ARUd’A (Università “G. d’Annunzio CHIETI -PESCARA)
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MuSt Theory in Action for Self-Regulation: A Practical Guide and Case Study
Full text linkThe case study of an elite pistol shooter presented here aims to provide practitioners with a detailed procedure to capture the nuances of the various experiences athletes encounter during their performances and to help them self-regulate under pressure. The procedure is grounded in Multi-States (MuSt) theory, which offers a holistic, dynamic framework to enhance athletic performance. MuSt theory integrates psychobiosocial states with core action components to address athletes’ needs under pressure. Through individualized profiling—encompassing performance level, hedonic valence, and action monitoring/control—athletes are guided to identify and regulate functional and dysfunctional states via emotion- and action-centered self-regulation
Fighting Bleb Fibrosis After Glaucoma Surgery: Updated Focus on Key Players and Novel Targets for Therapy
Full text linkFiltration bleb (FB) fibrosis represents the primary risk factor for glaucoma filtration surgery (GFS) failure. We reviewed the most recent literature on post-GFS fibrosis in humans, focusing on novel molecular pathways and antifibrotic treatments. Three main literature searches were conducted. First, we performed a narrative review of two models of extra-ocular fibrosis, idiopathic pulmonary fibrosis and skin fibrosis, to improve the comprehension of ocular fibrosis. Second, we conducted a systematic review of failed FB features in the PubMed, Embase, and Cochrane Library databases. Selected studies were screened based on the functional state and morphological features of FB. Third, we carried out a narrative review of novel potential antifibrotic molecules. In the systematic review, 11 studies met the criteria for analysis. Immunohistochemistry and genomics deemed SPARC and transglutaminases to be important for tissue remodeling and attributed pivotal roles to TGFβ and M2c macrophages in promoting FB fibrosis. Four major mechanisms were identified in the FB failure process: inflammation, fibroblast proliferation and myofibroblast conversion, vascularization, and tissue remodeling. On this basis, an updated model of FB fibrosis was described. Among the pharmacological options, particular attention was given to nintedanib, pirfenidone, and rapamycin, which are used in skin and pulmonary fibrosis, since their promising effects are demonstrated in experimental models of FB fibrosis. Based on the most recent literature, modern patho-physiological models of FB fibrosis should consider TGFβ and M2c macrophages as pivotal players and favorite targets for therapy, while research on antifibrotic strategies should clinically investigate medications utilized in the management of extra-ocular fibrosis
Comprehensive insights into peripheral artery disease: an overview from the working groups of pathogenesis of atherosclerosis and thrombosis of the Italian Society of Cardiology
No full textPeripheral artery disease (PAD) is a global health burden due to its high prevalence, morbidity, and mortality. It affects more than 200 million people worldwide. PAD is a manifestation of systemic atherosclerosis that is often associated with coronary and cerebrovascular disease, underscoring its crucial role as an indicator of advanced vascular pathology. Despite its strong association with cardiovascular morbidity, PAD remains underdiagnosed and undertreated compared with coronary artery disease (CAD), highlighting a significant gap in care. Patients with PAD are at increased risk of myocardial infarction (MI), stroke, and limb amputation, so a multidisciplinary approach is required to reduce adverse outcomes. Identifying at-risk patients through early screening and implementing evidence-based therapeutic strategies is crucial in treating PAD. Modern lipid-lowering agents, dual antithrombotic therapies, and aggressive risk factor control are essential treatment components. Recent advances, including PCSK9 inhibitors and novel antiplatelet agents, have shown promise for improving cardiovascular and limb-related outcomes, although further validation is needed. Given the systemic nature of atherosclerosis, managing PAD should be a cornerstone of cardiovascular care, requiring individualised treatment plans. Increasing awareness and understanding of PAD is critical to bridging gaps in diagnosis and treatment to improve the overall prognosis and quality of life of patients with this debilitating disease. This work aims to enhance practical approaches to PAD by providing comprehensive insights into its management and offering a foundation for exploring innovative future treatment options
