Search Results (171)

The NW–SE-trending Firenze-Pistoia Basin (FPB) is an intermontane tectonic depression in the Northern Apennines (Italy) bounded to the northeast by a SW-dipping normal fault system. Although it has moderate historical seismicity (maximum estimated Mw 5.5 in 1895), the FPB lacks detailed characterization of its recent tectonic structures, unlike those of nearby basins that have produced Mw > 6 events. This study focuses on the southeastern sector of the basin, including the urban area of Florence, using tectonic geomorphology derived from remote sensing, in particular LiDAR data, field verification, and high-resolution geophysical surveys such as electrical resistivity tomography and seismic reflection profiles. The integration of these techniques enabled interpretation of the subdued and anthropogenically masked tectonic structures, allowing the identification of Holocene activity and significant, although limited, surface vertical offset for three NE–SW-striking normal faults, the Peretola, Scandicci, and Maiano faults. The Scandicci and Maiano faults appear to segment the southeasternmost strand of the master fault of the FPB, the Fiesole Fault, which now shows activity only along isolated segments and cannot be considered a continuous active fault. From empirical relationships, the Scandicci Fault, the most relevant among the three active faults, ~9 km long within the basin and with an approximate Late Quaternary slip rate of ~0.2 mm/year, might source Mw > 5.5 earthquakes. These findings highlight the need to reassess the local seismic hazard for more informed urban planning and for better preservation of the cultural and architectural heritage of Florence and the other artistic towns located in the FPB. Full article

In this study, 172 Single-Nucleotide Polymorphisms (SNPs) (94 identity-informative SNPs, 56 ancestry-informative SNPs, and 22 phenotypic-informative SNPs) included in the ForenSeq™ DNA Signature Prep kit/DNA Primer Mix B (Verogen) were used for genotyping DNA samples from a population of twenty-one unrelated subjects, native to Northeast Italy. SNP sequencing was performed with the MiSeq FGx™ Forensic Genomics System (Illumina-Verogen), and data were analyzed using the Universal Analysis Software (UAS) v1.2. Raw data underwent further examination with STRait Razor v3 (SRv3) to compare the target SNPs’ genotype calls made with UAS and to identify the presence of microhaplotypes (MHs) due to SNPs associated with the same target SNP’s amplicon. The allele (haplotype) frequencies, Hardy–Weinberg equilibrium, linkage disequilibrium, number of effective alleles (A_e), and relevant forensic statistic parameters were calculated. Among the 172 SNPs evaluated, 45 unique microhaplotypes were found, comprising a novel sequence variant never previously described. The presence of MHs resulted in an 8.00% rise in the typologies of unique sequences, leading to changes in A_e. Notably, for 12 out of the 94 iiSNPs, the values of A_e exceeded 2.00, which is generally associated with a higher expected heterozygosity and increased power of discrimination. Full article

The Valley of Tammaro River lies between the regions of Molise and Campania in central southern Italy. The area has been inhabited since ancient times due to its fertile soil and plentiful water resources. The interest in this region is enhanced by the many urban centers and the isolated and rural building complexes that date back to the Samnite era and are connected by a road system that is still in use today. Saepinum, regarded as the symbol of Roman civilization in the Molise area (Italy), is one of these. Before becoming a Roman municipium and then a medieval and contemporary rural community, it was a Samnite trade forum and service center. A suburban villa belonging to the Gens Neratia, a family originally from the Roman municipality of Saepinum, is connected to it approximately 2 km northeast. Both sites were partially excavated, and much more can be learned from the material still available. To this end, geoelectrical studies using the tensor acquisition mode were used to conduct geophysical surveys in certain sectors. The data were processed using Data-Adaptive Probability-Based Electrical Resistivity Tomography, here adapted for the first time to Apparent Resistivity Tensor Analysis. The trace of the apparent resistivity tensor provides distortion-free maps and demonstrates that the anomalies are closely constrained on the source bodies. Full article

