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Ten percent of breast cancers are of hereditary genetic origin, with a majority of cancers carrying a mutation inactivating BRCA1 or BRCA2 genes. These genes encode enzymes that are normally involved in the initiation of DNA damage repair. Therefore, about 80% of women carrying BRCA1/2 mutations develop breast cancer during their life. Once the mutation is detected, the prophylactic strategy consists in a close follow-up possibly assorted to preventive surgery. In case of a declared cancer, the therapeutic treatment is the common one for breast cancer. Yet, specific treatment is possible. Indeed, poly (ADP-ribose) polymerase (PARP) inhibitors are a new class of anticancer agents with a high cytotoxic potential against BRCA-mutated cells linked to their ability to further repress DNA damage repair, thus increasing the chance of lethal mutations in cancers cells (synthetic lethality). Our graduation thesis details the major PARP inhibitors (Iniparib®, Olaparib®, Niraparib®, Veliparib®), having already shown therapeutic activity in clinical situation. Dix pourcents des cancers du sem sont d'origine génétique héréditaire, avec une majorité de cancers porteurs d;une mutation inactivatrice des gènes BRCA 1 ou BRCA2. Ces gènes codent des enzymes normalement impliquées dans l'initiation de la réparation des lésions affectant l'ADN. En conséquence, environ 80% des patientes porteuses de mutations BRCAl/2 développent un cancer du sein au cours de leur vie. En cas de mutation avérée, la stratégie prophylactique consiste en un suivi régulier associé éventuellement à une chirurgie préventive. En cas de cancer déclaré, le traitement appliqué est le traitement classique du cancer du sein. Or, un traitement spécifique est possible. En effet, les inhibiteurs de poly(ADP ribose) polymérases (PARP) sont une nouvelle classe d'anticancéreux à fort potentiel cytotoxique pour les cellules BRCA mutées, puisqu'en réprimant la réparation de l'ADN ils augmentent la chance de la survenue de mutations létales pour les cellules cancéreuses (létalité synthétique). Notre mémoire détaille les principaux inhibiteurs de PARP (Iniparib®, Olaparib®, Niraparib®, et Veliparib®) ayant à ce j our montré une activité thérapeutiq ue en situation clinique.
RNA Polymerase I --- Breast Neoplasms --- BRC-1 protein, C elegans
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In November 2007 Adam Moore was conducting fieldwork in Mostar when the southern Bosnian city was rocked by two days of violent clashes between Croat and Bosniak youth. It was not the city's only experience of ethnic conflict in recent years. Indeed, Mostar's problems are often cited as emblematic of the failure of international efforts to overcome deep divisions that continue to stymie the postwar peace process in Bosnia. Yet not all of Bosnia has been plagued by such troubles. Mostar remains mired in distrust and division, but the Brcko District in the northeast corner of the country has become a model of what Bosnia could be. Its multiethnic institutions operate well compared to other municipalities, and are broadly supported by those who live there; it also boasts the only fully integrated school system in the country. What accounts for the striking divergence in postwar peacebuilding in these two towns? Moore argues that a conjunction of four factors explains the contrast in outcomes in Mostar and Brcko: The design of political institutions, the sequencing of political and economic reforms, local and regional legacies from the war, and the practice and organization of international peacebuilding efforts in the two towns. Differences in the latter, in particular, have profoundly shaped relations between local political elites and international officials. Through a grounded analysis of localized peacebuilding dynamics in these two cities Moore generates a powerful argument concerning the need to rethink how peacebuilding is done-that is, a shift in the habitus or culture that governs international peacebuilding activities and priorities today.
