Análisis de elementos gráficos de contenido occidental en los glifos de los códices coloniales del centro de México: el caso de los antropónimos castellanos

En este trabajo presentamos el estudio de los glifos nahuas coloniales de antropónimos castellanos que contienen algún elemento occidental en su composición. Es decir, analizamos los «prestamos» que los tlacuiloque o escribas indígenas tomaron para escribirlos. Para llevarlo a cabo hemos revisado multitud de códices aunque somos conscientes de que no hemos tenido acceso a todos ellos. No obstante, consideramos que el resultado final recoge la mayor parte de ellos y ofrece datos que nos permitirá en próximos estudios relacionar antropónimos nahuas, topónimos, oficios, cargos, barrios, etc., en los que también se incluyeron elementos culturales occidentales.

El diminutivo en el español de Santo Domingo

Esta investigación analiza el uso del sufijo diminutivo en un corpus oral de jóvenes de la República Dominicana. El material procede de la transcripción de veinte entrevistas orales realizadas en los años noventa en Santo Domingo. En este estudio se realiza un análisis de las ocurrencias documentadas, su morfología, sus preferencias en cuanto a la selección de las clases de palabras que se toman como base para la formación de diminutivos, sus posibles valores semánticos y comunicativos, y, por último, se determina la frecuencia de uso del diminutivo en función del sexo de los hablantes.

El dinero en la historia del pensamiento económico: la teoría monetaria postkeynesiana y su confrontación con la ortodoxia

Las disputas en torno a determinados aspectos del dinero, como su neutralidad y el carácter endógeno o exógeno de la oferta monetaria, han sido permanentes entre las distintas escuelas de pensamiento y autores, estando su origen, probablemente, en la época de desarrollo del pensamiento escolástico. En este artículo pretendemos, en primer lugar, realizar un recorrido cronológico e histórico sobre el tratamiento científico económico del dinero, para, en segundo lugar, poner sobre la mesa la macroeconomía ortodoxa a la que han dado lugar las interpretaciones al respecto, así como los enfoques alternativos frente a este pensamiento dominante. Finalmente, intentamos poner en valor los desarrollos monetarios post-keynesianos, integrados en lo que denominan “Economía Monetaria de Producción”, confrontándolos con la llamada Nueva Síntesis Neoclásica.

Parametric CAD model based shape optimization using adjoint functions

Adjoint methods have proven to be an efficient way of calculating the gradient of an objective function with respect to a shape parameter for optimisation, with a computational cost nearly independent of the number of the design variables [1]. The approach in this paper links the adjoint surface sensitivities (gradient of objective function with respect to the surface movement) with the parametric design velocities (movement of the surface due to a CAD parameter perturbation) in order to compute the gradient of the objective function with respect to CAD variables.
For a successful implementation of shape optimization strategies in practical industrial cases, the choice of design variables or parameterisation scheme used for the model to be optimized plays a vital role. Where the goal is to base the optimization on a CAD model the choices are to use a NURBS geometry generated from CAD modelling software, where the position of the NURBS control points are the optimisation variables [2] or to use the feature based CAD model with all of the construction history to preserve the design intent [3]. The main advantage of using the feature based model is that the optimized model produced can be directly used for the downstream applications including manufacturing and process planning.
This paper presents an approach for optimization based on the feature based CAD model, which uses CAD parameters defining the features in the model geometry as the design variables. In order to capture the CAD surface movement with respect to the change in design variable, the “Parametric Design Velocity” is calculated, which is defined as the movement of the CAD model boundary in the normal direction due to a change in the parameter value.
The approach presented here for calculating the design velocities represents an advancement in terms of capability and robustness of that described by Robinson et al. [3]. The process can be easily integrated to most industrial optimisation workflows and is immune to the topology and labelling issues highlighted by other CAD based optimisation processes. It considers every continuous (“real value”) parameter type as an optimisation variable, and it can be adapted to work with any CAD modelling software, as long as it has an API which provides access to the values of the parameters which control the model shape and allows the model geometry to be exported. To calculate the movement of the boundary the methodology employs finite differences on the shape of the 3D CAD models before and after the parameter perturbation. The implementation procedure includes calculating the geometrical movement along a normal direction between two discrete representations of the original and perturbed geometry respectively. Parametric design velocities can then be directly linked with adjoint surface sensitivities to extract the gradients to use in a gradient-based optimization algorithm.
The optimisation of a flow optimisation problem is presented, in which the power dissipation of the flow in an automotive air duct is to be reduced by changing the parameters of the CAD geometry created in CATIA V5. The flow sensitivities are computed with the continuous adjoint method for a laminar and turbulent flow [4] and are combined with the parametric design velocities to compute the cost function gradients. A line-search algorithm is then used to update the design variables and proceed further with optimisation process.

