Changes In Means Research Articles

Capacity of the U.S. federal system for cultural heritage to meet challenges of climate change

The U.S. federal government is unbalanced in its capacity to recognize, manage, and engage cultural heritage as part of its response to climate change. Legislation from the 1906 Antiquities Act to Executive Order (EO) 13990 signed in 2021 has set an overarching approach in which heritage is understood to be primarily tangible places and things that should be conserved, foremost through monument and park boundaries and significance designations. Such conservation, however, does not protect heritage from impacts of climate change and how to manage these components of heritage is nearly invisible in recent climate-focused publications of the two agencies assigned by legislation to serve as leads for cultural heritage in the U.S. government. Yet further, the long-standing tangible approach to heritage does not incorporate emerging understandings of its intangible components and the diverse connections of all forms of heritage to place, meaning, identity, and global change goals of sustainability and equity. In contrast, analysis of 27 federal agency climate adaptation plans prepared in response to 2021 EO 14008 shows that multiple agencies not assigned lead roles for heritage recognize a range of responsibilities that include heritage as part of climate adaptation, mitigation, equity, and coordination with Indigenous communities. This paper explores U.S. heritage legislative history, the definition it helped create for heritage, more recent understandings of heritage, and relationships of these to climate change and how these are represented in climate work and plans across U.S. federal agencies. On these bases, recommendations are provided for research and policy steps.

Pyraingen: A python package for constrained continuous rainfall generation

Continuous rainfall is often required for flood estimation and water resources assessment. However, stochastically generated continuous rainfall records are typically inconsistent with intensity-frequency-durations (IFDs) used in design, and do not simulate the rainfall behaviour we can expect in a future warmer climate. Here, we present the python package pyraingen to generate ensembles of continuous subdaily rainfalls at a single location that preserve IFD relationships. Rainfall generation can also be conditioned on a climate covariate, in this case temperature, to produce rainfall timeseries reflective of a future climate. We present an implementation at five climatologically unique sites across Australia and demonstrate its ability to produce rainfall timeseries that reflect both present day and future changes in rainfall persistence, temporal patterns, means, and extremes. This package will enable studies using continuous simulation to assess the impacts of climate change using the current guidance on changes to both IFDs and mean annual rainfalls.

Meaning Change in U.S. Occupational Identities during the COVID-19 Pandemic: Was It Temporary or Durable?

The COVID-19 pandemic altered social and economic life in the United States, displacing many people from their typical relationship to the institution of work. Our research uses affect control theory’s measurement structure to examine how cultural meanings for occupational identities shifted during the pandemic on the dimensions of evaluation (good-bad), potency (powerful-powerless), and activity (lively-inactive). Quinn et al. found that most occupations were seen as less good and powerful in the early stages of the pandemic than they were shortly before it began, with greater evaluation loss for nonessential occupations and greater potency loss for occupations classified as essential by state executive orders. We add a third wave to these data to reassess meanings after the pandemic eased and vaccines were developed. We use linear mixed modeling to estimate meaning changes across all three waves and to explore whether these changes differed for essential versus nonessential occupations. We find that evaluation and potency ratings of occupations rebounded over the longer term—a pattern that fits a control model of stable cultural meaning. Our results contribute to discussions in cultural sociology about beliefs and their stability.

Comparison of Telemedicine versus In-Person Visit for Control of Asthma in Children aged 7-17years: A Randomized Controlled Trial.

