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The Association for Critical Heritage Studies (ACHS) was created, in part, to address underrepresentation in the study and management of heritage. However, achieving genuinely inclusive representation within global heritage conversations remains elusive, exacerbated by entrenched power dynamics and the dominance of Western epistemologies. Here, we discuss ACHS's efforts to foster a more democratic, inclusive discourse through its organizational structure and international collaborations. As we argue here, although significant strides towards diversifying heritage discourse are evidenced by the creation of chapters and networks aimed at amplifying underrepresented voices, challenges persist in ensuring equitable participation. We discuss the importance of strategic regionalization and language inclusivity in advancing a platform that reflects the diversity of global heritage perspectives. [ABSTRACT FROM AUTHOR]

Distributed acoustic sensing (DAS) technology enables the detection of waves generated by seismic events, generally as uniaxial strain/strain rate time-series observed for dense, subsequent, portions of a Fibre Optic Cable (FOC). Despite the advantages in measurement density, data quality is often affected by uniaxial signal polarization, site effects and cable coupling, beyond the physical energy decay with distance. To better understand the relative importance of these factors for data inversion, we attempt a first modelling of noise patterns affecting DAS arrival times for a set of seismic events. The focus is on assessing the impact of noise statistics, together with the geometry of the problem, on epicentral location uncertainties. For this goal, we consider 15 'real-world' cases of DAS arrays with different geometry, each associated with a seismic event of known location. We compute synthetic P -wave arrival times and contaminate them with four statistical distributions of the noise. We also estimate P -wave arrival times on real waveforms using a standard seismological picker. Eventually, these five data sets are inverted using a Markov chain Monte Carlo method, which offers the evaluation of the relative event location differences in terms of posterior probability density (PPD). Results highlight how cable geometry influences the shape, extent and directionality of the PPDs. However, synthetic tests demonstrate how noise assumptions on arrival times often have important effects on location uncertainties. Moreover, for half of the analysed case studies, the observed and synthetic locations are more similar when considering noise sources that are independent of the geometrical characteristics of the arrays. Thus, the results indicate that axial polarization, site conditions and cable coupling, beyond other intrinsic features (e.g. optical noise), are likely responsible for the complex distribution of DAS arrival times. Overall, the noise sensitivity of DAS suggests caution when applying geometry-only-based approaches for the a priori evaluation of novel monitoring systems. [ABSTRACT FROM AUTHOR]

Three hundred and sixty-three older adults with multiple sclerosis completed a cross-sectional study examining hierarchical correlates of physical activity using a social cognitive theory perspective within a social ecological model (i.e., built environment, social environment, and individual social cognitive theory variables). Hierarchical linear regression analyses were conducted, wherein significant associations were noted for built environment (i.e., land-use mix diversity and aesthetics) and physical activity in Step 1 (R2 =.09). Social and built environment were significant correlates in Step 2 (R2 =.15). Finally in Step 3, individual social cognitive theory variables (i.e., self-efficacy and outcome expectations) were the only significant correlates of total physical activity (R2 =.38). Results were comparable for health-promoting physical activity; however, self-efficacy was the only significant correlate in Step 3 (R2 =.36). This study provides guidance for researchers and practitioners on relevant targets for tailoring interventions for older adults with multiple sclerosis and supports an emphasis on self-efficacy as a primary predictor of health behavior change. [ABSTRACT FROM AUTHOR]