Archivio Istituzionale della Ricerca- Università degli Studi di Foggia
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    Hybrid learning spaces and inclusive education: an exploratory study on augmented learning environments and virtual worlds in dada schools.

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    Questo lavoro di ricerca esplorativa analizza l’uso di mondi virtuali e pareti didattiche ibride in una scuola DADA, evidenziando come il Phygital Learning favorisca inclusione, motivazione e sviluppo di competenze digitali e trasversali. La progettazione partecipata degli spazi educativi mostra l’efficacia di ambienti immersivi orientati al benessere, secondo il framework UDL.This exploratory research paper analyzes the use of virtual worlds and hybrid learning walls in a DADA school, highlighting how Phygital Learning fosters inclusion, motivation and the development of digital and soft skills. Participatory design of educational spaces shows the effectiveness of wellness-oriented immersive environments, according to the UDL framework

    Lactoferrin Attenuates Pro-Inflammatory Response and Promotes the Conversion into Neuronal Lineages in the Astrocytes

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    Neurodegenerative diseases are characterized by progressive loss of neurons and persistent inflammation. Neurons are terminally differentiated cells, and lost neurons cannot be replaced since neurogenesis is restricted to only two neurogenic niches in the adult brain, whose neurogenic potential decreases with age. In this regard, the astrocytes reprogramming into neurons may represent a promising strategy for restoring the lost neurons and rebuilding neural circuits. To date, many anti-inflammatory agents have been shown to reduce neuroinflammation; however, their potential to restore neuronal loss was poorly investigated. This study investigates the anti-inflammatory effects of lactoferrin on DI-TNC1 astrocyte cell line and its ability to induce astrocyte reprogramming in a context of sustained inflammation. For this purpose, astrocytes were pre-treated with lactoferrin (4 μg/mL) for 24 h, then with lipopolysaccharide (LPS) (400 ng/mL), and examined 2, 9 and 16 days from treatment. The results demonstrate that lactoferrin attenuates astrocyte reactivity by reducing Toll-like receptor 4 (TLR4), Glial fibrillary acidic protein (GFAP) and IL-6 expression, as well as by upregulating Interleukin-10 (IL-10) cytokine and NRF2 expression. Moreover, lactoferrin promotes the reprogramming of reactive astrocytes into proliferative neuroblasts by inducing the overexpression of the Sex determining region Y/SRY-box 2 (SOX2) reprogramming transcription factor. Overall, this study highlights the potential effects of lactoferrin to attenuate neuroinflammation and improve neurogenesis, suggesting a future strategy for the treatment of neurodegenerative disorders

    Bruxelles Consensus. Integrazione europea, condizionalità neoliberale e riforme strutturali

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    La ricerca condotta esplora i legami intercorrenti tra diritto pubblico ed economia all’interno dell’Unione europea sottoponendo ad analisi critica il dispositivo giuridico che più di tutti sembra prestarsi a far luce sul tema, cioè la condizionalità. Il primo capitolo è dedicato all’esame della lotta ingaggiata in Europa a partire dalla conclusione della Seconda guerra mondiale tra i due opposti modelli di costituzionalismo, quello democratico-sociale e quello neo(-ordo-)liberale, che hanno dato vita a quello che nel presente lavoro è indicato come il “campo di battaglia costituzionale europeo”. Il secondo capitolo mira a ricostruire in chiave storico-diacronica e con approccio comparatistico come l’istituto della condizionalità è stato declinato nell’ambito delle dinamiche euro- unitarie e quello che, in dottrina, è stato suggestivamente ribattezzato il “mercato delle riforme” a cui, tramite questo strumento, l’Unione europea pare aver messo capo, strutturandosi in una federazione hayekiana. Il terzo ed ultimo capitolo ha invece ad oggetto le più importanti misure varate dalle istituzioni europee per far fronte alla pandemia, la cui disamina punta ad accertare se nel corso degli ultimi anni è stata effettivamente predisposta una “nuova” nuova governance economica europea o se, al contrario, l’Unione europea è rimasta fedele alle soluzioni sperimentate in passato. Infine, nelle conclusioni si ragiona in una prospettiva de iure condendo, formulando due diverse proposte, una più ambiziosa, ovverosia la trasformazione dell’Unione europea in una federazione keynesiana, l’altra più modesta, cioè la sua “decostituzionalizzazione”, per superare l’orizzonte di austerità permanente a cui il processo di integrazione sovranazionale pare averci collettivamente destinato