To compare asthma control between telemedicine and in-person visit in children aged 7 to 17 y. A non-inferiority randomized-controlled trial was conducted at a pediatric chest clinic, involving a total of 192 patients, with 96 children in each group of telemedicine and in-person follow-up. There was a significant improvement in the mean asthma control test (ACT)/ Childhood asthma control test (C-ACT) scores from baseline to three months in both groups, with no significant difference in the change of means between the two groups. The mean difference in ACT/C-ACT score at three months in the telemedicine and in-person visit group was -0.35; 95% CI (-1.30 to +0.10) [p-value 0.09]. There was a significant change in the mean Pediatric Quality of Life index (PQLI) scores from 57.2 ± 10.2 to 66.82 ± 7.99 in the telemedicine group and from 56.1 ± 11.7 to 66.71 ± 4.66 in the in-person visit group, however the mean difference in PQLI score in both the groups was not significant (p = 0.91). There was no significant difference in the number of asthma exacerbations (4 vs. 1) between telemedicine and in-person visit (p = 0.10). The mean telemedicine satisfaction questionnaire score in this study was 3.8 ± 0.7, which indicates that most of the parents were satisfied with the telemedicine follow-up process. This study revealed that telemedicine is non-inferior to in-person visit for follow-up of children with asthma and can be used as an alternative to in-person visit for the management of asthma, especially in remote settings and pandemic situations.

Effects of changes in climatic means, variability, and agro-technologies on future wheat and maize yields at 10 sites across the globe

To address the rising global food demand in a changing climate, yield gaps (YG), the difference between potential yields under irrigated (YP) or rainfed conditions (YWL) and actual farmers’ yields (Ya), must be significantly narrowed whilst raising potential yields. Here, we examined the likely impacts of climate change (including changes in climatic variability) and improvements in agricultural technologies on crop yields and yield gaps. Eight rigorously tested crop simulation models were calibrated for wheat and maize and run at 10 different sites around the world. Simulations were performed to estimate YP, YWL and yields achievable under three locally defined technology packages: TP0 represents average farmer's practice, while TP1 and TP2 are increasingly advanced technologies. Simulations were run for the baseline (1981–2010) and twelve future climate scenarios for 2050, representing changes in the means of climate variables and in the variability of daily temperature and dry/wet spell durations. Our basic hypotheses were that (H1) mean climate changes combined with increased weather variability lead to more negative yield impacts than mean climate changes alone, and (H2) advanced technologies would serve as effective adaptations under future climatic conditions. We found that crop responses were dependent on site characteristics, climate scenarios and adopted technologies. Our findings did not support H1. As for H2, the improved technology packages increased wheat and maize yields at all sites, but yield gap reduction varied substantially among sites. Future studies should consider a broader range of climate scenarios and methods for analysing potential shifts in climate variability. Moreover, it is recommended to co-create and evaluate climate zone-specific climate-smart crop production technologies in interaction with a wide range of local stakeholders.

An Examination of the Linking Error Currently Used in PISA

ABSTRACT Educational large-scale assessment (LSA) studies like the program for international student assessment (PISA) provide important information about trends in the performance of educational indicators in cognitive domains. The change in the country means in a cognitive domain like reading between two successive assessments is an example of a trend estimate. The uncertainty of trend estimates includes sampling and linking errors, which are regularly reported in the PISA study. This article focuses on the linking error that assesses the variability in trend estimation regarding the choice of items. Since PISA 2015, the linking error estimation method has changed. This article compares the statistical behavior and the concept of the new PISA linking error and the PISA linking error utilized until PISA 2012. It turns out that the newly proposed linking error provides no generalization of the old PISA linking error but rather reflects different aspects of uncertainties and model error.