Background/Objectives: Patients with type 2 diabetes (T2D) are at risk of developing multiple complications, and diabetic polyneuropathy (DPN) is by far the most common. The purpose of the present study was to assess the ability of a new algorithm based on artificial intelligence (AI) to identify patients with T2D who are at risk of DPN in order to move on to further instrumental evaluation with the biothesiometer method. Methods: This is a single-centre, cross-sectional study with 201 consecutive T2D patients recruited at the Diabetes Operating Unit of the ULSS 6 of Padua (Northeast Italy). The individual risk of developing DPN was calculated using the AI-based MetaClinic Prediction Algorithm and compared with the DPN diagnosis provided by the digital biothesiometer method, which measures the vibratory perception threshold (VPT) on both feet. Results: Of the enrolled patients, 107 (53.23%) were classified by AI software as having a low probability of developing DPN, 39 (19.40%) as having a moderate probability, 29 (14.43%) as having a high probability, and 26 (12.94%) as having a very high probability. In 63 of the total patients, biothesiometer measurement showed a VPT ≥ 25 V, indicative of DPN, while 138 patients had a non-pathological VPT value (< 25 V) (prevalence of abnormal VPT 31.34%; prevalence of normal VPT 68.66%). The overall agreement between biothesiometer results and AI risk attribution was 65%. Cohen’s κ was 0.162, and Gwet’s AC1 coefficient 0.405. Conclusions: The use of an optimized AI algorithm can help estimate the risk of developing DPN, thereby guiding more targeted and in-depth screening, including instrumental assessment using the biothesiometer method. Full article

Background: The optimal diagnostic and therapeutic strategies for prostate cancer (PCa) in patients aged ≥75 years (mild-old and oldest-old) are still contentious. Resource allocation and ideal treatment for older patients are challenges, mainly due to their comorbidities and reduced life expectancy. This survey aims to assess current clinical practices and the experiences of healthcare providers in the diagnosis and management of elderly patients with PCa. Materials and Methods: In Northeast Italy, members of the Gruppo Uro-Oncologico del Nord-Est (GUONE) conducted a survey involving 104 physicians of different specialties (Nuclear Medicine, Medical Oncology, Radiation Oncology, Radiology, Urology) between 1 November 2024 and 30 November 2024. The survey encompassed 51 questions, evaluating various diagnostic and therapeutic scenarios. Results: Digital rectal exam (DRE) was recommended by 35.9% of physicians for patients aged 75 or older at risk of PCa. PSA testing was continued in 76.3% of these patients. For 36.5% of the physicians, there should be no age limit for prostate biopsy. Moreover, 42.6% of physicians recommended a magnetic resonance imaging (MRI)-guided prostate biopsy regardless of age. A prostate biopsy was deemed mandatory before initiating any form of hormonal therapy by 57.7% of the participants. For 22.3% and 34.7% of physicians, there should be no age limit for prostate MRI and PET/CT for staging purposes. Interestingly, PET/CT was not recommended in 52% of cases as a staging tool for patients older than 85 years. For patients without comorbidities, the age limit to consider radical prostatectomy (RP) was 75, with 58.6% of physicians in favor. There were no definitive limits for radiotherapy (RT). Chemotherapy had an age limit for 81.6% of the respondents; for 18.4%, 22.5%, and 26.5% of physicians, age limits were 75, 80, and 85 years, respectively. The use of androgen receptor pathway inhibitors (ARPIs) had no definitive age limits for 46.5% of respondents. For patients with no comorbidities and low-volume metastatic PCa, the preferred option was androgen deprivation therapy + ARPIs + RT. The follow-up schedule after RP or RT exhibited heterogeneity with no consensus regarding the frequency of PSA testing or the age at which it should be discontinued. Conclusions: This survey highlights the need for consensus guidelines in diagnosing and managing mild-old and oldest-old elderly PCa patients. With the aging population, standardized protocols are essential to ensure optimal care. Full article