The Reporting of Diversity, Equity, and Inclusion by Nonprofit Organizations. First Evidence from the Literature
No full textThis chapter explores the intersection of diversity, equity, and inclusion (DEI) reporting in nonprofit organizations (NPOs). It aims to bridge the gap in scholarly research on how NPOs address DEI in their performance measurement, accountability, and transparency. Through a scoping review methodology, the chapter identifies existing literature that examines how DEI influences nonprofit governance, leadership, and organizational strategies. Key questions addressed include the prevalence of academic research on DEI reporting in NPOs and the main thematic aspects and keywords related to this area. The findings reveal a growing interest in DEI reporting, especially after 2019, with a focus on governance, such as board diversity and CEO characteristics, accountability mechanisms, and impact evaluation. The chapter also highlights the significance of DEI for NPOs in terms of improving organizational outcomes, enhancing stakeholder trust, and increasing funder appeal. The review emphasizes the need for further empirical studies and suggests future research directions, including case studies and content analyses of nonprofit reports, to better understand DEI integration and its challenges in nonprofit reporting frameworks
Environmental quality analysis in school environment by measurements and numerical methods
No full textEnergy consumption and its consequences are inevitable in modern-age human activities, particularly in the school environment. School buildings require significant energy inputs for heating and air-conditioning, and the majority of the occupants are adolescent students, whose health and cognitive performance are vulnerable to poor indoor air quality (IAQ), thermal discomfort and acoustic noise sources. The present study employs measurements and numerical methods to improve Indoor Environmental Quality (IEQ) and reduce energy consumption in school buildings. Accurate measurements enable the quantification of various environmental parameters, from indoor air pollutants to temperature and relative humidity levels. These measurements form the basis for informed decision-making and interventions to improve the environment. Numerical methods, on the other hand, offer a means to model and simulate the impact of different factors on environmental quality. Advanced computational tools allow for the assessment of scenarios, enabling stakeholders to identify optimal solutions for achieving and maintaining high standards of environmental quality in schools
Disegnare l’Habitat fra ricerca e didattica. Una Rappresentazione in “Sette Colonne” /Drawing the Habitat between Research and Education. A Representation in ‘Seven Columns’.
No full textNell’ambito degli studi sulla Rappresentazione dell’Habitat, emerge sempre più
la necessità di approfondire metodi e tecniche del disegno che, a partire dalle
storiche conoscenze disciplinari, possano innescare ulteriori sperimentazioni
e affrontare le multiformi sfide che la complessità contemporanea – dalla crisi
climatica, alla transizione energetica fino alla sostenibilità – pone agli studiosi.
La ricerca presentata sintetizza gli esiti di uno studio che affronta il tema della
rappresentazione dell’ambiente soprattutto dal punto di vista degli obiettivi didattici
di un nuovo insegnamento di ‘Disegno dell’Habitat’ al primo anno del Corso di
Laurea triennale in ‘Scienze dell’Habitat Sostenibile’
Learn, Stay, Work and Play. The “Third Place” of Amsterdam’s Architectures of (Hybrid) Hospitality
No full text
A Comparative Analysis of Artificial Intelligence Methods for Air Quality Prediction on Construction Sites
No full textThis study focuses on predicting air pollutants on construction sites, which is an essential aspect for preserving the health of workers and people who live nearby. We carried out through data pre-processing, handling missing values and transforming categorical variables. The focus is forecasting different key air pollutants like PM2.5, PM10, SO2, NO, CO2, and O3. Hence, to achieve this, we compare different statistical, machine learning and deep learning approaches. The novelties of the proposed work from the previous works are: (i) the prediction of multiple pollutants, (ii) the use of multiple predictive models, and (iii) a larger prediction window of 12 hours. We compare the models by computing the Root Mean Squared Error and the R2 to assess their performances. This study provides a comparative analysis of well-known models in the literature for predicting air quality in construction sites. In conclusion, the findings show that training LSTM models can significantly enhance air pollution predictions, providing valuable insights for improving environmental monitoring and forecasting accuracy