SEGMENTAL UNITS AS AN INDICATOR OF EMOTIONAL PERCEPTION OF THE SOUNDING SPEECH

Problem Statement. Our research refers to the theory of emotionality and focuses on expressive means of sounding speech. When considering expressive means of sounding speech, we refer to the segmental level, namely to the distinctive features of vowel phonemes. We suggest that the complexes of semantic features of vowel phonemes and the frequency of their realization is one of the indicators of emotional perception and its correlation with a particular emotion. Besides it affects the perception of sounding speech in a particular emotional way, regardless of its semantics. The author has described and developed the mechanism of psycholinguistic experiment on revealing the perception of emotionally colored speech in connection with the functioning of the units of the language system in their differential attributes in the perception of sounding speech. Results.The results of the research showed that the distinctive features of vowel phonemes may be one of the indicators of correlation of emotional perception with a particular emotion. Moreover, when emotionality increases, one should expect regular and systematic changes of means for its expression. Furthermore, the polar basic emotions of both German and Russian speakers may coincide in the perception of the same material, which can be explained by the presence of universal and culture-bound specifics of emotional perception of the distinctive characteristics of vowels. Conclusion. Due to the results of the research, we may conclude that a systematic approach to the study of the phenomena of speech is possible because of the fact that the relationship between the functioning of the distinctive characteristics of vowel phonemes and the emotional coloring of the sounding text has a systemic nature.

Сценарии за развитие на сектор „Биологично земеделие“ в светлината на ОСП 2023 – 2027 година

The research aims to make a scenario analysis that will show what changes, perspectives and trends would be expected in the development of organic farming (OF) in our country, related to the change of main factors, mechanisms and means of support in the policy and with the objectives of the EU Green Deal. The study of the scenarios in the organic farming sector, their evaluation and the measurement of the probability that each of the options will happen is indicative of the future development of this sector, of the opportunities and prospects for it. It follows a quantitative approach to measure the possible changes in the organic farming sector. It is based on and is part of the work on the research project “Perspectives for Bulgarian agriculture and rural areas in the context of the CAP 2021 – 2027 and the EU Recovery Plan”, developed by a team led by associate professor Dr. B. Ivanov, IAI, Agricultural Academy – Sofia in 2021 – 2022. The research is based on the methodology developed for the purposes of the above-mentioned project, using the relevant algorithm, and the main applied methods are comparative assessment, probabilistic study with covariances, descriptive analysis, indicator method, expert assessment and statistical methods for determining trends (Ivanov et al., 2023). When developing the forecast scenarios, to track the possible consequences and effects of assuming different options for the development of OF in our country, two groups of indicators have been used – result and derivative ones. The average scenario score was used as an indicator of how likely the different scenarios were to occur. The specific scenarios and the average scores are determined within limits, according to the standard error and confidence interval according to the methodology of the above-mentioned project. Although the overall probability of the proposed three scenarios (pessimistic, normal and optimistic), measured by the probability coefficient, is unsatisfactory – 0.43, as well as the average scores for the pessimistic and moderate scenarios, the average score for the optimistic scenario is considered satisfactory. From the presented assumptions, estimates and probability scenarios, it can be concluded that the assumed changes in the indicators for the development of organic agriculture lead to relatively close probabilities for the occurrence of the optimistic and moderate scenarios. However, the optimistic scenario has the highest percentage – 18%, followed by the moderate scenario – 16%. I.e. the probability that organic agriculture will develop by 2027 according to the optimistic scenario is the highest. The realization of such a scenario by 2027 would be positive for Bulgarian agriculture in general and for OF in particular. This coincides with the trends that have been noticed recently – there is an increased interest of society in consuming organic products; at the same time, a number of EC- documents set goals for increasing the areas managed by organic farming methods. The increased public interest and concern for the protection of the environment and the health of people and animals has provoked a number of measures in both EU and national policy related to the support of the sector of OF.

Considerations on the Weight Loss-Associated Glucagon-like Peptide-1 Receptor Agonists for Older People.

Obesity rates for older people have increased around the world1 with rates tripling over the past four decades.² While previously considered a phenomenon of developed countries, the increased prevalence of obesity is now established in developing countries as well.³ Factors stimulating this epidemic include modifications in the global food supply chain, rise in consumption and availability of energy-dense, low-nutrient foods, sedentary occupations, expanding urbanization, changes in transportation means, as well as environmental components.³ The increasing prevalence of obesity in older people in the United States over time has been well documented by federal agencies. Over the time periods 1999-2002, 2003-2006, and 2007-2010, a linear increase in the prevalence of obesity among older men in all age groups was observed. The obesity prevalence among men 65 to 74 years of age increased from about 31.6% in 1999-2002 to 41.5% in 2007-2010. In men older than 74 years of age, obesity prevalence increased from 17.7% in 1999-2002 to 26.5% in 2007-2010. Of interest is that, in women, the change over the same time period was not statistically significant for the older age groups (40.3% obesity in 65- to 74-year-old women and 28.7% in women older than 74 years of age in the 2007-2010 analysis period).⁴.

