Search Results (21,117)

The effluents from the tanning industry pose challenges due to the complex and difficult-to-manage wastewater generation process. Usually, the main issue in tannery wastewater is the high levels of chemical oxygen demand (COD), chlorides (Cl), and chromium (Cr), which have a negative impact on human health and the environment. Since the conventional biological treatment methods are not effective for treating tannery wastewater, the main aim of this study was to assess the performance of the electrocoagulation process (EC) in treating tannery wastewater by copper electrodes. The study was conducted through an investigation of stirring speeds (low (60 rpm), medium (780 rpm), high (1500 rpm)), current densities (4, 8, 12, and 16 mA/cm²), and reactor volume capacities (0.5, 1, 1.5 L) over an examination period of 60 min. The EC process has proven its high efficiency in removing pollutants. The results showed the best removal efficiencies, where the removal rates of COD, Cl, and Cr reached 92.3%, 96.5%, and more than 99%, respectively, at the following optimum parameters: stirring speed of 60 rpm, current density of 4 mA/cm², and reactor volume of 1 L. Corrosion of the Cu electrodes was observed via scanning electron microscope (SEM) imagery, and the generated sludge was analyzed via Fourier transform infrared (FTIR) spectroscopy. Full article

Lucuma and goldenberry are rich in bioactive compounds, and swell-drying (SD) can help preserve these properties. This study examined how SD impacts the nutritional quality of lucuma and goldenberry. The SD process involved the following: (1) initial pre-drying, with Interval Highly Active Drying (IHAD) for lucuma and Continuous Convective Airflow Drying (CCAD) for goldenberry, (2) a DIC treatment under an experimental design with 13 treatments, and (3) a final CCAD step. The parameters studied for DIC were steam pressure (0.1 to 0.5 MPa) and treatment time (5 to 55 s). Bromatological analysis and antioxidant activity were the response variables. Under accurate SD conditions, both fruits maintained their nutritional quality and increased their antioxidant activity compared to controls. Carbohydrates, proteins, lipids, fiber, and ash average contents of lucuma were 88.73%, 7.28%, 1.18%, 1.88%, and 0.92%, respectively. The DIC treatment of 0.27 MPa for 22 s increased the percentage of ABTS and the DPPH inhibition of lucuma by 1.2 and 1.5 times, respectively. For goldenberry, carbohydrates, proteins, lipids, fiber, and ash average contents were 71.87%, 7.18% 7.01%, 6.60%, and 6.77%, respectively. DIC treatment of goldenberry at 0.5 MPa for 30 s increased ABTS % inhibition by 1.5 times, and DIC at 0.10 MPa for 30 s increased DPPH inhibition by 4.9%. Full article

Micro-arc oxidation (MAO) technology demonstrates remarkable advantages in fabricating ceramic coatings on lightweight alloys. For aluminum alloys, MAO rapidly forms dense, pore-free ceramic layers within minutes, significantly enhancing corrosion and wear resistance at low processing costs. In magnesium alloys, optimized electrolyte compositions and process parameters enable composite coatings with a combination of high hardness and self-lubrication properties, while post-treatments like laser melting or corrosion inhibitors extend salt spray corrosion resistance. Titanium alloys benefit from MAO coatings with exceptional interfacial bonding strength and mechanical performance, making them ideal for biomedical implants and aerospace components. Notably, dense ceramic oxide films grown in situ via MAO on high-entropy alloys (HEAs) triple surface hardness and enhance wear/corrosion resistance. However, MAO applications on steel require pretreatments like aluminizing, thermal spraying, or ion plating. Current challenges include coating uniformity control, efficiency for complex geometries, and long-term stability. Future research focuses on multifunctional coatings (self-healing, antibacterial) and eco-friendly electrolyte systems to expand engineering applications. Full article

Objective: This study aimed to retrospectively evaluate the anatomical structure, dimensions, and variations in the nasopalatine canal using cone beam computed tomography (CBCT) in patients undergoing implant treatment in the maxillary anterior region. The goal was to identify potential risks and complications that may arise during surgical procedures. Additionally, canal shape, number, and its relationship with gender and nasal septa were assessed as secondary parameters. Methods: This retrospective study included CBCT scans of 185 patients who applied for implant treatment in the anterior maxilla between January 2021 and December 2023. Patients with edentulous anterior maxillae and no pathological lesions in the implant region were included. CBCT images were analyzed in sagittal, axial, and coronal planes using standardized measurement protocols. The shape, number, dimensions, and angulation of the nasopalatine canal were evaluated by two blind observers with high inter-rater agreement. Morphological classifications and canal–implant relationships were recorded as primary and secondary outcome parameters. Results: Among the 185 CBCT scans analyzed, the nasopalatine canal was most frequently observed as a single structure (87.6%), typically located in the central incisor region, with a cylindrical morphology in the sagittal plane (44.9%) and a single shape in the coronal plane (52.4%). While no significant differences were found in morphometric parameters by age or sex, accessory canal locations differed significantly between sexes (p = 0.040). Conclusions: The anatomical characteristics and morphometric measurements of the nasopalatine canal exhibit considerable variability, underscoring the importance of individualized CBCT assessment during implant planning in the anterior maxilla. Recognizing accessory canal positions, particularly their sex-related differences, is critical for minimizing surgical complications and optimizing outcomes. Full article

