Scopus

As life expectancy increases, societies need to implement strategies that support healthy ageing in place. Community mobility is a vital part of this, as older adults need access to healthcare, shops, and local amenities to maintain their health, independence, and social engagement. Aim: The COST Action BOPALIM (Building Opportunities for Participation and Accessibility through Lifelong Community Mobility) aims to create a framework to guide European and country-specific efforts related to the provision of accessible and user-friendly transport options for older adults. Method: Subtask 3.3 has collected case studies from COST Action members regarding appropriate and affordable public transport solutions under the umbrella of community mobility. These case studies were synthesised to create 5–10 vignettes, combining narrative and thematic approaches. Preliminary findings: The collected case studies address themes related to the usability, safety, and accessibility of public transport. They also explore how technological advancements can function either as additional barriers or as practical solutions for participation, often embedded within broader political issues such as cost and environmental concerns. These findings are consistent with the literature review but add a more nuanced understanding of contextual factors and personal experiences of mobility issues of older adults in Europe and beyond.

Henri’o Bergsono gyvybės koncepcija gali suteikti pagrindą darnaus vystymosi doktri-nos filosofijai. Straipsnyje išskiriami ne tik trys esminiai šios doktrinos komponentai (ekologija, ekonomika, socialinė politika), ne tik du jos realizacijai būtini kontekstai (technologijos, kultūra arba mąstymo pokytis), bet ir visų šių struktūrinių doktrinos dalių tarpusavio santykio specifika. Analizuojant du gyvybės patyrimo modalumus, išvystytus H. Bergsono filosofijoje, parodoma, kaip darnaus vystymosi doktrinos rea-lizavimas struktūriškai priklauso nuo šių modalumų. Kiekvienas iš doktrinos kompo-nentų nagrinėjamas sąveikoje su élan vital ir jo fundamentalia raiška žmogaus sąmonėje, H. Bergsono vadinama „kuriančiąja emocija“.

Scope 3 greenhouse gas (GHG) emissions and cyber-physical resilience are typically governed through separate institutional and operational frameworks, despite their growing interdependence in digitally mediated supply chains. This separation creates an execution gap that fragments decarbonization, resilience, and investment decisions across data architectures and organizational functions. Grounded in resilience theory and a transdisciplinary systems perspective, this study advances the testable hypothesis that institutional separation of Scope 3 emissions management and cyber-physical resilience is associated with lower system performance, whereas integration through digital governance mechanisms improves operational resilience, emissions measurement accuracy, and financial decision coherence. System performance is operationalized through three dimensions: (1) supply-chain observability and data integration; (2) resilience capacity across the prepare–absorb–recover–adapt cycle; and (3) coherence of investment decision-making under dual materiality. The study applies a structured integrative review with analytical triangulation across sectoral datasets, cyber-risk distributions, and governance frameworks, complemented by an illustrative application in emergency medical services (EMS) in Lithuania. Findings indicate that Scope 3 burdens and cyber-physical risks co-locate in supplier-intensive and digitally dependent sectors, revealing systemic vulnerability; and that effective integration requires a joint governance architecture linking digital observability, standards, financial evaluation, and human-centered decision-making. The article contributes an integrative framework that reframes decarbonization and cyber-physical resilience as a unified systems problem and provides an operational basis for coordinated governance across sustainable supply chains.

Due to the presumed high risk for prolonged grief disorder (PGD) in people bereaved during the COVID-19 pandemic, it is crucial to examine how grief develops over time in this population. This is the first study examining longitudinal symptom-profiles of PGD severity in people bereaved during the pandemic. We aimed to identify latent trajectories of DSM-5-TR PGD severity and predictors thereof in Dutch adults bereaved during the pandemic. Latent class growth modeling was employed to identify differential trajectories of PGD severity in 266 people bereaved on average 115 days prior when entering the study. Participants completed a PGD measure online (using the Traumatic Grief Inventory-Self Report-Plus) at three time-intervals six months apart. Associations between class-membership and socio-demographic, loss-related, health-related, and trauma-related characteristics were examined using multinomial logistic regression. Three trajectories were identified: Low/decreasing PGD symptoms (74%), Mild/stable PGD symptoms (18%), and High/decreasing PGD trajectory (8%). Closer kinship to the deceased, poorer self-rated health status, and having a mental disorder increased the likelihood of belonging to the Mild/stable PGD symptoms and High/decreasing PGD trajectories. This study provides insights in longitudinal PGD symptom-profiles in people bereaved during the pandemic. We found that PGD severity either remained low/mild or eventually decreased over time.