Nature-based solutions to climate change mitigation and adaptation in urban areas: perspectives on indicators, knowledge gaps, barriers, and opportunities for action

Nature-based solutions promoting green and blue urban areas have significant potential to decrease the vulnerability and enhance the resilience of cities in light of climatic change. They can thereby help to mitigate climate change-induced impacts and serve as proactive adaptation options for municipalities. We explore the various contexts in which nature-based solutions are relevant for climate mitigation and adaptation in urban areas, identify indicators for assessing the effectiveness of nature-based solutions and related knowledge gaps. In addition, we explore existing barriers and potential opportunities for increasing the scale and effectiveness of nature-based solution implementation. The results were derived from an inter- and transdisciplinary workshop with experts from research, municipalities, policy, and society. As an outcome of the workshop discussions and building on existing evidence, we highlight three main needs for future science and policy agendas when dealing with nature-based solutions: (i) produce stronger evidence on nature-based solutions for climate change adaptation and mitigation and raise awareness by increasing implementation; (ii) adapt for governance challenges in implementing nature-based solutions by using reflexive approaches, which implies bringing together new networks of society, nature-based solution ambassadors, and practitioners; (iii) consider socio-environmental justice and social cohesion when implementing nature-based solutions by using integrated governance approaches that take into account an integrative and transdisciplinary participation of diverse actors. Taking these needs into account, nature-based solutions can serve as climate mitigation and adaptation tools that produce additional cobenefits for societal well-being, thereby serving as strong investment options for sustainable urban planning.

Key insights for the future of urban ecosystem services research

Understanding the dynamics of urban ecosystem services is a necessary requirement for adequate planning, management, and governance of urban green infrastructure. Through the three-year Urban Biodiversity and Ecosystem Services (URBES) research project, we conducted case study and comparative research on urban biodiversity and ecosystem services across seven cities in Europe and the United States. Reviewing > 50 peer-reviewed publications from the project, we present and discuss seven key insights that reflect cumulative findings from the project as well as the state-of-the-art knowledge in urban ecosystem services research. The insights from our review indicate that cross-sectoral, multiscale, interdisciplinary research is beginning to provide a solid scientific foundation for applying the ecosystem services framework in urban areas and land management. Our review offers a foundation for seeking novel, nature-based solutions to emerging urban challenges such as wicked environmental change issues.

Lucrecio, "De rerum natura": Sentido y coherencia del prólogo

El prólogo del De rerum natura de Lucrecio (1.1-148) parece ser un tema gastado: ha sido tratado decenas de veces tanto por su excelente calidad como por los problemas que plantea. Pero esperamos poder dar un nuevo sentido y solución a ambos aspectos. En primer lugar, el himno a Venus no es una mera convención, sino que respira sentimiento religioso; Venus no personifica a la naturaleza, sino al placer y la felicidad y ni la hegemonía que se dice ejerce Venus, ni las plegarias que contiene el himno contradicen la teología epicúrea. Todavía más, nos parece que el himno constituye una auténtica epifanía religiosa muy propia de la teología epicúrea. En segundo lugar, suponiendo que el autor ha tomado como tema compartido los schemata o grados de dificultad de la intellectio retórica en el texto de 1.50-148, se intentan solucionar las dificultades de coherencia del texto.

La invocación de los antepasados en "De divinatione" y "De natura deorum" de Cicerón. "Religio e identidad" romana a fines de la república

La invocación del ideal del mos maiorum, entendido como conjunto de virtudes o rasgos ejemplares de los romanos, ha sido estudiada repetidamente en los textos de Cicerón. Analiza el tópico en relación con la discusión en torno a la identidad romana en textos del siglo I a.C. y delimita tres empleos diferentes: uno al que define como típicamente aristocrático, referido a la ascendencia noble de un individuo en particular; un segundo uso que, en vez de individualizar, amalgama a todos los ancestros en un mismo conjunto y establece una continuidad entre pasado y presente; finalmente, una tercera modalidad que propone una ruptura total entre el mundo de los antepasados y el de los contemporáneos. En este trabajo indagaremos el funcionamiento de este tópico en De diuinatione y De natura deorum de Cicerón. Desde nuestro punto de vista, el ideal del mos maiorum no solamente involucra virtudes éticas y morales sino que también supone una especial actitud con respecto a los dioses y el culto que resulta central en la definición de la identidad romana.

