3,161 research outputs found

    Digital, Interactive and Sensory Experiences exploiting VAR technologies for the Cultural Sector in Society 5.0

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    The glutaminase-dependent acid resistance system. Qualitative and quantitative assays and analysis of its distribution in enteric bacteria

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    Neutralophilic bacteria have developed several strategies to overcome the deleterious effects of acid stress. In particular, the amino acid-dependent systems are widespread, with their activities overlapping, covering a rather large pH range, from 6 to <2. Recent reports showed that an acid resistance (AR) system relying on the amino acid glutamine (AR2_Q), the most readily available amino acid in the free form, is operative in Escherichia coli, Lactobacillus reuteri and some Brucella species. This system requires a glutaminase active at acidic pH and the antiporter GadC to import L-glutamine and export either glutamate (the glutamine deamination product) or GABA. The latter occurs when the deamination of glutamine to glutamate, via acid-glutaminase (YbaS/GlsA), is coupled to the decarboxylation of glutamate to GABA, via glutamate decarboxylase (GadB), a structural component of the glutamate-dependent AR (AR2) system, together with GadC. Taking into account that AR2_Q could be widespread in bacteria and that until now assays based on ammonium ion detection were typically employed, this work was undertaken with the aim to develop assays that allow a straightforward identification of the acid-glutaminase activity in permeabilised bacterial cells (qualitative assay) as well as a sensitive method (quantitative assay) to monitor in the pH range 2.5-4.0 the transport of the relevant amino acids in vivo. The qualitative assay is colorimetric, rapid and reliable and provides several additional information, such as co-occurrence of AR2 and AR2_Q in the same bacterial species and assessment of the growth conditions that support maximal expression of glutaminase at acidic pH. The quantitative assay is HPLC-based and allows to concomitantly measure the uptake of glutamine and the export of glutamate and/or GABA via GadC in vivo and depending on the external pH. Finally, an extensive bioinformatic genome analysis shows that the gene encoding the glutaminase involved in AR2_Q is often nearby or in operon arrangement with the genes coding for GadC and GadB. Overall, our results indicate that AR2_Q is likely to be of prominent importance in the AR of enteric bacteria and that it modulates the enzymatic as well as antiport activities depending on the imposed acidic stress

    Designing for informal co-production in mental healthcare: an innovative psychiatry program and the strategies from a territorial lab

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    This paper reflects on the process of co-production in mental health with informal actors, patients, and health and social providers. In particular, this research examines the potential of territorial laboratories as places of experimentation for co-producing services for recovery. The Case study examined is the Brescia Recovery Co-Lab in Italy, developed with the aim to facilitate territorial experimentation of co-produced mental health and wellbeing services and initiatives with users, family members, local actors and service providers at the community level. Through a thematic analysis of the interviews, five main factors emerged that influence the co-production of mental health with informal resources: Time, Value, Participation, Co-design and Scale. The core of these factors concerns the experimentation with practices outside the traditional organisational logics typical of territorial laboratories, structures that favour dynamic co-production in mental health

    Energy and water vapor transport across a simplified cloud-clear air interface

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    We consider a simplified physics of the could interface where condensation, evaporation and radiation are neglected and momentum, thermal energy and water vapor transport is represented in terms of the Boussinesq model coupled to a passive scalar transport equation for the vapor. The interface is modeled as a layer separating two isotropic turbulent regions with different kinetic energy and vapor concentration. In particular, we focus on the small scale part of the inertial range as well as on the dissipative range of scales which are important to the micro-physics of warm clouds. We have numerically investigated stably stratified interfaces by locally perturbing at an initial instant the standard temperature lapse rate at the cloud interface and then observing the temporal evolution of the system. When the buoyancy term becomes of the same order of the inertial one, we observe a spatial redistribution of the kinetic energy which produce a concomitant pit of kinetic energy within the mixing layer. In this situation, the mixing layer contains two interfacial regions with opposite kinetic energy gradient, which in turn produces two intermittent sublayers in the velocity fluctuations field. This changes the structure of the field with respect to the corresponding non-stratified shearless mixing: the communication between the two turbulent region is weak, and the growth of the mixing layer stops. These results are discussed with respect to experimental results with and without stratification.Comment: 12 pages, 8 figure

