51 research outputs found

    Unsupervised Machine Learning and Data Mining Procedures Reveal Short Term, Climate Driven Patterns Linking Physico-Chemical Features and Zooplankton Diversity in Small Ponds

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    Machine Learning (ML) is an increasingly accessible discipline in computer science that develops dynamic algorithms capable of data-driven decisions and whose use in ecology is growing. Fuzzy sets are suitable descriptors of ecological communities as compared to other standard algorithms and allow the description of decisions that include elements of uncertainty and vagueness. However, fuzzy sets are scarcely applied in ecology. In this work, an unsupervised machine learning algorithm, fuzzy c-means and association rules mining were applied to assess the factors influencing the assemblage composition and distribution patterns of 12 zooplankton taxa in 24 shallow ponds in northern Italy. The fuzzy c-means algorithm was implemented to classify the ponds in terms of taxa they support, and to identify the influence of chemical and physical environmental features on the assemblage patterns. Data retrieved during 2014 and 2015 were compared, taking into account that 2014 late spring and summer air temperatures were much lower than historical records, whereas 2015 mean monthly air temperatures were much warmer than historical averages. In both years, fuzzy c-means show a strong clustering of ponds in two groups, contrasting sites characterized by different physico-chemical and biological features. Climatic anomalies, affecting the temperature regime, together with the main water supply to shallow ponds (e.g., surface runoff vs. groundwater) represent disturbance factors producing large interannual differences in the chemistry, biology and short-term dynamic of small aquatic ecosystems. Unsupervised machine learning algorithms and fuzzy sets may help in catching such apparently erratic differences

    modelling the thermo mechanical behavior of a redesigned tool holder to reduce the component geometrical deviations in cryogenic machining

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    Abstract In recent years cryogenic cooling based on Liquid Nitrogen has been adopted to improve the titanium alloys machinability mainly in rough operations. However, when applied to semi-finishing machining, the very low temperatures may significantly affect the component final geometry. To this aim, the paper presents the thermal-mechanical modeling of a new tool holder properly designed to reduce the component geometrical deviations from its nominal geometry during cryogenic machining. The model was calibrated and validated through turning trials on wrought Ti6Al4V samples, proving a reliable prediction of the tool holder behavior during cryogenic machining

    Collagen Fiber Array of Peritumoral Stroma Influences Epithelial-to-Mesenchymal Transition and Invasive Potential of Mammary Cancer Cells

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    : Interactions of cancer cells with matrix macromolecules of the surrounding tumor stroma are critical to mediate invasion and metastasis. In this study, we reproduced the collagen mechanical barriers in vitro (i.e., basement membrane, lamina propria under basement membrane, and deeper bundled collagen fibers with different array). These were used in 3D cell cultures to define their effects on morphology and behavior of breast cancer cells with different metastatic potential (MCF-7 and MDA-MB-231) using scanning electron microscope (SEM). We demonstrated that breast cancer cells cultured in 2D and 3D cultures on different collagen substrates show different morphologies: i) a globular/spherical shape, ii) a flattened polygonal shape, and iii) elongated/fusiform and spindle-like shapes. The distribution of different cell shapes changed with the distinct collagen fiber/fibril physical array and size. Dense collagen fibers, parallel to the culture plane, do not allow the invasion of MCF-7 and MDA-MB-231 cells, which, however, show increases of microvilli and microvesicles, respectively. These novel data highlight the regulatory role of different fibrillar collagen arrays in modifying breast cancer cell shape, inducing epithelial-to-mesenchymal transition, changing matrix composition and modulating the production of extracellular vesicles. Further investigation utilizing this in vitro model will help to demonstrate the biological roles of matrix macromolecules in cancer cell invasion in vivo

    Multiparty Session Types as Coherence Proofs

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    We propose a Curry-Howard correspondence between a language for programming multiparty sessions and a generalisation of Classical Linear Logic (CLL). In this framework, propositions correspond to the local behaviour of a participant in a multiparty session type, proofs to processes, and proof normalisation to executing communications. Our key contribution is generalising duality, from CLL, to a new notion of n-ary compatibility, called coherence. Building on coherence as a principle of compositionality, we generalise the cut rule of CLL to a new rule for composing many processes communicating in a multiparty session. We prove the soundness of our model by showing the admissibility of our new rule, which entails deadlock-freedom via our correspondence

    Oleic, Linoleic and Linolenic Acids Increase ROS Production by Fibroblasts via NADPH Oxidase Activation

