Search Results (12,865)

Biohydrogen, a low-carbon footprint technology, can play a significant role in decarbonizing the energy system. It uses existing infrastructure, is easily transportable, and produces no greenhouse gas emissions. Four technologies can be used to produce biohydrogen: photosynthetic biohydrogen, dark fermentation (DF), photo-fermentation, and microbial electrolysis cells (MECs). DF produces more biohydrogen and is flexible with organic substrates, making it a sustainable method of waste repurposing. However, low achievable biohydrogen yields are a common issue. To overcome this, catalytic mechanisms, including enzymatic systems such as [Fe-Fe]- and [Ni-Fe]-hydrogenases in DF and electroactive microbial consortia in MECs, alongside advanced electrode catalysts which collectively surmount thermodynamic and kinetic constraints, and the two stage system, such as DF connection to photo-fermentation and anaerobic digestion (AD) to microbial electrolysis cells (MECs), have been investigated. MECs can generate biohydrogen at better yields by using sugars or organic acids, and combining DF and MEC technologies could improve biohydrogen production. As such, this review highlights the challenges and possible solutions for coupling DF–MEC while also offering knowledge regarding the technical and microbiological aspects. Full article

This study explores the cultural, productive, territorial, and organizational practices of cacao-producing families in Lebrija, Santander (Colombia), within the broader context of rural sustainability and peasant identity in Latin America. In response to recent national and international frameworks recognizing the rights of peasants, the research aims to document local knowledge systems and community-based strategies that sustain rural livelihoods. Through a qualitative ethnographic approach, including participatory workshops, semi-structured interviews, and social cartography, the study collected narratives, practices, and territorial dynamics over the course of one year. The results reveal that cacao production is not only an economic activity, but a deeply embedded cultural process that intertwines with memory, family ties, lunar cycles, and environmental stewardship. Participants described conflicts related to water access, deforestation, poultry farming, and the expansion of urban infrastructure. Despite these pressures, families demonstrated adaptive capacities through agrodiversity, traditional knowledge, and associative work. The study concludes that these cacao-based practices offer valuable insights into bottom-up strategies for resilience and territorial sustainability and calls for greater inclusion of peasant knowledge in rural development agendas. Full article

The growth in the production and use of biodegradable plastics, positioned as an environmentally friendly alternative to traditional polymers, has led to an increase in their distribution in the environment. However, in conditions other than industrial composting facilities, biodegradable polymers can persist for a long time, fragment, and form biodegradable micro- and nanoplastics (BioMNP) with potential toxicity. Unlike traditional microplastics, the impact of BioMNP on human health has been poorly studied. This review summarises the available data on the cytotoxicity of BioMNP, including mechanisms of interaction with human cells, routes of entry into the body, induction of inflammation, oxidative stress, and cellular dysfunction. Particular attention is paid to the interaction of microplastics with cells of various body systems, including the digestive, respiratory, immune, and urogenital systems, as well as with the skin. The identified knowledge gaps highlight the need for further research to assess the risks associated with the impact of BioMNP on humans and to develop safer forms of biopolymers. Among biodegradable plastics, PLA-based particles tend to exhibit stronger cytotoxic effects. Nanoplastics generally induce more severe cellular responses than microplastics. Organs such as the liver and lungs appear particularly vulnerable. Full article

Although the beneficial effects of silicon on plant resistance to biotic and abiotic stresses are recognized, there is a lack of knowledge regarding its application in field conditions and its direct impact on physiological metabolism, root development, and, most importantly, the economic return of corn production in tropical regions. This study is justified by the need to quantify the effects of foliar silicon application on these variables, providing a scientific and economic basis for optimizing corn productivity and profitability in tropical environments. The objective of this study was to evaluate the effect of silicon on physiological metabolism, root system development, grain yield, and the potential economic return of maize production in a tropical region. The study was conducted under field conditions in two growing seasons (2020 and 2021), using a randomized block design in a 2 × 5 factorial arrangement with four replications. The first factor consisted of the maize growing seasons, and the second factor was foliar silicon fertilization (0 (control), 150, 300, 450, and 600 g ha⁻¹). Foliar fertilization with silicon at a dose of 150 g ha⁻¹ increases transpiration rate by up to 9%, net photosynthetic rate by 13%, and grain yield of maize by 10% after two growing seasons, regardless of the water deficit experienced during the crop cycle. At this dose, silicon application is economically viable, yielding the highest differential profit (USD 97.11 ha⁻¹). In conclusion, foliar fertilization with silicon is an agronomically and economically viable strategy for efficient maize grain production during the second growing season in tropical regions. Full article

