Category Archives: novel source

non-typical database

Future of Bioprinted Tissues аnd Organs: A Two-Wave Global Survey (Full-Text)

Technologies of 3D- and 4D-bioprinting make it possible to restore or replace tissues and organs, solving the problem of the lack of donor resources and reducing the risks of implant rejection. This article presents the results of a two-stage global survey of specialists in tissue engineering on the prospects of bioprinting in preclinical studies and clinical practice. A picture of possible tracks and horizons upon which the implementation of the considered solutions is possible is presented. According to the results of the survey, in the next two decades it will be possible to recreate tissues and organs suitable for implantation and drug testing. There will be a market for bioprinted products, the problem of organ shortages and adverse reactions to drugs will be solved. These changes may significantly affect not only the practice of biomedical research, drug testing, and medicine, but also the healthcare sector in general, which implies the need for a preventive review of current policies. A practical and accessible tool for identifying (searching and collecting respondents in scientific publications) and interviewing a large number of experts around the world is proposed, which may be useful for new Foresight studies.

For FULL-TEXT 10.17323/2500-2597.2022.1.6.20

Author(s): Fabio Batista Mota, Luiza Amara Maciel Braga, LBernardo Pereira Cabral , Carlos Gilbert Conte Filho
Organization(s): Oswaldo Cruz Foundation (Fiocruz), Fluminense Federal University, Federal University of Bahia
Source: Foresight and STI Governance
Year: 2022

Anticipating New Treatments for Cystic Fibrosis: A Global Survey of Researchers (full-text)

Cystic fibrosis is a life-threatening disease that affects at least 100,000 people worldwide. It is caused by a defect in the cystic fibrosis transmembrane regulator (CFTR) gene and presently, 360 CFTR-causing mutations have been identified. Since the discovery of the CFTR gene, the expectation of developing treatments that can substantially increase the quality of life or even cure cystic fibrosis patients is growing. Yet, it is still uncertain today which developing treatments will be successful against cystic fibrosis. This study addresses this gap by assessing the opinions of over 524 cystic fibrosis researchers who participated in a global web-based survey. For most respondents, CFTR modulator therapies are the most likely to succeed in treating cystic fibrosis in the next 15 years, especially through the use of CFTR modulator combinations. Most respondents also believe that fixing or replacing the CFTR gene will lead to a cure for cystic fibrosis within 15 years, with CRISPR-Cas9 being the most likely genetic tool for this purpose.

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Author(s): Bernardo Cabral, Vito Terlizzi, Onofrio Laselva, Carlos Conte Filho, Fabio Mota
Organization(s): Federal University of Bahia, Oswaldo Cruz Foundation, University of Foggia, Federal University of Santa Maria, Anna Meyer Children’s University
Source: Journal of Clinical Medicine
Year: 2022

Worldwide trends on molar incisor and deciduous molar hypomineralisation research: a bibliometric analysis over a 19-year period

The goal of this study was to identify the worldwide trends in scientific evidence and gaps in knowledge regarding molar incisor hypomineralisation (MIH) and deciduous molar hypomineralisation/hypomineralised second primary molars (DMH/HSPM), exploring the contribution of authors and countries, possible etiological factors and proposed treatments, in order to guide future research in the area. Searches were conducted in MEDLINE, Scopus, Web of Science, Cochrane Library, Lilacs/BBO, Embase and Google Scholar. Studies employing the terms MIH, DMH/HSPM and their linguistic variations were included. The following data were extracted: title, authors, year and journal of publication and first author’s affiliation country. Studies were categorized according to topic, dentition, study design, etiological factors and types of treatments. Categories were analysed in relation to their distribution, co-occurrence, cross-correlation and/or autocorrelation. Results Five hundred and three studies were included. The most published authors were Manton D (n = 47), de Souza JF (n = 22) and Ghanim A (n = 22) and four main collaboration clusters have been identified. Most of the studies were conducted on permanent dentition (MIH) (87.4%); with observational design (57.2%). The “European Archives of Paediatric Dentistry” was the most published journal (13.3%) and a significant increase in the number of publications was observed in the last decade. MIH was most studied in relation to prevalence/incidence, systemic factors involved in its aetiology and treatment with composite restorations, while a gap in knowledge was observed for extraction and sealants. Less studies were published on DMH/HSPM and most of them evaluated risk factors or prevalence/incidence. The gap of knowledge was observed in relation to treatments and patient’s quality of life. This bibliometric review provided a comprehensive overview of research in MIH and DMH/HSPM over the past 19 years. Within the limitations of the present study, the following conclusions can be drawn: global trends point to an increasing peak of scientific publication, especially in the last decade, while there is a shortage of clinical studies on treatments, mainly evaluating tooth extractions. Finally the multifactorial nature should be further explored, considering environmental and systemic factors together.

