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PurposeThis paper aims to present a methodology for technological foresight and technological scanning based on S&T and knowledge indicators.Design/methodology/approachThis proposal considers S&T and knowledge indicators, such as a patents indicator (technology), research and development indicator (science) and competencies indicator (human resources). International databases and a data‐and text‐mining tool are used to build up knowledge maps and reference tables to support decision making.FindingsThis study provides information about the use of technological foresight and technological scanning using the biotechnology in the health sector as a case study. In this paper, the trends observed in patents and articles worldwide clearly show the growth in biotechnology, which points to the need to prioritize this area, as well as opening up a variety of opportunities, especially when one considers the human competencies already consolidated in Brazilian universities and research institutes, which could be better harnessed by industry and could help ensure greater innovation and competitiveness.Originality/valueThe paper presents a methodology for the effective support of decision taking during the prioritization of strategic and/or technological areas by visualizing potential markets and partnership opportunities. Furthermore, it emphasizes the role of biotechnology as a catalyst for S&T and innovations in the world.

Os requisitos ambientais do comércio internacional são freqüentemente usados pelos países desenvolvidos como barreiras técnicas ao acesso a mercados pelos países em desenvolvimento. Conhecer estes requisitos é especialmente importante para o setor de defensivos agrícolas (pesticidas). Assim, este artigo busca identificar os principais requisitos ambientais relativos aos defensivos agrícolas, mostrando a importância dos mesmos para os comércio exterior dos países em desenvolvimento, especialmente o Brasil.

21st Century brings great challenges in the information and knowledge areas. The public health is intensified in Developing and Less Developed Countries on account of parasitic diseases as well as developed countries because emerging and reemerging diseases. This diseases associated with chronic or acute diseases can intensify causing a serious health problem as drugs resistance, neglected disease and to afford perpetuate poverty. Thus, it is urgent new ways for information management. The management of the Partnership for Productive Development (PDP) have been shown a promising tool to help internalize new technologies and foster R,D&I. This chapter gives an evaluation for Healthcare using the example of the Brazilian PDP whose last way may be considered as a Knowledge Translation. In five years were conducted 103 PDP involving public and private pharmaceutical companies and international producer, promoting the development of local economy and reducing government spending from medicines derived from PDP. ; publishersversion ; published

The last several years have revealed information technology and scientific data to be important allies. However, the most important scientific ally is that which can assist in the complex task of identifying, collecting and treating the exponential amount of data added to the Web every day in the XXI century. Moreover, the volume of this data exceeds 2.5 x 1018 new bytes per day and arrives on the Web at a rapid speed. Thus, it is necessary to assess the veracity of these data and their value to decision-making. Although approximately 43% of the data are related to health and about one million scientific articles published per year are in the health field, it is important to think beyond trivial models to solve problems of local health with a global focus. Thus, this work aims to contribute to the reflection on the use of free tools as well as to discussions of collaborative and effective partnerships for action in the field of Public Health. This study shows opportunities to use open science for global health innovation, mainly, to the countries with difficulty in managing the problems of their ills. Open science in times of Big Data are much more agile than the old model of closed science, i.e., isolated groups that either did not share data or did share but at prices that were unaffordable for developing or underdeveloped countries. Technological development for new chemical entities can be facilitated by using the open science of the Scientific's Big Data.

Resumo Objetivo: Apresentar meios de capacitação comportamental de profissionais e estudantes de engenharia para Indústria 4.0. Originalidade/valor: Este estudo propõe um modelo de colaboração homem-máquina inteligente (aplicação de IA) para capacitação de profissionais de engenharia no local de trabalho. Identifica e qualifica evidências de competências comportamentais para Indústria 4.0 a serem desenvolvidas nos cursos de graduação em Engenharia da UFRJ. Design/metodologia/abordagem: O modelo de colaboração engenheiro-máquina abrange o Design Thinking (Brown, 2010). Trata-se de uma modelagem cognitiva do engenheiro adaptada ao modelo para o raciocínio lógico (Paul & Elder, 2002), com a integração da modelagem cognitiva ajustada ao modelo de fluxo de informações de interação homem-máquina (Riley, 1989). A implementação do modelo de competência para Indústria 4.0 (Prifti et al., 2017), a entrevista com dirigentes da EQ e Poli (UFRJ) sobre o planejamento para implementação das novas DCN de Engenharia (Resolução nº 2, 2019) e a aplicação da abordagem GRADE (Balshem et al., 2011) para qualificação do nível de confiança suportaram a identificação de evidências de competências comportamentais para Indústria 4.0 na graduação. Resultados: Os profissionais de engenharia treinam análise crítica e tomada de decisão, enquanto a máquina busca/processa informação e realiza simulações. Os cursos de graduação da EQ/Poli da UFRJ apresentam baixa evidência quanto à qualificação dos alunos em "inteligência emocional, tomada de decisão e relação com cliente". Não foram identificadas evidências quanto à capacitação dos estudantes em "autogestão, empreendedorismo e conhecimento de modelo de negócios".