A Mean-Rate Event-Triggered Mechanism for Nonlinear Plants With Weak Time Regularization

This paper proposes a new event-triggered mechanism for nonlinear plants with multiple communication networks. An auxiliary signal that contains a component to measure the (weighted) mean changing rates of measurement errors is employed; and hence the induced event-triggered mechanism is termed as a mean-rate one. By incorporating this auxiliary signal into dynamic event-triggering conditions, the new mean-rate event-triggered mechanism can ensure closed-loop input-to-state stability with respect to external disturbances. To further improve transmission performance, a concept of weak time regularization is given and proved, where similar to traditional time regularization, no events can be triggered within a user-specified lower bound; but differently, the positiveness of this user-specified parameter is not necessary in excluding Zeno behavior. Finally, a nonlinear example is simulated to illustrate the feasibility and efficiency of the theoretical results.

Transformasi Makna Kata Serapan Bahasa Arab Pada Bahasa Indonesia Dalam Istilah Agama Islam dari Aspek Bahasa dan Budayanya

This research aims to describe Arabic loan words in Indonesian which focuses on terms contained in the Islamic religion and analyze changes in meaning based on linguistic and cultural factors of the source language. This research uses a qualitative descriptive research approach, namely the Systematic Literature Review method with a number of research objects. The data sources used include previous research articles and journals that examine the transformation of language meaning.
 The research results identified three types of meaning changes in Arabic vocabulary that were adopted into Indonesian. The three types of meaning changes include broad meaning changes, narrowed meaning changes, and total meaning changes. This research provides in-depth insight into how words in Arabic interact with the Islamic religion and are then absorbed into Indonesian, and how these meanings change over time and context in aspects of language and culture.

Pulsed-Field Ablation Does Not Worsen Baseline Pulmonary Hypertension Following Prior Radiofrequency Ablations

BackgroundStudies have reported development of pulmonary hypertension (PH) secondary to reduced LA compliance following AF ablation. ObjectivesThis study aimed to compare the risk of worsening of baseline PH between non-paroxysmal AF patients undergoing pulsed-field ablation (PFA) and standard radiofrequency ablation (RFA). MethodsThis multicenter study included 28 nonparoxysmal AF patients with PH undergoing a PFA-based ablation procedure after >1 failed RFA. A cohort of 28 AF patients with PH, scheduled for repeat RFA, 1:1 propensity-score matched using a multivariable logistic model, were used as the comparator group. Right heart catheterization and echocardiography were performed before and after the procedure to assess the pulmonary artery pressure (PAP). PH was defined as resting mean PAP of >20 mm Hg. ResultsThe baseline characteristics of the PFA and propensity-matched RFA groups were comparable. The mean PAP assessments at baseline, follow-up, and change from baseline were analyzed. The groups had comparable baseline mean pulmonary artery pressures (mPAP) (P = 0.177). After adjustment for baseline mPAP in an analysis of covariance model, the least-squares means change at 3 months after ablation was −1.71 ± 1.03 mm Hg and 19.67 ± 1.03 mm Hg in PFA and RFA, respectively (P <0.001). ConclusionsIn this propensity-matched population, no worsening of mPAP was detected following pulsed-field ablation in patients with pre-existing PH undergoing a repeat procedure for recurrence.