    Adjuvant radiation therapy in stage I seminoma: 20 years of oncologic results

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    Aim: To report long term oncologic outcomes after adjuvant radiotherapy (RT) for stage I seminoma. Method: We reviewed the complete data set for all patients treated at our institute between 1988 and 2005 for stage I seminoma with adjuvant RT after radical orchiectomy. Results: A total of 85 patients were included. The median follow-3up was 15 years. The 20-3year overall survival (OS) and relapse free survival (RFS) were 92% and 96.3%, respectively. No severe acute and late complications were recorded. Overall 5.9% of patients had a second unrelated malignancy. Conclusion: Adjuvant RT is an efficacious and safe treatment in stage I seminom

    Rainfall-runoff model parameter conditioning on regional hydrological signatures: application to ungauged basins in southern Italy

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    Parameter estimation for rainfall-runoff models in ungauged basins is a key aspect for a wide range of applications where streamflow predictions from a hydrological model can be used. The need for more reliable estimation of flow in data scarcity conditions is, in fact, thoroughly related to the necessity of reducing uncertainty associated with parameter estimation. This study extends the application of a Bayesian procedure that, given a generic rainfall-runoff model, allows for the assessment of posterior parameter distribution, using a regional estimate of 'hydrological signatures' available in ungauged basins. A set of eight catchments located in southern Italy was analyzed, and regionalized, and the first three L-moments of annual streamflow maxima were considered as signatures. Specifically, the effects of conditioning posterior model parameter distribution under different sets of signatures and the role played by uncertainty in their regional estimates were investigated with specific reference to the application of rainfall-runoff models in design flood estimation. For this purpose, the continuous simulation approach was employed and compared to purely statistical methods. The obtained results confirm the potential of the proposed methodology and that the use of the available regional information enables a reduction of the uncertainty of rainfall-runoff models in applications to ungauged basins

    Virtual Reality for training the public towards unexpected emergency situations

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    Nowadays, unexpected situations in public spaces are quite frequent; for this reason, there is the need to provide valid decision-making tools to support people’s behavior in emergency situations. The aim of these support tools is to provide a “training” for the public on how to behave when something unexpected happens, in order to make them aware of how to manage and control their own emotions. Thanks to the introduction of new technologies, trainings are also feasible in Virtual Reality (VR), exploiting the chance to create virtual environments and situations that reflect real ones and test different scenarios on a sample of people in order to verify and validate training procedures. Virtual simulations in this context are paramount, because they offer the possibility to analyse reactions and behaviors in a safe, “not real”, so without health concern, environment. Three scenarios (fire, heart attack of a person in the environment and terrorist attack) have been reproduced in VR, analyzing how to define the context for emergency situations. Users approaching the training only know they are going to face a situation without having details on what is happening; this is fundamental to test the training efficiency on people’s reaction

    Evaluation of the Effects of Anxiety on Behaviour and Physiological Parameters in VR Fire Simulations

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    This study considers the use of virtual reality technologies both to evaluate the optimal exodus paths from buildings and to analyze the behaviour of people in emergencies through the monitoring of physiological parameters. The degree of realism with which VR devices can simulate highly anxiogenic scenarios is considered. The experimentation is carried out on a school building and tested through a pilot trial where saturation, blood pressure, heart rate as well as the time of exodus are monitored. The variations of the peak values of physiological parameters highlight the influence of anxiogenic elements in the participant's state of anxiety

    Interactive Information Models and Augmented Reality in the Digital Age

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    The construction industry in the digital era has seen significant changes in design, construction, and spatial process learning through new technological systems. These processes influence management and how data is collected, cataloged, and monitored using sensors and connected users. The real challenge that the digital era imposes on the society of the future is to define new secure and resilient digital models coupled with interoperable methods that minimize the impacts of our built heritage throughout its lifecycle. For these reasons, new models are being investigated to educate, gain detailed knowledge of places, design inclusive spaces that meet users’ needs and finally manage and maintain the built heritage. New technologies of Augmented and Virtual Reality support principals and users to define stable and interoperable relational processes. Although the challenge is ambitious, it is essential to find efficient solutions in governance policies for the city’s futur

    Coherent transport in extremely underdoped Nd1.2Ba1.8Cu3Oz nanostructures

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    Proximity-effect and resistance magneto-fluctuations measurements in submicron Nd1.2Ba1.8Cu3Oz (NBCO) nano-loops are reported to investigate coherent charge transport in the non-superconducting state. We find an unexpected inhibition of cooper pair transport, and a destruction of the induced superconductivity, by lowering the temperature from 6K to 250mK. This effect is accompanied by a significant change in the conductance-voltage characteristics and in the zero bias conductance response to the magnetic field pointing to the activation of a strong pair breaking mechanism at lower temperature. The data are discussed in the framework of mesoscopic effects specific to superconducting nanostructures, proximity effect and high temperature superconductivity.Comment: to appear on new journal of Physic
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