Search Results (1,835)

Capão da Roça, located in the municipality of Charqueadas, is one of the few areas of coal tailing deposits at the surface within the State of Rio Grande do Sul, Brazil that generates acid mine drainage (AMD). Over the course of 2007, the landfill was characterised in detail, and an active treatment plant involving pH neutralisation and metal precipitation operations was implemented to meet emission standards for mine water. In that year, based on the sulphur mass balance, it was estimated that the process of AMD generation would last for approximately two decades. The objective of this work was to study the temporal evolution of the parameters of the raw AMD. The effluent was analysed for 17 years on a monthly basis in regard to pH, acidity, metals (Fe, Al, and Mn), and sulphates. The results indicated an increase in pH (from 2.1 to 4.7), a decay in the concentration of metals (from 177.8 to 0.1 mg L⁻¹ for iron, 29.0 to 0.1 mg L⁻¹ for aluminium, and 3.1 to 0.6 mg L⁻¹ for manganese), sulphates (from 2023 to 307 mg L⁻¹), and acidity (from 539.5 mg CaCO₃ L⁻¹ to 3.96 mg CaCO₃ L⁻¹), which were adjusted to a first-order kinetic model in agreement with observations at some other mining sites. Over the years, the active lime neutralisation–precipitation treatment system has been efficient in treating the effluent. Today, most water quality parameters already meet emissions standards; however, the AMD treatment plant is still necessary to prevent pH fluctuations and to reduce the concentrations of manganese. For this reason, a transition from an active to a passive treatment system was considered. Pilot scale studies confirmed that channels filled with gravel-size limestone or slag enable the neutralisation/increase in the pH of the effluent and remove residual amounts of some metals, resulting in an effluent with no level of toxicity to the microcrustacean Daphnia magna. Full article

The use of saline water (low-quality water) in irrigation is a reality in many regions, especially in areas where fresh water is scarce, like semi-arid regions. However, it is important to adopt strategies to minimize the damage caused by salt stress to plants. The use of soil conditioners can help improve soil structure and water retention capacity, reducing salinity effects. The objective was to analyze the potential of a soil conditioner (hydrogel) as a mitigator of salty stress by irrigation with saline water in ornamental sunflower. Two sunflower cycles were carried out in a protected environment with a factorial 4 × 4 consisting of four doses of hydrogel polymer (0.0, 0.5, 1.0, and 1.5 g kg⁻¹) and four different levels of irrigation with saline water (0.5, 2.0, 3.5, and 5.0 dS m⁻¹). Plant biomass and physiological parameters, such as chlorophyll fluorescence measurements and gas exchange parameters, stomatal conductance, transpiration, and photosynthesis, were evaluated. Ornamental sunflower showed better performance with a saline water of 0.5 dS m⁻¹ without the use of hydrogel. At higher salinity levels, with a hydrogel dose of 1.5 g kg⁻¹, the sunflower achieved favorable performance, promoting gains in some gas exchange variables in plants irrigated with saline water at 3.5 dS m⁻¹ and in fluorescence-related variables within the range of 2.0 to 3.5 dS m⁻¹. This positive effect of hydrogel indicates its potential as a mitigating strategy against the adverse effects of salinity, contributing to the maintenance of plant vigor and physiological functionality in saline environments. Full article

In the rapid development process of cities, as important ecological corridors and landscape carriers, the water quality conditions of urban water bodies are not only related to the health of the ecological environment, but also closely linked to the quality of life of residents. The landscape pattern, as an important component of the urban ecosystem, has a potential impact on water quality. As a tropical coastal city, the unique water network pattern of Haikou City is facing the dual challenges of landscape fragmentation and water quality pollution in its rapid urban expansion. In order to study the impact of the landscape pattern of Haikou City on urban water bodies, this study takes the urban water bodies of Haikou City as the research object. By comprehensively applying landscape ecology methods and water quality monitoring techniques, and using landscape pattern indices (such as the number of patches, fragmentation degree, spread degree, etc.) and on-site investigation of water quality parameter data (such as chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), etc.), and by using correlation analysis and redundancy analysis, we explore the mechanism by which landscape patterns affect water quality. The results show that: (1) There are significant differences in water quality among water bodies. The concentrations of COD and TN in Hongcheng Lake are relatively high. The average values reached 86.603 mg/L and 13.368 mg/L, respectively, mainly affected by the high-intensity construction land around. Jinniu Lake has a high degree of landscape fragmentation and relatively high concentrations of NH3-N and TP. The average values are 2.086 mg/L and 0.154 mg/L, respectively. The Meishe River has a strong water purification capacity due to its good vegetation coverage. (2) The influence of landscape pattern on water quality has a scale effect. Hongcheng Lake, Jinniu Lake, and Meishe River all have the best interpretation rate of water quality in the 2000 m buffer zone landscape pattern. (3) The expansion of construction land has significantly exacerbated water pollution, while natural vegetation landscapes with high connectivity and low fragmentation can effectively improve water quality. The research reveals the correlation between urban landscape planning and water quality protection. It is suggested that by enhancing ecological connectivity, controlling non-point source pollution, and implementing differentiated seasonal management, the self-purification capacity of water bodies can be improved, providing a scientific basis for ecological restoration and sustainable development in Haikou City. Full article

