Collaborative Decision-Making Processes for Cultural Heritage Enhancement: The Play ReCH Platform

These days, cultural heritage is one of the topics at the center of the urban sustainability agenda. Current economic and urbanization trends place significant pressure on urban resources, systems, and infrastructures and demand for novel approaches in governing, financing, and monitoring urban performances with particular attention to abandoned, unused, or underutilized cultural heritage, defined “waste heritage.” In this perspective, cities are laboratories where innovative and collaborative approaches can be tested, and culture-led processes can be implemented consistent with circular economy principles. In order to structure and activating collaborative decision-making processes for regeneration and adaptive transformation of cultural heritage, gamification assumes a central role. The chapter analyzes the interaction among gamification and collaborative decision-making processes relevant to support the enhancement of cultural heritage and describes the Play ReCH (Reuse Cultural Heritage) platform, winner of the 2019 Welfare Che Impresa call, activated with the purpose to promote a cultural creative enterprise and include cooperation and innovation in cultural heritage regeneration processes. Play ReCH allows rethinking the management model of cultural heritage reuse through gamification processes in combining technology and reality, involving city users within creative processes

Shape Complementarity Optimization of Antibody-Antigen Interfaces: the Application to SARS-CoV-2 Spike Protein

Many factors influence biomolecules binding, and its assessment constitutes an elusive challenge in computational structural biology. In this respect, the evaluation of shape complementarity at molecular interfaces is one of the main factors to be considered. We focus on the particular case of antibody-antigen complexes to quantify the complementarities occurring at molecular interfaces. We relied on a method we recently developed, which employs the 2D Zernike descriptors, to characterize investigated regions with an ordered set of numbers summarizing the local shape properties. Collected a structural dataset of antibody-antigen complexes, we applied this method and we statistically distinguished, in terms of shape complementarity, pairs of interacting regions from non-interacting ones. Thus, we set up a novel computational strategy based on \textit{in-silico} mutagenesis of antibody binding site residues. We developed a Monte Carlo procedure to increase the shape complementarity between the antibody paratope and a given epitope on a target protein surface. We applied our protocol against several molecular targets in SARS-CoV-2 spike protein, known to be indispensable for viral cell invasion. We, therefore, optimized the shape of template antibodies for the interaction with such regions. As the last step of our procedure, we performed an independent molecular docking validation of the results of our Monte Carlo simulations.Comment: 13 pages, 4 figure

No Risk of Anorexia Nervosa in Young Rhythmic Gymnasts: What are the Practical Implications of what is Already Know?

In aesthetic sports success is strongly influenced by body appearance and eating disorder risks prevail in aesthetic athletes. Previous studies demonstrated that rhythmic gymnasts showed a "lean, almost anorexic-like physique" but no psychological distress. Recently, researchers used body image perception and dissatisfaction to detect gymnast eating disorders. The results showed that elite rhythmic gymnasts are very thin but have a precise estimation of their body image, and this condition leads to hypothesize that they are not at risk for eating disorders development. A correct evaluation of one's own body image is essential in prevention of pathological eating behaviours

Fasting glucose and body mass index as predictors of activity in breast cancer patients treated with everolimus-exemestane: the EverExt study

Evidence on everolimus in breast cancer has placed hyperglycemia among the most common high grade adverse events. Anthropometrics and biomarkers of glucose metabolism were investigated in a observational study of 102 postmenopausal, HR + HER2- metastatic breast cancer patients treated with everolimus-exemestane in first and subsequent lines. Best overall response (BR) and clinical benefit rate (CBR) were assessed across subgroups defined upon fasting glucose (FG) and body mass index (BMI). Survival was estimated by Kaplan-Meier method and log-rank test. Survival predictors were tested in Cox models. Median follow up was 12.4 months (1.0-41.0). The overall cohort showed increasing levels of FG and decreasing BMI (p < 0.001). Lower FG fasting glucose at BR was more commonly associated with C/PR or SD compared with PD (p < 0.001). We also observed a somewhat higher BMI associated with better response (p = 0.052). More patients in the lowest FG category achieved clinical benefit compared to the highest (p < 0.001), while no relevant differences emerged for BMI. Fasting glucose at re-assessment was also predictive of PFS (p = 0.037), as confirmed in models including BMI and line of therapy (p = 0.049). Treatment discontinuation was significantly associated with changes in FG (p = 0.014). Further research is warranted to corroborate these findings and clarify the underlying mechanisms

Multiple subglacial water bodies below the south pole of Mars unveiled by new MARSIS data

The detection of liquid water by the Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) at the base of the south polar layered deposits in Ultimi Scopuli has reinvigorated the debate about the origin and stability of liquid water under present-day Martian conditions. To establish the extent of subglacial water in this region, we acquired new data, achieving extended radar coverage over the study area. Here, we present and discuss the results obtained by a new method of analysis of the complete MARSIS dataset, based on signal processing procedures usually applied to terrestrial polar ice sheets. Our results strengthen the claim of the detection of a liquid water body at Ultimi Scopuli and indicate the presence of other wet areas nearby. We suggest that the waters are hypersaline perchlorate brines, known to form at Martian polar regions and thought to survive for an extended period of time on a geological scale at below-eutectic temperatures

