Principal-agent dynamic interaction in the context of the lifecycle operation of infrastructure systems

A Public-private partnership (PPP) is contract framework designed to carry out public works in the hope that the more advanced knowledge and financial support of private agents may be advantageous to develop better infrastructure projects that serve public needs. This relationship, which is embodied by a principal (e.g., government) and an agent (e.g., independent contractor), is inherently conflictive. Three main factors give rise to such conflict: the interests of the public and private party do not generally coincide, there is information asymmetry between them and their interaction unfolds in environments under uncertainty. Traditionally, the regulations put forth to mitigate the cost overruns caused by moral hazard, low performance levels and litigations are determined by methods which neither take into account a formal mathematical description of the interaction among participants nor the deterioration of physical components and their susceptibility to natural hazards. In this paper we propose an alternative approach that addresses these issues. We describe an agent-based model which represents the infrastructure system as an entity that is affected by the operations of three players: principal, agent and nature. They perform operations on the infrastructure, based on their own strategies and perceived payoffs, but are bound by a contract that constraint their actions. The purpose of the model is to simulate the interaction history among players and compute the resulting outcome in the form of the utility that each player receives. The model can be used within an optimization routine to determine which contractual rules maximize the utility for both players simultaneously

Dual refractive index and viscosity sensing using polymeric nanofibers optical structures

Porous materials have demonstrated to be ideal candidates for the creation of optical sensors with very high sensitivities. This is due both to the possibility of infiltrating the target substances into them and to their notable surface-to-volume ratio that provides a larger biosensing area. Among porous structures, polymeric nanofibers (NFs) layers fabricated by electrospinning have emerged as a very promising alternative for the creation of low-cost and easy-to-produce high performance optical sensors, for example, based on Fabry-Perot (FP) interferometers. However, the sensing performance of these polymeric NFs sensors is limited by the low refractive index contrast between the NFs porous structure and the target medium when performing in-liquid sensing experiments, which determines a very low amplitude of the FP interference fringes appearing in the spectrum. This problem has been solved with the deposition of a thin metal layer (∼ 3 nm) over the NFs sensing layer. We have successfully used these metal-coated FP NFs sensors to perform several real-time and in-flow refractive index sensing experiments. From these sensing experiments, we have also determined that the sponge-like structure of the NFs layer suffers an expansion/compression process that is dependent of the viscosity of the analyzed sample, what thus gives the possibility to perform a simultaneous dual sensing of refractive index and viscosity of a fluid

Importancia del ablandamiento térmico en simulaciones de impactos en placas de acero a altas temperaturas

En el presente trabajo se presenta un estudio experimental y numérico de impactos balísticos sobre placas de acero inoxidable martensítico a altas temperaturas (400ºC y 700ºC), que pone de manifiesto la importancia del ablandamiento térmico en simulaciones de impactos a altas temperaturas. Mediante un estudio metalográfico de la zona de impacto, se ha observado la aparición de bandas adiabáticas de cortante formadas por el aumento brusco de la temperatura debido a la acumulación del trabajo plástico en el interior del material. La correcta predicción en la formación de estas bandas durante el proceso de penetración es crítica a la hora de obtener resultados representativos de los experimentos realizados. Basándose en datos experimentales de ensayos previamente realizados, se ha calibrado un modelo de material de Johnson-Cook (JC) para su uso con simulaciones numéricas en el código no lineal de elementos finitos LSDYNA. Mediante estas simulaciones numéricas se demuestra la importancia del ablandamiento térmico en el proceso de perforación de placas, al igual que la incapacidad que un modelo tipo JC tiene para representar el dicho ablandamiento para material estudiado. Esta investigación presenta, finalmente, una modificación a un modelo tipo JC programado como subrutina de material de usuario para LS-DYNA que permite simular correctamente estos procesos de impacto a alta temperatur

Programmable Integrated Photonics for Topological Hamiltonians

A variety of topological Hamiltonians have been demonstrated in photonic platforms, leading to fundamental discoveries and enhanced robustness in applications such as lasing, sensing, and quantum technologies. To date, each topological photonic platform implements a specific type of Hamiltonian with inexistent or limited reconfigurability. Here, we propose and demonstrate different topological models by using the same reprogrammable integrated photonics platform, consisting of a hexagonal mesh of silicon Mach-Zehnder interferometers with phase-shifters. We specifically demonstrate a one-dimensional Su-Schrieffer-Heeger Hamiltonian supporting a localized topological edge mode and a higher-order topological insulator based on a two-dimensional breathing Kagome Hamiltonian with three corner states. These results highlight a nearly universal platform for topological models that may fast-track research progress toward applications of topological photonics and other coupled systems

Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads

The use of large-scale supercomputing architectures is a hard requirement for scientific computing Big-Data applications. An example is genomics analytics, where millions of data transformations and tests per patient need to be done to find relevant clinical indicators. Therefore, to ensure open and broad access to high-performance technologies, governments, and academia are pushing toward the introduction of novel computing architectures in large-scale scientific environments. This is the case of RISC-V, an open-source and royalty-free instruction-set architecture. To evaluate such technologies, here we present the Variant-Interaction Analytics use case benchmarking suite and datasets. Through this use case, we search for possible genetic interactions using computational and statistical methods, providing a representative case for heavy ETL (Extract, Transform, Load) data processing. Current implementations are implemented in x86-based supercomputers (e.g. MareNostrum-IV at the Barcelona Supercomputing Center (BSC)), and future steps propose RISC-V as part of the next MareNostrum generations. Here we describe the Variant Interaction Use Case, highlighting the characteristics leveraging high-performance computing, indicating the caveats and challenges towards the next RISC-V developments and designs to come from a first comparison between x86 and RISC-V architectures on real Variant Interaction executions over real hardware implementations

Brn-3b enhances the pro-apoptotic effects of p53 but not its induction of cell cycle arrest by cooperating in trans-activation of bax expression

The Brn-3a and Brn-3b transcription factor have opposite and antagonistic effects in neuroblastoma cells since Brn-3a is associated with differentiation whilst Brn-3b enhances proliferation in these cells. In this study, we demonstrate that like Brn-3a, Brn-3b physically interacts with p53. However, whereas Brn-3a repressed p53 mediated Bax expression but cooperated with p53 to increase p21(cip1/waf1), this study demonstrated that co-expression of Brn-3b with p53 increases trans-activation of Bax promoter but not p21(cip1/waf1). Consequently co-expression of Brn-3b with p53 resulted in enhanced apoptosis, which is in contrast to the increased survival and differentiation, when Brn-3a is co-expressed with p53. For Brn-3b to cooperate with p53 on the Bax promoter, it requires binding sites that flank p53 sites on this promoter. Furthermore, neurons from Brn-3b knock-out (KO) mice were resistant to apoptosis and this correlated with reduced Bax expression upon induction of p53 in neurons lacking Brn-3b compared with controls. Thus, the ability of Brn-3b to interact with p53 and modulate Bax expression may demonstrate an important mechanism that helps to determine the fate of cells when p53 is induced

The zDHHC family of S-acyltransferases

The discovery of the zDHHC family of S-acyltransferase enzymes has been one of the major breakthroughs in the S-acylation field. Now, more than a decade since their discovery, major questions centre on profiling the substrates of individual zDHHC enzymes (there are 24 ZDHHC genes and several hundred S-acylated proteins), defining the mechanisms of enzyme-substrate specificity and unravelling the importance of this enzyme family for cellular physiology and pathology