1,038 research outputs found
Detecting wildlife trafficking in images from online platforms : A test case using deep learning with pangolin images
E-commerce has become a booming market for wildlife trafficking, as online platforms are increasingly more accessible and easier to navigate by sellers, while still lacking adequate supervision. Artificial intelligence models, and specifically deep learning, have been emerging as promising tools for the automated analysis and monitoring of digital online content pertaining to wildlife trade. Here, we used and fine-tuned freely available artificial intelligence models (i.e., convolutional neural networks) to understand the potential of these models to identify instances of wildlife trade. We specifically focused on pangolin species, which are among the most trafficked mammals globally and receiving increasing trade attention since the COVID-19 pandemic. Our convolutional neural networks were trained using online images (available from iNaturalist, Flickr and Google) displaying both traded and non-traded pangolin settings. The trained models showed great performances, being able to identify over 90 % of potential instances of pangolin trade in the considered imagery dataset. These instances included the showcasing of pangolins in popular marketplaces (e.g., wet markets and cages), and the displaying of commonly traded pangolin parts and derivates (e.g., scales) online. Nevertheless, not all instances of pangolin trade could be identified by our models (e.g., in images with dark colours and shaded areas), leaving space for further research developments. The methodological developments and results from this exploratory study represent an advancement in the monitoring of online wildlife trade. Complementing our approach with other forms of online data, such as text, would be a way forward to deliver more robust monitoring tools for online trafficking.Peer reviewe
Cocaine abuse and effects in the serum levels of cytokines IL-6 and IL-10
AbstractBackgroundCocaine abuse is capable of activating the innate immune system in the CNS resulting in deregulation of homeostasis between pro and antiinflammatory cytokines. The aim of this study was to investigate serum levels of pro and antiinflammatory cytokines, IL-6 and IL-10 respectively, in cocaine users from a young population-based sample.MethodsThis is a case–control study nested in a cross-sectional population-based survey, with individuals of 18 and 35 years old. Two groups were selected: 24 healthy controls and 12 subjects who reported cocaine use. Serum IL-6 and IL-10 were measured by ELISA using a commercial kit.ResultsThere was a statistically significant increase in IL-6 (p=0.037) and decrease in IL-10 (p=0.007) serum levels, between cocaine users and the control group. There was also an increase in the ratio IL-6/IL-10 (p=0.013) among cocaine users individuals, when compared to the control group.ConclusionsOur results suggest that cocaine users showed an activation of the immune system when compared a control group, demonstrating a disruption in the balance of pro and antiinflammatory cytokines. Thus, peripheral cytokines may represent a putative biomarkers for cocaine users, contributing to the development of diagnosis and effective treatments
Towards an airtightness compliance tool based on machine learning models for naturally ventilated dwellings
Physical models and probabilistic applications often guide the study and characterization of natural phenomena in engineering. Such is the case of the study of air change rates (ACHs) in buildings for their complex mechanisms and high variability. It is not uncommon for the referred applications to be costly and impractical in both time and computation, resulting in the use of simplified methodologies and setups. The incorporation of airtightness limits to quantify adequate ACHs in national transpositions of the Energy Performance Building Directive (EPBD) exemplifies the issue. This research presents a roadmap for developing an alternative instrument, a compliance tool built with a Machine Learning (ML) framework, that overcomes some simplification issues regarding policy implementation while fulfilling practitioners' needs and general societal use. It relies on dwellings' terrain, geometric and airtightness characteristics, and meteorological data. Results from previous work on a region with a mild heating season in southern Europe apply in training and testing the proposed tool. The tool outputs numerical information on the air change rates performance of the building envelope, and a label, accordingly. On the test set, the best regressor showed mean absolute errors (MAE) below 1.02% for all the response variables, while the best classifier presented an average accuracy of 97.32%. These results are promising for the generalization of this methodology, with potential for application at regional, national, and European Union levels. The developed tool could be a complementary asset to energy certification programmes of either public or private initiatives. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).This work was financially supported by: Base Funding - UIDB/04708/2020 and Programmatic Funding - UIDP/04708/2020 of the CONSTRUCT - Instituto de I & D em Estruturas e Construcoes - funded by national funds through the FCT/MCTES (PIDDAC). The author would like to acknowledge the support of FCT - Fundacao para a Ciencia e a Tecnologia, the funding of the Doctoral Grant PD/BD/135162/2017, through the Doctoral Programme EcoCoRe. This work is supported by the European Social Fund (ESF), through the North Portugal Regional Operational Programme (Norte 2020) [Funding Reference: NORTE-06-3559-FSE-000176]
