Endogenous Fishing Mortalities: a State-Space Bioeconomic Model

A methodology that endogenously determines catchability functions that link fi shing mortality with contemporaneous stock abundance is presented. We consider a stochastic age-structured model for a fishery composed by a number of fi shing units (fleets, vessels or métiers) that optimally select the level of fishing effort to be applied considering total mortalities as given. The introduction of a balance constrain which guarantees that total mortality is equal to the sum of individual fi shing mortalities optimally selected, enables total fishing mortality to be determined as a combination of contemporaneous abundance and stochastic processes affecting the fishery. In this way, future abundance can be projected as a dynamic system that depends on contemporaneous abundance. The model is generic and can be applied to several issues of fisheries management. In particular, we illustrate how to apply the methodology to assess the floating band target management regime for controlling fishing mortalities which is inspired in the new multi-annual plans. Our results support this management regime for the Mediterranean demersal fishery in Northern Spain.This work was funded by the European Commission as part of the MINOUW project (H2020-SFS-2014-2, number 634495) and the Spanish Ministry of Economy, Industry and Competitiveness (ECO2016-78819-R, AEI/FEDER, UE

Mitigación de las capturas no deseadas en la pesquería de la merluza del caladero sur ibérico: Mejora de la tecnología pesquera vs políticas de control de mercado

Unwanted catches can be reduced by improving fishing effectiveness in targeting species and sizes and by banning their sale for human consumption. The landing obligation introduced by the European Union can be seen as a combination of these two measures, and the aim of this paper is to analyse its effects on the Southern Iberian Hake Stock fishery. To this end, reference points for a mixed fishery are computed under the two measures as the steady-state solution of a dynamic optimal management problem. Our results show that measures that improve selectivity obtain better results than sales ban strategies in terms of increasing yields and stocks and reducing discards. In particular, we find that reducing the selectivity parameters by 90% for the three early ages leads to an almost six-fold increase in the hake yield and lowers the discard rate by more than 20 percentage points. Banning the sale of the two youngest ages also increases hake yield by 21% and the discard rate by 7 percentage points.Las capturas no deseadas pueden reducirse mejorando la efectividad a la hora de seleccionar las especies y los tamaños elegidos, así como prohibiendo su venta para el consumo humano. La obligación de desembarco impulsada por la Unión Europea (UE) puede entenderse como una combinación de ambos tipos de medidas. El objetivo de este artículo es analizar los efectos de estos dos tipos de políticas aplicados a la pesquería de la Merluza del Caladero Sur Ibérico. Con este objetivo, se computaron los puntos de referencia asociados a una pesquería mixta para las dos políticas como la solución del estado estacionario de un problema de gestión dinámica óptima. Nuestros resultados muestran que las medidas que mejoran la selectividad pesquera generan mejores resultados que las que prohíben la venta, incrementando la producción y el stock y reduciendo los descartes. En concreto, encontramos que reducir los parámetros de selectividad un 90% para las tres edades más jóvenes multiplica la producción de merluza por casi 6, a la vez que reduce la tasa de descartes en más de 20 puntos porcentuales. A su vez, nuestros resultados también muestran que prohibir la venta de las dos edades más jóvenes aumenta la producción de merluza un 21% incrementando también la tasa de descartes en 7 puntos porcentuales

Reconciling yield stability with international fisheries agencies precautionary preferences : The role of non constant discount factors in age structured models

International fisheries agencies recommend exploitation paths that satisfy two features. First, for precautionary reasons exploitation paths should avoid high fishing mortality in those fisheries where the biomass is depleted to a degree that jeopardise the stock's capacity to produce the Maximum Sustainable Yield (MSY). Second, for economic and social reasons, captures should be as stable (smooth) as possible over time. In this article we show that a conflict between these two interests may occur when seeking for optimal exploitation paths using age structured bioeconomic approach. Our results show that this conflict be overtaken by using non constant discount factors that value future stocks considering their relative intertemporal scarcity

Conduite d'approche in conduction aphasia: Which psycholinguistic and experimental variables drive it – A case study.

