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The COVID-19 pandemic, and the measures taken to control its spread, are an unprecedented, large-scale stressor. While the pandemic is affecting all age groups, adolescents may be especially vulnerable given that this is a high-risk period for developing internalizing disorders (anxiety and depression). Worse still, many stressors relevant to internalizing disorders’ onset are common at this time (e.g., social isolation, reduced activity, uncertain prospects, disruption in the home), rendering this an especially high-risk period. However, there are tremendous individual differences in stress responses, raising the question of how to identify those at greatest risk for negative responses. The possibility of identifying neural predictors of youth vulnerability to the pandemic and its long term effects has strong implications for identifying at risk youth, models of stress and mental health, and targeted prevention in the context of a large-scale, long-lasting stressor. In this study, we will invite youth to complete an MRI session, and and to complete a set of online questionnaires.

Parenting is a consistent predictor of child externalizing symptoms; however, the role of caregiving variability (i.e., variation in a caregiver’s parenting behaviour) is poorly understood. We examined whether characteristic parenting style and parenting variability predicted externalizing symptoms in 409 children (Mage = 3.43 at baseline, 208 girls). We assessed parent positive affectivity (PPA), hostility, and parenting structure at child age three using three behavioural tasks designed to vary in context, examining variability by modeling a latent difference score reflecting the range for each dimension. We assessed children’s symptoms at ages three, five, eight, and 11. Lower hostility predicted fewer age three symptoms for children with lower impulsivity. Higher PPA predicted a more decreasing slope and PPA variability predicted a less decreasing slope, both specifically for children with higher impulsivity. Results demonstrate the differential roles parenting style and variability play in the development of child externalizing psychopathology.

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Additional file 3: Risk of bias of included studies.

Additional file 2: Data extraction tool.

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Additional file 1: Search strategy applied to MEDLINE database.

Emotional stimuli can disrupt or enhance task performance, and this may depend on the sensory modality involved. In unimodal paradigms (e.g. visual task-irrelevant stimuli during a visual task) emotional stimuli frequently produce distraction effects; it is unclear how emotion affects task performance in cross-modal paradigms (e.g. auditory stimuli during a visual task). This project explored task performance as a function of sensory modality and emotional valence. In Study 1, participants (N=50) completed a visual task in the presence of task-irrelevant negative and neutral images and sounds. Response times and accuracy were disrupted in the presence of visual but not auditory emotional stimuli, particularly when the target and task-irrelevant stimulus appeared simultaneously. In Study 2, participants (N=38) completed an equivalent auditory task. Response times and accuracy were enhanced in the presence of auditory emotional stimuli at the first timepoint but disrupted at later timepoints. There was no effect for visual stimuli.

The inactive X chromosome (Xi) serves as a model for establishment and maintenance of repressed chromatin and the function of polycomb repressive complexes (PRC1/2). Here we show that Xi transiently relocates from the nuclear periphery towards the interior during its replication, in a process dependent on CIZ1. Compromised relocation of Xi in CIZ1-null primary mouse embryonic fibroblasts is accompanied by loss of PRC-mediated H2AK119Ub1 and H3K27me3, increased solubility of PRC2 catalytic subunit EZH2, and genome-wide deregulation of polycomb-regulated genes. Xi position in S phase is also corrupted in cells adapted to long-term culture (WT or CIZ1-null), and also accompanied by specific changes in EZH2 and its targets. The data are consistent with the idea that chromatin relocation during S phase contributes to maintenance of epigenetic landscape in primary cells, and that elevated soluble EZH2 is part of an error-prone mechanism by which modifying enzyme meets template when chromatin relocation is compromised.

CIZ1 promotes cyclin-dependent DNA replication and resides in sub-nuclear foci that are part of the protein nuclear matrix (NM), and in RNA assemblies that are enriched at the inactive X chromosome (Xi) in female cells. It is subjected to alternative splicing, with specific variants implicated in adult and pediatric cancers. CIZ1-F is characterized by a frame shift that results from splicing exons 8–12 leading to inclusion of a short alternative reading frame (ARF), excluding the previously characterized C-terminal NM anchor domain. Here, we apply a set of novel variant-selective molecular tools targeted to the ARF to profile the expression of CIZ1-F at both transcript and protein levels, with focus on its relationship with the RNA-dependent and -independent fractions of the NM. Unlike full-length CIZ1, CIZ1-F does not accumulate at Xi, though like full-length CIZ1 it does resist extraction with DNase. Notably, CIZ1-F is sensitive to RNase identifying it as part of the RNA-fraction of the NM. In quiescent cells CIZ1-F transcript expression is suppressed and CIZ1-F protein is excluded from the nucleus, with re-expression not observed until the second cell cycle after exit from quiescence. Importantly, CIZ1-F is over-expressed in common solid tumors including colon and breast, pronounced in early stage but not highly-proliferative late stage tumors. Moreover, expression was significantly higher in hormone receptor negative breast tumors than receptor positive tumors. Together these data show that CIZ1-F is expressed in proliferating cells in an unusual cell cycle-dependent manner, and suggest that it may have potential as a tumor biomarker.

