Search Results (360)

Previous studies on single-polarized InSAR-based sub-canopy topography inversion have mainly relied on simplified or empirical models that only consider the volume scattering process. In a boreal forest area, the canopy layer is often discontinuous. In such a case, the radar backscattering echoes are mainly dominated by ground surface and volume scattering processes. However, interferometric scattering models like Random Volume over Ground (RVoG) have been little utilized in the case of single-polarized InSAR. In this study, we propose a novel method for retrieving sub-canopy topography by combining the RVoG model with multi-baseline InSAR data. Prior to the RVoG model inversion, a SAR-based dimidiate pixel model and a coherence-based penetration depth model are introduced to quantify the initial values of the unknown parameters, thereby minimizing the reliance on external vegetation datasets. Building on this, a nonlinear least-squares algorithm is employed. Then, we estimate the scattering phase center height and subsequently derive the sub-canopy topography. Two frames of multi-baseline TanDEM-X co-registered single-look slant-range complex (CoSSC) data (resampled to 10 m × 10 m) over the Krycklan catchment in northern Sweden are used for the inversion. Validation from airborne light detection and ranging (LiDAR) data shows that the root-mean-square error (RMSE) for the two test sites is 3.82 m and 3.47 m, respectively, demonstrating a significant improvement over the InSAR phase-measured digital elevation model (DEM). Furthermore, diverse interferometric baseline geometries and different initial values are identified as key factors influencing retrieval performance. In summary, our work effectively addresses the limitations of the traditional RVoG model and provides an advanced and practical tool for sub-canopy topography mapping in forested areas. Full article

Cherry tomatoes are highly appreciated for their nutritional value but remain highly perishable due to rapid respiration and senescence. This study evaluated a multi-hurdle strategy combining plasma-activated water (PAW), sodium caseinate-based edible coating, and antioxidant active packaging to preserve minimally processed (MP) cherry tomatoes stored at 1 °C, 4 °C, and 8 °C for 15 days. Quality evolution was monitored through physical, chemical, nutritional, and microbiological parameters and described using pseudo-zero- and first-order kinetic models, with temperature dependence expressed by the Arrhenius equation. The combined treatment (prototype) slowed the degradation rates of pH, titratable acidity, total polyphenols, and antioxidant capacity, as reflected by consistently lower kinetic rate constants across all temperatures. Prototype samples showed better retention of polyphenols and antioxidant capacity, particularly at 1 °C and 4 °C, without detrimental effects on visual appearance. Metagenomic analysis revealed that the multi-hurdle treatment reshaped the microbial community, reducing the relative abundance of potentially problematic taxa such as Acinetobacter johnsonii and limiting the occurrence of antimicrobial resistance (AMR) genes at the end of storage. This study provides the first integrated assessment of PAW, edible coating, and antioxidant active packaging as a synergistic multi-hurdle strategy, demonstrating their combined ability to extend shelf life while modulating the microbiome and resistome of minimally processed cherry tomatoes. Full article

Conventional urea nitrogen (N) fertilizers are characterized by low use efficiency, resulting in substantial economic losses and environmental degradation. To address this issue, we developed a novel carbon-based stabilized coated urea by incorporating biochar, the urease inhibitor NBPT, and the nitrification inhibitor DCD through a low-energy in situ coating process. This study evaluated the effects of this fertilizer on N transformation and loss via soil column leaching and ammonia volatilization experiments, as well as its impact on choy sum (Brassica chinensis L.) yield, N use efficiency (NUE), and product quality under field conditions. Results indicated that coatings containing both NBPT and DCD (specifically, formulations with 0.5%NBPT + 1.0%DCD, and 1.0%NBPT + 1.5%DCD) significantly reduced cumulative ammonium-N leaching by 41.5–53.8% and nitrate-N leaching by 45.3–59.4% compared to conventional urea. All coated treatments suppressed ammonia volatilization by over 10%, with the highest inhibition (26.92%) observed in the treatment with 1.0%NBPT + 1.5%DCD. The synergistic coating also modulated key soil enzyme activities involved in N cycling. Field trials demonstrated that the formulations with 0.5%NBPT + 1.0%DCD and 0.5%NBPT + 1.5%DCD increased choy sum yield by 56.1% and 58.1%, respectively, while significantly improving NUE and agronomic efficiency. Moreover, these treatments enhanced vegetable quality by reducing nitrate content and increasing vitamin C and soluble sugar concentrations. In conclusion, this carbon-based stabilized coated urea, which integrates biochar with NBPT and DCD, represents a promising strategy for minimizing N losses, improving NUE, and advancing sustainable vegetable production. Full article

