Search results for "computational"
showing 10 items of 5884 documents
Logic, Computing and Biology
2015
Logic and Computing are appropriate formal languages for Biology, and we may well be surprised by the strong analogy between software and DNA, and between hardware and the protein machinery of the cell. This chapter examines to what extent any biological entity can be described by an algorithm and, therefore, whether the Turing machine and the halting problem concepts apply. Last of all, I introduce the concepts of recursion and algorithmic complexity, both from the field of computer science, which can help us understand and conceptualise biological complexity.
CFD predictions of turbulent two-phase flow in helical coils
2012
Turbulent two-phase flow in a helical pipe was simulated by means of CFD using the ANSYS-CFX code, based on a finite-volume multi-fluid approach. The focus was on flow patterns and frictional pressure drops; inter-phase heat and mass transfer and heat exchange with the pipe walls were not included and physical properties were assumed constant for each phase. The computational domain included a single, vertical axis, coil turn; the flow was assumed to be fully developed. Geometry and physical conditions were representative of the IRIS nuclear reactor steam generators (saturated water at 58 bar, pressure gradient of 0.1 bar/m). Void fraction and computational options (homogeneous vs. inhomo…
Autecology, lifestyle and hydrodynamics of early vertebrates
2018
Capítulo 1. Introducción general Los vertebrados constituyen uno de los grupos de animales más exitosos, contando con más de 60000 especies distintas y ocupando la gran mayoría de ecosistemas marinos y continentales. Su origen y evolución han sido temas centrales para biólogos y paleontólogos durante décadas, pero las discusiones en este sentido se han visto obstaculizadas porque los grupos actuales (ciclóstomos, condrictios y osteíctios) constituyen solo una pequeña representación de toda la diversidad que existió en el pasado. Por lo tanto, el registro fósil es crucial para arrojar luz sobre estos aspectos permitiendo desvelar el momento y el tempo de la aparición de los diferentes caract…
Rational design and modelling of f-block molecular nanomagnets
2016
Los imanes monomoleculares o moléculas imán, por sus siglas en inglés SMMs, han suscitado una gran atención en los últimos años debido a sus extraordinarias propiedades físicas. Los cristales de este tipo de moléculas se caracterizan por presentar relajación lenta de la magnetización a baja temperatura, así como curvas de histeresis magnética. Estas moléculas se encuentran entre las entidades con comportamiento magnético más complejas, mostrando fenómenos cuánticos tales como efecto túnel en la magnetización, coherencia cuántica o interferencia cuántica. Por esto, se han postulado como candidatos prometedores para el diseño de bits cuánticos (qubits) de espín en computación cuántica. La pri…
Interacting with Augmented Environments
2010
Pervasive systems augment environments by integrating information processing into everyday objects and activities. They consist of two parts: a visible part populated by animate (visitors, operators) or inanimate (AI) entities interacting with the environment through digital devices, and an invisible part composed of software objects performing specific tasks in an underlying framework. This paper shows an ongoing work from the University of Palermo''s Department of Computer Science and Engineering that addresses two issues related to simplifying and broadening augmented environment access.
A Simulation Based Analysis of an Multi Objective Diffusive Load Balancing Algorithm
2018
In this paper, we presented a further development of our research on developing an optimal software-hardware mapping framework. We used the Petri Net model of the complete hardware and software High Performance Computing (HPC) system running a Computational Fluid Dynamics (CFD) application, to simulate the behaviour of the proposed diffusive two level multi-objective load-balancing algorithm. We developed an meta-heuristic algorithm for generating an approximation of the Pareto-optimal set to be used as reference. The simulations showed the advantages of this algorithm over other diffusive algorithms: reduced computational and communication overhead and robustness due to low dependence on u…
Using the Breeder genetic algorithm to optimize a multiple regression analysis model used in prediction of the mesiodistal width of unerupted teeth
2014
For the prediction of the unerupted canine and premolars mesiodistal size, have been proposed different variants of multiple linear regression equations (MLRE). These are based on the amount of the upper and lower permanent incisors with a tooth of the lateral support. Aim of present study was to develop a method for optimization of MLRE, using a genetic algorithm for determining a set of coefficients that minimizes the prediction error for the sum of permanent premolars and canines dimensions from a group of young people in an area Romania's central city represented by Sibiu. To test the proposed method, we used a multiple linear regression equation derived from the estimation method propo…
Implementation and performance of the ATLAS second level jet trigger
2008
ATLAS is one of the four major LHC experiments, designed to cover a wide range of physics topics. In order to cope with a rate of 40 MHz and 25 interactions per bunch crossing, the ATLAS trigger system is divided in three different levels. The first one (LVL1, hardware based) identifies signatures in 2 microseconds that are confirmed by the the following trigger levels (software based). The Second Level Trigger (LVL2) only looks at a region of the space around the LVL1 signature (called Region of Interest or ROI), confirming/rejecting the event in about 10 ms, while the Event Filter (Third Level Trigger, EF) has potential full event access and larger processing times, of the order of 1 s. T…
Secondary structure determination of conserved SARS-CoV-2 RNA elements by NMR spectroscopy
2020
AbstractThe current pandemic situation caused by the Betacoronavirus SARS-CoV-2 (SCoV2) highlights the need for coordinated research to combat COVID-19. A particularly important aspect is the development of medication. In addition to viral proteins, structured RNA elements represent a potent alternative as drug targets. The search for drugs that target RNA requires their high-resolution structural characterization. Using nuclear magnetic resonance (NMR) spectroscopy, a worldwide consortium of NMR researchers aims to characterize potential RNA drug targets of SCoV2. Here, we report the characterization of 15 conserved RNA elements located at the 5′ end, the ribosomal frameshift segment and t…
Improving mRNA-Based Therapeutic Gene Delivery by Expression-Augmenting 3' UTRs Identified by Cellular Library Screening.
2019
Synthetic mRNA has emerged as a powerful tool for the transfer of genetic information, and it is being explored for a variety of therapeutic applications. Many of these applications require prolonged intracellular persistence of mRNA to improve bioavailability of the encoded protein. mRNA molecules are intrinsically unstable and their intracellular kinetics depend on the UTRs embracing the coding sequence, in particular the 3′ UTR elements. We describe here a novel and generally applicable cell-based selection process for the identification of 3′ UTRs that augment the expression of proteins encoded by synthetic mRNA. Moreover, we show, for two applications of mRNA therapeutics, namely, (1) …