Threatened European butterflies concentrate in areas of strong climatic change and atmospheric deposition pressure

Land use change, as a result of many local-scale decisions scaling up to large spatial extents, is considered the main threat to European butterflies. The impact of large-scale pressures, such as atmospheric nitrogen deposition or climate change, is less understood or less documented, respectively. However, it is acknowledged that they might reinforce the pressure on already threatened species. To evaluate the additional threat exerted by these pressures we compared their geographical pattern to those of threatened butterflies across Europe. We therefore derived range maps of 383 butterfly species and used two species-specific threat assessments derived from national and European Red Lists. We then used Spearman rank-correlations and beta-regressions to compare two metrics of species threat per 10 × 10 km raster cells with geographical patterns of cumulative nitrogen depositions from 1980 to 2015, as well as the magnitude of change in precipitation sums and temperature means between the decades 1979–1988 and 2004–2013. We found that threatened species tend to concentrate in areas with high nitrogen depositions and pronounced summer temperature changes. In particular, parts of central and eastern Europe were both hotspots of threatened butterflies and hotspots of climatic pressure. This spatial coincidence of the distribution of threatened butterfly species with large-scale patterns of nitrogen depositions and recent climate warming indicates an already considerable risk of regional to continental extinctions that will likely increase further in the future as climate change will most likely intensify. Consequences for area-based conservation measures are discussed.

Economic Trends after Geopolitical Conflicts: International Markets and Prospects

This paper mainly focusses on the conflict between Russia and Ukraine and how this conflict affects international market. This paper uses some data from websites to study about how these changes of data means. The reason why this paper focus on these questions is because Russia plays a big part in international market and this conflict could be seen as a conflict between capitalism and socialism countries. This research find that this conflict brings really bad effect to international market which decrease the supply of specific goods and changes import and export. Also, this paper find that this could also see as a new conflict between Russia and other European countries because this conflict affects European countries directlyespecially in energy supply and metal supply. The meaning of this paper is that this paper focus on specific data to show the total markets change. The suggestions to the leader of these countries are that stop the war as soon as possible, let the supply back to before and let the market back to equilibrium.

Exchange means change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange

Change detection is a critical task in studying the dynamics of ecosystems and human activities using multi-temporal remote sensing images. While deep learning has shown promising results in change detection tasks, it requires a large number of labeled and paired multi-temporal images to achieve high performance. Pairing and annotating large-scale multi-temporal remote sensing images is both expensive and time-consuming. To make deep learning-based change detection techniques more practical and cost-effective, we propose an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange (I3PE). The I3PE framework allows for training deep change detectors on unpaired and unlabeled single-temporal remote sensing images that are readily available in real-world applications. The I3PE framework comprises four steps: (1) intra-image patch exchange method is based on an object-based image analysis (OBIA) method and adaptive clustering algorithm, which generates pseudo-bi-temporal image pairs and corresponding change labels from single-temporal images by exchanging patches within the image; (2) inter-image patch exchange method can generate more types of land-cover changes by exchanging patches between images; (3) a simulation pipeline consisting of several image enhancement methods is proposed to simulate the radiometric difference between pre- and post-event images caused by different imaging conditions in real situations; (4) self-supervised learning based on pseudo-labels is applied to further improve the performance of the change detectors in both unsupervised and semi-supervised cases. Extensive experiments on two large-scale datasets covering Hong Kong, Shanghai, Hangzhou, and Chengdu, China, demonstrate that I3PE outperforms representative unsupervised approaches and achieves F1 value improvements of 10.65% and 6.99% to the state-of-the-art method. Moreover, I3PE can improve the performance of the change detector by 4.37% and 2.61% on F1 values in the case of semi-supervised settings. Additional experiments on a dataset covering a study area with 144 km2 in Wuhan, China, confirm the effectiveness of I3PE for practical land-cover change analysis tasks.

The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches.

