspects. Results show that the effectiveness of a RWHS heavily depends on its installation site, the physicochemical characteristics of the harvested rainwater, and the acceptability of the end users. An effective water treatment process is essential for achieving better water quality for harvested rainwater. Moreover, assessing the financial viability and return on investment of an RWHS is necessary.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Robles2023,

title = {국내 및 국외 적용된 인공습지 내 Bibliometric Analysis을 이용한 탄소저장 및 탄소격리 능력 분석 (Carbon Storage and Sequestration in Constructed Wetlands : A Systematic Review)},

author = {M. E. L. Robles and N. J. D. G. Reyes and H. S. Choi and M. S. Jeon and L. H. Kim},

url = {https://www.earticle.net/Article/A431169

https://scholar.kyobobook.co.kr/article/detail/4050047457914},

doi = {https://doi.org/10.17663/JWR.2023.25.2.132},

issn = {1229-6031},

year  = {2023},

date = {2023-05-01},

urldate = {2023-05-01},

journal = {한국습지학회지 (Journal of the Korean Wetland Society)},

volume = {25},

issue = {2},

pages = {132-144},

abstract = {최근 인공습지(Constructed Wetlands, CWs)를 이용한 탄소격리에 대한 연구가 활발히 진행되고 있으나 인공습지는 미생물, 식생, 여재 등 소규모 생태계로 탄소흡수원과 탄소 공급원 두가지 기능을 수행하기에 탄소중립을 위한 인공 습지의 기능이 확실하지 않다. 따라서 본 연구에서는 인공습지의 탄소격리에 대한 기능을 파악하고자 계량서지학 분 석(Bibliometric analysis)을 통해 다양한 논문 및 보고서를 기반으로 다양하고 포괄적으로 검토를 수행하였다. 계량서 지학 분석(Bibliometric analysis) 결과 인공습지의 기능은 질소를 초점에 두어 영양염류 제거 효과가 높은것으로 분석 되었으며, 인공습지는 토양 내 탄소함유량 및 탄소 격리는 토양 내 조성된 식생, 조성연도 및 유입수 내 유기물 함량 에 따라 다른것으로 나타났다. 인공습지 내 적용되어진 식생 중 부들과(Typha)가 많이 적용되었으며, 탄소격리율에 기여도가 높은것으로 분석되었다. 목본류는 관목류에 비해 상대적으로 탄소격리율이 높아 인공습지 설계시 단일식생 보다는 목본류와 관목류의 복합적으로 조성하여 인공습지 내 탄소격리율과 기후변화를 완화하는데 기여할 것으로 분 석되었다.



The use of constructed wetlands (CWs) to sequester carbon has been a topic of interest in recent studies. However, CWs have been found to be both carbon sinks and carbon sources, thus leaving uncertainties about their role in carbon neutrality initiatives. To address the uncertainties, a bibliometric and comprehensive review on carbon sequestration in CWs was conducted. Upon forming various scripts using CorText Manager, it was found that a majority of the studies focused on the effectiveness of CWs to remove nutrients, particularly nitrogen. The results of the comprehensive review revealed that high carbon concentrations and carbon sequestration rates in CW soils are dependent on the vegetation types used, the ages of the CWs, and the organic content of inflow water entering the CWs. The Typha genus was the most dominant plant genus used in the CWs from the reviewed studies and was associated with the highest carbon sequestration rates documented in this review study. Furthermore, the relatively high ability of tree species, in comparison to emergent plants, to sequester carbon was observed. Therefore, incorporating tree species into CW designs and adding them to emergent plants is seen as a potential breakthrough approach to improve the ability of CWs to sequester carbon and ultimately contribute to mitigating climate change.},

