Articoli di riviste sul tema "Silvio Trentin"

Il saggio riguarda la crisi delle forze democratiche in Italia tra il 1924 e il 1925, nel momento in cui si stava instaurando la dittatura fascista. Il tema viene affrontato a partire dalle esperienze di due esponenti democratici - Silvio Trentin e Ivanoe Bonomi - e attraverso il loro rapporto testimoniato dalle lettere inedite che il primo scrisse al secondo, pubblicate in appendice. Se nel febbraio 1924 Trentin sembra gravitare nell'orbita di Bonomi con il quale ha una'affinitŕ ideologica, dopo 12 mesi - segnati dall'assassinio di Matteotti e dall'Aventino - č diventato un convinto sostenitore di Giovanni Amendola, di cui, diversamente da Bonomi, abbraccia tra l'altro il progetto di unire tutte le forze democratiche, trasformandone la federazione (Unione nazionale) in un vero e proprio partito. Dall'analisi delle lettere di Trentin si evince uno spettro significativo delle vie praticate da esponenti democratici di diverso orientamento per fronteggiare lo sconvolgimento politico rappresentato dall'affermarsi del fascismo.

L'autore intende analizzare la ricezione di Pierre-Joseph Proudhon da parte degli antifascisti italiani esuli in Francia negli anni tra le due guerre, prendendo in esame l'interpretazione del pensiero proudhoniano fornita dal sociologo russo Georges Gurvitch. Fu grazie alla mediazione di Gurvitch che fuorusciti italiani come Andrea Caffi e Silvio Trentin accolsero con favore le intuizioni proudhoniane relative al "Diritto economico". La nozione gurvitchiana di "Diritto sociale" (rielaborazione del "Diritto economico" proudhoniano) - l'unico principio normativo in grado di governare in maniera equa il corpo sociale stabilendo una condizione di equilibro all'interno del conflitto - ha suscitato una grande influenza sulla cultura antitotalitaria che gravitava intorno agli ambienti giellisti. L'autore illustra le differenti sensibilitÀ espresse dai fuorusciti a partire da un'indagine dei loro scritti rintracciando i riferimenti teorici presenti nell'opera proudhoniana e nel lavoro di Gurvitch.

AbstractWe report a 13-year-old male patient with severe orthopedic problems including features of a connective tissue disorder and a heterozygous c.305T > A variant found within exon 3 of the autosomal dominant collagen (COL5A1) gene causing the classic Ehlers–Danlos syndrome. This variant has not been reported previously and identified as having an unknown clinical significance but classified as trending damaging per in silico prediction with high conservation among species. Our patient's father had the same gene variant and similar features of stretchable skin, easy bruising, and multiple joint dislocations. The father had unexplained heart failure requiring cardiac transplantation at 43 years of age.

Self-monitoring of blood glucose (SMBG) is now recognised as a core component of diabetes self-management. However, there are many limitations to SMBG use in individuals with diabetes who are treated with intensive insulin regimens. Many individuals do not test at the recommended frequencies. Additionally, because SMBG only provides a blood glucose reading at a single point in time, hypoglycaemia and hyperglycaemia can easily go undetected, limiting the user’s ability to take corrective action. Inaccuracies due to user error, environmental factors and weaknesses in SMBG system integrity further limit the utility of SMBG. Real-time continuous glucose monitoring (CGM) displays the current glucose, direction and velocity of glucose change and provides programmable alarms. This trending information and ‘aroundthe- clock’ vigilance provides a significant safety advantage relative to SMBG. No published clinical studies have evaluated outcomes when CGM is used as a replacement for SMBG; however, recent in silico studies support this indication. This article reviews the limitations of SMBG and discusses recent evidence that supports CGM-based decisions as an effective approach to managing insulin-treated diabetes.

