The scientific performance of Portuguese pharmaceutical industry: a bibliometric analysis

The premise that leads to this investigation is that Portuguese pharmaceutical industry offers new solutions and brainpower. As this sector is usually linked to innovation and scientific progress as a way to increase competitiveness we believed that Portuguese pharmaceutical industry was more than a simple production facilities. This thesis main objective is to evaluate the scientific performance based on both qualitative and quantitative measures applying bibliometric methods. Using Scopus database, we restricted the scope of analysis to articles or reviews published in peer reviewed scientific journals in the period between 2000 and 2016. This search retrieved 435 documents, from which 94% were articles and the rest 6% reviews. We were able to define some patterns of publication among the 10 Portuguese companies considered. As expected, Bial is, by far, the company with more published articles or reviews (243), followed by Bluepharma with about one third of the documents (69 – from which 80% were published after 2011). Most of the collaborations were with national universities and most of the authors were also Portuguese enhancing the focus on national brain-power. In what concerns to quantity and quality, the total publication growth between 2008-2009, 2011- 2012 and 2014-2015 outstands among the rest of the years and the increasing quality of the journals used by Bluepharma and Hovione and the consequent growing of their citation impact should be hilighted.A premissa que leva a esta investigação é que a indústria farmacêutica portuguesa oferece novas soluções e capacidade intelectual. Estando este setor intimamente ligado à inovação e ao progresso científico como forma de aumentar a competitividade, acreditamos que a indústria farmacêutica portuguesa é mais do que simples instalações produtivas. O objetivo principal desta tese é avaliar o desempenho científico com base em medidas qualitativas e quantitativas aplicando métodos bibliométricos. Usando a base de dados Scopus, restringimos o espectro de análise a artigos ou revisões publicados em revistas científicas revistas por pares, no período compreendido entre 2000 e 2016, sendo apresentados 435 documentos, dos quais 94% eram artigos e as restantes revisões de 6%. Foi possível definir alguns padrões de publicação entre as 10 empresas portuguesas consideradas. Como esperado, a Bial é, de longe, a empresa com mais artigos ou revisões publicados (243), seguido da Bluepharma com cerca de um terço dos documentos (69 - dos quais 80% foram publicados depois de 2011). A maioria das colaborações encontradas foram com universidades nacionais e a maioria dos autores também eram portugueses realçando a aposta no capital intelectual nacional. No que diz respeito à quantidade e à qualidade, o crescimento total do número de publicações entre 2008-2009, 2011-2012 e 2014-2015 destaca-se entre o resto dos anos e a crescente qualidade das revistas utilizadas pela Bluepharma e Hovione e o consequente crescimento do número de citações por artigo deve também ser enaltecido

Impacto da pandemia de covid-19 na população indígena: as dificuldades enfrentadas pelo enfermeiro frente ao impacto social do SARS-CoV-2 relacionado à população indígena.

Gather scientific evidence from 2018 to 2021 regarding the impact of the pandemic on the indigenous population and the nurses' approach to providing care to this population in the face of the coronavirus pandemic. A search was carried out for publications obtained in the following databases: ARCA, VHL, SciELO and Scholar Google. The descriptors of Coronavirus, indigenous population and nursing were used. In conclusion, the importance of enabling access for health promotion, as well as training for nurses to act in the face of the COVID-19 pandemic.  Reunir comprovações científicas a partir do ano de 2018 ao ano de 2021 no que se refere ao impacto da pandemia na população indígena e o enfrentamento do enfermeiro para a realização do cuidado dessa população frente à pandemia do coronavírus. Foi realizado a busca de publicações obtidas nas bases de dados: ARCA, BVS, SciELO e Scholar Google. Foram utilizados os descritores de Coronavírus, população indígena e enfermagem. Conclui-se, a importância de possibilitar o acesso para a promoção à saúde, assim como a capacitação para a atuação do enfermeiro frente à pandemia do COVID-19

Alterações cognitivas na infecção pelo HIV: uma revisão sistemática: Cognitive changes in HIV infection: a systematic review

Provocada pelo vírus da imunodeficiência humana, com a síndrome da imunodeficiência adquirida, numa pessoa tem o seu sistema imunológico prejudicado, tornando-se suscetível a outras doenças e infecção. Tem-se a estimativa de que 50% dos infectados com o referido vírus podem sofrer alterações cognitivas. Diante disso, este estudo tem como objetivo refletir sobre mudanças estruturais cerebrais e comprometimento cognitivo em pacientes com HIV. Portanto, trata-se de uma revisão sistemática de literatura, desenvolvida a partir da seleção de estudos nas bases de dados Scielo, Pubmed e BVS/Medline a partir do uso de descritores DeCS/MeSH e aplicação de critérios de inclusão e exclusão. Após a análise e interpretação dos dados, concluiu-se que há uma significativa prevalência de HAND em adultos infectados por HIV, no que se refere a alterações cognitivas, especialmente entre pacientes do sexo feminino, de baixa escolaridade e renda, com diagnóstico tardio e baixa quantidade de linfócitos CD4 no início do tratamento. Entre essas pessoas, revelam-se comprometimentos quanto à memória, atenção, controle de impulsos, velocidade de processamento e motora, dentre outros

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost