O impacto da pandemia no desempenho de monitores de anatomia em processos de seleção de bolsas de uma instituição pública / The impact of the pandemic on the performance of anatomy monitors in scholarship selection processes at a public institution

Os processos seletivos de monitores da instituição pública federal são realizados no início de cada semestre letivo com avaliação prática e teórica do desempenho dos estudantes aptos a serem monitores de anatomia e neuroanatomia humana. Com isso, o objetivo do presente estudo foi avaliar o desempenho cognitivo dos estudantes candidatos ao processo seletivo de monitoria de anatomia e neuroanatomia humana entre os anos de 2018 e 2022. Nesse viés, o estudo em questão identificou o impacto negativo do ensino remoto durante a pandemia do Coronavírus nos anos de 2020 e 2021. Desse modo, a análise verificou que apesar dos esforços dispendidos com o uso de tecnologias, metodologias ativas de ensino aprendizagem, estudo híbrido com aulas síncronas e assíncronas, os estudantes que participaram do processo seletivo presencial no ano de 2022 demonstraram desempenhos piores em comparação com os estudantes que participaram dos processos seletivos presenciais entre os anos de 2018 a 2019. Depreende-se, então, que o ensino presencial de anatomia humana é essencial para o bom aprendizado dos conteúdos abordados na unidade curricular do curso de medicina da instituição pública avaliada

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

ATLANTIC-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 The Ecological Society of Americ

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

Anxiety and depression disorders in oncological patients under palliative care at a hospital service: a cross-sectional study

Abstract Background This study aimed to evaluate the risk and protective factors associated with anxiety and depression symptoms in cancer patients at an advanced stage of cancer. Methods A cross-sectional study was conducted on patients with advanced cancer who were receiving palliative care. Cancer patients aged 18 years or older, with preserved cognitive function who completed the questionnaires were eligible. The questionnaires of Hospital Anxiety and Depression Scale (HADS) and health related of quality of life questionnaire; the European Organization for Research and Treatment of Cancer (EORTC-C30) were applied. Outcome variables were the depression and anxiety symptoms of cancer patients under palliative care, according to the answers to the 14 items that make up the HADS Scale. The analysis used the R software, version 4.2.0. Results Seventy cancer patients with advanced cancer were included. The colon was the most common neoplastic diagnostic (20%), followed by breast (12.9%) and lung (10%). The prevalence of depression was 44.3%, 25.7% anxiety and 52.9% had both symptoms. Patients with a high level of functionality had a lower chance of anxiety (OR = 0.80;p = 0.025), depression (OR = 0.82; p = 0.007), and anxiety and depression (OR = 0.82p = 0.008). We observed a lower chance of depression and depression/anxiety who showed a high level of Overall Performance. Three symptoms increased the chance of depression/anxiety: nausea/vomiting (p = 0.019), fatigue (0.031), loss of appetite (0.048). Conclusion This study found high prevalence of anxiety and depression.Better quality of life and functionality were negatively associated with these outcomes. Examining the patient’s functions will assist the clinician in alleviating symptoms of anxiety and depression, giving cancer patients in palliative care more dignity. Trial registration Not applicable

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data