A ubiquitous service-oriented automatic optical inspection platform for textile industry

Within a highly competitive market context, quality standards are vital for the textile industry, in which related procedures to assess respective manufacture still mainly rely on human-based visual inspection. Thereby, factors such as ergonomics, analytical subjectivity, tiredness and error susceptibility affect the employee's performance and comfort in particular and impact the economic healthiness of each company operating in this industry, generally. In this paper, a defect detection-oriented platform for quality control in the textile industry is proposed to tackle these issues and respective impacts, combining computer vision, deep learning, geolocation and communication technologies. The system under development can integrate and improve the production ecosystem of a textile company through a properly adapted information technology setup and associated functionalities such as automatic defect detection and classification, real-time monitoring of operators, among others.This work was financed by the project “Smart Production Process” (No. POCI-01-0247-FEDER-045366), supported under the Incentive System for Research and Technological Development - Business R&DT (Individual Projects)

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

Career satisfaction of medical residents in Portugal

Introdução: A satisfação com a profissão médica tem sido apontada como um fator essencial para a qualidade assistencial, o bemestar dos doentes e a estabilidade dos sistemas de saúde. Estudos recentes têm vindo a enfatizar um crescente descontentamento dos médicos, principalmente como consequência das alterações das relações laborais. Objetivos: Avaliar a perceção dos médicos de formação específica em Portugal, sobre as expectativas e grau de satisfação com a profissão, especialidade e local de formação; razões da insatisfação e intenção de emigrar. Material e Métodos: Estudo transversal. A colheita de dados foi efetuada entre Maio e Agosto de 2014 através de um Inquérito online sobre a “Satisfação com a Especialidade”. Resultados: De uma população total de 5788 médicos, foram obtidas 804 respostas (12,25% do total de médicos internos). Desta amostra, 77% das respostas correspondem a internos dos três primeiros anos de formação. Verificou-se que 90% dos médicos se encontram satisfeitos com a especialidade, tendo-se encontrado também níveis elevados de satisfação com a profissão (85%) e local de formação (86%). Por outro lado, constatou-se que estes diminuíam com a progressão ao longo dos anos de internato. A avaliação global sobre o panorama da prática médica foi negativa e 65% dos médicos responderam que consideram emigrar após conclusão do internato. Conclusão: Os médicos internos em Portugal apresentam níveis positivos de satisfação com a sua profissão. No entanto, a sua opinião sobre o panorama da Medicina e os resultados relativos à intenção de emigrar alertam para a necessidade de tomada de medidas para inverter este cenário.Introduction: The satisfaction with the medical profession has been identified as an essential factor for the quality of care, the wellbeing of patients and the healthcare systems’ stability. Recent studies have emphasized a growing discontent of physicians, mainly as a result of changes in labor relations. Objectives: To assess the perception of Portuguese medical residents about: correspondence of residency with previous expectations; degree of satisfaction with the specialty, profession and place of training; reasons for dissatisfaction; opinion regarding clinical practice in Portugal and emigration intents. Material and Methods: Cross-sectional study. Data collection was conducted through the “Satisfaction with Specialization Survey”, created in an online platform, designed for this purpose, between May and August 2014. Results: From a total population of 5788 medical residents, 804 (12.25 %) responses were obtained. From this sample, 77% of the responses were from residents in the first three years. Results showed that 90% of the residents are satisfied with their specialty, 85% with the medical profession and 86% with their place of training. Nevertheless, results showed a decrease in satisfaction over the final years of residency. The overall assessment of the clinical practice scenario in Portugal was negative and 65% of residents have plans to emigrate after completing their residency. Conclusion: Portuguese residents revealed high satisfaction levels regarding their profession. However, their views on Portuguese clinical practice and the results concerning the intent to emigrate highlight the need to take steps to reverse this scenario

Development and validation of the MMCD score to predict kidney replacement therapy in COVID-19 patients

