Search Results (7,092)

Bentonite-supported TiO₂ (Montmorillonite (MMT)-TiO₂) and Cu₃TiO₅ oxides (MMT-Cu₃TiO₅) nanomaterials were synthesized via a facile and sustainable sol–gel synthesis approach. The XRD results indicate the presence of mixed phases, namely, TiO₂ anatase and a new semiconductor, Cu₃TiO₅, in the material. The specific surface area (S_BET) exhibits a notable increase with the incorporation of TiO₂ and Cu₃TiO₅, rising from 85 m²/g for pure montmorillonite to 245 m²/g for MMT-TiO₂ and 279 m²/g for MMT-Cu₃TiO₅. The lower gap energy of MMT-Cu₃TiO₅ (2.15 eV) in comparison to MMT-TiO₂ (2.7 eV) indicates that MMT-Cu₃TiO₅ is capable of more efficient absorption of visible light with longer wavelengths. The immobilization of TiO₂ and Cu₃TiO₅ on bentonite not only enhances the textural properties of the samples but also augments their visible light absorption capabilities, rendering them potentially more efficacious for adsorption and photocatalytic applications. The photocatalytic efficacy of both MMT-TiO₂ and MMT-Cu₃TiO₅ was evaluated through the monitoring of the degradation of Orange G, an anionic azo dye. The MMT-Cu₃TiO₅ photocatalyst was observed to induce complete degradation (100%) of the Orange G dye in 120 min when tested in an optimized reaction medium with a pH of 3 and a catalyst concentration of 2 g/L. MMT-Cu₃TiO₅ was demonstrated to be an exceptionally effective catalyst for the degradation of Orange G. Following the synthesis of the catalyst, it can be simply washed with the same recovered solution and reused multiple times for the photocatalytic process without the need for any chemical additives. Full article

There are global concerns regarding the transmission of antimicrobial-resistant pathogens from animals to humans. Especially, companion animals are increasingly recognized as a potential source due to their close interactions with people, despite a limited number of reported cases. Although, social demands regarding comprehensive surveillance for antimicrobial resistance (AMR) among companion animals are highlighted, there is a lack of a relevant system in South Korea. In this regard, we conducted preliminary investigation on antimicrobial use (AMU) among small animal clinics, along with veterinary practitioner’s knowledge and attitude regarding this issue in South Korea. We collected data on 684,153 antimicrobial prescription visits for canine and feline patients from 2019 to 2022 at 100 veterinary facilities in South Korea, using electronic medical records. To evaluate antimicrobial use (AMU) and facilitate comparisons across institutions and time periods, we developed the Defined Daily Dose for Animals (DDDA) and the Defined Animal Daily Dosages per 1000 Animal-Days (DAPD). In addition, we conducted an online survey of 362 veterinary practitioners, which included questions on their perceptions, attitudes, and practices regarding antimicrobial prescriptions. Simple frequency analyses were performed to examine temporal trends, regional differences and variations by facility size in AMU, and to summarize survey responses. Descriptive analysis using data from 100 veterinary clinics revealed a rising trend in AMU between 2019 and 2022, with higher usage observed in larger clinics and non-capital regions. DDDA values for dogs were generally higher than for cats. Survey results highlighted that, while veterinarians exhibited high awareness of AMR, prescribing practices were significantly influenced by clinical judgments and owner demands, often deviating from established guidelines. The adoption of an electronic veterinary prescription management system (e-Vet) was proposed to enhance antimicrobial stewardship. However, concerns regarding the system’s efficiency and administrative burden were prominent. To our best knowledge, this study provided DDDA for companion animals for the first time in South Korea. Although the indicator should be improved with more comprehensive data and expert opinion, our study showed that it enables reasonable situation analysis regarding AMU in companion animals. The identified factors that affect veterinarians’ prescription practices can also be used to design an effective strategy for promoting appropriate antimicrobial usage. Full article