The estimation of accurate and precise Satellite-Derived Bathymetries (SDBs) is important in marine and coastal applications for a better understanding of the ecosystems and science-based decision-making. Despite the advancements in related Machine Learning (ML) studies, quantifying the anticipated bias per pixel in the SDBs remains a significant challenge. This study aims to address this knowledge gap by developing a spatially explicit uncertainty index of a ML-derived SDB, capable of providing a quantifiable anticipation for biases of 0.5, 1, and 2 m. In addition, we explore the usage of this index for model optimization via the exclusion of training points of high or moderate uncertainty via a six-fold iteration loop. The developed methodology is applied across the national coastal extent of Belize in Central America (~7017 km²) and utilizes remote sensing data from the European Space Agency’s twin satellite system Sentinel-2 and Planet’s NICFI PlanetScope. In total, 876 Sentinel-2 images, nine NICFI six-month basemaps and 28 monthly PlanetScope mosaics are processed in this study. The training dataset is based on NASA’s system Ice, Cloud and Elevation Satellite (ICESat-2), while the validation data are in situ measurements collected with scientific equipment (e.g., multibeam sonar) and were provided by the National Oceanography Centre, UK. According to our results, the presented approach is able to provide a pixel-based (i.e., spatially explicit) uncertainty index for a specific prediction bias and integrate it to refine the SDB. It should be noted that the efficiency of the optimization of the SDBs as well as the correlations of the proposed uncertainty index with the absolute prediction error and the true depth are low. Nevertheless, spatially explicit uncertainty information produced by a ML-related SDB provides substantial insight to advance coastal ecosystem monitoring thanks to its capability to showcase the difficulty of the model to provide a prediction. Such spatially explicit uncertainty products can also aid the communication of coastal aquatic products with decision makers and provide potential improvements in SDB modeling. Full article

The emergence of mass personalized production has increased the adaptability and intelligence requirements of welding robots. To address the challenges associated with mass personalized production, this paper proposes a novel knowledge-driven framework for intelligent welding process planning in cloud robotics systems. This framework integrates cloud-edge-end collaborative computing with ontology-based knowledge representation to enable efficient welding process optimization. A hierarchical knowledge-based architecture was developed using the SQLite 3.38.0, Redis 5.0.4, and HBase 2.1.0 tools. The ontology models formally define the welding tasks, resources, processes, and results, thereby enabling semantic interoperability across heterogeneous systems. A hybrid knowledge evolution method that combines cloud-based welding simulation and transfer learning is presented as a means of achieving inexpensive, efficient, and intelligent evolution of welding process knowledge. Experiments demonstrated that, with respect to pure cloud-based solutions, edge-based knowledge bases can reduce the average response time by 86%. The WeldNet-152 model achieved a welding parameter prediction accuracy of 95.1%, while the knowledge evolution method exhibited a simulation-to-reality transfer accuracy of 78%. The proposed method serves as a foundation for significant enhancements in the adaptability of welding robots to Industry 5.0 manufacturing environments. Full article

