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The aim of this scoping review is to describe the published gerotranscendence interventions targeting older adults’ caregivers and their outcomes.

Six databases were searched, and three studies were selected for analysis: one short-term quasi-experimental study and two observational studies.

The interventions consisted in an instructional moment about the gerotranscendence theory and a moment for sharing personal perceptions.

Gerotranscendence interventions can be essential for the caregivers to have a better relationship with the older adults, as they could improve their perception on their needs. Even though the interventions presented promising results benefiting caregivers and older adults, none of the studies confirmed that these changes persisted in the long term and additional studies are needed to robustly investigate this subject.

The purpose of this paper is to identify the difficulties and overload/burden experienced by family caregivers of older dependent people during the COVID-19 outbreak.

A descriptive and cross-sectional study was conducted. This work was guided according to the Guideline strengthenin the reporting of observational studies in epidemiology (EQUATOR checklist). The study included 65 family caregivers of older people with physical or mental dependence. Caregivers were selected by convenience sampling through a national association of informal caregivers. Participants responded to an online questionnaire, which aimed to assess difficulties and burdens experienced during the pandemic. Ethical principles were followed throughout the research.

The participants were mostly women, with an average age of 53 years, teleworking and cohabiting with the dependent elderly. Most caregivers reported that the pandemic has led to an increase in daily difficulties and associated burden. There was a statistically significant increase in hours devoted to care during the pandemic. Also, caregivers reported less time to take care of themselves and greater fatigue during this period.

This study had some limitations. For example, the small sample size. The sample was collected through an online version, and many caregivers did not have the digital skills needed to complete the questionnaires, and most of them were busy (divided between teleworking and household responsibilities). Another limitation was related to the perceived priority of caregivers because the majority of them considered this was a time-consuming study and saw no immediate benefits. Furthermore, they considered that this study has taken their time to manage all the provision of care to the elder relative and other activities related to their children who were also in quarantine. Finally, to date, there is no sufficient evidence to compare our results with other national and international studies. Further research is needed to allow the scalability of results and to apply the best available knowledge to mitigate the known and potential effects of this pandemic.

This study highlighted that frontline caregivers suffered a negative impact on their physical and mental health, in addition to a significant economic burden during the pandemic outbreak. More research in this field is needed to plan, train and manage large-scale public health emergencies.

The COVID-19 pandemic imposed physical distancing, which profoundly affected the physical and mental health of community-dwelling older people and their family caregivers. Because of the confinement and closure of some social support institutions, family caregivers found themselves in a complex situation, having to reconcile care and teleworking. Therefore, it is important to identify the impact of the COVID-19 pandemic on the difficulties and burden of these caregivers to implement and develop social and health support measures.

This paper addresses an increasingly important issue – the burden and difficulties of family caregivers, in the light of a new reality – the Covid-19 pandemic, which has brought new difficulties for this population.

This study aims to explore the evolutionary pattern of discussion topics over time in an online depression self-help community.

Using the Latent Dirichlet Allocation (LDA) method, the authors analyzed 17,534 posts and 138,567 comments posted over 8 years on an online depression self-help group in China and identified the major discussion topics. Based on significant changes in the frequency of posts over time, the authors identified five stages of development. Through a comparative analysis of discussion topics in the five stages, the authors identified the changes in the extent and range of topics over time. The authors discuss the influence of socio-cultural factors on depressed individuals' health information behavior.

The results illustrate an evolutionary pattern of topics in users' discussion in the online depression self-help group, including five distinct stages with a sequence of topic changes. The discussion topics of the group included self-reflection, daily record, peer diagnosis, companionship support and instrumental support. While some prominent topics were discussed frequently in each stage, some topics were short-lived.

While most prior research has ignored topic changes over time, the study takes an evolutionary perspective of online discussion topics among depressed individuals. The authors provide a nuanced account of the progression of topics through five distinct stages, showing that the community experienced a sequence of changes as it developed. Identifying this evolutionary pattern extends the scope of research on depression therapy in China and offers a deeper understanding of the support that individuals with depression seek, receive and provide online.

The main purpose of this paper is to review the related literature and propose a new decision‐support‐system (DSS) framework for marketing in the business‐to‐business (B2B) arena based on customer‐relationship management (CRM) and knowledge‐driven marketing to help related‐field graduate students and marketing managers.

Reviews a range of the most important works published between 1966 and 2004 in order to demonstrate both practical and theoretical aspects. The main method of this research is analytical and conceptual and the approach to this subject was to investigate the gap between marketing DSSs and analytical CRM.

Provides information about a customized marketing DSS in a B2B context, indicates related literature and frameworks and, finally, tests the ideas with a case study.

Outcomes and applications are identified for developing new activities in improving marketing decision making and marketing planning based on customer orientation and customer satisfaction.

Despite such interdependencies, the research in the fields of DSSs and CRM solutions has not adequately considered the integration of such systems. The novel contribution of this paper lies in integrating marketing DSSs and CRM with regard to knowledge‐driven marketing in B2B marketing, in both theoretical and practical aspects.

This paper aims to provide an assessment of tourism promotion in tourist destinations and airports (TPTDs) and to organize and classify the literature on tourism promotion, with the aim of staging the importance of this topic and encouraging future research in the projection of tourism and marketing sectors.

The paper uses the Social Sciences Citation Index (SSCI) database to analyze the bibliometric in TPTDs topic from 2000 to 2021. Additionally, the paper also uses the visualization of similarities (VOS) viewer software to map graphically the bibliographic material. The graphical analysis uses bibliographic coupling, co-citation, citation and co-occurrence of keywords.

