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A Rare Combination of High‐Affinity Hemoglobin, Non‐Transfusion‐Dependent Thalassemia (Αlpha‐Triplication and Codon 39 Mutation), and Hereditary Stomatocytosis
Limit points for the spectral radii of unbalanced signed graphs
The spectral radius of a signed graph Γ = (G,σ) is the largest absolute value of its
adjacency eigenvalues. In this paper we prove that sequences of unbalanced signed graphs suffice to retrieve all the possible limit points for the spectral radii of signed graphs. In order to achieve this result it turns out to be decisive a revisiting of the celebrated Shearer’s construction of the sequence of simple
(unsigned) graphs whose index tends to a fixed real number a ⩾√︁(2 + √5). Additionally, our technique helps to detect infinite pairs of non-isomorphic cospectral pairs with unbalanced quadrangles
Autonomia differenziata e ZES Unica: modelli di sviluppo compatibili o contrastanti?
Any scholar who attempts to analyze the regional development policies recently adopted in Italy cannot fail to note a huge, substantial contradiction: on the one hand, the aim is correctly to unify and simplify interventions in favor of the economically weakest areas of the country through the suppression of the eight pre-existing Special Economic Zones and the creation of a single large SEZ for the South; on the other hand, there is an insistence on continuing the implementation of Law No. 86/2024 on differentiated autonomy (the so-called Calderoli Law), even after the massive demolition intervention of the Constitutional Court (which, in addition to raising several objections to the text of the law, rejected the proposal for an abrogative referendum presented against it), with the risk of further fragmenting, rather than unifying and coordinating, the public development policies of this country
Least squares with equality constraints extreme learning machines for the resolution of PDEs
In this paper, we investigate the use of single hidden-layer neural networks as a family of ansatz functions for the resolution of partial differential equations (PDEs). In particular, we train the network via Extreme Learning Machines (ELMs) on the residual of the equation collocated on -eventually randomly chosen- points. Because the approximation is done directly in the formulation, such a method falls into the framework of Physically Informed Neural Networks (PINNs) and has been named PIELM. Since its first introduction, the method has been refined variously, and one successful variant is the Extreme Theory of Functional Connections (XTFC). However, XTFC strongly takes advantage of the description of the domain as a tensor product. Our aim is to extend XTFC to domains with general shapes. The novelty of the procedure proposed in the present paper is related to the treatment of boundary conditions via constrained imposition, so that our method is named Least Squares with Equality constraints ELM (LSE-ELM). An in-depth analysis and comparison with the cited methods is performed, again with the analysis of the convergence of the method in various scenarios. We show the efficiency of the procedure both in terms of computational cost and in terms of overall accuracy
Serum HDL subfractions are impaired by COVID-19 vaccine in patients with thymic epithelial tumors
: Patients with thymic epithelial tumors (TET), who have a high risk of developing immunological disorders such as immunodeficiency and autoimmunity, were included among frail patients eligible for the COVID-19 vaccinal program. We previously found an increase of serum biomarkers of inflammation in 25 of 44 (56,8%) TET patients after the second dose (T2) of mRNA vaccine (BNT162b2 from Pfizer-BioNTech), although none developed immune-related complications at this time point. In this study we have investigated the metabolic process of high-density lipoproteins (HDL) that are among the main players in inflammatory and immune modulation. To verify the impact of the vaccine on HDL metabolism in TET patients, we prospectively evaluated serum HDL and HDL subfractions at baseline and T2. Among the 45 TET patients, we observed two different trends: 24 ones (53.3%, subgroup 1) showed a significant decrease of serum small HDL (p < 0.0001) class and/or HDL 10 subfraction (HDL 10) (p < 0.0001) at T2 as compared to baseline values (T0), the other 21 patients (subgroup 2) did not show significant variations. Serum values of small HDL class in subgroup 1 at T2 were inversely correlated with serum interleukin (IL)-6, activated T lymphocytes and regulatory T cells. These findings suggested that the COVID-19 vaccine-related inflammation induces the HDL remodeling with a reduction of anti-inflammatory small HDL class. Further studies need to clarify why the vaccine causes inflammation in about 50% of TET patients and whether such response is peculiar to COVID-19 vaccine or if it would be induced also by other mRNA vaccines
