Promoting Health in a Rural Community in the Basque Country by Leveraging Health Assets Identified through a Community Health Diagnosis

Salutogenesis focuses on factors that generate health and is a useful construct for identifying factors that promote health and for guiding activities to this end. This article describes health assets identified in a community diagnosis and how to leverage them with actions for improvement to deepen the understanding of this concept and its impact on health promotion. An intervention strategy was designed following the principles of participatory action research (PAR). The study was carried out in Mañaria (Basque Country, Spain) using semi-structured and in-depth interviews, participant observation, desk review, and photographs, alongside different participatory strategies. Twenty-six women were interviewed, 21 of whom were community inhabitants, and five were key informants who worked in public or private institutions. Participant recruitment stopped when data saturation was reached. Data were analysed through discourse analysis, progressive coding, and categorisation. Six meta-categories emerged, and for each of these categories, health assets were identified together with actions to improve the community’s health. The latter were presented by the community to the authorities to trigger specific actions towards improving the health of the community. Identification of health assets led to different actions to improve the health of the community including improving the existing physical and social environments, personal and group skills, and the promotion of physical, social, emotional and cultural well-being.

How social media's cause-related marketing activity enhances consumer citizenship behavior: the mediating role of community identification

PurposeLimited research has explored why and how cause-related marketing on social media influences consumers' responses. Drawing upon balance theory and consistency theory, this study aims to identify the mechanism of cause-related marketing on social media.Design/methodology/approachData were collected from a sample of 360 users of cause-related marketing campaigns on social media and analyzed using structural equation modeling in Mplus 8.0.FindingsThe three types of congruence – self-image congruence, brand-image congruence and value congruence – can serve as sub-dimensions of perceived fit between a consumer, brand and cause of a cause-related marketing campaign on social media. Importantly, these perceived fit sub-dimensions positively influence community identification and, therefore, influence consumer citizenship behaviors.Practical implicationsThe findings provide theoretical and practical contributions for a brand to undertake cause-related marketing on social media.Originality/valueThis study clarifies the myth of the perceived fit of cause-related marketing on social media and examines the perceived fit sub-dimensions’ mechanism of consumers' responses through community identification.

Hungry for food and community: A study of visitors to food and wine festivals

The present study explored the effects of various food and wine festival experience elements (e.g. authenticity, entertainment, and spending time with others) on visitors’ sense of community, identification, and place attachment. The authors conducted survey research with 304 former visitors to food festivals. Data were analyzed using partial least square – structural equation modeling. Results revealed that food and wine festival experience elements (e.g. authenticity, entertainment, and spending time with friends and family) positively influenced visitors’ sense of community, identification with the event, and attachment to the hosting destination. Significant findings relating to the mediating effect of sense of community were also disclosed throughout this study. The present research exposes some of the expectations held by visitors to food and wine festivals. Furthermore, this study contributes to the literature by exposing the role of community and customer interactions in creating the overall food and beverage experience and forming a destination's image.

Deep Learning-Based Community Detection Approach on Multimedia Social Networks

Exploiting multimedia data to analyze social networks has recently become one the most challenging issues for Social Network Analysis (SNA), leading to defining Multimedia Social Networks (MSNs). In particular, these networks consider new ways of interaction and further relationships among users to support various SNA tasks: influence analysis, expert finding, community identification, item recommendation, and so on. In this paper, we present a hypergraph-based data model to represent all the different types of relationships among users within an MSN, often mediated by multimedia data. In particular, by considering only user-to-user paths that exploit particular hyperarcs and relevant to a given application, we were able to transform the initial hypergraph into a proper adjacency matrix, where each element represents the strength of the link between two users. This matrix was then computed in a novel way through a Convolutional Neural Network (CNN), suitably modified to handle high data sparsity, in order to generate communities among users. Several experiments on standard datasets showed the effectiveness of the proposed methodology compared to other approaches in the literature.

The Employment Ecosystem of Bizkaia as an Emerging Common in the Face of the Impact of COVID-19

In the context of the impact of COVID-19 pandemic in Bizkaia (Basque Country, Spain), and from the renewed Commons paradigm, this research analyzes the initial response given by the region’s employment ecosystem. Based on extensive quantitative and qualitative methods, it empirically explores the catalytic role that local public and social entities could play in coordinating an organized and systemic response of the employment-related stakeholders to an external impact, such as the current pandemic. The study of databases specifically provided by the Public Administrations for this research, in combination with two survey processes conducted to the main agents of the ecosystem, led to a greater understanding of the benefits of an organized and systemic reaction. From the community identification of a priori unrecognized impacts by individual actors to the proposal of actions closely connected to their short and long-term needs, the article finally presents recommendations aimed at strengthening the resilience and collaboration of the collective action.

Network analysis of ten thousand genomes shed light on Pseudomonas diversity and classification

The growth of sequenced bacterial genomes has revolutionized the assessment of microbial diversity. Pseudomonas is a widely diverse genus, comprising isolates associated with processes from pathogenesis to biotechnological applications. However, this high diversity led to historical taxonomic inconsistencies. Although type strains have been employed to estimate Pseudomonas diversity, they represent a small fraction of the genomic diversity at a genus level. We used 10,035 available Pseudomonas genomes, including 210 type strains, to build a genomic distance network to estimate the number of species through community identification. We identified inconsistencies with several type strains and found that 25.65% of the Pseudomonas genomes deposited on Genbank are misclassified. We retrieved the 13 main Pseudomonas groups and proposed P. alcaligenes as a new group. Finally, this work provides new insights on the phylogenetic boundaries of Pseudomonas and highlights that the Pseudomonas diversity has been hitherto overlooked.

LOL-Trasianka: what Language do the Belarus Network Communities Use?

The article is devoted to LOL-trasianka – a network variety of mixed Belarus-Russian speech, which is actively used in Belarus Internet communities as a source of comic and a trigger for laughing communicative situations. It was found that laughter discourse in LOL-trasianka is characterized by deliberate distortion of the norms of both Russian and Belarus languages, hypertrophied interference, violation of ethical and etiquette rules of communication, demonstrative marginalization of the speech flow, general intention of irony and sarcasm. Sociolinguistic and communicative-discursive factors that determined the status of LOL-trasianka as the main code resource of Internet communities with an ironic-grotesque discourse of a socially critical orientation are a) stereotypes of marking the state Russian and Belarus languages and their variants; b) strengthening the symbolic function of the Belarus language; c) disdainful attitude towards mixed Belarus-Russian speech; d) expanding the scope of use of trasianka. It was found that in the communicative interaction of participants in the analyzed communities, LOL-trasianka performs a number of functions: creative (is a means of self-expression of participants), emotional expressive (allows the writer to convey a palette of emotions), integrative (unites members of the online community), identification (provides adequate perception and understanding each other’s intentions), interpretive (forms an alternative laughing reality), dissociative (expresses the protest of community members, dissatisfaction with the surrounding reality).

Kerjasama Pusat Kegiatan Belajar Masyarakat dengan Pemerintah Desa sebagai Upaya Meningkatkan Partisipasi Pendidikan Masyarakat

This study aimed to analyze educational strategies and patterns of cooperation between community learning activity centers and village governments, and analyze the constraints and efforts made in the process of increasing community education participation. The study used a qualitative approach with a case study method. The cases were chosen were typical cases that be able to represent similar cases, namely a form of collaboration between the community learning activity center and the village government. The qualitative data analysis used was pattern matchmaking analysis, to answer big questions related to strategies, forms, constraints, and solutions in building cooperation between community learning activity centers and village governments. The obtained results indicated that the strategies used by the community learning activity center in the process of increasing community education participation were in the form of community identification strategies, programs, and partnerships. The pattern of cooperation between the community learning center and the village government was in the form of coaching and mentoring, with the form of cooperation in the form of support for policy regulations, legal protection, budget assistance, mentoring, coaching, and motivation. The obstacles faced by the community learning activity center were weak community commitment and less than optimal program socialization. Efforts to overcome these obstacles were carried out by implementing performance and performance strategies and increasing innovation in disseminating educational programs.