Changes in vegetation activities driven by climate change serve as both a sensitive indicator and a key driver of climate impacts, underscoring the need for accurate phenological predictions. Delays in leaf senescence due to rising air temperatures increase the risk of damage from early frost, potentially affecting growth and survival in subsequent years. This study aimed to quantify long-term changes in leaf senescence timing for palmate maple and ginkgo trees, explore their associations with environmental factors, and compare the performance of multiple modeling approaches to identify their strengths and limitations for phenological predictions. Using data from 48 sites across South Korea (1989–2020), this study analyzed trends in the timing of leaf senescence for maple and ginkgo trees and compared the performance of process-based models (CDD_T, CDD_P, TP_T, TP_P), a linear regression model, and machine-learning models (random forest, RF; gradient-boosting decision tree, GBTD). Leaf senescence timing for both species has progressively been delayed, with ginkgo trees showing a faster rate of change (0.20 vs. 0.17 days per year, p < 0.05). Delayed senescence was observed in most regions (81% for maple and 75% for ginkgo), with statistically significant delays (p < 0.05) at half of the sites. Machine-learning models demonstrated the highest training accuracy (RMSE < 4.0 days, r > 0.90). Evaluation with independent datasets revealed that the RF and process-based TP_P (including minimum temperature and photoperiod) using a site-specific approach performed best (RMSE < 5.5 days, r > 0.75). Key environmental factors identified by RF included autumn minimum or mean temperatures and a summer photoperiod. By conducting this comparative assessment, the study provides insights into the applicability of different modeling approaches for phenology research and highlights their implications for vegetation management and climate change adaptation. Full article

As mining operations extend to greater depths, they encounter critical challenges, including increased distances and substantial energy losses. To address the challenges of cold-energy loss in deep mine cooling systems and improve the working environment for miners, a long-distance sleeve-type insulated pipe system was developed. This system aims to mitigate thermal energy loss caused by heat transfer between the pipe and surrounding soil throughout the water transport path from the source to the deep mine in boreholes. A heat transfer analysis model was developed to assess the impact of variables such as transport time, water flow rate, inlet temperature, and insulation materials on the temperature of cold water. The study reveals that the temperature of cold water increases rapidly during transportation before reaching a stable state. Implementing modifications such as increasing the inlet temperature, enhancing the water flow rate, or utilizing materials with lower thermal conductivity can effectively mitigate temperature rises. Additionally, the novel sleeve-type design enhanced the pipe’s pressure-bearing capacity, reduced the required pipe length by 4752 m and minimized energy loss compared to traditional systems. In practical applications, after 45 h, the supply and return water temperatures increased by 0.45 °C and 0.38 °C, respectively, while maintaining cooling energy loss below 12%. This innovative solution improves mine cooling efficiency and provides guidance to reduce cold-energy loss. Full article

High-rise developments frequently exert adverse impacts on the outdoor wind environment, leading to a deterioration in the overall quality of urban surroundings and a reduction in the comfort levels of residents. This study systematically investigates typical high-rise settlements in Xuzhou City and proposes optimization strategies to address wind environment issues through an in-depth analysis of building planning parameters. Utilizing Computational Fluid Dynamics (CFD) simulations, the research identifies key wind-related challenges associated with high-rise buildings in representative settlements. The study comprehensively examines the effects of building height, width, orientation, spacing, and layout on the outdoor wind field, progressing from individual building units to clusters. Based on these findings, optimization strategies are formulated and validated through CFD simulations conducted on a representative high-rise settlement in Xuzhou. The results reveal that typical high-rise buildings in Xuzhou exhibit a height of 54 m, a width of 48 m, and an orientation ranging from 15° to 30° southeast. The front-to-rear building spacing is approximately 1.44 times the building height, with an additional 15 m spacing from mountain walls. Optimal wind conditions are achieved with a center-vacant building layout. The optimization of building form, spacing, and orientation substantially improves the outdoor wind environment by alleviating stagnant wind zones and reducing wind pressure differentials between the building fronts and rears, thereby enhancing the comfort of residents. This study provides a valuable reference for the planning and design of high-rise settlements, contributing to an improvement in urban environmental quality and the enhancement of livability. Full article