International agencies --- Peace-building --- Building peace --- Peacebuilding --- Conflict management --- Peace --- Peacekeeping forces --- Associations, International --- IGOs (Intergovernmental organizations) --- Institutions, International --- Inter-governmental organizations --- Intergovernmental organizations --- International administration --- International associations --- International governmental organizations --- International institutions --- International organizations --- International unions --- Organizations, International --- Specialized agencies of the United Nations --- International cooperation --- Interorganizational relations --- Non-state actors (International relations) --- International organization --- Mostar (Bosnia and Herzegovina) --- Brčko (Bosnia and Herzegovina) --- Brchko (Bosnia and Herzegovina) --- Ethnic relations. --- Brčko (Bosnia and Hercegovina) --- Mostar (Bosnia and Hercegovina) --- Brčko (Bosnia and Hercegovina) --- Brcko (Bosnia and Hercegovina)
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Kwaliteitszorg. --- Production management --- Business policy --- IKZ (integrale kwaliteitszorg) --- Academic collection --- 658.56 --- BRC Global Standard --- CE-markering --- EMAS --- HACCP --- IKZ --- ISO 14000 --- ISO 9000 --- Kwaliteitsbeheersing --- Kwaliteitszorg --- Planning --- 658.56 Quality control. Control of tool issue, materials, products etc. --- Quality control. Control of tool issue, materials, products etc. --- Kwaliteitsbeleid --- Kwaliteitsmanagement --- Integrale kwaliteitszorg --- Kwaliteit --- Kwaliteit (proceskenmerk)
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In this master's thesis, reinforcement learning (RL) methods are used to learn (near-)optimal policies to act in several Markov decision processes (MDPs) and partially observable Markov decision processes (POMDPs). More precisely, Q-learning and recurrent Q-learning techniques are used. Some of the considered POMDPs require a high-memorisation ability in order to achieve optimal decision making. In POMDPs, RL techniques usually rely on approximating functions that take as input sequences of observations with variable length. Recurrent neural networks (RNNs) are thus a clever choice of such approximators. This work is based on the recently introduced bistable recurrent cells, which have been empirically shown to provide a significantly better long term memory than standard cells, such as the long short-term memory (LSTM) and the gated recurrent unit (GRU). These cells are named the bistable recurrent cell (BRC) and the recurrently neuromodulated BRC (nBRC). First, by importing these cells for the first time in the RL setting, it is empirically shown that they also provide a significant advantage in memory-demanding POMDPs, in comparison to LSTM and GRU. Second, the ability of the RNN to represent a belief distribution over the states of the POMDP is studied. It is achieved by evaluating the mutual information between the hidden states of the RNN and the belief filtered on the successive observations. This analysis is thus strongly anchored in the theory of information and the theory of optimal control for POMDPs. Third, as a complement to this research project, a new target update is proposed for Q-learning algorithms with target networks, for both reactive and recurrent policies. This new update speeds up learning, especially in environments with sparse rewards.
Reinforcement Learning --- Belief Filtering --- POMDP --- Deep Recurrent Q-Network --- DRQN --- Online Fitted Q-Iteration --- OFQI --- RNN --- Bistable Recurrent Cell --- BRC --- Q-Learning --- Markov Decision Process --- MDP --- Bistability --- Target Network --- Partially Observable Markov Decision Process --- Recurrent Neural Network --- Mutual Information --- RL --- Ingénierie, informatique & technologie > Sciences informatiques
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Concrete is one of the most widely used construction material in the word today. The research in concrete follows the environment impact, economy, population and advanced technology. This special issue presents the recent numerical study for research in concrete. The research topic includes the finite element analysis, digital concrete, reinforcement technique without rebars and 3D printing.