Author(s): T. da Costa Rosa, A. V. B. Pintor, M. B. Magno, G. A. Marañón-Vásquez, L. C. Maia, A. A. Neves
Organization(s): Universidade Federal Do Rio de Janeiro
Source: European Archives of Paediatric Dentistry
Year: 2021

A framework for enhancing the fresh food retail supply chain performance: evidence from India

The paper identifies the improvement initiatives for enhancing the fresh food retail supply chain performance w.r.t. time, cost, quality, customer service and profitability. To identify the critical initiatives, a thorough analysis of the literature followed by validation in two fresh food retail supply chains were carried using a case-based approach. Data were collected by conducting the semi-structured interviews among the senior executive selected using snowball sampling technique and responses were analysed using manual coding followed by validating through a text mining software. The VantagePoint software identified the probable relationships amongst the initiatives and with the performance measures. It also clustered the initiatives and identified their strength of relationships. Cross-case syntheses of two ‘farm to fork’ models were facilitated in developing the research propositions. The study presents a comprehensive framework of initiatives comprising of supplier and customer related initiatives along with a unique and prominent initiative in food, i.e., product and process initiatives.

Author(s): Rose Antony, Vivekanand B. Khanapuri, Karuna Jain
Organization(s): National Institute of Industrial Engineering (NITIE), Narsee Monjee Institute of Management Studies
Source: International Journal of Services and Operations Management
Year: 2021

Fat-free/lean body mass in children with insulin resistance or metabolic syndrome: a systematic review and meta-analysis (FULL-TEXT)

The current investigation aimed to examine the differences in fat-free mass /lean body mass according to the presence of insulin sensitivity/insulin resistance/glucose tolerance/metabolic syndrome in children. A systematic search was carried out in Medline/PubMed, Embase, Scopus, Web of Science, and SciELO, covering the period from each database’s respective start to 21 June 2021. Two researchers evaluated 7111 studies according to the inclusion criteria: original human studies, written in English or Spanish, evaluating fat-free mass/lean body mass in children and adolescents including both with and without insulin sensitivity/insulin resistance /glucose tolerance and metabolic syndrome and reported the differences between them in terms of fat free mass/lean body mass. The results of the studies were combined with insulin sensitivity, insulin, resistance, glucose tolerance and metabolic syndrome. The standardized mean difference (SMD) in each study was calculated and combined using the random-effects model. Heterogeneity between studies was tested using the index of heterogeneity (I2), leave-one-out sensitivity analyses were performed, and publication bias was assessed using the Egger and Begg tests. Finally, 15 studies which compared groups defined according to different glucose homeostasis criteria or metabolic syndrome out of 103 eligible studies were included in this systematic review and 12 studies in the meta-analysis. Meta-analysis showed lower fat-free mass/lean body mass percentage in participants with insulin resistance/glucose tolerance/metabolic syndrome (SMD -0.47; 95% CI, − 0.62 to − 0.32) while in mass units (kg), higher values were found in the same group (SMD, 1.01; 95% CI, 0.43 to 1.60).


Author(s): Diana Paola Córdoba-Rodríguez, Iris Iglesia, Alejandro Gomez-Bruton, Gerardo Rodríguez, José Antonio Casajús, Hernan Morales-Devia, Luis A. Moreno
Organization(s): Pontificia Universidad Javeriana, Universidad de Zaragoza, Instituto de Salud Carlos III
Source: BMC Pediatrics
Year: 2022

Robotic Bureaucracy and Administrative Burden: What Are the Effects of Universities’ Computer Automated Research Grants Management Systems?

Our paper seeks to understand effects of computerized approaches to university research grants and contracts management, especially impacts on administrative burden. Ours is a multi-method paper, including interviews with academic researchers but focuses chiefly on participant-observer research, using hundreds of our own emails from two projects located at two different universities. We find that robotic emails have complex effects and that their utility pertains to researchers’ familiarity with the systems and compliance requirements, the clarity of administrative requests, the extent and location of staff support, and the interaction of personal work habits with system requirements. We provide suggestions for improving automated research administration.