This study provides an amended new definition of tourism promotion, which is the efficient management of a destination’s resources and strategic plans by destination marketing organizations (DMOs) to adapt the tourism supply to market trends and will empower tourists to visit such destinations. Furthermore, results also show a new paradigm applied to TPTDs topic and classified in five first-order research streams. Digital and mobile marketing, infrastructure, branding, quality, accessibility and information factors about a specific destination which are mostly demanded by tourists are considered as an important means of promotion for the tourism industry.

The contribution of this study is important to identify new challenges and opportunities for researchers, DMOs, airport and airlines operators and stakeholders, as disentangling existing contradictions and applying new theoretical framework to make better future decisions by researchers and organizations to provide higher quality to new research in the context of the TPTDs.

This chapter examines elements of the regulatory framework in effect in the Brazilian Border Region and neighboring countries as they interact with elements of the culture industry. Located in what is referred to as the Southern Arc, the first city we examine, Foz do Iguaçu-PR, lies on the border between Paraguay and Argentina. The second city is Tabatinga-AM, part of the conurbation region made up by a Colombian city and including the Peruvian border, coming to be known as the Northern Arc.

Our research was produced through the triangulation of primary data obtained in two trips into the field, carried out in 2013 and 2014, secondary data (official and semi-official) and academic bibliography.

Although projects relating to border integration, citizenship and economic development do exist, they do not question or challenge a nationalistic and politicized regime of representation portraying border areas primarily as routes for cocaine traffic or home to terrorist cells. The representation regime disseminated by mainstream media thus reduces the rich color and dynamics of the region to impoverished tones of gray recognizable in terms of “the name of the other.”

This chapter provides a relevant contribution to our understanding of communication processes carried out in two different regions of Brazil, both of them located far from the spotlights of mainstream Brazilian media. We employ a theoretical framework that combines geography of communication with perspectives on communication in borderland regions.

Enterprise knowledge graphs (EKG) in resource description framework (RDF) consolidate and semantically integrate heterogeneous data sources into a comprehensive dataspace. However, to make an external relational data source accessible through an EKG, an RDF view of the underlying relational database, called an RDB2RDF view, must be created. The RDB2RDF view should be materialized in situations where live access to the data source is not possible, or the data source imposes restrictions on the type of query forms and the number of results. In this case, a mechanism for maintaining the materialized view data up-to-date is also required. The purpose of this paper is to address the problem of the efficient maintenance of externally materialized RDB2RDF views.

This paper proposes a formal framework for the incremental maintenance of externally materialized RDB2RDF views, in which the server computes and publishes changesets, indicating the difference between the two states of the view. The EKG system can then download the changesets and synchronize the externally materialized view. The changesets are computed based solely on the update and the source database state and require no access to the content of the view.

The central result of this paper shows that changesets computed according to the formal framework correctly maintain the externally materialized RDB2RDF view. The experiments indicate that the proposed strategy supports live synchronization of large RDB2RDF views and that the time taken to compute the changesets with the proposed approach was almost three orders of magnitude smaller than partial rematerialization and three orders of magnitude smaller than full rematerialization.

The main idea that differentiates the proposed approach from previous work on incremental view maintenance is to explore the object-preserving property of typical RDB2RDF views so that the solution can deal with views with duplicates. The algorithms for the incremental maintenance of relational views with duplicates published in the literature require querying the materialized view data to precisely compute the changesets. By contrast, the approach proposed in this paper requires no access to view data. This is important when the view is maintained externally, because accessing a remote data source may be too slow.

Smart technologies and connected objects are rapidly changing the organizational frontline. Yet, our understanding of how these technologies infuse service encounters remains limited. Therefore, the purpose of this paper is to update existing classifications of Frontline Service Technology (FST) infusion. Moreover, the authors discuss three promising smart and connected technologies – conversational agents, extended reality (XR) and blockchain technology – and their respective implications for customers, frontline employees and service organizations.

This paper uses a conceptual approach integrating existing work on FST infusion with artificial intelligence, robotics, XR and blockchain literature, while also building on insights gathered through expert interviews and focus group conversations with members of two service research centers.

The authors define FST and propose a set of FST infusion archetypes at the organizational frontline. Additionally, the authors develop future research directions focused on understanding how conversational agents, XR and blockchain technology will impact service.

This paper updates and extends existing classifications of FST, while paving the road for further work on FST infusion.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.

Integrating complementary information with high-quality visual perception is essential in infrared and visible image fusion. Contrast-enhanced fusion required for target detection in military, navigation and surveillance applications, where visible images are captured at low-light conditions, is a challenging task. This paper aims to focus on the enhancement of poorly illuminated low-light images through decomposition prior to fusion, to provide high visual quality.

In this paper, a two-step process is implemented to improve the visual quality. First, the low-light visible image is decomposed to dark and bright image components. The decomposition is accomplished based on the selection of a threshold using Renyi’s entropy maximization. The decomposed dark and bright images are intensified with the stochastic resonance (SR) model. Second, texture information-based weighted average scheme for low-frequency coefficients and select maximum precept for high-frequency coefficients are used in the discrete wavelet transform (DWT) domain.

Simulations in MATLAB were carried out on various test images. The qualitative and quantitative evaluations of the proposed method show improvement in edge-based and information-based metrics compared to several existing fusion techniques.

In this work, a high-contrast, edge-preserved and brightness-improved image is obtained by the processing steps considered in this work to get good visual quality.