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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Our data suggest that kefir is able to inhibit the proliferation and induce apoptosis in HT‑29 and Caco‑2 CRC cells, yet it does not exhibit a significant effect on the motility and invasion of these cells in vitro.…”
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A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation
Published 2021“…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …”
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Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases
Published 2008“…The median time from BV discontinuation to surgery was 58 days (range, 31 to 117 days). No significant associations were identified between BV use and timing of BV discontinuation and postoperative complications. …”
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Nested ensemble selection: An effective hybrid feature selection method
Published 2023“…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
Published 2025“…Unlike traditional attacks that use fixed or heuristic perturbation parameters, our GA-driven method dynamically evolves perturbation parameters through multi-objective fitness optimization, producing highly adaptive and effective adversarial examples. …”
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Optimization metaheuristic for software testing
Published 2013“…This paper presents an evolutionary method for testing web applications. Although state-based testing has been reported, few papers have addressed modern web applications. …”
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Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization
Published 2024“…Multiple objectives particle swarm optimisation extracts optimal process parameters. The proposed method is implemented in MATLAB, providing 18 optimal solutions based on the extracted Pareto-Front.…”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. …”
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A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach
Published 2025“…However, their susceptibility to intrusions poses a significant challenge. This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. …”
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Optimal management, prevalence, and clinical behavior of saddle pulmonary embolism: A systematic review and meta-analysis
Published 2022“…In a multivariate logistic regression model, massive PE features significantly increased the odds of death (OR: 29.3, CI: 4.86–181.81, p < 0.001), whereas, treatment with anticoagulation (AC) alone (OR: 0.1, CI: 0.027–0.356, p < 0.001), TT (OR: 0.065, CI: 0.019–0.26, p < 0.001), surgical thrombectomy (ST) (OR: 0.047, CI: (0.010–0.23), p < 0.001), or percutaneous thrombectomy (PT) (OR: 0.12, CI: 0.020–0.84, p = 0.032) significantly decreased odds of death.…”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The soiling can lead to significant losses in elec tricity production, especially in a place like Dubai, UAE. …”
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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function
Published 2024“…The <i>fmincon</i> optimization results agree well with the literature that used different optimization methods. …”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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Race/ethnicity and challenges for optimal insulin therapy
Published 2021Get full text
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Integrating data collection optimization into pavement management systems
Published 2017“…This paper describes a method for using location data to optimize the routing of pavement data collection vehicles. …”
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