Search Results (677)

This article provides an overview of the current state-of-the-art in cyber risk and cyber risk management, focusing on the mathematical models that have been created to help with risk quantification and insurance pricing. We discuss the main ways that cyber risk is measured, starting with vulnerability functions that show how systems react to threats and going all the way up to more complex stochastic and dynamic models that show how cyber attacks change over time. Next, we examine cyber insurance, including the structure and main features of the cyber insurance market, as well as the growing role of cyber reinsurance in strategies for transferring risk. Finally, we review the mathematical models that have been proposed in the literature for setting the prices of cyber insurance premiums and structuring reinsurance contracts, analysing their advantages, limitations, and potential applications for more effective risk management. The aim of this article is to provide researchers and professionals with a clear picture of the main quantitative tools available and to point out areas that need further research by summarising these contributions. Full article

The sustainable management of Municipal Solid Waste (MSW) relies heavily on community participation in separating it at the source and delivering it to collection systems. These practices are crucial for reducing pollution, protecting ecosystems, and maximizing resource recovery. However, in the Global South context, with conditions of socioeconomic vulnerability, community participation in the sustainable management of MSW remains limited, highlighting the need to generate context-specific interventions. MSW includes items such as household appliances, batteries, and electronic devices, which require specialized handling due to their size, hazardous components, or material complexity. This study implemented a Community-Based Social Marketing approach during the research and design phases of an intervention focused on promoting source separation and management of hard-to-manage MSW in five municipalities within the administrative region of Norte de Santander (Colombia), which borders Venezuela. Using a mixed-methods approach, we collected data from 1775 individuals (63.83% women; M _age = 33.48 years; SD = 17.25), employing social mapping, focus groups, semi-structured interviews, participant observation, and a survey questionnaire. The results show that the source separation and delivery of hard-to-manage MSW to collection systems are limited by a set of psychosocial, structural, and institutional barriers that interact with each other, affecting communities’ willingness and capacity for action. Furthermore, a prediction model of willingness to engage in separation and delivery behaviors showed a good fit (R2 = 0.83). The strongest predictors were awareness of the negative consequences of non-participation and perceived environmental benefits, with subjective norms contributing to a lesser extent. Based on these results, we designed a context-specific intervention focused on reducing these barriers and promoting community engagement in the sustainable management of hard-to-manage MSW. Full article

Food safety concerns related to pesticide residues in fruits and vegetables have increased globally, particularly in regions where monitoring programs are scarce or inconsistent. This study provides the first multi-year evaluation of pesticide contamination and associated dietary risks in Cape Verde, an African island nation increasingly reliant on imported produce. A total of 570 samples of fruits and vegetables—both locally produced and imported—were collected from major markets across the country between 2017 and 2020 and analyzed using validated multiresidue methods based on gas chromatography coupled to Ion Trap mass spectrometry (GC-IT-MS/MS), and both gas and liquid chromatography coupled to triple quadrupole tandem mass spectrometry (GC-QqQ-MS/MS and LC-QqQ-MS/MS). Residues were detected in 63.9% of fruits and 13.2% of vegetables, with imported fruits showing the highest contamination levels and diversity of compounds. Although only one sample exceeded the maximum residue limits (MRLs) set by the European Union, 80 different active substances were quantified—many of them not authorized under the current EU pesticide residue legislation. Dietary exposure was estimated using median residue levels and real consumption data from the national nutrition survey (ENCAVE 2019), enabling a refined risk assessment based on actual consumption patterns. The cumulative hazard index for the adult population was 0.416, below the toxicological threshold of concern. However, when adjusted for children aged 6–11 years—taking into account body weight and relative consumption—the cumulative index approached 1.0, suggesting a potential health risk for this vulnerable group. A limited number of compounds, including omethoate, oxamyl, imazalil, and dithiocarbamates, accounted for most of the risk. Many are banned or heavily restricted in the EU, highlighting regulatory asymmetries in global food trade. These findings underscore the urgent need for strengthened residue monitoring in Cape Verde, particularly for imported products, and support the adoption of risk-based food safety policies that consider population-specific vulnerabilities and mixture effects. The methodological framework used here can serve as a model for other low-resource countries seeking to integrate analytical data with dietary exposure in a One Health context. Full article