Background/Objectives: Endometrial cancer is becoming an even more significant health concern in Poland, with incidence and mortality rates rising each year. Methods: This retrospective study analyzed 1532 patients surgically treated for endometrial cancer at a single center in Poland between 2002 and 2020, examining changes in clinical and histopathological characteristics and their impact on patient outcomes over three time periods: 2003–2008, 2009–2014, and 2015–2020. Results: The study revealed significant shifts in tumor characteristics over time. Early-stage tumors (FIGO IA) increased in prevalence, from 34.1% in 2003–2008 to 49.8% in 2015–2020 (p < 0.001), while advanced-stage cases (FIGO IIIC or higher) decreased from 12.1% to 8.1% (p < 0.001). Similarly, well-differentiated tumors (G1) rose from 46.5% to 62.6% (p < 0.001), while poorly differentiated tumors (G3) decreased slightly from 13.4% to 12.2%. Histologically, the incidence of most typical endometrioid carcinoma peaked at 92.6% in 2009–2014 with 77.4% in 2015–2020 (p < 0.001). The prevalence of serous carcinoma significantly decreased from 16.5% in 2003–2008 to 1.2% in 2009–2014 and 3.2% in 2015–2020. Conclusions:Statistically significant differences in overall survival (OS) across the time periods were found. Three-year OS was 78.0% for patients treated in 2003–2008, compared to 66.2% in 2009–2014 and 69.9% in 2015–2020 (p = 0.024). Similarly, 5-year OS was significantly higher for the 2003–2008 group at 68.8% compared to 50.2% for the 2009–2014 group (p = 0.001). However, progression-free survival (PFS) did not differ significantly at either the 3-year (p = 0.279) or 5-year (p = 0.279) time points. Full article

The rising threat of antimicrobial resistance (AMR) is a global concern in both human and veterinary medicine, with multidrug-resistant (MDR) pathogens such as Staphylococcus aureus and Staphylococcus pseudintermedius presenting significant challenges. Background/Objectives: This study evaluates the effectiveness of amoxicillin against these MDR pathogens in canine isolates using pharmacokinetic and pharmacodynamic parameters. Methods: Minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC), and mutation prevention concentration (MPC) were assessed. Additionally, time-kill assays and post-antibiotic effect (PAE) assessments were performed. Epidemiological cutoff (ECOFF) values were established for both species to guide therapy. Results: S. aureus had a higher resistance rate (35.89%) than S. pseudintermedius (15.27%), with MIC50 values of 0.50 μg/mL and 0.25 μg/mL, respectively. The MPC analysis revealed that S. pseudintermedius required higher antibiotic concentrations (16.11 μg/mL) to prevent mutations compared to S. aureus (2.20 μg/mL). Time-kill assays indicated that higher amoxicillin dosages caused faster bacterial reduction. The PAE analysis showed extended post-treatment bacterial suppression at elevated doses, particularly against S. aureus. Conclusions: Species-specific amoxicillin dosing strategies are necessary due to differing resistance and susceptibility profiles between S. aureus and S. pseudintermedius. High-dose amoxicillin therapy is recommended to achieve optimal therapeutic outcomes for resistant SA, while slightly adjusted dosing can manage S. pseudintermedius infections. These findings provide essential insights for veterinary antimicrobial stewardship, underscoring the need for tailored therapeutic approaches to minimize AMR development while ensuring effective infection control. Full article

Nested, or cascade speed and torque control has been widely used for DC motors over recent decades. Simultaneously, fractional-order control schemes have emerged, offering additional degrees of control. However, adopting fractional-order controllers, particularly in cascade schemes, does not inherently guarantee better performance. Poorly paired fractional exponents for inner and outer PI controllers can worsen the DC motor’s behavior and controllability. Finding appropriate combinations of fractional exponents is therefore crucial to minimize experimental costs and achieve better dynamic response compared to integer-order cascade control. Additionally, mitigating adverse couplings between speed and current loops remains an underexplored area in fractional-order control design. This paper develops a computational model for fractional-order cascade control of DC motor speed (external) and current (internal) loops to derive appropriate combinations of internal and external fractional orders. Key metrics such as overshoot, rise time, and peak current values during speed and torque changes are analyzed, along with coupled variables like speed drop during torque steps and peak torque during speed steps. The proposed maps guide the selection of effective combinations, enabling readers to deduce robust or adaptive designs depending on specific performance needs. The methodology employs Oustaloup’s recursive approximation to model fractional-order elements, with MATLAB–SIMULINK simulations validating the proposed criteria. Full article

