1,721,028 research outputs found
The role of nature in emotion regulation processes: An evidence-based rapid review
Aims
Natural environments have been widely recognized to have many beneficial effects on emotions and emotion regulation processes. However, this mechanism is still largely overlooked in current research and practice, with only a few studies that specifically investigated these processes applying terminology and approaches grounded in the emotion regulation theories. This review explores the literature regarding how nature-related aspects impact on emotion regulation, considering studies based on relevant emotion regulation concepts and language.
The aim is to bridge the nature-health literature with the emotion regulation field, enhancing theoretical development and understanding of the benefits of nature exposure by identifying common terminology and measurement approaches.
Methods
To inform future research with existing evidence, a rapid review of the literature on this topic was conducted in November 2022. In January 2024, an additional literature search was conducted to incorporate recent articles and update the review. Five databases (PsycInfo, PubMed, Google Scholar, Science Direct, PubPsych) were searched for relevant studies reporting effects of nature exposure and other nature-related aspects (e.g., nature connectedness) on emotion regulation processes.
Results
Following the application of inclusion and exclusion criteria, twenty-seven relevant articles were selected for the review. The assessment of emotion regulation and nature-related aspects used in the studies were diverse and the research was heterogeneous; therefore, a narrative synthesis of the results was conducted. Overall, nature exposure appears to have a positive impact on emotion regulation processes in general as well as on specific emotion regulation strategies, such as decreasing rumination and worry, and enhancing the use of adaptive emotion regulation strategies (i.e., mindfulness and cognitive reappraisal). Furthermore, the review indicated that there is an association between nature connectedness and affect regulatory processes, for example emotion regulation and dysregulation have been found to mediate the effects of nature connectedness on perceived stress and happiness.
Conclusions
Despite the variety in the methods adopted by the reviewed studies, most findings reported positive impacts of nature on affect regulatory processes in general, and more particularly on specific strategies of emotion regulation. These findings highlight the importance of further research on this topic and the need for enhanced methodological rigor in study designs and measurements tools to assess the association among individuals’ exposure to nature and the strategies they adopt to regulate their emotions. Achieving greater consistency in the terminology adopted across studies is also crucial for building a cohesive body of knowledge and facilitating evidence accumulation across diverse contexts
Environmental emotion regulation: validation of the “location selection in nature” scale and experimental evidence from 2D video and VR interventions with natural and urban settings
The interplay between nature and human well-being has garnered increasing attention in both academic research and public discourse, particularly in light of rising urbanization and the growing disconnection from natural spaces. This thesis explores the impact of natural environments on emotion regulation—a crucial psychological process influencing mental health and adaptive functioning. Drawing on existing literature supporting nature’s benefits, this research addresses a critical knowledge gap by exploring emotion regulation processes as a potential mechanism through which diverse environmental contexts impact affective outcomes.
Preliminarily, two systematic reviews were conducted on nature’s role in emotion regulation (Review 1) and emotion elicitation through virtual reality (Review 2), aiming to identify gaps in prior literature. Building on these findings, the thesis introduces the novel category of location selection within the Process Model of Emotion Regulation, emphasizing how environmental context shapes emotional responses and management. A scale to measure location selection in natural environments was developed and validated in English (S1-S2), adapted into Italian (S3), and implemented with specific stimuli of natural environments images (S4). Two experimental studies used 2D videos (S5) and virtual reality scenarios (S6) to assess emotional outcomes after negative mood induction, finding that nature significantly reduced negative emotions, with more complex effects on emotion regulation. Collectively, these findings deepen the understanding of how natural environments affect emotion regulation processes, providing important theoretical, empirical, and practical contributions to the field
Introduction to ”Linking Pasts and Sharing Knowledge. Mapping Archaeological Heritage, Legacy Data Integration and Web Technologies for Modelling Historical Landscapes”
Introduction to "Linking Pasts and Sharing Knowledge. Mapping Archaeological Heritage, Legacy Data Integration and Web Technologies for Modelling Historical Landscapes
A numerical prediction of the passive cooling effects on thermal comfort for a historical building in Rome
In recent times, numerical simulations are increasingly gaining ground for the energy savings and thermal comfort evaluation of historical buildings. In the present paper a transient 2D model of the Pavillion 2B of the ex-Mattatoio (past abattoir) in Rome is presented, created by Computer Fluid Dynamics (CFD) software, based on the Finite Element Method (FEM). the simulations take into account time variations and interactions between indoor and outdoor thermal conditions, with the aim of avaluating different usage profiles and estimating passive cooling effects in presence of natural ventilation and high thermal masses. The main goal of this work is to show the CFD numerical models potential in quantifying the cooling effects and the indoor thermal comfort conditions, in order to enhance passive and hybrid strategies based on natural ventilation and nocturnal thermal mass precooling
Numerical modelling of structural cooling in Mediterranean climate
Despite the growing interest in recent times, buildings passive cooling in
the Mediterranean area is a large topic that has not yet been fully
explored.
