Studi e ricostruzioni del Tempio G di Selinunte

Il tempio G di Selinunte, uno dei più grandi templi dorici di Sicilia, è oggi un immenso cumulo di macerie. Il rilievo del tempio, condotto con metodi laser scanning e fotogrammetrici, ha costituito la base per l'analisi e la ricomposizione virtuale di alcune parti del tempio, condotta con il supporto della lettura archeologica delle tecniche costruttive e dei metodi di lavorazione dei blocchi

Penile Prosthesis: What Should We Do about Complications?

Even in the era of phoshodiesterase type 5 inhibitors, penile implants are considered the definitive solution for the treatment of organic erectile disfunction. The advent of new surgical tools and new infection-resistant materials has significantly reduced the risk of intra and post-operative complications and the need for revision surgery. Various companies have also improved their mechanical systems in order to reduce the risk of failures, and their products are now so good they may last lifelong. In this article, we evaluate the intraoperative and postoperative complications recorded in our experience and in literature reports, and make some suggestions as to how to prevent or correct them

A clustering approach and a rule of thumb for risk aggregation

The problem of establishing reliable estimates or bounds for the (T)VaR of a joint risk portfolio is a relevant subject in connection with the computation of total economic capital in the Basel regulatory framework for the finance sector as well as with the Solvency regulations for the insurance sector. In the computation of total economic capital, a financial institution faces a considerable amount of model uncertainty related to the estimation of the interdependence amongst the marginal risks. In this paper, we propose to apply a clustering procedure in order to partition a risk portfolio into independent subgroups of positively dependent risks. Based on available data, the portfolio partition so obtained can be statistically validated and allows for a reduction of capital and the corresponding model uncertainty. We illustrate the proposed methodology in a simulation study and two case studies considering an Operational and a Market Risk portfolio. A rule of thumb stems from the various examples proposed: in a mathematical model where the risk portfolio is split into independent subsets with comonotonic dependence within, the smallest VaR-based capital estimate (at the high regulatory probability levels typically used) is produced by assuming that the infinite-mean risks are comonotonic and the finite-mean risks are independent. The largest VaR estimate is instead generated by obtaining the maximum number of independent infinite-mean sums

THE BEHAVE APPLICATION: AN EVIDENCE-BASED TOOL TO MANAGE SOCIAL EMOTIONAL BEHAVIOURAL DIFFICULTIES

Social Emotional and Behavioural Difficulties (SEBD) are a persistent and multiple manifestation of maladaptive behaviours which interfere with the students’ learning, social functioning and development and/or that of their peers. They may become apparent through withdrawn, passive, aggressive or self-injurious tendencies. The prevalence of these disorders is 2-16% of the general population. Children with SEBD, diagnosed or not, are likely to live in social isolation, to receive a poor education, and they risk becoming deviant teenagers, or unemployed adults. A way to approach SEBD with consistent level of educational success is to equip teachers with proper training on practical and proven classroom management strategies, but also with evidence-based tools that can help them to effectively control difficult behaviours with confidence and competence. This contribution presents the web-based BEHAVE application aimed to ease the way for teachers to apply behavioural evidence-based interventions at school. The paper describes the main features of the BEHAVE application: the definition of the behaviour to be observed, the creation and selection of appropriate measures, the collection of behavioural data, and the statistical analysis to evaluate the direction and the power of the effect of the carried-out intervention

Liquid biopsy in clear cell renal cell carcinoma. Urinary miR-210-3p as emerging specific biomarker

Themost common subtype of renal cell carcinoma (RCC) is clear cell RCC (ccRCC) that accounts for 70–80% of all renal malignancies. To date, no useful markers are available in clinical practice for early diagnosis and for optimal patient stratification. MicroRNAs, a class of small non-coding RNA, are emerging as promising molecules in the management of urological tumors suggesting the possibility of using them as non-invasive biomarkers. The aim of this study is to evaluate whether miR-210-3p may be an accurate non invasive diagnostic and prognostic biomarker for ccRCC patients

THE BASE SYSTEM: A SCHOOL-WIDE POSITIVE BEHAVIOUR SUPPORT TOOL TO FACILITATE EVIDENCE-BASED DIGITAL INTERVENTION PRACTICES