Background: Emotional information has privileged access to processing resources, which can cause it to have a distracting or facilitating effect on task performance for reasons that are poorly understood. The sensory modality through which it is presented may be one determining factor. Some findings suggest that auditory stimuli facilitate visual task performance while visual stimuli interfere with it, but there are conflicting findings. Hypothesis: We hypothesize that emotional content of a different sensory modality from the task improves task-related performance via a general alerting and arousing effect for all stimuli, while emotional content of the same modality disrupts performance when task-relevant neutral stimuli compete with emotional stimuli for processing resources. Methods: Participants will attempt to identify the location of a Gabor patch (a sinusoidal grating of horizontal lines), either on the left or right side of the computer screen, while a negative or neutral image or sound is presented. Their reaction times will be compared across conditions. Expected Results: We expect that emotional content presented through the auditory modality will result in faster responses on the visual perception task, compared to neutral content. Conversely, compared to neutral stimuli, emotional content presented visually will lead to slower responses. Discussion: This research will lead to a better understanding of how the manner in which emotional information is presented can determine its effect on task performance. This is a key step in determining how emotional content perceived through multiple modalities interacts to affect a person’s perceptual abilities in complex emotional situations.

CIZ1 promotes cyclin-dependent DNA replication and resides in sub-nuclear foci that are part of the protein nuclear matrix (NM), and in RNA assemblies that are enriched at the inactive X chromosome (Xi) in female cells. It is subjected to alternative splicing, with specific variants implicated in adult and paediatric cancers. CIZ1-F is characterized by a frame shift that results from splicing exons 8-12 leading to inclusion of a short alternative reading frame (ARF), excluding the previously characterized C-terminal NM anchor domain. Here, we apply a set of novel variant-selective molecular tools targeted to the ARF to profile the expression of CIZ1-F at both transcript and protein levels, with focus on its relationship with the RNA-dependent and -independent fractions of the NM. Unlike full-length CIZ1, CIZ1-F does not accumulate at Xi, though like full-length CIZ1 it does resist extraction with DNase. Notably, CIZ1-F is sensitive to RNase identifying it as part of the RNA-fraction of the NM. In quiescent cells CIZ1-F transcript expression is suppressed and CIZ1-F protein is excluded from the nucleus, with re-expression not observed until the second cell cycle after exit from quiescence. Importantly, CIZ1-F is over-expressed in common solid tumours including colon and breast, pronounced in early stage but not highly-proliferative late stage tumours. Moreover, expression was significantly higher in hormone receptor negative breast tumours than receptor positive tumours. Together these data show that CIZ1-F is expressed in proliferating cells in an unusual cell cycle-dependent manner, and suggest that it may have potential as a tumour biomarker.

As the distribution grid moves toward a tightly monitored network, it is important to automate the analysis of the enormous amount of data produced by the sensors to increase the operators situational awareness about the system. In this paper, focusing on microphasor measurement unit (μPMU) data, we propose a hierarchical architecture for monitoring the grid and establish a set of analytics and sensor fusion primitives for the detection of abnormal behavior in the control perimeter. Due to the key role of the μPMU devices in our architecture, an optimal μPMU placement with limited number of sensors is also described that finds the best location of the devices with respect to our rules. The effectiveness of the proposed methods are tested through the synthetic and real μPMU data.

This letter studies the synchrophasor measurement error of electric power distribution systems with on-line and off-line measurements using graphical and numerical tests. It demonstrates that the synchrophasor measurement error follows a non-Gaussian distribution instead of the traditionally-assumed Gaussian distribution. It suggests the need to use non-Gaussian or Gaussian mixture models to represent the synchrophasor measurement error. These models are more realistic to accurately represent the error than the traditional Gaussian model. The measurements and underlying analysis will be helpful for the understanding of distribution system measurement characteristics, and also for the modeling and simulation of distribution system applications.

