ARUd’A (Università “G. d’Annunzio CHIETI -PESCARA)
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Digital Stress-Preventive Management Competencies: Definition, Identification and Tool Development for Research and Practice
No full text: The digital transformation of work and the rise of remote workers (RWs) are gaining growing interest in occupational health science. However, research on managers' role in well-being can be developed more. Aiming to bridge this gap, this study first defines and explores the Digital Stress-Preventive Management Competencies (DMCs) and then develops and validates an indicator tool with a three-phase procedure. Phase 1 consisted of a literature review and interviews with experts to identify DMCs, followed by item generation, content analysis and competencies conceptualization. Phase 2 was devoted to tool validation, comprising exploratory and confirmatory factor analysis with 247 RWs. Phase 3 explored the concurrent validity by investigating the relationship between DMCs and psychosocial factors via structural equation modeling (sample Phase 2) and polynomial regression with response surface analysis on 50 manager-team dyads (RWs 218). Two key competencies were identified: supportive ICT-mediated interaction (SIMI) and avoidance of abusive ICT adoption (AAIA). The final nine-item tool revealed a two-factor structure and good psychometric properties. SIMI was associated with superior support and role, while AAIA was linked to demands and control reported by RWs. These findings suggest that the DMCs identified and the related tool have potential applications in future organizational intervention content and for research purposes
Non-Invasive Characterization of Lower Extremity Deep Vein Thrombosis via Advanced Ultrasound Elastography: A Prospective Pilot Study
No full textDuplex ultrasonography is the preferred non-invasive imaging technique for diagnosing lower extremity deep vein thrombosis (DVT), but considered largely unreliable for determining thrombus-specific features. Elastosonography techniques including real-time strain elastography (RT-SE) are widely used in clinical practice to assess tissue elasticity, but its potential remains largely unrealized in DVT, where RT-SE might provide adjunct information on thrombus biomechanical properties potentially aiding clinical decision-making. This single-center prospective pilot study investigates the use of modern RT-SE imaging enhanced with an advanced quantification software for reconstructive tissue elasticity analysis in patients with symptomatic acute lower-extremity DVT objectively diagnosed within 6 months of enrollment. Between-group differences in median thrombus elasticity, assessed via a newly proposed elasticity biomarker, namely thrombus tissue deformation index, were evaluated using Mann-Whitney U or Kruskal-Wallis tests. Relationships between thrombus elasticity and patient-, DVT- and anticoagulation-related factors were assessed through Spearman's rank-order correlation. Thirty-eight deep venous thrombi were analyzed using advanced RT-SE, in addition to standard duplex ultrasonography (i.e., triplex ultrasonography). Median thrombus elasticity was 25.7% (interquartile range [IQR], 22.1-26.1), 20.8% (IQR, 17.1-22.1), and 3.8% (IQR, 1.3-6.6) in acute, sub-acute, and chronic DVT, respectively (p < 0.001). Thrombus elasticity robustly correlated with the period of DVT diagnosis (i.e., lower elasticity with increasing thrombus chronological age; rho = -0.70, p < 0.0001). Elasticity of chronic thrombi inversely correlated with dynamic changes in residual vein obstruction (i.e., higher elasticity of thrombi undergoing smaller size reduction over time; rho = 0.85, p < 0.0001). These findings preliminarily identify modern advanced RT-SE imaging as a viable and easily-implementable tool for enhanced non-invasive thrombus characterization, with the potential to inform thrombus-guided management strategies in patients with DVT.Graphical AbstractFramework for thrombus elasticity assessment via advanced real-time strain elastography, and potential clinical usefulness of enhanced non-invasive DVT characterization
Il libro delle meraviglie
No full textAntologia del Milione di Marco Polo che si concentra sulle città descritte dal veneziano, ordinate secondo una griglia geometrica ispirata alle Città invisibili di Italo Calvino
Metallo, pietra e legno tra lavoro,produzione ed economia nel lungo VIII secolo
No full textDescrizione del sistema e dello sviluppo dell'artigianato in epoca tardo longobard
An Examination of Assurance Practices on Carbon Emission Disclosures: Evidence From Italy and Spain
Get PDFThis study explores corporate carbon assurance practices through a content analysis of the GHG assurance statements in the TCFD reports from a sample of Italian and Spanish companies listed on the FTSE MIB and IBEX 35 between 2021 and 2023. This study also analyses the reference to carbon information in the assurance statement of nonfinancial reports (NFRs). The results show that the assurance on GHG emissions is an underdeveloped and emerging issue. A three-fold approach can be outlined. The “early movers” companies draw up and assure the TCFD report. The “forthcomings” publish a TCFD report that is not assured. The “latecomers” do not publish a standalone GHG assurance statement but address carbon issues within their NFR assurance statement. Through the lens of legitimacy and signalling theories, this research contributes to understanding trends in GHG assurance and underlines the need to improve the reliability of carbon disclosure to meet stakeholder expectations and comply with the latest advancements in sustainability standards and regulations
Long duration multi-channel surface electromyographic signals during walking at natural pace: Data acquisition and analysis
No full textVariability of myoelectric activity during walking is the result of human capability to adapt to both intrinsic and extrinsic perturbations. The availability of sEMG signals lasting at least some minutes (instead of seconds) is needed to comprehensively analyze the variability of surface electromyographic (sEMG) signals. The current study introduces a dataset of long-lasting sEMG signals recorded during walking sessions of 31 healthy subjects, aged between 20 and 30 years, conducted at the Movement Analysis Lab of Università Politecnica delle Marche, Ancona, Italy. The sEMG signals were captured from ten distinct lower-limb muscles (five per leg), including gastrocnemius lateralis (GL), tibialis anterior (TA), rectus femoris (RF), hamstrings (Ham), and vastus lateralis (VL). Synchronized electrogoniometric and foot-floor-contact signals are also supplied to enable the spatial/ temporal analysis of the sEMG signals. The experimental procedure involves subjects walking barefoot on level ground for approximately 5 minutes at their natural speed and pace, following an eight-shaped path featuring linear diagonal segments, curves, accelerations, and decelerations. An advanced analysis of the sEMG signals was performed to test the reliability and usability of the current dataset. The considerable duration of the signals makes this dataset particularly useful for studies where a significant volume of data is crucial, such as machine/deep learning approaches, investigations examining the variability of muscle recruitment during physiological walking, validations of the reliability of novel sEMG-based algorithms, and assembly of reference datasets for pathological condition characterization