Background/Objectives: Semi-solid extrusion (SSE) three-dimensional (3D) printing offers a versatile approach for fabricating personalized oral dosage forms. This study aimed to develop and optimize losartan potassium tablets produced via SSE 3D printing, focusing on the effects of polymer composition, tablet geometry, drug loading, and superdisintegrant concentration on printability and performance characteristics. Methods: Formulations containing hydroxypropyl methylcellulose (HPMC) 4500 at various concentrations were evaluated for suitability in an ethanol–water (9:1 v/v) solvent system. The optimized formulation (5% w/w HPMC 4500) was used to print tablets with varying shapes, drug loadings (5–15% w/w; approximately 50–150 mg losartan potassium per tablet), and croscarmellose sodium concentrations (0–3% w/w). Printed tablets were characterized for dimensional accuracy, mass uniformity, disintegration time, and drug release behavior. Drug release kinetics were modeled to elucidate the release mechanism. Results: All SSE-printed tablets exhibited excellent dimensional precision (SD < 0.8 mm) and mass uniformity (SD < 0.12 g). Increasing drug loading enhanced the initial release rate, reaching up to 63% in 45 min for 15% loading. The addition of 1% croscarmellose sodium reduced disintegration time to approximately 25 min. Drug release profiles were best described by the Korsmeyer–Peppas model (R² > 0.96), indicating diffusion-controlled release. Conclusions: SSE 3D printing demonstrated robustness and flexibility in producing losartan potassium tablets with consistent quality, tunable release properties, and strong potential for personalized pharmaceutical manufacturing. Full article

Stricter requirements on nutrient removal in wastewater treatment are being imposed by rapid urbanization and tightening water-quality standards. Despite their excellent solid–liquid separation and effective biological treatment, MBRs in conventional operation remain hindered by membrane fouling, limited robustness to influent variability, and elevated energy consumption. In recent years, precise process control and resource-oriented operation have been enabled by the integration of artificial intelligence (AI) with MBRs. Advances in four areas are synthesized in this review: optimization of MBR control architectures, intelligent adaptation to multi-source wastewater, regulation of membrane operating parameters, and enhancement of nitrogen and phosphorus removal. According to reported studies, increases in total nitrogen and total phosphorus removal have been achieved by AI-driven strategies while energy use and operating costs have been reduced; under heterogeneous influent and dynamic operating conditions, stronger generalization and more effective real-time regulation have been demonstrated relative to traditional approaches. For large-scale deployment, key challenges are identified as improvements in model interpretability and applicability, the overcoming of data silos, and the realization of multi-objective collaborative optimization. Addressing these challenges is regarded as central to the realization of robust, scalable, and low-carbon intelligent wastewater treatment. Full article

This study aims to reduce reverse power and improve frequency regulation performance in hydropower systems. To achieve this objective, a refined hydropower plant (HPP) simulation model is developed and coupled with a battery energy storage system (BESS), implementing an Integrated Adaptive Virtual Droop Control (IAVDC) strategy. The refined HPP model achieves a simulation accuracy of 98.5%, representing a 26.2% improvement over conventional simplified models. With the BESS integrated under the IAVDC strategy, reverse power is completely eliminated, and frequency regulation time is substantially shortened. The results demonstrate that the joint HPP-BESS frequency regulation effectively mitigates the adverse impact of water hammer, while the proposed IAVDC strategy enhances system responsiveness and reduces frequency recovery time, thereby improving the quality of primary frequency control. Full article