Physical and Numerical Modeling of an Innovative Vertical Breakwater for Sustainable Power Generation in Ports: SE@PORTS Project

This work has been supported by the OCEANERA-NET project, SE@PORTS (Sustainable Energy at Sea Ports); reference OCEANERA/0003/2016, under the frame of Sociedad para el Desarrollo Regional de Cantabria S.A. (SODERCAN)

Monitoring the last Apennine glacier: recent in situ campaigns and modelling of Calderone glacial apparatus

The Calderone glacier is at present the most southern glacier in Europe (42° 28' 15’’ N). The little apparatus (about 20.000 m2 in surface area) has been giving an interesting response both to short- and long-term climatic variations which resulted in a considerable reduction in surface area and volume. The glacial apparatus is split into two ice bodies (glacierets) since 2000. The two glacierets are located in a deep northward valley below the top of the Corno Grande (2912 m asl) in the centre of the Gran Sasso d’Italia mountain range (Central Italy). Such glacial apparatus has been subjected to a strong reduction, with a loss of total surface area of about 50% and thickness of about 65%with respect to the hypothetical size (about 105.00 m2 and 55 m at the Little Ice Age). Since early 90s the Calderone glacier has been subjected to several multidisciplinary field campaigns to monitor and evaluate its role as an environmental indicator in the framework of global warming. Starting from historical series related to more than a century of records, the variability of the different glacier properties has been estimated by using classical geomorphologic methods as well as in situ and remote sensing techniques. In particular, the last field campaigns, in 2015, 2016 and 2019, have been carried out using Ground Penetrating Radar equipped with different antenna frequencies, drone-based survey, snow pit measurements and chemical-physical sampling. The measurement campaigns have been complemented by a regional climate analysis, spanning the last fifty years, and snowpack modelling initialized with microphysical snow data (e.g., snow density, crystal shape and size, hardness). The snowpack chemical analyses include the main and trace elements, soluble inorganic and organic ions, EC/OC and PAH, with different spatial resolution depending on the analytes. We present here the methodological approach used and some preliminary results

Prognostic Factors for Tumor Recurrence after a 12-Year, Single-Center Experience of Liver Transplantations in Patients with Hepatocellular Carcinoma

Background. Factors affecting outcomes after orthotopic liver transplantation (OLT) for hepatocellular carcinoma (HCC) have been extensively studied, but some of them have only recently been discovered or reassessed. Methods. We analyzed classical and more recently emerging variables with a hypothetical impact on recurrence-free survival (RFS) in a single-center series of 283 patients transplanted for HCC between 1997 and 2009. Results. Five-year patient survival and RFS were 75% and 86%, respectively. Thirty-four (12%) patients had HCC recurrence. Elevated preoperative alpha-fetoprotein (AFP) levels, preoperative treatments of HCC, unfulfilled Milan and up-to-seven criteria at final histology, poor tumor differentiation, and tumor microvascular invasion negatively affected RFS by univariate analysis. Milan and up-to-seven criteria applied preoperatively, and the use of m-TOR inhibitors did not reach statistical significance. Cox's proportional hazard model showed that only elevated AFP levels (Odds Ratio = 2.88; 95% C.I. = 1.43–5.80; P = .003), preoperative tumor treatments (Odds Ratio = 4.84; 95% C.I. = 1.42–16.42; P = .01), and microvascular invasion (Odds Ratio = 4.82; 95% C.I. = 1.87–12.41; P = .001) were predictors of lower RFS. Conclusions. Biological aggressiveness and preoperative tumor treatment, rather than traditional and expanded dimensional criteria, conditioned the outcomes in patients transplanted for HCC

Liquid Water Detection under the South Polar Layered Deposits of Mars—a Probabilistic Inversion Approach

Liquid water was present on the surface of Mars in the distant past; part of that water is now in the ground in the form of permafrost and heat from the molten interior of the planet could cause it to melt at depth. MARSIS (Mars Advanced Radar for Subsurface and Ionosphere Sounding) has surveyed the Martian subsurface for more than fifteen years in search for evidence of such water buried at depth. Radar detection of liquid water can be stated as an inverse electromagnetic scattering problem, starting from the echo intensity collected by the antenna. In principle, the electromagnetic problem can be modelled as a normal plane wave that propagates through a three-layered medium made of air, ice and basal material, with the final goal of determining the dielectric permittivity of the basal material. In practice, however, two fundamental aspects make the inversion procedure of this apparent simple model rather challenging: (i) the impossibility to use the absolute value of the echo intensity in the inversion procedure; (ii) the impossibility to use a deterministic approach to retrieve the basal permittivity. In this paper, these issues are faced by assuming a priori information on the ice electromagnetic properties and adopting an inversion probabilistic approach. All the aspects that can affect the estimation of the basal permittivity below the Martian South polar cap are discussed and how detection of the presence of basal liquid water was done is described