Control dolor posquirúrgico en pacientes sometidos a implantes orales protocolo ibuprofeno-acetaminofén vs ibuprofeno

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Control dolor posquirúrgico en pacientes sometidos a implantes orales protocolo ibuprofeno-acetaminofén vs ibuprofeno

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ALTA DENSIDADE MINERAL ÓSSEA: DENTRO DA NORMALIDADE OU MASCARANDO A FRAGILIDADE ÓSSEA?

Background: The aim of this study is to evaluate individuals with high BMD and correlate with clinical and laboratory parameters. Methods: We performed a search over the last 4 years, in the archives of bone densitometry of the Department of Endocrinology (Hospital de Clinicas, Federal University of Parana), in all patients with Z-score ≥ 2.0 SD in spine or femur. After selection, we reviewed the medical records of each patient, evaluating their comorbidities and medical history. Results: We selected 104 patients with mean age of 62 years, with 96% of the sample being women. The mean weight was 70 kg, and body mass index 29kg/m². A statistically significant correlation between the presence of artifacts and abnormal densitometric diagnosis (p <0.001) was observed. In patients with increased bone density in spine, approximately 60% had osteopenia or osteoporosis at one or more sites, whereas in patients with arthrosis, 68% had a diagnosis of osteoporosis or osteopenia. Furthermore, a significant correlation between artifacts and Z-score ≥ 2.0 SD in the femoral neck was found (p = 0.008). Of all comorbidities analyzed, there was correlation between hypertension and presence of artifacts (p <0.001), such as arthrosis and scoliosis. It was also observed that 72% of patients with hypothyroidism had artifacts (p = 0.014). Conclusion: We found a high prevalence of patients with high bone mass and abnormal diagnosis in densitometry. These results show that analysis of only one site in densitometry can lead to a wrong diagnosis, especially in patients with degenerative disease. Objetivo: O objetivo deste estudo foi avaliar indivíduos com alta DMO e correlacionar com parâmetros clínicos e laboratoriais. Métodos: Foi realizada uma pesquisa ao longo dos últimos 4 anos, nos arquivos da densitometria óssea do Departamento de Endocrinologia (Hospital de Clínicas da Universidade Federal do Paraná), em pacientes com Z-score ≥ 2,0 DP na coluna ou fêmur. Após a seleção, foram revisados os prontuários de cada paciente, avaliando sua história médica e comorbidades. Resultados: Foram selecionados 104 pacientes com idade média de 62 anos, sendo 96% da amostra do sexo feminino. O peso médio encontrado foi 70 kg e o índice de massa corporal foi 29 kg/m². Observou-se uma correlação estatisticamente significativa entre presença de artefatos e diagnóstico densitométrico anormal (p <0,001). Em pacientes com aumento da densidade óssea da coluna, aproximadamente 60% apresentavam osteopenia ou osteoporose em um ou mais locais, enquanto que em pacientes com artrose, 68% tiveram o diagnóstico de osteoporose ou osteopenia. Além disso, uma correlação significativa entre artefatos e Z-score ≥ 2,0 DP no colo do fêmur foi encontrada (p = 0,008). De todas as comorbidades analisadas, houve correlação entre hipertensão e presença de artefatos (p <0,001), como artrose e escoliose. Observou-se ainda que 72% dos pacientes com hipotireoidismo apresentaram artefatos (p = 0,014). Conclusão: Encontramos elevada prevalência de pacientes com alta massa óssea e diagnóstico final anormal na densitometria. Estes resultados mostram que a análise de um único sítio de densitometria pode conduzir ao diagnóstico incorreto, especialmente em pacientes com doença degenerativa

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

Influence of clinical and neurocognitive factors in psychosocial functioning after a first episode non-affective psychosis: differences between males and females

BackgroundDeficits in psychosocial functioning are present in the early stages of psychosis. Several factors, such as premorbid adjustment, neurocognitive performance, and cognitive reserve (CR), potentially influence functionality. Sex differences are observed in individuals with psychosis in multiple domains. Nonetheless, few studies have explored the predictive factors of poor functioning according to sex in first-episode psychosis (FEP). This study aimed to explore sex differences, examine changes, and identify predictors of functioning according to sex after onset.Materials and methodsThe initial sample comprised 588 individuals. However, only adults with non-affective FEP (n = 247, 161 males and 86 females) and healthy controls (n = 224, 142 males and 82 females) were included. A comprehensive assessment including functional, neuropsychological, and clinical scales was performed at baseline and at 2-year follow-up. A linear regression model was used to determine the predictors of functioning at 2-year follow-up.ResultsFEP improved their functionality at follow-up (67.4% of both males and females). In males, longer duration of untreated psychosis (β = 0.328, p = 0.003) and worse premorbid adjustment (β = 0.256, p = 0.023) were associated with impaired functioning at 2-year follow-up, while in females processing speed (β = 0.403, p = 0.003), executive function (β = 0.299, p = 0.020) and CR (β = −0.307, p = 0.012) were significantly associated with functioning.ConclusionOur data indicate that predictors of functioning at 2-year follow-up in the FEP group differ according to sex. Therefore, treatment and preventative efforts may be adjusted taking sex into account. Males may benefit from functional remediation at early stages. Conversely, in females, early interventions centered on CR enhancement and cognitive rehabilitation may be recommended

