Artigos Acadêmicos e Noticiosos
URI permanente desta comunidadehttps://repositorio.insper.edu.br/handle/11224/3226
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- Analytical definitions of connectivity, incidence and node matrices for t-struts tensegrity prisms(2024) Paiva, Victor A.S.M.; Kurka, Paulo R.G.; Izuka, Jaime H.Regular tensegrity prism modules are widely used by researchers. Numerous research articles combine them to form grids and towers under various assembly strategies. Most of them define connectivity and node matrices that satisfy their structures as a whole, but a general definition for the basic modules has not been formally reported. This paper formalizes sets of definitions for the connectivity, incidence, and node matrices that are valid for any tensegrity prism formed by four struts or more. The definitions are based on geometry and provide simple and general formulations by applying floor and ceiling operators. Both clockwise and counterclockwise rotated modules are covered.
Artigo Científico Beyond the Agreement: Dilemmas in Contracting for the Transfer of Management Practices(2022) SANDRO CABRAL; SERGIO GIOVANETTI LAZZARINI; Domingos, Fernando Deodato; RICARDO PAES DE BARROSArtigo Científico Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis(2016) Sato, João Ricardo; Balardin, Joana; MACIEL CALEBE VIDAL; André FujitaBackground: Several neuroimaging studies support the model of abnormal development of brain connectivity in patients with autism-spectrum disorders (ASD). In this study, we aimed to test the hypothesis of reduced functional network segregation in autistic patients compared with controls. Methods: Functional MRI data from children acquired under a resting-state protocol (Autism Brain Imaging Data Exchange [ABIDE]) were submitted to both fuzzy spectral clustering (FSC) with entropy analysis and graph modularity analysis. Results: We included data from 814 children in our analysis. We identified 5 regions of interest comprising the motor, temporal and occipito-temporal cortices with increased entropy (p < 0.05) in the clustering structure (i.e., more segregation in the controls). Moreover, we noticed a statistically reduced modularity (p < 0.001) in the autistic patients compared with the controls. Significantly reduced eigenvector centrality values (p < 0.05) in the patients were observed in the same regions that were identified in the FSC analysis. Limitations: There is considerable heterogeneity in the fMRI acquisition protocols among the sites that contributed to the ABIDE data set (e.g., scanner type, pulse sequence, duration of scan and resting-state protocol). Moreover, the sites differed in many variables related to sample characterization (e.g., age, IQ and ASD diagnostic criteria). Therefore, we cannot rule out the possibility that additional differences in functional network organization would be found in a more homogeneous data sample of individuals with ASD. Conclusion: Our results suggest that the organization of the whole-brain functional network in patients with ASD is different from that observed in controls, which implies a reduced modularity of the brain functional networks involved in sensorimotor, social, affective and cognitive processing.Artigo Científico A Statistical Method to Distinguish Functional Brain Networks(2017) Fujita, André; MACIEL CALEBE VIDAL; Takahashi, Daniel Y.One major problem in neuroscience is the comparison of functional brain networks of different populations, e.g., distinguishing the networks of controls and patients. Traditional algorithms are based on search for isomorphism between networks, assuming that they are deterministic. However, biological networks present randomness that cannot be well modeled by those algorithms. For instance, functional brain networks of distinct subjects of the same population can be different due to individual characteristics. Moreover, networks of subjects from different populations can be generated through the same stochastic process. Thus, a better hypothesis is that networks are generated by random processes. In this case, subjects from the same group are samples from the same random process, whereas subjects from different groups are generated by distinct processes. Using this idea, we developed a statistical test called ANOGVA to test whether two or more populations of graphs are generated by the same random graph model. Our simulations' results demonstrate that we can precisely control the rate of false positives and that the test is powerful to discriminate random graphs generated by different models and parameters. The method also showed to be robust for unbalanced data. As an example, we applied ANOGVA to an fMRI dataset composed of controls and patients diagnosed with autism or Asperger. ANOGVA identified the cerebellar functional sub-network as statistically different between controls and autism (p < 0.001).Artigo Científico Assets of foreignness in a regulated industry(2024) Santos, Leonardo Nery dos; Sheng, Hsia Hua; ADRIANA BRUSCATO BORTOLUZZOPurpose – Foreign subsidiaries incur substantial institutional conformity costs because they have to respond to host-country institutional pressures (Slangen & Hennart, 2008). The purpose of this paper is to study this type of cost from institutional and regulatory perspectives. The authors argue that these costs decrease when