Archivio istituzionale della Ricerca - Università degli Studi di Parma
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«Se mi lasci, non vale». Considerazioni su Brexit, estradizione e fiducia reciproca alla luce della sentenza Alchaster della Corte di giustizia
No full textIn Alchaster, the Court of Justice clarified the kind of assessment to be carried out by the
judicial authority of an EU Member State tasked with the execution of an arrest warrant issued by a British judicial authority, so that the rights of the requested person are respected in the UK. In the light of this, the article discusses the relevant regulation provided by the Trade and Cooperation Agreement and takes into account what the Court ruled in cases such as Aranyosi and Caldararu and Petruhhin. The focus is on whether mutual trust still exists in the relationship between the EU, its Member States and the U
Integrated Lung, Diaphragm and Lower Limb Muscular Ultrasound: Clinical Correlations in Geriatric Patients with Acute Respiratory Illness
No full textBackground/Objectives: Point-of-care lung ultrasonography (LUS) represents an accurate diagnostic tool in older patients with respiratory failure. The integration of LUS with ultrasonographic assessment of diaphragm thickness and excursion, right vastus lateralis (RVL) muscle thickness and cross-sectional area (CSA) could provide real-time information on frailty and sarcopenia. The primary aim of this proof-of-concept prospective study was to evaluate clinical correlates of thoracic, diaphragmatic, and muscular ultrasound to characterize the associations between frailty, respiratory failure, and sarcopenia in older patients hospitalized for acute respiratory complaints. Methods: Each of 52 participants (age median 84, IQR 80–89 years old) underwent integrated LUS, diaphragm and RVL ultrasound examination upon admission (T0) and after 72 h of hospitalization (T1). LUS score was used to estimate lung interstitial syndrome severity. Diaphragm excursion, thickness, RVL thickness and CSA were measured following a standardized protocol. Frailty was assessed with the PC-FI (Primary Care-Frailty Index). Results: All patients exhibited multifactorial causes of respiratory symptoms. The LUS score on T0 predicted 3-month rehospitalization. Frail patients exhibited higher LUS scores on T1. Diaphragm excursion on T0 was reduced in patients with COPD and heart failure and in those developing delirium during hospitalization. Diaphragm excursion on T1 was negatively associated with PC-FI. Diaphragm thickness, RVL thickness, and CSA exhibited a positive association with obesity. Right vastus lateralis CSA on T1, however, was also negatively associated with PC-FI. Conclusions: Integrated lung, diaphragm, and RVL ultrasound shows clinical correlations with several aspects of frailty that may help to improve the management of geriatric patients with respiratory illness
Description of Ficus carica L. Italian Cultivars—I: Machine Learning Based Analysis of Leaf Morphological Traits
No full textCommon fig, or simply fig (Ficus carica L.), is one of the most ancient species originated and domesticated in the Mediterranean basin. The Italian fig germplasm consists of a large number of cultivars, more than 300. This number is approximate; there are many genotypes that are still poorly known and studied that may possess interesting agronomic traits, especially in terms of response to climate change. Therefore, it is extremely important to study and preserve agrobiodiversity, but more importantly to identify simple and rapid characterization methods to catalog “hidden” cultivated plants. In this study, geometric leaf morphometry was used to explore differences among fifteen Tuscan fig cultivars. In addition, the effectiveness of a machine learning (ML) algorithm to characterize cultivars was evaluated. The study analyzed two classes of cultivars, one of plants with predominantly three-lobed leaf shape, and one five-lobed. Thirty-three descriptors for the five-lobed and twenty-three for the three-lobed. Anova analysis showed statistically significant differences for all characters analyzed and allowed an initial characterization of the material. Then, Random Forest algorithm analysis was used to reduce the number of parameters to those most significant for classification. The results showed that machine learning-based techniques are a valid system for analyzing leaves of F. carica cultivars and interpreting significant differences in leaf parameters. Classification based on the Random Forest model allowed us to filter out the main descriptors that best differentiate cultivars from each other
Gut Microbiome, Diet and Depression: Literature Review of Microbiological, Nutritional and Neuroscientific Aspects
No full textPurpose of Review
This review explores the intricate relationships among the gut microbiota, dietary patterns, and mental health, focusing specifically on depression. It synthesizes insights from microbiological, nutritional, and neuroscientific perspectives to understand how the gut-brain axis influences mood and cognitive function.
Recent Findings
Recent studies underscore the central role of gut microbiota in modulating neurological and psychological health via the gut-brain axis. Key findings highlight the importance of dietary components, including probiotics, prebiotics, and psychobiotics, in restoring microbial balance and enhancing mood regulation. Different dietary patterns exhibit a profound impact on gut microbiota composition, suggesting their potential as complementary strategies for mental health support. Furthermore, mechanisms like tryptophan metabolism, the HPA axis, and microbial metabolites such as SCFAs are implicated in linking diet and microbiota to depression. Clinical trials show promising effects of probiotics in alleviating depressive symptoms.
Summary
This review illuminates the potential of diet-based interventions targeting the gut microbiota to mitigate depression and improve mental health. While the interplay between microbial diversity, diet, and brain function offers promising therapeutic avenues, further clinical research is needed to validate these findings and establish robust, individualized treatment strategies
Taking a snapshot of artificial intelligence in supply chain management: A bibliometric study
No full textSmart extrusion via data-driven prediction of grain size and peripheral coarse grain defect formation
No full textThe Desiccation and Catastrophic Refilling of the Mediterranean: 50 Years of Facts, Hypotheses, and Myths Around the Messinian Salinity Crisis
No full textAccording to some authors, the Messinian salinity crisis was ended by a giant waterfall or megaflood 5.33 million years ago, when the Atlantic Ocean reconnected in a catastrophic way with the desiccated Mediterranean, creating the Strait of Gibraltar. An erosional surface deeply cutting upper Miocene or older rocks and sealed by lower Pliocene sediments is the geological feature that inspired this fascinating hypothesis. The hypothesis, which recalls several ancient myths, is well established in the scientific community and often considered to be a fact. However, several studies are suggesting that the Atlantic–Mediterranean connection through the Strait of Gibraltar was probably active before and during the entire Messinian salinity crisis. This allows us to consider the possibility that long-lived, more gradual physical processes were responsible for the evolution of the strait, opening the idea of a nondesiccated Mediterranean Sea
Small molecules targeting the eubacterial β-sliding clamp discovered by combined in silico and in vitro screening approaches
No full textAntibiotic resistance stands as the foremost post-pandemic threat to public health. The urgent need for new, effective antibacterial treatments is evident. Protein-protein interactions (PPIs), owing to their pivotal role in microbial physiology, emerge as novel and attractive targets. Particularly promising is the α-subunit/β-sliding clamp interaction, crucial for the replicative competence of bacterial DNA polymerase III holoenzyme. Through pharmacophore-based virtual screening, we identified 4,000 candidate small molecule inhibitors targeting the β-clamp binding pocket. Subsequently, these candidates underwent evaluation using the BRET assay in yeast cells. Following this, three hits and 28 analogues were validated via Protein Thermal Shift and competitive ELISA assays. Among them, thiazolo[4,5-d]-pyrimidinedione and benzanilide derivatives exhibited micromolar potency in displacing the β-clamp protein partner and inhibiting DNA replication. This screening campaign unveiled new chemical classes of α/β-clamp PPI disruptors capable of inhibiting DNA polymerase III activity, which lend themselves for further optimisation to improve their antibacterial efficacy
Self-Reported Delayed Adverse Events and Flare Following COVID-19 Vaccination Among Patients With Autoimmune Rheumatic Disease (AIRD) in Malaysia: Results From the COVAD-2 Study
No full textObjectives: To determine the prevalence of self-reported delayed adverse events (DAEs), major AEs, and flares following COVID-19 vaccinations among patients with autoimmune rheumatic diseases (AIRDs) in Malaysia. Methodology: An electronically validated survey from the COVID-19 vaccination in autoimmune diseases (COVAD) study group was distributed in July 2021 to patients with autoimmune diseases and healthy controls (HCs). The survey collected data on DAEs (any AE that persisted or occurred after 7 days of vaccination), any early or delayed major adverse events (MAEs), and flares following COVID-19 vaccination. Generalized estimating equation (GEE) models were performed to determine the factors associated with repeated events of DAEs, MAEs, and flares. Results: A total of 556 vaccines were administered to 204 subjects (150 AIRDs and 54 HCs), with 72.1% completing 3 doses. In multivariate GEE analysis, there was a greater frequency of minor DAEs among AIRDs versus HCs (OR 5.65, p = 0.052). The occurrence of MAEs was higher in AIRDs versus HCs (4.9% vs. 1.3%, p = 0.052), but it was no longer significant in the GEE model. In the AIRDs group, the BNT162b2 vaccine increased the risk for minor DAEs (OR4.68, p = 0.02) while patients with autoimmune multimorbidity showed a greater risk for MAEs (OR 8.25, p = 0.007). The rate of flare was 10.6% and multivariate GEE analysis revealed that The rate of flare was 10.6% and multivariate GEE analysis revealed that systemic lupus erythematosus (SLE) (OR0.31, p = 0.03) and hydroxychloroquine (HCQ) (OR 0.16, p < 0.001) were protective against flare. Conclusion: The rates of minor DAEs, major AEs, and flares were comparable with other reported studies. Different types of vaccines, underlying AIRDs, and treatments may influence the symptoms of AEs and flares postvaccination against COVID-19