Saccorhiza polyschides is a fast-growing pioneer and opportunistic canopy-forming false-kelp belonging to the order Phyllariaceae (Ochrophyta, Phaeophyceae). The species plays a pivotal ecological role in temperate marine ecosystems and exhibits promising potential for diverse biotechnological applications. The species, however, is under growing pressure from anthropogenic disturbance. This review synthesises current knowledge regarding the biology and geographic distribution of the species, with particular emphasis on its distinctive morphology and ultrastructural features. The species’ complex life cycle and marked seasonal productivity are examined concerning environmental variables. Furthermore, we explore the ecological interactions of the species, including its role as a habitat-forming species and its responses to anthropogenic stressors such as climate change and habitat degradation. Special attention is given to the state of knowledge regarding the bioactive compounds and associated bioactivities of S. polyschides. This includes a detailed examination of the species’ phytochemical constituents, extraction and fractionation strategies, as well as in vitro and in vivo bioactivities, and potential biotechnological applications. By integrating findings from recent literature and identifying methodological and knowledge gaps, this paper seeks to provide a comprehensive understanding of S. polyschides as an emergent marine bioresource and to propose directions for future research and sustainable valorisation. Full article

Human energy production and consumption have significantly contributed to the environmental crisis, impacting human health, wellbeing, and social justice. In this context, the concept of energy citizenship has emerged, referring to civic engagement in fostering sustainable and democratic energy systems and transitions. Under the Horizon Europe project EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation), we investigated the conditions and dynamics that promote or hinder energy citizenship and empower citizens to contribute to sustainable energy transformations. Through 44 in-depth interviews and four deliberative workshops in four European case study regions with individuals and organizations engaged in different forms of energy citizenship, we identified key psychological and organizational factors driving citizen empowerment. These findings informed the development of an interactive empowerment toolkit, a digital learning resource designed to enhance energy citizenship literacy and skills. This toolkit, although primarily targeting adults interested in energy citizenship, is adaptable for students and educators at various levels, offering two tracks: one for beginners with no prior involvement in the exercise of energy citizenship, and another for those with experience in energy activism. We highlight the scientific basis of the toolkit, detailing its components and demonstrating its application in fostering energy citizenship empowerment. The tool aims to equip users with the skills and knowledge necessary to actively participate in sustainable energy transitions. Full article

Coal gangue, a primary solid waste by-product of coal mining and processing, constitutes approximately 10–15% of total coal output. Its accumulation poses substantial environmental challenges, including land occupation, spontaneous combustion, acid mine drainage, and heavy metal leaching. Despite its high silica and alumina content (typically exceeding 70% combined), the highly stable and crystalline structure of raw coal gangue limits its pozzolanic activity and adsorption efficiency. To address this limitation, this review emphasizes recent advances in activation strategies such as thermal (500–900 °C), mechanical (dry/wet grinding to less than 200 µm), chemical (acid/alkali treatments), microwave, and hybrid methods. The activated coal gangue resulted in an enhanced surface area (up to 55 m²/g), amorphization of kaolinite to metakaolinite, and the generation of mesoporosity under optimal conditions. This review critically examined the geotechnical applications, such as soil stabilization and mine backfill, highlighting the replacement of 50–75% of cementitious binder in backfilling and meeting the subgrade/base material strength criteria (UCS > 2 MPa). In geoenvironmental applications (adsorption of phosphate, dyes, heavy metals, and CO₂ mineralization), more than 90% of pollutant removal is attained. In construction applications, supplementary cementitious materials and sintered bricks are examined. Several critical knowledge gaps, including limited understanding of long-term durability, inconsistent activation optimization across different coal gangue sources, and insufficient assessment of environmental impacts during large-scale implementation, are clearly addressed. This review provides a roadmap for advancing sustainable coal gangue utilization and highlights emerging opportunities for cost-effective applications in the mining and construction sectors. Full article

