Local anaesthesia efficacy as postoperative analgesia for open shoulder instability surgery. a prospective randomised controlled study

Background and objectives: The aim of present study was to evaluate for the first time, the clinical effect of local anaesthetic infiltration as postoperative analgesia in open shoulder surgery for anterior-inferior instability. The comparison of the local infiltration and interscalenic brachial plexus block to a control group test the local anaesthetic efficacy in this surgery. Methods: 78 patients scheduled for open shoulder surgery were enrolled and randomly assigned to one of three groups: local infiltration anaesthesia (LIA), interscalenic brachial plexus block (IBPB) and control (C). All patients received standardized general anaesthesia and all injections were performed with the same dose and volume of anaesthetic. The number boluses delivered by a PCA pump applied at the end of surgery and the visual analogue score (VAS) at 0, 2, 4, 6, 12, 18 and 24 hours after intervention were recorded. A patient satisfaction score was also assessed. Results: Mean bolus consumption of the rescue analgesic, compared to C, was significantly less both in the LIA and IBPB groups (P<0.05). The IBPB group showed VAS scores that were significantly better than C group at all time points (P<0.05). The VAS scores for LIA group were clinically comparable to IBPB, and only at the 2 and 6 hours, postoperative time points there were no significant differences found in respect to the C group. IBPB and LIA showed comparable patient satisfaction scores. Conclusion: The local anaesthetic infiltration as postoperative analgesia appears to be a clinically valid alternative, statistically comparable to IBPB, with no clinical meaningful adverse effects

From Measurements to Measures: Learning Risk Preferences under Different Risk Elicitation Methods

This study explores how people learn and adapt their risk preferences using different elicitation methods, challenging the neoclassical theory that suggests preferences are fixed. Instead, we show that preferences can change. However, we aim to explain whether the observed changes are due to a real change in the measure, i.e. individuals' risk preferences, or if they are attributable to the limitations of the measurement tool, i.e. the specific risk elicitation method employed. We use a detailed experimental design to examine the stability and consistency of risk preferences using a hands-on learning experience. Our main goals are to assess how consistent risk choices are, understand how preferences remain stable or change over time, and evaluate the effectiveness of different elicitation methods like the Multiple Price List and Ordered Lottery Selection ones. On the one hand, results demonstrate that risk preferences are variable and adaptable, and this can be partly due to the role of experience-based learning. On the other hand, we observe how Multiple Price List methods, even if more complex, are more accurate in identifying risk preferences and then in improving measurement stability and accuracy

OpenCAL++: An object-oriented architecture for transparent parallel execution of cellular automata models

Cellular Automata (CA) models, initially studied by John von Neumann, have been developed by numerous researchers and applied in both academic and scientific fields. Thanks to their local and independent rules, simulations of complex systems can be easily implemented based on CA modelling on parallel machines. However, due to the heterogeneity of the components - from the hardware to the software perspective-the various possible scenarios running parallelism in today’s architectures can pose a challenge in such implementations, making it difficult to exploit. This paper presents OpenCAL++, a transparent and efficient object-oriented platform for the parallel execution of cellular automata models. The architecture of OpenCAL++ ensures the modeller a fully transparent parallel execution and a strong ”separation of concerns” between the execution parallelism issues and the model implementation. The code implementing the Cellular Automata model remains the same whether the execution performs in a shared-, distributed-memory or a GPGPU context, irrespective of the optimizations adopted. To this aim, the object-oriented paradigm has been intensely exploited. As well as the OpenCAL++ architecture, we present the description of a simple Cellular Automata model implementation for illustrative purposes.This research was funded by the Italian “ICSC National Center for HPC, Big Data and Quantum Computing” Project, CN00000013 (approved under the Call M42C –Investment 1.4 – Avvisto “Centri Nazionali” – D.D. n. 3138 of 16.12.2021, admitted to financing with MUR Decree n. 1031 of 06.17.2022)Peer ReviewedPostprint (author's final draft

Lentils biodiversity: the characterization of two local landraces

A multi-disciplinary approach was used to characterize two autochthonous lentil landraces from Molise region (Central Italy). Different mature seed populations for each landrace were provided by the Molise Germoplasm Bank at the University of Molise (Pesche, Italy), and analyzed at the morphological and molecular (DNA and protein) levels. Nuclear ISSR markers were used to assess genetic differences, whereas phenotypic variability was detected by biochemical (proteomics) and morphological analyses. The genetic and phenotypic diversity of the two lentil landraces were well assessed in relation to their geographical provenance, supporting further studies to identify landrace markers

Major Role of Surrounding Environment in Shaping Biofilm Community Composition on Marine Plastic Debris

Plastic debris in aquatic environments is colonized by microbes, yet factors influencing biofilm development and composition on plastics remain poorly understood. Here, we explored the microbial assemblages associated with different types of plastic debris collected from two coastal sites in the Mediterranean Sea. All plastic samples were heavily colonized by prokaryotes, with abundances up to 1.9 × 107 cells/cm2. Microbial assemblages on plastics significantly differed between the two geographic areas but not between polymer types, suggesting a major role of the environment as source for the plastisphere composition. Nevertheless, plastic communities differed from those in the surrounding seawater and sediments, indicating a further selection of microbial taxa on the plastic substrates. The presence of potential pathogens on the plastic surface reflected the levels of microbial pollution in the surrounding environment, regardless of the polymer type, and confirmed the role of plastics as carriers for pathogenic microorganisms across the coastal ocean, deserving further investigations

Real – time three-dimensional anatomical reconstruction of the human heart from normalized dataset

Four-dimensional (3D + time), real-time, cardiac image visualization is an important tool for anatomical procedure, particularly if the dynamic volumetric image can be registered to, and fused with the actual patient anatomy. 4D cardiac image visualization and manipulation platform, based on the opacity density radiation model, which exploits the power of modern graphics processing units in the rendering pipeline. A dynamic multiresolution display is implemented to enable the interactive selection and emphasis of volume of interest (VOI) within the entire contextual cardiac volume and to enhance performance, and a novel color and opacity adjustment algorithm is designed to increase the uniformity of the rendered multiresolution image of heart. Our system provides a visualization environment superior to noninteractive software-based implementations, but with a rendering speed that is comparable to traditional volume rendering approaches based on texture mapping

Real – time three-dimensional anatomical reconstruction of the human heart from normalized dataset

Four-dimensional (3D + time), real-time, cardiac image visualization is an important tool for anatomical procedure, particularly if the dynamic volumetric image can be registered to, and fused with the actual patient anatomy. 4D cardiac image visualization and manipulation platform, based on the opacity density radiation model, which exploits the power of modern graphics processing units in the rendering pipeline. A dynamic multiresolution display is implemented to enable the interactive selection and emphasis of volume of interest (VOI) within the entire contextual cardiac volume and to enhance performance, and a novel color and opacity adjustment algorithm is designed to increase the uniformity of the rendered multiresolution image of heart. Our system provides a visualization environment superior to noninteractive software-based implementations, but with a rendering speed that is comparable to traditional volume rendering approaches based on texture mapping