Abstract Background Acute kidney injury (AKI) is frequently associated with COVID-19, and the need for kidney replacement therapy (KRT) is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting the need for KRT in hospitalised COVID-19 patients, and to assess the incidence of AKI and KRT requirement. Methods This study is part of a multicentre cohort, the Brazilian COVID-19 Registry. A total of 5212 adult COVID-19 patients were included between March/2020 and September/2020. Variable selection was performed using generalised additive models (GAM), and least absolute shrinkage and selection operator (LASSO) regression was used for score derivation. Accuracy was assessed using the area under the receiver operating characteristic curve (AUC-ROC). Results The median age of the model-derivation cohort was 59 (IQR 47–70) years, 54.5% were men, 34.3% required ICU admission, 20.9% evolved with AKI, 9.3% required KRT, and 15.1% died during hospitalisation. The temporal validation cohort had similar age, sex, ICU admission, AKI, required KRT distribution and in-hospital mortality. The geographic validation cohort had similar age and sex; however, this cohort had higher rates of ICU admission, AKI, need for KRT and in-hospital mortality. Four predictors of the need for KRT were identified using GAM: need for mechanical ventilation, male sex, higher creatinine at hospital presentation and diabetes. The MMCD score had excellent discrimination in derivation (AUROC 0.929, 95% CI 0.918–0.939) and validation (temporal AUROC 0.927, 95% CI 0.911–0.941; geographic AUROC 0.819, 95% CI 0.792–0.845) cohorts and good overall performance (Brier score: 0.057, 0.056 and 0.122, respectively). The score is implemented in a freely available online risk calculator ( https://www.mmcdscore.com/ ). Conclusions The use of the MMCD score to predict the need for KRT may assist healthcare workers in identifying hospitalised COVID-19 patients who may require more intensive monitoring, and can be useful for resource allocation

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

VIII Congresso Estadual Paulista sobre Formação de Educadores

O tema proposto para discussão durante o VIII Congresso Estadual Paulista sobre a Formação de Educadores – Modos de ser Educador: Artes e Técnicas – Ciências e Políticas envolve a busca de integração entre as diferentes dimensões que compõem a formação do profissional da educação. O trabalho e o sentido da intervenção social desse profissional se constituem em objeto em torno do qual as análises e interpretações vão recolher os fundamentos de debate sobre cultura como totalidade, incluindo: Artes e Técnicas – Ciências e Políticas. A dinâmica que caracteriza a formação de educadores requer a interpretaçãodesses fundamentos para o constante redimensionamento e definição dos objetivos visando aperfeiçoar o papel do profissional educador na sociedade. Por meio de discussões entrediferentes setores ligados à educação é que podem ser avaliados, preservados ou transformados os móveis que norteiam a formação do educador dentro de contextos culturais/sociais específicos, nos diversos campos, artes, técnicas, ciências e políticas. A disponibilidade de um espaço como o VIII Congresso Estadual Paulista sobre a Formação de Educadores para que estudiosos do tema - Educação - se congreguem e debatam a produção de conhecimento sob diversos ângulos, insere e qualifica esse evento como um processo de contribuição para o aprofundamento de estudos na área educacional. Os Congressos Estaduais Paulistas sobre a Formação de Educadores (CEPFE) vêm acontecendo desde 1990 e têm dedicado ênfase especial à formação de profissionais da educação, nos níveis de ensino fundamental, médio e universitário. Tal conformação do Congresso procura extrapolar questões próprias do padrão formal, para a abordagem de formação do profissional da educação embasada na crítica constante, capaz de dinamizar processos e resultados. Essa pretensão ressalta a importância do envolvimento de diferentes áreas do saber numa discussão sobre significados da produção de conhecimento. Daí poderão provir os resultados esperados a partir das atividades programadas para o VIII Congresso dentre os quais está esse caderno de resumos que ora apresentamos.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data