74 research outputs found

    On the Translation

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    The translation at hand reveals the place of symmetry and proportion in the context of contemporary education of the early modern era, especially the education of artists. In the original contribution and subject of this translation, Giovanni Paolo Gallucci expands on Dürer’s nascent interest in the proportions of a diversity of human types and extends this interest in diversity to elaborate systems of physiognomy and humoral readings. Interestingly, the volume’s author was not an artist, nor..

    E-Fuels: A Comprehensive Review of the Most Promising Technological Alternatives towards an Energy Transition

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    E-fuels represent a crucial technology for transitioning to fossil-free energy systems, driven by the need to eliminate dependence on fossil fuels, which are major environmental pollutants. This study investigates the production of carbon-neutral synthetic fuels, focusing on e-hydrogen (e-H2) generated from water electrolysis using renewable electricity and carbon dioxide (CO2) captured from industrial sites or the air (CCUS, DAC). E-H2 can be converted into various e-fuels (e-methane, e-methanol, e-DME/OME, e-diesel/kerosene/gasoline) or combined with nitrogen to produce e-ammonia. These e-fuels serve as efficient energy carriers that can be stored, transported, and utilized across different energy sectors, including transportation and industry. The first objective is to establish a clear framework encompassing the required feedstocks and production technologies, such as water electrolysis, carbon capture, and nitrogen production techniques, followed by an analysis of e-fuel synthesis technologies. The second objective is to evaluate these technologies’ technological maturity and sustainability, comparing energy conversion efficiency and greenhouse gas emissions with their electric counterparts. The sustainability of e-fuels hinges on using renewable electricity. Challenges and future prospects of an energy system based on e-fuels are discussed, aiming to inform the debate on e-fuels’ role in reducing fossil fuel dependency

    Atherosclerosis and the Bidirectional Relationship between Cancer and Cardiovascular Disease: From Bench to Bedside—Part 1

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    Atherosclerosis, a complex metabolic-immune disease characterized by chronic inflammation driven by the buildup of lipid-rich plaques within arterial walls, has emerged as a pivotal factor in the intricate interplay between cancer and cardiovascular disease. This bidirectional relationship, marked by shared risk factors and pathophysiological mechanisms, underscores the need for a comprehensive understanding of how these two formidable health challenges intersect and influence each other. Cancer and its treatments can contribute to the progression of atherosclerosis, while atherosclerosis, with its inflammatory microenvironment, can exert profound effects on cancer development and outcomes. Both cancer and cardiovascular disease involve intricate interactions between general and personal exposomes. In this review, we aim to summarize the state of the art of translational data and try to show how oncologic studies on cardiotoxicity can broaden our knowledge of crucial pathways in cardiovascular biology and exert a positive impact on precision cardiology and cardio-oncology