In recent studies, public health has been considered a key stakeholder in climate mitigation and adaptation in cities since they are more exposed to the impact of climate change. Nurses represent a vast majority of public health professionals, playing a key role in health promotion that allows them to influence individuals, families, and communities in adopting healthier behaviours and decarbonized lifestyles. Therefore, the purpose of this study is to map the existing evidence on nursing interventions, which are being led or implemented to reduce the health risks related to climate change in urban areas. The present review follows the JBI methodological framework, including a search on PubMed, MEDLINE complete, CINAHL Complete, Scopus, Web of Science, SciELO (Scientific Electronic Library Online), BASE (Bielefeld Academic Search Engine), and RCAAP. Hand searched references were also considered, including quantitative, qualitative, and mixed-methods studies between January 2014 and October 2024, for a more contemporary perspective. A three-step search strategy and data extraction tool were used by two independent reviewers. Twenty-seven studies in English and Portuguese were eligible for inclusion, all targeting a population of professionals with nursing-related roles: two case studies, one Delphi panel, one descriptive study, one historical research paper, two using a methodological design format, four narrative reviews, one observational study, nine review articles, three scoping reviews, and three systematic reviews. Eight categories of nursing interventions that contribute to decarbonized lifestyles, reducing health risks in relation to climate change, were acknowledged. Nurses play a key role in empowering individuals, families, and communities, promoting climate awareness and literacy, supporting health policy change, advocating for the most vulnerable and engaging in environmental activism, using evidence-based research, and taking advantage of marketing strategies and social media. Full article

West Africa faces persistent food and nutrition insecurity despite agricultural efforts, exacerbated by population growth, climate change, and socio-economic vulnerabilities. This study argues that integrating food processing principles with nutrition-sensitive agriculture (NSA) and nutrition-smart agriculture (NSmartAg) offers a transformative solution for human health. Therefore, we delineate these interconnected concepts and highlight their synergistic potential for a nutrition-focused food system. Likewise, critical analysis of key regional challenges, including infrastructural weaknesses, policy gaps, and gender inequities, was made prior to identifying significant opportunities for leveraging food processing as a strategic entry point to accelerate the implementation of NSA and NSmartAg. Based on these insights, six strategic pathways are proposed to achieve this objective: (i) integrating food processing into policies; (ii) investing in interdisciplinary R&D that puts nutrition and health benefits at the forefront of desired outcomes along with others; (iii) strengthening farmer and food processor capacities; (iv) improving agri-food infrastructure; (v) fostering multi-sectoral collaboration; and (vi) prioritizing youth engagement and market development. By adopting these integrated strategies, West African countries can build more resilient, equitable, and nutrition-centered food systems, ultimately improving public health outcomes and fostering sustainable regional development. Full article

As a high-market-value sector, the consumer electronics industry is particularly vulnerable to reputational damage from surface defects in shipped products. However, the high level of automation and the short product life cycles in this industry make defect sample collection both difficult and inefficient. This challenge has led to a severe shortage of publicly available, comprehensive datasets dedicated to surface defect detection, limiting the development of targeted methodologies in the academic community. Most existing datasets focus on general-purpose object categories, such as those in the COCO and PASCAL VOC datasets, or on industrial surfaces, such as those in the MvTec AD and ZJU-Leaper datasets. However, these datasets differ significantly in structure, defect types, and imaging conditions from those specific to consumer electronics. As a result, models trained on them often perform poorly when applied to surface defect detection tasks in this domain. To address this issue, the present study introduces a specialized optical sampling system with six distinct lighting configurations, each designed to highlight different surface defect types. These lighting conditions were calibrated by experienced optical engineers to maximize defect visibility and detectability. Using this system, 14,478 high-resolution defect images were collected from actual production environments. These images cover more than six defect types, such as scratches, plain particles, edge particles, dirt, collisions, and unknown defects. After data acquisition, senior quality control inspectors and manufacturing engineers established standardized annotation criteria based on real-world industrial acceptance standards. Annotations were then applied using bounding boxes for object detection and pixelwise masks for semantic segmentation. In addition to the dataset construction scheme, commonly used semantic segmentation methods were benchmarked using the provided mask annotations. The resulting dataset has been made publicly available to support the research community in developing, testing, and refining advanced surface defect detection algorithms under realistic conditions. To the best of our knowledge, this is the first comprehensive, multiclass, multi-defect dataset for surface defect detection in the consumer electronics domain that provides pixel-level ground-truth annotations and is explicitly designed for real-world applications. Full article

