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    La canzone Nuns ne poroit de mavaise raison (RS 1887, L 265.1222) e l'attribuzione a Thibaut de Champagne

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    La canzone Nuns ne poroit de mavaise raison (RS 1887, L 265.122) è considerata un testo enigmatico a causa della difficoltà di identificarne con verosimiglianza l'autore, per cui sono state avanzate diverse ipotesi, anche se secondo la vulgata disporremmo di notizie precise circa la sua composizione. Essa costituisce un invito pressante, pronunciato con una franchezza rimarchevole, ai limiti della rudezza, dall'anonimo nei confronti del re Luigi IX affinché non abbandoni la Terra Santa dopo la disfatta di Fariskur del 6 aprile dello stesso anno, in seguito alla quale il re e gran parte del suo esercito furono imprigionati dai musulmani d'Egitto. Un'analisi accurata del contenuto del testo e della sua struttura, non condizionata dalla definizione di Gaton Paris risalente al 1893 il quale la etichettò da allora senza alcun dubbio cone "la chanson composée à Acre en juin 1250", consente ora di avanzare una nuova ipotesti di attribuzione al grande troviere Thibaut de Champagne

    The Relationship Between Nutritional Status, Micronutrient Deficiency, and Disease Activity in IBD Patients: A Multicenter Cross-Sectional Study

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    Background and aim: Inflammatory bowel diseases (IBD) are chronic conditions that affect the gastrointestinal tract. The chronic inflammatory state promotes a catabolic environment that contributes to undernutrition, while mucosal damage often impairs nutrient absorption. The aim of this study is to evaluate the relationship between nutritional status-including micronutrient deficiencies-and clinical as well as laboratoristics disease activity in a cohort of patients with IBD. Methods: This is a cross-sectional study conducted across three care centers in Italy. Baseline data, clinical disease activity, and laboratory test results were collected. Micronutrient evaluation included measurements of iron, ferritin, vitamin B12, vitamin D, and folate. In addition, hemoglobin and albumin levels were assessed. Pearson correlation analysis was performed to explore the relationship between disease activity and nutritional status. Additionally, receiver operating characteristics (ROC) analysis were performed to identify patients with active diseases. Results: 110 IBD patients (40 Crohn Disease; 70 Ulcerative Colitis) were included. The serum level of Hb, iron, ferritin and vitamin D was different among the active and inactive group (p: 0.007; p: 0.001; p: 0.005; p: 0.003) while no difference was found among the other micronutrients evaluated (folic acid, vitamin B12) and albumin. Iron and vitamin D levels demonstrated the highest accuracy in the ROC analysis, with Area Under the Curve (AUC) of 0.76 (p < 0.001) and 0.68 (p = 0.013), respectively. Vitamin D and Ferritin showed the better performance (based on calprotectin levels). However, their AUC were sub-optimal (AUC 0.68; p < 0.001; AUC 0.66; p = 0.19. Conclusions: Hemoglobin, iron, ferritin, and vitamin D were associated with disease activity status. However, despite this correlation, their accuracy in discriminating between active and inactive disease appeared to be suboptimal. Folic acid, vitamin B12, and albumin showed poor concordance with disease activity status

    Multidimensional Scaling Analysis of Morphological Spike Traits in Local Wheat Genotypes from the Van Lake Basin

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    Wheat landraces are considered a valuable resource of potential phenotypic variation that could be used in germplasm improvement. Here, we examined 588 local wheat genotypes collected from farmers’ fields at 127 locations around Van Lake Basin and evaluated the morphological diversity and trait associations using Multidimensional Scaling Analysis. Spike and yield traits were measured and scored according to the UPOV and ICARDA phenotypic characterization criteria. Multidimensional Scaling Analysis divided the wheat samples into four main groups based on the number of spikelets (NOS), number of fertile spikelets (NFS), thousand-grain weight (TGW), and number of seeds per spike (NSS) and indicated a strong correlation between NOS and NFS. Furthermore, the analysis revealed that the glume and awn color of most of the genotypes was black, and they were within the locally known Karakılçık group. Only two genotypes were excluded from the Karakılçık group; No. 231 was within the Geverik local wheat group, and genotype No. 579 was found to be Tir. The Hevidik and Kirik groups had the same spike color, but the Hevidik group had spikes similar to compactum wheat, whereas the Kirik group had larger spikes. Finally, genotype No. 57 varied from all other genotypes when all the measured traits were taken into consideration. Overall, the Van Lake Basin landraces combine broad similarity with meaningful phenotypic heterogeneity shaped by local environments and traditional on-farm selection. These findings provide practical cues for conservation efforts and for the use of landraces as valuable resources in future wheat breeding programs

