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statistic 0.4196, p = 0.009), which was consistent with the results of the canonical correspondence analysis.Background In the Lombardy Region, Italy, HPV vaccination is recommended and offered free of charge to 12-years-old males since 2017. The expected vaccination thresholds are still far to be reached. Methods A cross-sectional survey to investigate parents' attitudes towards the HPV vaccine and knowledge about HPV was administered to parents of boys aged 6 to 18 years attending a large pediatric hospital for outpatient specialistic evaluations. Two parallel multiple logistic regression analyses were conducted to estimate the odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) for attitude towards HPV vaccination and perceived need for more information about HPV vaccination. Results A positive attitude towards HPV vaccination was found in 74% of interviewed parents. Knowledge of HPV, having a generally positive attitude toward vaccination, and mothers filling in the survey were positively associated with a positive attitude to the HPV vaccine. Parents' perceived need for more information about HPV vaccination was positively associated with the child's age, general positive attitude toward vaccination, Christian religion, and positive attitude toward HPV vaccination; knowing that HPV vaccination is free of charge significantly reduced the risk of asking for more information on HPV vaccination. Conclusions The majority of parents of male children and adolescents in our study have a positive attitude toward HPV vaccination. selleck kinase inhibitor Attitude toward HPV vaccination and perceived need for more information on HPV vaccination were directly related to a positive attitude toward vaccines in general. In addition, knowledge of HPV and related pathologies favors a positive attitude toward HPV vaccination. Future health programs should target an even wider diffusion of evidence-based information on vaccines in general and on the HPV vaccine in young males, to support a positive attitude toward vaccines in the general population.The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluated using Italian posts regarding COVID-19 from 25 February to 4 May 2020. Considering 4,988,255 tweets, results highlight that emotions changed significantly over time with anger, disgust, fear, and sadness showing a downward trend, while joy, trust, anticipation, and surprise increased. The trend of emotions correlated significantly with national variation in confirmed cases and reports on the violations of restrictive measures. The study highlights the potential of using SM to assess emotional and behavioural reactions, delineating their possible contribution to the establishment of a decision management system during emergencies.Road traffic accidents result in injury or even death of passengers. One potential cause of these accidents is mechanical failures due to a lack of vehicle maintenance. In the quest to identify these mechanical failures, this paper aims to set up the procedure to identify the mechanical failures that contribute to traffic accidents in cities located in developing countries, including the city of Cuenca-Ecuador. For present research, a database provided by the entity responsible for the Vehicle Technical Inspection, the Empresa Pública Municipal de Movilidad, Tránsito y Transporte and for the ones responsible of managing traffic accident data, Oficina de Investigación de Accidentes de Tránsito and Sección de Investigación de Accidentes de Tránsito was used. The vehicle subcategories M1 and M3 (bus type) and N1, so named according to Ecuadorian technical standards, were considered the most relevant regarding accident rates. The database was analysed with descriptive statistics, a Pareto chart and time series with the quadratic trend. From this analysis, the most significant failures found in the VTI in all three subcategories were the alignment of the driver headlight, both horizontal and vertical, braking imbalance on the 2nd axle, insufficient tire tread and parking brake effectiveness. All these failures showed a decreasing trend over time and in the forecast at a maximum of two to three years. The most relevant causes of road accidents recorded during the period 2009-2018 related to mechanical failures were the braking system (65.5%) and the steering system (17.2%) for subcategory M1.
During the COVID-19 pandemic, dental education institutions throughout the world experienced significant challenges, including a quick shift to an online learning paradigm. Since the pandemic has had a considerable impact on dental education, this research evaluated the perspectives and attitudes towards online learning among undergraduate dental students in Bangladesh.

The research was conducted through a cross-sectional method using self-administered online questionnaires. The questionnaire included information on the students' sociodemographic status, their views, and their attitudes about the changes in the educational system, specifically regarding online learning. The study gathered data from 952 undergraduate students from 14 dental institutions in Bangladesh.