Background/Objectives: The growing prevalence of mental health problems among medical students is a global concern, with dietary patterns emerging as potential modifiable factors. This study aimed to explore and evaluate whether higher consumption of ultra-processed foods may be associated with greater symptoms of anxiety and depression. Methods: This was an exploratory cross-sectional study integrated into a previous cohort of medical students, conducted based on the guidelines for Strengthening the Reporting of Observational Studies in Epidemiology. Sixty-seven medical students completed a Food Frequency Questionnaire-based index. Dietary patterns and the associations between these patterns and symptoms of anxiety and/or depression were assessed statistically. Results: There were differences in the consumption of unprocessed or minimally processed foods, including fruits, vegetables, legumes and unsweetened juices between groups with/without anxiety or depression (p < 0.05). A higher intake of ultra-processed foods such as pizza, hot dogs, cereals high in fat and sugar, processed beverages and sweets was linked to greater symptoms (p < 0.05; Cohen’s d = 0.3–0.7). Three to four dietary patterns were identified, explaining between 60% and 86% of the variance. High consumption of cereals with added fat and sugars increased the risk by 7.4 times (OR = 7.4, 95% CI 1.2–12.2, p < 0.05). Conclusions: Dietary intake was associated, but not causally linked, to emotional symptoms among medical students. Lower consumption of unprocessed foods and higher intake of ultra-processed foods formed consistent behavioral profiles associated with anxiety and depression. Consuming more than three daily servings of cereals with added fat and sugar increased the risk of severe depressive symptoms by more than sevenfold, highlighting a strong dietary determinant. Future research should assess nutritional interventions aimed to improve mental health and academic performance in medical students. Full article

Invasive insects pose significant ecological challenges due to their interactions with other species, which can have a considerable impact on pre-existent ecosystems. In the present study, we analysed the foraging behaviour of the invasive Polistes dominula, which was first detected in NW Patagonia in 2003, and the native wasp Hypodynerus labiatus. We evaluated their foraging behaviour in two types of environments: closed habitats with dense vegetation and open habitats without surrounding bushes and trees. Additionally, we recorded the wasps’ feeding choices at three different heights within each context. Our results showed that these sympatric wasps prefer to forage in different environments and in distinct microsite strata within each environment. Polistes dominula collected food from the ground level in both open and closed habitats, while H. labiatus was more frequently observed in closed areas, gathering resources from higher strata. The observed differences suggest that the collecting sites showed minimal overlap, which may facilitate their coexistence. These findings shed new light on the behavioural processes and interspecific interactions between a highly invasive wasp and a poorly studied native species that inhabit urban and semi urban environments in Patagonia. Full article

Fresh, minimally processed foods contain many valuable nutrients but are also a source of pathogenic microorganisms. This study aimed to investigate the presence of filamentous fungi and mycotoxin contamination in leafy vegetables. A total of 160 samples of lettuce, spinach, mixed salads, and sprouts from markets and gardens were tested. Fungal strains were cultured on Malt Extract Agar with chloramphenicol (50 mg/L). Fungal identification was performed by macroscopic and microscopic observations, amplification of the small subunit rRNA (SSU rRNA) gene fragment, and sequencing. Total aflatoxins, aflatoxin B1, and zearalenone contents were determined using the ELISA method. The mean concentrations of filamentous fungi in fresh and minimally processed vegetables were 9.4 × 10² CFU/g and 3.4 × 10² CFU/g, respectively. Nineteen fungal genera were identified, in addition to non-sporulating fungi, of which the largest percentage comprised the genera Cladosporium (38%), Alternaria (37%), and Fusarium (30%), and less frequently Penicillium, Mucor, Trichoderma, and Aspergillus (from 8 to 14% of positive samples). The highest percentage of samples contaminated with zearalenone was observed in the spinach group. Ready-to-eat leafy vegetables should be monitored for contamination with filamentous fungi and mycotoxins as they pose a potential risk to consumer health. Full article