Load balancing for parallel adaptive FEM

We present a dynamic distributed load balancing algorithm for parallel, adaptive finite element simulations using preconditioned conjugate gradient solvers based on domain-decomposition. The load balancer is designed to maintain good partition aspect ratios. It calculates a balancing flow using different versions of diffusion and a variant of breadth first search. Elements to be migrated are chosen according to a cost function aiming at the optimization of subdomain shapes. We show how to use information from the second step to guide the first. Experimental results using Bramble's preconditioner and comparisons to existing state-of-the-art balancers show the benefits of the construction.

International comparative field evaluation of a traffic-responsive signal control strategy in three cities

The recently developed network-wide real-time signal control strategy TUC has been implemented in three traffic networks with quite different traffic and control infrastructure characteristics: Chania, Greece (23 junctions); Southampton, UK (53 junctions); and Munich, Germany (25 junctions), where it has been compared to the respective resident real-time signal control strategies TASS, SCOOT and BALANCE. After a short outline of TUC, the paper describes the three application networks; the application, demonstration and evaluation conditions; as well as the comparative evaluation results. The main conclusions drawn from this high-effort inter-European undertaking is that TUC is an easy-to-implement, inter-operable, low-cost real-time signal control strategy whose performance, after very limited fine-tuning, proved to be better or, at least, similar to the ones achieved by long-standing strategies that were in most cases very well fine-tuned over the years in the specific networks.

Comparative field evaluation of the signal control strategy TUC in three traffic networks.

This paper describes how the recently developed network-wide real-time signal control strategy TUC has been implemented in three traffic networks with quite different traffic and control infrastructure characteristics: Chania, Greece (23 junctions); Southampton, U.K. (53 junctions); and Munich, Germany (25 junctions), where it has been compared to the respective resident real-time signal control strategies TASS, SCOOT and BALANCE. After a short outline of TUC, the paper describes the three application networks; the application, demonstration and evaluation conditions; as well as the comparative evaluation results. The main conclusions drawn from this high-effort inter-European undertaking is that TUC is an easy-to-implement, inter-operable, low-cost real-time signal control strategy whose performance, after limited fine-tuning, proved to be better or, at least, similar to the ones achieved by long-standing strategies that were in most cases very well fine-tuned over the years in the specific networks.

Calculating an Exceptional Machine

In previous work we showed how to verify a compiler for a small language with exceptions. In this article we show how to calculate, as opposed to verify, an abstract machine for this language. The key step is the use of Reynold's defunctionalization, an old program transformation technique that has recently been rejuvenated by the work of Danvy et al.

Applied web traffic analysis for numerical encoding of SQL Injection attack features.

SQL Injection Attack (SQLIA) remains a technique used by a computer network intruder to pilfer an organisation’s confidential data. This is done by an intruder re-crafting web form’s input and query strings used in web requests with malicious intent to compromise the security of an organisation’s confidential data stored at the back-end database. The database is the most valuable data source, and thus, intruders are unrelenting in constantly evolving new techniques to bypass the signature’s solutions currently provided in Web Application Firewalls (WAF) to mitigate SQLIA. There is therefore a need for an automated scalable methodology in the pre-processing of SQLIA features fit for a supervised learning model. However, obtaining a ready-made scalable dataset that is feature engineered with numerical attributes dataset items to train Artificial Neural Network (ANN) and Machine Leaning (ML) models is a known issue in applying artificial intelligence to effectively address ever evolving novel SQLIA signatures. This proposed approach applies numerical attributes encoding ontology to encode features (both legitimate web requests and SQLIA) to numerical data items as to extract scalable dataset for input to a supervised learning model in moving towards a ML SQLIA detection and prevention model. In numerical attributes encoding of features, the proposed model explores a hybrid of static and dynamic pattern matching by implementing a Non-Deterministic Finite Automaton (NFA). This combined with proxy and SQL parser Application Programming Interface (API) to intercept and parse web requests in transition to the back-end database. In developing a solution to address SQLIA, this model allows processed web requests at the proxy deemed to contain injected query string to be excluded from reaching the target back-end database. This paper is intended for evaluating the performance metrics of a dataset obtained by numerical encoding of features ontology in Microsoft Azure Machine Learning (MAML) studio using Two-Class Support Vector Machines (TCSVM) binary classifier. This methodology then forms the subject of the empirical evaluation.