Rapid sand filtration is a critical step in the water treatment process, as its effectiveness directly impacts the supply of safe drinking water. However, optimising filtration processes in water treatment plants (WTPs) presents a significant challenge due to the varying operational parameters and conditions. This study applies explainable machine learning to enhance insights into predicting direct filtration operations at the Ålesund WTP in Norway. Three baseline models (Multiple Linear Regression, Support Vector Regression, and K-Nearest Neighbour (KNN)) and three ensemble models (Random Forest (RF), Extra Trees (ET), and XGBoost) were optimised using the GridSearchCV algorithm and implemented on seven filter units to predict their filtered water turbidity. The results indicate that ML models can reliably predict filtered water turbidity in WTPs, with Extra Trees models achieving the highest predictive performance (R² = 0.92). ET, RF, and KNN ranked as the three top-performing models using Alternative Technique for Order of Preference by Similarity to Ideal Solution (A-TOPSIS) ranking for the suite of algorithms used. The feature importance analysis ranked the filter runtime, flow rate, and bed level. SHAP interpretation of the best model provided actionable insights, revealing how operational adjustments during the ripening stage can help mitigate filter breakthroughs. These findings offer valuable guidance for plant operators and highlight the benefits of explainable machine learning in water quality management. Full article

This study evaluated the effects of wine-soaking on cow’s milk pressed cheese properties and developed a standardized cheesemaking procedure. Cheese was soaked in Cabernet Sauvignon and Alicante Bouschet red wines for two soaking periods of four days after the brining process. The physicochemical, microbiological, and volatile composition were evaluated, along with consumer sensory evaluation. After 60 days of ripening, wine-soaked cheeses had statistically lower salt and moisture levels, with higher protein and fat content than the unsoaked cheeses. Alicante Bouschet cheeses have a darker purple-red color than Cabernet Sauvignon. The microbiological analysis found no significant differences across treatments and samplings. The most representative volatile compounds in wine-soaked cheeses were esters and ketones. Principal Components Analysis on the volatile compounds showed a clear separation between the two wine-soaked cheeses and the control cheese. For example, Cabernet-soaked cheese had higher levels of phenylethyl alcohol and 2-phenylethyl acetate (floral aromas), while Alicante-soaked cheese was distinguished by nonanal (fruity and grassy aroma). Sensory results showed preferences for the overall liking, flavor, and rind color for the wine-soaked cheeses over the control. Consequently, a standardized recipe for wine-soaked pressed cheese was developed, along with specific parameters for the soaking process to ensure a well-received product. Full article

This study investigates the capacity of green and brown algae to sustainably remove oxyanions from contaminated waters, highlighting their cost-effectiveness. Often considered biomass waste and contributors to organic contamination, these algae can be used as effective biosorbents, aligning with circular economy principles and sustainable waste management. Various pre-treatments were tested to enhance adsorption capacity, with mixed results regarding their effectiveness. The focus then shifted to the use of Cladophora sericea algae for the uptake and removal of selenium species, specifically selenite (Se(IV)) and selenate (Se(VI)). The effects of different operational parameters on oxyanion uptake by algae were studied in batch mode. The assessments were conducted on a single-component and a multi-component synthetic matrix. The results indicate that pH significantly impacts biosorption, with equilibrium achieved in 90 min. Both pseudo-first-order and pseudo-second-order models provided a good fit to the experimental data. The algae’s retention capacity for selenium remained largely unaffected by the presence of other anions, a key advantage for application in complex real effluent matrices. Kinetic studies performed under different values of initial pollutant concentration and biosorbent mass indicate a biosorbed amount at an equilibrium of 570 µg g⁻¹. Full article