Conduite d’approche (CdA) is a classic repetitive behavior reported frequently in persons with conduction aphasia, however, relatively little is known about it, both at the brain and cognitive level (e.g., whether it is a self-correcting mechanism based on comprehension or rather on production, Nickels and Howard, 1995; Ueno and Lambon-Ralph, 2013). In this work we address which psycholinguistic and experimental variables boost the occurrence of CdAs and are involved in reaching a successful CdA. Here we study ANC, a 79-year-old male with high sociocultural level who suffers from a reproduction conduction aphasia that caused frequent CdAs.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Tests Management in CALIPSOneo: A MDE Solution

Testing in Software Engineering is one of the most important phases although, unfortunately, it cannot be always successfully fulfilled due to time constraints. In most cases, the development phase takes more time than it was estimated, entailing negative effects on the testing phase. The delay increases even more in Research and Development (R + D) projects, where the real time to execute tasks is more difficult to control. Model Driven Engineering (MDE) offers a solution to avoid testing costs without affecting the execution quality of the applied test. This paper presents a practical overview of a Model Driven Testing (MDT)-based methodology and its impact on CA LIPSOneo project, which was carried out in liaison with Airbus Defense and Space and, particularly, with the Product Lifecycle Management (PLM) departmentMinisterio de Ciencia e Innovación TIN2013-46928-C3-3-RJunta de Andalucía TIC-578

Reconciling yield stability with international fisheries agencies precautionary preferences: the role of non constant discount factors in age structured models

International fisheries agencies recommend exploitation paths that satisfy two features. First, for precautionary reasons exploitation paths should avoid high fishing mortality in those fisheries where the biomass is depleted to a degree that jeopardise the stock's capacity to produce the Maximum Sustainable Yield (MSY). Second, for economic and social reasons, captures should be as stable (smooth) as possible over time. In this article we show that a conflict between these two interests may occur when seeking for optimal exploitation paths using age structured bioeconomic approach. Our results show that this conflict be overtaken by using non constant discount factors that value future stocks considering their relative intertemporal scarcity.European Commission (MINOW H2020-SFS-2014-2, number 634495, MYFISH, FP7-KBBE-2011-5, number 289257) and the Spanish Ministry of Economy Competitiveness (ECO2012-39098-C06-01, ECO2012-39098-C06-05 and ECO2012-35820

How windows size and number can influence the schedulability of hierarchically-scheduled time-partitioned distributed real-time systems

Partitioning techniques are implemented in the development of safety-critical applications to ensure isolation among components. An adequate scheduling of the execution of such partitions is a key challenge so that applications meet the hard deadlines imposed. In this work, we study the effect of different partition window configuration parameters, with the aim of analyzing their impact in the worst-case response times of system tasks. This is the first step in the development of an algorithm for optimizing partition windows in hierarchically-scheduled time-partitioned distributed systems

Optimization in Heterogeneous Distributed Real-Time Systems based on Partitioning

In this work, a solution that can be applied to the RTSS 2022’s Industry Challenge is proposed. It relies on a real-time system model and a set of schedulability analysis and optimization tools, enabling the design of safety-critical applications compliant with timing requirements. The presented toolchain is enhanced with a novel task allocation technique, which leverages sensitivity analysis and that can be applied to heterogeneous systems, to provide promising solutions that improve state-of-the-art algorithms’ performance.This work was supported in part by MCIN/ AEI /10.13039/501100011033/ FEDER “Una manera de hacer Europa” under grant PID2021-124502OB-C42 (PRESECREL)

GEN4MAST: A Tool for the Evaluation of Real-Time Techniques Using a Supercomputer

REACTION 2014. 3rd International Workshop on Real-time and Distributed Computing in Emerging Applications. Rome, Italy. December 2nd, 2014.The constant development of new approaches in real-time systems makes it necessary to create tools or methods to perform their evaluations in an efficient way. It is not uncommon for these evaluations to be constrained by the processing power of current personal computers. Thus, it is still a challenging issue to know whether a specific technique could perform better than another one, or the improvement remains invariable in all circumstances. In this paper we present the GEN4MAST tool, which can take advantage of the performance of a supercomputer to execute longer evaluations that wouldn’t be possible in a common computer. GEN4MAST is built around the widely used MAST tool, automating the whole process of distributed systems generation, execution of the requested analysis or optimization techniques, and the processing of the results. GEN4MAST integrates several generation methods to create realistic workloads. We show that the different methods can have a great impact on the results of distributed systems.This work has been funded in part by the Spanish Government and FEDER funds under grant number TIN2011-28567-C03-02 (HI-PARTES)