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Analytical solutions of the time-fractional symmetric regularized long wave equation using the $$\phi ^{6}$$ model expansion method
Analysis of the impact of rock joint cracks on blastability of burnt rock in Xinjiang open pit coal mines
Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients
Abstract This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital mortality, using machine learning models and SHapley Additive exPlanations (SHAP) analysis. Data were collected from a national Stroke Registry from January 2014 to July 2022. Various predictive factors were considered, such as stroke severity at presentation, patient demographics, laboratory results, admission location, and other clinical features. Random forest, logistic regression, XGboost, support vector machines, and decision trees were trained and evaluated. SHAP analysis was conducted to identify key predictors. The RF model demonstrated superior performance in predicting prognosis, while LR was more effective in predicting in-hospital mortality. The National Institute of Health Stroke Score (NIHSS) and admission location were key predictors. Despite its limitations, this research underscores the importance of advancing stroke registries and emphasizes the necessity for comprehensive external validation of predictive models. Furthermore, it demonstrates the importance of initial stroke severity in influencing patient outcomes and highlights the significance of admission to stroke units in reducing poor outcomes. This may help shape interventions to enhance stroke center capacities and influence strategic policies. This study contributes towards developing more precise predictive models for hemorrhagic stroke outcomes, potentially impacting clinical practice and optimizing resource allocation significantly.
Integrating decision tools for efficient operations management through innovative approaches
Enhanced gyrocompass performance with optimized static scheme in the presence of platform vibrations
Early life factors of precocious puberty based on Korean nationwide data
Inhibition effects of Eucalyptus globules Labill. essential oil against tyrosinase
Improving PSNR and computational efficiency in orthogonal ghost imaging
Accurate multi-category student performance forecasting at early stages of online education using neural networks
Relationship of serum phosphorus level with acute cerebrovascular disease
Azolla pinnata mitigates pendimethalin induced immunotoxicity, oxidative stress and histopathological changes in Oreochromis niloticus
Abstract Aquatic animals face multiple threats, including pesticides, heavy metals, and other environmental pollutants, risking their health and survival. Limited bioremediation studies have been conducted on the detrimental impacts of herbicides on fish. This study focused on the impact of the herbicide pendimethalin (PD) on Oreochromis niloticus and assessed the protective role of Azolla pinnata (AZ), an aquatic fern known for its phytoremediation and antioxidant properties. O. niloticus (n = 270, 34.17 ± 2.41 g) were divided into six groups in triplicate: the control (CTR), AZ-supplemented (125 g/kg diet), PD-exposed (0.5 and 1 mg PD/L), and PD-exposed with AZ supplementation (0.5 and 1 mg PD/L + AZ) groups for 28 days. PD exposure caused substantial reductions in growth performance and hematological indices (hemoglobin concentration (Hb) and red blood cell (RBC) count), with significant increases in white blood cell (WBC) count. Oxidative damage from PD exposure was evidenced by decreased superoxide dismutase (SOD) activity and acetylcholinesterase (AChE) levels, along with increased malondialdehyde (MDA) levels in hepatic and gill tissues. PD-exposed fish also presented reduced phagocytic activity (PA) and index (PI), along with decreased lysozyme activity and resistance to Pseudomonas aeruginosa infection. Additionally, hepatic and renal damage markers (AST, ALT, ALP, urea, and creatinine) and stress indicators (cortisol and glucose) were notably elevated. Severe tissue and cellular damage further highlight PD-induced damage. AZ supplementation had a protective effect, almost restoring normal growth performance, hematological parameters, and antioxidant defenses. AZ improved SOD and AChE activity and reduced MDA levels, mitigating oxidative damage. AZ also improved immune responses, restoring PA, PI, and lysozyme activity and bacterial resistance. Furthermore, AZ alleviated hepatic and renal damage, normalized stress markers, and mitigated tissue and morphological abnormalities, preserving tissue integrity. This study underscores the potential of dietary AZ supplementation (12.5%) as a growth promoter, antioxidant, and immunostimulant in aquaculture, effectively enhancing resistance to environmental toxicants and bacterial infections.