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{Scherngell2023,

title = {The geographical dynamics of global R&D collaboration networks in robotics: Evidence from co-patenting activities across urban areas worldwide},

author = { Thomas Scherngell and Katharina Schwegmann and Georg Zahradnik},

editor = {Celine Rozenblat from University of Lausanne SWITZERLAND},

url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281353},

doi = {https://doi.org/10.1371/journal.pone.0281353},

year  = {2023},

date = {2023-04-13},

urldate = {2023-04-13},

journal = {PLOS ONE},

abstract = {The focus of this study is on the geography of robotics Research and Development (R&D) activities. The objectives are, first, to identify hotspots in robotics R&D worldwide, and second, to characterise structures and dynamics of global robotics R&D collaboration networks through detailed geographical lenses of global urban areas. We use patents as marker for R&D activities, and accordingly focus on technologically oriented R&D, drawing on information from patents applied for between 2002 and 2016. We employ an appropriate search strategy to identify relevant robotics patents based on detailed levels of the Cooperative Patent Classification (CPC) and assign patents to more than 900 global urban areas based on the inventor addresses. The co-patent networks are examined from a Social Network Analysis (SNA) perspective by means of robotics co-patents, contributing to a global network where urban areas are the nodes inter-linked by joint inventive activities recorded in robotics patents. Global SNA measures illustrate structures and dynamics of the network as a whole, while local measures indicate the specific positioning and roles of urban areas in the network. The results are original in characterising the global spatial emergence of this generic new industry, highlighting prominent urban hotspots in terms of specialisation in robotics R&D, pointing to a global shift reflected by the increasing role of emerging economies, in particular China. The global robotics R&D has grown significantly both in total patenting and also in terms of R&D collaboration activities between urban areas. Also, for the networks, growth is not equally distributed, but is rather characterised by significant spatial shifts, both in terms of cities declining or climbing up the specialisation ranking, but even more in terms of the spatial network structure.},

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{Zheng2023,

title = {Knowledge mining and graph visualization of ancient Chinese scientific and technological documents bibliographic summaries based on digital humanities},

author = {Xiang Zheng and Mingjie Li and Ze Wan and Yan Zhang},

url = {https://www.researchgate.net/publication/371132396_Knowledge_mining_and_graph_visualization_of_ancient_Chinese_scientific_and_technological_documents_bibliographic_summaries_based_on_digital_humanities},

doi = {10.1108/LHT-11-2022-0538},

year  = {2023},

date = {2023-03-05},

journal = {Library Hi Tech},

abstract = {Purpose This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents. Design/methodology/approach This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs. Findings The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist. Originality/value This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Loconto2023,

title = {Innovations for Sustainable Food Systems: Focusing on Agroecology and Participatory Guarantee Systems},

author = {Allison Marie Loconto and Francisco Garrido-Garza and Ivan Dufeu},

url = {https://www.jstage.jst.go.jp/article/arfe/59/1/59_37/_article/-char/ja/

https://www.jstage.jst.go.jp/article/arfe/59/1/59_37/_pdf/-char/ja},

doi = {10.7310/arfe.59.37},

issn = {2185-9973},

year  = {2023},

date = {2023-03-01},

urldate = {2023-03-01},

journal = {Journal of Rural Problems},

volume = {59},

number = {1},

pages = {37-44},

abstract = {While organic agriculture has created a set of institutions that allow producers to know which practices provide “organic” quality and allow consumers to recognize it via an on-package label, the landscape of agroecological products is quite fluid and diverse. Often, products are traded directly between producers and consumers and quality is conveyed verbally. However, there has been a general increase in the use of private labels to claim that products are agroecological or “more than organic”. This article explores these recent innovations by asking: How does agroecology become a product quality claim in innovative forms of quality control? To answer this question, data on labels claiming to be “agroecological” and related assurance systems were gathered through internet research, market monitoring and semi-structured interviews in the European Union. In this article we explore the range of claims, and control networks, used to characterize the so-called “agroecological” labels and confront them with FAO’s 10 principles of agroecology. This 27-country comparison offers interesting insights into the overlaps and boundaries between agroecology and organic agriculture in terms of the markets that are created.},

