Adelaide Maria de Souza Antunes

This article examines the effects of uncertainty about the essentiality of Standard Essential Patents (SEPs) in a purely implementing jurisdiction such as Brazil. Starting from the empirically supported finding that no Brazilian company figures among the main holders of SEPs related to the 5G standard — characterizing what is termed the innovation paradox — the article draws on Schuett and Wipusanawan’s (2025) informational asymmetry model and Zheng’s (2024) comparative jurisdictional analysis to argue that essentiality uncertainty, arising from the self-declaration system without institutional verification, produces more severe asymmetric effects in purely implementing jurisdictions. It artificially raises the costs of access to standardized technology and creates structural barriers to entry for small and medium-sized enterprises. The article analyzes Brazil’s institutional framework — comprising the INPI, CADE, and the Judiciary — identifying structural limitations that constrain the effectiveness of available instruments. It concludes that reducing opacity about essentiality is a public policy imperative, and that semi-automatic AI-based screening tools, combined with deepened CADE engagement on SEP/FRAND issues, represent promising and proportionate pathways given existing institutional capacities.

The present study seeks to discuss the theme of interdisciplinarity in the search for innovation, precisely technological innovation, within academic environments. The objective of the work is to investigate which studies carried out with interdisciplinary teams had their research transformed into published articles and/or patents granted or in the concession process, in the last 11 years and which Universities or Education and Research Institutions are responsible for these products, in the search to understand the contribution of this field of science to society. To achieve this objective, the methodology adopted for the work is qualitative-quantitative, through the bibliographic and documentary survey on the subject. studies demonstrate that interdisciplinary approaches are crucial for the generation of innovations in universities for several reasons, including the connection of knowledge: solution to complex challenges, collaboration between experts and the acceleration of scientific progress. In this way, it can be said that interdisciplinarity has as its main objective, to contribute to a more unified teaching and learning process, allowing the development of individuals, in their fullness.

Introdução: Dados de diversas fontes são gerados a cada segundo, exigindo, assim, novas soluções para processá-los e gerenciá-los de maneira rápida. Muitas organizações públicas e privadas têm utilizado a análise de Big Data como estratégia de gestão. No campo da Oncologia, a análise de Big Data é capaz de fornecer subsídios valiosos à tomadores de decisão, seja para o desenho de políticas públicas, a alocação de recursos para pesquisa. Neste trabalho propõe-se uma metodologia para prospecção e análise de dados de CV Lattes visando identificar pesquisadores especialistas no campo da oncologia. Método: Utilizou-se, neste estudo, a ferramenta computacional ScriptLattes em combinação com o software KNIME para extração e análise de dados. Foram obtidas informações essenciais dos pesquisadores que atuam em oncologia, na subárea Medicina. A metodologia envolveu a identificação de especialistas, principais produções, distribuição geográfica e redes de colaboração. Resultados: A Plataforma Lattes revelou 198 pesquisadores aderentes aos critérios e filtros aplicados na estratégia de busca, dos quais 134 especialistas foram identificados com graduação em medicina e produções na área de oncologia. Artigos científicos figuram como principal produção entre os especialistas de maior destaque. Observou-se maior concentração desses especialistas na Região Sudeste do país e a presença de uma rede de colaborações envolvendo a maior parte dos especialistas mais produtivos. Conclusão: As estratégias e metodologias apresentadas neste estudo permitem a prospecção de informações e construção do cenário de especialistas brasileiros em oncologia, sendo promissoras para subsidiar gestores de CT&I na tomada de decisões.

Multiple Sclerosis (MS) is a chronic disease characterized by a process of loss of the myelin sheath of neuronal axons. It is estimated that in 2020, there were 2.8 million people with MS worldwide. A promising pharmaceutical class that already has four drugs for MS treatment is S1P1 modulators class. The aim of this study was to conduct a technological prospecting, using patents and scientific articles related to the technological development of S1P1 modulators applied to the multiple sclerosis treatment. Novartis is the institution that has published the largest number of scientific publications in the area and, also, the one that has filed the largest number of patent applications. It was observed that, even the scientific research conducted by Novartis has an applied research character.

This article aims to review the various techniques used to produce diesel from lignocellulosic biomass. Data were collected using the Web of Science database to identify trends, barriers, and prospects associated with the alternative methods used. The analysis reviewed 359 papers published between 2006 and 2021, focusing on three key areas: biomass pretreatment, biomass conversion, and biorefining. Pretreatment technologies require extensive research to reduce excessive energy and reagent consumption, thereby reducing overall costs. Fast pyrolysis and lipid‐producing microorganisms have been shown to be the most promising conversion routes due to their versatility in utilizing different lignocellulosic residues and producing a wide range of marketable co‐products. The most widely used method used for refining is hydroprocessing coupled with catalysts, with the objective of improving bio‐oil quality. Two of the main challenges are the excessive cost of the overall process and the limitations imposed by the technology. These limitations require processing optimization to achieve sustainable production and valuable co‐products. The growth of lignocellulosic diesel production will depend on the integration with other biodiesel and biofuel production processes by the optimization of new processes and the generation of new bioproducts to increase efficiency and reduce costs for commercial viability.

Information and Knowledge Management is used to improve the performance of companies' innovative activities. Before implementing a management process, organizations must analyze its aspects related to the dynamics of internal knowledge, whether tacit or explicit. Thus, information management for maturity monitoring constitutes a tool capable of enabling and implementing initiatives in a systematic and structured way. They allow us to continually improve the governance of innovation and projects. In this way, this article contributes to improving information management through a maturity level model and with proposals for improvement for acting and sustainability of the strategic governance of its intellectual assets. Interviews conducted based on the model proposed by Batista (2012) but applied in a pharmaceutical company. After identifying the scenario, the relationship between the critical success factors of managing its processes and knowledge innovation was evaluated. With the degree of maturity obtained, it was compared against the “ideal” degrees and a management plan for projects and processes proposed.