Nature connectedness, a widely used psychological construct which encompasses affective and cognitive aspects of the relationship a person has with nature, has become a central variable of interest in environmental psychology literature. This interest is motivated partially by its enhancing effects on well-being outcomes. However, comprehensive international evaluations of the link between nature connectedness and well-being remain sparse. In this registered report, we propose a secondary analysis of previously collected data to examine how individual differences in nature connectedness relate to multiple aspects of well-being (i.e., purpose in life, hope, mindfulness, life satisfaction, and optimism) across 75 countries (N = 36,803). Within-country and between-country analyses (linear and mixed regressions) suggested that nature connectedness is a robust positive predictor of well-being. Our findings highlight the importance of nature connected for well-being globally, especially for communities with low access to nature and social resources.

The profound physical, emotional, and social changes that accompany adolescence typically coincide with increases in maternal stress and decreases in the quality of the mother–child relationship. Does one follow from the other? The present longitudinal study tested the hypothesis that perceived changes in adolescent children forecast increases in maternal stress, which contribute to deteriorating mother–child relationship quality, anticipating more perceived changes in children. Participants were 299 mothers (Mage = 40.19, SD = 5.01 years) in two-parent households, with children (152 boys and 147 girls; ages 9–13) attending public primary and middle schools in an eastern Lithuanian community. Nearly all participants were ethnic Lithuanian. Maternal reports of stress, perceived changes in children, and mother–child relationship quality (i.e., negativity and social support) were collected three times over the course of a year. Direct longitudinal associations emerged from maternal perceptions of changes in the child to heightened maternal stress, from maternal stress to deteriorating mother–child relationship quality, and from diminished relationship quality to escalating changes in children. Full-longitudinal mediation analyses confirmed each of the hypothesized indirect effects: (a) Time 1 perceived changes in the child → Time 2 maternal stress → Time 3 mother–child relationship quality, (b) Time 1 maternal stress → Time 2 mother–child relationship quality → Time 3 perceived changes in the child, and (c) Time 1 mother–child relationship quality → Time 2 perceived changes in the child → Time 3 maternal stress.

Purpose. To investigate the state of the national logistics system of Ukraine and propose measures to improve logistics processes in the field of international business project management and cross-border logistics. To propose approaches to adapting logistics processes in crisis conditions and identify factors complicating strategic management in these conditions. Methodology. The dialectical method allowed determining the significance of the impact of the uncertainty of the trade policy of partner countries on the national logistics process. Using the integrated method, it was proposed to form specialized digital logistics systems and implement an integrated digital system that should combine the functions of logistics systems and DSS- and ERP-systems of manufacturers. The method of comparison based on the components of the Logistics Performance Index made it possible to identify problems in the national logistics system. Findings. It is proposed to review the principles of building specialized logistics management systems and introduce real-time optimization of cargo flows through border checkpoints. It is proposed to form an integrated DSS- and ERP-system that should combine the functions of software complexes of logistics companies and digital systems of counterparties. It is indicated that the formation of management strategies is complicated by the increasing uncertainty of business processes. It is established that this uncertainty is not only2 a consequence of war and internal factors, but also a consequence of the influence of uncertainty in the trade policy of partner countries. Originality. It is indicated that the logistics chain should not be treated as a linearly ordered set of links, but should be considered as a more universal variable tree-like structure, the routes of which are selected taking risks into account. The proposed comprehensive application of a tree-like logistics chain with a block strategy will increase the adaptability of logistics companies to challenges and their competitiveness. Practical value. Promising directions for adapting logistics processes to crisis conditions are indicated, and directions for improving management strategies for international business project management are proposed.

