61 research outputs found
: From material objects to digital data: multi-scale and multi-temporal digitalization challenges
No full textContributeurs : Florent Comte, Eloi Gattet, El Mustapha Mouaddib, Anthony Pamart, Renato Saleri, Livio De Luca, Aurore Pfitzmann // Author contributions : Conceptualization: F.C.; Data curation: F.C., E.G., E.M.M., A.P., R.S.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: ; Methodology: ; Project administration: L.D.L., A.P.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: F.C., E.G., E.M.M., A.P., R.S.; Writing – original draft: F.C., E.G., E.M.M., A.P., R.S.; Writing – review & editing: F.C.International audienceDescription des réflexions et des outils utilisés pour la numérisation 3D dans le cadre du Chantier Scientifique de Notre-Dame de Paris
2-Deoxy-d-ribose-5-phosphate aldolase (DERA): applications and modifications
No full text© 2018, The Author(s). 2-Deoxy-d-ribose-5-phosphate aldolase (DERA) is a class I aldolase that offers access to several building blocks for organic synthesis. It catalyzes the stereoselective C–C bond formation between acetaldehyde and numerous other aldehydes. However, the practical application of DERA as a biocatalyst is limited by its poor tolerance towards industrially relevant concentrations of aldehydes, in particular acetaldehyde. Therefore, the development of proper experimental conditions, including protein engineering and/or immobilization on appropriate supports, is required. The present review is aimed to provide a brief overview of DERA, its history, and progress made in understanding the functioning of the enzyme. Furthermore, the current understanding regarding aldehyde resistance of DERA and the various optimizations carried out to modify this property are discussed.ChemE/Product and Process EngineeringBT/BiocatalysisBT/Biotechnologi
Wind Tunnel City
No full textHigh density high-rise environments have significant impact on the air quality and use of space. In Hong Kong it has resulted in poor air quality; a network of podia with supporting facilities; with a mixed cultural background of East and West. Within Hong Kong, Mong Kok is the area with the worst air quality and the least available wind. Therefore, the research question is: How can urban ventilation in Mong Kok, Hong Kong, be triggered by architectural design? By using CFD (computational Fluid Dynamics) a comparison of the current situation and the design proposal can be made to conclude if the air quality has improved.ExplorelabArchitectureArchitecture and The Built Environmen
Experimental research on dynamic dredge overflow plumes
No full textThe overflow mixture of hopper dredgers contains fine sediment which when released in the environment forms a so-called plume. The spreading of this sediment and the related turbidity increase and sedimentation pattern can be of environmental importance. Understanding the behaviour of these plumes is therefore important. The first phase of the plume is called dynamic. It is characterized by the rapid descent of a dense mixture under influence of its initial momentum and buoyancy. The dynamic phase is followed by the passive phase that is governed by the settling behaviour of the particles. The behaviour and fate of the dynamic phase is depending on several influences and is therefore more difficult to model than the passive phase. This M.Sc. thesis is focused on getting more insight in some of these influences. Also the implementation of these influences in dynamic plume models is investigated. A preliminary study was carried out to investigate both theory and modelling of dynamic plumes in order to define the knowledge gaps present. The possibilities to fill these knowledge gaps were studied which resulted in carrying out experiments on two interesting influences on the dynamic plume: stripping and vortex divergence. Stripping is defined as the removal of material from a dynamic plume by the cross flow. Its process is not well understood and the few quantifications presented in literature were found to have no proper base. To obtain more information laboratory experiments were performed at a 1:100 distorted Richardson scale. The experiments were partly hindered by the limited flume dimensions of the experimental setup, but the tests yielded interesting observations. Vortex divergence is depending on the strength of the vortex pair that is formed when a plume is bent over by a cross flow. In homogenous surroundings the plume is said to be non-bifurcating, but the vortices of the vortex pair are diverging at a near constant rate. This divergence was already observed in the stripping experiments and was further investigated in extra specialized experiments. Next to that the need and possibility for an extension of the CORMIX model to include this divergence was investigated.Civil Engineering and Geoscience
Erratum to: High rates of clinically relevant incidental findings by total-body CT scanning in trauma patients: Results of the REACT-2 trial
No full textA technical error led to incorrect rendering of the author group in this article. The correct authorship is as follows: K. Treskes1, S.A. Bos1, L.F.M. Beenen2, J.C. Sierink1, M.J.R. Edwards3, B.J.A. Beuker4 , G.S.R. Muradin5, J. Hohmann6, J.S.K. Luitse1, M.W. Hollmann7, M.G.W. Dijkgraaf8, J.C. Goslings1, on behalf of the REACT-2 study group The collaborators are: T.P. Saltzherr, T. Schepers, V.M. de Jong, R. van Vugt, M. Brink, J. Peters, M. El Moumni, J.S. Harbers, K.W. Wendt, E.M.M. van Lieshout, M.J. Elzinga, E.H. Jansen, C. Zähringer, N. Bless, R. Bingisser The original publication has been corrected
Branching-type polling systems with large setups
No full textThe present paper considers the class of polling systems that allow a multi-type branching process interpretation. This class contains the classical exhaustive and gated policies as special cases. We present an exact asymptotic analysis of the delay distribution in such systems, when the setup times tend to infinity. The motivation to study these setup time asymptotics in polling systems is based on the specific application area of base-stock policies in inventory control. Our analysis provides new and more general insights into the behavior of polling systems with large setup times. © 2009 The Author(s)
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
No full textContributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
Estudo dos factores de risco na ocorrência de osteoporose
No full textA osteoporose é uma doença músculo-esqueléticas progressiva. É considerada mundialmente
como um problema de saúde pública que afecta um grande número de pessoas, em especial a população
a partir dos 50 anos de idade e, maioritariamente mulheres. Por ser uma doença silenciosa, o
primeiro sinal é geralmente, a ocorrência de fracturas, quando a doença já está instalada. Perante isto,
é muito importante reconhecer quais os factores que contribuem para o aumento do risco de sofrer
fracturas, de forma a poderem ser tomadas as devidas medidas preventivas. O padrão da ocorrência
da osteoporose numa população pode estar relacionado com vários factores, incluindo factores sócioeconómicos,
como o rendimento, o nível de escolaridade; e factores relacionados com o estilo de vida,
como a dieta, a actividade física e a sua diversificação. Estes e outros aspectos têm sido cada vez mais
identificados como determinantes na ocorrência de várias doenças, incluindo a osteoporose.