Anthropogenic ponds have the potential to shape the post-industrial landscape and mitigate the effects of climate change, particularly in urban heat island-threatened areas. However, decisions regarding their inclusion in blue–green infrastructure networks require balancing costs and benefits while considering potential pollution risks. The objectives of this study are: (i) to develop an efficient decision-making framework based on standard aquatic science tools; (ii) to apply this framework to a specific artificial pond in the Upper Silesian Industrial Region, Poland, in order to optimize actions based on resources, advantages, limitations, and informativeness of the data. Eighteen methods, grouped into five categories, including historical document analyses, hydroacoustic and modeling methods, multiparametric water quality measurements, and ecotoxicological tests, were used. Optimization-focused analysis indicated that investigating historical documents should precede further testing, as it enables decision-makers to select the most effective methods to assess the pond’s value for blue–green infrastructure. In this case, the tests based on metal pollution, bathymetry, and biodiversity appeared sufficient. The presented approach offers a straightforward screening method for assessing reservoirs in post-industrial areas. Full article

The cowpea (Vigna unguiculata (L.) Walp.) is well adapted to high temperatures, water deficits and low fertility soils, being widely cultivated in regions less favorable to common beans. Its grains are rich in proteins, vitamins and minerals, representing an important food source and a promising alternative for producing protein at low cost, in a short space of time, given the precocity of its cycle. However, in the state of Minas Gerais there is only a recommendation for one cowpea cultivar, the Poços de Caldas cultivar. In addition to being quite old, it is no longer found in crop production fields. Our objective was to provide local farmers with new cultivar options that exhibit high yield potential, appropriate plant architecture for mechanized cultivation, and superior grain health and quality. The experiments were conducted in Passos city, Brazil, during the second cropping season of the 2021, 2022, and 2023 years. Ten commercial cowpea cultivars were assessed in a randomized block design with five replications, considering morphophysiological traits and phytotechnical yield components. Treatment effects were analyzed using the Scott-Knott test, a statistical method that compares treatments and identifies significant differences among them. The thousand-seed weight and grain index showed a positive correlation with grain yield. The least productive cultivars had the longest pods and, consequently, the highest number of grains per pod. The 2022 and 2023 years provided the most favorable morphophysiological conditions for cowpea cultivation, which significantly enhanced productivity. Among the tested cultivars, BRS Xique-Xique, BRS Novaera, BRS Tumucumaque, and BRS Pajeú were the most suitable for a second cropping season cultivation in the Southwest region of Minas Gerais, while BRS Marataoã, BRS Itaim, and BRS Rouxinol were the least. We emphasize the need for further studies to support the establishment and expansion of cowpea cultivation in this region. Full article

Background/Objective: Chronic constipation is a common gastrointestinal disorder that can be caused by a variety of factors, such as demographic, lifestyle, and medical disorders like hypothyroidism. Its prevalence varies worldwide, affecting quality of life and leading to specialized management strategies. To explore hypothyroidism patients’ knowledge and practice regarding constipation and evaluate the perceived effectiveness of pharmacological and non-pharmacological management approaches. Methods: A descriptive, cross-sectional design was used to collect the data from a private hospital in the eastern region of Saudi Arabia from January to May 2025. A convenient sample of 300 individuals with hypothyroidism completed the Bowel Habits Questionnaire. Results: Most participants knew that hypothyroidism could cause constipation, but they reported that they did not have more knowledge about it. Both pharmacological and non-pharmacological interventions, especially increase water intake, fiber intake, and exercise, were commonly used by the participants, and they perceived these approaches to be effective. There were strong correlations between constipation frequency and age, disease duration, and the use of constipation management methods. A strong association was found between constipation management strategies and treatment effectiveness. Conclusion: Age, disease duration, and constipation management strategies significantly affect constipation in hypothyroidism patients. Drinking plenty of water and eating more fiber are two very effective non-pharmacological strategies. It is recommended that nurses who integrate routine bowel health education and lifestyle guidance into care plans consider the gap in patient knowledge regarding the relationship between hypothyroidism and constipation, to enhance patients’ self-management and contribute to better health outcomes. Full article

