Results 211 to 220 of about 577,814 (285)

An open‐label, single‐arm, dose‐escalating concentration–QT study to investigate the cardiac effects and safety of paroxetine in healthy adults

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Paroxetine is a selective serotonin reuptake inhibitor (SSRI), approved for treatment of major depressive disorder and anxiety disorders. Some SSRIs are known to prolong the QT interval; however, clinical evidence to establish a lack of association between paroxetine and corrected QT interval (QTc) prolongation is limited. Therefore, this
Sven C. van Dijkman, Mathieu Félices, Bhaskar Pandurangavittal, Sanman Ghorpade, Caroline Easterbrook, Marcin Zabielski, Oscar Della Pasqua   +6 more
wiley   +1 more source

The potential of scintillator-based photon counting detectors: evaluation using Monte Carlo simulations. [PDF]

Proc SPIE Int Soc Opt Eng
Hsieh SS, Taguchi K, Goorden MC, Schaart DR.   +3 more
europepmc   +1 more source

Population pharmacokinetic modelling of amoxicillin in human breast milk—A contribution from the ConcePTION project

British Journal of Clinical Pharmacology, EarlyView.
Aims Amoxicillin, a widely used β‐lactam antibiotic, requires improved pharmacokinetic characterization during breastfeeding. This study used a population pharmacokinetic (PopPK) approach to model amoxicillin concentrations in breast milk, identify variability sources and estimate infant exposure, applying worst‐case scenarios.
Sarah Baklouti, Virginie Rigourd, Alice Panchaud, Hedvig Nordeng, Karel Allegaert, Pieter Annaert, Miao‐Chan Huang, Anaelle Monfort, Monia Guidi, Peggy Gandia   +9 more
wiley   +1 more source

Achieving Reproducibility and Replicability of Molecular Dynamics and Monte Carlo Simulations Using the Molecular Simulation Design Framework (MoSDeF). [PDF]

J Chem Eng Data
Craven NC, Singh R, Quach CD, Gilmer JB, Crawford B, Marin-Rimoldi E, Smith R, DeFever R, Dyukov MS, Fothergill JW, Jones C, Moore TC, Butler BL, Anderson JA, Iacovella CR, Jankowski E, Maginn EJ, Potoff JJ, Glotzer SC, Cummings PT, McCabe C, Siepmann JI.   +21 more
europepmc   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Pharmacokinetic/Pharmacodynamic Modelling and Monte Carlo Simulations to Predict Cytomegalovirus Viral Load in Pediatric Transplant Recipients Treated with (val)Ganciclovir. [PDF]

Clin Pharmacokinet
Koloskoff K, Franck B, Benito S, Welzel J, Autmizguine J, Theoret Y, Briand A, Ovetchkine P, Woillard JB.   +8 more
europepmc   +1 more source

Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

British Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

Investigating the sensitivity of the diffusion MRI signal to magnetization transfer and permeability via Monte-Carlo simulations

Zheng Z, Miller KL, Tendler BC, Cottaar M.   +3 more
europepmc   +1 more source

Antiproton annihilation at rest in thin solid targets and comparison with Monte Carlo simulations. [PDF]

Eur Phys J A Hadron Nucl
Amsler C, Breuker H, Bumbar M, Cerwenka M, Costantini G, Ferragut R, Fleck M, Giammarchi M, Gligorova A, Gosta G, Hunter ED, Killian C, Kolbinger B, Kraxberger V, Kuroda N, Lackner M, Leali M, Maero G, Mascagna V, Matsuda Y, Migliorati S, Murtagh DJ, Nanda A, Nowak L, Rheinfrank S, Romé M, Simon MC, Tajima M, Toso V, Ulmer S, van Beuzekom M, Venturelli L, Weiser A, Widmann E, Yamazaki Y, Zmeskal J.   +35 more
europepmc   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source