Phylogeography of Helleria brevicornis (Crustacea,Oniscidea): Old and recent differentiations of an ancient lineage

Helleria brevicornis has a disjunct, peri-Tyrrhenian distribution that mirrors that of several organisms, for which geographic vicariance is invoked, due to the geological events started with the Oligocene split of the Sardo-Corsican microplate from the Pyrenees, and successive separation between Sardinia and Corsica. Molecular phylogenetic analyses demonstrated that such a biogeographic model does not apply to Helleria. The original split of the Sardinian and Corsican lineages originated in the Early Pliocene. Further diversification occurred later. The colonization of the Tuscan archipelago, French, and Italian mainland occurred most recently, but a possible time dependency bias suggests that such colonization was driven by human-transport.     

A novel numerical modelling approach for keratoplasty eye procedure

Biomechanics and Modeling in Mechanobiology - Objective of the work is to investigate stress and deformation that conrneal tissue and donor graft undergo during endothelial keratoplasty. In order...     

Observations on marking behaviour in a low-density population of European badgers (<Emphasis Type="Italic">Meles meles</Emphasis>)

The marking behaviour of the European badger (Meles meles L., 1758) in a low-density population of NW Italy was investigated by examining the distribution and pattern of use of latrines in relation to space-use by a badger social group, as assessed by radiotracking. Latrines were mostly placed close to linear features and marked the core area of the group. The winter-spring peak in latrine use suggested that marking behaviour was correlated to reproductive cycle and involved in sexual advertisement.     

Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer

Extracellular vesicles (EVs) and their cargo represent an intriguing source of cancer biomarkers for developing robust and sensitive molecular tests by liquid biopsy. Prostate cancer (PCa) is still one of the most frequent and deadly tumor in men and analysis of EVs from biological fluids of PCa patients has proven the feasibility and the unprecedented potential of such an approach. Here, we exploited an antibody-based proteomic technology, i.e. the Reverse-Phase Protein microArrays (RPPA), to measure key antigens and activated signaling in EVs isolated from sera of PCa patients. Notably, we found tumor-specific protein profiles associated with clinical settings as well as candidate markers for EV-based tumor diagnosis. Among others, PD-L1, ERG, Integrin-β5, Survivin, TGF-β, phosphorylated-TSC2 as well as partners of the MAP-kinase and mTOR pathways emerged as differentially expressed endpoints in tumor-derived EVs. In addition, the retrospective analysis of EVs from a 15-year follow-up cohort generated a protein signature with prognostic significance. Our results confirm that serum-derived EV cargo may be exploited to improve the current diagnostic procedures while providing potential prognostic and predictive information. The approach proposed here has been already applied to tumor entities other than PCa, thus proving its value in translational medicine and paving the way to innovative, clinically meaningful tools.Subject terms: Tumour biomarkers, Protein-protein interaction networks     

A probabilistic network for the diagnosis of acute cardiopulmonary diseases

In this paper, the development of a probabilistic network for the diagnosis of acute cardiopulmonary diseases is presented in detail. A panel of expert physicians collaborated to specify the qualitative part, which is a directed acyclic graph defining a factorization of the joint probability distribution of domain variables into univariate conditional distributions. The quantitative part, which is a set of parametric models defining these univariate conditional distributions, was estimated following the Bayesian paradigm. In particular, we exploited an original reparameterization of Beta and categorical logistic regression models to elicit the joint prior distribution of parameters from medical experts, and updated it by conditioning on a dataset of hospital records via Markov chain Monte Carlo simulation. Refinement was iteratively performed until the probabilistic network provided satisfactory concordance index values for several acute diseases and reasonable diagnosis for six fictitious patient cases. The probabilistic network can be employed to perform medical diagnosis on a total of 63 diseases (38 acute and 25 chronic) on the basis of up to 167 patient findings.     