Abstract Purpose: To present suggestions for behavioral competency development for engineers and Engineering students to work in Industry 4.0. Originality/value: A human-machine collaboration model (with artificial intelligence application) is proposed for training engineering professionals for the workplace. The behavioral skills for Industry 4.0 to be developed in Engineering degree programs and the quality of evidence of their inclusion in such programs of the Federal University of Rio de Janeiro (Universidade Federal do Rio de Janeiro [UFRJ]) are assessed. Design/methodology/approach: The engineer-machine collaboration model draws on Design Thinking (Brown, 2010) and cognitive modeling of engineers based on a model of logical reasoning (Paul & Elder, 2002), integrating the cognitive model with a model of information flows in human-machine interactions (Riley, 1989). A competency model for Industry 4.0 (Prifti et al., 2017), interviews with leaders of Engineering schools of UFRJ, addressing their planning for the implementation of the new National Curriculum Guidelines for Engineering programs (Resolução no. 2, 2019), and application of the GRADE approach (Balshem et al., 2011) supported the identification of evidence of behavioral competencies for Industry 4.0 in the undergraduate programs. Findings: Engineering professionals train their critical analysis and decision-making skills while the machine searches for and processes information and performs simulations. Low quality evidence was found for the training of undergraduates in emotional intelligence, decision-making, and customer relations. No evidence was identified of training in self-management, entrepreneurship, and understanding of the business model.

Investment in nanotechnology is now a given constant by governments, research centers and companies in both more developed countries and emerging markets. Due to their characteristics, such as high stability, ability to enable antigen identification on specific cells in the human body and controlling the release of drugs and, therefore, improving therapies, nanoparticles have been the subject of research and patent applications in the pharmaceutical field. According to the Organization for Economic Co-operation and Development (OCDE), patent data can be used as a source of information in order to measure science and technology activities. Thereby, this paper presents an analysis based on patent documents related to nanotechnology in the pharmaceutical sector. As a result, the analysis of patents demonstrate primarily that nanobiotechnology attracts high levels of R&D investments, including nanoparticle-based chemotherapeutic agents/drugs, monoclonal antibody nanoparticle complexes and their role in drug delivery or contrast agents with non-toxic effects.

According to data from the United Nations, cancer is the second leading cause of death in the world. Studies in the area advocate that this data be treated in an agile manner, to extract essential information. This work analyzed the characteristics of the world's scientific production on injectable oncologic agents present in articles in the Web of Science database between 2001 and 2021. Bibliometrics were performed on 1,496 articles. There was a constant increase in publications over the years – emphasis on 2021. The technological domain "pharmacy and pharmacology" was the most recurrent. China is the leader with a total of 505, while Elsevier was the publisher of the most published articles in the analyzed period. In relation to the most productive authors, Qian ZY stands out, with 18 articles. The most productive institution is the Chinese Academy of Sciences with 68 articles. Concerning networks using VOSviewer®, the following stand out: Li, Y. et al. (2012), (co-citation of references; 62); "Biomaterials" (co-citation of journals; 3,006); nanoparticles (keyword co-occurrence; 262); Soo-Chang Song (bibliographic coupling; 776). The study helps public health stakeholders in injectable antineoplastics to obtain essential information and thus contribute to better health management in both the public and private sectors.
Keywords: bibliometric analysis, cancer, injectable antineoplastics, co-citation, public health