BackgroundManagement of the health emergency caused by COVID-19 pandemic majorly disrupted the delivery of healthcare services to patients with chronic conditions like Systemic Autoimmune Diseases (SAD), both because resources were mainly channeled towards the care of infected patients, but also because patients tended to avoid seeking medical care for fear of becoming infected. PER-MAS is a 2-year project aimed at assessing the clinical, psychopathological, and socio-economic impact of COVID-19 in a cohort of patients with SAD.ObjectivesTo assess the impact of COVID-19 pandemic on drug withdrawal, disease flares and hospitalizations for disease exacerbation in a cohort of patients with SAD through an interim analysis of data from the PER-MAS project.MethodsA sample of 214 consecutive patients was recruited in a reference center for rare and complex autoimmune diseases from April 2021 to January 2022. Inclusion criteria were definite diagnosis of SAD (Connective Tissue Disease (CTD), Inflammatory Arthritis (IA) or Vasculitis), regular follow-up and at least 2 years of disease. Patients were asked to fill out an extensive self-administered questionnaire on disease activity and healthcare resource use during the pandemic (March 2020-moment of assessment). Pre-pandemic (March 2019-February 2020) and early pandemic (March 2020-February 2021) clinical data were recorded through retrospective chart review and patient interview.ResultsAt enrolment, 119 patients were affected by CTDs (55.6%), 71 by IA (33.18%), 24 by vasculitis (11.21%), with mean age 50.44± 12.97, and mean disease duration 11.17 ± 8.94. 30.37% took steroids, 39.7% hydroxychloroquine, 61.68% DMARDs, and 9.3% vasoactive drugs.Overall, disease course was similar in pre-pandemic and early pandemic phase: in the first period, rheumatologic condition was stable in 57.35% of patients, persistently active in 27.3% and 35.61% had ≥ 1 episode of disease exacerbation (mean 0.665±1.15, range 0-6); in the second period, 60.56% of patients was stable, 24.88% persistently active, and 39.44% had ≥1 exacerbation (mean 0.49 ±0.77, range 0-4). Mean number of visits (2.56±2.57 and 2.61±2.79), hospitalizations (0.168±0.698 and 0.14±0.473, p=0.6), number of patients with outpatient visits=0 (7.47 vs 7%), and number of patients with ≥ 1 hospital admission (10.28 vs 11.6%) were also similar, while the number of patients with hospital admissions for disease exacerbation was significantly higher in the second period (6.1 vs 11.21%, p=0.001).170 patients completed the survey: from March 2020 to enrolment, 18.2% suspended ≥1 anti-rheumatic drug (6.25% of them for fear of contracting COVID-19 disease, 15.6% for difficulty in obtaining medications), 20% self-managed ≥ 1 disease exacerbation, and 40% had ≥ 1 telemedicine consult. From March to July 2020, 41.76% had their visit rescheduled (35.23% for hospital access restrictions, 5.3% for travel restrictions, 1.17% for fear). Conversely, only 14.7% of patients had their visit rescheduled (8.23% for hospital access restrictions, 4.7% for other reasons) from July 2020 to enrolment.ConclusionIn the early pandemic phase, overall disease course was similar to the pre-pandemic phase, but we observed an increase in the number of patients with ≥ 1 hospitalization for disease. Moreover, despite our efforts, patients reported a non-negligible rate of drug discontinuation for non-medical indication and difficulty to get access to rheumatologic consultation, highlighting the need of alternative organizational models in case of future pandemics.AcknowledgementsGiulia Sacco for helping in patient recruitment and data management.Disclosure of InterestsFrancesca Trentin: None declared, Giovanni Fulvio: None declared, Gianni Andreozzi: None declared, Cosimo Cigolini: None declared, Mattia Da Rio: None declared, Valerio Dell’Oste: None declared, Elena Elefante: None declared, Federico Fattorini: None declared, Silvia Fonzetti: None declared, Valentina Lorenzoni: None declared, Michele Maffi: None declared, Inmaculada Concepción Navarro García: None declared, Ilaria Palla: None declared, Virginia Pedrinelli: None declared, Laura Scagnellato: None declared, Davide Schilirò: None declared, Anastasiya Valevich: None declared, Andrea Gaglioti: None declared, Claudia Carmassi: None declared, Chiara Tani: None declared, Liliana Dell’Osso: None declared, Giuseppe Turchetti: None declared, Marta Mosca Speakers bureau: Lilly, Astra Zeneca, GSK, Consultant of: Lilly, Astra Zeneca, GSK

