Human values and beliefs and concern about climate change: a Bayesian longitudinal analysis

The aim of this study was to investigate the influence of human values on beliefs and concern about climate change using a longitudinal design and Bayesian analysis. A sample of 298 undergraduate/master students filled out the same questionnaire on two occasions at an interval of 2\ua0months. The questionnaire included measures of beliefs and concern about climate change (i.e., perceived consequences, risk perception, and skepticism) and human values (i.e., the Portrait Values Questionnaire). After controlling for gender and the respective baseline score, universalism at Time 1 was associated with higher levels of perceived consequences of climate change and lower levels of climate change skepticism. Self-direction at Time 1 predicted Time 2 climate change risk perception and perceived consequences of climate change. Hedonism at Time 1 was associated with Time 2 climate change risk perception. The other human values at Time 1 were not associated with any of the measures of beliefs and concern about climate change at Time 2. The results of this study suggest that a focus on universalism and self-direction values seems to be a more successful approach to stimulate public engagement with climate change than a focus on other human values

Social Well-Being and Pro-Environmental Behavior: A Cross-Lagged Panel Design

The main aim of this study was to investigate the bidirectional relationship between social well-being and energy conservation behavior as a form of pro-environmental behavior. Participants were 298 undergraduate and masters students at an Italian public university. We applied structural equation modeling with two waves of survey data from a cross-lagged panel design to investigate reciprocal relationships between latent variables representing social well-being and pro-environmental behavior. Results showed that pro-environmental behavior at baseline predicted later social well-being controlling for the effects of baseline social well-being. Conversely, social well-being at baseline predicted subsequent levels of pro-environmental behavior controlling for previous levels of pro-environmental behavior. Results were compared using multi-group invariance testing of paths across gender. These relationships did not differ between men and women. Together, these findings suggest that a bidirectional relationship between social well-being and pro-environmental behavior is supported

Laparoscopic simple prostatectomy vs bipolar plasma enucleation of the prostate in large benign prostatic hyperplasia. a two-center 3-year comparison

Purpose: To compare surgery outcomes and safety of button bipolar enucleation of the prostate vs laparoscopic simple prostatectomy in patients with large prostates (> 80 g) in a two-center cohort study. Methods: All patients with lower urinary tract symptoms due to benign prostatic enlargement (Prostate volume > 80 cc) undergoing button bipolar enucleation of the prostate (BTUEP) or laparoscopic simple prostatectomy (LSP) in two centers were enrolled. Data on clinical history, physical examination, urinary symptoms, uroflowmetry and prostate volume were collected at 0, 1, 3 6, 12, 24 and 36 months. Early and long-term complications were recorded. Results: Overall, 296 patients were enrolled. Out of them, 167/296 (56%) performed a LSP and 129/296 (44%) performed a BTUEP. In terms of efficacy both procedures showed durable results at three years with a reintervention rate of 8% in the LSP group and of 5% in the BTUEP group. In terms of safety, BTUEP and LSP presented similar safety profiles with a 9% of transfusion rate and no major complications. Conclusion: LSP and BTUEP are safe and effective in treating large-volume adenomas with durable results at three years when performed in experienced centers

Application of average volume assured pressure support (AVAPS) and ultrasound assessment in COVID-19 infection: real-life observation.

BACKGROUND: ARDS in COVID-19 patients admitted to Emergency Departments (ED) is characterized by reduced diaphragm motility and increased work of breathing (WOB) by accessory respiratory muscles. Reduced perfusion of compliant lungs as consequence of vascular abnormalities has been highlighted as possible explanation of typical hypoxemia. Non-invasive mechanical ventilation (NIMV) has been proposed to treat ARDS. AVAPS is a hybrid modality of NIMV combining features of pressure and volume ventilation. METHODS: we enrolled 38 patients with COVID-19 ARDS to whom we applied NIMV with AVAPS modality. We assessed Tidal Volume (TV), diaphragm excursion (DE) and PaO2/FiO2 before starting NIMV and after three (T3) and six hours (T6) of ventilation. RESULTS: Admissions to ICU were avoided in 68% of our patients. TV (627±147.6 vs. 747.1±226 mL, P<0.00005) and DE (21.8±5.4 vs. 17.9±6.1 mm, P<0.00005) already improved after three hours of AVAPS. TV (521.5±120 mL, P<0.00005), DE (25.8±6.9 mm, P<0.00005) and PaO2/FiO2 (197.3±75.3 vs. 158±67.7, P<0.005) significantly improved in our cohort of patients after six hours. CONCLUSIONS: NIMV with AVAPS modality can be confidently used in the clinical management of COVID-19 patients with ARDS, since AVAPS has positive effects on ventilation-perfusion matching and WOB. We recommend low PEEP value and ultrasound assessment of diaphragm motility and lung characteristics, although further studies are needed to individuate clinical features of NIMV best-responder patients

