Dans cette thèse, nous rapportons qu'un dendrigraft de poly-L-Lysine(DGL) est capable de former un complexe multi-ligand avec un peptide fluorescent, conduisant à la disparition quasi-totale du signal optique,qui peut ensuite être restauré en présence d'héparine. Ce système simple permet, pour la première fois, la détection de l'anticoagulant dans le sang humain à des doses cliniques. Ensuite, nous démontrons que ce système simple peut évoluer vers une barrette de senseurs. En fonction de la quantité d'indicateur sur le récepteur, des glycosaminoglycanes chargés négativement (GAG) induisent une variation du signal fluorescent selon s'ils déplacent ou compactent les indicateurs à la surface du récepteur. Cette stratégie unique permet non seulement l'identification aveugle de GAGs purs avec un niveau de précision de 100 %, mais aussi la différenciation de mixtures.Nous présentons également une méthodologie originale et simple pour la construction de structures tridimensionelles des DGLs. Nous étudions ensuite les caractéristiques structurelles de ces polymères par dynamique moléculaire. Cette méthodologie repose sur l'encodage des caractéristiques expérimentales des DGLs (i.e. degré de polymérisation, rapports de branchement, charges) en chaînes alphanumériques, qui seront ensuite interprétées par le programme de mécanique moléculaire Amber. Ce travail ouvre des perspectives pour l'exploration in silico des propriétés des dendrigrafts et des polymères hyperbranchés. Finalement, nous avons développé ChemBrows, un logiciel qui assiste les scientifiques/enseignants/étudiants dans leur veille bibliographique. Fonctionnant comme un lecteur de flux RSS amélioré qui intègre des filtres par mots-clés et un moteur de recommandation basé sur l'apprentissage machine, ChemBrows est un logiciel libre et open-source: www.chembrows.com. / In this thesis, we report that a "tree-like" dendrigraft ofpoly-L-Lysine (DGL) is able to form a multi-ligand complex with afluorescently labelled peptide, leading to the almost complete extinction ofthe optical signal that can be restored upon the introduction of heparin. This simple system allows, for the first time, the turn-ON fluorescent sensing of the anticoagulant in human blood at clinically relevant levels. Then, we demonstrate that this sensing ensemble can evolve toward a sensorarray. Depending on the loading of the indicator on the receptor, negatively charged glycosaminoglycans (GAGs) induce a positive or negative variation of the fluorescent signal as they displace the indicators from the receptor or they compact the indicators on the receptor’s surface, respectively. This unique strategy allows not only the blind identification of pure GAGs with a level of accuracy of 100 %, but also the differentiation of mixtures.We also report an original and simple methodology for the construction of three-dimensional structures of DGLs, and the subsequent investigation of their structural features using molecular dynamics simulations. This methodology relies on the encoding of the polymers’ experimental characterizations (i.e. degrees of polymerization, branchingratios, charges) into alphanumeric strings that are "readable" by the Ambersimulation package. This work opens avenues toward the in silico exploration of dendrigrafts and hyperbranched polymers.Finally, we developed ChemBrows, an in-house software that will significantly help scientists/teachers/ students to tame the flood of publications.Working as an enhanced RSS reader that integrates keyword-based filters anda machine-learning-based recommendation engine, ChemBrows is available onmultiple platforms as a free and open-source software at www.chembrows.com.

Background: Blockchain technology may seem like a complex system, but it is simply a decentralized database designed to remove the need for third-party organisation in data management. Blockchain is being researched for uses in the various industry out of which healthcare is one. Healthcare industry suffers from various issues such as imperfect data, a broken medical history that is split across various healthcare institutions, and so on. Blockchain might be the approach it needs to optimize it to a greater level of functioning. Objectives: The objectives of this report are to understand whether the decentralization feature along with other features of blockchain technology can be advantageous to the healthcare industry and also to summarize the previous implementation for the use cases of the technology in the domain. Methods: The method used is a literature survey. We perform a study selection process in four steps. After each step, the number of publications is reduced as unwanted publications are omitted using search strings, inclusion and exclusion criteria. We even conducted a study quality assessment which helps us analyse the quality offindings from the final set of selected papers in answering the research questions. Results: We have summarized the findings from the 36 selected papers from the study selection process according to the research questions. Conclusions: Blockchain technology provides data security, once any data is registered on the blockchain it cannot be altered or manipulated. It eliminates the need for a third party to verify the transactions on the chain. As blockchain is a budding new technology with very little age under its belt, there needs to more research on the topic before this can be applied over a large scale of systems that are operating in critical areas such as healthcare. Even though implementing blockchain for the use cases such as Electronic Medical Records (EMRs), research trials and so on, it can not be done immediately as the exposure of this technology to the common public and healthcare individuals is very limited.