O principal objectivo deste trabalho é estudar a influência de factores de risco na ocorrência da
osteopenia e osteoporose. Os principais factores de risco considerados foram: a idade, idade da menopausa,
índice da massa corporal, e alguns comportamentos alimentares. Em particular, estudou-se o
comportamento de pacientes com idade superior a 60 anos e do género feminino. O risco de fractura,
por fragilidade óssea, está associado ao grau de diminuição de massa óssea do indivíduo. Esse valor
determina-se através da densidade mineral óssea (BMD). Com bases nos inquéritos obtidos na clínica
Dr. Krug Noronha foi efectuada uma análise estatística e posteriormente foram feitas diversas propostas
de modelação matemática para caracterizar o risco de fractura associada à osteoporose. Estas
modelações foram testadas com novos dados, para averiguar a sua viabilidade.
Durante o período de elaboração deste trabalho, o autor estagiou na clínica imagiologia do Dr.
Telmo Moreno, com objectivo de se familiarizar, com as técnicas de densitometria. Osteoporosis is a disease of progressive skeletal muscle. It is regarded worldwide as a public
health problem that affects a large number of people, especially people up on 50 years old and mostly
women. Because it is a silent disease, the first sign is, usually, the occurrence of fractures, when
the disease is already installed. In view of this, it is very important to recognize the factors that
contribute to the increased fracture risk, so that it can be made appropriate preventative measures.
The occurrence pattern of osteoporosis in a population may be related to several factors, including
socio-economic factors such as income, educational attainment, and factors related to lifestyle such as
diet, physical activity and its diversification. These and other aspects have increasingly been identified
as determining the occurrence of various diseases, including osteoporosis.
The main objective of this work is to study the influence of risk factors in the occurrence of
osteopenia and osteoporosis. The main risk factors considered were: age, age at menopause, body
mass index, and some eating behaviors. In particular, we studied the behavior of patients up on 60
years old and female gender. The risk of fracture is associated with the decrease degree in bone mass
of the person. This value is determined by bone mineral density (BMD).With the bases obtained
in clinical Dr. Krug Noronha investigations has been carried out statistical analysis and there are
made several proposals for mathematical modeling to characterize the risk of fracture associated with
osteoporosis. These modulations were tested with new data, to ascertain its viability. During the
preparation of this work, the author interned in clinical imaging Telmo Dr. Moreno, aiming to become
familiar with the densitometry techniques
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
No full textContributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
The transversal role of the “digital data” working group: L'écosystème nDame pour l'analyse et la mémorisation du chantier scientifique
No full textContributeurs : Violette Abergel, Pierre Arese, Emile Blettery, Mathieu Brédif, Sidonie Christophe, Florent Comte, Livio De Luca, Anthony Eberlin, Loïc Espinasse, Valérie Gouet-Brunet, Xavier Granier, Antoine Gros, Anaïs Guillem, Melvin Hersent, Kévin Jacquot, Olivier Malavergne, Olivier Marlet, El Mustapha Mouaddib, Ariane Néroulidis, Anthony Pamart, Marc Pierrot-Desseilligny, Xavier Rodier, Miled Rousset, Roxane Roussel, Kévin Réby, Renato Saleri, Sarah Tournon, Dan Vodislav, Laura Willot, Aurore Pfitzmann //Author contributions : Conceptualization: L.D.L.; Data curation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Formal analysis: ; Funding acquisition: L.D.L.; Investigation: V.A., P.A., E.B., M.B., S.C., F.C., L.D.L., A.E., L.E., V.G.B., X.G., A.Gr., A.Gu., M.H., K.J., O.Mal., O.Mar., E.M.M., A.N., A.Pa., M.P.D., X.R., M.R., R.R., K.R., R.S., S.T., D.V., L.W.; Methodology: ; Project administration: L.D.L., A.Pf.; Resources: ; Software: ; Supervision: L.D.L.; Validation: L.D.L.; Visualization: ; Writing – original draft: L.D.L., A.N.; Writing – review & editing: L.D.L.International audiencePrésentation des missions menées par le Groupe de Travail "Données numériques" dans le cadre du Chantier Scientifique de Notre-Dame de Paris
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