Archivio Istituzionale della Ricerca- Università degli Studi di Foggia
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    Evaluating the Inflammatory Protein Ratio (IPR) as an Inflammation-Based Biomarker for Cancer Diagnosis

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    Chronic inflammation is increasingly recognized as a key driver of tumorigenesis, affecting both the tumor microenvironment and host response. In this context, circulating inflammatory proteins may provide valuable insights into cancer activity. This study evaluated the diagnostic performance of the inflammatory protein ratio (IPR), a composite index derived from serum protein electrophoresis, in detecting active cancer among hospitalized patients. We retrospectively analyzed clinical and laboratory data from 312 adult patients admitted to the Internal Medicine and Aging Department at Policlinico Foggia, Italy, between November 2023 and July 2024. Patients were stratified according to the presence of active cancer, defined by NICE criteria. The diagnostic accuracy of the IPR was compared with that of conventional inflammatory markers, including C-reactive protein (CRP) and the neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), and systemic immune–inflammation index (SII). The IPR showed the highest diagnostic performance, with a sensitivity of 88.1%, a specificity of 75.2%, and an area under the receiver operating characteristic curve (AUC) of 0.868. Its negative predictive value reached 97.6%, underscoring its potential as a rule-out tool for malignancy in hospitalized patients. These findings support the IPR as a promising and cost-effective inflammation-based biomarker for cancer detection, warranting further validation in prospective and molecularly characterized cohorts

    Los procesos de memorialización de graves violaciones de derechos humanos como quinto pilar de la justicia transicional. Análisis teórico-normativo y aplicación al caso de los Años de Plomo en Italia / I processi di memorializzazione delle gravi violazioni dei diritti umani come quinto pilastro della giustizia transizionale. Anàlisi teorico-normativa e applicazione al caso degli Anni di Piombo in Italia

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    Questo lavoro di ricerca analizza l’inserimento dei processi di memorializzazione come quinto pilastro autonomo all’interno del modello della giustizia transizionale. L’ipotesi centrale sostiene che tali processi, quando sono promossi deliberatamente dallo Stato in risposta a gravi violazioni dei diritti umani, costituiscono una dimensione giuridicamente formalizzabile, distinta dai pilastri tradizionali della verità, della giustizia, della riparazione e delle garanzie di non ripetizione. Attraverso una metodologia teorico-normativa, si delimita concettualmente la differenza tra memoria, memorializzazione, processi di memorializzazione e luoghi della memoria, e si identificano i fondamenti giuridici che giustificano l’inclusione di questi processi come componente stabile del modello transizionale. L’analisi si basa su fonti normative del diritto internazionale e su dottrina specializzata. Come applicazione del quadro proposto, viene esaminato il caso degli Anni di Piombo in Italia, al fine di valutare come siano state gestite le controversie sul passato e quale margine offra tale esperienza per formalizzare politiche pubbliche di memoria in contesti democratici privi di una transizione politica. La tesi conclude che l’integrazione dei processi di memorializzazione come pilastro autonomo rafforza la dimensione strutturale della giustizia transizionale e contribuisce a consolidare un quadro teorico per la gestione istituzionale della memoria in società segnate da eredità di violenza.This thesis analyzes the incorporation of memorialization processes as a fifth autonomous pillar within the transitional justice model. The central hypothesis holds that these processes, when deliberately promoted by the State in response to serious human rights violations, constitute a legally formalizable dimension, distinct from the traditional pillars of truth, justice, reparation, and guarantees of non- repetition. Using a theoretical and normative methodology, the research conceptually distinguishes between memory, memorialization, memorialization processes, and sites of memory, and identifies the legal foundations that support the integration of these processes as a stable component of the transitional model. The analysis is based on normative sources of international law and specialized legal scholarship. As an application of the proposed framework, the study examines the case of Italy’s Years of Lead to assess how disputes over the past have been managed and to what extent this experience offers a basis for formalizing public memory policies in democratic contexts without a political transition. The thesis concludes that the integration of memorialization processes as an autonomous pillar reinforces the structural dimension of transitional justice and contributes to the consolidation of a theoretical framework for the institutional management of memory in societies dealing with legacies of violence.Este trabajo de investigación analiza la incorporación de los procesos de memorialización como un quinto pilar autónomo dentro del modelo de justicia transicional. La hipótesis central sostiene que estos procesos, cuando son impulsados deliberadamente por el Estado en respuesta a graves violaciones de derechos humanos, constituyen una dimensión jurídicamente formalizable, distinta de los pilares tradicionales de verdad, justicia, reparación y garantías de no repetición. A partir de una metodología teórico-normativa, se delimita conceptualmente la diferencia entre memoria, memorialización, procesos de memorialización y sitios de memoria, y se identifican los fundamentos jurídicos que permiten justificar la incorporación de estos procesos como componente estable del modelo transicional. El análisis se basa en fuentes normativas del derecho internacional y doctrina especializada. Como aplicación del marco propuesto, se examina el caso de los Años de Plomo en Italia, para evaluar cómo se han gestionado las disputas en torno al pasado y qué margen ofrece esta experiencia para formalizar políticas públicas de memoria en contextos democráticos sin transición política. La tesis concluye que la integración de los procesos de memorialización como pilar autónomo refuerza la dimensión estructural de la justicia transicional, y contribuye a consolidar un marco teórico para la gestión institucional del recuerdo en sociedades que enfrentan legados de violencia

