970 resultados para Catalan language -- Acquisition
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The Work Project I present focuses on the analysis of L’Oréal acquisition policy, trying to outline if the M&A deals it has led over the last 14 years have succeeded in creating value. By replicating the model proposed by Todd Hazelkorn, Marc Zenner and Anil Shivdasani in their paper “Creating Value with Mergers and Acquisitions”, I analyzed the 29 M&A deals that L’Oréal has led worldwide, understanding the common factors able to explain the success of such transactions. Further, I focused on The Body Shop case study, a highly criticized and controversial acquisition that has proved to be profitable and able to create value.
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The purpose of this work project is to analyze the acquisition of WhatsApp from Facebook occurred on 19th February 2014. The main research has the aim to understand if the price tag of $19 billion paid by Mark Zuckerberg was fair. Along the reaction of Facebook’s EPS on the keydays after the purchase, a balanced assessment of the acquisition was obtained and discussed. Results suggest that the price tag could be reasonable. However, taking into account the industry in which the two companies operate, where competition is quite intense, Facebook should assess this deal in a longerterm perspective.
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UNL - NSBE
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In this research we conducted a mixed research, using qualitative and quantitative analysis to study the relationship and impact between mobile advertisement and mobile app user acquisition and the conclusions companies can derive from it. Data was gathered from management of mobile advertisement campaigns of a portfolio of three different mobile apps. We found that a number of implications can be extracted from this intersection, namely to product development, internationalisation and management of marketing budget. We propose further research on alternative app users sources, impact of revenue on apps and exploitation of product segments: wearable technology and Internet of Things.
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Objetivo: O objetivo deste estudo consistiu na descrição da aquisição fonética e fonológica de crianças falantes do Português Europeu (PE), da região Centro de Portugal Continental, com idades compreendidas entre os [18-‐36[ meses. Mais especificamente pretendeu-‐se traçar uma ordem cronológica de aquisição dos fones e verificar quais os processos fonológicos mais utilizados nas 3 faixas etárias ([18-‐24[, [24-‐30[, [30-‐36[ meses). Foi ainda objetivo averiguar se existiam diferenças em relação ao número de fones produzidos adequadamente e ao número de processos fonológicos utilizados entre as faixas etárias e os sexos. Definir a ordem pela qual os fones vão surgindo no discurso da criança, isto é, a sua ordem de aquisição, também foi um objetivo deste estudo. Método: A amostra foi constituída por 69 crianças (2 da faixa etária [18-‐24[m, 31 dos [24-‐30[m e 36 dos [30-‐36[m, de ambos os sexos, que frequentavam 6 creches do distrito de Aveiro. Para recolher os dados recorreu-‐se a gravações digitais áudio usando as imagens do Teste Fonético-‐Fonológico-‐ALPE. Resultados: Na aquisição fonética verificou-‐se que que a produção de fones aumentou significativamente à medida que a idade avançou. Também foram encontradas diferenças entre as 3 faixas etárias (p<0,05), mas não entre os sexos (p>0,05). Foi ainda possível traçar a ordem cronológica de aquisição de fones: vogais orais < vogais nasais < oclusivas orais < oclusivas nasais < fricativas < líquidas Laterais < líquidas vibrantes. Relativamente à aquisição fonológica não se verificaram diferenças entre as 3 faixas etárias e entre os sexos (p>0,05). Quanto aos processos fonológicos, os mais utilizados foram os de estruturação silábica, nomeadamente a redução de grupo consonântico, palatalização e omissão de consoante final. Conclusão: As conclusões de maior relevo incidem no facto das diferenças nas faixas etárias serem mais notórias para a aquisição fonética do que para a aquisição fonológica. Também se verificou que não existiam diferenças entre os sexos na aquisição fonética-‐fonológica. Constatou-‐se que nesta amostra as crianças mais velhas adquiriram mais fones que as crianças das faixas etárias mais precoces.
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INTRODUCTION: Urinary tract infections (UTI) among transplant recipients are usually caused by gram-negative microorganisms and can provoke a high incidence of morbidity and mortality. The aim of this study was to evaluate the risk factors associated with the acquisition of UTIs during the first year after renal transplantation. METHODS: Here, we report a single-center retrospective cohort study of 99 renal transplant patients followed for the first year after surgery. The definition of a UTI episode was a urine culture showing bacterial growth and leucocyturia when patients presented with urinary symptoms. The absence of infection (asymptomatic bacteriuria) was defined as an absence of symptoms with negative urine culture or bacterial growth with any number of colonies. RESULTS: Ninety-nine patients were included in the study. During the study, 1,847 urine cultures were collected, and 320 (17.3%) tested positive for bacterial growth. Twenty-six (26.2%) patients developed a UTI. The most frequent microorganisms isolated from patients with UTIs were Klebsiella pneumoniae (36%), with 33% of the strains resistant to carbapenems, followed by Escherichia coli (20%). There were no deaths or graft losses associated with UTI episodes. CONCLUSIONS: Among the UTI risk factors studied, the only one that was associated with a higher incidence of infection was female sex. Moreover, the identification of drug-resistant strains is worrisome, as these infections have become widespread globally and represent a challenge in the control and management of infections, especially in solid organ transplantation.
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Relatório de estágio de mestrado em Ensino de Português no 3.º ciclo do Ensino Básico Secundário e do Ensino do Espanhol no Ensino Básico e Secundário
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Relatório de estágio de mestrado em Ensino do Português no 3º Ciclo do Ensino Básico e no Ensino Secundário e de Espanhol nos Ensinos Básico e Secundário
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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.
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Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.