Individual Acclimatization of Apis mellifera L. to the Thermal Homeostasis of the Colony

Bees play an important role in maintaining biodiversity by promoting the pollination of numerous plant species. Recent global climate changes are affecting the average air temperature, thereby altering the biological processes of many species. The objective of this study was to evaluate the adaptation of Apis mellifera L. bees to temperature increases and their responses to thermal homeostasis in the colony. Research was performed at the Federal University of Paraíba Laboratory of Bees using three treatments: Control, 33 °C and 40 °C. For the latter two treatments, colonies were kept in a 24 m² climate chamber with an opening at the hive entrance, giving the bees access to the outside environment. The following parameters were evaluated: difference between internal and external hive temperature, thorax surface temperature and total protein concentration in the hemolymph. Internal colony temperature varied according to the external hive temperature. Nurse bees that care for larvae exhibited higher heat production, expressed as thorax surface temperature. Total protein content in the hemolymph was highest in the 40 °C treatment and decreased with ambient temperature. External hive temperature influences internal hive temperature, and nurse bees have higher capacities for thermogenesis

GESTÃO DA INFORMAÇÃO E O SISTEMA SMART GRID: UM ESTUDO DE CASO DA UFRN

A eficiência energética é o principal foco de uma rede elétrica inteligente, que através do autogerenciamento da rede busca realizar o consumo da energia de forma ideal, reduzindo perdas desde a geração até a distribuição para o consumidor final. O presente trabalho defende que uso de tecnologia de informação e automação em redes elétricas a fim de torná-las inteligentes (Smart Grid) melhora o processo de tomada de decisão. A metodologia adotada foi uma análise conceitual a partir da hierarquia de valor dos sistemas de informação, utilizando um estudo comparativo desse tipo de tecnologia com a usada na Universidade Federal do Rio Grande do Norte. Conclui que a automação de processos aumenta a eficiência do processo, bem como a eficiência da tomada decisão, mas exige uma estratégia voltada para a gestão do conhecimento

Gestão da Informação e o Sistema Smart Grid: Um Estudo de Caso da UFRN

The energetic efficiency and the reliability in the electricity distribution are tendencies in this kind of service. The present essay advocates that the utilization of information and automation technology in electric grids, in order to make them intelligent (Smart Grid), improves the decision-making process. It was used a conceptual analysis about the information system's value hierarchy in the methodology, making a comparative study of this kind of technology with the one used at the Universidade Federal do Rio Grande do Norte. We concluded that the automation in processes improves its efficiency, as well as the efficiency in the decision-making process, but it requires a strategy that is focused in knowledge management.A eficiência energética e a confiabilidade na distribuição de energia elétrica são tendências de foco nesse tipo de serviço. O presente trabalho defende que uso de tecnologia de informação e automação em redes elétricas a fim de torná-las inteligentes (Smart Grid) melhora o processo de tomada de decisão. A metodologia adotada foi uma análise conceitual a partir da hierarquia de valor dos sistemas de informação, utilizando um estudo comparativo desse tipo de tecnologia com a usada na Universidade Federal do Rio Grande do Norte. Conclui que a automação de processos aumenta a eficiência do processo, bem como a eficiência da tomada decisão, mas exige uma estratégia voltada para a gestão do conhecimento

Atualizações e abordagens clínicas da hanseniase no âmbito dermatológico atual

A hanseníase é uma infecção granulomatosa crônica, que afeta principalmente a pele e os nervos periféricos, sendo transmitida pelas vias aéreas superiores de pessoa a pessoa através do convívio de suscetíveis com doentes bacilíferos sem tratamento. A afecção pode ser mais bem entendida se for considerada associação de duas doenças. A primeira é uma infecção crônica causada pelo Mycobacterium leprae, organismo intracelular obrigatório que induz extraordinária resposta imune nos indivíduos acometidos. A segunda é neuropatia periférica iniciada pela infecção e acompanhada por eventos imunológicos. Dessa forma, este estudo configura-se como uma revisão integrativa realizada por meio do levantamento bibliográfico nos diretórios: Google Scholare Scientific Eletronic LibraryOn-line (SciELO), com uso dos descritores DeCs (Descritores em Saúde) e o Medical Subject Headings (MeSH), nos idiomas português e inglês, com os seguintes termos: “Hanseniase”(leprosy), “infecção” (infection), “tratamento” (treatment). Desta busca, foram encontrados 150 artigos, posteriormente submetidos aos critérios de seleção. A seleção resultou em 7 artigos que foram submetidos à análise seletiva, exploratória e interpretativa no contexto do presente estudo. A partir da revisão bibliográfica dos estudos analisados, conclui-se que, de fato, a hanseniase é complexa e precisa ser mais estudada

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

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

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

Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Background Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods We used data from 1990 to 2019 on people aged 30–79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings The number of people aged 30–79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306–359) million women and 317 (292–344) million men in 1990 to 626 (584–668) million women and 652 (604–698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55–62) of women and 49% (46–52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43–51) of women and 38% (35–41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20–27) for women and 18% (16–21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings