From the Tully-Fisher relation to the Fundamental Plane through Mergers

We set up a series of self-consistent N-body simulations to investigate the fundamental plane of merger remnants of spiral galaxies. These last ones are obtained from a theoretical Tully-Fisher relation at z=1, assuming a constant mass-to-light ratio within the LambdaCDM cosmogony. Using a Sersic growth curve and an orthogonal fitting method, we found that the fundamental plane of our merger remnants is described by the relation Re ~ sigma^{1.48} Ie^{-0.75} which is in good agreement with that reported from the Sloan Digital Sky Survey Re ~ sigma^{1.49} Ie^{-0.75}. However, the R^{1/4}-profile leads to a fundamental plane given by Re ~ sigma^{1.79} Ie^{-0.60}. In general, the correlation found in our merger remnants arises from homology breaking (V^2 ~ sigma^nu, Rg ~ Re^eta) in combination with a mass scaling relation between the total and luminous mass, $M ~ ML^gamma. Considering an orthogonal fitting method, it is found that 1.74<nu<1.79, 0.21<eta<0.52 and 0.80<gamma<0.90 depending on the adopted profile (Sersic or R^{1/4}).Comment: 5 pages and 2 figures. Accepted version in MNRAS Letter

Molecular Dynamics Simulations Towards The Understanding of the Cis-Trans Isomerization of Proline As A Conformational Switch For The Regulation of Biological Processes

Pin1 is an enzyme central to cell signaling pathways because it catalyzes the cis–trans isomerization of the peptide ω-bond in phosphorylated serine/threonine-proline motifs in many proteins. This regulatory function makes Pin1 a drug target in the treatment of various diseases. The effects of phosphorylation on Pin1 substrates and the basis for Pin1 recognition are not well understood. The conformational consequences of phosphorylation on Pin1 substrate analogues and the mechanism of recognition by the catalytic domain of Pin1 were determined using molecular dynamics simulations. Phosphorylation perturbs the backbone conformational space of Pin1 substrate analogues. It is also shown that Pin1 recognizes specific conformations of its substrate by conformational selection. Dynamical correlated motions in the free Pin1 enzyme are present in the enzyme of the enzyme–substrate complex when the substrate is in the transition state configuration. This suggests that these motions play a significant role during catalysis. These results provide a detailed mechanistic understanding of Pin1 substrate recognition that can be exploited for drug design purposes and further our understanding of the subtleties of post-translational phosphorylation and cis–trans isomerization. Results from accelerated molecular dynamics simulations indicate that catalysis occurs along a restricted path of the backbone configuration of the substrate, selecting specific subpopulations of the conformational space of the substrate in the active site of Pin1. The simulations show that the enzyme–substrate interactions are coupled to the state of the prolyl peptide bond during catalysis. The transition-state configuration of the substrate binds better than the cis and trans states to the catalytic domain of Pin1. This suggests that Pin1 catalyzes its substrate by noncovalently stabilizing the transition state. These results suggest an atomistic detail understanding of the catalytic mechanism of Pin1 that is necessary for the design of novel inhibitors and the treatment of several diseases. Additionally, a set of constant force biased molecular dynamics simulations are presented to explore the kinetic properties of a Pin1 substrate and its unphosphorylated analogue. The simulations indicate that the phosphorylated Pin1 substrate isomerizes slower than the unphosphorylated analogue. This is due to the lower diffusion constant for the phosphorylated Pin1 substrate

Formas elementales de la democracia municipal en américa latina: Cundinamarca, México y Miranda

La tendencia mundial por la democracia política representativa y electoral dejó sentir sus efectos en una buena cantidad de países del mundo occidental, sobre todo de Europa, incluyendo a la parte oriental, y de América, pero su influencia fue limitada en Asia y África e incluso rechazada en los países islámicos, donde “la política y la religión, lo espiritual y lo temporal, son una sola cosaLa tercera ola de democratización mundial y la caída del socialismo real pusieron a la democracia en el centro de la atención internacional. Los seguidores de las ideas socialistas tomaron a la democracia como una estrategia viable para contraponerla al capitalismo deshumanizante que ganó la guerra fría. Por su parte, las naciones imperialistas, ya sin la amenaza de los países comunistas, pugnaron por la implantación de sistemas democráticos donde aún sobrevivían regímenes autoritarios