Background/Objectives: There is a paucity of research evaluating factors associated with healthy eating behaviors in reproductive-age, non-pregnant women. This study aims to examine the association between sociodemographic, perceived health, and environmental factors with fruit and vegetable (F&V) consumption and adherence to dietary recommendations among women of reproductive age who lived, worked, or attended school in Flint, Michigan, during the Flint water crisis (April 2014–October 2015). Methods: This cross-sectional study used data collected from enrollment surveys completed by participants in the Flint Registry (December 2019–2021). Inclusion criteria were females aged 18–55 having complete data on sociodemographic indicator, general health perception, and dietary assessment data (n = 1239). Pearson chi-square measures of association were used to compare frequencies within groups between sociodemographic characteristics, perceived health and wellbeing (PHW), F&V quality/selection, adherence to recommendations, and total F&V intake. Results: Few participants met recommendations for fruits (22.8%) and vegetables (20.3%). Approximately 50.5% reported having access to a wide variety of F&Vs in their neighborhood and perceived F&V quality to be high. Factors significantly associated with meeting F&V recommendations included education, income, homeownership status, and PHW (p < 0.05). Conclusions: Associations between environmental and socioeconomic factors and daily F&V intake among women of reproductive age offer important considerations for designing interventions to improve this demographic’s nutritional status. Results indicate low adherence to recommended F&V intake but perceived access and quality as high in this population. Targeted interventions addressing key components of socioeconomic barriers, perceived access and quality, and perceived wellbeing are needed to improve F&V intake. Full article

Underwater crack detection in dam structures is of significant importance to ensure structural safety, assess operational conditions, and prevent potential disasters. Traditional crack detection methods face various limitations when applied to underwater environments, particularly in high dam underwater environments where image quality is influenced by factors such as water flow disturbances, light diffraction effects, and low contrast, making it difficult for conventional methods to accurately extract crack features. This study proposes a dual-stage underwater crack detection method based on Cycle-GAN and YOLOv11 called Edge-Enhanced Underwater CrackNet (E²UCN) to overcome the limitations of existing image enhancement methods in retaining crack details and improving detection accuracy. First, underwater concrete crack images were collected using an underwater remotely operated vehicle (ROV), and various complex underwater environments were simulated to construct a test dataset. Then, an improved Cycle-GAN image style transfer method was used to enhance the underwater images. Unlike conventional GAN-based underwater image enhancement methods that focus on global visual quality, our model specifically constrains edge preservation and high-frequency crack textures, providing a novel solution tailored for crack detection tasks. Subsequently, the YOLOv11 model was employed to perform object detection on the enhanced underwater crack images, effectively extracting crack features and achieving high-precision crack detection. The experimental results show that the proposed method significantly outperforms traditional methods in terms of crack detection accuracy, edge clarity, and adaptability to complex backgrounds, effectively improving underwater crack detection accuracy (precision = 0.995, F1 = 0.99762, mAP@0.5 = 0.995, and mAP@0.5:0.95 = 0.736) and providing a feasible technological solution for intelligent inspection of high dam underwater cracks. Full article

Background/Objectives: P. odoratissimum has been traditionally used for its antiseptic and astringent qualities, as well as for treating burns, shingles, ulcers, and wounds. This study sought to explore the chemical profile, analgesic, and anti-inflammatory properties of P. odoratissimum essential oils extracted from different parts. Methods: The essential oils from fresh and dry P. odoratissimum leaves and twigs were extracted using a hydrodistillation method and their chemical profile was elucidated by a GC-MS. In addition, rats were used to test the essential oils’ analgesic effects by submerging the tail in hot water. Paw edema caused by egg albumin was utilized to evaluate the anti-inflammatory impact of the oils; oral dosages of 100, 200 and 400 mg/kg were used in both biological assays. Results: The essential oils were found to contain forty-seven different compounds. Among these, the following compounds were some of the oil’s principal compounds: 1.8–4.9% α-selinene, 0.6–5.2% γ-cadinene, 0.6–9.2% γ-selinene, 3.6–10.0% piperitone, 45.7–46.3% isomenthone, and 41.8–63.9% menthone. Pharmacological investigation of the essential oils revealed that even the highest dosage of 5000 mg/kg showed no acute toxicity-related deaths. The oils significantly enhanced the time of reaction in analgesic evaluation at dosages of 100, 200, and 400 mg/kg. Moreover, the essential oils also substantially suppressed (p < 0.01–0.001) the paw swelling caused by egg albumin at 100, 200, and 400 mg/kg dosages. Conclusions: These results confirmed the great potential of P. odoratissimum essential oils and their application in traditional medicine. Full article