Globally, agriculture is facing significant challenges due to climate change, which is seriously affecting grain yields. This research aims to analyze the significant effect of climate change (temperature and rainfall) on cereal production in Benin. The choice of Benin is explained by its strong dependence on agriculture and its vulnerability to climatic variations. This study employed climate and agricultural data from FAO and ASECNA (1990–2020) to evaluate the impacts of climate change on cereal production. SARIMA time-series models were used for forecasting, while the PLS-SEM approach assessed the relationships between climate variables and cereal production. The findings reveal a rise in temperatures and a gradual decline in precipitation. Despite these challenges, the time-series analysis suggests that Beninese farmers are expanding cultivated areas, successfully increasing production levels, and improving yields. Projections to 2050 indicate an increase in areas and production for maize and rice, while sorghum shows a constant trend. However, even with these projections, it is recommended to explore, in more depth, the resilience strategies used by cereal producers to better understand their influence and refine the orientations of future agricultural policies. Full article

Background/Objectives: Limb lengthening and deformity correction techniques, particularly distraction osteogenesis, have significantly evolved in pediatric orthopedics. This study examines the temporal changes of key biochemical markers—vascular endothelial growth factor (VEGF), fibroblast growth factor 1 (FGF-1), and the propeptide of type I collagen (P1NP)—during the limb lengthening process. Methods: Twenty pediatric patients (aged 13–16) underwent distraction osteogenesis using the Circular Hexapod External Fixator. Peripheral blood samples were collected pre-treatment, three weeks after initiating distraction, and one month post-lengthening. Marker levels were measured using ELISA. Results: Serum VEGF concentrations significantly increased during treatment, peaking at T2 (T1 35.91 ± SD 5.54 vs. T2 293.47 ± SD 69.57, p < 0.0001), then declined at T3 (293.47 ± SD 69.57 vs. 40.86 ± SD 6.26, p < 0.0001). FGF-1 showed minor fluctuations initially but significantly increased by T3 (18.14 ± SD 4.57 vs. 41.56 ± SD 17.15, p < 0.01), about 2.3 times higher than baseline. P1NP concentrations exhibited a linear increase, with a significant rise from T2 to T3 (234.06 ± SD 36.57 vs. 280.68 ± SD 35.63, p < 0.05), while the T1 to T2 increase was not statistically significant, indicating ongoing osteoblastic activity and bone formation. Conclusions: This study highlights the dynamic changes in VEGF, FGF-1, and P1NP during distraction osteogenesis, emphasizing their roles as biomarkers of bone regeneration. These findings enhance the understanding of bone healing mechanisms and could inform future therapeutic strategies for pediatric limb lengthening. Further research is warranted to explore their clinical utility. Full article

Background: Rising costs and demands for improved quality of care present complex challenges for existing healthcare systems. The strain on healthcare resources is exacerbated by the increasing complexity of patient conditions. The Diagnosis-Related Group (DRG) system classifies inpatients according to clinical and treatment criteria, controls healthcare expenditures, and ensures the sustainability of procedures. The cost of nursing care is included in the DRG system in the same way as other fixed costs of hospital care, but the amount of nursing care provided for the same DRG can vary widely. This study, which is based on this protocol, will aim to assess the variability of nursing costs within and across DRGs and to measure how much variability in nursing care is explained by DRGs by comparing nursing care delivery in acute care hospitals with the DRG reimbursement system in Italy. It is necessary to develop a specific protocol to ensure systematic and consistent data collection at the national level. Methods: A multicenter retrospective cross-sectional study will be conducted. A random sample of five public Italian hospitals will be enrolled. Patients included in medical or surgical DRGs, hospitalized and discharged in 2022 will be included. Data will be collected retrospectively from two sources: hospital discharge records and nursing records. Inferential statistics will be used to assess the variability of nursing time and costs across hospitals and DRGs. Nursing costs will be determined by several factors, including time spent on nursing activities and the hourly wages of nursing staff. The time needed to complete each activity will be estimated by a convenience sample of nurses from the hospitals included in this study. The annual salary of nurses will be used to calculate the nursing cost per minute, multipled by the amount of time spent per each nursing activity. The cost per patient per day of hospitalization will be calculated. Conclusions: The results of this study will shed light on the variation in nursing care across different DRGs. This understanding will guide recommendations for optimizing healthcare resource allocation and enhancing the efficiency of the DRG system in Italy. Full article

