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Nanotechnology has emerged as a promising tool in the clinic to combat several difficult-to-manage diseases, such as cancer, which is the second leading cause of death worldwide. Chemotherapeutic drugs present several limitations such as undesired side effects, low specificity, resistance, and high relapse rates. Triple negative breast cancer (TNBC) is caused by cells that lack specific receptors in their membrane, such as estrogen (ER+) and progesterone (PR+) receptors, or by cells that do not express the amplification of human epidermal growth factor receptor-2 (HER-2+). This cancer type has poor prognosis, high relapse rates, and no targeted therapies. Thus, this study aimed to investigate the trends of nanotechnology research in TNBC and compare the contribution of research from different regions, institutions, and authors. A search of the studies published between 2012 and 2017, related to nanotechnology and TNBC, with different keyword combinations, was performed in the Scopus database. The keywords found in this search were grouped into four clusters, in which “breast cancer” was the most mentioned (1,133 times) and the word “MCF-7 cell line” is one of the latest hotspots that appeared in the year 2016. A total of 1,932 articles, which were cited 26,450 times, were identified. The USA accounted for 28.36% of the articles and 27.61% of the citations; however, none of its centers appeared in the list of 10 most productive ones in terms of publications. The journals Biomaterials and International Journal of Nanomedicine had the highest number of publications. The USA and China had the highest number of articles produced and cited; however, the highest average citation per article was from Singapore. The studies focused on the research of antineoplastic agents in animal models and cell culture, and these were the most used topics in research with nanotechnology and TNBC.

Palavras-chave: Análise por Envoltória de Dados (DEA); Análise em janela; Complexidade econômica; Economic Complexity Index (ECI); Desenvolvimento humano.Abstract: Economic growth is not the only factor to explain human development. Therefore, many authors have prioritized studies to measure the Human Development Index. However, these indexes do not analyze how Economic Complexity can increase Human Development. This paper aimed to determine how efficiently nations from Latin America and Asia measure a country's performance in converting Economic Complexity into Human Development, between 2010 and 2014. We used Data Envelopment Analysis (DEA), through the Variable Returns of Scale (VRS) Model and Window Analysis. Results showed that in 2014, all Asian countries, except China and the Philippines, were efficient; on the other hand Cuba was the benchmark for inefficient countries. Window Analysis showed Japan, South Korea and Singapore were efficient over time. This result confirms the initial hypothesis of this article: the more complex countries are the more efficiently they create Human Development.

No abstract

There is much discussion on the non-linear relationship between economic growth and carbon dioxide (CO2) emissions. Additionally, the effects of Foreign Direct Investment (FDI) on the environment are ambiguous, as both beneficial (i.e., pollution-halo) and harmful (i.e., pollution-haven) effects were found. Therefore, the literature presents no consensus on either of these topics. This is especially problematic for developing regions, as these regions represent growing economies interested in receiving foreign investments, and their CO2-related research is limited. This study aims to understand the impacts of economic growth and FDI on the CO2 emissions of São Paulo state, Brazil. To perform this study, a unique dataset on regional FDI was built, and 592 municipalities were included. The analyses combine linear and non-linear estimations, and the results suggest a non-linear relationship between Gross Domestic Product (GDP) per capita and CO2 emissions, along with a negative association between FDI and CO2. Finally, this study discusses possible policy implications and contributes to the international literature.

Despite great developmental efforts in recent decades, Latin America still presents high levels of poverty and inequality when compared to developed nations. As explored widely in the literature, one potential instrument to diminish these issues is financial inclusion, including the access and usage of financial services by all people. Specifically, this paper verifies if financial inclusion and technology adoption decrease the poverty headcount ratio and the Gini index (i.e., inequality) of 13 Latin America countries (Argentina, Bolivia, Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Honduras, Panama, Paraguay, Peru, and Uruguay). To perform such analysis, an unbalanced panel dataset was built, and the Feasible Generalized Least Squares (FGLS) and the Limited Information Maximum Likelihood (LIML) techniques were employed. The results suggest that, in accordance with previous studies, financial inclusion is a powerful tool to tackle poverty and inequality. Additionally, the combined effects of financial inclusions and technology (i.e., mobile use) are also capable of decreasing the poverty and inequality levels. We discuss the policy implications of our findings and suggest a future research agenda.

Objectives: To explore the socioeconomic, demographic and psychosocial factors associated with cognitive performance in elderly caregivers from Brazil. Methods: We evaluated 351 Brazilian elderly caregivers attending primary healthcare services regarding sociodemographic and care variables. Addenbrooke's Cognitive Examination-Revised (ACE-R) domains of orientation/attention, memory, verbal fluency, language and visuospatial were used as dependent variables in the Tobit model. Results: Literacy and family income were positively associated with all ACE-R domains. Age, gender, time of care (days/week) were negatively associated with some cognitive domains. Moreover, receiving emotional help and the level of hope were positively associated with specific domains. Discussion: The results may be useful for planning interventions aimed at elderly caregivers in order to prevent deficits in the different cognitive domains.

Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufficient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These findings reveal that the heterogeneity of microregions’ hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.