Avaliação de banana-passa obtida de frutos de diferentes genótipos de bananeira
Industrialization can be a good option for using production surplus and fruits with poor appearance for in natura consumption, because of its capacity to extend shelf life and to aggregate value to the product. Fruits from different banana (Musa spp.) varieties obtained from breeding programs may have differentiated characteristics regarding their adaptation to a certain fruit processing. The objective of this work was to evaluate the dehydrated banana product obtained from fruits of different genotypes. The genotypes used were: Caipira; Nanica; Pacovan and its hybrids PV03-44 and PV03-76; Prata Anã and its hybrids FHIA-18, Pioneira and Prata Graúda. Antioxidant treatments were ascorbic acid (0.25%), citric acid (0.30%); and osmotic dehydration treatment was sucrose (40%, at 70°C). Dehydration was completed in a dryer with forced air circulation. Products obtained were appraised for physical, physico-chemical, chemical and sensory aspects. The highest yield was obtained with Pacovan. Dehydrated bananas produced by the genotypes studied had good sensory acceptance, with means higher than 6 for the following attributes: appearance, color, aroma, flavor and texture. Pioneira was the genotype with highest sensory acceptance.A industrialização pode ser uma opção para o aproveitamento de excedentes de produção e de frutos com aparência comprometida para consumo in natura, ao proporcionar aumento da vida-de-prateleira e agregação de valor ao produto. Frutos de diferentes variedades de bananeira (Musa spp.), obtidas em programas de melhoramento genético, podem apresentar características diferenciadas no que se refere à adequação à determinada forma de processamento. O objetivo deste trabalho foi avaliar o produto banana-passa, obtido a partir de frutos de diferentes genótipos de bananeira. Os genótipos avaliados foram: Caipira; Nanica; Pacovan e seus híbridos PV03-44 e PV03-76; Prata Anã e seus híbridos FHIA-18, Pioneira e Prata Graúda. O processamento da banana-passa incluiu a aplicação de tratamento antioxidante, com ácido ascórbico (0,25%) e ácido cítrico (0,30%), e desidratação osmótica, com sacarose (40%, a 70°C). A desidratação foi completada em secador de cabine com circulação forçada de ar. Os produtos obtidos foram avaliados quanto aos aspectos físicos, físico-químicos, químicos e sensoriais. O maior rendimento de produção foi obtido pela cultivar Pacovan. As bananas-passa tiveram boa aceitação sensorial, com médias superiores a 6 (gostei ligeiramente) para os atributos aparência, cor, aroma, sabor e textura. A Pioneira foi o genótipo com maior aceitação sensorial
Doenças infeciosas em peixes ornamentais de aquário: medidas de prevenção e controle
Peixes ornamentais de aquário representam um grande segmento no mercado de animais de estimação, no qual Estados Unidos, Europa e Japão dominam. São aproximadamente 1.500 espécies de peixes marinhos e em torno de 4.500 de espécies de água doce comercializados com fins ornamentais. O peixe é a quarta espécie mais comum nos domicílios brasileiros. Peixes ornamentais de aquário são comercializados e distribuídos em diferentes partes do território nacional e do mundo. O comércio e circulação de animais vivos sem o uso de procedimentos de manejo profilático adequados possibilita a disseminação de inúmeros agentes patogênicos. Peixes ornamentais de aquário carreiam consigo agentes patogênicos de etiologia bacteriana, viral, fúngica e parasitária, sendo alguns de caráter zoonótico colocando em riscopessoas que os manipulam. O objetivo desta revisão é apresentar os principais agentes infeciosos patogênicos - de natureza bacteriana, viral e fúngica - que acometem peixes ornamentais de aquário, bem como os métodos de prevenção e controle que permitam excelência no segmento.Aquarium ornamental pet fish constitute a major segment in the pet industry, with the United States, Europe, and Japan dominating the market. There are approximately 1,500 marine fish species and over 4,500 freshwater fish species commercialized as aquarium ornamental pet fish. Fish are the fourth most common pet present in Brazilian homes. In Brazil, aquarium ornamental pet fish can be marketed and distributed from different parts of the Brazilian territory and the world. Commercialization and circulation of living animals without the use of adequate prophylactic management procedures enables dissemination of a number of agents responsible for infectious diseases. Aquarium pet fish can also carry pathogenic agents, of bacterial, viral, fungal, or parasitic etiology, that may have a zoonotic feature endangering the persons handling the animals. This review presents the main pathogenic infectious agents of bacterial, viral, andfungal etiology that affect aquarium pet fish, as well as the prevention and control measures to ensure sanitary excellence in this segment
Entre Diálogos e Saberes Interculturais: Reflexões Sobre o II Seminário de Questões Socioambientais e Etnobiodiversidade na Amazônia
O presente artigo busca refletir sobre a experiência de organização e montagem do II Seminário de Questões socioambientais e etnobiodiversidade na Amazônia, no qual buscou-se construir um evento com a participação direta dos povos tradicionais (pescadores/pescadoras, agricultores/agricultoras, artesãs/artesãos, benzedeiras/benzedeiros, erveiros/erveiras) do nordeste paraense, a partir de relações dialógicas nas quais acadêmicos (professores e alunos pesquisadores) e povos tradicionais de modo conjunto e dialogado, debateram temas relacionados a biodiversidade de forma simétrica e horizontal em que foi possível estabelecer um debate importante sobre saberes em movimento