The Moment Recursion (MR) models are a class of models for tactical planning of job shops or other processing networks. The MR model can be used to determine or approximate the first two moments of production quantities and queue lengths at each work station of a job shop. Knowledge of these two moments is sufficient to carry out a variety of performance evaluation, optimization and decision-support applications. This paper presents a literature survey of the Moment-Recursion models. Limitations in the existing research and possible research opportunities are also discussed. Based on the research opportunities discussed, we are in the process of building a model that attempts to fill these research gaps. / Singapore-MIT Alliance (SMA)

Mobile devices and mobile computing have made tremendous advances and become ubiquitous in the last few years. As a result, the landscape has become seriously fragmented which brings lots of challenges for the mobile development process. Whilst native approach of mobile development still is the predominant way to develop for a particular mobile platform, recently there is shifting towards cross-platform mobile development as well. In this thesis, a survey of the literature has been performed to see the trends in cross-platform mobile development over the last few years. With the result of the survey, it is argued that the web-based approach and in particular, hybrid approach, of mobile development serves the best for cross-platform development. Using the hybrid approach, a prototype application has also been developed and built into native application for different platforms. This has helped to get a better insight about the domain of cross-platform mobile development and its main advantage of the unification of the development and testing process. The results of this work indicate that even though cross platform tools are not fully matured they show great potential and reduce the cost associated in developing native mobile applications. Cross-platform mobile development is equally suitable for rapid development of high-fidelity prototypes of the mobile application as well as fairly complex, resource intensive mobile applications on its own right. As the upcoming future trends and the evolution of HTML5 continues to redefine the web, allowing its growth as a software platform, there remains great opportunities for cross-platform mobile development and hence provides an attractive alternative for the native mobile development.

The Thesis is composed by three complementary research investigations on the economic and policy aspects of EU corporate R&D.Collectively, the work first reviews the theoretical and empirical literature of corporate R&D intensity decomposition; it then investigates the EU R&D intensity and its decomposition elements comparatively with most closed competitors and with emerging economies over the period 2005-2013. Finally, it inspects further some key aspects that can be associated to the EU R&D intensity gap: sectoral dynamics and the resulting sectoral and technological specialisations as well as the drivers for R&D investment growth across sectors and firms' age groups of top R&D investing firms over time. These studies also address the possible policy implications that derive from their outcomes.The investigations rely on literature as well as on company data, mainly from nine editions (2006-2014) of the EU Industrial R&D Investment Scoreboard. For analytical purposes they use literature review, meta-analysis, descriptive statistics, R&D intensity decomposition computational approach, Manhattan distance and Technological Revealed Comparative Advantage metrics, and a multinominal logit regression model. The results of these three research works are novel in several aspects. It indicates that literature results on R&D intensity decomposition differ because of data and methodological heterogeneities, and that the structural cause is the main determinant of EU R&D intensity gap if sector compositions of the countries are considered. It inspects how the use of different data sources and analytical methods impact differently on R&D intensity decomposition results, and what the analytical and policy implications are.The empirical research results of this Thesis confirm the structural nature of the EU R&D intensity gap. In the last decade the gap between the EU and the USA has widened, whereas the EU gap with Japan has remained relatively stable. In contrast, the emerging countries' R&D intensity gap compared to the EU has remained relatively stable, while companies from emerging economies are considerably reducing such gap. Besides, as novel contribution to the state of the art of the literature, this Thesis uncovers the differences between EU and US by inspecting which sectors, countries and firms are more accountable for the aggregate R&D intensity performance of these two economies, and it finds a high heterogeneity of firms' R&D intensity within sectors. Furthermore, it shows that there is a bigger population of both larger and smaller US top R&D firms which invest more strongly in R&D than competitors, and that the global R&D investment is concentrated in a few firms, countries and industries. Finally, the research founds a slightly higher EU R&D shift over sectors compared to the US, but not strongly enough towards high-tech sectors. Also, the EU has an even broader technological specialisation than its already broad industrial R&D sector specialisation, while the USA leads by number of technological fields belonging mostly to the industrial R&D sectors of its specialisation. Furthermore, the EU has been better able than the USA and Japan to maintain its world share of R&D investment even during the years of economic and financial crisis. Lastly, the study also indicates that firms make a complementary use of capital expenditures and R&D intensity for their R&D investment growth strategies and it reveals that there are differences in their use between firms' age classes across sectors. Overall, the main results of the Thesis suggest that to reach a more positive R&D dynamics and boost its competitiveness, the EU should adapt its industrial structure and increase the weight of high R&D intensive sectors. A focus on creating the conditions for firm creation and growth in new-emerging innovative sectors is advised together with favouring the exploitation of the full capacity of EU leading - but mature - sectors to also absorb high-technology from other sectors. / Doctorat en Sciences économiques et de gestion / info:eu-repo/semantics/nonPublished