Search Results (559)

Urban agriculture in space-constrained cities requires compact, reproducible propagation systems. Therefore, the aim of this Technical Note is to design, implement, and functionally validate a low-cost, modular hydroponic chamber (SSHG) for early-stage vegetative propagation. This system couples DHT11-based temperature/RH monitoring with rule-based actuation—irrigation 4×/day and temperature-triggered ventilation—under the control of an Arduino Uno microcontroller; LED lighting was not controlled nor analyzed. Two 15-day trials with basil (Ocimum basilicum L.) yielded rooting rates of 61.7% (37/60) and 43.3% (26/60) under a deliberate minimal-input configuration without nutrient solutions or rooting hormones. Environmental summaries and spatial survival maps revealed edge-effect patterns and RH variability that inform irrigation layout improvements. The chamber, bill of materials, and protocol are documented to support replication and iteration. Thus, the SSHG provides a transferable baseline for educators and researchers to audit, reproduce, and improve small-footprint, controlled-environment propagation. Beyond its technical feasibility, the SSHG contributes to sustainability by leveraging low-cost, readily available components, enabling decentralized seedling production in space-constrained settings, and operating under a minimal-input configuration. In line with widely reported hydroponic efficiencies (e.g., lower water use relative to soil-based propagation), this open and replicable platform aligns with SDGs 2, 11, 12, and 13. Full article

In Mexico, 95% of the population has access to drinking water sources, but only about 65% of domestic waste water is treated to safe levels. This study analyzes forty years of Mexican scientific production on water and waste water treatment through a bibliometric and conceptual approach, evaluating its contribution Sustainable Development Goal (SDG) 6. The analysis identified three major research clusters: (1) biological processes for water treatment, (2) development and optimization of physical–chemical processes, and (3) water quality and management. These themes reflect the evolution of biological approaches for identifying and removing organic contaminants, the application of advanced techniques for improving water quality, and the promotion of sustainable water use. The study also highlights the growing attention to emerging contaminants, nanotechnology, integrated water resource management, and persistent challenges in sanitation. With respect to SDG 6, Mexican research has mainly focused on targets 6.1 (universal and equitable access to drinking water), 6.3 (water quality), and 6.5 (water resources management), while targets 6.2 (sanitation), 6.a (international cooperation), and 6.b (community participation) remain underrepresented compared with the international benchmarks, where the research trend is on water management, resources, and the water–food–energy nexus. Finally, the findings also show synergies with SDGs 11 (sustainable cities and communities), 9 (industry, innovation, and infrastructure), and 3 (good health and well-being), although gaps persist in addressing equitable access to water and society participation. Full article

Global malnutrition and hunger represent crises of alarming magnitude, threatening progress toward all the Sustainable Development Goals (SDGs). The drivers of food insecurity and malnutrition are complex and interconnected, including conflict, climate change, migration, population aging, and the erosion of social capital. Despite some progress in specific areas, current trends reveal insufficient advancement toward key global nutrition and diet-related, non-communicable disease targets, confirming the persistent double burden of malnutrition. Without urgent, multisectoral action—including investments in integrated nutrition policies, resilient food systems, and conflict resolution—the goal of achieving Zero Hunger by 2030 remains unlikely. The World Food Program estimates that in 2025, 319 million people will face acute food insecurity; if current trends persist, approximately 582 million people could still be chronically undernourished by 2030. Furthermore, overweight and obesity are projected to continue rising globally, with adult obesity prevalence expected to reach 19.8% in 2030. This narrative review synthesizes current global trends in malnutrition—both undernutrition and overnutrition—and food insecurity; it explores the root causes driving these crises and analyzes the scientific literature to inform future research in the critical years leading up to the 2030 Agenda deadline. It calls for coordinated global efforts that prioritize vulnerable populations, which are essential to reversing the current trajectory of malnutrition and hunger. Since nutrition is a fundamental component of sustainable development, achieving the SDG 2 targets is essential to the accomplishment of all 17 goals. Full article