Corporate environmental claims often neglect the substantial ecological impact of land-use changes. This case study examines the spatial dimension of retail-driven land-use transformation by analyzing supermarket expansion in the Veneto region (northern Italy), with a focus on a large grocery retailer. We evaluated its corporate environmental claims by assessing land consumption patterns from 1983 to 2024 using Geographic Information Systems (GIS). The GIS-based methodology involved geocoding 113 Points of Sale (POS—individual retail outlets), performing photo-interpretation of historical aerial imagery, and classifying land-cover types prior to construction. We applied spatial metrics such as total converted surface area, land-cover class frequency across eight categories (e.g., agricultural, herbaceous, arboreal), and the average linear distance between afforestation sites and POS developed on previously rural land. Our findings reveal that 65.97% of the total land converted for Points of Sale development occurred in rural areas, primarily agricultural and herbaceous lands. These landscapes play a critical role in supporting urban biodiversity and providing essential ecosystem services, which are increasingly threatened by unchecked land conversion. While the corporate sustainability reports and marketing strategies emphasize afforestation efforts under their “We Love Nature” initiative, our spatial analysis uncovers no evidence of actual land-use conversion. Additionally, reforestation activities are located an average of 40.75 km from converted sites, undermining their role as effective compensatory measures. These findings raise concerns about selective disclosure and greenwashing, driving the need for more comprehensive and transparent corporate sustainability reporting. The study argues for stronger policy frameworks to incentivize urban regeneration over greenfield development and calls for the integration of land-use data into corporate sustainability disclosures. By combining geospatial methods with content analysis, the research offers new insights into the intersection of land use, business practices, and environmental sustainability in climate-vulnerable regions. Full article

The enforcement of the European Union Deforestation Regulation (EUDR) may reduce the supply of natural rubber to the European Union (EU), potentially leading to price increases due to the inelastic nature of rubber demand. This study assesses the potential financial implications for smallholder producers in Ghana, considering both the opportunities and risks associated with the evolving regulatory environment under EUDR and local market access conditions. A cost–benefit analysis (CBA) was conducted to evaluate the impact of different EUDR-related export decline scenarios on the net present value (NPV) of a standard 4-hectare plantation. The results suggest that even a minor 2.5% decline in global exports to the EU could increase the NPV by 17% for an independent compliant producer. However, a simulated COVID-19-like crisis in the fifth year of production leads to a 20% decline in NPV, reflecting vulnerability to external shocks. Based on these findings, the study identifies two priorities. This first is improving the coordination and harmonization of compliance efforts across the value chain to enable more producers to benefit from potential EUDR-related price increases. The recent creation of the Association of Natural Rubber Actors of Ghana (ANRAG) presents an opportunity to support such collective mechanisms. Second, minimizing losses during demand shocks requires the Tree Crops Development Authority (TCDA) to establish clear rules and transparent reporting for authorizing unprocessed rubber exports when factories reduce purchases due to low international prices—thus preserving market access for vulnerable producers. Together, these approaches would ensure that the potential benefits of the EUDR are realized inclusively, remain stable despite market downturns, and do not undermine value addition in domestic processing factories. Full article