    APPLICAZIONE DEI MICROARRAY PROTEICI NELLA DIAGNOSTICA AVANZATA DI PATOLOGIEMICROBICHE E VIRALI

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    L’immobilizzazione di matrici microscopiche (microarray) di acidi nucleici su substrato solido ha rappresentato un passo avanticruciale per lo sviluppo di saggi multiparametrici che consentissero l’analisi dei livelli di espressione genica di un organismo.Tuttavia l’analisi dell’espressione genica non fornisce indicazioni sull’abbondanza e funzione di biomolecole fondamentali nelladefinizione di un fenotipo e/o nell’evoluzione di un processo patogenetico. Pertanto sono stati messi a punto microarray contenentiproteine, anticorpi, lipidi, carboidrati con applicazioni in ricerca e in diagnostica. In questa ottica nel presente lavoro, ci siè proposti di mettere a punto un sistema di diagnostica avanzata, basato sulla tecnologia del microarray proteico, per la determinazionesimultanea e multiparametrica di IgG e IgM specifiche nei confronti di antigeni microbici importanti nella diagnosticaprenatale. Microarray di IgG e IgM umane ed antigeni microbici vengono deposti su vetrini da microscopio con superficiechimicamente reattiva per mezzo di un sistema robotizzato ad alta precisione. I microarray cosí prodotti vengono incubati consiero e successivamente con anticorpi marcati con fluorofori per la rilevazione del segnale. I vetrini vengono infine analizzaticon uno strumento che combina microscopia laser confocale e ricostruzione digitale dell’immagine. L’intensitá del segnale incorrispondenza degli antigeni viene quantificata utilizzando come riferimento le curve di calibrazione generate depositando sulvetrino quantitá decrescenti di IgG e IgM. Esperimenti di validazione hanno messo in evidenza come il saggio immunologicoper la rilevazione delle IgG dirette contro gli antigeni del complesso ToRCH avesse sensibilitá di 0.5 μg/mL e una precisionetra 1,7% e 14,6% per tutti gli antigeni analizzati. Utilizzando campioni di siero provenienti da pazienti, si è ottenuta una eccellenteconcordanza tra microarray ed ELISA che sottolinea l’efficacia del sistema microarray. Considerati i notevoli vantaggi intermini di costo e convenienza, riteniamo che la tecnologia del microarray proteico possa essere, in un prossimo futuro, introdottacome sistema di routine nei laboratori di analisi

    The Conundrum of Cancer-Associated Thrombosis:Lesson Learned from Two Intriguing Cases and Literature Review

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    The correlation between cancer and venous thromboembolism (VTE) is solid, whereas the knowledge about cancer-related arterial thromboembolism (ATE) still needs a deeper investigation to clarify its pathogenesis. We describe two cases that represent useful hints for a comprehensive review of the thrombotic issue. A 75-year-old man with advanced rectal cancer treated with fluoropyrimidines suffered two catheter-related VTE events managed according to current guidelines. There was no indication for “extended” anticoagulant therapy for him, but during antithrombotic wash-out and fluoropyrimidines plus panitumumab regimen, he suffered a massive right coronary artery (RCA) thrombosis. Another patient with no cardiovascular (CV) risk factors and affected by advanced bladder cancer was treated with a platinum-containing regimen and suffered an acute inferior myocardial infarction 2 days after chemotherapy administration. He was successfully treated with primary Percutaneous Transluminal Coronary Angioplasty of RCA, discontinuing platinum-based therapy. Our observations raise the issue of cancer-associated thrombosis (CAT) complexity and the potential correlation between arterial and venous thrombotic events. Moreover, physicians should be aware of the thrombotic risk associated with anticancer therapies, suggesting that an appropriate prophylaxis should be considered

    Deterministic and stochastic modeling of heterogeneous catalytic selective hydrogenation of vegetable oil

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    Vegetable oils (VO) can provide sustainable feedstock to substitute chemicals currently obtained from petrol. VO are majorly composed of saturated or unsaturated fatty acids with 18 carbon atoms (C18), free or esterifying glycerol. The monounsaturated C18 fatty acid (C18:1, oleic acid) is of industrial interest. Heterogeneous catalytic selective hydrogenation of VO is studied to maximize the fraction of C18:1 in VO. The current work investigates hydrogenation from the modelling point of view, examining the relation between deterministic models (based on classical ordinary differential equations) and stochastic models (implemented by dedicated algorithms). The investigation starts from experimental data of canola oil treated with H2 in presence of commercial Lindlar catalyst. Two reaction schemes were considered to develop the deterministic models. Two algorithms (Gillespie's stochastic simulation algorithm and tau-leaping) were implemented for stochastic simulations. The whole simulative work was carried out by MATLAB® 2023b. The deterministic model shows that consecutive hydrogenations of one double bond per step with pseudo-first order rate laws – the most straightforward reaction scheme considered in this work – interpret the experimental data well, provided that variable selectivity values are introduced. The stochastic simulations at different numbers of initial molecules allow a multiscale analysis of the system, confirming the reliability of the chosen reaction scheme and suggesting that the experimental system is in its thermodynamic limit, in the sense of statistical–mechanics, at all investigated conditions. © 2024 The Author(s
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