Technology: general issues --- History of engineering & technology --- cementitious composite --- nano-SiO2 --- PVA fiber --- durability evaluation --- adaptive neuro-fuzzy inference system --- aggregate type --- specimen shape --- specimen size --- compressive strength --- concrete mechanical properties --- concrete composites --- waste metalised polypropylene fibres --- durability --- sulphate and acid attacks --- palm oil fuel ash --- fiber-reinforced concrete --- blast resistance --- lattice discrete particle model-fiber --- damage mode --- contact detonation --- concrete brick --- FGD gypsum --- construction and demolition waste --- oil palm trunks --- sugarcane bagasse ash --- sensitivity analysis --- gene expression programming --- multiple linear and non-linear regression --- green concrete --- concrete-filled steel tube (CFST) --- axial capacity --- genetic engineering programming (GEP) --- Euler's buckling load --- GEP-based model --- calcium silicate hydrate --- simulation --- concrete --- corrosion inhibitor --- grand canonical Monte Carlo method --- molecular dynamics --- adsorption --- coupled RBSM and solid FEM model --- PBL shear connector --- shear strength --- lateral pressures --- failure mechanism --- bamboo-reinforced concrete (BRC) --- stiffness prediction --- artificial neural network (ANN) --- radioactive waste --- long-term performance --- degradation --- modeling --- finite element analysis --- mechanical properties --- mechanisms --- diffusion --- material properties --- sodium alginate --- basalt fiber --- temperature --- impact resistance --- pre-packed aggregate fibre-reinforced concrete --- strength --- long-term shrinkage --- microstructure --- waste polypropylene fibres --- cohesion --- angle of shear deformation --- Mohr-Coulomb model --- induced tensile strength --- concrete samples --- Brazilian test --- finite element method (FEM) --- artificial neural networks --- confined concrete --- strength model --- FRP --- strain model --- RMSE --- forta fibers --- synthetic fibers --- hybrid fiber reinforced concrete --- constitutive modeling --- uniaxial test --- slump test --- pore structure --- water absorption --- MIP --- fractal dimension --- pore connectivity --- T-shaped reinforced concrete beams --- CFRP --- numerical analysis --- non-destructive test (NDT) --- elastic wave --- air-entrained rubberized concrete --- stress-strain curve --- concrete failure --- damage of material --- effective modulus of elasticity --- effective stress --- hybrid-fiber-reinforced concrete --- shaft lining --- numerical simulation --- orthogonal test --- ultimate capacity --- cementitious composite --- nano-SiO2 --- PVA fiber --- durability evaluation --- adaptive neuro-fuzzy inference system --- aggregate type --- specimen shape --- specimen size --- compressive strength --- concrete mechanical properties --- concrete composites --- waste metalised polypropylene fibres --- durability --- sulphate and acid attacks --- palm oil fuel ash --- fiber-reinforced concrete --- blast resistance --- lattice discrete particle model-fiber --- damage mode --- contact detonation --- concrete brick --- FGD gypsum --- construction and demolition waste --- oil palm trunks --- sugarcane bagasse ash --- sensitivity analysis --- gene expression programming --- multiple linear and non-linear regression --- green concrete --- concrete-filled steel tube (CFST) --- axial capacity --- genetic engineering programming (GEP) --- Euler's buckling load --- GEP-based model --- calcium silicate hydrate --- simulation --- concrete --- corrosion inhibitor --- grand canonical Monte Carlo method --- molecular dynamics --- adsorption --- coupled RBSM and solid FEM model --- PBL shear connector --- shear strength --- lateral pressures --- failure mechanism --- bamboo-reinforced concrete (BRC) --- stiffness prediction --- artificial neural network (ANN) --- radioactive waste --- long-term performance --- degradation --- modeling --- finite element analysis --- mechanical properties --- mechanisms --- diffusion --- material properties --- sodium alginate --- basalt fiber --- temperature --- impact resistance --- pre-packed aggregate fibre-reinforced concrete --- strength --- long-term shrinkage --- microstructure --- waste polypropylene fibres --- cohesion --- angle of shear deformation --- Mohr-Coulomb model --- induced tensile strength --- concrete samples --- Brazilian test --- finite element method (FEM) --- artificial neural networks --- confined concrete --- strength model --- FRP --- strain model --- RMSE --- forta fibers --- synthetic fibers --- hybrid fiber reinforced concrete --- constitutive modeling --- uniaxial test --- slump test --- pore structure --- water absorption --- MIP --- fractal dimension --- pore connectivity --- T-shaped reinforced concrete beams --- CFRP --- numerical analysis --- non-destructive test (NDT) --- elastic wave --- air-entrained rubberized concrete --- stress-strain curve --- concrete failure --- damage of material --- effective modulus of elasticity --- effective stress --- hybrid-fiber-reinforced concrete --- shaft lining --- numerical simulation --- orthogonal test --- ultimate capacity
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Concrete is one of the most widely used construction material in the word today. The research in concrete follows the environment impact, economy, population and advanced technology. This special issue presents the recent numerical study for research in concrete. The research topic includes the finite element analysis, digital concrete, reinforcement technique without rebars and 3D printing.
