The Processual Method in the Analysis of the Anthropic Space and in the Architectural and Urban Project

The suggested reproduction that we intend to explicate shows, in short, the results of a project research carried out within the framework of the Architectural Design courses in the Department of the Polytechnic of Bari dICAR, assigned to the writer, based on a theoretical view that is based on the method of “operating history” as a instrument for interpretation of a built and pre-vision of transformation of reality in relation to the cogito projection idea. It is based on the fundamental concepts of the architectural organism and the building type. Such methodological conception refers to a current of thought that studies the architectural and urban events in their essence of organisms made up of interdependent parts and in continuous transformation, processual examined with reference to phenomenal husserlian array that allows you to understand their concrete nature of variable structures not “a priori “existing beyond the experience of the becoming. Only for illustrative purposes and as proof of the usefulness and indivisibility of the concepts in question, some didactic examples are proposed that explain the method used. Each sample shown is intended as a result of a process of "re-design" that considers the present city and, therefore the one which modification is proposed, as provisional terms of ongoing "transformation" processes where, as always in the history of cities, urban trails, housing, specialized construction are linked

The Legitimacy of a Project: the Varrese Tomb between Urban Landscape and Preservative Instances

The of the cultural offer, represented by the chance to see in their own original location, cultural heritage otherwise intended for cultural containers of different geographical areas, has dictated during these recent decades the cultural policy of reconstruction in an exhibition project, fulfilled in the city of Canosa (BT), of the “corredo gentilizio” belonging to the Varrese Tomb that was dismembered following its discover in 1912 and where its evidences have became part of the National Archaeological Museum of Taranto and the Bari Provincial Museum collections. Within the set-up experience of Palazzo Sinesi, the first founding elements of a more ambitious valorization plan have been organized (exhibition "The Varrese Tomb: from old excavations to reconstruction of the archaeological landscape"). The evaluative dynamics of a communication and promotion plan for the city of Canosa have been enforced by the identification of a protection and appreciation project of the Varrese hypogeum, in the past, object of excavations campaigns that stressed the architectural structure of the Tomb divided into several rooms, the compliance of the hypogeum to complex build history, the need for monumentalizing of the system that invested the underground spaces and areas close to them. The cover design of the funeral system has achieved a milestone, as planning application within a heavily degraded context, for the purposes of reconstruction of archeological landscapes in Daunia epoch. The structure, achieved only partially, does not deliberately close itself towards outdoor areas and has a significant importance in the prospects, in order to avoid the idea of a minimization of unjustified and archaeological “ingabbiatura”. The search for appropriate solutions in the field of enhancement of the archeological heritage in Canosa has time and ways of implementation l certainly not suiting to optimal working schedule but it appears important to the definition of a "design model" which safeguards the archeological heritage fragmented by the long history of its research

Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics

Survival analysis is a fundamental tool in medicine, modeling the time until an event of interest occurs in a population. However, in real-world applications, survival data are often incomplete, censored, distributed, and confidential, especially in healthcare settings where privacy is critical. The scarcity of data can severely limit the scalability of survival models to distributed applications that rely on large data pools. Federated learning is a promising technique that enables machine learning models to be trained on multiple datasets without compromising user privacy, making it particularly well-suited for addressing the challenges of survival data and large-scale survival applications. Despite significant developments in federated learning for classification and regression, many directions remain unexplored in the context of survival analysis. In this work, we propose an extension of the Federated Survival Forest algorithm, called FedSurF++. This federated ensemble method constructs random survival forests in heterogeneous federations. Specifically, we investigate several new tree sampling methods from client forests and compare the results with state-of-the-art survival models based on neural networks. The key advantage of FedSurF++ is its ability to achieve comparable performance to existing methods while requiring only a single communication round to complete. The extensive empirical investigation results in a significant improvement from the algorithmic and privacy preservation perspectives, making the original FedSurF algorithm more efficient, robust, and private. We also present results on two real-world datasets demonstrating the success of FedSurF++ in real-world healthcare studies. Our results underscore the potential of FedSurF++ to improve the scalability and effectiveness of survival analysis in distributed settings while preserving user privacy