the host country adopts concepts of international regulations that multinationals may be familiar with due to their own home country regulation experience. This prior regulatory experience gives foreign subsidiaries an advantage of foreignness (AoF), which can offset their liability of foreignness (LoF). Design/methodology/approach – This study compared the returns on assets of 35 domestic firms with those of foreign subsidiaries in the Brazilian energy industry between 2002 and 2021, using regression dynamic panel data. Findings – The existence of a relationship between the international regulatory norm and the Brazilian regulator has transformed the LoF into an advantage of foreignness to compete with local energy firms. The results also suggest that the better the regulatory quality of the subsidiary’s country of origin, the better its performance in Brazil, as it can reduce compliance costs. Finally, the greater the psychic distance between Brazil and the foreign subsidiary’s home country, the worse its performance. Research limitations/implications – The research suggests that one of the keys to competitiveness in host countries is local regulatory ties. Prior international regulatory experience gives foreign subsidiaries an asset of foreignness (AoF). This result complements the current institutional and regulatory foreignness studies on emerging economies (Cuervo-Cazurra & Genc, 2008; Mallon et al., 2022) and the institutional asymmetry between home and host country (Mallon & Fainshmidt, 2017). Practical implications – This research suggests that one of the keys to competitiveness in host countries is local regulatory ties. Prior international regulatory experience gives foreign subsidiaries an asset of foreignness (AoF). This result complements the current institutional and regulatory foreignness studies on emerging economies (Cuervo-Cazurra & Genc, 2008; Mallon et al., 2022) and the institutional asymmetry between home and host country (Mallon & Fainshmidt, 2017). The practical implication is that the relationship between conformity costs, capital budget calculation and strategic planning for internationalization will be related to the governance quality of the home country of multinationals. The social implication is that a country interested in attracting more direct foreign investment to areas that need foreign technology transfer and resources may consider adopting international regulatory standards. Social implications – The social implication is that a country interested in attracting more direct foreign investment to areas that need foreign technology transfer and resources may consider adopting international regulatory standards. Originality/value – This research discuss firm and local regulator tie is one of core competitiveness in host countries (Yang and Meyer, 2020). This study also complements the current institutional and regulatory foreignness studies in emerging economy (Cuervo-Cazurra & Genc, 2008; Mallon et al., 2022). Second, prior regulatory experience of multinational enterprise in similar environment can affect its foreign affiliate performance (Perkins, 2014). Third, this study confirms current literature that argues that knowledge and ability to operate in an institutionalized country can be transferred from parent to affiliate. In the end, this study investigates whether AoF persists when host governments improve the governance of their industries.Artigo Científico Roads, transit and spatial patterns of urbanization in São Paulo: Evidence from the second half of the twentieth century(2025) Zegras, P. Christopher; ADRIANO BORGES FERREIRA DA COSTA; Zheng, SiqiThis article presents evidence of distinct long-term impacts from road and rail infrastructures on urban outgrowth and densification in São Paulo, Brazil (1947–1997) within a Global South context. Using long-difference ordinary least squares models and an instrumental variable approach, we find that the construction of avenues and arterial roads across urbanized areas drove urban expansion and accounted for forty percent of the outgrowth during this 50-year period. In contrast, rail transit investments fostered vertical neighborhood development responsible for one-third of the increase in floor area ratio, while also promoting land use specialization by attracting commercial buildings to central areas and stimulating residential real estate development in peripheral zones. Our findings align with patterns observed in the Global North, reinforcing the broader relationship between transportation investments and urban form.Artigo Científico Global Events Demand Global Data: COVID-19 Crisis Responses and the Future of Selling and Sales Management Around the Globe(2024) Rouziou, Maria; Bolander, Willy; Karen Peesker; Hautamäki, Pia; Rangarajan, Deva; Samaraweera, Manoshi; Bullemore, Jorge; Klein, Michel; Agnihotr, Raj; Jensen, Karina Burgdorff; Fournier, Christophe; DANNY PIMENTEL CLARO; Gonzalez, Gabriel R.; Guenzi, Paolo; Kadić-Maglajlić, Selma; Lai-Bennejean, Christine; Palomino-Tamayo, Walter; Ryals, Lynette; CARLA SOFIA DIAS MOREIRA RAMOS; Salas, Jim; Shi, Huanhuan; Squire, Philip; Westphal, JörgIn the context of the global crisis presented by the COVID-19 pandemic, the authors investigate the perspectives of sales managers regarding their organizations’ responses to the crisis and future expectations in a post-COVID-19 