Inferring efficient operating rules in multireservoir water resource systems: A review

[EN] Coordinated and efficient operation of water resource systems becomes essential to deal with growing demands and uncertain resources in water-stressed regions. System analysis models and tools help address the complexities of multireservoir systems when defining operating rules. This paper reviews the state of the art in developing operating rules for multireservoir water resource systems, focusing on efficient system operation. This review focuses on how optimal operating rules can be derived and represented. Advantages and drawbacks of each approach are discussed. Major approaches to derive optimal operating rules include direct optimization of reservoir operation, embedding conditional operating rules in simulation-optimization frameworks, and inferring rules from optimization results. Suggestions on which approach to use depend on context. Parametrization-simulation-optimization or rule inference using heuristics are promising approaches. Increased forecasting capabilities will further benefit the use of model predictive control algorithms to improve system operation. This article is categorized under: Engineering Water > Water, Health, and Sanitation Engineering Water > MethodsThe study has been partially funded by the ADAPTAMED project (RTI2018-101483-B-I00) from the Ministerio de Ciencia, Innovacion Universidades (MICINN) of Spain, and by the postdoctoral program (PAID-10-18) of the Universitat Politecnica de Valencia (UPV).Macian-Sorribes, H.; Pulido-Velazquez, M. (2019). Inferring efficient operating rules in multireservoir water resource systems: A review. Wiley Interdisciplinary Reviews Water. 7(1):1-24. https://doi.org/10.1002/wat2.1400S12471Aboutalebi, M., Bozorg Haddad, O., & Loáiciga, H. A. (2015). Optimal Monthly Reservoir Operation Rules for Hydropower Generation Derived with SVR-NSGAII. 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Some Comments on Linear Decision Rules and Chance Constraints. Water Resources Research, 6(2), 668-671. doi:10.1029/wr006i002p00668Loucks

Integrating Historical Operating Decisions and Expert Criteria into a DSS for the Management of a multireservoir System

[EN] This paper presents a collaborative framework to couple historical records with expert knowledge and criteria in order to define a Decision Support System (DSS) to support the seasonal operation of the reservoirs of the Jucar river system. The framework relies on the co-development of a DSS tool that is able to explicitly reproduce the decision-making processes and criteria considered by the system operators. Fuzzy logic is used to derive the implicit operating rules followed by the managers based on historical decisions and expert knowledge obtained in the co-development process, combining both sources of information. Fuzzy regression is used to forecast future inflows based on the meteorological and hydrological variables considered by the system operators in their decisions on reservoir operation. The DSS was validated against historical records. The developed framework and tools offer the system operators a way to predefine a set of feasible ex ante management decisions, as well as to explore the consequences associated with any single choice. In contrast with other approaches, the fuzzy-based method used is able to embed inflow uncertainty and its effects in the definition of the decisions on the system operation. Furthermore, the method is flexible enough to be applied to other water resource systems.The authors wish to acknowledge the Jucar River Basin Management Authority (Confederacion Hidrografica del Joecar, CHJ), especially its Operation Office's (Oficina de Explotacion) system operators Jose Maria Benlliure Moreno and Juan Fullana Montoro, for their contribution to the whole process, valuable suggestions, and provision of the necessary data to carry out the study. The study has been partially supported by the IMPADAPT project (CGL2013-48424-C2-1-R) with Spanish MINECO (Ministerio de Economia y Competitividad) and FEDER funds. It has also received funding from the European Union's Horizon 2020 research and innovation programme under the IMPREX project (GA 641.811).Macian-Sorribes, H.; Pulido-Velazquez, M. (2017). Integrating Historical Operating Decisions and Expert Criteria into a DSS for the Management of a multireservoir System. Journal of Water Resources Planning and Management. 143(1). https://doi.org/10.1061/(ASCE)WR.1943-5452.0000712S143

Simulation of operating rules and discretional decisions using a fuzzy rule-based system integrated into a water resources management model

Oral presentation performed by Hector Macian-Sorribes at the EGU General Assembly 201