<p class="zkltext">Beata BALLOKOVA, Institute of Materials Research, Slovak Academy of Sciences, Kosice, Slovakia</p><p class="zkltext">Silvie BROŽOVÁ, VŠB – Technical University of Ostrava, Ostrava, Czech Repuplic</p><p class="zkltext">Štefan BOVA, Military unit 7945, Rožňava, Slovakia</p><p class="zkltext">Branislav BUĽKO, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Ladislav CENIGA, Institute of Materials Research, Slovak Academy of Sciences, Kosice, Slovakia</p><p class="zkltext">Radek ČADA, VŠB – Technical University of Ostrava, Czech Repuplic</p><p class="zkltext">Elena ČIZMAROVÁ, Czech Technical University in Prague, Czech Repuplic</p><p class="zkltext">Numan DURAKBASA, Vienna University of Technology, Austria</p><p class="zkltext">Emil EVIN, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia</p><p class="zkltext">Ladislav FALAT, Institute of Materials Research, Slovak Academy of Sciences, Kosice, Slovakia</p><p class="zkltext">Anna GUZANOVÁ, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia</p><p class="zkltext">Noé CHEUNG, University of Campinas, Brazil</p><p class="zkltext">Maria HAGAROVA, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Ingrid HAGAROVA, Comenius University in Bratislava, Slovakia</p><p class="zkltext">Maria HEŽELOVÁ, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Shamsul Baharin JAMALUDIN, Universiti Malaysia Perlis, Perlis, Malaysia</p><p class="zkltext">Dagmar JAKUBÉCZYOVÁ, Institute of Materials Research, Slovak Academy of Sciences, Kosice, Slovakia</p><p class="zkltext">Simona JURSOVÁ, VŠB – Technical University of Ostrava, Czech Repuplic</p><p class="zkltext">Lubos KAŠČÁK, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia</p><p class="zkltext">Monika KAŠIAROVÁ, Institute of Materials Research, Slovak Academy of Sciences, Kosice, Slovakia</p><p class="zkltext">Róbert KOČIŠKO, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Andrea KOVAČOVÁ, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Stanisław KUT, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology</p><p class="zkltext">Andrea MIŠKUFOVÁ, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Tamas MADARASZ, University of Miskolc, Hungary</p><p class="zkltext">Sarka MSALLAMOVA, University of Chemistry and Technology, Prague, Czech Repuplic</p><p class="zkltext">Rudolf PERNIS, Faculty of Special Technology, Alexander Dubcek University of Trencin, Slovakia</p><p class="zkltext">Martina PETRANIKOVA, Chalmers University of Technology, Sweden</p><p class="zkltext">Miroslav PÍŠKA, Brno University of Technology, Czech Repuplic</p><p class="zkltext">Beatrice PLEŠINGEROVÁ, Faculty of Metallurgy, Technical University of Kosice, Slovakia</p><p class="zkltext">Jan SLOTA, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia</p><p class="zkltext">Feliks STACHOWICZ, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology</p><p class="zkltext">Jan STOULIL, University of Chemistry and Technology, Prague, Czech Repuplic</p><p class="zkltext">Andrzej TRYTEK, Politechnika Rzeszowska, Rzeszow, Poland</p>