Artificial intelligence to growth stresses predicting in Eucalyptus clones using dendrometric variables and wood density
Eucalyptus planted forests contribute to maximizing lumber production but problems such as longitudinal growth strain can negatively influence the quality of the products. Knowing dendrometric variables and wood properties can help in the prediction of longitudinal growth strain, mainly with the help of artificial intelligence. Thus, the aim of this research was to evaluate the use of artificial neural networks to predict longitudinal growth strain in Eucalyptus trees based on dendrometric variables, spacing between trees and wood density. The longitudinal growth strain was measured in trees of four Eucalyptus clones planted in three spacings. The diameter and height of each tree were measured. The basic wood density was determined. Artificial neural networks were used to estimate longitudinal growth strain as a function of dendrometric variables, tree spacing and wood density. The results showed that the artificial neural networks presented good results for training and validation, with most of them resulting in high correlation coefficient values. The trained artificial neural networks showed a correlation coefficient above 0,56. Artificial neural networks showed that the variables clone and basic wood density were the ones that most contributed to the prediction of longitudinal growth strain. On the other hand, the spacing between trees, the height of the tree and the diameter at breast height were not relevant to predict growth stresses
CARACTERIZAÇÃO MICROESTRUTURAL DE UMA LIGA DO TIPO AUSTENO – FERRÍTICA UTILIZADA NA PRODUÇÃO DE TUBOS CONFORMADOS
Os aços inoxidáveis duplex, possuem à temperatura ambiente, estrutura bifásica ferrítico-austenítica conferindo a liga maior resistência a corrosão e oxidação com apreciável tenacidade. Nesta pesquisa, utilizou-se as técnicas metalúrgicas que garantissem a caracterização do material como recebido e também a análise do seu comportamento quando submetida ao aquecimento a temperatura elevada (1.000°C) em diferentes tempos. Foram realizadas análises por Microscopia Eletrônica de varredura (MEV) e Difração de Raios X (DRX). Os resultados confirmam o adensamento da espessura da camada oxidada com a elevação do tempo de exposição a alta temperatura
Nursing Activities Score: an updated guideline for its application in the Intensive Care Unit
Objetivo Describir la carga de trabajo de enfermería en Unidades de Cuidados Intensivos (UCI) de diferentes países según el Nursing Activities Score (NAS) y establecer una guía estandarizada para su utilización en UCI. Método estudio observacional en 19 UCIs de siete países (Noruega, Países Bajos, España, Polonia, Egipto, Grecia y Brasil) incluyendo 758 pacientes adultos en Noviembre de 2012. Resultados La puntuación media total en la escala NAS fue de 72.81% com valores entre 44.46% (España) y 101.8% (Noruega). Las medias NAS en Polonia, Grecia y Egipto fue de 83.0%, 64.59% y 57.11% respectivamente. El NAS medio fue similar en Brasil (53.98%) y los Países Bajos (50.96%). De los 23 ítems de la escala hubo problemas en la interpretación de 5 de ellos (21.74%). Este problema se resolvió mediante el consenso entre los investigadores. Conclusión El presente estudio demuestra variación en la carga de trabajo en UCI de diferentes países. La guía estandarizada de puntuación del NAS puede servir como una herramienta para resolver dudas en futuras aplicaciones.Objetivo Descrever a carga de trabalho de enfermagem em Unidades de Terapia Intensiva (UTI) de diferentes países, segundo o Nursing Activities Score (NAS), e padronizar o manual do NAS para uso nessas Unidades. Método Estudo transversal realizado em 19 UTI de sete países (Noruega, Holanda, Espanha, Polônia, Egito, Grécia e Brasil) com um total de 758 pacientes adultos, em novembro de 2012. Resultados A média do NAS total da amostra foi 72.81%, com variação entre 44.46% (Espanha) e101.81% (Noruega). Nas UTI da Polônia, Grécia e Egito, as médias foram de 83.00%, 64.59% e 57.11%, respectivamente. As médias NAS no Brasil (53.98%) e na Holanda (50,96%) foram similares. Dos 23 itens da escala, houve dúvidas no entendimento de 5(21.74%), que foram solucionados por consenso entre os pesquisadores. Conclusão O estudo mostrou diferentes cargas de trabalho de enfermagem nas UTI estudadas. Um manual padronizado do NAS para uso nessas unidades contribuirá para sanar dúvidas em futuras aplicações.Objective To describe nursing workload in Intensive Care Units (ICU) in different countries according to the scores obtained with Nursing Activities Score (NAS) and to verify the agreement among countries on the NAS guideline interpretation. Method This cross-sectional study considered 1-day measure of NAS (November 2012) obtained from 758 patients in 19 ICUs of seven countries (Norway, the Netherlands, Spain, Poland, Egypt, Greece and Brazil). The Delphi technique was used in expertise meetings and consensus. Results The NAS score was 72.8% in average, ranging from 44.5% (Spain) to 101.8% (Norway). The mean NAS score from Poland, Greece and Egypt was 83.0%, 64.6% and 57.1%, respectively. The NAS score was similar in Brazil (54.0%) and in the Netherlands (51.0%). There were doubts in the understanding of five out 23 items of the NAS (21.7%) which were discussed until researchers’ consensus. Conclusion NAS score were different in the seven countries. Future studies must verify if the fine standardization of the guideline can have a impact on differences in the NAS results
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