    Le relazioni, "pilastro" della scuola, anche tra cent'anni

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    Il saggio intende approfondire la centralità delle relazioni all'interno dell'istituzione scolastica, anche in presenza dei radicali cambiamenti che essa subirà nei prossimi cent'ann

    When Silence Speaks. Negotiating Memory and Inter-generational Relationships in Leftist Families in Turkey

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    Drawing on fieldwork in Istanbul, this article explores the practices of silencing characterizing relationships between parents and children in Turkish leftist families affected by state violence in the wake of the 1980 coup. It shows how silence and secrecy can be understood as a set of embodied experiences and reflective actions that are intersubjective and which convey emotions, values, and a tacit knowledge of the state. Moving beyond the trauma paradigm, such practices are interpreted as a field of meaning-making through which political cultures, generational boundaries, and collective representations are produced and negotiated. Likewise, former revolutionaries’ habit of silencing personal memories in favor of we-centered narratives is seen not as a sign of traumatic unspeakability or political oppression, but as a collective process of intimate selving through which they reconstruct their revolutionary moral economy in the present

    Hyperspectral Imaging Techniques on Optical Sorter for Pea Gluten-free

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    Celiac disease (CD) is a very widespread chronic autoimmune disease that causes the body's immune reaction to the intake of gluten: a protein complex present in many cereals, such as barley, wheat and rye. Gluten free products are increasingly in demand on the market, developing more and more interest. The main problem encountered for the certification of a gluten free product is the sorting of the product in order to guarantee the elimination of 100% of cereal contaminants.The present study has developed and perfected the use of optical systems based on the hyperspectral image analysis technique in order to be able to uniquely identify some spectral characteristics of the products to be analysed, statistically classifying them and separating them from contaminating products. The hyperspectral images were created with VIS (Visible) and NIR (Neari infrared) cameras in opposite positions to acquire the reflected radiation on both side of the product.A statistical classifier was created in order to obtain 100% classification of contaminants and the tests carried out with an industrial plant on pea confirmed the result of having eliminated 100% of contaminants with a non-influential product waste (less than 20%)

    Alla consulta l’applicazione dell’Irap alle associazioni professionali notarili

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    La CGT I° di Firenze ha rimesso alla Corte costituzionale la questione di legittimità dell’art. 1, comma 8, l. n. 234 del 2021 e dell’art. 5, comma 3, lett. c), Tuir, nella parte in cui non prevedono l’esclusione dall’Irap per le associazioni professionali notarili, in possibile contrasto con gli artt. 3, 53 e 41 Cost

    Preliminary Study on the Antifungal Potential of Selected Plants as Botanical Fungicides Against Main Fungal Phytopathogens

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    Fungal diseases represent relevant constraints on global agricultural productivity, causing severe yield losses and deterioration of crop quality. The extensive use of chemical fungicides has produced environmental and health concerns due to their persistence, bioaccumulation, toxicity, and the increasing development of resistant fungal strains. To promote sustainable plant protection strategies, this study aimed to evaluate natural alternative products derived from botanical sources and agro-industrial wastes. Eighteen putative inhibiting products (PIPs), selected based on their availability as spontaneous plants or agro-industrial wastes, together with a commercial resistance inducer, were screened in in vitro assays against a collection of 31 phytopathogenic fungi. The inhibitory activity (IA) from the PIPs was evaluated, and statistical analyses were performed to identify the best performer. Several PIPs showed significant inhibitory activity against several fungal species, while others promoted fungal growth, highlighting the dual nature of the tested PIPs as potential bio-fungicides and growth-promoting agents for beneficial fungi. These findings highlight the value of plant-derived metabolites and agricultural waste valorization as promising sources for the development of sustainable botanical fungicides as well as support the transition toward eco-friendly crop protection strategies aligned with the European Green Deal objectives

    La potestà regolamentare in materia tributaria dei Comuni alla luce del divieto di Aiuti di Stato di cui agli artt. 107 e 108 TFUE nel quadro di attuazione del PNRR

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    Il contributo approfondisce il ruolo della fiscalità locale nella attuazione del PNRR, la quale dovrebbe operare quale mezzo di attuazione delle missioni fissate nel PNRR, veicolando investimenti anche mediante la concessione di agevolazioni sui tributi di propria competenza (IMU, TARI, imposta di soggiorno, etc.). Tale funzione si scontra, tuttavia, con l'incompleta realizzazione di un sistema di federalismo fiscale e, per l'effetto, con i limiti posti alla potestà regolamentare dei Comuni in materia tributaria

    MCMC Approach for Stock Price Forecasting Using an Italian-BERT Model

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    Sentiment Analysis is a task of Natural Language Processing (NLP) whose main goal is to classify sentences (or entire texts) to obtain a score about their polarity: positive, negative, or neutral. Recently, a Transformer-based architecture, AlBERTino [5], has been introduced to determine a sentiment score in the financial sector through a specialized corpus of sentences. Here, the AlBERTino model can be used to improve stock forecasting, determining the sentiment score associated with events in the market and using a Markov Chain Monte Carlo (MCMC) method to determine a new series of bounded drift and volatility values based on this score. With these new values obtained through Bayesian inference, generating a series of paths through a Monte Carlo method to predict a polarity-driven future price is possible

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