University of Bari Aldo Moro
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High prevalence of chronic endometritis in women with nonstructural abnormal uterine bleeding and benefits of antimicrobial treatment on blood loss pattern: A prospective, observational study
No full textObjective
The causal link between chronic endometritis (CE) and nonstructural abnormal uterine bleeding (AUB) has been poorly investigated and requires further clarification. This study aimed to evaluate the prevalence of CE in women with nonstructural AUB and to assess the effect of CE cure on the menstrual blood loss pattern.
Methods
This prospective study was conducted between 2022 and 2024 at the Department of Obstetrics and Gynecology, University of Bari, Italy. Women aged 20-45 undergoing hysteroscopy for AUB with confirmation of nonstructural causes were evaluated for CE and considered affected when both hysteroscopic and histologic/immunohistochemical (HIS/IHC) criteria were met. Women with CE were treated with specific culture-guided therapy. Cure ascertainment was confirmed by triple negativity at hysteroscopy-HIS/IHC-culture (Group A). In cases of a positive test, a second course of therapy, up to three courses, was repeated before declaring a persistent condition (Group B). At enrollment and at end-of-treatment evaluation, all participants completed a questionnaire to describe the bleeding characteristics and the Pictorial Blood Assessment Chart (PBAC). Serum hemoglobin and ferritin were also assessed.
Results
Chronic endometritis was diagnosed in 102 of 145 (70.3%) women with nonstructural AUB enrolled in the study. Out of 102 CE patients, 81 (79.4%) patients showed CE resolution after therapy (group A), while in 21 patients (20.6%) CE was persistent (group B). The duration of heavy bleeding before treatment (baseline) was similar in both groups (P = ns). In contrast, at the end of treatment, days of heavy bleeding, days of spotting, and PBAC scores decreased significantly in group A compared with both same-group baseline assessment and group B. Serum hemoglobin and ferritin levels in cured women (A) were significantly higher than in those with persistent CE (B). PBAC scores in group A at 3 and 6 months after the end of treatment showed persistence of cure benefits on AUB. Finally, among patients with CE diagnosis, both univariate and multivariate regressions showed a significant association between cure of CE and reduced bleeding.
Conclusion
Chronic endometritis was highly prevalent in women with nonstructural AUB in our cohort. Cure of CE by targeted antimicrobial therapy led to significant improvements in bleeding patterns
Scrivere con il corpo. Il “teatro” di Pasolini tra “integrazione figurale” e performatività
No full textL’esigenza di integrare la parola scritta – sia essa poetica, narrativa, saggistica – attraverso i codici pragmatici e storico-esistenziali dell’azione nasca in Pasolini
con l’interessamento alla semiologia e alla linguistica implicato dall’esperienza cinematografica. Se ne possono in realtà riconoscere i prodromi già nel 1960, quando il poeta - nella rubrica tenuta su "Vie nuove", intitolata "Le belle bandiere" - comincia a parlare di "integrazione figurale". Pasolini ricava questo concetto dalla nozione di matrice auerbachiana di «interpretazione figurale», afferente al dominio della teologia e definita dal filologo tedesco come una «connessione fra due avvenimenti o due personaggi, nella quale [...] uno dei due significa non solamente se stesso, ma anche l’altro, e il secondo invece include il primo o lo integra». Pasolini sembra filtrarla – come spesso fa con concetti e nozioni mutuati da altri – in un’accezione del tutto personale, che diverge non poco dalla formulazione di Auerbach. Attraverso uno dei suoi proverbiali, fecondi “fraintendimenti”, lo scrittore svincola l’idea dell’interpretazione figurale dal suo ambito originale, storico-esegetico, intendendola come un fattore extratestuale, di natura pragmatica, in grado di “catalizzare” l’opera, aggiungendovi una “plasticità”, una pienezza di senso, che la realizza, la compie
Peculiar Behaviors of Functions in -Calculus.
