Archivio Istituzionale della Ricerca- Università degli Studi di Foggia
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Systemic bottom-up approach to Project Management for a sustainable Project Governance
No full textThis study analyses the dynamic and complex structure of megaprojects using a bottom-up approach that starts from the individual Work Packages that comprise the infrastructural megaproject, providing a first step toward analysing the complexity of the entire project framework, including labour, supply and prod-uct markets, governance, licensing, etc. The study reviews the planning and management methodology, with a focus on the workforce needed to complete the work within the expected time and cost. In this study, the workforce patterns of a real infrastructure project are analysed using the System Dynamics (SD) approach. The underlying dynamic hypothesis has led to the identification of a Stock-and-Flow model of the construction process. The analysis of field workforce patterns was conducted to understand lessons learned, specifically why the actual performance differed from the planned performance in terms of time and cost. Moreover, the study provides a general modelling method for the simulation of the construction process of any industrial infrastructure. Such a modelling method reproduces the physics of the construction process, including mobilization and demobiliza-tion of the workforce. It leverages feedback-driven recovery actions for project control. If applied to new projects, the modelling method can allow the Project Manager to develop the project’s risk analysis and to be assisted in keeping the performance of the assembly resources close to the planned level during project execution. The proposed method could improve returns from infrastructure construction investments due to better planning and resource control. This improves their use, reducing delays and litigation
A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation
No full textAdapting or designing a system which operates on personal data in EU is impacted by the privacy-by-design and privacy-by-default principles because of the prescriptions of the GDPR. In this paper we propose an approach to decision making which is based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The approach is applied to a GDPR system compliance design process, based on a case study about system performance evaluation by means of queuing networks, but is absolutely general with respect to analogous problems, in which cost issues should be balanced with technical performances and risk exposure
Dynamic driving pressure and clinical outcomes in mechanically ventilated patients with acute brain injury: a secondary analysis of the VENTIBRAIN study*
No full textPurpose: To investigate the association between dynamic driving pressure (ΔPdyn) and mortality in mechanically ventilated patients with acute brain injury (ABI), and to evaluate whether neurological and pulmonary injury severity modify this relationship. Methods: This prespecified secondary analysis of the VENTIBRAIN prospective study (NCT04459884) included mechanically ventilated adult patients with ABI (traumatic brain injury, subarachnoid hemorrhage, intracranial hemorrhage, or ischemic stroke). ΔPdyn was calculated daily over the first 14 days as peak inspiratory pressure minus positive end-expiratory pressure (PEEP). Bayesian joint models evaluated the time-varying association between ΔPdyn and mortality at ICU discharge, hospital discharge, and 6 months. Secondary analyses evaluated effect modification by baseline Glasgow Coma Scale (GCS), PaO2/FiO2, and ABI subtype. Results: Among 1,555 patients (median age 59 years, 34.5% female), higher time-varying ΔPdyn was associated with increased ICU mortality (hazard ratio [HR], 1.057 per daily 1cmH2O; 95% credible interval, 1.037–1.078; posterior probability of HR > 1, 99.9%). Findings were consistent across all ABI subtypes and were similar for static ΔP (plateau pressure minus PEEP). The association was strongest in patients with severe ABI (GCS ≤ 8) and severe hypoxemia (PaO2/FiO2 ≤ 100). Results were robust across all outcome timepoints and multiple sensitivity analyses. Conclusion: Higher time-varying ΔPdyn was associated with increased mortality in this cohort of patients with ABI. Neurological injury severity independently modified the harm from ΔPdyn with a magnitude comparable to severe hypoxemia. Measurement of ΔPdyn may aid risk stratification and ventilation strategies in ABI; future trials should evaluate the effect of reducing ΔPdyn in this population
Effect of extra virgin olive oil composition on emulsion stability produced by ultrasound technology
