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Green innovation optimization for climate change ESG business readiness: role of generative AI in BRICS countries
No full textClimate change introduces new challenges for businesses which require them to find ways to be resilient. Green innovations contribute to boost Environmental, Social, and Governance (ESG)-readiness leading to just transition without optimization. This study estimates the nonlinear effect of environmental innovation in ESG-readiness against climate change while allowing for the moderating role of citations from regenerative AI-research. We use BRICS countries to conduct the analyses with a machine learning based Panel-QARDL. We find that green innovations trace an inverted U-shaped effect and generative AI shifts this relationship upwards. Findings highlight the role of regenerative AI in boosting green innovation performance.<br/
Internationally validated open access indicators of large public urban green space for healthy and sustainable cities
No full textLarge public urban green spaces (LPUGS) provide multiple health and environmental co-benefits by mitigating urban heat, improving air quality and biodiversity, and promoting physical activity, social interactions, and mental wellbeing. There is a lack of accessible, evidence-informed, and internationally validated LPUGS indicators to assist with benchmarking and monitoring progress toward healthy and sustainable cities globally. This study developed and validated internationally applicable spatial indicators of LPUGS availability and accessibility that are directly relevant to health and sustainability outcomes. For 13 cities across 10 middle- to high-income countries, we identified LPUGS ≥ 1 ha by fusing OpenStreetMap and satellite-derived Normalized Difference Vegetation Index data, and estimated residents' access within 500 m pedestrian network distance. We conducted a two-step validation process with local collaborators in each city. Our indicator methods identified LPUGS with greater than 80% accuracy for 12 of the 13 cities, and comparisons against official local reference data for four cities further demonstrated validity. While some open data limitations were identified, the indicators address critical gaps in existing methods by enabling standardized and comparable measurement of LPUGS in diverse cities internationally. Our customizable open-source global indicator tools can inform evidence-based green space planning for urban health and sustainability.</p
Meeting abstract: P-0253. A qualitative interview study to explore the need for a prescribing tool specific to people living with dementia
No full textThe role of pre-existing assumptions and cognitive flexibility in the development of post-trauma cognitive processes – an analogue study
No full textObjective:This experimental study investigated whether the trait factors of world assumptions and cognitive flexibility were predictive of levels of attentional bias to threat stimuli, memory integration, and data-driven processing.Methods:An opportunity sample of 74 participants took part in the investigation. Participants viewed a virtual reality film to induce mild distress to mimic processes that can occur in individuals when experiencing a traumatic event. A prospective experimental design was conducted involving measurements at pre-trauma exposure (Time 1), post-exposure (Time 2) and one-week follow-up (Time 3). Self-report measures of world assumptions, cognitive flexibility, and cognitive processing were administered. Eye-tracking equipment was used to assess attentional bias towards threat images, and a free recall task to assess memory integration.Results:A mixed effects linear model found increased cognitive bias towards trauma-related threat images pre/post-exposure, specifically for a maintenance attentional bias. Significantly greater data-driven processing was observed post-exposure, with greater conceptually driven processing observed at one-week follow-up. No significant findings were observed for memory integration. World assumptions were predictive of increased data-driven processing; the relative use of data-driven to conceptually driven processing; and trait anxiety. Cognitive flexibility was predictive of state anxiety.Conclusion:These results provide additional support for the role of maintained attention, data-driven processing, and conceptually driven processing in post-trauma reactions as per established cognitive theories of post-traumatic stress disorder. More research is required to fully explore the roles of core beliefs, assumptions and cognitive flexibility in this area.<br/
Understanding women's experiences of respectful maternity care during antenatal and postnatal care in Lomé Togo. A cross sectional descriptive study.
