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AIs @ School: the perception of the actors of the learning processes
Published 2024-11-01Get full text
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Isolated Kaposi Sarcoma of the Tonsil: A Case Report and Review of the Scientific Literature
Published 2015-01-01Get full text
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6429
Extraintracranial Bypass as a Rescue Therapy for Symptomatic Flow Diverter Thrombosis
Published 2015-01-01Get full text
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Application of Local Fractional Series Expansion Method to Solve Klein-Gordon Equations on Cantor Sets
Published 2014-01-01Get full text
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Functional Brain Activity within the Medial and Lateral Portion of BA10 during a Prospective Memory Task
Published 2013-01-01Get full text
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Sex Differences in Parkinson’s Disease: A Narrative Review
Published 2024-12-01Get full text
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Kinetic-pharmacodynamic model to predict post-rituximab B-cell repletion as a predictor of relapse in pediatric idiopathic nephrotic syndrome
Published 2025-01-01“…A kinetic-pharmacodynamic (K-PD) model was developed in 59 children to characterize the time course of CD19+ B-cell after rituximab treatment. Monte Carlo simulation was conducted to explore a mini-dose regimen with larger intervals.ResultsNomogram contained 7 predictors of relapse including neutrophil-to-lymphocyte ratio, duration of B-cell depletion, duration of disease, urine immunoglobulin G to creatinine ratio, urine transferrin, duration of maintenance immunosuppressant and hemoglobin. …”
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Mapping neutron biological effectiveness for DNA damage induction as a function of incident energy and depth in a human sized phantom
Published 2025-01-01“…To this aim, we combined the simulation of radiation transport through biological matter, performed with the Monte Carlo code PHITS, and the prediction of DNA damage using analytical formulas, which ground on a large database of biophysical radiation track structure simulations performed with the code PARTRAC. …”
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An Overview of Composite Standard Elastic-Net Distribution Based on Complex Wavelet Coefficients
Published 2022-01-01“…A simulated investigation is studied using the Markov Chain Monte Carlo (MCMC) tool to estimate the underlying features, where real data are involved and modelled using the proposed methods. …”
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Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control
Published 2019-01-01“…The objective was to minimize the total cost for the passengers and the bus company in the system, and a Monte Carlo simulation based solution method was subsequently designed to solve the optimization model. …”
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Cost-Effectiveness of Hypochlorous Acid Preserved Wound Cleanser versus Saline Irrigation in Conjunction with Ultrasonic Debridement for Complex Wounds
Published 2021-11-01“…**Methods:** A patient-level Monte-Carlo simulation model was used to conduct a cost-effectiveness analysis from the US health system perspective. …”
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Comparison of Hydrus and iStent microinvasive glaucoma surgery implants in combination with phacoemulsification for treatment of open-angle glaucoma: systematic review and network...
Published 2022-06-01“…The network meta-analysis was conducted within a Bayesian framework using the Markov Chain Monte Carlo method in ADDIS software.Results Six prospective RCTs comprising 1397 patients were identified. …”
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Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers
Published 2025-01-01“…While HSPICE simulations combining Monte Carlo (MC) and binary search methods require numerous iterations for single design point verification, our model significantly reduces design time by effectively narrowing the region of interest through pre-optimization using statistical characteristics. …”
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