Author(s): Barry Bozeman, Jan Youtie, Jiwon Jung
Organization(s): Arizona State University, Georgia Institute of Technology
Source: Research Policy
Year: 2020

On the design of linked datasets mapping networks of collaboration in the genomic sequencing of Saccharomyces cerevisiae, Homo sapiens, and Sus scrofa (Full-Text)

This paper describes a unique two-step methodology used to construct six linked bibliometric datasets covering the sequencing of Saccharomyces cerevisiaeHomo sapiens, and Sus scrofa genomes. First, we retrieved all sequence submission data from the European Nucleotide Archive (ENA), including accession numbers associated with each species. Second, we used these accession numbers to construct queries to retrieve peer-reviewed scientific publications that first linked to these sequence lengths in the scientific literature. For each species, this resulted in two associated datasets: 1) A .csv file documenting the PMID of each article describing new sequences, all paper authors, all institutional affiliations of each author, countries of institution, year of first submission to the ENA, and the year of article publication, and 2) A .csv file documenting all institutions submitting to the ENA, number of nucleotides sequenced, number of submissions per institution in a given year, and years of submission to the database. In several upcoming publications, we utilise these datasets to understand how institutional collaboration shaped sequencing efforts, and to systematically identify important institutions and changes in network structures over time. This paper, therefore, should aid researchers who would like to use these data for future analyses by making the methodology that underpins it transparent. Further, by detailing our methodology, researchers may be able to utilise our approach to construct similar datasets in the future.

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Author(s): Mark Wong, Rhodri Leng
Organization(s): University of Glasgow, University of Edinburgh
Source: F1000Research
Year: 2019

Effects of innovation management system standardization on firms: evidence from text mining annual reports

Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.

Author(s): Gaizka Garechana, Rosa Río-Belver, Iñaki Bildosola, Marisela Rodríguez Salvador
Organization(s): University of the Basque Country UPV/EHU, Tecnológico de Monterrey
Source: Scientometrics
Year: 2017

Annual reports have been text-mined using the NLP tools provided by Vantage Point software to capture the concepts occurring in the vicinity of SI terms and the changes in concepts and their relationships, in addition to emotions, have been analyzed.

Climate Change and Our Future: Anticipating Trends and Challenges Using Media Data

This paper proposes a multidisciplinary approach to understanding the future perspectives of climate change. First, it analyzes the possibilities of using the media as an information source for anticipating trends and challenges in this area through exploring the topics that have been actively discussed in the news in the recent 5 years. Second, qualitative and quantitative approaches are combined in this study in order to identify trends of different categories: social, technological, economic, environmental, political and values/culture. It allows integrating the results of trends monitoring obtained from qualitative and quantitative sources and create a complex map of trends. Qualitative approach is based on the literature review and consultations with the experts, while quantitative analysis includes collecting the news from Factiva database and processing it in Vantage Point software using bibliometric analysis, natural language processing, statistical analysis and principal component analysis. The results shown that 58% of trends were validated by the news and its contribution to the final trends list accounts for 25% on average, which means that the media can be considered as a useful additional data source for validating and updating trends. The results of this multidisciplinary study can be of interest to researchers, economists, business representatives and policy makers that are involved in the climate change related activities.

Author(s): Nadezhda Mikova
Organization(s): National Research University Higher School of Economics
Source: Higher School of Economics Research Paper No. WP BRP 65/STI/2016.
Year: 2016

Graphene enterprise: mapping innovation and business development in a strategic emerging technology

This paper explores enterprise development and commercialization in the field of graphene. Firm characteristics and relationships, value chain positioning, and factors associated with product entry are examined for a set of 65 graphene-oriented small and medium-sized enterprises located in 16 different countries. As well as secondary sources and bibliometric methods to profile developments in graphene, we use computerized data mining and analytical techniques, including cluster and regression modeling, to identify patterns from publicly available online information on enterprise web sites. We identify groups of graphene small and medium-sized enterprises differentiated by how they are involved with graphene, the materials they target, whether they make equipment, and their orientation toward science and intellectual property. In general, access to finance and the firms’ location are significant factors that are associated with graphene product introductions. We also find that patents and scientific publications are not statistically significant predictors of product development in our sample of graphene enterprises. We further identify a cohort of graphene-oriented firms that are signaling plans to develop intermediate graphene products that should have higher value in the marketplace. Our findings suggest that policy needs to ensure attention to the introduction and scale-up of downstream intermediate and final graphene products and associated financial, intermediary, and market identification support. The paper demonstrates novel data methods that can be combined with existing information for real-time intelligence to understand and map enterprise development and commercialization in a rapidly emerging and growing new technology.

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Author(s): Philip Shapira, Abdullah Gök, Fatemeh Salehi
Organization(s): Manchester Institute of Innovation Research (University of Manchester)
Source: Journal of Nanoparticle Research
Year: 2016