Selectivity to Translational Egomotion in Human Brain Motion Areas

The optic flow generated when a person moves through the environment can be locally decomposed into several basic components, including radial, circular, translational and spiral motion. Since their analysis plays an important part in the visual perception and control of locomotion and posture it is likely that some brain regions in the primate dorsal visual pathway are specialized to distinguish among them. The aim of this study is to explore the sensitivity to different types of egomotion-compatible visual stimulations in the human motion-sensitive regions of the brain. Event-related fMRI experiments, 3D motion and wide-field stimulation, functional localizers and brain mapping methods were used to study the sensitivity of six distinct motion areas (V6, MT, MST+, V3A, CSv and an Intra-Parietal Sulcus motion [IPSmot] region) to different types of optic flow stimuli. Results show that only areas V6, MST+ and IPSmot are specialized in distinguishing among the various types of flow patterns, with a high response for the translational flow which was maximum in V6 and IPSmot and less marked in MST+. Given that during egomotion the translational optic flow conveys differential information about the near and far external objects, areas V6 and IPSmot likely process visual egomotion signals to extract information about the relative distance of objects with respect to the observer. Since area V6 is also involved in distinguishing object-motion from self-motion, it could provide information about location in space of moving and static objects during self-motion, particularly in a dynamically unstable environment.     

Asthma induced by house dust mites: benefits resulting from a correct environmental hygienization

Summary The aim of the present work has been the determination of the effectiveness of a primary prevention in the allergopathy induced by house dust mites weighing its benefits as regards asthmatic symptomatology.A sample of 56 subjects, aged 6 to 30 years, monosensitive to house dust mites (DTP and DTF) and with a diagnosis of bronchial asthma has been examined. The patients have entered a study plan whose purpose has been the evaluation of the effects of an environmental improvement on symptomatology. The diagnosis of asthma induced by house dust mites has been confirmed both by in vivo (Prick-test) and in vitro (PRIST and RAST) investigations.A follow-up after 3 months has shown that the hygienic measures have produced beneficial effects on symptomatology in as many as 22 patients (52.4%) out of a total of 42 who have put into practice the environmental improvement. These results encourage to proceed on this path in the choice of the therapy for those subjects affected by respiratory allergopathy to house dust mites.     

Are Random Trading Strategies More Successful than Technical Ones?

In this paper we explore the specific role of randomness in financial markets, inspired by the beneficial role of noise in many physical systems and in previous applications to complex socio-economic systems. After a short introduction, we study the performance of some of the most used trading strategies in predicting the dynamics of financial markets for different international stock exchange indexes, with the goal of comparing them to the performance of a completely random strategy. In this respect, historical data for FTSE-UK, FTSE-MIB, DAX, and S & P500 indexes are taken into account for a period of about 15–20 years (since their creation until today).     

Inferring the Structure of Social Contacts from Demographic Data in the Analysis of Infectious Diseases Spread

Social contact patterns among individuals encode the transmission route of infectious diseases and are a key ingredient in the realistic characterization and modeling of epidemics. Unfortunately, the gathering of high quality experimental data on contact patterns in human populations is a very difficult task even at the coarse level of mixing patterns among age groups. Here we propose an alternative route to the estimation of mixing patterns that relies on the construction of virtual populations parametrized with highly detailed census and demographic data. We present the modeling of the population of 26 European countries and the generation of the corresponding synthetic contact matrices among the population age groups. The method is validated by a detailed comparison with the matrices obtained in six European countries by the most extensive survey study on mixing patterns. The methodology presented here allows a large scale comparison of mixing patterns in Europe, highlighting general common features as well as country-specific differences. We find clear relations between epidemiologically relevant quantities (reproduction number and attack rate) and socio-demographic characteristics of the populations, such as the average age of the population and the duration of primary school cycle. This study provides a numerical approach for the generation of human mixing patterns that can be used to improve the accuracy of mathematical models in the absence of specific experimental data.