Soybeans (Glycine max L.), a globally significant crop, play a critical role in economic, nutritional, and ecological systems, particularly in rotational farming due to their nitrogen-fixing capacity. This study investigated the residual effects of vermicompost (VC) and vermicompost tea (VCT) applied during a preceding corn cycle on subsequent soybean growth and productivity in an organic corn–soybean rotation. Soybeans were grown in raised beds previously treated with different VCT concentrations and combinations of VC+VCT, without additional fertilization during the soybean phase. Physiological traits, including leaf chlorophyll content (SPAD values) and stomatal conductance, were measured alongside biomass, yield, and plant leaves nutrient concentrations. VC+VCT treatments significantly increased biomass and yield, with VC1+VCT20 achieving the highest biomass (3.02 tons/ha) and yield (1.68 tons/ha). Leaf nutrient analysis revealed increased uptake of both macro- and micronutrients in amended treatments, while SPAD and stomatal conductance values remained consistently higher than in the control. Soil analyses confirmed improved nutrient retention and cation exchange capacity in amended plots, demonstrating the legacy benefits of organic inputs. Therefore, residual VCT and VC+VCT applications improved soybean productivity, nutrient acquisition, and physiological performance in rotational systems. By reducing reliance on synthetic fertilizers and enhancing soil fertility, this strategy supports climate-smart agriculture principles and contributes to SDG 2 (Zero Hunger), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action). Full article

This study investigates the structural and cyclical determinants of tropical hardwood exports among member countries of the International Tropical Timber Organization (ITTO) over the period 1995–2022—a sector historically characterized by persistent value imbalances. The central research issue addresses the enduring asymmetries in the global value chain, shaped by unequal industrial capacities, limited access to environmental certifications, and entrenched North–South trade relations. The study pursues three main objectives: (1) to develop a typology of exporting countries; (2) to estimate heterogeneous trade elasticities; (3) to propose a policy framework that reconciles equity with sustainability. The empirical findings identify four export profiles: (i) raw producers with minimal local processing; (ii) marginal players with weak trade integration; (iii) high-value-added re-export platforms (notably in Asia); (iv) major consumer markets. Trade effects vary across regions. In the short term, imports boost exports (+0.33%), particularly in re-export models seen in Asia, the USA, and the EU, while local production remains limited in Africa due to weak industrial capacity. In the long term, both domestic production and imports have a positive impact (+0.38% and +0.37%), but only countries with strong industrial bases fully benefit. Population size (+1.29%) also reinforces the advantage of large markets like China and India, supported by short-term economic growth elasticity (+1.1%), likely driven by improved logistics or rising demand from importing countries. In response, the policy implications converge around the proposal of a “Fair and Digital Timber Trade Model” (F&DTTT), structured around three pillars: (a) specialized economic zones aligned with SDGs 8, 12, and 15; (b) blockchain-based traceability systems to enhance supply chain transparency; (c) South–South cooperation strategies aimed at commercial, regulatory, and institutional rebalancing, including potential cartelization initiatives among Southern countries. Supported by a robust methodological framework, this study provides a forward-looking pathway for transforming the tropical timber trade into a vector of equity and sustainability. Full article

The increasing urgency of global sustainability challenges has elevated the role of the United Nations Sustainable Development Goals (SDGs) as benchmarks for both academic research and policy development. Within the European Union, measuring how national research systems contribute to SDG-related knowledge is critical for guiding evidence-based policymaking and evaluating progress toward the 2030 Agenda. Since the adoption of the UN 2030 Agenda, research related to the Sustainable Development Goals (SDGs) has expanded significantly, reflecting their central role in guiding both global and European science policy. Despite this growing attention, systematic comparative evidence on how EU27 countries contribute to SDG-related knowledge production remains limited. This study provides a bibliometric analysis of research related to the SDGs across EU27 countries between 2019 and 2023. Drawing on data from Elsevier’s Scopus and SciVal platforms, we examine publication volume, relative share (RS), citation impact (FWCI), growth dynamics (CAGR), and thematic distributions. The dataset includes all document types associated with SDG1–SDG16. Germany, Italy, and France lead in absolute publication output, while smaller member states such as Cyprus, Malta, and Luxembourg display disproportionately high RS values. Health-related research (SDG3) dominates, followed by SDG7 (Affordable and Clean Energy) and SDG12 (Responsible Consumption and Production), whereas socially oriented goals (SDG2 and SDG5) remain underrepresented. Hierarchical cluster analysis, validated through silhouette and agglomeration tests, identifies three groups of countries: (1) high-output, high-impact Northern and Western leaders; (2) diversified performers with balanced portfolios; and (3) emerging contributors from Eastern and Southern Europe. Explanatory analyses link bibliometric outcomes to contextual variables, showing strong correlations with Horizon Europe funding per capita and international collaboration, and moderate associations with GDP per capita and GERD. Institutional-level findings highlight the prominence of leading universities and research institutes, particularly in health sciences. The study introduces a robust cluster-based typology and a multidimensional framework that connects bibliometric performance with economic capacity, research investment, EU funding participation, and collaboration intensity. Policy recommendations are proposed to strengthen thematic balance, improve equitable participation in EU research programs, and foster international cooperation across the European Research Area. Full article

