Search Results (16)

The rapid adoption of smart technologies is increasingly evident in both personal and business contexts. The ‘post-pandemic’ economic recovery of 2022 and 2023 coincided with a global energy supply shortage driven by heightened energy demand and supply chain disruptions stemming from the ongoing Russian-Ukrainian conflict. The implementation of smart metering systems is a central component of European policies aimed at enhancing the competitiveness and environmental sustainability of energy markets. However, limited research exists on the acceptance of Smart Meter Technology (SMT) in general, specifically in Norway, as compared to other nations. SMT devices offer the potential for real-time energy consumption monitoring, enabling users to track and modify their usage patterns for optimized consumption. This study employs a mixed-methods research design to gather insights from both SMT consumers and vendors. Findings underscore the pivotal roles of familiarity, cost, social influence, and perceived usefulness in shaping consumer adoption of SMT. This article provides critical insights and implications for researchers, network operators, electricity companies, and government agencies. Full article

This paper presents a pilot project conducted by ISPRA and ARPA Campania to develop a monitoring protocol to detect the presence of genetically modified (GM) oilseed rape (Brassica napus) plants resulting from accidental seed dispersal during transportation from entry points to storage and processing facilities; the project has been implemented in Italy’s Campania region. The unintentional dispersal of GM oilseed rape seeds and the potential establishment of feral populations have been identified as environmental concerns in various countries, even when GM oilseed rape is imported solely for processing and not for cultivation. The project activities were designed, taking into account the characteristics of the Italian environment and infrastructures. Multiple sampling campaigns were conducted in autumn 2018, spring 2019, and autumn 2019 to validate the selected transects and assess the presence of Brassicaceae species, with a particular focus on oilseed rape. These efforts involved direct monitoring and sample collection along transport routes from the port of Salerno to seed companies in the provinces of Benevento and Caserta. Field observations and import data revealed a decrease in oilseed rape movement at the port of Salerno in the years preceding the survey, while seed companies near Benevento remained active sites for white mustard (Sinapis alba). The presence of S. alba and the simultaneous occurrence of oilseed rape and Raphanus raphanistrum—a species with high hybridization potential—support the hypothesis that seed companies may act as hotspots for accidental seed dispersal and that potential interspecific gene flow can occur. The study also validated the adopted sampling and molecular analysis methods, including DNA extraction and PCR, for the detection of the Cruciferin A (CruA) gene in all Brassica species collected. These findings highlight the need to strengthen post-marketing monitoring plans, even when GM rapeseed is imported solely for processing, to mitigate the potential risks associated with unintended gene flow. Full article

This paper discusses the responsible use of artificial intelligence (AI) in public health and in medicine, and questions the development of AI ethics in international guidelines from a public health perspective. How can a global ethics approach help conceive responsible AI development and use for improving public health? By analysing key international guidelines in AI ethics (UNESCO, WHO, European High-Level Expert Group on AI) and the available literature, this paper advocates conceiving proper ethical and legal frameworks and implementation tools for AI in public health, based on a pragmatic risk-based approach. It highlights how ethical AI principles meet public health objectives and focuses on their value by addressing the meaning of human-centred innovations, transparency, accountability, diversity, equity, privacy protection, technical robustness, environmental protection, and post-marketing surveillance. It concludes that AI technology can reconcile individual and collective ethical approaches to public health, but requires specific legal frameworks and interdisciplinary efforts. Prospects include the development of supporting data infrastructures, of stakeholders’ involvement to ensure long-term commitment and trust, of the public’s and users’ education, and of international organisations’ capacity to coordinate and monitor AI developments. It formulates a proposal to reflect on an integrated transparent public health functionality in digital applications processing data. Full article