Au cours des dernières décennies où l’on assiste à une refondation de la morphologie, la discipline s’intéresse de plus en plus à des phénomènes « périphériques », « marginaux », « irréguliers » ou « extragrammaticaux », à des phénomènes n’appartenant pas aux « régions nodales » de la morphologie. Le présent numéro de Linguistica, premier numéro thématique de notre revue, réunit des études qui s’intéres- sent aux frontières internes et externes de la morphologie. La diversité et la richesse des thèmes abordés et des approches proposées témoignent d’un intérêt croissant que les linguistes, non pas uniquement les morphologues, portent à cette thématique.Les articles proposés s’articulent autour de cinq axes majeurs.Un premier axe rassemble les articles qui étudient les frontières entre différentes composantes de la morphologie. L’étude de Michel Roché examine les contraintes lexicales et morphophonologiques sur le paradigme des dérivés en –aie. Les résultats de son analyse remettent en question la notion de « règle de construction des lexèmes ». Irena Stramljič Breznik et Ines Voršič se penchent sur les néologismes de sport en slovène et essaient d’évaluer la productivité ou la créativité des procédés morphologiques en jeu. Dans une étude d’inspiration cognitiviste, Alexandra Bagasheva aborde l’hétérogénéité des verbes composés en anglais. En s’appuyant sur les données fournies par les para- digmes verbaux du maltais, Maris Camilleri examine la complexité du phénomène de classes flexionnelles basées sur les radicaux. Trois travaux concernent des procédés typiquement « extragrammaticaux » servant à former le plus souvent des occasionnalismes: Arnaud Léturgie tente de dégager des propriétés prototypiques de l’amalgamation lexicale en français, notamment celles de la création des mots-valises; Silvia Cacchiani analyse, à l’intérieur du cadre de la morphologie naturelle, les mots-valises formés à partir de noms propres et de substantifs, phénomène relativement récent en ita- lien ; Thomas Schwaiger, se fondant sur les données tirées de la base « Graz Database on Reduplication », traite des constructions rédupliquées dans une perspective universelle. Deux articles adoptent une perspective contrastive: celui d’Eva Sicherl et Andreja Žele étudie la productivité des diminutifs nominaux en slovène et en anglais ; celui de Marie-Anne Berron et Marie Mouton propose une analyse détaillée de l’importance quantificative et qualificative des procédés de la morphologie marginale dans le slam en France et en Allemagne. Géraldine Walther présente un nouveau modèle général, inscrit dans une approche réalisationnelle, qui permet d’évaluer et de formaliser la (non-)canonicité de phénomènes flexionnels.Un deuxième axe se situe sur la frontière séparant la morphologie dérivationnelle de la morphologie flexionnelle. Tatjana Marvin se penche sur le problème de la préservation de l’accent dans les dérivés anglais, mettant en comparaison les approches de Chomsky et de Marantz avec celle de la théorie de l’Optimalité. L’article de Patrizia Cordin explore la façon dont les constructions locatives verbales dans les langues et les dialectes romans, notamment dans le dialecte trentin, ont perdu en partie leur sens spatial au profit d’un sens grammatical plus abstrait (aspect, résultat, intensité etc.). Se focalisant sur la langue indigène d’Australie kayerdild, Erich Round insiste sur l’utilité de la notion de « morphome » qui permet d’instaurer un niveau de représentation linguistique intermédiaire entre les niveaux lexical, morphosyntaxique et morphophonologique. La contribution de Varja Cvetko Orešnik, qui adopte le cadre théorique de l’école ljubljanaise de la syntaxe naturelle, apporte quelques données nouvelles sur la morphophonologie et la morphosyntaxe du verbe en ancien indien.Les deux articles suivants examinent des questions d’ordre morphologique aux- quelles se heurtent les langues entrant en contact : Georgia Zellou traite du cas du cir- confixe /ta...-t/ que l’arabe marocain a emprunté au berbère, tandis que Chikako Shigemori Bučar analyse le sort réservé aux emprunts japonais en slovène.L’axe diachronique est exploré principalement par les articles de Douglas Lightfoot, de Javier E. Díaz Vera et de Metka Furlan. D. Lightfoot examine la perti- nence de la notion d’affixoïde et evalue la « suffixoïdité » de l’élément germanique « -mann ». J. E. Díaz Vera décrit la lexicalisation, voire la grammaticalisation des verbes causatifs en ancien anglais. Metka Furlan se penche sur une relation « morpho- logique » archaïque rattachant le nom protoslave pol’e à l’adjectif hittite palhi-.Autour du dernier axe se réunissent les contributions qui examinent la frontière entre la morphologie et les disciplines linguistiques voisines, telles que la phonologie ou la syntaxe. Marc Plénat étudie en détail les contraintes morphologiques, syntaxiques et phonologiques pesant sur la liaison de l’adjectif au masculin singulier sur le nom en français. Janez Orešnik, fondateur de l’école ljubljanaise de la syntaxe naturelle, explore le comportement morphologique de l’impératif dans une perspective universelle. Mojca Schlamberger Brezar propose une étude contrastive, à partir des don- nées tirées de corpus monolingues et parallèles, de la grammaticalisation du gérondif et du participe en français et en slovène. L’article de Gašper Ilc applique la notionde« cycle de Jespersen » à la négation dans le slovène standard et dans les dialectes pannoniens. Mojca Smolej propose une étude fouillée de l’émergence des articles défini et indéfini dans le slovène parlé spontané.