No full textIn this paper, we discuss some peculiar properties of analytic, monogenic, and slice monogenic functions in q-calculus
Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence
Get PDFThis study investigated the application of high-resolution satellite imagery from SuperDove satellites combined with machine learning algorithms to estimate the spatiotemporal variability of some winter wheat parameters, including the relative leaf chlorophyll content (RCC), relative water content (RWC), and aboveground dry matter (DM). The research was carried out within an experimental field in Southern Italy during the 2024 growing season. Different machine learning (ML) algorithms were trained and compared using spectral band data and calculated vegetation indices (VIs) as predictors. Model performance was assessed using R2 and RMSE. The ML models tested were random forest (RF), support vector regressor (SVR), and extreme gradient boosting (XGB). RF outperformed the other ML algorithms in the prediction of RCC when using VIs as predictors (R2 = 0.81) and in the prediction of the RWC and DM when using spectral bands data as predictors (R2 = 0.71 and 0.87, respectively). Model explainability was assessed with the SHAP method. A SHAP analysis highlighted that GNDVI, Cl1, and NDRE were the most important VIs for predicting RCC, while yellow and red bands were the most important for DM prediction, and yellow and nir bands for RWC prediction. The best model found for each target was used to model its seasonal trend and produce a variability map. This approach highlights the potential of integrating ML and high-resolution satellite imagery for the remote monitoring of wheat, which can support sustainable farming practices
Innovative approaches for the fermentation of black cabbage with improved nutritional and health-promoting traits
No full textBlack cabbage can be promising to prepare innovative functional products. This research explores controlled fermentation as a new sustainable food production and stabilization technology to enhance the nutritional traits of black cabbage. Two different approaches were applied: soaking cut leaves in brine and pressing cut leaves adding salt. Lactiplantibacillus plantarum (TB 11–32) and Saccharomyces cerevisiae (LI 180-7) starter strains were employed to drive the fermentation and stabilize the final product for human consumption. Fermenting cut pressed leaves of black cabbage allowed to obtain a pH level below 4.6 and to ensure required safety aspects. Lactic Acid Bacteria fermentation (P-LAB) revealed a higher presence of some alcohols, carboxylic acids, terpenes, phenols, and dimethyl disulphide; the yeast fermentation (P-YST) promoted several esters. The fermented final product was enriched in polyphenol content of 3.7–4.6 times and of 2.7–3.4 times in antioxidant activity in comparison with the raw untreated material. Both P-YST and P-LAB fermented black cabbage favoured gut microbial growth and were beneficial for human health. P-YST specifically increased the production of some short chain fatty acids (SCFAs) and relative esters and carboxylic acids, whereas released phenolics compounds in LAB fermented sample could prevent the formation of reactive free radicals and improve human cardiovascular health
Transport Infrastructures for the Elderly: Evaluation of Economic Effects
No full textThe contribution of this paper is to synthesise and evaluate the current literatures referring to
the economic impacts and equity of transport infrastructures for the elderly. It presents the wider
interactions between transport needs of the elderly and social exclusion. It summarises what is
currently known about these issues, identifies gaps in the knowledge base and draws attention
to opportunities for further research.
Previous research results show that female and the elderly mobility needs are important to be
accounted in mobility supply reforms and indicates the importance of clustering the population
for providing useful and sustainable transport infrastructures and services.