To reduce GHG emissions from food miles and enhance urban food security, this study develops and evaluates an integrated framework combining three strategies: the 15-minute city concept, urban agriculture, and a renewable-energy-powered green transportation (GT) system. The goal is to create a scalable, holistic approach to sustainable food production and distribution within neighborhoods. A Food Production and Transportation Framework is proposed, modeling vegetable cultivation across rooftops, facades, and lot spaces, with optimized allocations based on a tailored Food Production Schedule. The harvested produce is distributed via GT powered by sidewalk-integrated photovoltaics (PVs). Results demonstrate that using 15% of roof, facade, and lot spaces yields an achieved annual food self-sufficiency of 100%. The transportation system operates with a single GT unit powered by 98 m² of sidewalk PVs, reducing CO₂ emissions by 98% from the base case. Economic analysis indicates a payback period of 2.8 years, with the cost of PV-generated electricity estimated at C$0.92/kWh. This framework highlights that 0.19 units of local food production offset one unit of CO₂ emissions. This integrated approach advances multiple UN Sustainable Development Goals (SDGs), including SDG 2 (Zero Hunger), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action). Full article

Accurate river flow velocity estimation is critical for flood risk management and sediment transport modeling. This study proposes an artificial intelligence (AI)-based framework that integrates optical flow analysis and deep learning to estimate flow velocity from charge-coupled device (CCD) camera videos. The approach was tested on a field dataset from Yufeng No. 2 stream (torrent), consisting of 3263 ten min 4 K videos recorded over two months, paired with Doppler radar measurements as the ground truth. Video preprocessing included frame resizing to 224 × 224 pixels, day/night classification, and exclusion of sequences with missing frames. Two deep learning architectures—a convolutional neural network combined with long short-term memory (CNN+LSTM) and a three-dimensional convolutional neural network (3D CNN)—were evaluated under different input configurations: red–green–blue (RGB) frames, optical flow, and combined RGB with optical flow. Performance was assessed using Nash–Sutcliffe Efficiency (NSE) and the index of agreement (d statistic). Results show that optical flow combined with a 3D CNN achieved the best accuracy (NSE > 0.5), outperforming CNN+LSTM and RGB-based inputs. Increasing the training set beyond approximately 100 videos provided no significant improvement, while nighttime videos degraded performance due to poor image quality and frame loss. These findings highlight the potential of combining optical flow and deep learning for cost-effective and scalable flow monitoring in small rivers. Future work will address nighttime video enhancement, broader velocity ranges, and real-time implementation. By improving the timeliness and accuracy of river flow monitoring, the proposed approach supports early warning systems, flood risk reduction, and sustainable water resource management. When integrated with turbidity measurements, it enables more accurate estimation of sediment loads transported into downstream reservoirs, helping to predict siltation rates and safeguard long-term water supply capacity. These outcomes contribute to the Sustainable Development Goals, particularly SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action), by enhancing disaster preparedness, protecting communities, and promoting climate-resilient water management practices. Full article

Iron (Fe) and zinc (Zn) deficiencies, globally prevalent nutritional disorders, underscore the need for effective fortification strategies in staple foods like rice. This study evaluates a bioprocess-based technique for single (SF) and double fortification (DF) of two heritage red rice genotypes (Chennangi—CH, Karungkuruvai—KK) to enhance mineral content and bioavailability. Whole rice grains were germinated in sodium iron EDTA and zinc chloride solutions (SF: 50 and 100 mg/L Fe/Zn; DF: Fe + Zn at a 2:1 ratio). Mineral quantification via microwave plasma atomic emission spectrometry (MPAES) revealed that SF significantly increased fortified mineral content but reduced accessibility of the non-fortified mineral. In contrast, DF substantially enhanced both Fe (2-fold) and Zn (7-fold) content while improving bioaccessibility (Fe: 2–2.5x; Zn: 3–7x), supported by reduced phytate levels. Both genotypes exhibited high Zn accumulation and retention. Cooked DF rice has good sensory acceptability and improved cooking characteristics. At daily consumption levels of 30–150 g, DF rice could meet 16–70% of Fe and nearly 100% Zn Recommended Dietary Intake (RDI) across age groups. This simple, scalable bioprocessing method effectively enhances Fe and Zn bioavailability in wholegrains, offering a promising solution to combat micronutrient deficiencies through dietary staples, contributing to Sustainable Development Goals (SDG 2 and 3) by promoting accessible nutrition for healthier populations. Full article