Due to the growth of sensor technology, more affordable integrated circuits, and connectivity technologies, the usage of wearable equipment and sensing devices for monitoring physical activities, whether for wellness, sports monitoring, or medical rehabilitation, has exploded. The current literature review was performed between October 2022 and February 2023 using PubMed, Web of Science, and Scopus in accordance with P.R.I.S.M.A. criteria. The screening phase resulted in the exclusion of 69 articles that did not fit the themes developed in all subchapters of the study, 41 articles that dealt exclusively with rehabilitation and orthopaedics, 28 articles whose abstracts were not visible, and 10 articles that dealt exclusively with other sensor-based devices and not medical ones; the inclusion phase resulted in the inclusion of 111 articles. Patients who utilise sensor-based devices have several advantages due to rehabilitating a missing component, which marks the accomplishment of a fundamental goal within the rehabilitation program. As technology moves faster and faster forward, the field of medical rehabilitation has to adapt to the time we live in by using technology and intelligent devices. This means changing every part of rehabilitation and finding the most valuable and helpful gadgets that can be used to regain lost functions, keep people healthy, or prevent diseases.

The impact of botanical fermented foods on metabolic syndrome and type 2 diabetes: a systematic review of randomised controlled trials.

Our systematic review assessed the impact of botanical fermented food (BFF) consumption on glucose, lipid, anthropometric, inflammatory and gut microbiota parameters, in adults with metabolic syndrome (MetS), MetS components or type 2 diabetes mellitus (T2DM). Embase, MEDLINE, Cochrane CENTRAL and Google Scholar were searched with no language limits, from inception to August 31, 2022, for eligible randomised controlled trials (RCTs). Two independent reviewers screened 6873 abstracts and extracted relevant data. Risk of bias (ROB) was assessed using the Cochrane Collaboration's ROB2 tool. The final review included 26 RCTs, with 31 reports published between 2001 and 2022. Significant (p<0.05) within-group and between-group changes in cardiometabolic outcome means were reported in 23 and 19 studies, respectively. Gut microbiota composition was assessed in four studies, with two finding significant between-group differences. No significant difference between groups of any measured outcomes was observed in five studies. There were 14 studies at low ROB; ten were of some concern; and two were at high ROB. In 73% of included studies, BFF consumption by participants with obesity, MetS or T2DM led to significant between-group improvements in discrete cardiometabolic outcomes, including fasting blood glucose, lipid profile, blood pressure, waist circumference, body fat percentage, and C-reactive protein. BFF consumption increased the abundance of beneficial gut bacteria, such as Bifidobacterium and LAB, whilst reducing potential pathogens like Bacteroides. To determine the clinical significance of BFFs as therapeutic dietary adjuncts, their safety, tolerability and affordability must be balanced with the limited power and magnitude of these preliminary findings.

DRAFTING DEFINITIONS WITH POLISEMY AND SEMANTIC CHANGE IN MIND

Legislative definitions must be as clear and precise as possible. Different sources for legislative drafting provide guidelines on how to ensure clarity and precision. Many of these guidelines provide language-related advice. However, language guidelines and linguistic principles are not the same thing. Garth Thornton’s book is one of the few that suggests drafters study language to benefit their drafting techniques. He specifically mentions the link between language and society, and claims that drafters will gain by understanding how meaning (and language) change owing to societal changes. This article explores Thornton’s observation by attending to the polysemy and possible semantic change of the word “strike”, taken from the case of SASRIA v Slabbert Burger Transport [2008] ZASCA 73. The article claims that social processes like lived experiences and changing perspectives function as drivers of semantic change. These changes lead to the development of new semantic variations that coexist with the old or base meaning of a word, resulting in polysemy. Polysemy has the potential to cause vagueness, ambiguity and uncertainty, which complicates drafters’ task in producing clear and precise texts. Understanding the complexity and instability of words ahead of time could aid drafters to hone their definitions for better legal communication. To prevent unnecessary semantic pitfalls, the contribution further suggests that drafters apply their linguistic awareness (referred to as the “lexicological approach”) to words chosen for definition, as well as to a selection of words deliberately left undefined.