These elements will be further analysed and considered to formulate appropriate policies
La ricognizione di debito nel sistema del Testo Unico Registro tra (incerte) qualificazioni civilistiche e riflessi di natura tributaria – Parte Prima
No full textIl regime dell’imposta di registro applicabile all’atto privato non autenticato
di riconoscimento di debito ha sollevato nel tempo una serie di questioni critiche. Le incertezze hanno riguardato non solo se l’imposta di registro dovesse essere fissa o proporzionale, ma anche l’individuazione (in quest’ultimo caso) dell’aliquota applicabile. In conseguenza della
tipizzazione delle fattispecie imponibili, in termini di metodo, l’esigenza di ricostruire il quadro delle fonti appare prioritaria.The regime of registration tax applicable to a non-authenticated private deed
of acknowledgement of debt has raised a number of critical issues over time. The uncertainties have concerned not only whether the registration tax should be fixed or proportional, but also the identification (in the latter case) of the applicable rate. As a result of the typification
of taxable cases, in terms of method, the need to reconstruct the framework of sources
appears to be a priority
L’apprendimento della Lingua dei Segni Italiana (LIS) da parte di apprendenti udenti. Un’esperienza didattica in contesto universitario
No full textQuesto contributo si pone l’obiettivo di mettere in evidenza i vantaggi cognitivi che l’apprendente udente può trarre dall’apprendimento e dall’uso della lingua dei segni italiana (LIS) nonché l’impatto sociale che può avere la conoscenza e l’uso della LIS da parte della popolazione udente. L’argomentazione si basa su aspetti teorico-linguistici applicati all’analisi di dati emersi nel contesto di un corso di competenze trasversali dedicato alla sensibilizzazione e all’avviamento di apprendenti udenti allo studio della LIS, tenutosi presso l’Università degli Studi di Bari Aldo Moro
DRUG DESIGN, SYNTHESIS AND STRUCTURE-ACTIVITY RELATIONSHIPS OF NOVEL MULTIMODAL INDOLE-FUSED TRICYCLIC DERIVATIVES TARGETING CANNABINOID-MODULATED G PROTEIN-COUPLED RECEPTORS AND CHOLINESTERASES
Get PDFDue to the multi-factorial nature of most neurological disorders, developing multi-target compounds is still considered among the effective approaches to developing neuroprotective drugs. Despite the scientific advances in the areas of neurochemistry, genetics, molecular and cell biology, there is still no effective treatment available that can delay the onset or slow the progression of neurodegenerative diseases, like Alzheimer’s disease (AD) and memory impairments. In the context of the challenging multitarget-directed-ligand (MTDL) design strategy of novel therapeutic agents for treating AD and related syndromes, progress has been made in the medicinal chemistry of drugs acting within and beyond the endocannabinoid system. Endogenous lipids, such as palmitoylethanolamide, that act simultaneously at GPCRs, ion channels, and PPARs can be taken as templates.
In this Ph.D. thesis study, starting from the structures of small-molecules inhibiting well-established AD-related targets, such as cholinesterases (AChE and BChE) and N-methyl-D-aspartate (NMDA) receptor, the synthesis has been carried out of novel rationally designed tricyclic indole-fused derivatives which interestingly proved to act as modulators (antagonists and/or inverse agonists) of the cannabinoid-related GPCRs GPR18 and GPR55, in some cases endowed with additional BChE-selective inhibition. The desired outcome is the combination of the anticholinesterase activity with the modulation of these poorly studied receptors, for a synergistic effect against neuroinflammation and neurodegeneration. Structure−activity relationships were analyzed, and selectivity versus cannabinoid (CB) and CB-like receptors was assessed. Chemical synthesis and analysis, radioligand binding and functional assays, enzymes’ inhibition kinetics and molecular modeling studies, in addition to allowing us to select candidates for in vivo pharmacological evaluation, provided us with useful medicinal chemistry information enabling the optimization of MTDLs against neurological disorders, potentially more effective than the currently available
Integrare Percorsi di Salute Personalizzati e Ecosistemi di Apprendimento Adattivo AI: uno Studio Transdisciplinare sull'Engagement del Paziente
No full textIl presente contributo riporta la fase iniziale dello studio transdisciplinare Safety (perSonalized heAlthy Food pathway against obEsiTY). Finalità è l' applicazione dei principi della medicina narrativa all’interno di un ecosistema digitale adattivo, supportato da un agente conversazionale basato su intelligenza artificiale. L’obiettivo è indagare come un dialogo riflessivo e centrato sulla persona — erogato attraverso un’interfaccia digitale — possa favorire l’engagement del paziente, la consapevolezza emotiva e l’autoregolazione alimentare. Lo studio integra modelli educativi, narrativi e tecnologici per promuovere il cambiamento comportamentale in modo sostenibile