note = {農林業問題研究},

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{Reyes2023,

title = {Bibliometric Analysis and Comprehensive Review of Stormwater Treatment Wetlands: Global Research Trends and Existing Knowledge Gaps},

author = {Nash Jett Reyes and Franz Kevin F. Geronimo and Heidi B. Guerra and Lee-Hyung Kim},

url = {https://www.mdpi.com/2071-1050/15/3/2332},

doi = {10.3390/su15032332},

issn = {2071-1050},

year  = {2023},

date = {2023-01-27},

urldate = {2023-01-27},

journal = {Sustainability},

volume = {15},

number = {3},

abstract = {Stormwater treatment wetlands are widely recognized as efficient and cost-effective solutions to growing stormwater problems. This study presented a new approach to evaluating the current status and trends in stormwater treatment wetlands research. The annual scientific productivity of different states was identified using a bibliometric analysis approach. The number of publications related to stormwater treatment wetlands has exhibited an increasing trend since the earliest record of publication. USA and China were among the states that had the most number of stormwater treatment wetlands-related publications and international collaborations. In terms of the population-to-publication ratio, Australia, Canada, and South Korea were found to have a higher level of scientific productivity. Analysis of frequently used keywords and terms in scientific publications revealed that the efficiency of stormwater treatment wetlands and the processes involved in the removal of nutrients and trace elements were adequately investigated; however, inquiries on the removal of organic micropollutants and emerging pollutants, such as pharmaceuticals and personal care products, microplastics, and industrial compounds, among others, are still lacking. Through the comprehensive review of related scientific works, the design, components, and primary factors affecting the performance of stormwater treatment wetlands were also identified. Future works that address the aforementioned knowledge gaps are recommended to optimize the benefits of stormwater treatment wetlands.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hinkelman2023,

title = {Design methodologies and engineering applications for ecosystem biomimicry: An interdisciplinary review spanning cyber, physical, and cyber-physical systems},

author = {Kathryn Hinkelman and Yizhi Yang and Wangda Zuo},

url = {http://iopscience.iop.org/article/10.1088/1748-3190/acb520},

doi = {10.1088/1748-3190/acb520},

year  = {2023},

date = {2023-01-20},

urldate = {2023-01-20},

journal = {Bioinspiration & Biomimetics},

school = {The Pennsylvania State University},

abstract = {Ecosystem biomimicry is a promising pathway for sustainable development. However, while typical form- and process-level biomimicry is prevalent, system-level ecosystem biomimicry remains a nascent practice in numerous engineering fields. This critical review takes an interdisciplinary approach to synthesize trends across case studies, evaluate design methodologies, and identify future opportunities when applying ecosystem biomimicry to engineering practices, including cyber systems (CS), physical systems (PS), and cyber-physical systems (CPS). After systematically sourcing publications from major databases, the papers were first analyzed at a meta level for their bibliographic context and for statistical correlations among categorical variables. Then, we investigated deeper into the engineering applications and design methodologies. Results indicate that CPS most frequently mimic organisms and ecosystems, while CS and PS frequently mimic populations-communities and molecules-tissues-organ systems, respectively (statistically highly significant). An indirect approach is most often used for mimicry at organizational levels from populations to ecosystems, while a direct approach frequently suits levels from molecules to organisms (highly significant). Dominant themes across engineering applications include symbiotic organism search algorithms for CS and ecological network analysis for CPS, while PS applications are highly diverse. For design methodologies, this work summarizes and details ten well-documented biomimetic process models among literature, which addresses an outdated concern for a lack of systematic methods for ecosystem biomimicry. In addition to the Biomimetics Standard ISO 18458, these methods include the Natural Step and Techno-Ecological Synergy framework, among others. Further, the analyses revealed future opportunities from less utilized design methods (e.g., interdisciplinary teams tackling indirect, ecosystem-level projects) to well-established engineering concepts ready for technological advancement (e.g., implementing membrane computing for physical applications). For future studies, this review provides a comprehensive reference for ecosystem biomimetic design practices and application opportunities across multiple engineering domains.},

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}

}