A composite diaphragm wall anchor foundation (CDWAF) is a novel type of anchor foundation, but research on its bearing performance remains limited. In this study, the horizontal bearing characteristics of a CDWAF and the interaction mechanism between the foundation and surrounding soil using finite element analysis were investigated. The foundation’s displacement behavior under external loads, the distribution of resistance from various soil components, and the failure mechanisms of the foundation were also studied. The results reveal that under external loads, the CDWAF experiences both rigid-body translation and rotational displacement, with the rotation center shifting dynamically to the upper right with the increase in load. At the failure state, a passive failure wedge forms on the outer side of the front wall of the foundation due to soil compression, while an active failure wedge develops on the outer side of the back wall, and both the displacement and rotation of the foundation increase nonlinearly with the applied load. As the load increases, the passive earth pressure on the front wall’s outer side rises, while the active earth pressure on the back wall’s outer side decreases. The distribution of soil resistance and side friction resistance of the CDWAF with depth is influenced by the critical depth, which increases with the load. The soil resistance at the bottom of the foundation shows an overall increase in the direction of the applied load, peaking at the bottom of the front wall. The plastic zone in the surrounding soil progressively develops, starting at the base and the outer sides of the front and back walls. Notably, the embedded end of the CDWAF significantly reduces the plastic failure at the bottom of the foundation. In comparison with traditional gravity caissons, the embedded end and internal compartments of the CDWAF effectively enhance its horizontal bearing capacity by 30% and 6%, respectively. At the same time, the mechanism of soil resistance is changed with the foundation type. The load-sharing ability of the cabinet foundation reaches 23% at the bottom and 45% outside the front and rear walls, respectively, while the load-sharing ratio of the composite diaphragm wall anchorage foundation is transferred from the base to the outer sides of the front and back walls, which is 5% and 58%, respectively. These findings contribute valuable insights to the design and application of underground diaphragm wall foundations in anchor foundation engineering. Full article

Background and Objectives: High fructose intake is associated with non-alcoholic fatty liver disease (NAFLD), a chronic liver disease that is on the rise worldwide. New alternatives for treatment, such as bioactive phytochemicals, are needed. The aim of this study was to investigate the beneficial role of resveratrol in treating non-alcoholic steatohepatitis (NASH). Materials and Methods: Sixty male albino rats were allocated to three groups: group I, the normal control group; group II, the fructose-enriched diet group (FED), which was fed a 70% fructose diet for six weeks to induce NASH; and group III, the resveratrol–FED group (RES + FED), which was given the same FED diet plus an oral dose of 70 mg/kg resveratrol (RES) every day for an additional six weeks. We performed histological evaluations and assessed blood lipids and liver enzymes to study resveratrol’s impact on NASH. Quantitative real-time PCR was used to assess the mRNA expression of nuclear factor E2-related factor 2 (Nrf2) in the liver samples. ELISA was used to measure Beclin 1, AMPK, IL-6, and the DNA-binding activity of Nrf2. Oxidative stress indicators, including GSH, SOD, and MDA, were evaluated spectrophotometrically. Results: Resveratrol effectively alleviated the biochemical and histopathological abnormalities associated with NASH, improving autophagy by raising Beclin 1 levels while reducing inflammation by decreasing IL-6 levels. Furthermore, resveratrol restored the liver architecture and the oxidative balance, as evidenced by the decreased MDA levels and improved antioxidant status via elevated GSH and SOD activities, as well as the activation of the AMPK/Nrf2 signaling axis. Conclusions: This study specifically examines resveratrol’s therapeutic effects in a high-fructose diet-induced NASH model, focusing on the AMPK/Nrf2 signaling pathway to address oxidative stress and autophagy, providing novel insights into its molecular mechanism of action. Resveratrol reduces NASH by boosting autophagy and activating the AMPK/Nrf2 pathway. These findings underscore the potential of resveratrol as a promising therapeutic agent that can support treatment alongside conventional medications in the management of non-alcoholic steatohepatitis (NASH). Full article