Unusual and voluminous pulmonary trunk aneurysm

n/

An Evaluation of Researchers' Migration Patterns in Europe using Digital Trace Data

The comprehension of the mechanisms behind the mobility of skilled workers is of paramount importance for policy making. The lacking nature of official measurements motivates the use of digital trace data extracted from ORCID public records. We use such data to investigate European regions, studied at NUTS2 level, over the time horizon of 2009 to 2020. We present a novel perspective where regions roles are dictated by the overall activity of the research community, contradicting the common brain drain interpretation of the phenomenon. We find that a high mobility is usually correlated with strong university prestige, high magnitude of investments and an overall good schooling level in a region

Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance

Personalized medicine is the future of medical practice. In oncology, tumor heterogeneity assessment represents a pivotal step for effective treatment planning and prognosis prediction. Despite new procedures for DNA sequencing and analysis, non-invasive methods for tumor characterization are needed to impact on daily routine. On purpose, imaging texture analysis is rapidly scaling, holding the promise to surrogate histopathological assessment of tumor lesions. In this work, we propose a tree-based representation strategy for describing intra-tumor heterogeneity of patients affected by metastatic cancer. We leverage radiomics information extracted from PET/CT imaging and we provide an exhaustive and easily readable summary of the disease spreading. We exploit this novel patient representation to perform cancer subtyping according to hierarchical clustering technique. To this purpose, a new heterogeneity-based distance between trees is defined and applied to a case study of prostate cancer. Clusters interpretation is explored in terms of concordance with severity status, tumor burden and biological characteristics. Results are promising, as the proposed method outperforms current literature approaches. Ultimately, the proposed method draws a general analysis framework that would allow to extract knowledge from daily acquired imaging data of patients and provide insights for effective treatment planning

Statin therapy blunts inflammatory activation and improves prognosis and left ventricular performance assessed by Tissue Doppler Imaging in subjects with chronic ischemic heart failure: results from the Daunia Heart Failure Registry

BACKGROUND: A limited number of studies have used Tissue Doppler Imaging (TDI) to evaluate the effect of statin therapy on left ventricular dysfunction in patients with chronic heart failure. In this work, we aimed to determine whether statin administration influenced prognosis, inflammatory activation and myocardial performance evaluated by Tissue Doppler Imaging in subjects enrolled in the Daunia Heart Failure Registry, a local registry of patients with chronic heart failure. METHODS: This study retrospectively analyzed 353 consecutive outpatients with chronic heart failure (mean follow-up 384 days), based on whether statin therapy was used. In all patients, several Tissue Doppler Imaging parameters were measured; circulating levels of interleukin (IL)-6, IL-10 and C-reactive protein were also assayed. RESULTS: Statin administration in 128 subjects with ischemic heart disease was associated with a lower incidence of adverse events (rehospitalization for HF 15% vs. 46%, p<0.001; ventricular arrhythmias 5% vs. 21%, p<0.01; cardiac death 1% vs. 8%, p<0.05), lower circulating levels of IL-6 (p<0.05) and IL-10 (p<0.01), lower rates of chronic heart failure (p<0.001) and better Tissue Doppler Imaging performance (E/E' ratio 12.82 + 5.42 vs. 19.85 + 9.14, p<0.001; ET: 260.62+ 44.16 vs. 227.11 +37.58 ms, p<0.05; TP: 176.79 + 49.93 vs. 136.7 + 37.78 ms, p<0.05 and St: 352.35 + 43.17 vs. 310.67 + 66.46 + 37.78 ms, p<0.05). CONCLUSIONS: Chronic ischemic heart failure outpatients undergoing statin treatment had fewer readmissions for adverse events, blunted inflammatory activation and improved left ventricular performance assessed by Tissue Doppler Imaging