Currently, access to electricity in the cities of the Global South is so limited that electrification remains low in rural areas. Unless properly tackled, one-third of the world’s cities will suffer from energy scarcity. The emergence of microbial fuel cell (MFC) technology accelerates the deployment of decentralized and sustainable energy solutions that can address the looming energy shortage. This review consolidates scattered knowledge into one article about the performance of MFC in optimizing electricity generation from phosphorus (P)-laden wastewater, while removing the target nutrient from wastewater simultaneously. It is obvious from a literature survey of 108 published articles (1999–2022) that the applications of MFC for building a self-powered municipal water treatment system represents an important breakthrough, as this enables water treatment operators to generate electricity without affecting the atmospheric balance of CO₂. Using a pyrite-based wetland MFC, about 91% of P was removed after operating 180 days, while generating power output of 48 A/m². Unlike other techniques, MFCs utilize bacteria that act as micro-reactors and allow substrates to be oxidized completely. The Earth’s tiniest inhabitants can efficiently transform the chemical energy of organic matter in unused wastewater either into hydrogen gas or electricity. This facilitates wastewater treatment plants powering themselves in daily operation or selling electricity on the market. This MFC technology radically changes how to treat wastewater universally. By exploring this direction along the water–energy–food nexus, MFC technology could transform wastewater treatment plants into a key sustainability tool in the energy sector. This suggests that MFCs provide a practical solution that addresses the need of global society for clean water and electricity simultaneously. Full article

With the advent of the Industry 4.0 era, information technology has been widely developed and applied in the construction engineering field. Text mining techniques can extract interesting and important data hidden in plain text, potentially allowing problems in the construction field to be addressed. Although text mining techniques have been used in the construction field for many years, there is a lack of recent reviews focused on their development and application from a literature analysis perspective; therefore, we conducted a review with the aim of filling this gap. We use a combination of bibliometric and manual literature analyses to systematically review the text mining-based literature related to the construction field from 1997 to 2022. Specifically, publication analysis, collaboration analysis, co-citation analysis, and keyword analysis were conducted on 185 articles collected from the SCOPUS database. Based on a read-through of the 185 papers, the current research topics in text mining were manually determined and sorted, including tasks and methods, application areas, and core methods and algorithms. The presented results provide a comprehensive understanding of the current state of TM techniques, thereby contributing to the further development of TM techniques in the construction industry. Full article

Rice ranks second among cereals in dietary uses around the world. Rice is deficient in iron (Fe), and these are important micronutrients for infants, men, and women. Fortification of rice with iron would help to minimize nutrient deficiency disorders among humans. The current study aims to introduce nutrient-rich rice. The effects of iron on germination, growth, photosynthetic pigment, antioxidant activity, and reduction of oxidative stress were investigated in four Oryza sativa L. cultivars. O. sativa of four different cultivars (Basmati-515, PK-386, KSK-133, and Basmati-198) were grown under five treatments (100, 200, 300, 400, and 500 mM) of iron sulphate (FeSO₄) in soil of pH 7.5, along with control, by using six replicates. The result revealed that Fe treatment significantly affected seed germination percentage, plant growth parameters, biomass, photosynthetic pigments (chl a, chl b, total chlorophyll, and carotenoids), antioxidant enzymatic and non-enzymatic activity, and reduced oxidative stress. The findings also showed that Fe application reduced the oxidative stress including malondialdehyde content and hydrogen peroxide, by increasing the antioxidant enzymatic activity, i.e., catalase, ascorbate peroxidase, superoxide dismutase, peroxidase, glutathione peroxidase, 2,2-diphenyl-1-picryl-hydrazyl-hydrate (DPPH), and non-enzymatic antioxidant compounds (proline, amino acid, total soluble protein, phenolics, flavonoids, reducing-non-reducing sugar, and carbohydrates) in all cultivars of O. sativa. Furthermore, FeSO₄ induced a significant increase in proline, free amino acid, and total carbohydrates in the leaves of all O. sativa cultivars, but Basmati-198 showed the significantly highest content by 169, 88, and 110%, respectively, at concentration of 500 mM. The present research work showed that soil application of FeSO₄ improved the seed germination, plant growth, and antioxidants enzymatic and non-enzymatic activity, denatured the ROS (reactive oxygen species) in alkaline soil. In order to understand the underlying mechanisms, long-term field investigations should be carried out at the molecular level to examine patterns of iron uptake and plant growth. Full article