This study explores the spatial and social implications of urban food systems in Quito, Ecuador, focusing on how food access inequalities reflect and reinforce broader urban disparities. The research addresses a critical problem in contemporary urbanization: the disconnection between food provisioning and spatial equity in rapidly growing cities. The objective is to assess and map disparities in food accessibility using a mixed-methods approach that includes field observation, participatory mapping, value chain analysis, and statistical modeling. Five traditional and emerging food markets were studied in diverse districts across the city. A synthetic accessibility function F(x) was constructed to model food access levels, integrating variables such as income, infrastructure, transport availability, and travel time. These variables were subjected to Principal Component Analysis (PCA) and hierarchical clustering to generate three typologies of territorial vulnerability. The results reveal that peripheral areas exhibit lower F(x) values and weaker integration with the formal food system, leading to higher consumer costs and limited fresh food options. In contrast, central districts benefit from multimodal infrastructure and greater diversity of supply. This study concludes that food systems should be treated as critical urban infrastructure. Integrating food equity into land use and mobility planning is essential to promote inclusive, sustainable, and resilient urban development. Full article

This study employs a dynamic stochastic general equilibrium model with Bayesian estimation to rigorously evaluate China’s macroeconomic responses to cost-push, monetary policy, and foreign income shocks. This analysis leverages quarterly data from 2000 to 2024, focusing on critical variables such as the output gap, inflation, interest rates, exchange rates, consumption, investment, and employment. The results demonstrate significant social welfare losses primarily arising from persistent inflation and output volatility due to domestic structural rigidities and global market dependencies. Monetary policy interventions effectively moderate short-term volatility but induce welfare costs if overly restrictive. The findings underscore the necessity of targeted structural reforms to enhance economic flexibility, balanced monetary policy to mitigate aggressive interventions, and diversified economic strategies to reduce external vulnerability. These insights contribute novel policy perspectives for enhancing China’s macroeconomic stability and resilience. Full article

The increasing scale of honey adulteration poses a significant challenge for modern food quality and safety management systems. Honey authenticity, defined as the conformity of products with their declared botanical and geographical origin, is challenging to verify solely through documentation and conventional physicochemical analyses. This study presents an integrated, process-oriented approach for digital honey authentication, building on initial findings from an interdisciplinary research and development project. The approach includes the creation of a comprehensive digital pollen database and the application of AI-driven image segmentation and classification methods. The developed system is designed to support decision-making processes in quality assessment and VACCP (Vulnerability Assessment and Critical Control Points) risk evaluation, enhancing the operational resilience of honey supply chains against fraudulent practices. This study aligns with current trends in the digitization of food quality management and the use of Industry 4.0 technologies in the agri-food sector, demonstrating the practical feasibility of integrating AI-supported palynological analysis into industrial workflows. The results indicate that the proposed approach can significantly improve the accuracy and efficiency of honey authenticity assessments, supporting the integrity and transparency of global honey markets. Full article

The scientific measurement of corporate resilience is a prerequisite for identifying risk vulnerabilities, formulating targeted support policies, and enhancing the stability of the economic system. This paper utilizes data from 2054 listed companies on China’s A-share market from 2007 to 2023 to construct a corporate resilience evaluation system integrating three dimensions: risk resistance, adaptive adjustment, and recovery growth. Using a multi-level dynamic factor analysis, it depicts the multi-dimensional structure of resilience while introducing time series dynamic changes. This study found that corporate resilience has shown a steady upward trend overall, with phased fluctuations before and after major crisis events, which is highly consistent with macro- and microeconomic indicators. And fluctuations are primarily concentrated among low-resilience enterprises. The further analysis of low-resilience enterprises revealed the following: At the industrial level, compared with the primary industry, the secondary and tertiary industries have a higher proportion of low-resilience enterprises. At the regional level, the proportion of low-resilience enterprises in eastern and central regions decreased during shocks, while western regions showed a significant divergence, and northeastern regions consistently underperformed. This study offers empirical evidence and management insights for strengthening corporate resilience and enhancing the resilience of China’s economy. It also offers valuable insights for other countries in addressing external uncertainties and building economic resilience. Full article

