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Dysphagia as a Presenting Symptom of Myasthenia Gravis—Case Report

International Journal of Otolaryngology and Head & Neck Surgery 2014年第1期3卷 23-25页

作者： sara ramalho Sandra Pereira Pedro Oliveira Hugo Morais Nuno Lima Artur Condé Neurology Department Centro Hospitalar Vila Nova de Gaia/Espinho Vila Nova de Gaia Portugal Otolaryngology and Head and Neck Department Centro Hospi-talar Vila Nova de Gaia/Espinho Vila Nova de Gaia Portugal

Dysphagia is a common symptom in otolaryngology, but neuromuscular causes are rarely diagnostic hypotheses to be considered. The Myasthenia Gravis is an autoimmune disease which is characterized by muscle weakness that can affect the muscles of the face, oral cavity, pharynx or esophagus and may present with swallowing disorders. The authors present the case of a 68-year-old man who went to the emergency department of otolaryngology complaining of dysphagia. After the examination and diagnostic exams, it was diagnosed as Myasthenia Gravis. The authors conclude that the clinical suspicion should not be forgotten in order to initiate timely treatment to the effective control of the disease and complement with functional tests according to the complaints, so that it can be followed up and start rehabilitation of the patient.

关键词： Autoimmunity Dysphagia Myasthenia Gravis

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Fluorescent probes for the detection of reactive oxygen species in human spermatozoa

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Asian Journal of Andrology 2020年第5期22卷 465-471页

作者： sara Escada-Rebelo Francisca G Mora Ana P Sousa Teresa Almeida-Santos Artur Paiva Joao ramalho-Santos phD Programme in Experimental Biology and Biomedicine CNC-Center for Neuroscience and Cell BiologyUniversity of CoimbraCoimbra 3004-504Portugal Biology of Reproduction and Stem Cell Group CNC-Center for Neuroscience and Cell BiologyUniversity of CoimbraCoimbra 3004-504Portugal IIIUC-Institute for Interdisciplinary Research Casa Costa AlemaoUniversity of CoimbraCoimbra 3030-789Portugal Reproductive Medicine Unit University Hospitals of CoimbraCoimbra 3004-561Portugal Faculty of Medicine University of CoimbraCoimbra 3000-370Portugal Clinical Pathology Unit University Hospitals of CoimbraCoimbra 3004-561Portugal Department of Life Sciences University of CoimbraCoimbra 3000-456Portugal

Reactive oxygen species(ROS)production is a by-product of mitochondrial activity and is necessary for the acquisition of the capacitated state,a requirement for functional ***,an increase in oxidative stress,due to an abnormal production of ROS,has been shown to be related to loss of sperm function,highlighting the importance of an accurate detection of sperm ROS,given the specific nature of this *** this work,we tested a variety of commercially available fluorescent probes to detect ROS and reactive nitrogen species(RNS)in human sperm,to define their *** both flow cytometry(FC)and fluorescence microscopy(FM),we confirmed that MitoSOX™Red and dihydroethidium(DHE)detect superoxide anion(as determined using antimycin A as a positive control),while DAF-2A detects reactive nitrogen species(namely,nitric oxide).For the first time,we also report that RedoxSensor™Red CC-1,CellROX®Orange Reagent,and MitoPYl seem to be mostly sensitive to hydrogen peroxide,but not ***,mean fluorescence intensity(and not percentage of labeled cells)is the main parameter that can be reproducibly monitored using this type of methodology.

关键词： flow cytometry fluorescent probes human spermatozoa oxidative stress reactive oxygen species

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Development and assessment of artificial neural network models for direct normal solar irradiance forecasting using operational numerical weather prediction data

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Energy and AI 2024年第1期15卷 88-101页

作者： sara Pereira Paulo Canhoto Rui Salgado Institute of Earth Sciences University ofÉvoraRua Romãao Ramalho 597000-671ÉvoraPortugal Department of Mechatronics Engineering University of´EvoraRua Romãao Ramalho 597000-671ÉvoraPortugal Physics Department University of´EvoraRua Romãao Ramalho 597000-671ÉvoraPortugal

Accurate operational solar irradiance forecasts are crucial for better decision making by solar energy system operators due to the variability of resource and energy *** numerical weather prediction(NWP)models can forecast solar radiation variables,they often have significant errors,particularly in the direct normal irradiance(DNI),which is especially affected by the type and concentration of aerosols and *** paper presents a method based on artificial neural networks(ANN)for generating operational DNI forecasts using weather and aerosol forecasts from the European Center for Medium-range Weather Forecasts(ECMWF)and the Copernicus Atmospheric Monitoring Service(CAMS),*** ANN models were designed:one uses as input the predicted weather and aerosol variables for a given instant,while the other uses a period of the improved DNI forecasts before the forecasted *** models were developed using observations for the location of´Evora,Portugal,resulting in 10 min DNI forecasts that for day 1 of forecast horizon showed an improvement over the downscaled original forecasts regarding R2,MAE and RMSE of 0.0646,21.1 W/m^(2)and 27.9 W/m^(2),*** model was also evaluated for different timesteps and locations in southern Portugal,providing good agreement with experimental data.

关键词： Solar radiation Solar energy Numerical weather prediction Artificial neural network Operational forecasting

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