Radionuclide tracer technology, as a state-of-the-art tool for quantifying and monitoring soil erosion processes, has attracted much attention in global sustainable land management research in recent years. However, existing studies are fragmented in methodological applications, lack systematic knowledge integration and interdisciplinary perspectives, and lack global research trends and dynamic evolution of key themes. This study integrates Bibliometrix, VOSviewer, and CiteSpace to conduct bibliometric and knowledge mapping analysis of 1692 documents (2000–2023) in the Web of Science Core Collection, focusing on the overall developmental trends, thematic evolution, and progress of convergence and innovation. The main findings of the study are as follows: (1) China, the United States, and the United Kingdom are in a “three-legged race” at the national level, with China focusing on technological application innovation, the United States on theoretical breakthroughs, and the United Kingdom contributing significantly to methodological research; (2) “soil erosion” and “¹³⁷Cs” continue to be the core themes, while “climate change” and “human impact” on soil erosion and its reflection in radionuclide tracing became the focus of attention; and (3) multi-scale radionuclide tracing (watershed, slope), multi-method synergy (radionuclide tracing combined with RS, GIS, AI), and the integration of advanced measurement and control technologies (PGS, ARS) have become cutting-edge trends in soil erosion monitoring and control. This study provides three prospective research directions—the construction of a global soil erosion database, the policy transformation mechanism of the SDG interface, and the iterative optimization of multi-radionuclide tracer technology, which will provide scientific guidance for the realization of the sustainable management of soil erosion and the goal of zero growth of land degradation globally. Full article

This comprehensive review critically analyzes the multifaceted role of artificial intelligence (AI) in advancing global sustainability and achieving the Sustainable Development Goals (SDGs). While AI offers powerful solutions for climate action, resource management, and other challenges, its own significant ecological footprint and potential for bias present critical risks that must be proactively managed. This study provides a synthesis of the recent literature (published between 2018 and 2024) to address three primary research questions: (1) What are the main applications of AI for sustainability and their contribution to specific SDGs? (2) What are the primary ecological, socio-economic, and ethical risks of AI adoption? (3) What are the key research gaps and future directions for more sustainable and responsible AI application? A key contribution is a comprehensive, multi-dimensional framework that connects AI applications with an in-depth analysis of their interconnected ecological, algorithmic, and socio-economic risks. This framework, along with a synthesized risk matrix, offers a structured tool for future governance and research, highlighting the need for responsible development to fully leverage AI’s potential for a sustainable future. Full article

As vision and mission statements embody the directions set forth by an organization, their connection to the Sustainable Development Goals (SDGs) must be made explicit to guide overall decision-making in taking strides toward the sustainability agenda. The semantic alignment of these strategic statements with the SDGs is investigated in a previous study, although several limitations need further exploration. Thus, this study aims to advance two contributions: (1) utilizing the capabilities of LLMs (Large Language Models) in text semantic analysis and (2) integrating fuzziness into the problem domain by using a novel intuitionistic fuzzy set extension of the PROBID (Preference Ranking On the Basis of Ideal-average Distance) method. First, a systematic approach evaluates the semantic alignment of organizational strategic statements with the SDGs by leveraging the use of LLMs in semantic similarity and relatedness tasks. Second, viewing it as a multi-criteria decision-making (MCDM) problem and recognizing the limitations of LLMs, the evaluations are represented as intuitionistic fuzzy sets (IFSs), which prompted the development of an IF extension of the PROBID method. The proposed IF-PROBID method was then deployed to evaluate the 47 top Philippine corporations. Utilizing ChatGPT 3.5, 7990 prompts with repetitions generated the membership, non-membership, and hesitance scores for each evaluation. Also, we developed a cohort-dependent SDG–vision–mission matrix that categorizes corporations into four distinct classifications. Findings suggest that “highly-aligned” corporations belong to the private and technology sectors, with some in the industrial and real estate sectors. Meanwhile, “weakly-aligned” corporations come from the manufacturing and private sectors. In addition, case-specific insights are presented in this work. The comparative analysis yields a high agreement between the results and those generated by other IF-MCDM extensions. This paper is the first to demonstrate two methodological advances: (1) the integration of LLMs in MCDM problems and (2) the development of the IF-PROBID method that handles the resulting inherently imprecise evaluations. Full article