    The prognostic role of video head-impulse test in the clinical evaluation of chronic vestibular damage: A brief case series

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    Introduction: The video Head Impulse Test (vHIT) is a valid tool in identifying acute vestibular damage (AVD) and cerebellar vertigo syndromes, but a diagnostic gap remains in identifying those patients who experience persistence of chronic vestibular symptoms. The aim of this brief study was to investigate the ability of vHIT combined with the Italian Dizziness Handicap Inventory (DHI) score to identify AVD patients who develop chronic vestibular deficiency. Case Series: The mean age of the 18 patients enrolled was 56 years (SD ± 12), and among them 10 (55.5%) were males. Improved gain was found in one-third of the cases (6, 33.3%); in addition, we observed that the vHIT 60 ms gain could predict the DHI value at follow-up (p = 0.007). Furthermore, the distribution of Overt and Covert saccades at follow-up between the two iDHI groups was significantly different (p = 0.025), with a greater number of patients without any type of corrective saccade in the low iDHI group. Furthermore, group 1 patients were found to have a significantly higher mean age compared to those of group 0 (p = 0.015), along with a lower vHIT gain at 60 ms at final follow-up (p = 0.062). Conclusions: These results of our study showed that the vHIT 60 ms gain could predict the iDHI score, but the width and latency of the saccades were not correlated with iDHI at follow-up. In addition, patients with low iDHI score had not corrective saccades, while those with high iDHI score were significantly older than those with low iDHI

    CDK4/6 Inhibitors in Patients Aged 80 and Older with HR+/HER2− Metastatic Breast Cancer: A Real-World Multicenter Study

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    : Background: Older adults aged ≥80 with HR+/HER2- metastatic breast cancer (MBC) are often underrepresented in clinical trials, leaving clinicians with limited data to guide treatment decisions. Given the increasing prevalence of this age group, real-world evidence is crucial to inform therapeutic strategies. Methods: We performed a multicenter retrospective study across seven Italian oncology units, focusing on patients aged 80 or above who received CDK4/6 inhibitors in combination with endocrine therapy between January 2020 and May 2024. Baseline characteristics, treatment details, and adverse events were recorded. Primary endpoints were progression-free survival (PFS) and overall survival (OS); toxicity was assessed using CTCAE v5.0. Follow-up was estimated using the reverse Kaplan-Meier method. Results: Eighty patients were included, with a median age of 83. Over half had visceral metastases, and 41.0% were frail (G8 ≤ 14). Approximately 44.0% of patients started treatment at a reduced dose. The median PFS was 13 months (95.0% CI 9.3-18.0), and the median OS was 15 months (95.0% CI 11.8-18.2). Hematologic toxicity was frequent, with neutropenia occurring in 58.8% (25.0% grade ≥ 3) and anemia in 12.5% (2.5% grade ≥ 3). Asthenia was reported in 16.2% (5.0% grade ≥ 3). Diarrhea occurred in 3.8% overall, mainly in patients treated with abemaciclib (42.9% any grade; 14.3% grade ≥ 3). ALT/AST elevations were observed in 8.8% (1.2% grade ≥ 3), and QTc prolongation in 2.5% (1.2% grade ≥ 3, all with ribociclib). Grade ≥ 3 events were uncommon and generally manageable. Conclusions: CDK4/6 inhibitor-based therapy is feasible in patients aged ≥80 years, with outcomes and tolerability comparable to those observed in younger elderly. Our results highlight the importance of individualized treatment strategies in this oldest-old population

    Analysis of the Development of Gender Stereotypes and Sexist Attitudes Within a Group of Italian High School Students and Teachers: A Grounded Theory Investigation

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    Gender stereotypes and sexist attitudes continue to persist in educational settings, with significant implications for students' achievement and well-being. This study aimed to investigate the development of gender stereotypes and sexist attitudes among Italian high school students and trainee teachers. A series of focus groups were conducted with a group of Italian school students and trainee teachers to uncover the complex interplay of individual, interpersonal, institutional, and societal factors that contribute to the formation and perpetuation of these biases. Analysis was conducted using a grounded theory approach. The findings reveal a nuanced and multifaceted understanding of the issue, highlighting the critical role of teacher attitudes, peer influence, and broader cultural norms in shaping students' perceptions and behaviors. This study offers insights for educators, policymakers, and researchers seeking to address gender inequities in education and promote more inclusive and equitable learning environments