Tourism development in coastal zones is often guided by marketing strategies focused on promotion, without real integration with the ecological, identity, and planning challenges facing these territories. This disconnection compromises environmental resilience, dilutes local cultural identity, and hinders adaptive governance in contexts of increasing tourism pressure and climate change. In response to this problem, the article presents the concept of Blue Marketing, a place-based, sustainability-oriented approach designed to guide communication, product development, and governance in marine and coastal destinations. Drawing on socio-environmental marketing and inspired by Integrated Coastal Zone Management (ICZM), the study proposes a Blue Marketing Decalogue (BMD), structured into three thematic blocks: (1) Ecosystem-focused sustainability, (2) cultural identity and territorial uniqueness, and (3) strategic planning and adaptive governance. Methodologically, the decalogue is empirically grounded in a territorial diagnosis of the Barbate–Vejer coastal corridor (Cádiz, Spain), developed through Geographic Information Systems (GIS), local planning documents, and field observations. This case study provides a detailed analysis of ecological vulnerabilities, cultural resources, and tourism dynamics, offering strategic insights transferable to other coastal contexts. The BMD incorporates both strategic and normative instruments that support the design of responsible tourism communication strategies, aligned with environmental preservation, community identity, and long-term planning. This contribution enriches current debates on sustainable tourism governance and provides practical tools for coastal destinations aiming to balance competitiveness with ecological responsibility. Ultimately, Blue Marketing is proposed as a vector for transformation, capable of reconnecting tourism promotion with the sustainability challenges and opportunities of coastal regions. Full article

Driven by the urgent need to mitigate climate change and achieve net-zero emissions, carbon pricing has emerged as a critical policy tool in major economies worldwide. This study compares carbon pricing in the EU, China, Canada, and Singapore, evaluating effectiveness in emission reductions, with the EU ranking first with high carbon prices, road market coverage, and strict penalties, based on carbon price per capita. Conversely, Singapore’s position as fourth in carbon price per capita among these four most mature carbon markets, Singapore has a high GDP per capita and lower carbon prices. Canada’s fragmented provincial policies and China’s limited market coverage, despite being the top global emitter. Our analysis reveals three critical success factors: (1) higher carbon prices per capita are essential for carbon reduction, (2) the necessity of penalties on carbon price per capita from EUR 20–EUR 100, and (3) expanded market coverage maximizes impact. To address global disparities, we propose a Uniform Carbon Pricing Mechanism under the Global Carbon Resilience Framework (GCRF), based on carbon price per capita tiered pricing: EUR 100/t (developed), EUR 30–50 (developing), and EUR 5–15 (least-developed countries). This balanced system supports vulnerable regions while cutting emissions, proving that fair carbon pricing is crucial for climate goals and economic stability. Full article

The study examines changes in household food security and identifies their key determinants in Zambia by comparing the pre-pandemic period to the COVID-19 pandemic period. Using nationally representative surveys from 2015 and 2021 and the coarsened exact matching (CEM) approach, 8650 households were matched for comparison. Two complementary food security measures are analysed using multinomial logit regression models: household expenditure share, representing economic vulnerability, and household dietary diversity score (HDDS), representing diet quality. The results show that household food expenditure share significantly increased from 53.8% to 61.4%, indicating increased economic vulnerability. Notably, household dietary diversity improved from 7.1 to 8.2 out of 12, indicating better dietary quality. Consistent determinants of food security—such as household size, education level, marital status, region, and employment—remained significant, but their protective effects weakened during the pandemic. Specifically, the protective effect of education declined, urban households became relatively more vulnerable, and wealthier households experienced minimal changes. The study recommends targeted interventions, including expanding social protection programmes for economically vulnerable households, supporting informal food markets, enhancing rural–urban food supply linkages, and promoting nutrition education to ensure diverse, affordable food access during crises. Full article