Immersive technologies are increasingly acknowledged as powerful tools in sustainability education, capable of fostering deeper engagement and emotional resonance. This study investigates the potential of 360° VR storytelling to enhance learning through embodied knowledge, attitudinal change, and emotional awareness. Conducted within the EMOTIONAL project, the research explores a first-person narrative told from the perspective of a ceramic object rooted in Italian cultural heritage, designed to facilitate meaningful, affective learning. The present study addresses the following research questions: RQ1 Can 360° VR story-living narrations effectively promote embodied learning and semantic and attitudinal shifts in the context of sustainability education? RQ2 What added insights can be gained from integrating subjective assessments with physiological measures? To this end, a hybrid assessment framework was developed and validated, combining subjective self-report tools (including attitudinal scales, semantic differential analysis, and engagement metrics) with objective physiological measures, specifically Electrodermal Activity (EDA). Sixty participants, including students and entrepreneurs, experienced the immersive narrative, and a subset underwent physiological tracking to evaluate the effectiveness of the experience. The findings show that immersive storytelling can enhance emotional and cognitive engagement, producing shifts in semantic interpretation, self-perceived knowledge, and attitudes toward material culture. A convergence of high emotional engagement, embodied learning, and technology acceptance was observed, although individual differences emerged based on prior experience and disciplinary background. EDA data offered complementary insights, identifying specific moments of heightened arousal during the narrative. The study demonstrates that emotionally driven immersive narratives (supported by integrated assessment methods) can make abstract sustainability values more tangible and personally resonant, thereby fostering more reflective and relational approaches to sustainable consumption and production. Full article

The circular economy (CE) aims to reduce environmental degradation by ensuring the continuous use of materials and energy resources, aligning with the decarbonization agenda. However, despite the rising acceptance of CE concepts, the economic and managerial aspects remain underexplored in policy and practice. Therefore, this study seeks to bridge the knowledge–practice gap by studying how technology-driven innovation, renewable energy, and energy efficiency interact with CE principles to advance sustainable environmental connections in a detailed manner. The economic analysis of this study was conducted using two base and moderation models, utilizing global data from 78 developing and developed countries, and applying Fixed Effect, Random Effect, and Generalized Method of Moments estimates. The samples were selected based on data availability from internationally recognized databases from 2010 to 2021. The key findings suggest that technology-driven innovation and renewable energy reduce carbon emissions, whereas gross domestic product (GDP) growth and energy efficiency show no standalone positive effects. Notably, moderation effects reveal that the integration of technology with GDP promotes sustainability outcomes, but energy efficiency and renewable energy interact negatively with emissions, a contradictory result warranting further policy investigation. CE-driven innovation promotes decarbonization by striking a balance between environmental preservation, economic expansion, and technology uptake. This study emphasizes region-specific techniques and offers policy insights for combining the CE with natural capital and green GDP. It increases the knowledge of how circular business models powered by technology support sustainable growth and the shift to a circular economy. Full article

Foodborne pathogenic bacteria, like Salmonella spp. and Listeria monocytogenes, can be detected in the primary food production environment. On the other hand, and in the current context of One Health, antimicrobial resistance (AMR) is gaining increased attention worldwide, as it poses significant threat to public health. The purpose of this study was to confirm the presence of Salmonella spp. and L. monocytogenes in pet food and feed samples, by means of biochemical and/or serological testing of the microbial isolates, and then to screen for AMR against a panel of selected antibiotics. Serotyping of the isolates with multiplex polymerase chain reaction revealed the presence of three of the most common clinical Salmonella serovars (S. Enteritidis, S. Typhimurium, S. Thompson) and the major epidemiologically important L. monocytogenes serotypes (1/2a, 1/2b, 1/2c, 4b) in 15 and 9 confirmed isolates of the pathogens, respectively. Strains of Salmonella spp. showed resistance to tetracycline (n = 3) and combined AMR to tetracycline with either ampicillin (n = 2) or trimethoprim-sulfamethoxazole (n = 3), without any multidrug resistance (MDR) being recorded whatsoever. AMR in L. monocytogenes was documented in 55.5% of the bacterial strains (n = 5) tested against ciprofloxacin, meropenem, penicillin, trimethoprim-sulfamethoxazole, and tetracycline. Alarmingly, one strain of L. monocytogenes was MDR to the latter five antibiotics and deemed resistant in three antibiotic groups (carbapenems, penicillins, tetracyclines), after exhibiting minimum inhibitory concentrations (MICs) to meropenem (MIC = 4 μg/mL), penicillin (MIC = 4 μg/mL), and tetracycline (MIC = 48 μg/mL). To the best of our knowledge, finding an MDR L. monocytogenes in pet food is something reported for the first time herein. The results presented in this study highlight the presence of important foodborne bacterial pathogens, such as Salmonella spp. and L. monocytogenes, with increased AMR to antibiotics and possible MDR at the primary production and at the farm level, due to the misuse of pharmacological substances used to treat zoonotic diseases, probably resulting in detection of resistant strains of these pathogenic bacteria in animal-originated food products (e.g., meat, milk, eggs). Full article

