25 research outputs found
Wind-wave characteristics and extremes along the Emilia-Romagna coast
This study examines the wind-wave characteristics along the Emilia-Romagna coasts (northern Adriatic Sea, Italy) with a 10-year wave simulation for the period 2010-2019 performed with the high-resolution unstructured-grid WAVEWATCH III (WW3) coastal wave model. The wave parameters (significant wave height, mean and peak wave period, and wave direction) were validated with the in situ measurements at a coastal station, Cesenatico. In the coastal belt, the annual mean wave heights varied from 0.2-0.4 m, and the seasonal mean was highest for the winter period (> 0.4 m). The Emilia-Romagna coastal belt was characterized by wave and spectra seasonal signals with two dominant frequencies of the order of 10 and 5-6 s for autumn and winter and 7-9 and 4 s for spring and summer. The wavelet power spectra of significant wave height for 10 years show considerable variability, having monthly and seasonal periods. This validated and calibrated data set enabled us to study the probability distributions of the significant wave height along the coasts and define a hazard index based on a fitted Weibull probability distribution function
Increasing HPV vaccination uptake among adolescents: A systematic review
Human Papillomavirus (HPV) vaccination is a well-known fundamental strategy in the prevention of cervical cancer, as it is always caused by HPV infection. In fact, primary prevention of the infection corresponds to primary prevention of HPV-related cancers and other diseases. Since an effective prevention at the population level is the final goal, it is mandatory for healthcare systems to achieve a high HPV vaccination coverage among the adolescents to reduce the circulation of the virus and the burden of HPV-related diseases. This research identified, through a systematic literature review, 38 papers on strategies adopted to increase HPV vaccination coverage among adolescents. The evaluated strategies targeted adolescents/parents and/or healthcare providers and could be grouped in three main types: (1) reminder-based, (2) education, information, and communication activities, and (3) multicomponent strategies. Several types of strategy, such as those relied only on reminders and integrating different interventions, showed a positive impact on vaccination coverage. Nonetheless, the heterogeneity of the interventions suggests the importance to adapt such strategies to the specific national/local contexts to maximize vaccination coverage
Observational Evidence of the Basin-Wide Gyre Reversal in the Gulf of Taranto
The paper shows for the first time the observational evidence of basin-wide gyre reversal in the Gulf of Taranto (north-western Ionian Sea in the eastern Mediterranean Sea) by means of two specifically designed in situ oceanographic campaigns (based on CTD and ADCP measurements). The analysis of the in situ data shows a change in circulation from anticyclonic in October 2014 to cyclonic in June\u2013July 2016. Furthermore, long-term (1993\u20132018) analysis using gridded satellite altimetry data in the Gulf of Taranto shows that the cyclonic gyres are more frequent than anticyclonic gyres. The latter occur only for 2 to 3 years at a time in some decades
Variation of intratesticular blood flow in response to urinary-FSH treatment in severe oligoteratoasthenozoospermic males.
Variations in blood flow physiologically occur in the gonads and affect their function. In women, blood flow velocity in ovarian and uterine arteries reaches its peak at midcycle and basically correlates with mean levels of FSH, LH, and P serum concentrations. In purified FSH-stimulated cycles, induction of multiple follicular development is accompanied by a decrease in blood flow resistance in both uterine and intraovarian arteries. In men, a strong relationship between blood flow and testicular tubular function has been demonstrated (1), but very little is known about the interplay between hormone levels and intratesticular blood flow.
We investigated whether administration of exogenous gonadotropins to normogonadotropic males affected by severe idiopathic oligoteratoasthenozoospermia (OAT) may induce variations in blood flow supply to the testes. We therefore evaluated variation in intratesticular vascular resistance and number of intratesticular vessels before and after 6 months treatment with extractive urinary FSH (u-FSH)
Variation of intratesticular blood flow in response to urinary follicle-stimulating hormone treatment in men with severe oligoteratoasthenozoospermia
Trattamento con Amfotericina B e Tetraciclina nelle vaginiti con associazione Trichomonas-Mycoplasma
Scoping review of the current landscape of AI-based applications in clinical trials
Background: Clinical trials are essential for bringing new drugs, technologies and procedures to the market and clinical practice. Considering the design and the four-phase development, only 10% of them complete the entire process, partly due to the increasing costs and complexity of clinical trials. This low completion rate has a huge negative impact in terms of population health, quality of care and health economics and sustainability. Automating some of the process' tasks with artificial intelligence (AI) tools could optimize some of the most burdensome ones, like patient selection, matching and enrollment; better patient selection could also reduce harmful treatment side effects. Although the pharmaceutical industry is embracing artificial AI tools, there is little evidence in the literature of their application in clinical trials. Methods: To address this issue, we performed a scoping review. Following the PRISMA-ScR guidelines, we performed a search on PubMed for articles on the implementation of AI in the development of clinical trials. Results: The search yielded 772 articles, of which 15 were included. The articles were published between 2019 and 2022 and the results were presented descriptively. About half of the studies addressed the topic of patient recruitment; 12 articles reported specific examples of AI applications; five studies presented a quantitative estimate of the effectiveness of these tools. Conclusion: All studies present encouraging results on the implementation of AI-based applications to the development of clinical trials. AI-based applications have a lot of potential, but more studies are needed to validate these tools and facilitate their adoption