With the increasing attention to China’s ecological environment protection and the prominence of lake water environment problems, the impact of soil erosion on lake ecosystems has become an important research topic for regional sustainable development. Based on the CiteSpace bibliometric method, this study systematically analyzed 225 research articles on the impact of soil erosion on the water environment of lakes in China in the core collection of Web of Science from 1998 to 2025, aiming to reveal the research hotspots, evolution trends and regional differences in this field. The results show that China occupies a dominant position in this field (209 papers), and the Chinese Academy of Sciences is the core research institution (93 papers). The research hotspots show obvious policy-driven characteristics, which are divided into slow start periods (1998–2007), accelerated growth periods (2008–2015), explosive growth periods (2016–2020) and stable development periods (2021–2025). A keyword cluster analysis identified nine main research directions, including sedimentation effect (#0 cluster), soil loss (#2 cluster) and nitrogen and phosphorus migration (#11 cluster) in the Three Gorges Reservoir area. The study found that the synergistic effects of climate change and human activities (such as land use change) are becoming a new research paradigm, and the Yangtze River Basin, the Loess Plateau and the Yunnan–Guizhou Plateau constitute the three core research areas (accounting for 72.3% of the total literature). Future research should focus on a multi-scale coupling mechanism, a climate resilience assessment and an ecological engineering effectiveness verification to support the precise implementation of lake protection policies in China. This study provides a scientific basis for the comprehensive management of the soil erosion–lake water environment system, and also contributes a Chinese perspective to the sustainable development goals (SDG6 and SDG15) of similar regions in the world. Full article

Jordan’s aging population faces a critical challenge: a strong cultural preference for aging at home, rooted in Islamic ethics of familial care (birr al-wālidayn), conflicts with housing stock that is largely unsafe and inaccessible. This first national mixed-methods study examines the intersection of home modifications, socio-economic barriers, and cultural constraints to aging in place. Data from 587 surveys and 35 interviews across seven governorates were analyzed using chi-square tests, linear regression, and thematic coding. Results indicate that while physical modifications significantly improve accessibility to key spaces like kitchens and reception areas (majlis) (χ² = 341.86, p < 0.001), their adoption is severely limited. Socio-economic barriers are paramount, with 34% of households unable to afford the median modification cost of over $1500. Cultural resistance is equally critical; 22% of widows avoid modifications like grab bars to prevent the ‘medicalization’ of their home, prioritizing aesthetic and symbolic integrity over safety. The study reveals a significant gendered decision-making dynamic, with men controlling 72% of structural modifications (β = 0.27, p < 0.001). We conclude that effective policy must integrate universal design with Islamic care ethics. We propose three actionable recommendations: (1) mandating universal design in building codes (aligned with SDG 11), (2) establishing means-tested subsidy programs (aligned with SDG 10), and (3) launching public awareness campaigns co-led by faith leaders to reframe modifications as preserving dignity (karama) (aligned with SDG 3). This approach provides a model for other rapidly aging Middle Eastern societies facing similar cultural-infrastructural tensions. Full article

This article analyses the role of the Spanish university system in promoting fair Trade (FT) and the sustainable development goals (SDGs), with a particular focus on the Universities for Fair Trade (UxFT) programme. A mixed methodology combining qualitative and quantitative approaches was used to review and analyse the websites of 90 Spanish universities (both public and private) to assess their commitment to FT and the SDGs. This was based on four variables: (1) reference to the SDGs; (2) a structured programme to promote the SDGs; (3) specific actions to promote or raise awareness of the SDGs; and (4) working on FT. The results show that, while most universities include the SDGs in their institutional strategies, only some have structured programmes. Regarding FT, several universities carry out activities linked to this movement, with some actively participating in the UxFT. Public universities demonstrate greater commitment. The SDGs that are most frequently addressed are 12 (Responsible consumption and production), 4 (Quality education) and 13 (Climate action), highlighting the close relationship between FT and sustainability. The study reveals a gap between discursive commitments to sustainability and the actual implementation of FT practices, suggesting that the integration of FT is not automatic even when SDG strategies are present. This has important implications: promoting FT within universities requires not only structured SDG strategies, but also explicit institutional policies, dedicated resources, and greater awareness of FT transformative potential. The findings underscore the need for stronger institutional commitment to move beyond isolated actions and toward a university model grounded in social justice and sustainability. Integrating the UxFT programme more broadly could help foster critical thinking, participatory governance, and more coherent practices aligned with the 2030 Agenda. Full article