Abstract
Intraoperative neuromonitoring (IONM) techniques are usually implemented during spine surgery to avoid nefarious abuse of the nervous system, which can cause postoperative problems. A lack of bibliometric analysis on the topic of IONM in spine surgery has been identified. Therefore, the aims of this study are to provide information about the main contributors to this field and their publication dynamics, as well as conceptual and cooperative networks. Results have shown that a steady publication increase has been occurring since 1991, with high levels of citations in the first decade, but irregular publication rates have been recorded more recently. Research production by country seems to be in line with what is observed in other surgical fields, but research funding for IONM in spine surgery seems to be lower, even with the clear interest of private funding agencies. The conceptual networks have shown the importance of motor-evoked potential, electromyography, and the effect of anesthesia, particularly in scoliosis surgery.

Abstract
Relative humidity monitorization is of extreme importance on scientific and industrial applications, and fiber optics-based sensors may provide solutions where other types of sensors have limitations. In this work, fiber optics’ sensors were fabricated by combining Long-Period Fiber Gratings with three different humidity-responding polymers, namely Poly(vinyl alcohol), Poly(ethylene glycol) and Hydromed™ D4. The performance of the multiple sensors was experimentally tested and crossed with numerical simulations, which provide a comparison with the expected response given the optical properties of the materials.

Abstract
Aim Testing the validity and reliability of the Scale for the Environments Evaluation of Professional Nursing Practice (SEE-Nursing Practice). Background The environment of professional nursing practice is key to achieve better results for clients, nurses and institutions. Therefore, instruments enabling the assessment of all its attributes are required. Method Cross-sectional methodological study. The SEE-Nursing Practice, based on a previous qualitative study and literature review, was applied as a questionnaire. Exploratory and confirmatory factor analyses were used to assess construct validity. Results A total of 752 nurses participated in the study. Exploratory factor analysis of the SEE-Nursing Practice led to a factor solution with 93 items and three subscales. The Structure, Process and Outcome subscales, respectively, have 43, 37 and 13 items, loaded in 6 factors, 6 factors and 2 factors and explaining 62.6%, 59.2% and 67.4% of the total variance. Cronbach's alpha of the overall scale and of the 3 subscales was greater than 0.90. Confirmatory factor analysis showed a good fit. Conclusion SEE-Nursing Practice is a good valid and reliable instrument. Implications for nursing management The SEE-Nursing Practice enables assessing practice environments and is a tool for nursing managers in the definition of strategies ensuring favourable environments for nursing care quality.

Abstract

Abstract
The rapid production of mobile and wearable devices along with the wireless applications boom is continuing to evolve everyday. This motivates network operators to integrate and exploit wireless spectrum across multiple radio access networks to cope with such intensive demand, while improving quality of service. However, it is crucial to develop innovative network selection techniques that consider heterogeneous networks characteristics, while meeting applications' quality requirements. Thus, this paper develops an optimal network selection with resource allocation scheme over heterogeneous networks that aims to optimize the latency, cost, and energy consumption, while accounting for data compression at the edge. Indeed, our framework could significantly enhance the performance of wireless healthcare systems by enabling data transfer from patients edge nodes to the cloud in cost-effective and energy-efficient manner, while maintaining strict Quality of Service (QoS) requirements of health applications. Our simulation results depict that our solution significantly outperforms state-of- the-art techniques in terms of energy consumption, latency, and cost.

Abstract
AbstractThis chapter aims to identify the supply chain (SC) issues that can be considered “horizontal”, as they are cross–sectorial and faced by most companies operating both in production and distribution sectors, and to propose a set of policy recommendations that can support public and private organisations to promote and foster innovation and competitiveness of future European SCs. The definition of the Key Horizontal Issues (KHI) is the basis for developing 12 policy recommendations regarding infrastructure requirements, technological and organisational improvements and regulatory developments needed to set the stage for the European SCs for the future. Specifically, the policy recommendations entail assuring appropriate standards and legislation for European SCs; educating and training professionals for the future SCs; drafting of international agreements aiming at future European SCs; supporting and fostering incentives and funding schemes; promoting reference bodies for European SCs; and establishing infrastructure for fostering of future European SCs.