The recent COVID-19 pandemic has underlined the significance of digital health record management systems for pandemic mitigation. Existing smart healthcare systems (SHSs) fail to preserve system-level medical record openness and privacy while including mitigating measures such as testing, tracking, and treating (3T). In addition, current centralised compute architectures are susceptible to denial of service assaults because of DDoS or bottleneck difficulties. In addition, these current SHSs are susceptible to leakage of sensitive data, unauthorised data modification, and non-repudiation. In centralised models of the current system, a third party controls the data, and data owners may not have total control over their data. The Coviblock, a novel, decentralised, blockchain-based smart healthcare assistance system, is proposed in this study to support medical record privacy and security in the pandemic mitigation process without sacrificing system usability. The Coviblock ensures system-level openness and trustworthiness in the administration and use of medical records. Edge computing and the InterPlanetary File System (IPFS) are recommended as part of a decentralised distributed storage system (DDSS) to reduce the latency and the cost of data operations on the blockchain (IPFS). Using blockchain ledgers, the DDSS ensures system-level transparency and event traceability in the administration of medical records. A distributed, decentralised resource access control mechanism (DDRAC) is also proposed to guarantee the secrecy and privacy of DDSS data. To confirm the Coviblock’s real-time behaviour on an Ethereum test network, a prototype of the technology is constructed and examined. To demonstrate the benefits of the proposed system, we compare it to current cloud-based health cyber–physical systems (H-CPSs) with blockchain. According to the experimental research, the Coviblock maintains the same level of security and privacy as existing H-CPSs while performing considerably better. Lastly, the suggested system greatly reduces latency in operations, such as 32 milliseconds (ms) to produce a new record, 29 ms to update vaccination data, and 27 ms to validate a given certificate through the DDSS. Full article

Screen culture and conglomerates are starting to echo the green shooting phenomena; roles such as sustainability director, eco-manager, eco-consultant, and eco-assistant are taking a more prominent space in the entertainment and cultural industry to achieve the goal of creating sustainable productions. In this current context, there seems to be a need for an agent to catch the attention of the audience to make a claim about green policies and contribute to a green literacy fabric. This opinion article recognizes that there are two types of voices, internal (scholars and practitioners) and external (celebrities and audiences), that have arisen in the audiovisual industry from different perspectives. Hence, through a theoretical approach, it tackles the particularities, typologies, and the role celebrities play as hot spots to push both viewers and creators into better decision-making models. The results show two main typologies: celebrification, in which a person becomes famous due to their sustainable actions, provoking a metonymic effect, and recelebrification, when famous people or well-known figures redefine their status by acting sustainable, producing a synecdoche effect. In conclusion, it is difficult to define what goes before and what goes after: whether it is the celebrity who passes the attributes onto production or whether it is the production that, by its characteristics, passes its attributes onto the celebrity. Full article

Federated learning preserves the privacy of user data through Machine Learning (ML). It enables the training of an ML model during this process. The Healthcare Internet of Things (HIoT) can be used for intelligent technology, remote detection, remote medical care, and remote monitoring. The databases of many medical institutes include a vast quantity of medical information. Nonetheless, based on its specific nature of health information, susceptibilities to private information, and since it cannot be pooled related to data islands, Federated Learning (FL) offers a solution as a shared collaborative artificial intelligence technology. However, FL addresses a series of security and privacy issues. An adaptive Differential Security Federated Learning Healthcare IoT (DPFL-HIoT) model is proposed in this study. We propose differential privacy federated learning with an adaptive GBTM model algorithm for local updates, which helps adapt the model’s parameters based on the data characteristics and gradients. By training and applying a Gradient Boosted Trees model, the GBTM model identifies medical fraud based on patient information. This model is validated to check performance. Real-world experiments show that our proposed algorithm effectively protects data privacy. Full article