Italy’s immigrant population has risen in the last two decades. Integration into society, including access to healthcare, is critical for the well-being of this population. Objectives: We compared regular immigrants and Italians to determine whether the groups received different care. Methods: Inpatient and outpatient medical records were collected from January 2017 to December 2021. We abstracted the identification code, nationality, sex, age, ICD-9 codes, date of the first and additional visits, and surgical intervention. Pathologies were categorized with ICD-9 codes. Patients were grouped according to geographical origin: European Union (EU), Central and Eastern Europe, Asia, North Africa, Central and South Africa, North America, and Central and South America. Results: More patients from Asia and Africa presented to inpatient than outpatient clinics (p-value: 0.001). The median age was lower for patients from Asia and Eastern Europe than from the EU. More patients presented with acute spine pain (26.4% versus 19.6%, p-value: 0.001) as inpatients, while patients presented as outpatients more for degenerative spine issues (77.1% versus 69.0%, p-value: <0.001) but less for brain neoplasms (p-value: 0.009). Additional visit rates were higher for immigrants than for Italians (IRR 1.32 visits/year, 95% CI 0.99–1.77 visits/year, p-value: 0.06), especially for patients with spinal issues (spinal versus cranial: 1.27 visits/year, 95% CI 1.14–1.43 visits/year, p-value: <0.001) and younger patients (<65 years old: 1.52 visits/year, 95% CI 1.39–1.71 visits per year, p-value: <0.001). There was no difference in the incidence of new visits when stratified by sex. Conclusions: Access to emergency care and additional visits were more prevalent in the recent immigrant population, especially from Asia, reflecting unconsolidated health habits. Immigrants from Central and Eastern Europe or North Africa seemed fully integrated. A healthcare policy tailored to the needs of immigrants—taking into account their cultural and social backgrounds and ensuring effective communication—can be highly beneficial. Specifically, it is essential to reintegrate general practitioners and guide individuals toward the most appropriate services. Full article

HIV testing is crucial towards the control of the Acquired Immune Deficiency Syndrome (AIDS) epidemic. Monitoring trends of human immunodeficiency virus (HIV) testing over time may help interpret the incidence of new HIV diagnoses and effectiveness of HIV testing strategies. We started a research project aimed at assessing testing rates for HIV infection among Italian outpatients in 2018–2023. Numeric data for screening, confirmatory, and monitoring tests obtained by a national register were compared with the numbers of adult residents, newly diagnosed HIV infections, and patients undergoing treatment. The number of screening tests declined from 1,133,377 in 2018 to 889,972 in 2020 and increased to 1,096,822 in 2023. HIV-RNA tests showed a similar pattern, whereas confirmatory immunoblots did not vary significantly over time. The ratio of screening tests to adult residents was higher in North-West (2.87%) and North-East (2.31%) Italy compared to South Italy and the islands (1.47%), indicating that screening should be enhanced in the latter area. We observed differences between the ratio of screening tests and the incidence of newly diagnosed HIV infections by geographic area. Discrepancies in the number of screening and confirmatory tests needed for each new diagnosis suggest repeated testing on people already diagnosed and possible data reporting issues. The monitoring of HIV screening tests at the national and regional levels can provide essential data to interpret trends in HIV epidemiology and plan relevant testing strategies over time. Full article

Many regions worldwide are exposed to multiple omnipresent hazards occurring in complex interactions. However, multi-hazard assessments are not yet fully integrated into current planning tools, particularly when referring to transboundary areas. This work aims to enable spatial planners to include multi-hazard assessments in their climate change adaptation measures using available data. We focus on a set of hazards (e.g., extreme heat, drought, landslide) and propose a four-step methodology to (i) harmonise existing data from different databases and scales for multi-hazard assessment and mapping and (ii) to read identified multi-hazard bundles in homogeneous territorial areas. The methodology, whose outputs are replicable in other EU contexts, is applied to the illustrative case of Northeast Italy. The results show a significant difference between hazards with a ‘dichotomous’ spatial behaviour (shocks) and those with a more complex and nuanced one (stresses). The harmonised maps for the single hazards represent a new piece of knowledge for our territory since, to date, there are no comparable maps with this level of definition to understand hazards’ spatial distribution and interactions between transboundary areas. This study does present some limitations, including putting together data with a remarkable difference in definition for some hazards. Full article