Ecos de la academia: Revista de la Facultad de Educación, Ciencia y Tecnología - FECYT Nro 6

Ecos de la academia, Revista de la Facultad de Educación Ciencia y Tecnología es una publicación científica de la Universidad Técnica del Norte, con revisión por pares a doble ciego que publica artículos en idioma español, quichua, portugués e inglés. Se edita con una frecuencia semestral con dos números por año.En ella se divulgan trabajos originales e inéditos generados por los investigadores, docentes y estudiantes de la FECYT, y contribuciones de profesionales de instituciones docentes e investigativas dentro y fuera del país, con calidad, originalidad y relevancia en las áreas de ciencias sociales y tecnología aplicada.Modelos multidimensionales del bienestar en contextos de enseñanza- aprendizaje: una revisión sistemática. Nuevas tendencias para el área académica de la Publicidad en la zona 1 del Ecuador. Propuesta de un curso de escritura académica bajo la base de modelos experienciales. Aproximación al estudio de las emociones. Seguimiento a egresados y graduados para actualizar el perfil de egreso y profesional. Impacto de la Gerencia de Calidad en el clima organizacional en Educación Básica. Comunicación efectiva del gerente educativo orientada al manejo de conflictos en el personal docente. Meritocracia: Democratización o exclusión en el acceso a la educación superior en Ecuador. Asertividad y desempeño académico en estudiantes universitarios. La creatividad en la formación profesional. Aspectos metodológicos en el proceso de enseñanza- aprendizaje de la gimnasia en estudiantes de Educación Física. English Language Learning Interaction through Web 2.0 Technologies. La sistematización de la práctica educativa y su relación con la metodología de la investigación. El ozono y la oxigenación hiperbárica: una vía para mejorar la recuperación en lesiones deportivas. La labor tutorial: Independencia del aprendizaje en el contexto universitario. Motivación hacia la profesión docente en la Enseñanza Secundaria. El uso académico de Facebook y WhatsApp en estudiantes universitarios... La educación superior en Ecuador: situación actual y factores de mejora de la calidad. El Proyecto de Investigación “Imbabura Étnica”

Early mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study

Background Early mobilisation (EM) is an intervention that may improve the outcome of critically ill patients. There is limited data on EM in COVID-19 patients and its use during the first pandemic wave. Methods This is a pre-planned subanalysis of the ESICM UNITE-COVID, an international multicenter observational study involving critically ill COVID-19 patients in the ICU between February 15th and May 15th, 2020. We analysed variables associated with the initiation of EM (within 72 h of ICU admission) and explored the impact of EM on mortality, ICU and hospital length of stay, as well as discharge location. Statistical analyses were done using (generalised) linear mixed-effect models and ANOVAs. Results Mobilisation data from 4190 patients from 280 ICUs in 45 countries were analysed. 1114 (26.6%) of these patients received mobilisation within 72 h after ICU admission; 3076 (73.4%) did not. In our analysis of factors associated with EM, mechanical ventilation at admission (OR 0.29; 95% CI 0.25, 0.35; p = 0.001), higher age (OR 0.99; 95% CI 0.98, 1.00; p ≤ 0.001), pre-existing asthma (OR 0.84; 95% CI 0.73, 0.98; p = 0.028), and pre-existing kidney disease (OR 0.84; 95% CI 0.71, 0.99; p = 0.036) were negatively associated with the initiation of EM. EM was associated with a higher chance of being discharged home (OR 1.31; 95% CI 1.08, 1.58; p = 0.007) but was not associated with length of stay in ICU (adj. difference 0.91 days; 95% CI − 0.47, 1.37, p = 0.34) and hospital (adj. difference 1.4 days; 95% CI − 0.62, 2.35, p = 0.24) or mortality (OR 0.88; 95% CI 0.7, 1.09, p = 0.24) when adjusted for covariates. Conclusions Our findings demonstrate that a quarter of COVID-19 patients received EM. There was no association found between EM in COVID-19 patients' ICU and hospital length of stay or mortality. However, EM in COVID-19 patients was associated with increased odds of being discharged home rather than to a care facility. Trial registration ClinicalTrials.gov: NCT04836065 (retrospectively registered April 8th 2021)

AmazonCRIME: a Geospatial Artificial Intelligence dataset and benchmark for the classification of potential areas linked to Transnational Environmental Crimes in the Amazon Rainforest