Background/Objectives: Sweet’s syndrome (SS), also known as acute febrile neutrophilic dermatosis, is a rare inflammatory skin disorder that may also present with extracutaneous manifestations. Liver involvement is thought to result from sterile neutrophilic infiltration, mirroring the skin pathology and highlighting the syndrome’s systemic inflammatory nature. Timely recognition, exclusion of infectious or autoimmune etiologies, and prompt corticosteroid therapy are critical for favorable outcomes. Methods: Herein, we present the case of a 73-year-old man with hyperuricemia who developed both cutaneous and systemic manifestations of SS seven days after initiating allopurinol treatment. His symptoms included fever, conjunctivitis in the right eye, and painful, non-pruritic erythematous plaques, some with pustules, on the lower limbs, palms, and face. Results: Initial laboratory investigations revealed neutrophilic leukocytosis, elevated inflammatory markers, and renal and hepatic dysfunction. Empirical treatment with antibiotics and antivirals failed to improve his condition. The patient discontinued allopurinol and initiated a high-dose corticosteroid regimen, leading to rapid resolution of fever and improvement in skin lesions. Laboratory parameters gradually normalized, except for persistent high liver enzymes. A comprehensive diagnostic workup ruled out infectious, autoimmune, and malignant causes. Imaging studies, including CT, MRI, and MRCP, showed no structural liver abnormalities. Skin biopsy findings were consistent with SS, demonstrating dense neutrophilic infiltrates in the reticular dermis and papillary dermal edema. After his discharge, he was followed up by the Hepatology unit. The patients’ liver enzyme levels normalized within three months with no recurrence or late complications one year later. Conclusions: In the context of drug-induced SS, persistent hepatic abnormalities, although rare, may occur in patients without underlying liver disease. Full article

Background/Objectives: Cancer survivors can develop heart conditions such as aortic valve disease because of age and other shared risk factors. If this valve condition becomes symptomatic, the prognosis is poor if the valve is not replaced. Surgical aortic valve replacement (SAVR) is one mode of treatment. Methods: Of 2500 consecutive patients who underwent SAVR with a biological valve, 388 patients were cancer survivors. They were compared for preoperative characteristics, operative parameters, postoperative adverse events, need for resources, and long-term survival. For the latter, the six most common tumors (prostate, breast, colorectal, bladder, pulmonary, and hematologic) and the effect of the interval between cancer treatment and cardiac surgery were scrutinized. Results: Cancer increased significantly over time. Pulmonary and kidney disease differed between the groups, but cardiac comorbid conditions did not. Operative parameters, early adverse events, and need for resources did not differ. Median survival time was significantly reduced in cancer survivors: 104 (97–112) versus 119 (116–122) months, and this was driven by an interval of less than 5 years and prior lung cancer. Prior cancer was the least important of ten predictors for long-term mortality. Conclusions: The outcome of cancer survivors after SAVR is acceptable. For patients with pulmonary cancer, the outcome is poor. Full article

Background/Objectives: Early-onset scoliosis (EOS) is often treated with growing rods, which use distraction-based correction to control deformity while allowing spinal growth. Although effective in the coronal plane, this technique may adversely affect sagittal alignment, particularly thoracic kyphosis and lumbar lordosis. Whether final fusion surgery is necessary after the growing rod treatment remains controversial. This study compared radiographic outcomes, including coronal and sagittal parameters, between patients with and without final fusion to clarify the value of final fusion. Methods: We retrospectively reviewed 19 EOS patients treated with growing rods between 2015 and 2019. Patients undergoing posterior spinal fusion after lengthening were classified as the final fusion group (n = 9), while those with more than 12 months of follow-up without fusion formed the graduated group (n = 10). Demographics, surgical variables, and radiographic parameters (Cobb angle, correction rate, coronal balance, clavicular angle, thoracic kyphosis, lumbar lordosis, sagittal vertical axis) were compared. Results: Baseline characteristics were similar. At final follow-up, the final fusion group had significantly better outcomes in Cobb angle (24.2° vs. 34.9°, p = 0.002), correction rate (66.6% vs. 40.1%, p = 0.001), and coronal balance (−1.5 mm vs. 19.7 mm, p = 0.004). Sagittal alignment did not differ significantly, but preservation of thoracic kyphosis tended to favor the fusion group. Conclusions: Final fusion surgery after growing rod treatment achieved superior coronal correction and balance compared with observation alone. Although sagittal alignment was not statistically different, a trend toward better thoracic kyphosis preservation was observed. Final fusion should be considered for larger residual curves or coronal imbalance, while observation may suffice in well-corrected cases. Full article