Background: The optimal application of medical nutrition therapy (MNT) in treating gestational diabetes remains uncertain. MNT involves individualised nutrition assessment and counselling, which is labour-intensive and is not the sole type of intervention offered by clinical dietitians. Objective: To determine whether pregnancy outcomes differed for individuals with gestational diabetes who were offered MNT on a risk-prioritised (RP) versus universal basis. Methods: Observational data from two cohorts of individuals who were offered MNT only if they met the high-risk criteria following general group-based dietary education (RP1, n = 369; RP2, n = 446) were compared with a baseline cohort who were universally offered at least one MNT consultation (UM, n = 649). The RP1 cohort were seen during community-wide COVID-19 restrictions in 2021, while RP2 were seen after restrictions had lifted in 2022. Furthermore, the RP approach primarily utilised telemedicine, while the UM approach was delivered in person. Results: MNT consultations halved under the RP approach (59 vs. 119 sessions per 100 diagnoses for RP2 vs. UM) and saved more than 20 h of dietitian time per 100 diagnoses (95 vs. 73 h for RP2 vs. UM). No significant increases were observed (p < 0.05) for any pregnancy outcomes in the RP cohorts compared with the UM cohort, including usage of diabetes medications, maternal weight gain below and above target, early deliveries, induced deliveries, emergency caesarean sections, large- and small-for-gestational-age (SGA) infants, infant macrosomia, neonatal hypoglycaemia and neonatal intensive care admissions. The use of both basal insulin (27% vs. 33%, OR 0.62, 95% CI 0.46 to 0.84) and metformin (6% vs. 10%, OR 0.52, 95% CI 0.31 to 0.88) was lower in the RP1 cohort during pandemic restrictions compared with the UM cohort; however, these differences were not retained in the RP2 cohort. Additionally, there were fewer SGA infants under the RP approach, particularly for the RP2 cohort (6% vs. 11% for RP2 vs. UM, OR 0.55, 95% CI 0.34 to 0.89). Conclusions: Risk-prioritised MNT was a more efficient dietetic service approach to gestational diabetes than the universal MNT model, with comparable pregnancy outcomes. Similar approaches may represent a strategic way to address sustainable health service planning amidst the rising global prevalence of this condition. However, further research is needed to investigate consumer perspectives, wider service impacts and post-partum maternal and child health outcomes. Full article

The rise in antimicrobial resistance (AMR) in Mycoplasma bovis underscores the urgent need for alternative treatments. This study evaluated the minimal inhibitory concentrations (MICs) of four metal ions (cobalt, copper, silver, and zinc) and colloidal silver against 15 clinical M. bovis isolates, alongside conventional antimicrobials (florfenicol, tetracycline, tulathromycin, and tylosin). Colloidal silver demonstrated the most effective antimicrobial activity, inhibiting 81.25% of isolates at 1.5 mg/L, while silver inhibited 93.7% of isolates at concentrations above 1.5 mg/L. Copper exhibited notable efficacy, inhibiting 37.5% of isolates at 1.5 mg/L, with a small proportion responding at 0.1 mg/L. Cobalt and zinc displayed variable activity, with MIC values ranging from 0.7 to 12.5 mg/L. In contrast, conventional antimicrobials showed limited effectiveness: tetracycline inhibited 31.25% of isolates at ≥16 mg/L, tylosin inhibited 25% at 16 mg/L, and tulathromycin MICs ranged from 0.5 to 8 mg/L. Time–kill assays revealed a reduction in M. bovis viability after eight hours of exposure to silver and colloidal silver, though higher concentrations (4×–8× MIC) were required for complete eradication. These findings highlight the significant potential of colloidal silver and copper as alternatives for treating M. bovis infections and combating AMR. Further research is essential to explore their standalone and synergistic applications for therapeutic use. Full article