This review provides a comprehensive overview of strategies to mitigate pesticide residues in food, examining both household and industrial processing techniques alongside the emerging role of Artificial Intelligence (AI). Simple household methods, such as washing, peeling, and thermal processing (e.g., boiling, frying), are effective. For instance, washing with running water achieves a reduction of up to 77% in residue for some vegetables. Additionally, processes like jam-making or frying can significantly reduce specific residues. Industrially, advanced methods such as ozonated water washing, ultrasonification, and cold plasma are employed for high efficiency while preserving food quality. Critically, AI is emerging as a powerful, indirect tool through predictive modelling, AI-assisted sorting/screening, and consumer guidance, enhancing precision agriculture and regulatory analytics. The review paper concludes that a combination of these diverse methods is essential for minimizing pesticide exposure and ensuring a safer food supply. Full article

Globally, lakes are increasingly recognized as sensitive indicators of climate change and ecosystem stress. Qaraoun Lake, Lebanon’s largest artificial reservoir, is a critical resource for irrigation, hydropower generation, and domestic water supply. Over the past 25 years, satellite remote sensing has enabled consistent monitoring of its hydrological and environmental dynamics. This study leverages the advanced cloud-based processing capabilities of Google Earth Engine (GEE) to analyze over 180 cloud-free scenes from Landsat 7 (Enhanced Thematic Mapper Plus) (ETM+) from 2000 to present, Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) from 2013 to present, and Landsat 9 OLI-2/TIRS-2 from 2021 to present, quantifying changes in lake surface area, water volume, and pollution levels. Water extent was delineated using the Modified Normalized Difference Water Index (MNDWI), enhanced through pansharpening to improve spatial resolution from 30 m to 15 m. Water quality was evaluated using a composite pollution index that integrates three spectral indicators—the Normalized Difference Chlorophyll Index (NDCI), the Floating Algae Index (FAI), and a normalized Shortwave Infrared (SWIR) band—which serves as a proxy for turbidity and organic matter. This index was further standardized against a conservative Normalized Difference Vegetation Index (NDVI) threshold to reduce vegetation interference. The resulting index ranges from near-zero (minimal pollution) to values exceeding 1.0 (severe pollution), with higher values indicating elevated chlorophyll concentrations, surface reflectance anomalies, and suspended particulate matter. Results indicate a significant decline in mean annual water volume, from a peak of 174.07 million m³ in 2003 to a low of 106.62 million m³ in 2025 (until mid-November). Concurrently, pollution levels increased markedly, with the average index rising from 0.0028 in 2000 to a peak of 0.2465 in 2024. Episodic spikes exceeding 1.0 were detected in 2005, 2016, and 2024, corresponding to documented contamination events. These findings were validated against multiple institutional and international reports, confirming the reliability and efficiency of the GEE-based methodology. Time-series visualizations generated through GEE underscore a dual deterioration, both hydrological and qualitative, highlighting the lake’s growing vulnerability to anthropogenic pressures and climate variability. The study emphasizes the urgent need for integrated watershed management, pollution control measures, and long-term environmental monitoring to safeguard Lebanon’s water security and ecological resilience. Full article

The global food industry is undergoing a critical shift toward sustainability, driven by high postharvest losses—reaching up to 40% for fruits and vegetables—and the need to reduce environmental impact. Sustainable postharvest innovations focus on improving quality, extending shelf life, and minimizing waste through eco-efficient technologies. Advances in non-thermal and minimal processing, including ultrasound, pulsed electric fields, and edible coatings, support nutrient preservation and food safety while reducing energy consumption. Although integrated postharvest technologies can reduce deterioration and microbial spoilage by 70–92%, significant challenges remain, including global losses of 20–40% and the high implementation costs of certain nanostructured materials. Simultaneously, eco-friendly packaging solutions based on biodegradable biopolymers and bio-composites are replacing petroleum-based plastics and enabling intelligent systems capable of monitoring freshness and detecting spoilage. Energy-efficient storage, smart sensors, and optimized cold-chain logistics further contribute to product integrity across distribution networks. In parallel, the circular bioeconomy promotes the valorization of agro-food by-products through the recovery of bioactive compounds with antioxidant and anti-inflammatory benefits. Together, these integrated strategies represent a promising pathway toward reducing postharvest losses, supporting food security, and building a resilient, environmentally responsible fresh produce system. Full article