Resumo: A inovação é um elemento fundamental para o desenvolvimento e crescimento, mas constituída por um processo demorado de acúmulo de conhecimento. Uma das formas de acelerar tal processo é por meio da transferência de tecnologia. Este artigo mapeou as particularidades da transferência de tecnologia para a vacina contra COVID-19, celebrado entre a AstraZeneca e o Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Fundação Oswaldo Cruz, bem como reconheceu os seus facilitadores, seus entraves e suas lacunas. Para tanto, foi realizada uma análise desde a etapa da seleção do parceiro mais adequado até a incorporação da nova tecnologia. A metodologia utilizada se baseou em uma ampla revisão bibliográfica sobre o tema, aliada ao estudo de caso. Os resultados apontaram que, apesar de muitas ações ainda precisarem ser realizadas para que os ganhos de capacidade tecnológica sejam potencializados, as lições aprendidas com o processo de transferência de tecnologia servirão de aprendizado e serão utilizadas nos acordos futuros e em andamento.

Innovation is an essential element for development and growth, but it consists of a long process of knowledge accumulation, so technology transfer is used to accelerate this process. This study mapped the particularities of the technology transfer process for the COVID-19 vaccine between AstraZeneca and the Institute of Technology in Immunobiologicals (Bio-Manguinhos), Oswaldo Cruz Foundation, and identified enablers, obstacles, and gaps. Our analysis investigated the process from selection of the most suitable partner to incorporation of the new technology based on a comprehensive literature review on this topic, combined with a case study. The results showed that, although many actions still have to be performed to maximize technology capacity gains, the lessons learned from the technology transfer process will be used in future and ongoing agreements.

With the exponential increase in the amount of data generated daily, the interest of organizations in developing strategies for handling Big Data has intensified. An example of Brazilian Big Data is the CNPq Lattes Platform, which allows extracting information from the curricula of researchers registered therein. One of the limitations on the platform is that the information is arranged individually for each researcher and without an indexing standard, making it impossible to extract data from researchers simultaneously. To remedy this problem, the ScriptLattes software was developed, used in the present study, to extract information from the curricula of researchers in injectable oncology, to obtain a panoramic view of their technical and scientific productions. Regarding the activities carried out by these specialists in the analyzed period, a total of: 85,465 published complete articles, 24,068 technical productions and 13,496 implemented projects were observed. Networking analyzes performed applying Gephi software pointed Dr. Fernando de Queiroz Cunha, from the Faculty of Medicine of Ribeirão Preto (USP), as the most prominent researcher in the area. Despite the limitations of the Lattes Platform, the results proved to be efficient, enabling the generation of scientific and technological knowledge in injectable oncology at various institutional levels. Con el aumento exponencial de la cantidad de datos generados diariamente, se ha intensificado el interés de las organizaciones por desarrollar estrategias para el manejo de Big Data. Un ejemplo de Big Data brasileño es la Plataforma CNPq Lattes, que permite extraer información de los currículos de los investigadores registrados en ella. Una de las limitaciones de la plataforma es que la información se ordena individualmente para cada investigador y sin un estándar de indexación, lo que hace imposible extraer datos de los investigadores simultáneamente. Para remediar este problema, se desarrolló el software ScriptLattes, utilizado en el presente estudio, para extraer información de los currículos de investigadores en oncología inyectable, con el fin de obtener una visión panorámica de sus producciones técnico-científicas. En cuanto a las actividades realizadas por estos especialistas en el período analizado, se observaron un total de: 85.465 artículos completos publicados, 24.068 producciones técnicas y 13.496 proyectos implementados. Los análisis de red realizados con la ayuda del software Gephi señalaron al Dr. Fernando de Queiroz Cunha, de la Facultad de Medicina de Ribeirão Preto (USP), como el investigador más destacado del área. A pesar de las limitaciones de la Plataforma Lattes, los resultados demostraron ser eficientes, posibilitando la generación de conocimiento científico y tecnológico en oncología inyectable en varios niveles institucionales. Com o aumento exponencial na quantidade de dados gerados diariamente, têm-se intensificado o interesse das organizações em desenvolver estratégias para o tratamento do Big Data. Um exemplo de Big Data brasileiro é a Plataforma Lattes do CNPq, que permite extrair informações dos currículos dos pesquisadores nela cadastrados. Uma das limitações na plataforma é que as informações são dispostas individualmente para cada pesquisador e sem um padrão de indexação, impossibilitando a extração dos dados dos pesquisadores simultaneamente. Para sanar tal problema, foi desenvolvido o software ScriptLattes, utilizado no presente estudo, para extrair as informações dos currículos dos pesquisadores em oncológicos injetáveis, visando obter uma visão panorâmica das produções técnicas e científicas destes. Em relação às atividades realizadas por esses especialistas no período analisado, observou-se um total de: 85.465 artigos completos publicados, 24.068 produções técnicas e 13.496 projetos implementados. As análises de rede realizadas com o auxílio do software Gephi apontaram o Dr. Fernando de Queiroz Cunha, da Faculdade de Medicina de Ribeirão Preto (USP), como o pesquisador mais proeminente na área. Apesar das limitações da Plataforma Lattes, os resultados mostraram-se eficientes, possibilitando a geração de conhecimento científico e tecnológico em oncológicos injetáveis em vários níveis institucionais.