The soybean Glycine max (L.) Merrill is a key crop in Brazil’s agricultural sector and is essential for both domestic food security and international trade. However, water stress severely impacts its productivity. In this study, we examined the physiological and biochemical responses of soybean plants to various water regimes via hyperspectral reflectance (350–2500 nm) and machine learning (ML) models. The plants were subjected to eleven distinct water regimes, ranging from 100% to 0% field capacity, over 14 days. Seventeen key physiological parameters, including chlorophyll, carotenoids, flavonoids, proline, stress markers and water content, and hyperspectral data were measured to capture changes induced by water deficit. Principal component analysis (PCA) revealed significant spectral differences between the water treatments, with the first two principal components explaining 88% of the variance. Hyperspectral indices and reflectance patterns in the visible (VIS), near-infrared (NIR), and shortwave-infrared (SWIR) regions are linked to specific stress markers, such as pigment degradation and osmotic adjustment. Machine learning classifiers, including random forest and gradient boosting, achieved over 95% accuracy in predicting drought-induced stress. Notably, a minimal set of 12 spectral bands (including red-edge and SWIR features) was used to predict both stress levels and biochemical changes with comparable accuracy to traditional laboratory assays. These findings demonstrate that spectroscopy by hyperspectral sensors, when combined with ML techniques, provides a nondestructive, field-deployable solution for early drought detection and precision irrigation in soybean cultivation. Full article

Clarifying the differential effects of temperature gradient and temperature change rate on the evolution of rock fractures and damage mechanism under thermal shock is of great significance for the development and utilization of deep geothermal resources. In this study, granite samples at different temperatures (20 °C, 150 °C, 300 °C, 450 °C, 600 °C, and 750 °C) were subjected to rapid cooling treatment with liquid nitrogen. After the thermal treatment, a series of tests were conducted on the granite, including wave velocity test, uniaxial compression experiment, computed tomography scanning, and scanning electron microscopy test, to explore the influence of thermal shock on the physical and mechanical parameters as well as the meso-structural damage of granite. The results show that with the increase in heat treatment temperature, the P-wave velocity, compressive strength, and elastic modulus of granite gradually decrease, while the peak strain gradually increases. Additionally, the failure mode of granite gradually transitions from brittle failure to ductile failure. Through CT scanning experiments, the spatial distribution characteristics of the pore–fracture structure of granite under the influence of different temperature gradients and temperature change rates were obtained, which can directly reflect the damage degree of the rock structure. When the heat treatment temperature is 450 °C or lower, the number of thermally induced cracks in the scanned sections of granite is relatively small, and the connectivity of the cracks is poor. When the temperature exceeds 450 °C, the micro-cracks inside the granite develop and expand rapidly, and there is a gradual tendency to form a fracture network, resulting in a more significant effect of fracture initiation and permeability enhancement of the rock. The research results are of great significance for the development and utilization of hot dry rock and the evaluation of thermal reservoir connectivity and can provide useful references for rock engineering involving high-temperature thermal fracturing. Full article

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 growing global demand for lithium, driven by its pivotal role in battery production, highlights the need for alternative technologies to recover this metal from low-grade and anthropogenic raw materials. This study investigates lithium extraction from aluminosilicate tailings of rare-metal production by sulfate roasting with concentrated sulfuric acid, followed by aqueous and hydrochloric acid leaching. Mineralogical analysis confirmed lithium mainly in muscovite and biotite (isomorphic substitutions) and partly as spodumene within the aluminosilicate matrix. The optimal parameters of thermochemical treatment were determined as 300 °C for 1 h at a liquid-to-solid ratio of 1:6. Subsequent aqueous leaching (90 °C, 1 h, L/S = 6:1) achieved a lithium recovery of 82.3%, while HCl proved less effective. Using response surface methodology (RSM) and a central composite design (CCD), a regression model was developed predicting up to 93.4% lithium extraction at 90 °C, a liquid-to-solid ratio of 10:1, and a leaching duration of 75 min. The calculated values showed good agreement with experimental data obtained at 90 °C, L/S = 10:1, and 30 min leaching, yielding 91.92% lithium recovery. These results confirm the efficiency of the proposed thermochemical approach and provide a scientific foundation for its further development and industrial scale-up. Full article

Oenothera biennis L. is a biennial species native to North America and introduced to Europe in the 17th–18th centuries, used in traditional medicine or as a dietary supplement in various products, as well as in cosmetics and the pharmaceutical industry. In recent decades, oil extracted from seeds has been increasingly used for the treatment of various conditions. In this article, we highlight the polyphenolic content of 2 types of extracts from O. biennis species, collected from the wild flora of Romania, from two regions with different altitudes and pedoclimatic conditions (plains and mountains), namely: OHM—hydroalcoholic extract, Macea sample; OHVD—hydroalcoholic extract, Vatra Dornei; OAM—aqueous extract, Macea sample; OAVD—aqueous extract, Vatra Dornei sample. The LC/MS analysis of the whole plant extracts revealed 5 to 14 polyphenols, depending on the sample location and type of extract, out of which 7 flavonoids are newly reported for this species. Climatic parameters were mapped using QGIS. Higher qualitative and quantitative values of polyphenols were observed in the hydroalcoholic extract obtained from individuals collected from the plain area. Full article