From the first spontaneous fermentations of early civilizations to the precision of modern biotechnology, natural starter cultures have remained at the heart of fermented food and beverage production. Composed of complex microbial communities of lactic acid bacteria, yeasts, and filamentous fungi, these starters transform raw materials into products with distinctive sensory qualities, extended shelf life, and enhanced nutritional value. Their high microbial diversity underpins both their functional resilience and their cultural significance, yet also introduces variability and safety challenges. This review traces the historical development of natural starters, surveys their global applications across cereals, legumes, dairy, vegetables, beverages, seafood, and meats, and contrasts them with commercial starter cultures designed for consistency, scalability, and safety. Within the context of organic food production, natural starters offer opportunities to align fermentation with principles of sustainability, biodiversity conservation, and minimal processing, but regulatory frameworks—currently focused largely on yeasts—pose both challenges and opportunities for broader certification. Emerging innovations, including omics-driven strain selection, synthetic biology, valorization of agro-industrial byproducts, and automation, offer new pathways to improve safety, stability, and functionality without eroding the authenticity of natural starter cultures. By bridging traditional artisanal knowledge with advanced science and sustainable practices, natural starters can play a pivotal role in shaping the next generation of organic and eco-conscious fermented products. Full article

This paper proposes the “return-to-nature” as an operational design framework for integrating spontaneous habitats and informal green areas into contemporary urban landscapes. Using spatial analysis, field observations, and open-access ecological datasets, the study examines three sites in Eastern Rome—Ex Snia Viscosa, Parco della Serenissima, and the ZSC “Travertini Acque Albule”—to evaluate how low-maintenance, process-based landscapes can contribute to biodiversity networks and climate adaptation. The results reveal recurrent patterns, including the ecological value of unmanaged areas, the interaction between cultural heritage and spontaneous vegetation, and inconsistencies between formal protection boundaries and actual habitat distribution. Based on these findings, six operational principles are defined: access by least impact, differential maintenance, succession windows, interpretive minimalism, co-stewardship, and adaptive monitoring. The study also advances the idea of a Rome–Tivoli Greenway as a transferable Mediterranean model capable of applying these principles at a territorial scale. The findings show that spontaneous urban nature can function as ecological infrastructure, support community stewardship, and reduce management costs, while also presenting risks such as invasive species dynamics and potential conflicts over access. The paper concludes with policy mechanisms—adaptive maintenance regimes, stewardship agreements, and updated planning tools—to operationalise the proposed approach and support more resilient and biodiverse urban landscapes. Overall, the “return-to-nature” framework provides a transferable approach for cities seeking to enhance biodiversity, resilience, and socio-ecological integration through lighter and more adaptive design strategies. Full article

Smart self-healing polymer materials are breaking open new pathways in industry, minimizing waste, and enhancing the long-term reliability of applications. Moreover, when they possess anti-corrosive properties, they effectively protect surfaces from wear and corrosion, leading to improved and more robust products. In the present work, we develop a series of new self-healing polyurethane coatings activated by temperature, through the encapsulation of vegetable oils (VO), namely olive, soybean, and castor oil, in the core of polyurea microcapsules (VO-MCs). Using a green method, water-dispersible microcapsules were embedded in water-based polyurethane matrices. Both the self-healing ability and the anti-corrosive properties of the respective films were evaluated after mechanical damage. Encapsulation allowed for the direct release of VOs into the damaged area; subsequently, the temperature increase reduced the viscosity of the oils, facilitating their flow and diffusion into the damaged area and accelerating the healing process. Soybean oil and olive oil showed remarkable performance in terms of self-healing and high anti-corrosion ability for the polyurethane coatings, while castor oil showed a limited anti-corrosion effect but quite satisfactory effectiveness in terms of self-healing. Overall, the study highlights the potential of using encapsulated oils in environmentally friendly, active coatings with dual action: corrosion protection and self-repair of damage. Full article