This cross-sectional study assessed the prevalence of food insecurity and food literacy and examined food intake among low-income Saudi families. It provides valuable insights into the association between food literacy, food insecurity, and food intake, contributing to a better understanding of the food-related challenges faced by vulnerable families. Conducted in June 2024, this study involved 483 low-income adults in Jeddah, Saudi Arabia. Data were collected through an online questionnaire distributed via charitable organizations. Overall, 35% of the participants experienced severe food insecurity, while 91.5% demonstrated adequate food literacy. No significant association was found between food literacy and food insecurity levels (p = 0.586). However, severe levels of food insecurity were significantly associated with reduced intake of fruits, vegetables, dairy products, meat, bread and cereals, sugar-sweetened beverages, potato crisps or salty snacks, sweets, and fast food (p < 0.001). Additionally, a significant difference was observed in the consumption of potato crisps or salty snacks, with individuals exhibiting adequate food literacy consuming slightly more than those with poor food literacy (0.25 ± 0.28 vs. 0.21 ± 0.30, p = 0.04). These findings highlight the need for interventions that not only build food knowledge but also address affordability, access, and cultural food norms among low-income Saudi families. Full article

The human gut microbiota is a complex ecosystem that influences host metabolism, immune function, and cardiovascular health. Dysbiosis, defined as an imbalance in microbial composition or function, has been linked to the development and progression of atherosclerosis. This connection is mediated by microbial metabolites that enter the systemic circulation and interact with vascular and immune pathways. Among these, trimethylamine N-oxide (TMAO) has been most extensively studied and is consistently associated with cardiovascular events. Other metabolites, including lipopolysaccharides (LPS), short-chain fatty acids (SCFAs), and secondary bile acids, also contribute by modulating inflammation, endothelial function, and lipid metabolism. Recent research has expanded to emerging metabolites such as indoxyl sulfate, indole-3-propionic acid, and polyamines, which may provide additional mechanistic insights. These microbial products are increasingly explored as biomarkers of cardiovascular risk. TMAO has shown predictive value in large human cohorts, while microbiota composition and diversity measures remain less consistent across studies. However, interpretation of these biomarkers is limited by methodological variability, interindividual differences, and lack of standardization. Therapeutic interventions targeting the gut–heart axis are under investigation. Dietary strategies such as the Mediterranean diet and fiber-rich nutrition, probiotics and prebiotics, and fecal microbiota transplantation (FMT) show promise, while pharmacological approaches targeting TMAO or bile acid pathways are in early stages. This review summarizes current knowledge on the mechanistic, diagnostic, and therapeutic links between the gut microbiota and atherosclerosis, highlighting both established findings and emerging directions for future research. Full article

To contribute to the emerging knowledge on the sustainability impacts of small, circular clothing reuse businesses in the US, we employed a case study research methodology to empirically test the case of Circular Thrift, an innovative, community-based startup business model with potential to create a circular fashion ecosystem on the firm level. Primary data on circular activities were collected on site within the first year of business operation. The Life Cycle Assessment methodology was conducted to assess environmental impact avoidance. The social impact of reused products was assessed to contribute to a more comprehensive understanding of the benefits of born circular business models. Tangible environmental benefits accounted for the collection of 10,772 apparel units and resulted in the diversion of 2311.05 kg (approximately 5095 pounds) of clothing from the local landfill. Social impact accounted for 45.86% of the collected items that were given back to the local community. Empirical testing of the environmental benefits of a Circular Thrift business model makes a strong case for scaling up reusable efforts as a means to address post-consumer textile waste at the local community level within the US, where formal and government-regulated resource collection and recovery systems still do not exist. Full article