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L’article étudie la pensée européiste du mouvement antifasciste italien Giustizia e Libertà (GL) né en 1929 à Paris. Pour GL, et en particulier pour son leader Carlo Rosselli, l’antifascisme devenait une lutte européenne face à la propagation du fascisme au-delà des frontières italiennes, et notamment face à la montée du nazisme en Allemagne. L’article analyse un discours européiste qui mine la notion politique et territoriale de frontière en Europe, en s’appuyant sur les écrits. Y apparaît, à travers les réflexions de Carlo Rosselli, Andrea Caffi, Silvio Trentin, une critique de l’État-nation et un projet qui vise finalement à dépasser les frontières infra-européennes telles qu’elles existaient. Les titres de deux articles de Rosselli sont éloquents : Contro lo Stato (1934) et Europeismo o fascismo (1935). Dans le cadre de la crise morale et politique des années 1930, GL se veut porteur d’une idée d’Europe nouvelle, pacifiée, démocratique et fédérale, radicalement opposée aux fascismes.

In silico tool is the flourishing pathway for Researchers and budding chemists to strain the analytical data in a snapshot. Traditionally, drug research has heavily relied on labor-intensive experiments, often limited by time, cost, and ethical constraints. In silico tools have paved the way for more efficient and cost-effective drug development processes. By employing advanced computational algorithms, these tools can screen large libraries of compounds, identifying potential toxicities and prioritizing safer drug candidates for further investigation. Integrating in silico tools into the drug research pipeline has significantly accelerated the drug discovery process, facilitating early-stage decision-making and reducing the reliance on resource-intensive experimentation. Moreover, these tools can potentially minimize the need for animal testing, promoting the principles of the 3Rs (reduction, refinement, and replacement) in animal research. This paper highlights the immense potential of in silico tools in revolutionizing drug research. By leveraging computational models to predict drug metabolism, pharmacokinetics, and toxicity. Researchers can make informed decisions and prioritize the most promising drug candidates for further investigation. The synchronicity of In silico tools in this article on trending topics is insightful and will play an increasingly integral role in expediting drug development.