This research investigates the illegal Vegetation Suppression Authorization (VSA) for Legal Reserve Compensation (LRC) in Tocantins, Brazil, between 2012 and 2014. The VSA is a license issued by state environmental agencies that authorizes the removal or clearing of native vegetation. This infraction resulted from the state environmental agency’s mistaken interpretation of Resolution 07/2005 of the State Environmental Council and the Native Vegetation Protection Law, which operates nationally and takes precedence over state resolutions and laws. The study area focuses on eight municipalities contained in the Formoso, Pium, and Javaés river basins. The methodology examines irregular VSA-LRC cases through geospatial data analysis, multitemporal analysis using remote sensing data, and economic assessments in both the origin and destination areas of the compensatory reserve. The results showed that among the 217 VSA-LRC applications during the period, 93 had corresponding geospatial data, indicating that 57.1% of the geospatial data were missing. This discrepancy between the authorized area and the available geospatial information restricts the oversight capability of the regulatory agency. A decade-long deforestation analysis of VSA-LRCs using remote sensing data considered three phases: 2012–2014 (application and issuance of VSA-LRCs), 2015–2018 (operational issuance), and 2019–2022 (post-expiration of VSA-LRCs). The results revealed a total VSA-LRC area of 343.291 km² (34,329.10 ha), with 229.1169 km² (22,911.69 ha) of deforestation. Notably, 54.877 km² (5487.70 ha) of this deforestation occurred in 2019–2022, after the VSA-LRC had expired. The analysis of the LRC origin and destination areas demonstrates a unidirectional strategy, from economically more valuable areas to less valuable ones, according to land market dynamics. Therefore, this investigation concludes the need for greater administrative transparency, the development of a reliable geospatial data system for monitoring, and policy changes and actions to enhance environmental protection. Full article

Mango (Mangifera indica L.) is a popular fruit grown in tropical and subtropical regions. Mango has a distinctive aroma, flavour, and nutritional properties. Annual global mango production is >50 million tonnes. Major producers of mango include India, Bangladesh, China, Mexico, Pakistan, Indonesia, Brazil, Thailand, and the Philippines, and it is shipped worldwide. Harvested mango fruit are highly perishable, with a short shelf life. Physiological disorders are among the major factors limiting their postharvest quality and shelf life, including when fruit need phytosanitary treatments, such as hot water treatment, vapour heat treatment, and irradiation. This review focuses on problematic physiological disorders of mango flesh, including physiology and biochemistry. It considers factors contributing to the development and/or exacerbation of internal disorders. Improved production practices, including pruning, nutrient application, and irrigation, along with monitoring and managing environmental conditions (viz., temperature, humidity, and vapour pressure deficit), can potentially maintain fruit robustness to better tolerate otherwise stressful postharvest operations. As demand for mangoes on international markets is compromised by internal quality, robust fruit is crucial to maintaining existing and gaining new domestic and export consumer markets. Considering mango quality, a dynamic system, a more holistic approach encompassing pre-, at-, and post-harvest conditions as a continuum is needed to determine fruit predisposition and subsequent management of internal disorders. Full article

In the last few decades, the cuttlefish market has grown to approximately 14% of the world’s fisheries, and operators have begun to express concerns about the decline of this resource. In this context, the production of cuttlefish through aquaculture could offer a diversifying and valuable response to the increasing market demand and help alleviate the environmental pressure on this species. Therefore, the aim of this study is to identify a dry, cost-effective, and easy-to-administer diet that can successfully support the initial phases of cuttlefish growth and provide a similar performance to a krill-based diet, which closely mimics their natural diet. To achieve this objective, cuttlefish hatchlings were distributed among different experimental tanks, each receiving one of the five different diets (namely Diets A to E). Mortality and morphological parameters were monitored until day 10 post hatching, and the two most effective diets (Diets A and B) were chosen for further trials. The results indicated that Diet B had similar survival and growth rates to Diet A, which was based on frozen krill. Histological analysis revealed a comparable degree of gut maturity between the organisms fed the two diets. Likewise, levels of amylase and trypsin enzymes and hsp70, cat, and sod mRNA did not exhibit significant differences between the two groups. In conclusion, our findings provide preliminary evidence supporting the possibility of cultivating cuttlefish in captivity using a pelleted diet, representing a promising starting point for larger-scale breeding efforts. Full article

Information on the state of the environment is important to achieve the objectives of the European Green Deal, including the EU’s Biodiversity Strategy for 2030. The existing regulatory provisions for genetically modified organisms (GMOs) foresee an obligatory post-market environmental monitoring (PMEM) of potential adverse effects upon release into the environment. So far, GMO monitoring activities have focused on genetically modified crops. With the advent of new genomic techniques (NGT), novel GMO applications are being developed and may be released into a range of different, non-agricultural environments with potential implications for ecosystems and biodiversity. This challenges the current monitoring concepts and requires adaptation of existing monitoring programs to meet monitoring requirements. While the incorporation of existing biodiversity monitoring programs into GMO monitoring at the national level is important, additional monitoring activities will also be required. Using case examples, we highlight that monitoring requirements for novel GMO applications differ from those of GM crop plants previously authorized for commercial use in the European Union. Full article

