Projektets syfte är att ta reda på ifall det är någon skillnad mellan två olika språkprofiler vid kustväderuppläsning. Hur ger man användaren en tydlig och relevant förståelse av kustvädret? Finns det en språkprofil som är bättre än den andra? För att svara på frågeställningarna har en utvärdering utförts med hjälp av en enkät innehållande både frågor och uppgifter, detta för att få en tydlig bild över lyssnarens förståelsegrad samt upplevelse. Resultaten visar på att språkprofil A baserat på ledigt språk är bättre än språkprofil B som är baserat på strikt språk. Dessutom indikerar resultaten på att tydlig struktur, långsam talhastighet, tydliga pauser, ett enkelt språk och att mottagaren har ett bra sätt att lyssna på är faktorer som påverkar hur kustväderuppläsningen förstås.

Orientador: Anselmo Gomes de Oliveira / Resumo: O celecoxibe (CEL) é um inibidor específico de ciclooxigenase 2 e vem sendo estudado também como inibidor da atividade angiogênica em razão de sua propriedade de inibir o fator de crescimento endotelial vascular (VEGF). Devido às suas características físico-químicas, o CEL possui baixa solubilidade em água e alta permeabilidade, sendo classificado como fármaco pertencente à classe 2 do Sistema de Classificação Biofarmacêutica. Alguns anti-inflamatórios não esteróides têm sido utilizados por via tópica no tratamento de grande parte das doenças do segmento anterior dos olhos, mas também apresentam bom prognóstico para o tratamento de doenças do segmento posterior dos olhos, tais como a retinopatia diabética (RD), degeneração macular relacionada à idade (DMRI) e oclusão venosa retinal (OVR). Na maioria dos casos as concentrações locais dos fármacos no segmento posterior dos olhos não conseguem atender às necessidades quantitativas e temporais dos estímulos dessas doenças quando administrados pela via oral, ocular tópica ou parenteral sistêmica. Assim, o objetivo deste projeto foi desenvolver e caracterizar nanoemulsões (NEs) biocompatíveis visando à administração intraocular do CEL. Os sistemas nanoemulsionados contêm Fosfatidilcolina de Soja (FS) e Tween®20 (Tw) como tensoativos, Captex®200 como fase oleosa e tampão fosfato de potássio pH 7,2 como fase aquosa. As NEs foram desenvolvidas e sua nanoestrutura foi caracterizada através do diâmetro médio de gotículas onde as NEs vaz... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Celecoxib (CEL) is a specific inhibitor of cyclooxygenase 2 and has also been studied as an inhibitor of angiogenic activity because of its property of inhibiting vascular endothelial growth factor (VEGF). Due to its physico-chemical characteristics, CEL has low solubility in water and high permeability being classified as a drug belonging to class 2 of the Biopharmaceutical Classification System. Some anti-inflammatory drugs have been used topically to treat most of the anterior segment eye diseases, but also have a good prognosis for the treatment of diseases of the posterior segment of the eye such as diabetic retinopathy (DR), age-related macular degeneration (AMD) and retinal venous occlusion (RVO). In most cases the local concentrations of the drugs in the posterior segment of the eye fail to reach the quantitative and temporal needs of the stimuli of these diseases when administered by the oral, topical ocular and systemic parenteral rout. The aim of this project was to develop and characterize biocompatible nanoemulsions (NEs) capable of increasing the apparent solubility of CEL for intraocular administration. Nanoemulsified systems contain Soy Phosphatidylcholine (FS) and Tween®20 (Tw) as surfactants, Captex®200 as oily phase and potassium phosphate buffer pH 7.2 as the aqueous phase. The NEs were developed and their nanostructure was characterized by the mean diameter of droplets where the empty NEs had an average diameter of the order of 40 nm with a zeta potential... (Complete abstract click electronic access below) / Doutor

his project aims to find a method that will help fill the information gaps in electroencephalography (EEG) brain-computer interfaces (BCI) research, by creating a pipeline method that allows for quicker research iterations than current state-of-the-art methods. The pipeline method is a multi-step processstarting from the recording EEG data from a subject performing a thought paradigm action, continuing with processing and decoding of the data, and ending with visualization and analysis the decoded results. Thought paradigms are in this project defined as different ways that the subject can think, with different words and different ways of thinking of those words. The pipeline will utilize various machine learning methods to be able to reach the two main goals of quickly being able to analyze and compare different paradigms and methods. Regarding the accuracy of the models, a minimum level of higher than random chance accuracies is needed if the pipeline should be considered to be useful for analyzing and comparing paradigms and methods, while a higher level of having accuracies comparable with state-of-the-art methods will allow for comparisons with paradigms and methods from other research methods as well. In the pipeline, various simple feature extraction methods are tested, such as the Fourier transform (FT) and low pass filtering. As well as features based on covariance between channels and data gradients. A specific way to baseline correct the features is also proposed and tested. The results of the project show that the pipeline method is a viable way of quickly testing and comparing paradigms and methods. With results that are comparable to state of the art methods. While also allowing for quick iteration and comparison. Future possibilities using this method are discussed