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This study aims to reduce data bias during human activity and increase the accuracy of activity recognition.

A convolutional neural network and a bidirectional long short-term memory model are used to automatically capture feature information of time series from raw sensor data and use a self-attention mechanism to learn select potential relationships of essential time points. The proposed model has been evaluated on six publicly available data sets and verified that the performance is significantly improved by combining the self-attentive mechanism with deep convolutional networks and recursive layers.

The proposed method significantly improves accuracy over the state-of-the-art method between different data sets, demonstrating the superiority of the proposed method in intelligent sensor systems.

Using deep learning frameworks, especially activity recognition using self-attention mechanisms, greatly improves recognition accuracy.

Swedish society has systematically worked to improve children's health and well-being since the early twentieth century and is considered a leading figure globally in battling violence against children. Awareness of violence against children and its detrimental effects on development and health is generally high in Sweden. Violence is also broadly recognised as a violation of human rights. A ban on corporal punishment was enacted in 1948 in social childcare institutions, in 1958 in schools, and in 1979 at home. The more recent landmark was the United Nations Convention on the Rights of the Child, established as law on 1 January 2020. In line with convention's Article 12, stating that a child has the right to express their views in all matters affecting them, more attention to child participation has been paid since 2020. This chapter provides several recent examples of strategic measures that have been used to enhance child participation in governmental assignments and enquiries and state-funded research. We discuss the examples considering the United Nations convention and child participation methods and pinpoint opportunities and obstacles to further develop and consolidate child participation as a norm in publicly funded societal activities.

Soil quality is in decline in many parts of the world, in part due to the intensification of agricultural practices. Whilst economic instruments and regulations can help incentivise uptake of more sustainable soil management practices, they rarely motivate long-term behavior change when used alone. There has been increasing attention towards the complex social factors that affect uptake of sustainable soil management practices. To understand why some communities try these practices whilst others do not, we undertook a narrative review to understand how social capital influences adoption in developed nations. We found that the four components of social capital – trust, norms, connectedness and power – can all influence the decision of farmers to change their soil management. Specifically, information flows more effectively across trusted, diverse networks where social norms exist to encourage innovation. Uptake is more limited in homogenous, close-knit farming communities that do not have many links with non-farmers and where there is a strong social norm to adhere to the status quo. Power can enhance or inhibit uptake depending on its characteristics. Future research, policy and practice should consider whether a lack of social capital could hinder uptake of new practices and, if so, which aspects of social capital could be developed to increase adoption of sustainable soil management practices. Enabling diverse, collaborative groups (including farmers, advisers and government officials) to work constructively together could help build social capital, where they can co-define, -develop and -enact measures to sustainably manage soils.

Based on the principles of the social capital theory (SCT), this study aimed to generate hypotheses and evaluate a mediated moderated model that examined the impact of social capital on online brand community happiness (OBCH).

Using 215 online questionnaires from users of private online brand communities (OBCs) , researchers examined the hypothesized connections between variables. The SPSS 21.0 and AMOS 26.0 were applied to fulfill the purpose.

For the goodness of model fit, the authors have applied cut off criteria for fit indexes given by Hu and Bentler (1999) and model-fit measures indicators, i.e. CMIN/DF 1.397, CFI 0.958, SRMR 0.045, RMSEA 0.043 and PCLOSE 0.866, which meet the minimum acceptable criteria. Based on the results, social capital significantly affects psychological well-being (PWB), which, consequently, leads toward increased happiness among OBCs. Furthermore, membership duration moderates the relationship between PWB and OBCs.

The authors have utilized a cross-sectional research design, and it limits the researcher’s ability to generalize the findings. These findings imply how social capital leverages PWB and OBCH. Moreover, the presence of membership duration helps to understand that members who spend more time in the community are happier in the OBCs.

In this age of social media, it provides valuable guidance to the administrators of private Facebook groups dedicated to specific brands, enhancing the definition and development of OBC operations and community interactions.

This research takes a broader look at social capital’s impact on happiness among private OBCs. The current research contributes to the existing body of work by emphasizing the role of PWB in generating happiness. The study is novel in examining the mediating moderating model of PWB and membership duration to explore deep insights for social media platforms.

This study aims to show that the manner of fabric deformation during relaxation depends upon the twill angle line and its direction (twill S or Z). The quantity of the skewness is related to the float length and the twill angle in reverse, with the warp tension when changed from cotton to lycra filling yarns.

The experimental analytical method.

The most significant goals presented from this investigation are cost savings, time of production and metaphorically; new demands on denim fabric patterns presented.

Moving away from just chasing cheap, more innovative and progressive for manufacturing and end users search for denim, this paper served to shift the market share map for denim manufacturers, which is looks on nearly the most common problem facing the denim industry; skewness.

Efficient and effective knowledge transfer is important in complex building renovation projects. The addition of sustainability requirements in building renovation adds complexity. This paper aims to investigate the development of innovative public procurement schemes to support sustainable building renovation projects. These blueprints for procurement innovation can support similar efforts in other countries.

This study is based on a longitudinal case study using interviews with primary stakeholders and workshops with industry practitioners to supplement the analysis of public tender documents from the Danish public building clients.

The key tenants of the Danish model for strategic partnerships are a single strategic partner, systematic conflict resolution, framework agreements, risk management and joint educational programs. Three phases in the development of the procurement scheme are identified: experiment, definition and replication.

Strategic partnerships and other types of relational contract schemes are not very prevalent in most countries. How these contracts are developed and defined is not well understood. This paper shows how one such contracting scheme is developed, how it is defined and replicated.