    Soft regression trees: A model variant and a decomposition training algorithm

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    Decision trees are widely used for classification and regression tasks in a variety of application fields due to their interpretability and good accuracy. During the past decade, growing attention has been devoted to globally optimized decision trees with deterministic or soft splitting rules at branch nodes, which are trained by optimizing the error function over all the tree parameters. In this work, we propose a new variant of soft multivariate regression trees (SRTs) where, for every input vector, the prediction is defined as the linear regression associated to a single leaf node, namely, the leaf node obtained by routing the input vector from the root along the branches with higher probability. SRTs exhibit the conditional computational property, i.e., each prediction depends on a small number of nodes (parameters), and our nonlinear optimization formulation for training them is amenable to decomposition. After showing a universal approximation result for SRTs, we present a decomposition training algorithm including a clustering-based initialization procedure and a heuristic for rerouting the input vectors along the tree. Under mild assumptions, we establish asymptotic convergence guarantees. Experiments on 15 well-known datasets indicate that our SRTs and decomposition algorithm yield higher accuracy and robustness compared with traditional soft regression trees trained using the nonlinear optimization formulation of Blanquero et al. (2021), and a significant reduction in training times as well as a slightly better average accuracy compared with the mixed-integer optimization approach of Bertsimas and Dunn (2019). We also report a comparison with the Random Forest ensemble method

    Il problema del metodo in matematica e il problema di matematica come metodo

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    Una delle principali esigenze che i docenti esprimono durante i percorsi di formazione e discussione tra colleghi è la condivisione di metodi da utilizzare nella pratica didattica. Questo contributo si propone di far luce sul significato del termine metodoe sul suo utilizzo in un contesto educativo. A partire dal valore semantico della parola metodo, tratteremo della sua evoluzione nel corso della storia della ricerca educativa, attraverso un’attenta riflessione riguardo ad aspetti che non possono essere sottovalutati: adottare un metodo all’interno di un contesto educativo non significa seguire un modello, ma scegliere delle strategie, degli strumenti che rimandino ad obiettivi e principi coerenti con una base teorica solida e comprovata. I risultati degli studi di ricerca in Didattica della Matematica mostrano quanto non sia tanto il metodo a fare la differenza, rispetto all’importanza di promuovere un ambiente di apprendimento produttivo. Attraverso una breve analisi di una sperimentazione condottain una scuola primaria, metteremo in luce quanto l’approccio per problemi e la predisposizione di discussioni matematiche, sembrino possedere i requisiti che soddisfano la promozione di tale ambiente

    Tracce dellacasiane in un sonetto di Annibal Caro

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    Indicator Engineering on a Cloud-Edge GIS platform assisting Post-Seismic Reconstruction and Rehabilitation

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    In every sphere, for policy-makers, geography increasingly proves to be a key discipline for understanding and knowing the territory, making informed decisions, and taking consequent actions for the welfare of citizens. Spatial planning for post-seismic reconstruction emphasizes safety and memories, and is closely linked to recovery plans. This paper focuses on the case of 56 small Italian municipalities that were severely damaged by a devastating earthquake in 2009. An innovative ICT platform for services on spatial databases has been designed and developed to support the activities of a special Public Administration established ad hoc to guide the post-seismic reconstruction process in Italy, for which monitoring the status of works is a milestone, as well as having a clear and official informative tool. With concurrent and collaborative access to georeferenced data, this is a hybrid cloud/edge/on-premise architecture that leverages the capabilities of GIS, new disruptive technologies, indicator engineering, and database performance optimization. Its implementation and application are presented so that it can also be used in other (similar) contexts, with any adaptations. In addition, the proposed solution can be useful for both short-term and long-term developments, such as analysis of (cyber-)security scenarios, integration with 5G networks, and provision of public smart utilities

    Ricordare il “futuro”. Per una pedagogia dei “senza voce”

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    Forgetting and oblivion are human and social dimensions often activated— consciously or unconsciously—in the interplay between self-protection and the reconstruction of identity, both individual and collective. Such processes serve to preserve continuity, balance, and coherence across the life course, which seldom extends beyond the temporal horizon of one’s own existence, or at most that of one’s children and grandchildren. Yet, when these dimensions are shaped by deliberate intention, they may take on highly problematic and compromising forms. This is evident in the systematic distraction, underestimation, and active disregard of the “futures”. No majority group has been more systematically erased, colonized, and exploited by the neoliberal politico-economic logic of contemporaneity than these future generations. No majority group has been more silenced, nor does any appear more fragile and exposed to the denial of recognition and of basic rights—such as life, health, and a sustainable environment. Any commitment to a pedagogy that aspires to be a “pedagogy of the future” must therefore begin with a timely, systematic, and necessarily difficult exercise of self-critique and meta-critique. This must be grounded in an active recovery of the past and of memory—an endeavor made all the more complex by the absence of direct empirical referents, yet crucial precisely because the fate of the weakest among the weak depends on the theoretical, methodological, ethical, and practical choices made today. These “weakest” can be counted, in material terms, as billions of men and women

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