Background. Though technology-facilitated partner stalking is a prevalent form of abuse, prosecutorial research in this field is underdeveloped. Online and offline violence reinforce each other, but this interaction could be leveraged as technology-enabled resistance and evidence. Method. This study employs a doctrinal legal research design, combined with qualitative content analysis, focused on Lithuania’s national-level case law. Fifty-seven court and pre-trial decisions were compiled into a dataset for the study. The main objective of this paper is to identify typical tech stalking behaviors and the criminal law’s response to them. Results and Conclusions. The national case law analysis supports previous empirical findings regarding motivation, typical tactics, and effects of technology-facilitated partner stalking. Deficiencies of national anti-stalking legislation reinforce the difficulties of prosecuting tech abuse. Charging decisions are not consistent and get even more complicated in cases of polyvictimization and non-physical violence. The success of criminal proceedings largely depends on the active involvement of victims, thereby potentially leading to repeat, extended, and secondary victimization. The practice of lenient sanctioning and technical challenges adds constraints on effective prosecution. However, even within the existing national legal framework, there is potential to improve the criminal law’s response by developing digital literacy of the population, building specialized professional capacities (both legal and technical) within law agencies, and expanding the responsibilities of tech developers.

The rapid expansion of the European Union’s digital regulatory framework and recent adoption of the Artificial Intelligence Act (AI Act) has introduced complex, overlapping compliance obligations for AI systems, and consequently, their developers and users. These challenges are amplified for dual-use AI systems, which may be developed for civilian markets yet deployed in military contexts, requiring alignment with both EU regulatory instruments and defence-specific frameworks such as NATO policies. Existing approaches to regulatory compliance remain largely manual, fragmented, and difficult to scale, particularly when legal requirements must be translated into actionable, system-level specifications for dual-use contexts. This paper proposes a novel ontology-based methodology for automated regulatory compliance requirements specification for dual-use AI systems. The methodology systematically integrates legal and technical perspectives by structuring compliance obligations across deployment domains (civilian and defence), system lifecycle phases, and requirement categories, including privacy- and security-related obligations. Implemented as a machine-readable knowledge graph using RDF/Turtle, the approach enables executable compliance modelling, where regulatory obligations are formalised as machine-interpretable entities that can be queried, validated, and deployment-specifically configured through semantic reasoning and SPARQL-based analysis. The methodology is validated through a detailed case study of an AI-powered espionage detection system, demonstrating how context-aware semantic reasoning and SHACL-based validation can ensure that regulatory requirements are consistently specified and mapped to concrete system components. The proposed framework advances the state of the art by providing a rigorous, extensible foundation for compliance-by-design and automated analysis, thereby reducing compliance risk and supporting responsible AI engineering in complex omni-use regulatory environments.

Simulation-based training is used to improve child interviewers’ questioning skills. However, not all trainees benefit equally. While some show clear improvement, others make little or no progress. To better understand this variation, we conducted a mega-analysis of four studies (interviews N = 4,634; participants N = 1,838). We examined whether interviewers’ task appraisals, specifically viewing the task as a challenge rather than a threat, could predict their performance in avatar-based child interview simulations. The results showed that higher challenge appraisals were associated with better performance during the immediately following interview simulation. In addition, interviewers who increasingly viewed the task as a challenge over time also demonstrated greater learning gains, such as asking more recommended questions and obtaining more accurate information. These effects were especially strong among those with less prior experience. However, interviewers with more experience did not always improve, and in some cases performed worse. These findings suggest that how interviewers evaluate the task potentially plays a key role in both immediate performance and long-term learning. Training programs should address evolving appraisals to enhance effectiveness.