The Glasgow Declaration called for scientifically based measurements of CO₂ emissions in the tourism industry to monitor progress toward the achievement of the goals of the Paris Agreement. Despite the economic and employment downturn caused by COVID-19, there are limited cases of environmental assessments related to tourism. In this study, we estimated the CFP of the tourism industry in the G20 countries before and after COVID-19. By combining the MRIO and Tourism Satellite Accounts, we clarified the different impacts on the markets for domestic tourism and inbound tourism, aiming to provide a quantitative basis for setting scientifically grounded goals towards the transition to sustainable tourism. The GHG emissions from tourism mainly stem from transportation, but souvenirs, accommodations, and food and beverages also result in significant differences among countries. The pandemic has greatly impacted the tourism industry. In 2020, the GHG emissions from both domestic and inbound tourism significantly decreased due to the decrease in the number of tourists. In some countries, measures against COVID-19 influenced these figures, and although signs of recovery were observed in 2021, the degree of reduction varied by country. These emission reductions should be the goals pursued by the tourism industry in the post-COVID-19 era, and efforts should be made to achieve sustainable tourism. Full article

The agricultural supply chain (ASC) in the hinterland refers to the entire post-harvest process of processing and distributing agricultural products in rural or secluded areas to be brought to big city markets. This scheme involves various stakeholders (farmers, trading centers, consumers), processes (logistics, storage, monitoring), and infrastructure (traffic and road systems, negative environmental emissions) to ensure the efficient flow of agricultural products from farms to consumers. The quality of life (QoL) in the hinterland can improve with the introduction of disruptive technologies, but no comprehensive studies have explored the QoL of individuals involved in the ASC–socioeconomic system of hinterland communities. This study elucidated and compared the diversified impacts of disruptive technologies brought by the Industrial Revolution 4.0 to the agricultural supply chain and their impacts on food security, sustainability, and climate change mitigation through the analysis of the related literature. This study also mapped out the role of disruptive technologies in the QoL of hinterland communities, particularly with respect to the farmers, trading center workers, and consumers. Points of discussion emerged with respect to precision agriculture, the Artificially Intelligent Internet of Things, big data analytics, blockchain, artificial intelligence, cyber-physical systems, robotics, automation, and e-commerce, and how these enabling technologies enhance fresh food supply and distribution and deliberately affect stakeholders’ life quality indexes through the analysis of situational case studies in India, South America, Malaysia, China, and Europe. The identification of these points of discussion was also achieved purely based on research performed on the related literature. The positive impacts of these technologies, such as the boosting of efficiency and the ensuring of a steady supply of fresh produce, ultimately improve the overall QoL. The technical insights from the studies were synthesized to develop new frameworks for QoL anchored in the agricultural supply chain (AgQoL) in the hinterland, and a six-dimensional network emphasizing the two trifectas of techno-socioenvironmental needs was established. Food-producing communities with a relatively high AgQoL should support food security in the region. Full article

Green consumption behavior is the embodiment of pro-environmental behavior, which is of great value to curb carbon emissions. However, the existing research on the model construction and quantitative analysis of the psychological process of green consumption behavior needs to be further explored. Therefore, on the basis of green consumption behavior and metacognitive theory, this study constructs a conceptual model of a psychological process with a psychological control source, green consumption attitude, three aspects of metacognition, and green consumption behavior and puts forward the hypothesis of an action mechanism. This study combines text mining technology and expert knowledge to establish a user review mining dictionary and mines the variables in the quantitative conceptual model through word embedding to test empirically the mechanism hypothesis. The results show that psychological control source has a significant impact on green consumption behavior, and green consumption attitude plays a partial mediating role between them. Metacognitive knowledge plays a moderating role between the psychological control source and green consumption behavior; metacognitive experience plays a moderating role between the psychological control source and green consumption attitude. Metacognitive monitoring plays a moderating role between green consumption attitude and green consumption behavior. In view of the above research results, we put forward the following countermeasures and suggestions: For organizations, it is necessary to identify green consumption groups, attach importance to green consumption experience, perform well in green marketing, and improve the competitiveness of green products; for decision makers, it is necessary to control strictly the industry standards of the green product market and perform well not only in the quality supervision of green products but also in the post-market construction of green products. Full article

