Health benefits of an adverse events reporting system for chronic pain patients using long‐term opioids (2018). Acta Anaesthesiol Scand, 1-11.

Beatriz Planelles (Pain Unit, Alicante Department of Health-General Hospital), César Margarit (Pain Unit, Alicante Department of Health-General Hospital), Raquel Ajo (Neuropharmacology on Pain (NED), Research Unit, Department of Health of Alicante-General Hospital), Yolanda Sastre (Pain Unit, Alicante Department of Health-General Hospital), Javier Muriel (Neuropharmacology on Pain (NED), Research Unit, Department of Health of Alicante-General Hospital), María del Mar Inda (Neuropharmacology on Pain (NED), Research Unit, Department of Health of Alicante-General Hospital), María Dolores Esteban (Miguel Hernández University of Elche) and Ana María Peiró (Clinical Pharmacology Unit, Alicante
Department of Health-General Hospital).

Abstract. Safety data from long‐term opioid therapy in the real world has been poorly studied in chronic non‐cancer pain (CNCP). The aim was to design a pharmacovigilance data recording system and assess whether participation in this recording system improves pain management, enhancing patient′s health status.

Keywords. chronic non-cancer pain; opioids; patient’s reports of adverse events; pharmacovigilance data recording system; suspected adverse drug reaction

Work in Progress: Contributing to becoming aware of the value of Open Education (2018). IEEE Global Engineering Education Conference (EDUCON), 1806-1810.

Edmundo Tovar (Polytechnic University of Madrid), Sergio Martín (The National Distance Education University), Martín Llamas (University of Vigo), Manuel Caeiro (University of Vigo), Óscar Martínez Bonastre (Miguel Hernández University of Elche), Rebecca Strachan (Northumbria University) and Manuel Castro (The National Distance Education University).

Abstract. This paper shows the design, approach and first collection of data of the MOOC “Foundations to Open Education and OERs repositories”. This is the first MOOC of the IEEE Education Society, and it has been delivered freely and open available through IEEEx, a channel of edX.

Keywords. open education; mooc; open educational resources; OER

Attractors for Multi-valued Non-autonomous Dynamical Systems: Relationship, Characterization and Robustness (2018). Set-Valued and Variational Analysis Journal Impact 2018, 26, 493–530.

Hongyong Cui (University Southwest of Chongqing), José A. Langa (University of Sevilla), Yangrong Li (University Southwest of Chongqing) and José Valero (University Miguel Hernández of Elche).

Abstract. In this paper we study cocycle attractors, pullback attractors and uniform attractors for multi-valued non-autonomous dynamical systems.We first consider the relationship between the three attractors and find that, under suitable conditions, they imply each other. Then, for generalized dynamical systems, we find that these attractors can be characterized by complete trajectories, which implies that the uniform attractor is lifted invariant, though it has no standard invariance by definition. Finally, we study both upper and lower semi-continuity of these attractors. A weak equi-attraction method is introduced to study the lower semi continuity, and we show with an example the advantages of this method. A reaction-diffusion system and a scalar ordinary differential inclusion are studied as applications.

Keywords. Multi-valued dynamical systems; Pullback attractor; Uniform attractor; Lifted invariance; Lower semi-continuity; Weak equi-attraction

On the time-consistent stochastic dominance risk averse measure for tactical supply chain planning under uncertainty (2018). Computers and Operations Research, 100, 270–286.

Laureano F. Escudero (Rey Juan Carlos University), Juan Francisco Monge (University Miguel Hernández of Elche) and Dolores Romero Morales (Copenhagen Business School).

Abstract. In this work a modeling framework and a solution approach have been presented for a multi-period stochastic mixed 0–1 problem arising in tactical supply chain planning (TSCP). A multistage scenario tree based scheme is used to represent the parameters’ uncertainty and develop the related Deterministic Equivalent Model. A cost risk reduction is performed by using a new time-consistent risk averse measure. Given the dimensions of this problem in real-life applications, a decomposition approach is proposed. It is based on stochastic dynamic programming (SDP). The computational experience is twofold, a compar- ison is performed between the plain use of a current state-of-the-art mixed integer optimization solver and the proposed SDP decomposition approach considering the risk neutral version of the model as the subject for the benchmarking. The add-value of the new risk averse strategy is confirmed by the compu- tational results that are obtained using SDP for both versions of the TSCP model, namely, risk neutral and risk averse.

Keywords. Tactical supply chain planning; Nonlinear separable objective function; Multistage stochastic integer optimization; Risk management; Time-consistency; Stochastic nested decomposition

Indexation Strategies and Calmness Constants for Uncertain Linear Inequality Systems (2018). Springer International Publishing AG 2018, 142, 831-843.

María Josefa Cánovas (University Miguel Hernandez of Elche), René Henrion (University Humboldt of Berlin), Marco Antonio López (University of Alicante) and Juan Parra (University Miguel Hernández of Elche).

Abstract. The present paper deals with uncertain linear inequality systems viewed as nonempty closed coefficient sets in the (n + 1)-dimensional Euclidean space. The perturbation size of these uncertainty sets is measured by the (extended) Hausdorff distance.We focus on calmness constants —and their associated neighborhoods— for the feasible setmapping at a given point of its graph. To this aim, the paper introduces an appropriate indexation function which allows us to provide our aimed calmness constants through their counterparts in the setting of linear inequality systems with a fixed index set, where a wide background exists in the literature.

Weak compactness and metrizability of Mackey*-bounded sets in Fréchet spaces (2018). Akadémiai Kiadó, 1-15.

Juan Carlos Ferrando (University Miguel Hernandez of Elche) and Jerzy Kąkol (University Adam Mickiewicz of Poznań).

Abstract. Motivated by the density condition in the sense of Heinrich for Fréchet spaces and by some results of Schlüchtermann and Wheeler for Banach spaces, we characterize in terms of certain weakly compact resolutions those Fréchet spaces enjoying the property that each bounded subset of its Mackey* dual is metrizable. We also characterize those Köthe echelon Fréchet spaces λp(A) as well as those Fréchet spaces Ck (X) of real-valued continuous functions equipped with the compact-open topology that enjoy this property.

Keywords. Bounded resolution; weakly compact resolution; G-base of neighborhoods; K-analytic space; SWKA space; SWCG space