Technology: general issues --- History of engineering & technology --- cementitious composite --- nano-SiO2 --- PVA fiber --- durability evaluation --- adaptive neuro-fuzzy inference system --- aggregate type --- specimen shape --- specimen size --- compressive strength --- concrete mechanical properties --- concrete composites --- waste metalised polypropylene fibres --- durability --- sulphate and acid attacks --- palm oil fuel ash --- fiber-reinforced concrete --- blast resistance --- lattice discrete particle model-fiber --- damage mode --- contact detonation --- concrete brick --- FGD gypsum --- construction and demolition waste --- oil palm trunks --- sugarcane bagasse ash --- sensitivity analysis --- gene expression programming --- multiple linear and non-linear regression --- green concrete --- concrete-filled steel tube (CFST) --- axial capacity --- genetic engineering programming (GEP) --- Euler’s buckling load --- GEP-based model --- calcium silicate hydrate --- simulation --- concrete --- corrosion inhibitor --- grand canonical Monte Carlo method --- molecular dynamics --- adsorption --- coupled RBSM and solid FEM model --- PBL shear connector --- shear strength --- lateral pressures --- failure mechanism --- bamboo-reinforced concrete (BRC) --- stiffness prediction --- artificial neural network (ANN) --- radioactive waste --- long-term performance --- degradation --- modeling --- finite element analysis --- mechanical properties --- mechanisms --- diffusion --- material properties --- sodium alginate --- basalt fiber --- temperature --- impact resistance --- pre-packed aggregate fibre-reinforced concrete --- strength --- long-term shrinkage --- microstructure --- waste polypropylene fibres --- cohesion --- angle of shear deformation --- Mohr–Coulomb model --- induced tensile strength --- concrete samples --- Brazilian test --- finite element method (FEM) --- artificial neural networks --- confined concrete --- strength model --- FRP --- strain model --- RMSE --- forta fibers --- synthetic fibers --- hybrid fiber reinforced concrete --- constitutive modeling --- uniaxial test --- slump test --- pore structure --- water absorption --- MIP --- fractal dimension --- pore connectivity --- T-shaped reinforced concrete beams --- CFRP --- numerical analysis --- non-destructive test (NDT) --- elastic wave --- air-entrained rubberized concrete --- stress-strain curve --- concrete failure --- damage of material --- effective modulus of elasticity --- effective stress --- hybrid-fiber-reinforced concrete --- shaft lining --- numerical simulation --- orthogonal test --- ultimate capacity --- n/a --- Euler's buckling load --- Mohr-Coulomb model
Choose an application
Concrete is one of the most widely used construction material in the word today. The research in concrete follows the environment impact, economy, population and advanced technology. This special issue presents the recent numerical study for research in concrete. The research topic includes the finite element analysis, digital concrete, reinforcement technique without rebars and 3D printing.
cementitious composite --- nano-SiO2 --- PVA fiber --- durability evaluation --- adaptive neuro-fuzzy inference system --- aggregate type --- specimen shape --- specimen size --- compressive strength --- concrete mechanical properties --- concrete composites --- waste metalised polypropylene fibres --- durability --- sulphate and acid attacks --- palm oil fuel ash --- fiber-reinforced concrete --- blast resistance --- lattice discrete particle model-fiber --- damage mode --- contact detonation --- concrete brick --- FGD gypsum --- construction and demolition waste --- oil palm trunks --- sugarcane bagasse ash --- sensitivity analysis --- gene expression programming --- multiple linear and non-linear regression --- green concrete --- concrete-filled steel tube (CFST) --- axial capacity --- genetic engineering programming (GEP) --- Euler’s buckling load --- GEP-based model --- calcium silicate hydrate --- simulation --- concrete --- corrosion inhibitor --- grand canonical Monte Carlo method --- molecular dynamics --- adsorption --- coupled RBSM and solid FEM model --- PBL shear connector --- shear strength --- lateral pressures --- failure mechanism --- bamboo-reinforced concrete (BRC) --- stiffness prediction --- artificial neural network (ANN) --- radioactive waste --- long-term performance --- degradation --- modeling --- finite element analysis --- mechanical properties --- mechanisms --- diffusion --- material properties --- sodium alginate --- basalt fiber --- temperature --- impact resistance --- pre-packed aggregate fibre-reinforced concrete --- strength --- long-term shrinkage --- microstructure --- waste polypropylene fibres --- cohesion --- angle of shear deformation --- Mohr–Coulomb model --- induced tensile strength --- concrete samples --- Brazilian test --- finite element method (FEM) --- artificial neural networks --- confined concrete --- strength model --- FRP --- strain model --- RMSE --- forta fibers --- synthetic fibers --- hybrid fiber reinforced concrete --- constitutive modeling --- uniaxial test --- slump test --- pore structure --- water absorption --- MIP --- fractal dimension --- pore connectivity --- T-shaped reinforced concrete beams --- CFRP --- numerical analysis --- non-destructive test (NDT) --- elastic wave --- air-entrained rubberized concrete --- stress-strain curve --- concrete failure --- damage of material --- effective modulus of elasticity --- effective stress --- hybrid-fiber-reinforced concrete --- shaft lining --- numerical simulation --- orthogonal test --- ultimate capacity --- n/a --- Euler's buckling load --- Mohr-Coulomb model
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