In the assessment of structural cooling, that is a passive strategy based on
natural ventilation and thermal masses cooling, a dynamic analysis is
required in order to investigate the inertial response of buildings.
For this reason, it seems interesting to investigate the relationship
between simplified physical–mathematical models (multi-zone), currently
very popular, and finite element numerical models (CFD), which solve the
equations of thermofluid dynamics and return a detailed response from
the scientific and computational point of view.
This paper aims to highlight the limitations and potentialities of these
models, in order to evaluate possible methods of integration of both
approaches and related software, in terms of an explicitly temporal–spatial
multiscale approach, to obviate each other’s shortcomings while
providing an accurate evaluation of the inertial response and its effect on
the buildings energy efficiency
The Proper Ki-67 Cut-Off in Hormone Responsive Breast Cancer. A Monoinstitutional Analysis with Long-Term Follow-Up
Introduction: Breast cancer is a heterogeneous disease. Our study focuses on a monoinstitutional series of patients affected by Hormone Responsive carcinomas (luminal A and luminal B) and aims to define an optimal Ki-67 cut-off, to correctly stratify these patients into risk classes, using the ImmunoHistoChemical (IHC) surrogates of the Molecular Subtypes, according to the St. Gallen guidelines. Methods: We analyzed 1685 patients. These patients underwent both radical and conservative surgeries with Sentinel Lymph Node Biopsy eventually followed by Axillary Dissection (AD). Furthermore, all the patients underwent adjuvant therapies according to the guidelines. A retrospective univariate analysis was performed and survival curves (Disease-Related Survival, DRS, and Disease-Free Survival, DFS) were carried out according to the following ki-67 risk classes: Low Risk (Ki-67 ≤ 14%); Intermediate Risk (Ki-67 15% ÷ 20%); High Risk (Ki-67 > 20%). Results: 14 yy DRS was 98% in LA and 85% in LB with a ki-67 cut-off of 14% (p=0.037) vs 95% (LA) and 83% (LB) with a ki-67 cut-off of 20% (p=0.003). 14yy DFS was 85% in LA and 72% in LB with a ki-67 cut-off of 14% (p=0.017) vs 83% (LA) and 66% (LB) with a ki-67 cut-off of 20% (p<0.000). Discussion: Our results confirmed that the 20% Ki-67 cut-off is more reliable in differentiating patients at low or high risk of recurrence and death, and stratifying patients eligible for adjuvant chemotherapy. Thus, despite its poor reproducibility, the identification of the most accurate ki-67 index assumes a pivotal relevance in guiding a tailored strategy among patients with this specific profile of breast cancer, as well as the molecular surrogates, in order to avoid harmful overtreatments
Outcome according to immunohistochemical surrogates of the molecular subtypes in early breast cancer
Recogito-in-a-Box: From Annotation to Digital Edition
Through the combination of two popular approaches in the Digital Humanities – digital editions and semantic annotation – this tutorial will present simple ways to create, analyse and export semantic annotations from texts and images, and publish them online. It will introduce intuitive, user-friendly, open-source tools interwoven in an integrated workflow from Recogito – a free online semantic annotation tool developed by the Pelagios Network – to documents encoded according to the Text Encoding Initiative (TEI) standard. With this tutorial, users interested in semantic annotation and digital editions will learn how to benefit from Recogito’s automatic recognition of named entities, and how to refine them manually, checking the place references against historical gazetteers. They will learn how to create annotations ex novo , check or modify annotations identified by Recogito, and discover how the geo-annotations produced on the text can then be plotted on a digital map. Finally, users will learn how to use Recogito’s export options and, in particular, the TEI format, which will become the starting point of a TEI-based simple minimal edition. As a case study, it will focus on the semantic and geographic annotation of an early Argentinian chronicle called Historia de la Conquista del Río de la Plata , better known as La Argentina Manuscrita , written by Ruy Diaz de Guzman in the early seventeenth century.Fil: del Rio, María Gimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto de Investigaciones Bibliográficas y Crítica Textual. IIBICRIT - Subsede "Seminario Orduna"; ArgentinaFil: Vitale, Valeria. University of London; Reino Unid
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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