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Centering coastal communities’ diverse economic practices in the blue economy
No full textDespite their stated commitment to sustainable economic development, blue economy and blue growth agendas have been criticized for replicating the same unlimited growth paradigm they purport to replace, disempowering local communities. By contrast, diverse economies literature advocates looking to communities’ practices to identify alternative, socially and environmentally grounded, economic possibilities. In line with that scholarship, this article calls for a re-envisioning of the blue economy through the eyes of coastal communities and their socio-ecological relations. We draw on local knowledge acquired from research we have conducted in six coastal communities across Europe – Burgas (Bulgaria); Connemara (Ireland); Træna (Norway); Åland (Finland); Cap de Creus (Spain); and Eastern Limassol (Cyprus). From mobilizing social enterprises and commoning practices to widening the blue economy’s goals to comprise environmental care and collective wellbeing, these communities’ economic practices focus not only on retaining value at the local level, but also on advancing societal and environmental goals. The article investigates the possibilities and challenges that these experiences suggest for the blue economy, raising questions about the potential of diverse blue economies
A serum-stable antimicrobial peptide-based delivery platform for selective treatment of nontargetable and chemoresistant tumors
No full textAntibody–drug conjugates (ADCs) have transformed cancer therapy but remain limited by their dependence on internalizing antigens, poor applicability to untargetable tumors, and susceptibility to drug resistance. Therefore, a modular antimicrobial-peptide (AMP)-based therapeutic system centered on a rationally designed conjugate, 270, is presented, which integrates three optimized components: a selectivity-enhanced AMP core via a membrane affinity reconstruction strategy, a conformation-driven polyethylene glycolylated blocker to minimize off-target effects, and an N-terminal cap to improve stability in human serum. By targeting nonendocytic membrane surface receptors via small-molecule ligands, conjugate 270 exhibits potent and selective cytotoxicity against target tumor cells, effectively eliminating the majority of tumor cells within a few hours. Meanwhile, it exhibits high serum stability, minimal hemolysis, and negligible cytotoxicity toward normal cells at therapeutic concentrations. Mechanistic studies confirm ligand-dependent membrane localization, rapid depolarization, and disruption, along with mitochondrial dysfunction. Moreover, it demonstrates significant therapeutic efficacy against four cell lines resistant to conventional chemotherapeutic agents. While additional in vivo validation is warranted, this work lays the foundation for a flexible AMP-based approach to address untargetable and drug-resistant cancers.<br/
Predictive digital monitoring of construction resources: an integrated digital twin solution
No full textPurpose Optimising resource utilisation on construction sites is essential for achieving key performance indicators related to cost, time and sustainability. While recent advances have explored the integration of 4D building information modelling (BIM) with technologies such as the Internet of things (IoT) and immersive tools, widespread adoption remains limited due to system complexity, scalability and integration challenges. This paper introduces the digital twins–based site resource monitoring (DTSRM) system as an integrated solution to support efficient and sustainable construction resource management.Design/methodology/approach A research gap was identified through a critical literature review. A predictive DTSRM system was then developed in multiple phases, including the creation of digital twin (DT) models and components such as ontology, IoT networks and machine learning (ML) algorithms. The system was tested using IoT simulators and C# scripts to ensure sensor data integration and functional validity. Synthetic datasets, designed to realistically simulate construction site conditions, were generated using Python to evaluate the system’s performance. Findings DTSRM offers a real-time, integrated approach by collecting data from construction equipment and material storage through IoT sensors visualised within the BIM model. ML techniques enable the prediction of equipment productivity and the tracking of material consumption and inventory levels. This allows for timely, data-driven decisions that minimise delays and excess inventory costs. Practical implications DTSRM enables project stakeholders to prioritise resource allocation across multiple sites based on live productivity and inventory data. By reducing waste and improving efficiency, it directly supports circular economy principles in construction. The DTSRM ontology, though currently focused on equipment and materials, can be extended to include human resources for productivity and health and safety monitoring.Originality/value This research offers a practical, scalable solution that integrates DT, BIM, IoT and AI technologies to monitor construction resources in real time. Unlike many existing frameworks, DTSRM explicitly contributes to the circular economy by promoting resource efficiency, minimising waste and supporting informed decision-making across the construction lifecycle.</p