Reflectance normalization is critical for minimizing temporal discrepancies and facilitating reliable multi-temporal satellite analysis. However, this process is challenged by the risks of under-normalization and over-normalization, which stem from the inherent complexities of varying atmospheric conditions, data acquisition, and environmental dynamics. Under-normalization occurs when multi-temporal variations are insufficiently corrected, resulting in temporal reflectance inconsistencies. Over-normalization arises when overly aggressive adjustments suppress meaningful variability, such as seasonal and phenological patterns, thereby compromising data integrity. Effectively addressing these challenges is essential for preserving the spatial and temporal fidelity of satellite imagery, which is crucial for applications such as environmental monitoring and long-term change analysis. This study introduces a novel graph-based relaxation for reflectance normalization aimed at addressing issues of under- and over-normalization through a two-stage structural normalization strategy: intra-normalization and inter-normalization. A graph structure represents adjacency and similarity among image instances, enabling an iterative relaxation process to adjust reflectance values. In the proposed framework, the intra-normalization stage aligns images within the same reflectance group to preserve temporally local reflectance patterns, while the inter-normalization stage harmonizes reflectance across different groups, ensuring smooth temporal transitions and maintaining essential temporal variability. Experimental results with the metrics root mean squared error (RMSE) and Structural Similarity Index Measure (SSIM) demonstrate the effectiveness of the proposed method. Specifically, the proposed method achieves around 37% improvement measured by RMSE in the transition of two adjacent image groups compared with related normalization methods. Graph-based relaxation preserves seasonal dynamics, ensures smooth transitions, and improves vegetation indices, making it suitable for both short-term and long-term environmental change analysis. Full article

With the rapid development of the vegetable industry and the accelerating pace of population aging, mechanization in the core production process of vegetable seedling grafting has become an inevitable trend. To address this, various vegetable grafting devices have been developed globally. However, most existing equipment exhibits limited automation and is prone to damaging young plant stems during operation. To effectively reduce seedling injury, improve grafting quality, and increase success rates, this study focused on tray seedlings of cucurbitaceous vegetables as grafting subjects. Based on the bud grafting method, we conducted mechanistic analysis and structural design for the cutting module, the integrated clamping and grafting mechanism, and the clip supply and binding system. Experiments were carried out at the Protected Agriculture Demonstration Base in Ke Township, Yecheng County, Kashgar Prefecture, Xinjiang. The study adopted the multiple-group repeated experiment verification method, and completed verification through cutting tests and grafting efficiency tests. Specifically, 250 rootstocks and 250 scions were selected for the cutting tests, while 500 rootstocks and 500 scions were selected for the grafting efficiency tests; both tests were divided into 5 groups, and the data were analyzed using descriptive statistical analysis. Cutting trials and clamping performance tests demonstrated that the designed mechanism improves the precision of alignment between rootstock and scion cuts while minimizing potential damage during clamping, confirming the rationality of the design. The overall performance was further validated in grafting trials using Qingyan rootstock No. 1 pumpkin and Yongtian No. 5 melon as scions. Results showed that with rootstock and scion cutting angles set at 30° and 25°, respectively, and corresponding cut surface lengths of 6.34 ± 0.18 mm and 6.29 ± 0.14 mm, the device achieved a grafting efficiency of 1400 plants per hour with an average success rate of 90%, and no obvious stem damage was observed during the clamping process. These results demonstrate that the proposed grafting machine design is effective in enhancing both grafting efficiency and quality. Full article

The demand for safe, high-quality, and minimally processed food has intensified interest in non-destructive analytical techniques capable of assessing freshness and safety in real time. Among these, near-infrared (NIR) spectroscopy and biosensors have emerged as leading technologies due to their rapid, reagent-free, and sample-preserving nature. NIR spectroscopy offers a holistic assessment of internal compositional changes, while biosensors provide specific and sensitive detection of biological and chemical contaminants. Recent advances in miniaturization, chemometrics, and deep learning have further enhanced their potential for inline and point-of-need applications across diverse food matrices, including meat, seafood, eggs, fruits, and vegetables. This review critically evaluates the operational principles, instrumentation, and current applications of NIR spectroscopy and biosensors in food freshness and safety monitoring. It also explores their integration, highlights practical challenges such as calibration transfer and regulatory hurdles, and outlines emerging innovations including hybrid sensing, Artificial Intelligence (AI) integration, and smart packaging. The scope of this review is to provide a comprehensive understanding of these technologies, and its objective is to inform future research and industrial deployment strategies that support sustainable, real-time food quality control. These techniques enable near real-time monitoring under laboratory and pilot-scale conditions, showing strong potential for industrial adaptation. The nature of these targets often determines the choice of transduction method. Full article