    Biomarker profiles that differentiate type-1 and type 2 myocardial infarction

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    Background: It is crucial to distinguish type-1 myocardial infarction (T1MI) from type-2 myocardial infarction (T2MI) at admission and during hospitalization to avoid unnecessary invasive exams and inappropriate admissions to the acute cardiac care unit. Objectives: The purpose of the study was to define a simple profile derived from commonly used biomarkers to differentiate T1MI from T2MI. Methods: We prospectively enrolled in an observational study 213 iconsecutive patients with a provisional diagnosis of non-ST-elevation acute myocardial infarction (NSTEMI) admitted to the Cardiology Department. A final diagnosis of T1MI, T2MI, and non-ischemic acute myocardial injury (NAMI) was given based on clinical and instrumental findings. We assessed high-sensitivity Troponin I (hs-cTnI), Creatine Kinase MB (CK-MB), C-reactive protein (CRP), procalcitonin (PCT), N-Terminal prohormone of brain natriuretic peptide (NTproBNP). Results: A final diagnosis of T1MI was assigned to 77 patients, T2MI to 60 patients, and NAMI to 76 patients; mean age was not significantly different between groups (73 vs. 71 years), female were more prevalent in the T2MI/NAMI group (53 % vs. 34 %, p < 0.01). Hs-cTnI peak/upper limit of normal (ULN) (559 ± 770 vs. 286 ± 429; p = 0.04), hs-cTnI peak/CRP ratio (114 ± 337 vs. 83 ± 430; p < 0.001), hs-cTnI peak/PCT ratio (12,592 ± 21,467 vs. 4,609 ± 17,284; p < 0.001), and hs-cTnI peak/NTproBNP ratio (0.7 ± 1.6 vs. 0.3 ± 0.6; p < 0.01) differentiated T1MI from T2MI Hs-cTnI peak/ULN (559 ± 770 vs. 271 ± 412; p < 0.01), hs-cTnI peak/PCT ratio (12,592 ± 21,468 vs. 3,570 ± 12,469; p < 0.001), hs-cTnI peak/NTproBNP ratio (0.7 ± 1.6 vs. 0.3 ± 1.3; p < 0.001) and hs-cTnI peak/CRP (114 ± 337 vs. 48 ± 288; p < 0.001) differentiated T1MI from T2MI + NAMI. Hs-cTnI peak/PCT ratio was a predictor of T1MI, a multivariable logistic regression analysis (OR 1.03, 95 % CI 1.01–1.06, p < 0.05) with an accuracy of 0.704 (95 % CI 0.626–0.782, p < 0.001). No significant differences between T2MI and NAMI were detected. Conclusions: Admission biomarker profile may differentiate T1MI from T2MI in patients admitted for NSTEMI

    Transformer or Autoencoder? Who is the ultimate adversary for attack detectors?

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    In recent years, Machine Learning (ML) approaches have been widely adopted for computer security tasks, including network intrusion detection and malware detection. However, linear and non-linear ML-based classifiers are vulnerable to adversarial examples created to deceive the classifiers. Generative Adversarial Networks (GAN) are architectures based on neural networks capable of successfully producing adversarial samples. In this study, we compare the performance of two GAN architectures based on either Transformer or Autoencoder networks in two distinct domains: Network Intrusion Detection Systems (NIDS) and mobile malware detection. We aim to evaluate their performance in terms of both effectiveness (i.e., the ability of the GAN-generated samples to reduce the detection rate of the targeted classifier) and efficiency (i.e., the capability of achieving the desired goal with fewer training epochs). Our findings reveal that the Transformer-based GAN outperforms the Autoencoder-based GAN, generating high-quality adversarial samples able to deceive both ML-based NIDS and ML-based malware detectors. Furthermore, in both scenarios, the Transformer-based architecture achieves a high deception efficacy through a reduced number of training epochs. This research sheds light on the relevance of GAN architectures, particularly Transformer-based models, and the need to consider samples produced by this architecture for improving the robustness of ML-based security solutions

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