Electric field bridging-effect in electrified microfibrils' scaffolds.

Introduction: The use of biocompatible scaffolds combined with the implantation of neural stem cells, is increasingly being investigated to promote the regeneration of damaged neural tissue, for instance, after a Spinal Cord Injury (SCI). In particular, aligned Polylactic Acid (PLA) microfibrils' scaffolds are capable of supporting cells, promoting their survival and guiding their differentiation in neural lineage to repair the lesion. Despite its biocompatible nature, PLA is an electrically insulating material and thus it could be detrimental for increasingly common scaffolds' electric functionalization, aimed at accelerating the cellular processes. In this context, the European RISEUP project aims to combine high intense microseconds pulses and DC stimulation with neurogenesis, supported by a PLA microfibrils' scaffold. Methods: In this paper a numerical study on the effect of microfibrils' scaffolds on the E-field distribution, in planar interdigitated electrodes, is presented. Realistic microfibrils' 3D CAD models have been built to carry out a numerical dosimetry study, through Comsol Multiphysics software. Results: Under a voltage of 10 V, microfibrils redistribute the E-field values focalizing the field streamlines in the spaces between the fibers, allowing the field to pass and reach maximum values up to 100 kV/m and values comparable with the bare electrodes' device (without fibers). Discussion: Globally the median E-field inside the scaffolded electrodes is the 90% of the nominal field, allowing an adequate cells' exposure.

Handover methods between local emergency medical services and Accident and Emergency: is there a gold standard? A scoping review.

BACKGROUND: Pre-hospital emergency medical systems do not appear to work totally coordinated with Accident and Emergency (A&E). Often, patient admission to A&E is marked by scarce attention to the handover between the respective healthcare professionals. This phenomenon is potentially dangerous because it exposes patients to the risk of errors in a context where the patients' critical or progressing conditions must not be worsened by avoidable errors of communication between professionals. OBJECTIVES: to describe the evidence concerning handover between local emergency medical services and A&E. ELIGIBILITY CRITERIA: pre-hospital emergency medical and A&E professionals, setting defined as within A&E, articles on pre-hospital to A&E handover. SOURCES OF EVIDENCE: PubMed and CINAHL Complete databases. Grey literature. CHARTING METHODS: the results are displayed in tables according to 'Title', 'Design', 'Country', 'Population', 'Concept', 'Context' and 'Results'. RESULTS: 10 studies were included. The following themes emerged: communication and interpersonal issues, secondary risks, need for staff training, the use of structured methods, information technology support. CONCLUSIONS: There is a gap in the literature. Issues regarding communication, differing ideas of what should be considered as priority, interpersonal relationships and trust between staff working for different services emerge. Connected with this there are structural problems such as shortage of suitable spaces and lack of staff training. The use of structured mnemonic methods, including computerized ones, seems to improve the quality of handovers, but to date it has not been possible to establish which method would be better than another. Further studies are recommended.

Influence of Anatomical Model and Skin Conductivity on the Electric Field Induced in the Head by Transcranial Magnetic Stimulation.

Numerical evaluation of the electromagnetic (EM) quantities induced inside the brain during transcranial magnetic stimulation (TMS) applications is a fundamental step to obtain the optimization of the treatment in terms of coil position and current intensity. In this sense, the human head model considered and the electromagnetic properties used to characterize the tissues have an influence on the EM solution. Thus, the aim of this study is to evaluate how different skin conductivities and different computational head models, i.e. the ViP Duke and the MIDA, influence the electric field induced inside the brain by a typical TMS coil.