Abstract Background Breast cancer ranks top among newly reported cancer cases and most of the women suffers from breast cancer. Development of target therapy using phytochemicals with minimal side effects is trending in health care research. Phytochemicals targets complex multiple signalling events in cancer and are pleiotropic in nature. Thus, the present study was conducted to check the effectivity of curcumin analogues (Capsaicin, Chlorogenic acid, Ferulic acid, Zingerone, Gingerol) against the receptors that are expressed in breast cancer cells and prove its ethno-medicinal value by using bioinformatic tools and softwares like PDB, Patch Dock, PubChem, Chimera and My Presto. Result Out of the various curcumin analogues studied, Ferulic acid showed best binding affinity with all the breast cancer cell specific receptors (FGF, MMP9, RNRM1, TGF-beta, DHFR, VEGF and aromatase) which was confirmed through the docking studies. Conclusion The current work was a preliminary step towards screening suitable drug candidate against breast cancer using in silico methods. This information can be used further to carry out in vivo studies using selected natural analogues of curcumin as a suitable drug candidate against breast cancer saving time and cost.

Introduction: Cancer refers to a group of diseases characterized by the uncontrolled growth and spread of abnormal cells in the body. Due to its complexity, it has been hard to find an ideal medicine to treat all cancer types, although there is an urgent need for it. However, the cost of developing a new drug is high and time-consuming. In this sense, drug repurposing (DR) can hasten drug discovery by giving existing drugs new disease indications. Many computational methods have been applied to achieve DR, but just a few have succeeded. Therefore, this review aims to show in silico DR approaches and the gap between these strategies and their ultimate application in oncology.Methods: The scoping review was conducted according to the Arksey and O’Malley framework and the Joanna Briggs Institute recommendations. Relevant studies were identified through electronic searching of PubMed/MEDLINE, Embase, Scopus, and Web of Science databases, as well as the grey literature. We included peer-reviewed research articles involving in silico strategies applied to drug repurposing in oncology, published between 1 January 2003, and 31 December 2021.Results: We identified 238 studies for inclusion in the review. Most studies revealed that the United States, India, China, South Korea, and Italy are top publishers. Regarding cancer types, breast cancer, lymphomas and leukemias, lung, colorectal, and prostate cancer are the top investigated. Additionally, most studies solely used computational methods, and just a few assessed more complex scientific models. Lastly, molecular modeling, which includes molecular docking and molecular dynamics simulations, was the most frequently used method, followed by signature-, Machine Learning-, and network-based strategies.Discussion: DR is a trending opportunity but still demands extensive testing to ensure its safety and efficacy for the new indications. Finally, implementing DR can be challenging due to various factors, including lack of quality data, patient populations, cost, intellectual property issues, market considerations, and regulatory requirements. Despite all the hurdles, DR remains an exciting strategy for identifying new treatments for numerous diseases, including cancer types, and giving patients faster access to new medications.

Background: Drug discovery requires the use of hybrid technologies for the discovery of new chemical substances. One of those interesting strategies is QSAR via applying an artificial intelligence system that effectively predicts how chemical alterations can impact biological activity via in-silico. Aim: Our present study aimed to work on a trending machine learning approach with a new open-source data analysis python script for the discovery of anticancer lead via building the QSAR model by using 53 compounds of thiazole derivatives. Methods: A python script has been executed with 53 small thiazole chemicals using Google collaboratory interface. A total of 82 CDK molecular descriptors were downloaded from “chemdes” web server and used for our study. After training the model, we checked the model performance via cross-validation of the external test set. Results: The generated QSAR model afforded the ordinary least squares (OLS) regression as R2 = 0.542, F=8.773, and adjusted R2 (Q2) =0.481, std. error = 0.061, reg.coef_ developed were of, -0.00064 (PC1), -0.07753 (PC2), -0.09078 (PC3), -0.08986 (PC4), 0.05044 (PC5), and reg.intercept_ of 4.79279 developed through stats models.formula module. The performance of test set prediction was done by multiple linear regression, support vector machine, and partial least square regression classifiers of sklearn module, which generated the model score of 0.5424, 0.6422, and 0.6422, respectively. Conclusion: Hence, we conclude that the R2values(i.e. the model score) obtained using this script via three diverse algorithms were correlated well and there is not much difference between them and may be useful in the design of a similar group of thiazole derivatives as anticancer agents.