The results suggested that 87.5% of all the students were unsatisfied with their online programs. Most of the respondents who expressed dissatisfaction with their online classes were female, did not receive assistance in overcoming barriersaining were found to be strongly correlated with the students' discontent. The overall findings highlight the need to develop and implement effective online dentistry educational interventions to promote academic advancement and key practical skills.The SARS-CoV-2 virus, which is driving the current COVID-19 epidemic, has been detected in wastewater and is being utilized as a surveillance tool to establish an early warning system to aid in the management and prevention of future pandemics. qPCR is the method usually used to detect SARS-CoV-2 in wastewater. There has been no study using an immunoassay that is less laboratory-intensive than qPCR with a shorter turnaround time. Therefore, we aimed to evaluate the performance of an automated chemiluminescence enzyme immunoassay (CLEIA) for SARS-CoV-2 antigen in wastewater. The CLEIA assay achieved 100% sensitivity and 66.7% specificity in a field-captured wastewater sample compared to the gold standard RT-qPCR. Our early findings suggest that the SARS-CoV-2 antigen can be identified in wastewater samples using an automated CLEIA, reducing the turnaround time and improving the performance of SARS-CoV-2 wastewater monitoring during the pandemic.Background Research suggested that the COVID-19 pandemic-related restrictions decreased sexual function and satisfaction. The present study examines the direct relationship between sexual satisfaction and restrictions during the second wave of the COVID-19 pandemic. Methods A cross-sectional study was performed in Poland between 3 September 2020 and 18 January 2021. A convenience sample of 1364 adults, aged 18-67 (M = 25.13, SD = 6.45), among whom 62.39% were women, and 23.17% were single, completed anonymous web-based survey. The Sexual Satisfaction Questionnaire (SSQ) and Stringency Index (IS) were used to assess sexual satisfaction and the level of restrictions during the pandemic, respectively. Results No direct association was found between sexual satisfaction and the level of restrictions during the lockdown. Sexual satisfaction was significantly worse among single participants than those living in a couple. No gender differences were found in sexual satisfaction. Conclusions Future studies should examine an indirect association between sexual satisfaction and restrictions during the pandemic via stress and anxiety. Single relationship status should be considered a risk factor for sexual satisfaction, so single individuals should be a target group for prevention programs during the pandemic.The integrated use of remote sensing technology and machine learning models to evaluate cultivated land quality (CLQ) quickly and efficiently is vital for protecting these lands. The effectiveness of machine-learning methods can be profoundly influenced by training samples. However, in the existing research, samples have mainly been constructed by random point (RPO). Little attention has been devoted to the optimization of sample construction, which may affect the accuracy of evaluation results. In this study, we present two optimization methods for sample construction of random patch (RPA) and area sequence patch (ASP). Differing from RPO samples, it aims to include cultivated land area and its size into sample construction. Based on landsat-8 Operational Land Manager images and agricultural land grading data, the proposed sample construction methods were applied to the machine learning model to predict the CLQ in Dongtai City, Jiangsu Province, China. Four machine learning models (the backpropagation neural network, decision tree, random forest (RF), and support vector machine) were compared based on RPO samples to determine the accurate evaluation model. The best machine learning model was selected to compare RPA and ASP samples with RPO samples. Results determined that the RF model generated the highest accuracy. Meanwhile, a high correlation was noted between the cultivated land area and CLQ. Thus, incorporating cultivated land area in the sample construction attributes can improve the prediction accuracy of the model. Among the three sample construction methods, the ASP yielded the highest prediction accuracy, indicating that the use of a large, cultivated land patch as the sample unit can further elevate the model performance. This study provides a new sample construction method for predicting CLQ using a machine learning model, as well as providing a reference for related research.Telehealth promises increased access to hearing healthcare services, primarily in areas where hearing healthcare resources are limited, such as within the South African public healthcare system. Telehealth for hearing healthcare is especially important during the COVID-19 pandemic, where physical distancing has been essential. This study aimed to describe audiologists' perceptions regarding telehealth services for hearing loss within South Africa's public healthcare system. This study was divided into two phases. During Phase 1, 97 audiologists completed an electronic survey regarding their perceptions of telehealth for hearing loss within South African public sector hospitals. Synchronous virtual focus-group discussions were conducted during Phase 2. Results indicated that audiologists recognized telehealth services' potential to improve hearing healthcare efficiency within the public sector, and most (84.1%) were willing to use it. However, telehealth's actual uptake was low despite almost doubling during the COVID-19 pandemic.
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