On capacity expansion planning under strategic and operational uncertainties based on stochastic dominance risk averse management (2018). Computational Management Science, 15, 1-22.

Laureano F. Escudero (Universidad Rey Juan Carlos) and Juan F. Monge (Universidad Miguel Hernández).

Abstract. A new scheme for dealing with uncertainty in scenario trees is presented for dynamic mixed 0–1 optimization problems with strategic and operational stochastic parameters. Let us generically name this type of problems as capacity expansion planning (CEP) in a given system, e.g., supply chain, production, rapid transit network, energy generation and transmission network, etc. The strategic scenario tree is usually a multistage one, and the replicas of the strategic nodes root structures in the form of either a special scenario graph or a two-stage scenario tree, depending on the type of operational activity in the system. Those operational scenario structures impact in the constraints of the model and, thus, in the decomposition methodology for solving usually large-scale problems. This work presents the modeling framework for some of the risk neutral and risk averse measures to consider for CEP problem solving. Two types of risk averse measures are considered. The first one is a time-inconsistent mixture of the chance-constrained and second-order stochastic dominance (SSD) functionals of the value of a given set of functions up to the strategic nodes in selected stages along the time horizon, The second type is a strategic node-based time-consistent SSD functional for the set of operational scenarios in the strategic nodes at selected stages. A specialization of the nested stochastic decomposition methodology for that problem solving is outlined. Its advantages and drawbacks as well as the framework for some schemes to, at least, partially avoid those drawbacks are also presented.

Color Doppler imaging of the retrobulbar circulation and plasmatic biomarkers of vascular risk in age‑related macular degeneration: A pilot study (2018). Indian Journal of Ophthalmology, 66 (1), 89-93.

Fermin Rodrigo (Department of Ophthalmology of Marina Baixa Hospital), José María Ruiz-Moreno (University of Castilla La Mancha), Juan Bernabé García (Department of Ophthalmology of Marina Baixa Hospital), María Eugenia Torregrosa (Department of Ophthalmology of Marina Baixa Hospital), José Vicente Segura (Miguel Hernández University) and David P. Piñero (University of Alicante).

Purpose: To evaluate preliminarily and compare the level of plasmatic biomarkers of vascular risk in patients with and without exudative age‑related macular degeneration (ARMD) and to relate it to vascular resistance alterations in the ophthalmic artery (OA), central retinal artery (CRA), posterior temporal ciliary artery (PTCA), and posterior nasal ciliary artery (PNCA). Methods: Color Doppler imaging of the OA, CRA, PTCA, and PNCA was performed in 30 eyes of 30 cataract patients (control group) as well as in 30 eyes of 30 patients with naive exudative ARMD (study group), measuring the peak systolic velocity, end‑diastolic velocity (EDV), and Pourcelot resistive index (RI). Likewise, in both groups, a blood test was performed to determine the plasmatic levels of homocysteine, C‑reactive protein (CRP), B12 vitamin, and folic acid.

Results: A positive and significant correlation was found between the level of CRP and RI of the OA in the ARMD group (r = 0.498, P = 0.005), with an increased RI in all arteries compared to controls, although differences only reached statistical significance for the PTCA (P = 0.035). Likewise, a significantly lower EDV for the CRA was found in ARMD eyes compared to controls (P = 0.041). In the study group, significantly higher plasmatic levels of homocysteine (P = 0.042) and CRP (P = 0.046) were found. In contrast, no significant differences were found between groups in the levels of folic acid (P = 0.265) and B12 vitamin (P = 0.520).

Conclusion: The decrease of the choroidal perfusion related to hyperhomocysteinemia, and increase in the CRP plasmatic levels may play an etiological role on the exudative ARMD. This should be investigated in future studies with larger samples of patients.

DEA-based benchmarking for performance evaluation in pay-for-performance incentive plans (2018). Omega, 28, 23-34.

Wade D. Cook (York University), Nuria Ramón (Universidad Miguel Hernández), José L. Ruiz (Universidad Miguel Hernández), Inmaculada Sirvent (Universidad Miguel Hernández) and Joe Zhu (Worcester Polytechnic Institute).

Abstract. Incentive plans involve payments for performance relative to some set of goals. In this paper, we extend Data Envelopment Analysis (DEA) to the evaluation of performance in the specific context of pay-for-performance incentive plans. The approach proposed ensures that the evaluation of performance of decision making units (DMUs) that follow the implementation of incentive plans, is made in terms of targets that are attainable, as well as representing best practices. A model is developed that adjusts the benchmarking to the goals through the corresponding payment of incentives, thus DEA targets are established taking into consideration the improvement strategies that were set out in the incentive plans. To illustrate, we examine an application concerned with the financing of public Spanish universities.

System-on-Chip for Real-Time Satellite Photovoltaic Curves Telemetry (2018). IEEE Transactions on Industrial Informatics, 14 (3), 951-957.

Roberto Gutiérrez (Miguel Hernandez University), José M. Blanes (Miguel Hernandez University),  David Marroquí (Miguel Hernandez University), Ausiàs Garrigós (Miguel Hernandez University) and Francisco Javier Toledo (Miguel Hernandez University).

Abstract. This paper presents a System-on-Chip design for real-time satellites photovoltaic curves telemetry. In these applications, the limitation of memory and communication bandwidth makes quite difficult to store and to transmit the whole characteristic current-voltage (I–V) curve of any solar section in real-time. The proposed solution is based on the real-time calculation of the equivalent singlediode model of the solar section. The single-diode model fits accurately the behavior of any solar panel, so once the parameters are calculated, saved, and transmitted, at any working conditions, that specific curve could be later reproduced. The system is based on a LEON3 32-bit microprocessor core implemented in a Field Programmable Gate Array. The LEON microprocessors were originally designed by the European Space Agency, Paris, France, to be used in space projects where high reliability is required. In addition, in order to design the system as simple and reliable as possible, from all the methods available in the literature to extract the five parameters of the equivalent model, the Oblique Asymptote Method has been chosen for its simplicity and precision. Finally, some experimental results are presented to demonstrate the accuracy of the final system.