Management of heterotopic ossification affecting both hips and knees.

The management of heterotopic ossification is controversial. This is a rare case affecting both hips and knees of a 22-year-old woman that prevented her from walking. The management and the outcome, three years after excision of the ossific masses, as well as the measures to prevent recurrence after excision of the heterotopic ossification, are discussed

Non-destructive test on weld and metallic materials. Integration of information in the bim process flow in the field of quality of control

SAP o como sus siglas significan, Sistemas, Aplicaciones y Productos para Procesamiento de Datos, es un sistema informático utilizado en las empresas para administrar correctamente las acciones de la empresa. Este sistema se relaciona con otros que nos sirven para la planificación de los recursos empresariales, a estos les llamamos ERP, que son sistemas íntegros compuestos por diferentes módulos para administrar los recursos de cada área en la empresa. El lenguaje de programación de SAP es ABAP, Advanced Business Application Programming, y se encarga de desarrollar las nuevas y/o adecuar las funcionalidades en SAP para que cumplan los requerimientos de la empresa. Lo que se va a tratar en este trabajo será la realización de una serie de herramientas para el laboratorio de CEMOSA (Centro de Estudios de Materiales y Control de Obra SA), siguiendo las normas UNE específicas para el material. Estas herramientas van a consistir en la posibilidad de tomar las muestras del tipo de material metálico, visualizarlo en la entrada de muestras y la generación de informes y albaranes referentes a dicho material

Qatar Siege : Impact On Consumer Behaviour

This poster analyses the effect of the siege placed on Qatar by Saudi Arabic, Bahrain, Egypt, and UAE, on consumer behaviour. This is done by focusing on the food industry, which was majorly impacted. Other sectors that effected consumer behaviour are also explored to understand the overall outcome

Vitamin-D-deficiency rickets even with abundant sunlight - a case to highlight emerging problem

We describe a case of vitamin-D-deficiency rickets in a young child to highlight its existence in Malaysia where sunlight is abundant throughout the year. The child presented with deformity of both legs. He came from an educated urban family but remained indoors most of the time. Radiographs of knees and wrists showed changes of florid rickets. Low serum 25-hydoxyvitamin-D, high parathyroid hormone, normal serum phosphate and calcium levels, and normal renal function clinched the diagnosis of vitamin-D-deficiency rickets. He improved remarkably after treatment with oral Vitamin-D. We emphasise the importance of exposure to sunlight to prevent rickets

Cerebral fat embolism syndrome mimicking thrombotic thrombocytopenic purpura in a patient with Hemoglobin SC disease

Case Presentation A 54 year‐old man with hemoglobin SC disease (HbSC) and a history of substance abuse presented to the Emergency Department from a nursing home with two days of progressive weakness, shortness of breath, and lower back pain. He developed a fever, hypoxia, and tachycardia on the day of admission. He did not have any recent changes in medications, and his family as well as the nursing home staff denied any access to illicit drugs

Research versus practice in quality improvement? Understanding how we can bridge the gap

The gap between implementers and researchers of quality improvement (QI) has hampered the degree and speed of change needed to reduce avoidable suffering and harm in health care. Underlying causes of this gap include differences in goals and incentives, preferred methodologies, level and types of evidence prioritized and targeted audiences. The Salzburg Global Seminar on 'Better Health Care: How do we learn about improvement?' brought together researchers, policy makers, funders, implementers, evaluators from low-, middle- and high-income countries to explore how to increase the impact of QI. In this paper, we describe some of the reasons for this gap and offer suggestions to better bridge the chasm between researchers and implementers. Effectively bridging this gap can increase the generalizability of QI interventions, accelerate the spread of effective approaches while also strengthening the local work of implementers. Increasing the effectiveness of research and work in the field will support the knowledge translation needed to achieve quality Universal Health Coverage and the Sustainable Development Goals.Fil: Hirschhorn, Lisa R.. Northwestern University; Estados UnidosFil: Ramaswamy, Rohit. University of North Carolina; Estados UnidosFil: Devnani, Mahesh. Post Graduate Institute of Medical Education & Research; IndiaFil: Wandersman, Abraham. University Of South Carolina; Estados UnidosFil: Simpson, Lisa A.. Academy Health; Estados UnidosFil: Garcia Elorrio, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentin

Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects

Fine-tuning of a model is a method that is most often required to cater to the users’ explicit requirements. But the question remains whether the model is accurate enough to be used for a certain application. This paper strives to present the metrics used for performance evaluation of a Convolutional Neural Network (CNN) model. The evaluation is based on the training process which provides us with intermediate models after every 1000 iterations. While 1000 iterations are not substantial enough over the range of 490k iterations, the groups are sized with 100k iterations each. Now, the intention was to compare the recorded metrics to evaluate the model in terms of accuracy. The training model used the set of specific categories chosen from the Microsoft Common Objects in Context (MS COCO) dataset while allowing the users to use their externally available images to test the model’s accuracy. Our trained model ensured that all the objects are detected that are present in the image to depict the effect of precision

Cloud based sensor analysis for customer-specific residual value estimation for end-of-life product recovery

Manufacturing companies that take back products at the End-Of-Life (EOL) face a decision whether to recycle, remanufacture, repair, refurbish or scrap that product. One of the first steps is to estimate the product's residual value, primarily on the basis of age and a cursory visual inspection. However, there is a high degree of variability in actual value, even for products of the same age. This is due to the variability of environmental and use conditions to which the product has been exposed by the consumer. This paper proposes a predictive model that uses data obtained from sensors which is stored on the cloud, throughout a product's lifecycle. This data is used to more accurately estimate the value at the EOL. The model recommends the EOL solution for an individual product based on the quality level and demand for refurbished products. An illustrative cell phone example is presented, which tracks the condition of each phone during its lifecycle. Simulation is performed to obtain the residual value distribution based on predictive indicators from sensors including accelerometer data to monitor number of free falls and impact, number of battery lifecycles, humidity and temperature sensors. Results indicate improved residual value estimation due to minimizing the loss due to variance in quality of products

Recent Advances in Voltammetric Sensing

The practical day to day life is largely affected by the products that we use, the air that we breathe, the soil that is used to grow crops, the water we drink and use for various household chores or industrial purposes. The purity analysis of these products or estimation of useful inorganic and organic analytes is of utmost importance for avoiding health and environment risk. Everyone wants to be aware that what they are eating or applying on their skin is safe for them. A diabetic patient needs to monitor their blood sugar levels constantly. The air, water and soil quality needs constant monitoring to avoid health hazards. Not just this, chemical analysis is crucial as a crime investigation technique to identify suspects. Fuel quality and storage needs to be tested for eliminating unwanted losses. The electrochemical techniques are inherently fast, selective and sensitive and some systems are portable as well which is a boon for on-site monitoring. Voltammetric techniques like cyclic voltammetry, stripping voltammetry, impedance spectroscopy, amperometry and other techniques provide specific information of the analytes to be tested. This chapter will highlight the voltammetric techniques used for different types of analyte sensing and the advances that have taken place recently related to voltammetric sensing