Humulus lupulus L. (hop) is a crucial crop within the brewing industry and a rich source of bioactive compounds. Traditionally concentrated in northeast regions of Europe, hop cultivation has expanded towards southern territories such as Italy over recent decades. Managing phytosanitary threats in Mediterranean climates poses challenges due to limited knowledge and registered agrochemicals. In pursuit of eco-friendly alternatives for disease management, we isolated 262 endophytic fungal strains from wild hop roots, stems, leaves, and flowers. Through phylogenetic analyses, we identified 51 operational taxonomic units. Dominant species such as Ilyonectria macrodidyma, Penicillium sp., Diaporthe columnaris, Plectosphaerella cucumerina, and Fusarium oxysporum were exclusive to roots. In contrast, Alternaria spp. and Epicoccum spp. were prevalent in other tissues, and Botrytis cinerea was exclusively detected in female flowers. We tested seven isolates—Epicoccum sp., Aureobasidium pullulans, Plectosphaerella cucumerina, Stemphylium vesicarium, Periconia byssoides, Talaromyces wortmannii, and Nigrospora sphaerica—against the four phytopathogenic fungi Alternaria sp., Fusarium oxysporum, Botrytis cinerea, and Sclerotinia sclerotiorum. All endophytes exhibited antagonistic effects against at least one pathogen, with Plectosphaerella cucumerina showing the strongest inhibition against Alternaria sp. This study marks the first exploration of endophytic fungi from various hop tissues. All isolated strains were ex situ conserved for future bioactivity assessments and biotechnological applications. Original data with a key relevance for the environmentally friendly management of plant diseases are provided. Full article

Macroseismic intensity data are the only source of information for historical earthquakes; it is therefore necessary to devise methods that allow us to retrieve as many source parameters as possible on the basis of these data. We present the inversion of macroseismic data as a first validation of an improved version of the kinematic function, KF. Following the previous results of some earthquakes on Italian territory and several validations by Californian events provided with instrumental solutions, we have now simplified the KF by reducing some degrees of freedom of the parameters and rearranging the code for parallel calculation. This approach will allow for a more extensive application of the KF technique. We present the inversion of the macroseismic intensity pattern of the M_wp6 earthquake of 27 March 1928 (8:32 GMT), which occurred in Northeastern Italy (Carnia), and we retrieved source parameters that are compatible with the solutions of other authors who independently treat instrumental data. The 1928 event is located a few tens of kilometers west of the more destructive M_w6.5 of 6 May 1976 and northeast of the subsequent earthquake M_wp6.1 of 18 October 1936. The inversion was performed as a blind test, without prior knowledge for fault plane solutions and tectonic information; it resulted in a minimum variance model with a strike of 62°, a dip of 10°, and a rake of 101°. This solution is not consistent with the entire tectonic framework of the eastern Southalpine chain, but it is in agreement with the But-Chiarsò line. This result encourages us to test further improvements to the KF method and to treat other cases from the Italian macroseismic catalog. Full article

Fungal infections (FIs) are widespread globally, affecting both immunocompromised and immunocompetent children, with varying clinical implications based on age and comorbidities. In immunocompromised children, particularly those with hematologic oncological conditions, FI leads to substantially longer hospital stays and increased in-hospital mortality, with reported rates ranging from 15% to 20%. Our study aims to analyze the epidemiological trends of fungal infections in the pediatric population within a specific region of Italy. We extracted ICD-9 codes related to fungal infections from hospital discharge records (HDRs) in the pediatric population of Veneto, located in the north-east of Italy, between 2007 and 2022. We included all children admitted to the hospital with a primary or secondary diagnosis during admission for other reasons. Data were stratified based on age, year, ward of admission, and type of diagnosis. Patients older than eighteen and HDRs related to a second admission within thirty days from the previous admission were excluded. A total of 1433 diagnoses were analyzed during the period, with 241 (16.8%) as main diagnoses and 1192 (83.2%) as secondary diagnoses. The overall hospitalization rate was 1084 cases/100,000 (1.69 cases/100,000 as primary diagnosis and 8.95 cases/100,000 as secondary). The hospitalization rate stratified for age was 11,055 cases/100,000 among infants younger than 1 year, 8.48 cases/100,000 among those aged 1-4 years, and 4.4 cases/100,000 among children older than 5. The more frequent infection was Candida spp. (62.8%), followed by Aspergillus spp. (14.6%) and skin mycosis (9.5%). Overall, the pediatric in-hospital case fatality rate due to FI was 2.09%. Our study elucidated the overall experience of fungal infections in the pediatric population of the Veneto region in Italy. Specifically, we underscored a relatively stable hospitalization rate for fungal diseases and a noteworthy mortality rate. Full article