No full textBackground The growing demand for nutrient-rich food emulsions requires an optimised emulsification process to enhance stability and functionality. In this paper, the effects of ultrasound parameters and oil composition on emulsion behaviour were analysed. Four monovarietal extra virgin olive oils (A07, Arbequina, Peranzana, Coratina) and sunflower seed oil (control) were selected to prepare emulsion samples by ultrasonication treatment (different pulse duty cycles and amplitudes) and mono- and diglycerides of fatty acids as emulsifier (70 g kg-1).Results Good energy-efficient conditions for emulsions (0.6 s pulse duty cycle, 90 mu m amplitude, 150 s treatment time, 4384 J energy) were developed, yielding water-in-oil emulsions (conductivity: 0 mu S; solubility test). Stability and microstructure depended on extra virgin olive oil (EVOO) varieties. Peranzana EVOO emulsions resulted in the most stable, exhibiting a monomodal droplet distribution (76% less than 100 nm), no creaming and a high value of consistency index (35.50 Pa s). Peranzana EVOO thinning was attributed to the synergy between abundant tocopherols and water-soluble polyphenols. Microstructure evidenced fat aggregates for monodisperse Peranzana EVOO emulsion and water droplets with a spherical shape. EVOO's fatty acid profile had a limited influence on emulsion behaviour.Conclusion Oil selection is a key factor. In fact, Peranzana EVOO, with a balanced antioxidant profile and a monomodal microstructure, could be a suitable option for preparing stable, functional emulsions. Water- and oil-soluble dual-phase antioxidants improve interfacial stability. The research enables consideration of ultrasound as a sustainable tool for emulsion design, particularly for determining the optimal parameters and oil chemical composition for olive varieties. (c) 2026 Society of Chemical Industry
Purpuric pityriasis rosea in patients with anorexia nervosa
No full textPityriasis rosea (PR) is an exanthematous disease associated with the endogenous systemic reactivation of human herpesvirus (HHV)-6 and/or HHV-7. Variants of PR characterized by atypical lesion morphology, eruption course, and severe symptoms have already been described, but their prevalence is probably underestimated. We report herein two patients suffering from anorexia nervosa (AN) who developed a very rare form of purpuric PR. So far, no cases of PR in AN patients have been reported in the literature
Study of printing parameters on part performance in foamy TPU using material extrusion technology
No full textRecent advances in Additive Manufacturing, particularly Material Extrusion (MEX), expand foam thermoplastic polyurethane's use in medical and fashion applications. Studies and applications, still in the early stages, require further development. This work investigates how the properties of Foam TPU change with print parameters such as Extrusion Temperature (ET) and Flow Rate (FR). Cylindrical compression test specimens were printed using MEX technology by varying three levels of each process parameter. After, compressive strength, density and aesthetic aspect were analyzed. The result showed that increasing ET and FR, the specimens density increased while compression strength decreased. Using low values of ET and FR, the aesthetic aspect improved, with a reduction of superficial mistakes and flaws
Reconciling Clinical and Molecular Heterogeneity in Metastatic Castration-resistant Prostate Cancer: The Promise of Integrated Prognostic Models
No full textSmall-World Networks, Dynamics and Proximity in Investment Decisions
No full textUsing deal-level micro data from the Dealroom database, we construct a dynamic co-investment syndication network to examine the influence of cultural proximity and geospatial proximity between investors and start-ups, as well as the network position of global VC firms on investment decisions in European-based start-ups. By applying a linear probability regression model with high-dimensional fixed effects over the period 2015-2022, we confirm that both cultural and spatial proximity significantly facilitate VC investment. Moreover, our analysis reveals that a prominent network position — characterized by how well-connected (degree centrality) and how influential (Katz centrality) within the co-investment network— substantially enhances VC investments on account of the facilitated sharing of information, contacts, and resources among investors.
Furthermore, our findings reveal that small-world networks, characterized by high clustering coefficients, facilitate investments in distant start-ups, helping to overcome spatial constraints—an aspect largely overlooked in the literature. Small-world syndication networks foster trust among members, complementing each other through differentiation and specialization in industrial knowledge and local markets, potentially altering risk-averse behaviour and enabling investments that transcend geographical boundaries