University of Basilicata

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    Influence of processing on the technological and sensory quality of bread: an overview

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    The quality of bread is mainly affected by three key phases of production: mixing, leavening, and baking. Each step contributes to the final rheological and sensory properties of the bread. However, especially during the mixing phase, the choice of ingredients and the processing parameters, such as mixing time, dough temperature, mixing speed, and total water content, affect the development of the dough. The properties and behavior of dough are measured by rheological tests, which are crucial from the perspective of optimization. This paper aims to shed light on both technological and sensory aspects of factors that affect the quality of bread

    Testing Semi-Automated Landforms Extraction Using Field-Based Geomorphological Maps

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    The semi-automated extraction of landforms using GIS analysis is one of the main topics in computer analyses. The use of digital elevation models (DEMs) in GIS applications makes the extraction and classification procedure of landforms easier and faster. In the present paper, we assess the accuracy of semi-automated landform maps by means of a comparison with hand-made landform maps realized in the Pleistocene Agri intermontane basin (southern Italy). In this study, landform maps at three different scales of 1:50,000, 1:25,000, and 1:10,000 were used to ensure a good level of detail in the spatial distribution of landforms. The semi-automated extraction and classification of landforms was performed using a GIS-related toolbox, which identified ~48 different landform types. Conversely, the hand-made landform map identified ~57 landforms pertaining to various morphogenetic groups, such as structural, fluvial, karst landforms, etc. An overlap of the two landform maps was produced using GIS applications, and a 3D block diagram visualization was realized. A visual inspection of the overlapping maps was conducted using different spatial scales of patch frames and then analyzed to provide information on the accuracy of landform extraction using the implemented tools

    Influence of Climatic Conditions and Atmospheric Pollution on Admission to Emergency Room During Warm Season: The Case Study of Bari

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    The study of the effects of climate change and air pollution on human health is an interesting topic for wellbeing projects in urban areas. We present a method for highlighting how adverse weather and environmental conditions affect human health and influence emergency room admissions during the summer in an urban area. Daily apparent temperature, a biometeorological index, was used to characterize thermal discomfort while atmospheric concentrations of PM10 and NOX were used as indicators of unfavorable environmental conditions. We analyzed how the above parameters influence the emergency room access, considering all the different pathologies. Over the four years analyzed, we identified the periods during which environmental conditions (both thermal discomfort and pollutant concentrations) were unfavorable, the persistence of these conditions, and verified that during these days, the average daily number of emergency room visits increased. Visits for ENT and dermatological disorders also showed significant increases. Our analysis showed that emergency room access is useful in evaluating the impact of unfavorable climatic and environmental conditions on human health during the summer period; viceversa, our results could be used to optimize resource management in emergency rooms during this specific period of the year

    Green synthesis of gold nanoparticles from pomegranate juice ascertained by a combined approach based on MALDI FT-ICR MS and LC-ESI-MS/MS

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    This research employs advanced analytical techniques to explore the specific roles of Pomegranate Juice (PJ) phytochemicals in both the reduction and stabilization of gold nanoparticles (AuNPs) obtained by means of juice from wasted fruits. A level 3 for classes annotation, used for MALDI FT ICR-MS data, was useful to provide an immediate visualization of the main involved metabolites in AuNPs synthesis, through van Krevelen diagrams. More than 25 elemental formulae containing at least one Au atom were assigned to AuNPs sample, confirming the formation of organogold complexes. LC-MS/MS analysis allowed a level 2 annotation of polyphenols and carbohydrates involved in metal reduction and AuNPs surface coating. This work highlights the potential of PJ in green nanoparticles synthesis, providing insights into the bioactive compounds responsible for the tunable characteristics of AuNPs

    A new MATLAB software for numerical computation of biological observables for metastatic tumor growth

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    In this paper a new MATLAB Toolbox is introduced, Metastatic Tumor Growth Modeling (MTGM). MTGM Toolbox is freely available on a GitHub repository https://github.com/IuliaMartinaBulai/MTGM_Toolbox and equips the researchers with five different functionalities. The first one refers to the numerical resolution of a general Volterra Integral Equation (VIE) of the second kind on the positive semiaxis while the last four ones to the computation of biological observables related to metastatic tumor growth models. In particular, the computed observables are the cumulative number of metastases (CNM) and the total metastatic mass (TMM) derived from: (i) a 1D metastatic tumor growth (t.g.) model where the analytical solution of the ODE describing the t.g. law is known, (ii) a 1D model where this solution has to be numerically computed, (iii) a 2D non-autonomous metastatic t.g. model where also the treatment is considered, (iv) a 2D autonomous model, i.e., in the absence of therapies. Moreover, the Toolbox implementation was designed in order to give the users the possibility to extend its functionalities

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