The Great Parchment Book of the Honourable the Irish Society is a major surviving historical record of the estates of the county of Londonderry (in modern day Northern Ireland). It contains key data about landholding and population in the Irish province of Ulster and the city of Londonderry and its environs in the mid-17th century, at a time of social, religious, and political upheaval. Compiled in 1639, it was severely damaged in a fire in 1786, and due to the fragile state of the parchment, its contents have been mostly inaccessible since. We describe here a long-term, interdisciplinary, international partnership involving conservators, archivists, computer scientists, and digital humanists that developed a low-cost pipeline for conserving, digitizing, 3D-reconstructing, and virtually flattening the fire-damaged, buckled parchment, enabling new readings and understanding of the text to be created. For the first time, this article presents a complete overview of the project, detailing the conservation, digital acquisition, and digital reconstruction methods used, resulting in a new transcription and digital edition of the text in time for the 400th anniversary celebrations of the building of Londonderry’s city walls in 2013. We concentrate on the digital reconstruction pipeline that will be of interest to custodians of similarly fire-damaged historical parchment, whilst highlighting how working together on this project has produced an online resource that has focussed community reflection upon an important, but previously inaccessible, historical text., Digital Scholarship in the Humanities, 32 (4), ISSN:2055-7671, ISSN:2055-768X

As the distribution grid moves toward a tightly-monitored network, it is important to automate the analysis of the enormous amount of data produced by the sensors to increase the operators situational awareness about the system. In this paper, focusing on Micro-Phasor Measurement Unit ($\mu$PMU) data, we propose a hierarchical architecture for monitoring the grid and establish a set of analytics and sensor fusion primitives for the detection of abnormal behavior in the control perimeter. Due to the key role of the $\mu$PMU devices in our architecture, a source-constrained optimal $\mu$PMU placement is also described that finds the best location of the devices with respect to our rules. The effectiveness of the proposed methods are tested through the synthetic and real $\mu$PMU data., Comment: This article is submitted to IEEE Transaction on Power System and is currently under the review process

The nuclear matrix protein Cip1-interacting zinc finger protein 1 (CIZ1) promotes DNA replication in association with cyclins and has been linked to adult and pediatric cancers. Here we show that CIZ1 is highly enriched on the inactive X chromosome (Xi) in mouse and human female cells and is retained by interaction with the RNA-de-pendent nuclear matrix. CIZ1 is recruited to Xi in response to expression of X inactive-specific transcript (Xist) RNA during the earliest stages of X inactivation in embryonic stem cells and is dependent on the C-terminal nuclear matrix anchor domain of CIZ1 and the E repeats of Xist. CIZ1-null mice, although viable, display fully penetrant female-specific lymphoproliferative disorder. Interestingly, in mouse embryonic fibroblast cells derived from CIZ1-null embryos, Xist RNA localization is disrupted, being highly dispersed through the nucleoplasm rather than focal. Focal localization is reinstated following re-expression of CIZ1. Focal localization of Xist RNA is also disrupted in activated B and T cells isolated from CIZ1-null animals, suggesting a possible explanation for female-specific lymphoproliferative disorder. Together, these findings suggest that CIZ1 has an essential role in anchoring Xist to the nuclear matrix in specific somatic lineages.

Western states are concerned about maintaining and securing national borders. Across Europe, one response has been to implement restrictive asylum regimes that prevent ‘bogus’ applicants and grant refuge only to the ‘deserving’. Alongside these concerns, states are eager to encourage socially cohesive communities. One recent tool adopted by the UK government has been citizenship policy, including English language/life in the UK tests and citizenship ceremonies. By drawing upon in-depth interviews with refugees in Scotland (UK), this paper explores the impact of the current asylum regime and citizenship policies from the perspective of individual voices that are often absent from wider debates. It explores how temporary refugee status impacts upon individuals' everyday lives including employment and education, and impacts upon children. The data also question the reasons for refugees deciding to become British citizens (or not) and highlight instrumental reasons alongside less tangible factors such as gaining a sense of security. Taking the discussion forward, the study explores some unintended consequences of immigration and citizenship policies in the UK. The research suggests that not only do restrictive asylum policies negatively impact upon refugees and their integration but also serve to elevate fear and uncertainty, which can unintentionally spur individuals to seek naturalisation.

Source at http://dx.doi.org/10.1175/BAMS-D-16-0195.1 A primary goal of the World Meteorological Organization’s Polar Prediction Project (PPP) is to advance numerical modeling, data acquisition and assimilation, ensemble forecast methods, verification, and the development of prediction products for the polar regions. However, as aptly expressed more than two decades ago, “it should be understood that forecasts have no intrinsic value. They acquire value through their ability to influence the decisions made by users of the forecasts” (Murphy 1993, p. 286). Improved modeling and more technology are sometimes assumed to be inherently “better,” but if end users do not use, or cannot access, the information, they are not better in a societal sense. The work of the PPP’s Societal and Economic Research and Applications (SERA) subcommittee is focused on understanding how weather and climate information and forecasts are accessed, understood, and utilized in, for, and to learn about the polar regions. This work has the potential to enable weather and climate information providers and users to obtain greater value from advances in polar prediction that result from the Polar Prediction Project.

The impact of Phasor Measurement Units (PMUs) for providing situational awareness to transmission system operators has been widely documented. Micro-PMUs ($\mu$PMUs) are an emerging sensing technology that can provide similar benefits to Distribution System Operators (DSOs), enabling a level of visibility into the distribution grid that was previously unattainable. In order to support the deployment of these high resolution sensors, the automation of data analysis and prioritizing communication to the DSO becomes crucial. In this paper, we explore the use of $\mu$PMUs to detect anomalies on the distribution grid. Our methodology is motivated by growing concern about failures and attacks to distribution automation equipment. The effectiveness of our approach is demonstrated through both real and simulated data.

Optimal Power Flow (OPF) is an important tool used to coordinate assets in electric power systems to ensure customer voltages are within pre-defined tolerances and to improve distribution system operations. While convex relaxations of Optimal Power Flow (OPF) problems have been proposed for both balanced and unbalanced networks, these approaches do not provide universal convexity guarantees and scale inefficiently as network size and the number of constraints increase. To address these issues, we have recently explored a novel linearized OPF formulation for unbalanced distribution systems. Our approach is made possible in part by approximating the ratio of voltages across phases throughout the network. In this work, we generalize the previous formulation to allow arbitrary complex numbers to approximate voltage ratios at different locations in the feeder. Furthermore, we continue the analysis of the linearized OPF via comparison to results obtained through convex relaxations and Semi-Definite Programming (SDP). Simulations of IEEE test feeders show that the proposed formulation produces control decisions that closely approximate those obtained via SDP relaxations. In a specific case, we show that the linearized OPF is capable of solving certain problems which cannot be formulated as SDPs., Since publication on arXiv, we have found an earlier published paper that presents the same linearization

The Year of Polar Prediction (YOPP) has the mission to enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modelling, prediction, verification, user- engagement and education activities. The YOPP Core Phase will be from mid-2017 to mid-2019, flanked by a Preparation Phase and a Consolidation Phase. YOPP is a key component of the World Meteorological Organization – World Weather Research Programme (WMO-WWRP) Polar Prediction Project (PPP). The objectives of YOPP are to: 1. Improve the existing polar observing system (better coverage, higher-quality observations); 2. Gather additional observations through field programmes aimed at improving understanding of key polar processes; 3. Develop improved representation of key polar processes in coupled (and uncoupled) models used for prediction; 4. Develop improved (coupled) data assimilation systems accounting for challenges in the polar regions such as sparseness of observational data; 5. Explore the predictability of the atmosphere-cryosphere-ocean system, with a focus on sea ice, on time scales from days to seasons; 6. Improve understanding of linkages between polar regions and lower latitudes and assess skill of models representing these linkages; 7. Improve verification of polar weather and environmental predictions to obtain better quantitative knowledge on model performance, and on the skill, especially for user-relevant parameters; 8. Demonstrate the benefits of using predictive information for a spectrum of user types and services; 9. Provide training opportunities to generate a sound knowledge base (and its transfer across generations) on polar prediction related issues. The PPP Steering Group provides endorsement for projects that contribute to YOPP to enhance coordination, visibility, communication, and networking. This White Paper is based largely on the much more comprehensive YOPP Implementation Plan (WWRP/PPP No. 3 – 2014), but has an emphasis on Arctic observations.

As utilities move towards more intelligent and autonomous networks, there is increased requirement for the analysis of how these changes will affect network operations and performance. Phasor Measurement Units (PMUs) can be integrated into a network for the analysis and identification of bad data. As PMUs contain a Global Positioning System (GPS) chip, it is possible for them to determine their own location when connected to a network. By creating a Common Information Model (CIM) network model in the cloud, with embedded geographical data, the PMU would be able to connect to this and determine what it is connected to and where in a network it is located. Network data could then be collected and analysed to help identify any points of bad data. Challenges to be overcome include the building of the network model from the available geographical data, the automatic integration of the PMU with the network, and the authentication of the data.

This report reviews the potential for distribution-grid phase-angle data that will be available from new micro-synchrophasors (µPMUs) to be utilized in existing distribution-grid planning and operations analysis. This data could augment the current diagnostic capabilities of grid analysis software, used in both planning and operations for applications such as fault location, and provide data for more accurate modeling of the distribution system. µPMUs are new distribution-grid sensors that will advance measurement and diagnostic capabilities and provide improved visibility of the distribution grid, enabling analysis of the grid’s increasingly complex loads that include features such as large volumes of distributed generation. Large volumes of DG leads to concerns on continued reliable operation of the grid, due to changing power flow characteristics and active generation, with its own protection and control capabilities. Using µPMU data on change in voltage phase angle between two points in conjunction with new and existing distribution-grid planning and operational tools is expected to enable model validation, state estimation, fault location, and renewable resource/load characterization. Our findings include: data measurement is outstripping the processing capabilities of planning and operational tools; not every tool can visualize a voltage phase-angle measurement to the degree of accuracy measured by advanced sensors, and the degree of accuracy in measurement required for the distribution grid is not defined; solving methods cannot handle the high volumes of data generated by modern sensors, so new models and solving methods (such as graph trace analysis) are needed; standardization of sensor-data communications platforms in planning and applications tools would allow integration of different vendors’ sensors and advanced measurement devices. In addition, data from advanced sources such as µPMUs could be used to validate models to improve/ensure accuracy, providing information on normally estimated values such as underground conductor impedance, and characterization of complex loads. Although the input of high-fidelity data to existing tools will be challenging, µPMU data on phase angle (as well as other data from advanced sensors) will be useful for basic operational decisions that are based on a trend of changing data.

The software that the utility industry currently uses may be insufficient to analyze the distribution grid as it rapidly modernizes to include active resources such as distributed generation, switch and voltage control, automation, and increasingly complex loads. Although planners and operators have traditionally viewed the distribution grid as a passive load, utilities and consultants increasingly need enhanced analysis that incorporates active distribution grid loads in order to ensure grid reliability. Numerous commercial and open-source tools are available for analyzing distribution grid systems. These tools vary in complexity from providing basic load-flow and capacity analysis under steady-state conditions to time-series analysis and even geographical representations of dynamic and transient events. The need for each type of analysis is not well understood in the industry, nor are the reasons that distribution analysis requires different techniques and toolsboth from those now available and from those used for transmission analysis. In addition, there is limited understanding of basic capability of the tools and how they should be practically applied to the evolving distribution system. The study reviews the features and state of the art capability of current tools, including usability and visualization, basic analysis functionality, advanced analysis including inverters, and renewable generation and load modeling. We also discuss the need for each type of distribution grid system analysis. In addition to reviewing basic functionality current models, we discuss dynamics and transient simulation in detail and draw conclusions about existing software?s ability to address the needs of the future distribution grid as well as the barriers to modernization of the distribution grid that are posed by the current state of software and model development. Among our conclusions are that accuracy, data transfer, and data processingabilities are key to future distribution grid modeling, and measured data sources are a key missing element . Modeling tools need to be calibrated based on measured grid data to validate their output in varied conditions such as high renewables penetration and rapidly changing topology. In addition, establishing a standardized data modeling format would enable users to transfer data among tools to take advantage of different analysis features. ?

Lincoln Planning Review, Vol. 5 No. 1-2 (2013)

Updated/final version posted May 16, 2016.

New Zealand’s total land area is approximately 26.8 million hectares, of which 8.5 million hectares are administered by the Department of Conservation (DOC). DOC recognises that it needs to partner with others to achieve its outcome statement. The purpose of this paper is to present three case studies where DOC is partnering with community groups so that the local community can gain environmental, social and economic benefits in line with the Department’s outcome statement. The authors had previous knowledge of the three case studies and received a small amount of funding from DOC to allow some follow-up interviews with key stakeholders in each of the case studies. The paper is presented in four main parts. Part 1 describes the research questions asked in the stakeholder interviews and explains their purpose. Parts 2, 3 and 4 present the three case studies: The Oparara Valley Project Trust; The Otago Central Rail Trail; and the Kiwi Ranger programme. The paper finishes with a summary of the major common themes revealed through these case studies., Updated/final version posted May 16, 2016.

Pigmentation is a model trait for evolutionary and developmental analysis that is particularly amenable to molecular investigation in the genus Drosophila. To better understand how this phenotype evolves, we examined divergent pigmentation and gene expression over developmental time in the dark-bodied Drosophila americana and its light-bodied sister species Drosophila novamexicana. Prior genetic analysis implicated two enzyme-encoding genes, tan and ebony, in pigmentation divergence between these species, but questions remain about the underlying molecular mechanisms. Here, we describe stages of pupal development in both species and use this staging to determine when pigmentation develops and diverges between D. americana and D. novamexicana. For the developmental stages encompassing pigment divergence, we compare mRNA expression of tan and ebony over time and between species. Finally, we use allele-specific expression assays to determine whether interspecific differences in mRNA abundance have a cis-regulatory basis and find evidence of cis-regulatory divergence for both tan and ebony. cis-regulatory divergence affecting tan had a small effect on mRNA abundance and was limited to a few developmental stages, yet previous data suggests that this divergence is likely to be biologically meaningful. Our study suggests that small and developmentally transient expression changes may contribute to phenotypic diversification more often than commonly appreciated. Recognizing the potential phenotypic impact of such changes is important for a scientific community increasingly focused on dissecting quantitative variation, but detecting these types of changes will be a major challenge to elucidating the molecular basis of complex traits.

Despite the operation of UK dispersal policy for nearly a decade, there has been little examination of the resulting impacts upon refugee mobility and integration. Implemented under the 1999 Immigration and Asylum Act, the rationale behind UK dispersal was to 'spread the burden' (Robinson et al. 2003). The housing of asylum seekers to various locations across the UK was employed to discourage settlement in the South East (and particularly London) and distribute costs amongst UK local authorities. The main aim was to relieve housing and social pressures in South East England, where the majority of new arrivals spontaneously concentrated. By instituting a policy of compulsory dispersal, UK asylum policy has removed an asylum seeker's freedom to choose where to settle. This means that since 2000, the UK Home Office has implemented a policy of dispersal whereby asylum seekers are housed on a no choice basis to locations around the country.

Emma Stewart discusses the main problems encountered by refugee and asylum seeker doctors in the United Kingdom. Her findings are based on 35 in-depth interviews. Sallie Nicholas explains what the Refugee Doctor Liaison Group is and how it can help.

Cross-sector collaboration between the tourism industry and voluntary sports clubs is a potential way to develop tourism destinations and activities for tourists. However, collaborations across sectors may be conflictual, and little is known about voluntary associations’ involvement in collaborative activities in the tourism sector.By applying a domain-based stakeholder theory, this paper aims to investigate the potentials and barriers to collaborative activities in the Danish tourism sector. Based on studies of three collaborative cases involving voluntary sports clubs in the tourism sector, this paper shows that voluntary sports clubs can both benefit from and be an asset in collaborations with tourism organisations. By using their organised volunteers and applying their knowledge of their sport and the local destinations, they can support and develop activities for tourists and by doing so support destination development.The study also underpins the importance of creating a mutual frame addressing issues like sectoral differences, values and clarifying organisational gains to minimise conflicts. Cross-sector collaboration between the tourism industry and voluntary sports clubs is a potential way to developtourism destinations and activities for tourists. However, collaborations across sectors may be conflictual, andlittle is known about voluntary associations’ involvement in collaborative activities in the tourism sector. Byapplying a domain-based stakeholder theory, this paper aims to investigate the potentials and barriers tocollaborative activities in the Danish tourism sector. Based on studies of three collaborative cases involvingvoluntary sports clubs in the tourism sector, this paper shows that voluntary sports clubs can both benefit fromand be an asset in collaborations with tourism organisations. By using their organised volunteers and applyingtheir knowledge of their sport and the local destinations, they can support and develop activities for tourists andby doing so support destination development. The study also underpins the importance of creating a mutualframe addressing issues like sectoral differences, values and clarifying organisational gains to minimise conflicts