The International Maritime Organization (IMO) and European Union (EU) have set targets to reduce greenhouse gas (GHG) emissions. Focusing on ships above 5000 GT, their measures exclude several ship types, such as fishing vessels, offshore ships, and yachts. However, smaller ships generate 15–20% of the total GHG emissions. Multiple potential fuel alternatives are already in use or have been investigated to minimize carbon emissions for coastal ferries. This study evaluates the possibility of using alternative fuels for small ferries by seven different parameters: technical readiness, presence of regulations, GHG emission reduction effectiveness (with two different criteria), capital expenditure (Capex), operating expenditure (Opex), and ice navigation ability. The assessment is based on an evaluation of state-of-the-art literature as well as second-hand statistics and press releases. The study also reports the most recent implementations in each alternative technology area. As a result, it was found that although there are several measures with high potential for the future, the most feasible fuel alternatives for coastal ferries would be fully electric or diesel-electric hybrid solutions. Full article

The choice of an appropriate fuel can effectively prolong the refueling cycle of a reactor core. The Th-U cycle and U-Pu cycle are commonly used fuel breeding cycles. Oxide fuels, nitride fuels, and metal fuels are the primary candidate fuels for lead-based reactors. For fuel selection, a core model of a 60 MWt reactor was established. The results show that the breeding performance of the breeding fuel Th-232 is better than that of U-238, and the driving performance of the driving fuel Pu-239 is better than that of U-235. Therefore, PuO₂-ThO₂, PuN-ThN, and Pu-Th-Zr fuels may have good performance. By comparing the reactivity loss of three types of fuel, it was found that the reactivity loss of PuN-ThN fuel is the smallest. Hence, using PuN-ThN fuel as a core fuel can result in a longer refueling cycle. On this basis, PuN-ThN fuel was used in the preliminary design of the 120 MWt core physical model. It can be seen that when PuN-ThN fuel is used as the core fuel, a smaller reactivity swing (1408 pcm), smaller power peak factor, and super long refueling cycle (more than 30 years) can be obtained. Full article

As the main island of the Madeira Archipelago, Madeira is faced with a clear demand for more precise and specific planning policies, in order to respond to regional requests. Bearing in mind the urgency of this issue linked to the concept of sustainability, planning strategies must be based on and strengthened by several studies, with the most varied themes, as a way of incisively understanding the problem at hand. Based on tools such as GIS (geographic information systems), this study allows the analysis of variations and patterns of land use and occupancy in the municipality of Ribeira Brava, located on Madeira Island. In a comprehensive manner, the study allows us to highlight the stagnation of the urban fabric of the region and, on the other hand, the change in the dynamics of agricultural cultivation present in the county. In addition, this study highlights the change in the predominant native vegetation in the municipality between the years 1990 and 2018. It is still necessary to emphasize the worrying scenario with the loss of native vegetation due to human activity, which requires more emphatic monitoring by regional government actors to protect, preserve and conserve these landscapes, environments and ecosystems. Full article

Employing environmentally friendly reducing and capping materials to synthesize gold nanoparticles is an exciting research point. However, the used materials usually need a long reduction time that can take days. In this work, the instantaneous production of small-sized (less than 20 nm) gold nanoparticles is investigated using ascorbic acid, gelatin, and a mixture of the two agents at different preparation conditions (at room temperature; 20 ± 3 °C and near boiling temperature; 95 ± 3 °C). Particle size analysis, as well as transmission electron microscopy, were used to assess the produced particles’ physical characteristics. The structural changes and optical characteristics of the nanoparticles were monitored using UV–visible spectroscopy. Fourier Transform Infrared spectroscopy (FTIR) was used to establish the presence of a gelatin coating over the gold nanoparticles. The morphology of the produced nanoparticles at 95 ± 3 °C was spherical with a size ranging from 8–18 nm, whereas urchin-shaped nanoparticles ranging from 24–100 nm were formed at 20 ± 3 °C reaction temperature. The presence of hydroxyl and amine groups associated with the gelatin was confirmed using FTIR. This could be a step for wider usage of green synthesized nanogold particles in several applications. Full article

The management of plastic packaging waste is advancing quickly, and new strategies are being implemented worldwide for better resource recovery. To assess the environmental benefits of new ways of handling plastic packaging waste, we need to first evaluate current waste management options in order to create a basis for comparison. In this study, the environmental impacts of plastic packaging waste handling are assessed for the first time in Iceland using the life cycle assessment (LCA) methodology. The results show that mechanical recycling, despite including the impacts of exporting the waste to different European countries, has more environmental benefits than landfilling the waste in Iceland. Increasing the recycling rates of plastic waste in Iceland is also identified as a promising option from a resource efficiency perspective. With better waste sorting, Iceland can become more environmentally sustainable, ensuring that plastic materials land in recycling processes, and thereby enhancing the flow of material in the circular economy. Full article

The global supply chain has suffered an unprecedented impact Affected by multiple factors such as anti-globalization, rising trade protectionism and the COVID-19 pandemic. Based on the technology-organization-environment framework and resource-based theory, this study attempts to explore and analyze what drives a firm’s willingness to adopt artificial intelligence technology and how such willingess to adopt artificial intelligence technology may contribute to supply chain resilience and supply chain performance. Using survey data collected from 318 firms in China, we empirically test our arguments and hypotheses through the structural equation modeling approach. The results suggest that the relative advantages of enterprise artificial intelligence technology, supply chain collaboration, and environmental uncertainty are the three major factors affecting the adoption of artificial intelligence technology, which subsequently provide a positive impact on supply chain resilience and supply chain performance. This study expands the application field and scope of artificial intelligence technology, fills the relatively large gap in the research on the behavior of enterprise users adopting artificial intelligence technology in the supply chain field. This provides a useful reference for enterprises to adopt artificial intelligence technology. Full article

A close collaboration between infrastructure owners is crucial to address challenges in the design and execution of next-generation infrastructure projects for sustainable development. Managing and sharing data among parties involved in infrastructure projects, particularly the data required at the early stages of a project to design and develop an interconnected infrastructure project, appear to play a critical role in inter-organizational collaboration (IOC), but are often overlooked. In the present work, the status of collaboration and data sharing between infrastructure owners in inter-organizational infrastructure projects is studied to enhance our understanding of the relationship between collaboration and data sharing in horizontal IOCs. Explorative semi-structured interviews with practitioners were conducted at organizational and project levels in the infrastructure sectors in The Netherlands. The outcomes revealed that the theoretical benefits of IOC are not realized in practice and that managing and sharing data between infrastructure owners in inter-organizational projects (IOP) face many challenges. The findings suggest that collaboration and data sharing are interrelated in horizontal IOCs and are deemed crucial for the execution of IOPs. The findings of the present study demonstrate the importance of the bilateral relationship between effective collaboration and data sharing and provide an enhanced insight into horizontal forms of IOC and practices of next-generation infrastructure development. Full article

The freeway is a continuous flow facility that improves the accessibility and operational efficiency of the road network. However; freeway merging areas are accident-prone areas. In order to investigate the reasons for the high occurrence of accidents in merging areas, this paper considers the dynamic nature of traffic conflicts, constructs a sequence model of merging conflicts with Time Difference to Collision (TDTC) as the index, and implements automatic identification of merging conflicts based on the LightGBM algorithm. A UAV was used to collect vehicle trajectory data at the Guanghe Freeway in Guangzhou to verify the accuracy of automatic identification, with an accuracy rate of 91%. The results show that the most important feature of severe conflicts is the choice of the merging position. In addition, the most important feature of general conflicts is the standard deviation of speed before merging. Lastly, the most important feature of minor conflicts is the longitudinal speed difference between the ramp and mainline vehicles. Full article

The dynamic growth and evolution of tourism in recent times and its growing importance for the economies of many countries has been drastically hampered by the COVID-19 pandemic. The pandemic has not only affected tourism through travel restrictions and the associated difficulties faced by the tourism industry, but it has also changed people’s tourism preferences (mass tourism has been replaced by more sustainable tourism), as well as their motives for undertaking tourism. The aim of this study is to assess students’ views on the role of the COVID-19 pandemic in shaping their tourism experiences and beliefs about the future of tourism in the perspective of the pandemic and its global implications. The issue is of interest given the young age of the study participants and the belief that they are key influencers in shaping the image of global tourism in the post-pandemic period. The participants of this study were 196 students from higher education institutions in Gdansk, representing both tourism- and non-tourism-related majors. The aim of this study was achieved using the diagnostic survey method, collecting information about the respondents’ beliefs based on a research tool in the form of a survey questionnaire. The results suggest that tourism activities and students’ motives for engaging in them may change after the pandemic expires compared to before COVID-19. In general, studying tourism is associated with moderate attitudes towards the aftermath of the coronavirus compared to the more radical responses of students who do not study tourism. A limitation of this pilot study was the geographical restriction of the respondents to the Polish population, which makes it difficult at this stage to draw more generalized conclusions. Full article