Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"
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Measuring Software Product Quality Based on Fuzzy Inference System Techniques in ISO Standard
Contrast-Enhanced Mammography in Breast Lesion Assessment: Accuracy and Surgical Impact
Background: Accurate preoperative tumor sizing is critical for optimal surgical planning in breast cancer. Contrast-enhanced mammography (CEM) has emerged as a promising modality, yet its accuracy relative to conventional imaging and pathology requires further validation. Objective: To prospectively evaluate the dimensional accuracy and reproducibility of CEM compared to mammography and ultrasound, using surgical pathology as the reference standard. Methods: A total of 205 patients with 267 breast lesions underwent preoperative CEM, mammography, and ultrasound. Tumor sizes were measured independently by two radiologists. Accuracy was assessed via mean absolute error (MAE), Pearson and Spearman correlations, and inter-reader agreement evaluated by intraclass correlation coefficient (ICC) and Gwet’s AC1. Sensitivity analyses included bootstrap confidence intervals and log-transformed data. The surgical impact of additional lesions detected by CEM was also analyzed. Results: CEM showed superior accuracy with a mean absolute error of 0.46 mm (95% CI: 0.24–0.68) compared to mammography (4.06 mm) and ultrasound (3.52 mm) (p < 0.00001). Pearson’s correlation between CEM and pathology was exceptionally high (r = 0.995; 95% CI: 0.994–0.996), with similar robustness after log transformation. Inter-reader agreement for CEM was excellent (ICC 0.93; Gwet’s AC1 ~0.96, 95% CI: 0.93–0.98). CEM detected additional lesions in 13.1% of patients, leading to altered surgical management in 6.4%. Background parenchymal enhancement was independently associated with measurement error. Conclusions: CEM provides highly accurate and reproducible tumor size estimation superior to conventional imaging modalities, with potential clinical impact through detection of additional lesions. Its ability to detect additional lesions not seen on mammography or ultrasound has direct implications for surgical decision making, with the potential to reduce reoperations and improve oncologic and cosmetic outcomes. However, high correlation values and selective patient cohorts warrant cautious interpretation. Further multicenter studies are needed to confirm these findings and define CEM’s role in clinical practice
Adaptative electrothermal activation of hybrid composites for anti-icing function
A green flexible film heater is integrated into fiber-reinforced panels to activate the anti/de-icing function through electrical power. The heater is composed of nanometric graphitic layers embedded into a polyvinyl-alcohol (PVA) thermoplastic matrix. The influence of PVA molecular weight (M.W.) on electrical conductivity and heating efficiency is investigated. For the same nanofiller percentage (50%), the electrical conductivity decreases as the M.W. of the hosting matrix increases, going from 926.0 (M.W. 30 ÷ 70 kDa) to 8.5 S/m (M.W. 146 ÷ 186 kDa). This different behavior, which also affects heating efficiency, is due to the peculiar arrangement of polymeric chains between the nanofiller layers. The M.W. of PVA sensibly affects this arrangement, even leading to the intercalation of polymer chains between graphitic layers that prevents them from arranging into a crystalline lattice, causing complete PVA amorphization. Due to the preservation of the nanometric electrical paths in the polymeric network, unlike metal wire heaters, the film heater retains its heating function after damage. A centimeter-sized perforation does not break all electrically conductive paths, leaving the heating function active. The energy required to heat the developed functional fiber-reinforced panels is significantly lower than that of traditional electrothermal systems, saving up to 88.5% of energy. A traditional repair method for accidental damage, such as the “hot bond repair”, is considered, and a modified methodology, allowing restoration of the heating function, is proposed
Gender and e-sports: from discrimination to inclusivity
This study describes the evolution in female representation in video games and investigates the reasons for discrimination in e-sports. It then proposes possible solutions for achieving a truly inclusive gaming environment. Central to this effort is the adoption of gender perspective to subvert the heteronormativity embedded in all societies and, by extension, in the gaming industry. The study also highlights the critical role of STEM education in promoting diversity and inclusivity
The Impact of Synergistic Therapy Between Colistin and Meropenem on Outcomes of Patients With Pneumonia or Bloodstream Infection Due to Carbapenem-Resistant Gram-Negative Pathogens
Functional geographically weighted regression with conformal uncertainty for seismic data
This work presents a functional geographically weighted regression model for seismic intensity measures, capturing spatially varying relationships and multiple sources
of non-stationarity, including site and event specific effects. To validate predictions, a
functional conformal inference framework is integrated, providing finite-sample, distribution free predictive bands. Applied to seismic curves, the model captures complex spatial
patterns and delivers reliable uncertainty quantification critical for seismic hazard assessment
Oltre il noto: Carlo Vanvitelli nel cantiere della reggia
Alla luce di inedite testimonianze iconografiche rinvenute in una collezione privata, si rilegge il contributo di Carlo Vanvitelli nel progetto delle fabriques di "ogni tempo e di ogni luogo" previste all'interno del giardino inglese del parco della reggia di Caserta, rivelando significative connessioni con la cultura di stampo massonico e la memoria dell'antico