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    The effect of oleic, linoleic and γ-linolenic acids on ROS production by 3T3 Swiss and Rat 1 fibroblasts was investigated. Using lucigenin-amplified chemiluminescence, a dose-dependent increase in extracellular superoxide levels was observed during the treatment of fibroblasts with oleic, linoleic and γ-linolenic acids. ROS production was dependent on the addition of β-NADH or NADPH to the medium. Diphenyleneiodonium inhibited the effect of oleic, linoleic and γ-linolenic acids on fibroblast superoxide release by 79%, 92% and 82%, respectively. Increased levels of p47phox phosphorylation due to fatty acid treatment were detected by Western blotting analyses of fibroblast proteins. Increased p47phox mRNA expression was observed using real-time PCR. The rank order for the fatty acid stimulation of the fibroblast oxidative burst was as follows: γ-linolenic > linoleic > oleic. In conclusion, oleic, linoleic and γ-linolenic acids stimulated ROS production via activation of the NADPH oxidase enzyme complex in fibroblasts

    An Enriched European Eel Transcriptome Sheds Light upon Host-Pathogen Interactions with Vibrio vulnificus

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    Infectious diseases are one of the principal bottlenecks for the European eel recovery. The aim of this study was to develop a new molecular tool to be used in host-pathogen interaction experiments in the eel. To this end, we first stimulated adult eels with different pathogen-associated molecular patterns (PAMPs), extracted RNA from the immune-related tissues and sequenced the transcriptome. We obtained more than 2 x 10(6) reads that were assembled and annotated into 45,067 new descriptions with a notable representation of novel transcripts related with pathogen recognition, signal transduction and the immune response. Then, we designed a DNA-microarray that was used to analyze the early immune response against Vibrio vulnificus, a septicemic pathogen that uses the gills as the portal of entry into the blood, as well as the role of the main toxin of this species (RtxA13) on this early interaction. The gill transcriptomic profiles obtained after bath infecting eels with the wild type strain or with a mutant deficient in rtxA13 were analyzed and compared. Results demonstrate that eels react rapidly and locally against the pathogen and that this immune-response is rtxA13-dependent as transcripts related with cell destruction were highly up-regulated only in the gills from eels infected with the wild-type strain. Furthermore, significant differences in the immune response against the wild type and the mutant strain also suggest that host survival after V. vulnificus infection could depend on an efficient local phagocytic activity. Finally, we also found evidence of the presence of an interbranchial lymphoid tissue in European eel gills although further experiments will be necessary to identify such tissue

    Characterization of novel mutants in the Chloroplast Unfolded Protein Response of Chlamydomonas reinhardtii

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    reservedGreen algae and land plants play a pivotal role in supporting life on Earth through photosynthesis. The process of photosynthesis takes place inside their chloroplasts, intracellular organelles that are enclosed by a double membrane and contain a semi-autonomous gene expression system. These organisms have, therefore, developed a plethora of mechanisms to ensure that their chloroplasts function efficiently under a wide range of environmental conditions. One mechanism through which protein homeostasis is maintained is the chloroplast unfolded protein response (cpUPR). The cpUPR is activated in response to chloroplast proteotoxic stress and triggers the transcriptional up-regulation of hundreds of nuclear genes encoding factors that can alleviate chloroplast protein damage and its cellular consequences. As of today, only one cpUPR player has been discovered and characterized, "Mutant Affecting chloroplast-to-nucleus Retrograde Signaling 1" (MARS1), a cytosolic kinase. Therefore, it is reasonable to speculate the existence of upstream components that relay signals from the chloroplast as well as downstream components that transduce the signal to the nucleus. In my thesis project I aim to identify additional key cpUPR players in the green alga Chlamydomonas reinhardtii as a model system. Conducive to this goal, I adopt a forward genetic screen and a suppressor screen followed by the characterization of the most promising candidates with various drug treatments, qRT-PCR and immunoblot analysis. Ultimately, advancing our mechanistic understanding of cpUPR will contribute to a better understanding of how plants cope and adapt to environmental stressors that cause chloroplast protein damage

    BMC 75--Nuova ed esatta Carta Della America Ricavata dale Mappe, e carte piu approvate, 1763

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    Map of North and South America engraved by Andrea Scacciati and published in Il Gazzettiere Americano by Marco Coltellini, Livorno, 1763. The atlas is the first Italian translation of The American Gazetteer published in 1762. The maps accompanying the atlas are derived from the French cartographer Jacques Nicolas Bellin. The works bear the signatures of Veremondo Rossi, Andrea Scacciati, Giuseppe Maria Terreni and also Violante Vanni, a rare case of Italian women\u27s engagement in the cartographic field.https://digitalmaine.com/arc_baxter/1025/thumbnail.jp

    BMC 75--Nuova ed esatta Carta Della America Ricavata dale Mappe, e carte piu approvate, 1763

    No full text
    Map of North and South America engraved by Andrea Scacciati and published in Il Gazzettiere Americano by Marco Coltellini, Livorno, 1763. The atlas is the first Italian translation of The American Gazetteer published in 1762. The maps accompanying the atlas are derived from the French cartographer Jacques Nicolas Bellin. The works bear the signatures of Veremondo Rossi, Andrea Scacciati, Giuseppe Maria Terreni and also Violante Vanni, a rare case of Italian women\u27s engagement in the cartographic field.https://digitalmaine.com/arc_baxter/1025/thumbnail.jp
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