Budyko Framework Based Analysis of the Effect of Climate Change on Watershed Evaporation Efficiency and Its Impact on Discharge Over Europe

AbstractIn the context of climate change, the stakes surrounding water availability are rapidly intensifying. Decomposing and quantifying the effects of climate on discharge allows us to understand their impact on water resources better. We propose a methodology to separate the effect of change in the annual mean of climate variables from the effect of the intra‐annual distribution of precipitation. It combines the Budyko framework with land surface model (LSM) outputs. The LSM is used to reproduce the behavior of 2,134 reconstructed watersheds across Europe between 1902 and 2010, with climate inputs as the only source of change. We fit a one‐parameter approximation of the Budyko framework to the LSM outputs. It accounts for the evolution of the annual mean in precipitation (P) and potential evapotranspiration (PET). We introduce a varying parameter in the equation, representing the effect of long‐term variations in the intra‐annual distribution of P and PET. To better assess the effects of changes in annual means or intra‐annual distribution of P, we construct synthetic forcings fixing one or the other. European results show that the trends in the annual averages of P dominate the trends in discharge due to climate. The second main climate driver is PET, except over the Mediterranean area, where changes in intra‐annual variations of P have a higher impact on discharge than trends in PET. Therefore, the effects of changes in the intra‐annual distribution of climate variables are to be addressed when looking at changes in annual discharge.

Mind–body and art therapies impact on emotional regulation in patients with chronic diseases: a pragmatic mixed-methods randomized controlled trial

BackgroundEffective emotional regulation is recognized as essential to a good mental health of people with chronic diseases, and Mind–body and Art Therapies (MBATs) could have a positive effect on emotional regulation skills in this population. Thus, we aimed to evaluate the effect of MBATs on emotional regulation as measured by the Difficulties in Emotion Regulation Scale (DERS) questionnaire.MethodsA convergent mixed approach nested in a pragmatic superiority two arms parallel randomized controlled trial was conducted. French speaking adults with one or more chronic somatic illnesses and not suffering from a chronic psychiatric disorder unrelated to one of their chronic somatic illness were included. At inclusion, non-directive interviews were conducted, followed by an initial DERS assessment. The same combination of evaluation was implemented after 6 months of activity (T1). After inclusion, each participant was randomized within either the intervention group (G1) or the control group (G2) following a controlled wait-list design by use of a pregenerated randomization list. Staff and patient were blinded to this list until the initial evaluation was completed, after which the trial was conducted in an open-label fashion. Participants chose 2 mediations: one creativity-focused (art-therapy, writing workshop, theatre of life, vocal workshop) and one mind–body-focused (mindfulness meditation, Pilates, shiatsu, ayurvedic massages). G1 started their mediations immediately after inclusion, while G2 started 6 months later. Primary outcome was the change in means at 6 months in the overall DERS score compared between each group. Non-directive interviews were carried out at the inclusion and after 6 months of MBATs. A continuous inductive analysis was carried out on gathered material in G1 to explore the participants' experiences regarding their disease and their perceived changes associated to the intervention.ResultsA total of 150 patients was randomized (75 per groups) at the end of the study. At T1, 133 patients filled out the final questionnaire (67 in G1 vs 66 in G2) and 112 interviews were analysed (54 in G1 vs 58 in G2). All 150 patients were analysed (intention to treat) using a multiple imputation approach. The mean DERS score at T0 was equal to 82.8 ± 21.1 and 85.0 ± 20.2 in G1 and G2 respectively. On average, at T1, the score decreased in the G1 (Δ = -4.8, SD = 21.3) and in G2 (Δ = -0.11, SD = 17.8). The difference in decrease, however, was not statistically significant (p = 0.13). Qualitative analysis underlined some MBATs benefits on emotional regulation, especially on regulation strategies. No harms related to the intervention has been observed.ConclusionsThis study only partially supports benefits on MBAT on emotional regulation skills enhancement in patients with chronic disease receiving MBATs, as measured by the DERS scale.Trial registrationThe protocol was registered on Clinical Trials (NCT02911207).