The role of chest CT in deciphering interstitial lung involvement: systemic sclerosis versus COVID-19

Objective: The aim of this study was to identify the main CT features that may help in distinguishing a progression of interstitial lung disease (ILD) secondary to SSc from COVID-19 pneumonia. // Methods: This multicentric study included 22 international readers grouped into a radiologist group (RADs) and a non-radiologist group (nRADs). A total of 99 patients, 52 with COVID-19 and 47 with SSc-ILD, were included in the study. // Results: Fibrosis inside focal ground-glass opacities (GGOs) in the upper lobes; fibrosis in the lower lobe GGOs; reticulations in lower lobes (especially if bilateral and symmetrical or associated with signs of fibrosis) were the CT features most frequently associated with SSc-ILD. The CT features most frequently associated with COVID- 19 pneumonia were: consolidation (CONS) in the lower lobes, CONS with peripheral (both central/peripheral or patchy distributions), anterior and posterior CONS and rounded-shaped GGOs in the lower lobes. After multivariate analysis, the presence of CONs in the lower lobes (P < 0.0001) and signs of fibrosis in GGOs in the lower lobes (P < 0.0001) remained independently associated with COVID-19 pneumonia and SSc-ILD, respectively. A predictive score was created that was positively associated with COVID-19 diagnosis (96.1% sensitivity and 83.3% specificity). // Conclusion: CT diagnosis differentiating between COVID-19 pneumonia and SSc-ILD is possible through a combination of the proposed score and radiologic expertise. The presence of consolidation in the lower lobes may suggest COVID-19 pneumonia, while the presence of fibrosis inside GGOs may indicate SSc-ILD

The role of chest CT in deciphering interstitial lung involvement: systemic sclerosis versus COVID-19

Objective: The aim of this study was to identify the main CT features that may help in distinguishing a progression of interstitial lung disease (ILD) secondary to SSc from COVID-19 pneumonia. Methods: This multicentric study included 22 international readers grouped into a radiologist group (RADs) and a non-radiologist group (nRADs). A total of 99 patients, 52 with COVID-19 and 47 with SSc-ILD, were included in the study. Results: Fibrosis inside focal ground-glass opacities (GGOs) in the upper lobes; fibrosis in the lower lobe GGOs; reticulations in lower lobes (especially if bilateral and symmetrical or associated with signs of fibrosis) were the CT features most frequently associated with SSc-ILD. The CT features most frequently associated with COVID- 19 pneumonia were: consolidation (CONS) in the lower lobes, CONS with peripheral (both central/peripheral or patchy distributions), anterior and posterior CONS and rounded-shaped GGOs in the lower lobes. After multivariate analysis, the presence of CONs in the lower lobes (P < 0.0001) and signs of fibrosis in GGOs in the lower lobes (P < 0.0001) remained independently associated with COVID-19 pneumonia and SSc-ILD, respectively. A predictive score was created that was positively associated with COVID-19 diagnosis (96.1% sensitivity and 83.3% specificity). Conclusion: CT diagnosis differentiating between COVID-19 pneumonia and SSc-ILD is possible through a combination of the proposed score and radiologic expertise. The presence of consolidation in the lower lobes may suggest COVID-19 pneumonia, while the presence of fibrosis inside GGOs may indicate SSc-ILD

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges