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

Assessment of bone craniofacial measurements using multislice 3D-CT

O objetivo deste trabalho foi avaliar a precisão e acurácia (validade) de medidas ósseas lineares crânio-faciais por meio de reconstruções em terceira dimensão (3D), pela técnica de volume, a partir da tomografia computadorizada (TC) multislice. O material da pesquisa consistiu de 10 (dez) crânios secos, os quais foram submetidos à tomografia computadorizada multislice 16 cortes com 0.5 mm de espessura por 0.3 mm de intervalo de reconstrução. Os dados obtidos foram enviados para uma estação de trabalho independente com o programa Vitrea®. Pontos crânio-faciais foram localizados e medidas lineares foram realizadas por 02 examinadores, previamente treinados, medindo cada um duas vezes, independentemente em 3D. As medidas físicas foram obtidas por um terceiro examinador utilizando um paquímetro digital. A análise dos dados foi feita mediante um estudo comparativo entre as medidas inter- e intra-examinadores, em 3D-TC, e entre estas e as medidas físicas obtidas diretamente nos crânios, utilizando ANOVA (análise de variância). Não foram encontradas diferenças estatisticamente significantes entre as medidas inter e intra-examinadores, nem entre as medidas físicas em 3D, com p>0,6. Em conclusão, todas as medidas lineares crânio-faciais foram consideradas acuradas e precisas utilizando a técnica de volume em 3D por meio da TC multislice.This research objectives the assessment of the precision and accuracy (validity) of the linear craniofacial measurements in three-dimensional reconstructed volume rendered images (3D) using a multislice computed tomography (CT). The study population consisted of 10 (ten) dry skulls, previously selected, without distinction of ethnic group and sex, which were submitted to a multislice CT 16 slices using 0.5 mm of slice thickness and 0.3 mm of interval of reconstruction. Subsequently the data were sent to an independent workstation with Vitrea software. Conventional craniofacial points were localized and linear measurements were obtained by 02 examiners, previously calibrated, twice each, independently, in 3D images. The physical measurements were obtained by a third examiner using a digital caliper. The data analysis was carried out, regarding to inter and intra examiner, in 3D-CT, and between image and physical measurements from dry skulls, using ANOVA (analysis of variance). There were also no statistically significant differences between imaging and physical measurements with p>0.6 for all measurements. In conclusion, all the linear craniofacial measurements were considered accurate and precise using a 3D volume rendering technique by multislice CT

Impact of Image Filters and Observations Parameters in CBCT for Identification of Mandibular Osteolytic Lesions

The aim of this study was to analyze the influence of filters (algorithms) to improve the image of Cone Beam Computed Tomography (CBCT) in diagnosis of osteolytic lesions of the mandible, in order to establish the protocols for viewing images more suitable for CBCT diagnostics. 15 dry mandibles in which perforations were performed, simulating lesions, were submitted to CBCT examination. Two examiners analyzed the images, using filters to improve image Hard, Normal, and Very Sharp, contained in the iCAT Vision software, and protocols for assessment: axial; sagittal and coronal; and axial, sagittal and coronal planes simultaneously (MPR), on two occasions. The sensitivity and specificity (validity) of the cone beam computed tomography (CBCT) have been demonstrated as the values achieved were above 75% for sensitivity and above 85% for specificity, reaching around 95.5% of sensitivity and 99% of specificity when we used the appropriate observation protocol. It was concluded that the use of filters (algorithms) to improve the CBCT image influences the diagnosis, due to the fact that all measured values were correspondingly higher when it was used the filter Very Sharp, which justifies its use for clinical activities, followed by Hard and Normal filters, in order of decreasing values

Aplicação de medidas cefalométricas em 3D-TC: Application of cephalometric measurements in 3D-TC

OBJETIVO: o objetivo desta pesquisa foi avaliar a precisão e acurácia (validade) de medidas cefalométricas lineares em imagens reconstruídas em terceira dimensão (3D), pela técnica de volume, a partir da tomografia computadorizada (TC) multislice. METODOLOGIA: o material da pesquisa consistiu de 10 (dez) crânios secos, previamente selecionados, sem distinção de etnia ou gênero, os quais foram submetidos à TC multislice 16 cortes com 0,5mm de espessura por 0,3mm de intervalo de reconstrução. Posteriormente, os dados obtidos foram enviados para uma estação de trabalho independente, contendo o programa Vitrea®. Os pontos cefalométricos (n=13) foram localizados e as respectivas medidas ósseas lineares (n=15) foram realizadas por 2 examinadores, previamente treinados, medindo cada um duas vezes, independentemente, em 3D. As medidas físicas foram obtidas por um terceiro examinador, utilizando um paquímetro digital. A análise dos dados foi realizada mediante um estudo comparativo entre as medidas inter e intra-examinadores, em 3D-TC, e entre estas e as medidas físicas obtidas diretamente nos crânios, utilizando ANOVA (análise de variância). RESULTADOS: não foram encontradas diferenças estatisticamente significantes entre os valores das medidas inter e intra-examinadores, nem entre as medidas físicas e em 3D, com p>0,6 para todas as medidas. O erro percentual foi de 2,05% para as medidas interexaminadores e de 2,11% para as medidas intra-examinadores. A média do erro percentual entre as medidas físicas e em 3D variou de 0,96% a 1,47%. CONCLUSÃO: todas as medidas cefalométricas lineares foram consideradas precisas e acuradas utilizando a técnica de volume em 3D por meio da TC multislice.<br>AIM: To test the precision and accuracy of conventional linear cephalometric measurements in 3D reconstructed images using a multislice CT. METHODS: The study population consisted of 10 dry skulls, previously selected, without distinction of ethnic group and sex, which were submitted to a multislice CT 16 slices using 0.5mm of slice thickness and 0.3mm of interval of reconstruction. Subsequently the data was sent to an independent workstation. Conventional craniofacial landmarks (n=13), usually applied to facial orthopedic and orthodontic treatment planning, were localized and linear measurements (n=15) were obtained by 2 radiologists, twice each, independently, in 3D-CT images. In total 600 measurements were made. The correspondent physical measurements were obtained by a third examiner using a digital caliper. Statistical evaluation of the measurements was carried out regarding to inter and intra-examiner, in 3D-CT, and between image and physical measurements from dry skulls, using analysis of variance. RESULTS AND CONCLUSIONS: There were no statistically significant differences between inter and intra-examiner measurements or between imaging and physical measurements. The results also showed an inter-examiner variability error of 2.05%, and an intra-examiner variability error of 2.11%. There were also no statistically significant differences between imaging and physical measurements with p>0.6 for all measurements. The mean difference was from 0.96% to 1.47% for all measurements. The validity of linear cephalometric measurements was established using 3D volume rendering from a multislice CT with high precision and accuracy

Seminário de Dissertação (2024)

Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022) Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=

O Protagonismo Infantojuvenil nos Processos Educomunicativos

Neste volume “O protagonismo infantojuvenil nos processos educomunicativos”, reunimos 53 artigos que transitam sobre a temática do protagonismo infantojuvenil em diversas experiências e processos educomunicativos e para facilitar sua leitura e busca por temas de seu interesse, eles estão organizados em 8 capítulos que abordam a educomunicação a partir do fazer das crianças e da apropriação da produção midiática.&nbsp;Expressão artística, rádio, vídeo, jornalismo, cultura digital, redes sociais entre outros são os temas abordados pelos autores destes trabalhos. convidamos o leitor&nbsp;a mergulhar nesta jornada educomunicativa, vivendo e revivendo junto conosco essas experiências vividas por outros, refletindo em cada texto sobre como estamos, como evoluímos e como seguimos os passos daqueles que com sua ousadia, amor e luta elaboraram os fundamentos da educomunicação

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved