Place branding in a bottle: management strategies for unplanned messages

Purpose This paper explores an important yet overlooked concept in place branding literature, unplanned messages. Focusing on unplanned messages, this study aims to contribute to a better understanding of the concept of spontaneous order in place branding and how to manage the unplanned communication process so as to ensure a high reputational status for a place. Design/methodology/approach This paper builds on past research on place brand communication and proposes a conceptual framework for unplanned messages. Findings Classification schemes for places and place brands are proposed, contributing to place brand management in three aspects: reviewing of decisions and strategies undertaken, assessing current situation and planning way forward when it comes to priorities for place management and development. Originality/value To the best of the authors’ knowledge, this is the first paper that introduces the emergent image and presents a classification scheme for places that contributes to a strategic management program of unplanned messages in place branding.

Deep Learning-Based Water Crystal Classification

Much of the earth’s surface is covered by water. As was pointed out in the 2020 edition of the World Water Development Report, climate change challenges the sustainability of global water resources, so it is important to monitor the quality of water to preserve sustainable water resources. Quality of water can be related to the structure of water crystal, the solid-state of water, so methods to understand water crystals can help to improve water quality. As a first step, a water crystal exploratory analysis has been initiated with the cooperation with the Emoto Peace Project (EPP). The 5K EPP dataset has been created as the first world-wide small dataset of water crystals. Our research focused on reducing the inherent limitations when fitting machine learning models to the 5K EPP dataset. One major result is the classification of water crystals and how to split our small dataset into several related groups. Using the 5K EPP dataset of human observations and past research on snow crystal classification, we created a simple set of visual labels to identify water crystal shapes, in 13 categories. A deep learning-based method has been used to automatically do the classification task with a subset of the label dataset. The classification achieved high accuracy when using a fine-tuning technique.

The Five-Factor Perceived Shared Mental Model Scale: A Consolidation of Items Across the Contemporary Literature

Literature on Shared Mental Models (SMMs) has been burgeoning in recent years and this has provided increasingly detailed insight and evidence into the importance of SMMs within specific contexts. However, because past research predominantly focused on SMM structure as measured by diverse, context-dependent measures, a consolidated multi-dimensional measure of perceived SMMs that can be used across diverse team contexts is currently lacking. Furthermore, different conceptualizations of the dimensionality of SMMs exist, which further impedes the comparison between studies. These key limitations might hinder future development in the SMM literature. We argue that the field of SMMs has now matured enough that it is possible to take a deductive approach and evaluate the prior studies in order to refine the key SMMs dimensions, operationalizations, and measurement. Hence, we take a three-stage approach to consolidate existing literature scale-based measures of SMMs, using four samples. Ultimately, this leads to a 20-item five-dimensional scale (i.e., equipment, execution, interaction, composition, and temporal SMMs) – the Five Factor Perceived Shared Mental Model Scale (5-PSMMS). Our scale provides scholars with a tool which enables the measurement, and comparison, of SMMs across diverse team contexts. It offers practitioners the option to more straightforwardly assess perceived SMMs in their teams, allowing the identification of challenges in their teams and facilitating the design of appropriate interventions.

Refining the maturity principle of personality development by examining facets, close others, and co-maturation

Across adulthood, people tend to experience psychologically adaptive personality trait change, a robust finding known as the maturity principle of personality development. We identify three open areas of inquiry regarding personality maturation and address them in a pre-registered study, using a sample of US adults ages 30-70 who completed a battery of personality questionnaires and were rated by two close others twice over an 11-to-16 year period (Nwave1 = 1,785, Nwave2 = 401). First, it is unclear whether the maturity principle applies to narrower facet-level traits, as there has been little research into facet development across adulthood. We examined 47 facet scales and found that most developed adaptively across ages 30-70, but some did not mature, and three healthy facets (Activity, Openness to Feelings, and Social Potency) declined significantly across adulthood, counter to the maturity principle. Second, no longitudinal research has tested whether personality maturation is perceived similarly by close others. We compared self- and other- rated development and found that close others perceived greater maturation than the self in Agreeableness, Conscientiousness, Neuroticism, and five facets. Finally, few studies have examined whether traits co-mature in adulthood. We found that correlated change between healthy facets was small in magnitude. Additionally, we found tighter co-maturation in other-reported development than self-reported development. We use these results and past research to expand and refine our understanding of personality maturation across adulthood.

Communicating Reproductive Coercion in the Context of Domestic and Family Violence: Perspectives of Service Providers Supporting Migrant and Refugee Women

The current study explored the language barriers to help-seeking in the context of reproductive coercion and abuse (RCA), domestic and family violence (DFV), and sexual violence (SV), drawing on observations by key informants supporting women from migrant and refugee communities. A lack of shared language has been identified as a key barrier to help seeking for migrant and refugee women experiencing DFV more broadly, though how language intersects with help seeking in the context of RCA is yet to be investigated. We conducted 6 focus groups with 38 lawyers, counsellors, and social workers supporting women experiencing DFV in Brisbane and Melbourne, Australia. Our findings address two main areas. First, consistent with past research in DFV, our participants identified language as a barrier for women when communicating about sexual and reproductive issues in the context of health and police encounters. More specifically, our findings suggest that the inability of health professionals and police to communicate with women who have low or no English proficiency not only negatively impacted victims/survivors’ ability to access support, but also facilitated the perpetration of RCA. We conclude that language can be a mechanism through which coercive control is enacted by perpetrators of RCA and health and policing systems may not be equipped to recognise and address this issue. We also suggest that greater conceptual clarity of RCA is needed within the DFV sector in order to tailor responses.

Diversity and Inclusion Experience of Trans Workers: The Missing Link of Trans-Friendly Environment in Organizations

The transgender community, one of the most marginalized communities, faces a range of discriminatory issues in workplaces and educational institutions. The study seeks to investigate the extent of organizational support ensured by the workplaces to create a transgender-friendly environment in Bangladesh. The paper opted for a mixed study and surveyed 47 trans workers using a questionnaire. The responses yielded quantitative data that was analyzed using SPSS. The qualitative data was collected through focus group discussions with seven respondents. The study findings showed that the discrimination and exclusion experience is negative for trans workers of Bangladeshi organizations and educational institutions. While most of the respondents felt primarily excluded in the formal setting, they feel that they have been intentionally left out when they meet their coworkers in informal or social gatherings. The outcomes of the discrimination involved forced termination and absenteeism on the ground of their non-binary gender identity. It was also found that many Bangladeshi organizations still do not want trans workers to represent them. To the best of researchers’ understanding, the past research on the transgender community’s diversity and inclusion experience in organizations is rarely covered from the developing country’s perspective. This paper attempts to fulfill the study gap. Recommendations for good practices to ensure diversity is proposed to companies. Creating a more inclusive workplace is expected to create a robust economic and social impact for developing countries like Bangladesh. Keywords: Bangladesh, Discrimination, Diversity, Inclusion, Trans workers, Trans-friendly environment, Organizations

Neural Circuits and Some New Factors Involved in Hippocampal Memory

Humans and other primates have memory, and the hippocampus plays a critical role in this process. The neural circuitry is one of the structural foundations for the hippocampus in exerting memory function. To understand the relationship between the hippocampus and memory, we need to understand neural circuits. Past research has identified several classical neural circuits involved in memory. Although there are challenges with the study of hippocampal neural circuits, research on this topic has continued, and some progress has been made. Here, we discuss recent advances in our understanding of hippocampal neural circuit mechanisms and some of the newly discovered factors that affect memory. Substantial progress has been made regarding hippocampal memory circuits and Alzheimer’s disease. However, it is unclear whether these novel findings regarding hippocampal memory circuits hold promise for human memory studies. Additional research on this topic is needed.

The Association Between Loneliness and Inflammation: Findings From an Older Adult Sample

Loneliness has been linked to poor mental and physical health outcomes. Past research suggests that inflammation is a potential pathway linking loneliness and health, but little is known about how loneliness assessed in daily life links with inflammation, or about linkages between loneliness and inflammation among older adults specifically. As part of a larger investigation, we examined the cross-sectional associations between loneliness and a panel of both basal and LPS-stimulated inflammatory markers. Participants were 222 socioeconomically and racially diverse older adults (aged 70–90 years; 38% Black; 13% Hispanic) systematically recruited from the Bronx, NY. Loneliness was measured in two ways, with a retrospective trait measure (the UCLA Three Item Loneliness Scale) and an aggregated momentary measure assessed via ecological momentary assessment (EMA) across 14 days. Inflammatory markers included both basal levels of C-reactive protein (CRP) and cytokines (IL-1β, IL-4, IL-6, IL-8, IL-10, TNF-α) and LPS-stimulated levels of the same cytokines. Multiple regression analyses controlled for age, body-mass index, race, and depressive symptoms. Moderation by gender and race were also explored. Both higher trait loneliness and aggregated momentary measures of loneliness were associated with higher levels of CRP (β = 0.16, p = 0.02; β = 0.15, p = 0.03, respectively). There were no significant associations between loneliness and basal or stimulated cytokines and neither gender nor race were significant moderators. Results extend prior research linking loneliness with systemic inflammation in several ways, including by examining this connection among a sample of older adults and using a measure of aggregated momentary loneliness.