Modelling and evaluating wood supply chain resilience factors based on system dynamics
Impact of microbial biotransformation on Zygophyllum decumbens delile through comparative metabolic insights and evaluation of antihyperglycemic and antimicrobial activities
Abstract Zygophyllum is known to be used traditionally in the management of several medical conditions, including diabetes, infections, and hypertension. This study aims to monitor the effect of microbial biotransformation on both antihyperglycemic and antimicrobial activities of Zygophyllum decumbens Delile using Aspergillus niger. The metabolic profile before and after biotransformation of the ethyl acetate extract was compared using HPLC-ESI-TOF-MS/MS. Pancreatic lipase, α-amylase, and α-glucosidase in vitro inhibition assays and agar diffusion method were used to evaluate the antihyperglycemic and antimicrobial activities, respectively. Eighty-six metabolites, mainly flavonoids and phenolic acids, with a few miscellaneous metabolites, were tentatively identified in both tested extracts. A 36% potentiation in antihyperglycemic activity was observed following microbial biotransformation. Regarding antimicrobial activity, the minimum inhibitory concentration (MIC) against both E. coli and P. aeruginosa decreased from 0.62 to 0.31 mg/ml, representing a nearly 50% reduction. It was noticed that microbial biotransformation altered 27 of the identified metabolites, which may contribute to the enhanced biological activities detected. The study depicts the first report of metabolic profiles and biological differences of Z. decumbens before and after biotransformation. It also validates the traditional use of Z. decumbens for hyperglycemia and its potential as a natural antimicrobial source.
Resilience of pregnant Polish women during the war between Ukraine and Russia
Occurrence and human exposure assessment of PFAS in river and groundwater around a closed fluorochemical plant in China
Abstract Studies have demonstrated that point source emissions constitute the main direct source of PFASs in water. However, if production/usage and emission from a specific point are stopped, does the point source still present a threat to surrounding waters? In this study, the occurrence and potential human exposure to 17 PFASs in the surrounding ambient river and ground/drinking water within a 13 km around the facility were assessed. Of the 17 PFASs analyzed, 11 were frequently detected in river and groundwater samples, with perfluorobutane sulfonate (PFBS) (36.8−11462.9 ng/L), perfluorobutyric acid (PFBA) (below the detection limit (BDL)−4789.8 ng/L) and perfluorohexane sulfonate (PFHxS) (3.3−3549.0 ng/L) exhibiting the highest concentrations. Prevalence of short-chain PFASs was observed in both river and groundwater. The spatial distribution pattern showed that locations near the facility exhibited higher PFASs concentrations. The seasonal distribution pattern indicated that the PFASs concentration in river water during the wet season was higher than that during the dry season. However, the seasonal distribution in groundwater was unexpectedly the opposite to that in river water. Nevertheless, the major health risk of PFASs is primarily attributed to the presence of perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) with maximum hazard quotients of 6.9 × 10 2 and 1.0 × 10 3 and 2.4 and 3.6 for adults and toddlers, respectively. Thus, the potential threat of the closed fluorochemical manufacturing plant to the surrounding waters cannot be ignored.
Failure modes affected by stress concentration in gneiss: laboratory triaxial experiment and numerical reproduction
Spatio-temporal modality and influencing factors of agribusiness survival of underdeveloped areas after the effort of reducing poverty at large scale
Innovative role of Benzalkonium chloride as a quaternary ammonium salt for natural gas hydrate formation and storage
Abstract This study assessed the kinetics of natural gas hydrate (NGH) formation using N-benzyl-N, N-dimethyldodecan-1-aminium chloride (Benzalkonium chloride, Bzc) at concentrations ranging from 500 to 3000 ppm. It investigated its effects on the hydrate formation. These experiments were compared with pure water and sodium dodecyl sulfate (SDS) solutions at 298.15 K and 6.5 MPa. The findings indicate that the Bzc significantly enhances the formation kinetics and gas consumption of NGH. The 2500 ppm of Bzc notably reduced the induction time for hydrate nucleation up to 9.9 min. In contrast, it was 41.3 min with the SDS. The hydrate formation began at the gas/liquid interface and spread upward into the gas phase and downward into the liquid phase. The NGH dissociation and recovery were slower by the SDS among the Bzc solutions (smooth and fast). This observation indicates that the Bzc improves the formation and dissociation kinetics, making it a promising NGH formation and storage reagent. The results show that the Bzc significantly boosts the kinetics of NGH formation and dissociation at a small time and pressure. Providing valuable insights for optimizing hydrate technology.