Earth observation (EO) data are essential for monitoring and planning public policies to achieve Sustainable Development Goals. Despite significant public investments at the European level, the socio-economic impact on public administrations, especially local and regional authorities (LRAs), remains suboptimal. This limited adoption may hinder the enhancement of cities’ and regions’ capability to address climate change and sustainable development effectively. This article aims to (1) map the use of EO data and services by Italian LRAs, (2) investigate barriers to adoption and perceived benefits, and (3) identify influential factors and provide recommendations for adoption. A case study methodology was employed, focusing on Italian LRAs. A survey covering 37 variables across five categories was distributed. Data from 109 respondents indicated an EO data adoption rate of approximately 58%, with higher rates in North-East and Central Italy and among regions compared to cities. EO data are primarily used for land cover and urban planning, with significant applications in climate change management. While LRAs recognise benefits such as time and economic savings and monitoring efficacy, they face many barriers, including exogenous and endogenous factors. This paper delves into these barriers and recommends enhancing EO data adoption among LRAs. Full article

Recently, there has been increasing interest in organic carbon (OC) certification of soil as an incentive for farmers to adopt sustainable agricultural practices. In this context, this pilot project combines geochemical and geophysical methods to map the distribution of OC contents in agricultural fields, allowing us to detect variations in time and space. Here we demonstrated a relationship between soil OC contents estimated in the laboratory and the apparent electrical conductivity (ECa) measured in the field. Specifically, geochemical elemental analyses were used to evaluate the OC content and relative isotopic signature in collected soil samples from a hazelnut orchard in the Emilia–Romagna region of Northeastern Italy, while the geophysical Electromagnetic Induction (EMI) method enabled the in situ mapping of the ECa distribution in the same soil field. According to the results, geochemical and geophysical data were found to be reciprocally related, as both the organic matter and soil moisture were mainly incorporated into the fine sediments (i.e., clay) of the soil. Therefore, such a relation was used to create a map of the OC content distribution in the investigated field, which could be used to monitor the soil C sequestration on small-scale farmland and eventually develop precision agricultural services. In the future, this method could be used by farmers and regional and/or national policymakers to periodically certify the farm’s soil conditions and verify the effectiveness of carbon sequestration. These measures would enable farmers to pursue Common Agricultural Policy (CAP) incentives for the reduction of CO₂ emissions. Full article

Several agri-food byproducts represent valuable sources of compounds to be reutilized for nutritional, nutraceutical, and cosmetic purposes. Examples especially comprise byproducts from the processing of fruits such as pomace, because of their richness in nutrients (e.g., fibers) and bioactive compounds (e.g., polyphenols) that can be destined for animal and human use. However, in agreement with the principles of circular economy that are being promoted during the most recent years, other understudied agri-food byproducts of both plant and animal origin are being evaluated to assess their possible reutilization and valorization. In this review, we aim at summarizing the most recent research dealing with the extraction of nutrients and bioactive compounds from agri-food byproducts using innovative and sustainable approaches. Specifically, the review is focused on byproducts generated in large amounts (tons/year) by the food industry of Northeast Italy, namely, honey, red fruits (grapes and berries), and chicory, which are especially of interest for their content in phenolic acids, flavonoids, anthocyanins, and dietary fiber. The potential applications of these byproducts and extracts in cosmetic, nutraceutical, and nutritional fields are also discussed, referring to the published literature, as well as their potential utilization as sources of novel bioactive compounds with pharmacological applications. Full article

Using a novel joint inversion approach, this study tackles the challenge of accurately characterizing subsurface electrical resistivity in vineyards, a critical and strategic aspect of precision viticulture. For the first time, we integrate 3D Galvanic Contact Resistivity with multi-2D Capacitively Coupled Resistivity data. Conducted in a prestigious Sangiovese vineyard in Montalcino (Tuscany, Italy), the data are analyzed utilizing a single algorithm capable of inverting Capacitively Coupled Resistivity, Galvanic Contact Resistivity, and joint datasets. This approach combines data sensitive to different depths and spatial resolutions, resulting in a comprehensive analysis of soil resistivity variations and moisture distribution, thus providing a detailed and coherent subsurface model. The joint inversion produced a high spatial resolution 3D resistivity model with a density of 20.21 data/m³. This model significantly enhances subsurface characterization, delineating root systems and correlating water distribution with resistivity patterns, showing relative variations sometimes greater than 50%. This method reduced data misfit more effectively than individual inversions and identified a low-resistivity volume (<20 Ω·m), extending from northeast to south, indicating the presence of subsurface water. The systematic alternation of high and low resistivity across vineyard rows highlights the impact of soil management activities on resistivity and supports targeted interventions for vineyard health. Full article