[EN] In this article the challenge of detecting areas linked to transnational environmental crimes in the Amazon rainforest is addressed using Geospatial Intelligence data, open access Sentinel-2 imagery provided by the Copernicus programme, as well as the cloud processing capabilities of the Google Earth Engine platform. For this, a dataset consisting of 6 classes with a total of 30,000 labelled and geo-referenced 13-band multispectral images was generated, which is used to feed advanced Geospatial Artificial Intelligence models (deep convolutional neural networks) specialised in image classification tasks. With the dataset presented in this paper it is possible to obtain a classification overall accuracy of 96.56%. It is also demonstrated how the results obtained can be used in real applications to support decision making aimed at preventing Transnational Environmental Crimes in the Amazon rainforest. The AmazonCRIME Dataset is made publicly available in the repository: https://github.com/jp-geoAI/AmazonCRIME.git.[ES] En este artículo es abordado el desafío de detectar áreas vinculadas con crímenes ambientales trasnacionales en la selva amazónica usando datos de Inteligencia Geoespacial, imágenes de libre acceso Sentinel-2 proporcionadas por el programa Copernicus, así como también las capacidades de procesamiento en la nube de la plataforma Google Earth Engine. Para esto, se generó un conjunto de datos que consta de 6 clases con un total de 30.000 imágenes multiespectrales de 13 bandas, etiquetadas y georreferenciadas que es usado para alimentar modelos avanzados de Inteligencia Artificial Geoespacial (redes neuronales convolucionales profundas) especializados en las tareas de clasificación de imágenes. Con el conjunto de datos presentado en este artículo es posible obtener una exactitud global (overall accuracy) de clasificación de 96.56%. Es también demostrado cómo los resultados obtenidos se pueden utilizar en aplicaciones reales para apoyar la toma de decisiones destinadas a prevenir los Crímenes Ambientales Transnacionales en la selva Amazónica. El Conjunto de datos AmazonCRIME se coloca a disposición del público en el repositorio: https://github.com/jp-geoAI/AmazonCRIME.git.Agradecemos al Programa de Posgraduación en Ciencias Geodésicas de la Universidad Federal de Paraná y el apoyo financiero al Consejo Nacional de Desarrollo Científico y Tecnológico de Brasil (CNPq) (190032/2017-0).Pinto-Hidalgo, JJ.; Silva-Centeno, JA. (2022). AmazonCRIME: un conjunto de datos y punto de referencia de Inteligencia Artificial Geoespacial para la clasificación de áreas potenciales vinculadas a Crímenes Ambientales Transnacionales en la Selva Amazónica. Revista de Teledetección. 0(59):1-21. https://doi.org/10.4995/raet.2022.15710OJS121059Abdani, S.R., & Zulkifley, M.A. 2019. 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Automated Machine Learning for High-Throughput Image- Based Plant Phenotyping. Remote Sensing, 13(5), 858. https://doi.org/10.3390/rs13050858Kussul, N., Lavreniuk, M., Skakun, S., & Shelestov, A. 2017. Deep learning classification of land cover and crop types using remote sensing data. IEEE Geoscience and Remote Sensing Letters, 14(5), 778- 782. https://doi.org/10.1109/LGRS.2017.2681128LeCun, Y., Bengio, Y., & Hinton, G. 2015. Deep learning. nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539Letitia, A. 2013. Activity based intelligence: Understanding the unknown. The intelligencer: Journal of US intelligence studies, 20(2), 7-16.López-Jiménez, E., Vasquez-Gomez, J. I., Sanchez- Acevedo, M. A., Herrera-Lozada, J. C., & Uriarte- Arcia, A. V. 2019. Columnar cactus recognition in aerial images using a deep learning approach. Ecological Informatics, 52, 131-138. https://doi.org/10.1016/j.ecoinf.2019.05.005Lowenthal, M.2020. Intelligence. From secrets to policy. CQ. 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Bringing order to a complex system: phenotypic and genotypic evidence contribute to the taxonomy of Tityus (Scorpiones, Buthidae) and support the description of a new species

We present a molecular phylogenetic analysis including a survey for overlooked phenotypic characters. Based on both analysis and characters a new cave-dwelling species is described: Tityus (Tityus) spelaeus sp. nov. from the Russão II cave, Posse, state of Goiás, Central Brazil. Characters such as the glandular regions of the female pectinal basal piece and basal middle lamellae of pectines, and the distribution of the ventral setae of telotarsi I–IV proved to be useful to constructing the taxonomy of species and species groups of Tityus. The new species is a member of the Tityus trivittatus species-group of Tityus (Tityus) and can be readily recognized by the immaculate coloration pattern and the more developed glandular region on the female pectinal basal piece. In addition, we provide a discussion of the phylogenetic relationships observed within Tityus, on the relevance of the new phenotypic characters to the modern taxonomy of the genus Tityus, and to the records of Brazilian cave scorpions