Heterogeneity in Histological Evaluation of Microscopic Colitis in Randomized Clinical Trials: An Umbrella Review
Background The diagnosis of microscopic colitis (MC) is based on endoscopic biopsy with histological assessment. Histological outcomes (remission, response or improvement) are important treatment targets in clinical trials. Although a substantial body of research on MC has been published in recent years, no standardized criteria currently exist for its histological outcomes. We sought to review and summarize the histological evaluation of MC in published systematic reviews (SRs) assessing the efficacy of interventions and to examine the heterogeneity in histological evaluation among the randomized controlled trials (RCTs) included in those SRs. Methods We conducted an umbrella review (ie, an overview of systematic reviews) of published SRs. A literature search of the Cochrane Database of Systematic Reviews, MEDLINE, and Embase was performed up to May 2025. Definitions of histological evaluation and monitoring following interventions were extracted and summarized from the published SRs and the RCTs included within them. Results Fourteen SRs with meta-Analyses that focused on interventions were included. Nineteen RCTs were included in these SRs. Of them, 12 fully published RCTs reported histological outcome data and met our inclusion criteria. The definitions for histological outcomes varied between RCTs but were generally based on reduction in lamina propria cellularity, intraepithelial lymphocytes, or collagen band thickness. Conclusions This umbrella review highlights the heterogeneity in the definitions of histological outcomes in MC RCTs. The summarized evidence will support ongoing efforts to develop consensus definitions for histological outcomes in order to facilitate clinical trials of medical therapies for MC
Extracellular Matrix Origin Directs Morphogenesis and Gene Regulation in Bioengineered Human Skin
The cellular microenvironment plays a pivotal role in directing tissue development, repair, and homeostasis through a complex interplay of biochemical and mechanical cues. The extracellular matrix (ECM) serves as a key instructive component, guiding transcriptional programs that determine cell fate, function, and identity. In this study, we investigated the impact of microenvironmental context on the biofabrication of human skin equivalents, comparing constructs based on endogenous versus exogenous ECMs. Specifically, we compared collagen-based full-thickness skin models with full-thickness skin models based on a fibroblast-assembled endogenous ECM. Our RNA sequencing analyses reveal that ECM origin profoundly influences transcriptional trajectories, highlighting the importance of a native-like microenvironment in supporting appropriate gene expression profiles and morphogenetic processes. Notably, skin equivalents featuring endogenously produced ECMs exhibit physiologically relevant architecture, including a well-organized dermal-epidermal junction (DEJ), whereas constructs based on exogenous matrices, such as animal-derived collagen, display abnormal epithelial expansion and fail to replicate key structural features. These findings underscore the necessity of recapitulating the native ECM to achieve functional tissue constructs in vitro and raise critical considerations regarding scaffold choice in regenerative medicine and tissue engineering applications
Contextualising Indicators for SDG 11: The GLOSSA Approach to Impact Assessment of Local Plans
Per una architettura umana
«L'architettura non è scienza. Rimane il grande processo sintetico che armonizza la vita con il mondo materiale». (Alvar Aalto)
Per un'architettura umana è un volume destinato a studentesse e studenti di architettura: un testo che affronta i temi fondamentali della disciplina — lo studio, la conoscenza dei luoghi, il fare spazio, la costruzione — in relazione alla evoluzione degli strumenti e dei processi progettuali caratteristici del tempo attuale.
In questo quadro si inserisce anche un confronto critico
con l'Intelligenza Artificiale, intesa non come alternativa
al pensiero progettuale ma come strumento da utilizzare consapevolmente per governare i processi. Il libro invita a interrogarsi sui rischi di una delega acritica alla tecnologia e sulla necessità di preservare il rodia culturale, etico e creativo dell'architetto.
Non è un manifesto né un manuale, ma un invito al confronto tra generazioni, un tentativo di raffermare il valore dell'esperienza, della responsabilità e
dell'immaginazione come fondamenti irrinunciabili dell'abitare contemporaneo