world. While there has been much discussion about these topics in the sales literature, very little research has examined them globally by collecting data from many nations and across many continents. Yet, how can global events be understood without analyzing global data? In response, the authors convened the first, to their knowledge, global data coalition by hosting video-recorded group interviews with 76 sales executives representing 27 nations. This inductive investigation, informed by institutional logics, reveals how organizations accepted new norms, retained old ones, or blended the old with the new in response to the crisis. The results simultaneously validate certain emerging concepts on a global scale (e.g., customer success management, bricolage) and give rise to several insights not currently detailed by extant scholarship (e.g., localization, cultural cringe). This work also catalyzes new, relevant avenues for international research and sheds light on issues facing sales practice globally.Artigo Científico Private ownership of water and wastewater systems: Assessing health impacts(2025) Chaves, Rodrigo França; ADRIANO BORGES FERREIRA DA COSTAThis study examines the impact of private ownership of water and wastewater systems on disease reduction linked to sanitation in Brazil from 1998 to 2021. It updates Saiani and de Azevedo (2018), which analyzed the period 1995–2008, by incorporating over a decade of additional data, key policy changes such as the 2020 Sanitation Law, and employing the Callaway–Sant’Anna Staggered DID methodology to address heterogeneity in treatment effects. Our findings reveal mixed results: while some municipalities achieved reductions in morbidity rates, others showed no change or increases, underscoring the context-dependent nature of privatization outcomes. A notable example is the case of Tocantins, where transitioning from a hybrid private-state model to full private ownership led to a significant decrease in disease morbidity, particularly among the most affected age groups. These advancements provide a robust, updated perspective on the privatization debate, offering valuable implications for policy and practice.Artigo Científico A systematic literature review of citizen science in urban studies and regional urban planning: policy, practical, and research implications(2025) Beck, Donizete; Mitkiewicz, JulianaCitizen Science (CS) has been useful in research development and policymaking, where laypeople contribute to collecting and/or analyzing data. With the technological advancement of smart cities and data analysis techniques, CS helps foster efficient/sustainable cities and data-driven decision-making. However, more effort is needed to make CS more accessible for urban scholars and practitioners. Thus, we provided a comprehensive overview of CS in Urban Studies and Regional Urban Planning (USRUP) by revealing the main thematic/method approaches, stakeholder roles, socioeconomic/environ mental/policy impacts, limitations, best practices, and cases. Thus, we performed a Systematic Literature Review on CS in USRUP using the PRISMA Guidelines of 94 studies collected from the Web of Science Core Collection, published by 2023. Our key findings underscore the practical uses of diverse methodologies and approaches employed in CS projects, emphasizing their potential to enhance urban research and policymaking. The core socioeconomic impacts of CS projects are fostering community empowerment, engagement, and educational opportunities. The main environmental impacts are enhancing monitoring capabilities, improving ecosystem service assessments, and supporting adaptive management practices. As for urban planning and policies, CS projects can foster data-driven planning, urban sustainability, urban resilience, healthier cities, and social equity. CS challenges include data quality and consistency, the digital divide, and the need for sustained funding. Best practices have included clear communication, standardized protocols, and strong community engagement. Further developments should involve citizens in more analytical roles (rather than merely instrumental ones, like data collection) in CS projects and explore CS in social urbanism for transforming vulnerable communities.Artigo Científico 1st Industrial Marketing Management (IMM) South America Summit (2nd - 4th October 2024)(2024) CARLA SOFIA DIAS MOREIRA RAMOS; DANNY PIMENTEL CLARO; Lindgreen, Adam; Benedetto, C. Anthony DiThe 1st Industrial Marketing Management South America Summit seeks to unite academics and practitioners from South America, as well as other regions, who share an interest in business-to-business marketing, with the goal of creating and/or strengthening collaborative research networks. This summit also intends to continue the tradition established by the European and American Industrial Marketing Management summits, which includes promoting discussions, sharing cutting-edge research, and enhancing the effectiveness and efficiency of industrial markets on a global scale. The event will display recent developments in both theory and practice within the realm of global industrial and business-to business marketing. Leveraging the success of past summits and the rich heritage of Industrial Marketing Management, this gathering assures dynamic conversations, visionary insights, and effective answers.