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Introduction: The mandible is the largest and strongest of the bones in the face. Due to its topography, it is vulnerable to trauma. Data analysis on mandible fractures is fundamental for treatment and public health policies. This study aims to conduct an epidemiological survey of surgically treated mandibular fractures. Method: Screening through the hospital information system, seeking patients undergoing surgery for jaw fracture performed at a teaching hospital by the plastic surgery team in Campinas-SP from April 2015 to April 2020. Data were then collected through analysis of medical records. Results: 50 patients were included, 90% male. The average age was 30.7 years. The predominant etiology was an automobile accident, and the most fractured region in the mandible was the parasymphysis. The median time between trauma and surgery was 19 days. Eleven (22%) patients had some comorbidity. Fourteen patients (28%) were admitted to the Intensive Care Unit (ICU), and 42% underwent surgery with another specialty besides Plastic Surgery. Ten (20%) patients had some complication of the surgery, the most common being surgical wound dehiscence. Conclusion: There was a predominance among young men and traffic accidents as etiology. Fractures were preferably located in the parasymphysis region and were treated using rigid internal fixation. The high rates of ICU admission, associated injuries, and surgical procedures carried out by other specialties demonstrate the severity of the patients assisted in the service.

Este texto tiene por objetivo reflexionar críticamente sobre la estructura de la colonialidad del poder en el “hacer ciudad”. Para ello, primeramente revisamos algunos vínculos entre los análisis de la colonialidad/decolonialidad, los procesos de planificación urbana asociados a “nuevos urbanismos” y al “modelo de ciudad creativa” y las posibilidades del arte urbano como práctica habilitadora de una concepción descentrada de la ciudad. Luego, a partir de un abordaje etnográfico, presentamos tres casos de estudio en la ciudad de Buenos Aires donde estos procesos se ponen en juego, mostrando cómo opera la colonialidad en prácticas gubernamentales y la potencial decolonialidad en prácticas comunitarias/colectivas en barrios populares que, se especula, promueven otras formas de “hacer ciudad” y de habitar los espacios urbanos. Se concluye que las disputas generadas por la estetización urbana por parte del gobierno suelen recrear parámetros de lo moderno-colonial, mientras los proyectos de arte autogestionado llevados adelante en los barrios populares habilitan diversos tipos de pensamientos descentrados que invitan a pensar en nuevas formas de la decolonialidad.

This work reveals the diversity and extent of human antibody specificities in Chagas disease and provides a wealth of well-defined antigenic markers for diagnosis and development of serological applications for this neglected infectious disease.

Maltodextrins are products of starch hydrolysis that can be processed into dry fibres through electrospinning and subsequently cured via mild thermal treatment to obtain nonwoven cross-linked polysaccharide-based mats. The sustainability of the process and the bioderived nature make this class of materials suitable candidates to be studied as renewable sorbents for the removal of contaminants from water. In this work, electrospinning of water solutions containing 50% wt. of commercial maltodextrin (Glucidex 2®) and 16.6% wt. of citric acid was carried out at 1.2 mL/h flow and 30 kV applied voltage, followed by thermal curing at 180 °C of the dry fibres produced to obtain cross-linked mats. Well-defined fibres with a mean diameter of 1.64 ± 0.35 µm were successfully obtained and characterised by scanning electron microscopy, thermogravimetric analysis, and attenuated total reflectance Fourier transform infrared spectroscopy. Afterwards, a series of sorption tests were conducted to evaluate the effectiveness of the mats in removing atenolol from water. The results of the batch tests followed by HPLC-UV/Vis showed high sorption rates, with over 90% of the atenolol removed, and a maximum removal capacity of 7 mg/g. Furthermore, continuous fixed-bed sorption tests proved the positive interaction between the polymers and atenolol.

Two weeks into a new academic school year, a physical education (PE) class of 25 grade nine girls completed a survey relative to their previous PE experiences. Following the completion of a six-lesson territorial games unit using the six-step teaching game for understanding (TGfU) model taught by a guest certified female teacher with TGfU expertise, the sample completed the same survey except applying to the TGfU-games unit. The study investigated differences in self-reported likes, dislikes, self-efficacy, value, ability conceptions, physical activity, anxiety, and need for cognition between previous PE experiences and a TGfU games unit. Both the PE-experience and TGfU-unit surveys consisted of 39 items (34 Likert style, two open-ended, and three demographics). One-way repeated measures ANOVA was used to assess differences in these constructs between previous PE and the TGfU-games unit and Creswell's protocol was applied to analyze data from the two qualitative survey items (students' likes and dislikes of PE and TGfU). Results revealed both likes and dislikes for TGfU and PE with significantly higher self-efficacy and lower anxiety, value, and entity ability conception in the TGfU-games unit. The study provides new insight potential differences between previous experiences in PE and a TGfU-unit on students' motivation and the need for cognition in PE.

Abstract The ocean circulation is modulated by meandering currents and eddies. Forecasting their evolution is a key target of operational models, but their forecast skill remains limited. We propose a machine learning approach that improves the output of an ocean circulation model by learning and predicting its systematic biases. This method can be applied a priori to any region, and is tested in the Gulf of Mexico, where the Loop Current (LC) and the large anticyclonic eddies that detach from it are major forecasting targets. The LC dynamics are recurrent and lie on a low‐dimensional dynamical attractor. Building upon the information gained analyzing this low dimensional attractor, we improve the representation of sea surface anomalies in model outputs through information from satellite altimeter data using a Sequence‐to‐Sequence model, which is a special class of Recurrent Neural Network. Building upon the HYCOM‐NCODA analysis system, we deliver a correction to the forecast at the observation resolution. For at least 15 days the proposed method learns to forecast the systematic bias in the HYCOM‐NCODA, outperforming persistence, and improving the forecast. This data‐driven approach is fast and can be implemented as an added step to any dynamical hindcasting or forecasting model. It offers an interesting avenue for further developing hybrid modeling tools. In these tools, fundamental physical conservations are preserved through the integration of partial differential equations which obey them. In addition, the method highlights specific deficiencies of the hindcast system that deserve further investigation in the future.