Sustainable fertilization strategies are critical under climate change and the European Green Deal, particularly for Mediterranean cereal systems. Organic fertilizers derived from agro-industrial residues offer promising alternatives to conventional mineral inputs. This study evaluated RecOrgFert, a novel fertilizer composed of sulfur–bentonite and citrus-processing residues, in comparison with NPK (15-15-15) and horse manure across two years in Central Macedonia (Greece) and Apulia (Italy). Using a randomized complete block design, soil chemical and biological properties, plant growth, yield, and grain quality were assessed. RecOrgFert outperformed conventional fertilizers by enhancing soil fertility—raising organic matter 25–27% above control and further increasing it from 2023 to 2024 (up to +75% in Italy, +38% in Greece)—while improving cation exchange capacity, enzymatic activity, and soil water content. Wheat grown with RecOrgFert showed higher protein (up to 15.2%), antioxidant activity (DPPH > 37%, ABTS⁺ > 26%), and phenolic and flavonoid content, with yields comparable to NPK. The unique sulfur and orange-residue composition distinguish RecOrgFert from standard fertilizers, promoting nutrient cycling, microbial activity, and bioactive compound accumulation. It represents a novel, circular, and climate-smart solution aligned with EU sustainability and circular economy objectives. Full article

Background/Objectives: Quality-by-Design (QbD) is a proactive, risk-based, regulatory-endorsed approach to the development and manufacture of medicinal products but is rarely applied to medicines compounded by pharmacists. This study aims to apply the QbD approach to optimise the compounding processes for the aqueous cream and cetomacrogol cream formulations listed in the Australian Pharmaceutical Formulary and Handbook (APF). Methods: The creams were prepared by varying the process conditions, including oil and water phase temperatures, stirring speed, cooling environment temperature, and the temperature at the end of stirring. Thirty-two samples of each cream type were prepared using combinations of processing conditions defined by a three-level factorial design. The viscosity, spreadability and creaming index of samples were assessed as response variables, and results were analysed using Stat-Ease 360© software to determine the optimal processing conditions for the two creams. To validate the predictive model and assess further cream stability, triplicate creams of each formulation were prepared using the optimised conditions and evaluated for dynamic viscosity, spreadability and creaming index. Results: Optimal conditions for aqueous cream involved heating the oil and water phases to 60 °C and 80 °C, respectively, followed by stirring the two phases at 250 rpm at 10 °C until cooling to 50 °C. For cetomacrogol cream, optimal compounding required heating the oil and water phases to 70 °C and 75 °C, respectively, with stirring the two phases at 220 rpm at ambient temperature (25 °C) until cooling to 40 °C. The conditions predicted by the models successfully yielded creams that met all specified targets. Creams compounded under optimal conditions exhibited well-defined oil droplets, with uniform droplet size in aqueous cream and mild size heterogeneity in cetomacrogol cream. Freeze-thaw testing demonstrated that both optimised creams were stable with no observable phase separation. Conclusions: This study demonstrates that a systematic experimental approach to optimising compounding parameters for the APF aqueous cream and cetomacrogol cream resulted in high-quality, stable, and reproducible products. Formulary guidelines, such as the APF, could benefit from adopting QbD approaches to improve the standardisation of compounding instructions in pharmacy practice. Full article

Despite advances in water treatment technologies and monitoring systems, contamination events in drinking water supply systems (DWSSs) still pose a threat to public health. Since timing is crucial in effectively mitigating impacts, the implementation of an early warning system (EWS) represents an optimal solution for securing the entire network. In this paper, we present a novel multi-objective approach based on the NSGA-II Genetic Algorithm (GA) for solving the sensor placement optimization (SPO) problem, aiming at defining the optimal water quality sensor system (WQSS) design. We start from the original formulation of the objective functions most commonly used in the literature, which aim, on the one hand, to reduce the impact and, on the other, to maximize the network coverage; such objective functions are rewritten in order to enable a comprehensive perspective of all potential contamination scenarios, including those that remain undetected by the WQSS. Furthermore, we address the issue of computational complexity, increasing with the size of the water distribution system (WDS), and we show that the proposed methodology is computationally cost-effective. Finally, we apply the methodology to two well-known benchmarking water distribution networks (WDNs), showcasing the capabilities and potential advantages it offers. Full article