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Impact of land use and land cover change on streamflow dynamics within the Meki River watershed of the Ethiopian Rift Valley Basin
A systematic comparison of ChatGPT and DeepSeek for guideline-based question answering in obstetric anesthesia
Complete chloroplast genome features and phylogenetic analysis of Clematis cadmia
Deep learning-assisted ultrathin broadband vanadium dioxide-based polarization-insensitive terahertz metamaterial absorber
Research on energy storage in coal mine goafs: geological model construction and application based on Nanshan Mine
High-salt and high-sucrose diets may not reliably induce hypertension or diabetes in rat models
A novel Polyoxometalate@UiO-66/P@ERGO nanohybrid with exceptional peak potential separation for simultaneous detection of dopamine and uric acid
Interfacial mechanisms governing acid–brine–heavy oil interactions: quantitative analysis of asphaltene behavior and emulsion stability
The intermediate disturbance hypothesis underlies community structure in rocky intertidal forests
L-shaped association of plasma creatinine with frailty in oldest‑old: Evidence from a cross-sectional study of CLHLS
Multiscale genetic connectivity, kinship, and demographic history of the Antarctic soft coral Alcyonium antarcticum in the Western Antarctic Peninsula
Evaluating large language model`s performance in answering principles of health course questions
Development of a HiFi-LAMP assay for the detection of herpes simplex virus type 1
Assessment of physicochemical properties and bacteriological quality of raw cow milk along the Dairy Value Chain in Mekelle City, Tigray, Ethiopia
Antioxidant, antimicrobial, and apoptosis-related activities of Azadirachta indica (Neem) leaf extract in MCF-7 and A549 cell lines
Abstract This study aimed to extract neem leaves components to determine their antimicrobial and antioxidants activities. In addition, their ability to suppress the proliferation of A549 and MCF-7 cells were studied to explore the possible underlying mechanisms involved during such effects. Therefore, the antimicrobial activity of the extract towards some bacterial and fungal strains was investigated using agar well diffusion method, minimum inhibition concentration (MIC) test, peroxidase (POX), and catalase (CAT) activities. Superoxide dismutase (SOD) and catalase (CAT) like activities as well as total antioxidant capacity (TAC) and DPPH scavenging activity were determined. Cells viabilities were also measured by the mitochondrial-dependent reduction of MTT on A549 and MCF-7 cell lines. Cell cycle was flowcytomerically analyzed to detect which phase was arrested. Quantitative real-time PCR (RT-PCR) was done to assess the changes in apoptotic and anti-apoptotic genes. Results showed that, neem leaves extract was more effective towards Gram-negative bacteria ( E. aerogenes and E. coli ) than that of Gram-positive type ( B. cereus and S. epidermidis ). Also, the extract has a high antioxidant activity compared to that of the ascorbic acid (DPPH IC 50 was 0.22 and 0.51 mg/ml for extract and ascorbic acid, respectively). Cytotoxicity assays confirm that the extract is able to suppress the proliferation of cell lines in a dose-dependent manner with IC 50 of 128.1 and 55.7 µg/ml for A549 and MCF-7, respectively. The extract promotes arrest of cell cycle at G0, inhibited the anti-apoptotic genes and stimulated the pro-apoptotic ones. In conclusion, neem leaves extract could have promising roles in pharmaceutical and medical applications.
Consensus-based feature selection and Bayesian-optimized stacking ensembles for comprehensive fault diagnosis in series-compensated ultra-high-voltage power systems
LingualX64: a multilingual benchmark for evaluating symmetry and asymmetry in LLM translation
Post-peak dependence analysis in statistical damage constitutive modeling of brittle rocks
Abstract Accurately simulating the post-peak behavior of brittle rocks remains a challenge for statistical damage constitutive models. This study investigates the sensitivity of post-peak simulation to model components by evaluating combinations of three strength criteria and three micro-element strength distributions against triaxial test data from five rock types. Results indicate that the probability distribution of micro-element strength governs simulation accuracy, while the strength criterion exerts minimal influence. Based on these findings, a relative brittleness index-based method for selecting the optimal distribution is proposed, along with a dual-parameter collaborative correction method. Validation shows that this approach significantly enhances the fit to experimental post-peak curves, eliminates criterion-induced interference in parameter adjustment, and remains effective across multiple distribution modes. The proposed method offers a solution for improving the reliability of damage models in predicting brittle rocks failure.