The rapid development of technologies for cultured meat production has led to new challenges for producers regarding appropriate communication with future customers in order to deliver products to a viable market. Communication analysis of social media enables the identification of the key characteristics of the monitored topic, as well as the main areas of communication by individual users based on active digital footprints. This study aimed to identify the key characteristics of cultured meat based on communication analysis of the social network Twitter. Communication analysis was performed based on 36,356 Tweets posted by 4128 individual users. This analysis identified the following main communicated characteristics: clean meat, future meat, and sustainable meat. Latent Dittrich allocation identified five communication topics: (1) clean and sustainable products, (2) comparisons with plant-based protein and the impact on agribusiness, (3) positive environmental aspects, (4) cultured meat as an alternative protein, and (5) the regulation of cultured meat. Full article

The quality of Tibetan matsutake drops during cold chain transportation. To extend the shelf life and improve the market value, this study analyzed the matsutake logistics process, and optimized the dynamic monitoring and quality management systems for post-harvest matsutake with different preservation packaging in the cold chain. This system monitored the micro-environmental parameters of the cold chain in real time, and it identified the best preservation method by analyzing the quality change characteristics of the matsutake with different preservation packaging. It was concluded that the matsutake were best preserved under the conditions of modified atmosphere packaging. The data analysis on the collected data verified the performance of the system. Relevant personnel were invited to participate in the system performance analysis and offer optimization suggestions to improve the applicability of the established monitoring system. The optimized model could provide a more effective theoretical reference for the dynamic monitoring and quality management of the system. Full article

Wildfire is known to create the pre-conditions leading to accelerated soil erosion. Unfortunately, its occurrence is expected to increase with climate change. The objective of this study was to assess the impacts of fire on runoff and soil erosion in a context of global change, and to evaluate the effectiveness of mulching as a post-fire erosion mitigation measure. For this, the long-term soil erosion model LandSoil was calibrated for a Mediterranean catchment in north-central Portugal that burnt in 2011. LandSoil was then applied for a 20-year period to quantify the separate and combined hydrological and erosion impacts of fire frequency and of post-fire mulching using four plausible site-specific land use and management scenarios (S1. business-as-usual, S2. market-oriented, S3. environmental protection and S4. sustainable trade-off) and an intermediate climate change scenario Representative Concentration Pathway (RCP) 4.5 by 2050. The obtained results showed that: (i) fire had a reduced impact on runoff generation in the studied catchment (<5%) but a marked impact on sediment yield (SY) by about 30%; (ii) eucalypt intensification combined with climate change and fires can increase SY by threefold and (iii) post-fire mulching, combined with riparian vegetation maintenance/restoration and reduced tillage at the landscape level, was highly effective to mitigate soil erosion under global change and associated, increased fire frequency (up to 50% reduction). This study shows how field monitoring data can be combined with numerical erosion modeling to segregate the prominent processes occurring in post forest fire conditions and find the best management pathways to meet international goals on achieving land degradation neutrality (LDN). Full article

The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost any conceivable problem, but the greatest impact will likely be in applications that exploit the unique advantages of the technology: work in dangerous or difficult-to-access areas, high spatial resolution and/or frequent measurements of environmental phenomena, and deployment of novel sensing technology over small to moderate spatial scales. Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling. However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with UAS, it has been difficult to confidently devise or recommend UAS-based monitoring strategies for these applications. This paper provides a comprehensive review of UAS hardware, software, regulations, scientific applications, and data collection/post-processing procedures that are relevant for wetland monitoring and hydrological modeling. Full article

Post-market environmental monitoring (PMEM) of genetically modified (GM) crops is required by EU legislation and has been a subject of debate for many years; however, no consensus on the methodology to be used has been reached. We explored the suitability of carabid beetles as surrogates for the detection of unintended effects of GM crops in general PMEM surveillance. Our study combines data on carabid communities from five maize field trials in Central Europe. Altogether, 86 species and 58,304 individuals were collected. Modeling based on the gradual elimination of the least abundant species, or of the fewest categories of functional traits, showed that a trait-based analysis of the most common species may be suitable for PMEM. Species represented by fewer than 230 individuals (all localities combined) should be excluded and species with an abundance higher than 600 should be preserved for statistical analyses. Sixteen species, representing 15 categories of functional traits fulfill these criteria, are typical dominant inhabitants of agroecocoenoses in Central Europe, are easy to determine, and their functional classification is well known. The effect of sampling year is negligible when at least four samples are collected during maize development beginning from 1 April. The recommended methodology fulfills PMEM requirements, including applicability to large-scale use. However, suggested thresholds of carabid comparability should be verified before definitive conclusions are drawn. Full article