The Positive Behaviour Intervention and Support system is a framework aimed to introduce a change at school-wide level. It promotes a disciplinary system change process, from a reactive punishment- based strategies of specific student misbehaviours to a proactive system, where different behavioural principles such as the modelling and reinforcement of positive prosocial students’ behaviours are applied to improve school values and to create a positive climate. This paper presents the Behavioural Assessment to improve School Environment (BASE) system and the BASE repository. The BASE system supports evidence-based digital intervention practices for stimulating the academic, social, emotional, and behavioural competencies of all students. The BASE repository is a collection of good practices, tools, and instructional contents. Both of the tools are able to support and facilitate, through the use of mobile devices and a web-based responsive system, different prevention and instructional practices at the three-tiers PBS model. At the first level of prevention (Tier 1) the system allows to the school PBS team to define the Expectation Matrix, a set of positive behaviours grouped according to predefined school values and locations. Moreover, the PBS team members are able to define the list of problem behaviours, classifying them in minor and major. The matrix and the list of minor and major problem behaviours are at the base of the development of a screening tool for identifying behavioural risk problems, the Positive Office Referral and the Office Disciplinary Referral tools. At the target prevention level (Tier 2) the BASE application provides the Check-in/Check-out (CICO) tool, as PBIS recommends. It is addressed to a targeted group of students, resulted unresponsive to the Tier I, and implements the practice of ‘Positive reinforcement contingent on meeting behavioural goals’ throughout a reward system. At the intensive prevention level (Tier 3) the system allows users to perform Functional Behaviour Assessment for students considered unresponsive to Tier I and II and to create customized measurement tools for designing single case studies. The measure can be assigned to the observers able to collect data and organize them in phases. A TAU analysis algorithm is applied to the gathered data for showing the effectiveness of intervention. In the BASE application, each student can access to the system with personal credentials and to visualize his significant progresses into a smart dashboard. The BASE repository represents a hub for digital resources collection concerning both theoretical and methodological aspects of the PBIS approach. The Internet users interested to know the European experience of the involved partner schools, and to enlarge their knowledge about the principles to implement the PBIS in their own school, can find a first set of multimedia contents, webinars, collection of good practices gathered during the lifespan of the European Erasmus+ BASE project. The repository facilitates the finding of high-quality contents and represents a learning corner and an important knowledge repository for teachers and health professionals to understand and apply this approach

Collagenase clostridium histolyticum for the treatment of Peyronie's disease: a prospective Italian multicentric study

Peyronie's disease (PD) is a common condition which results in penile curvature making sexual intercourse difficult or impossible. Collagenase clostridium histolyticum (CCH) is the first licensed drug for the treatment of PD and is indicated in patients with palpable plaque and curvature deformity of at least 30° of curvature. However, only few monocentric studies are available in the current literature and this is the first national multicentric study focusing on this new treatment. In five Italian centres, 135 patients have completed the treatment with three injections of CCH using Ralph's shortened modified protocol. The protocol consisted of three intralesional injections of CCH (0.9 mg) given at 4-weekly intervals in addiction to a combination of home modelling, stretching and a vacuum device on a daily basis. An improvement in the angle of curvature was recorded in 128/135 patients (94.8%) by a mean (range) of 19.1 (0–40)° or 42.9 (0–67)% from baseline (p < 0.001). There was also a statistically significant improvement in all IIEF and PDQ questionnaires subdomains (p < 0.001 in all subdomains). This prospective multicentric study confirms that the three-injection protocol is effective enough to achieve a good result and to minimize the cost of the treatment

Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries

Voluntary isolation is one of the most effective methods for individuals to help prevent the transmission of diseases such as COVID-19. Understanding why people leave their homes when advised not to do so and identifying what contextual factors predict this non-compliant behavior is essential for policymakers and public health officials. To provide insight on these factors, we collected data from 42,169 individuals across 16 countries. Participants responded to items inquiring about their socio-cultural environment, such as the adherence of fellow citizens, as well as their mental states, such as their level of loneliness and boredom. We trained random forest models to predict whether someone had left their home during a one-week period during which they were asked to voluntarily isolate themselves. The analyses indicated that overall, an increase in the feeling of being caged leads to an increased probability of leaving home. In addition, an increased feeling of responsibility and an increased fear of getting infected decreased the probability of leaving home. The models predicted compliance behavior with between 54% and 91% accuracy within each country’s sample. In addition, we modeled factors leading to risky behavior in the pandemic context. We observed an increased probability of visiting risky places as both the anticipated number of people and the importance of the activity increased. Conversely, the probability of visiting risky places increased as the perceived putative effectiveness of social distancing decreased. The variance explained in our models predicting risk ranged from < .01 to .54 by country. Together, our findings can inform behavioral interventions to increase adherence to lockdown recommendations in pandemic conditions.info:eu-repo/semantics/publishedVersio

Predictors of enhancing human physical attractiveness: Data from 93 countries

People across the world and throughout history have gone to great lengths to enhance their physical appearance. Evolutionary psychologists and ethologists have largely attempted to explain this phenomenon via mating preferences and strategies. Here, we test one of the most popular evolutionary hypotheses for beauty-enhancing behaviors, drawn from mating market and parasite stress perspectives, in a large cross-cultural sample. We also test hypotheses drawn from other influential and non-mutually exclusive theoretical frameworks, from biosocial role theory to a cultural media perspective. Survey data from 93,158 human participants across 93 countries provide evidence that behaviors such as applying makeup or using other cosmetics, hair grooming, clothing style, caring for body hygiene, and exercising or following a specific diet for the specific purpose of improving one physical attractiveness, are universal. Indeed, 99% of participants reported spending >10 min a day performing beauty-enhancing behaviors. The results largely support evolutionary hypotheses: more time was spent enhancing beauty by women (almost 4 h a day, on average) than by men (3.6 h a day), by the youngest participants (and contrary to predictions, also the oldest), by those with a relatively more severe history of infectious diseases, and by participants currently dating compared to those in established relationships. The strongest predictor of attractiveness-enhancing behaviors was social media usage. Other predictors, in order of effect size, included adhering to traditional gender roles, residing in countries with less gender equality, considering oneself as highly attractive or, conversely, highly unattractive, TV watching time, higher socioeconomic status, right-wing political beliefs, a lower level of education, and personal individualistic attitudes. This study provides novel insight into universal beauty-enhancing behaviors by unifying evolutionary theory with several other complementary perspectives.info:eu-repo/semantics/publishedVersio

Predictors of enhancing human physical attractiveness: Data from 93 countries

People across the world and throughout history have gone to great lengths to enhance their physical appearance. Evolutionary psychologists and ethologists have largely attempted to explain this phenomenon via mating preferences and strategies. Here, we test one of the most popular evolutionary hypotheses for beauty-enhancing behaviors, drawn from mating market and parasite stress perspectives, in a large cross-cultural sample. We also test hypotheses drawn from other influential and non-mutually exclusive theoretical frameworks, from biosocial role theory to a cultural media perspective. Survey data from 93,158 human participants across 93 countries provide evidence that behaviors such as applying makeup or using other cosmetics, hair grooming, clothing style, caring for body hygiene, and exercising or following a specific diet for the specific purpose of improving ones physical attractiveness, are universal. Indeed, 99% of participants reported spending &gt;10 min a day performing beauty-enhancing behaviors. The results largely support evolutionary hypotheses: more time was spent enhancing beauty by women (almost 4 h a day, on average) than by men (3.6 h a day), by the youngest participants (and contrary to predictions, also the oldest), by those with a relatively more severe history of infectious diseases, and by participants currently dating compared to those in established relationships. The strongest predictor of attractiveness-enhancing behaviors was social media usage. Other predictors, in order of effect size, included adhering to traditional gender roles, residing in countries with less gender equality, considering oneself as highly attractive or, conversely, highly unattractive, TV watching time, higher socioeconomic status, right-wing political beliefs, a lower level of education, and personal individualistic attitudes. This study provides novel insight into universal beauty-enhancing behaviors by unifying evolutionary theory with several other complementary perspectives