A novel bubbling fluid bed reactor for the autothermal pyrolysis of waste plastics
The Canadian Journal of Chemical Engineering, EarlyView.Abstract A new pilot‐scale fluidized bed reactor operated under continuous conditions was developed and tested for the thermal pyrolysis of high‐density polyethylene (HDPE). The study focused on assessing the reliability and operability of the system under different operating conditions (400–550°C), while monitoring mass and energy balances, product ...
Khadija Olivia Ogoula Igouwe +4 more
wiley +1 more source
Microdosing psilocybin for major depressive disorder: study protocol for a phase II double-blind placebo-controlled randomised partial crossover trial - CORRIGENDUM. [PDF]
BJPsych OpenBeidas Z +10 more
europepmc +1 more source
Dynamic survival risk prediction with time‐varying high‐dimensional images
Canadian Journal of Statistics, EarlyView.Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu +7 more
wiley +1 more source
Correction: Ahn et al. Innovative qPCR Algorithm Using Platelet-Derived RNA for High-Specificity and Cost-Effective Ovarian Cancer Detection. <i>Cancers</i> 2025, <i>17</i>, 1251. [PDF]
Cancers (Basel)Ahn E +10 more
europepmc +1 more source
Optimal subsampling for regression with mixed‐type predictors
Canadian Journal of Statistics, EarlyView.Abstract Subsampling has emerged as an appealing strategy to mitigate the computational and storage challenges imposed by large datasets. Recent subsampling techniques have shown notable computational gains for data dominated by numerical predictors. However, real‐world datasets frequently contain both numerical and categorical predictors.
Jiaqing Zhu, Lin Wang, Fasheng Sun
wiley +1 more source
pam: An R Package for Fast and Efficient Processing of Pulse-Amplitude Modulation Data. [PDF]
Ecol EvolBöhm J, Schrag P.
europepmc +1 more source
Clinical Pharmacology &Therapeutics, EarlyView.Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor +12 more
wiley +1 more source
Artificial intelligence in microbial keratitis. [PDF]
Indian J OphthalmolVanathi M.
europepmc +1 more source
AI‐Enabled Precision Dosing in Pediatrics: Enhancing Model‐Informed Decision Making
Clinical Pharmacology &Therapeutics, EarlyView.Ensuring safe and effective pharmacotherapy for children remains a central challenge in clinical pharmacology, yet rapid advances in AI have not translated into clinical practice. This Perspective highlights how AI‐enabled approaches can enhance model‐informed decision making for precision dosing.
Kei Irie, Tomoyuki Mizuno
wiley +1 more source
Model‐Informed Evaluation of Hydroxyurea Exposure During Lactation
Clinical Pharmacology &Therapeutics, EarlyView.Hydroxyurea is a cornerstone therapy for sickle cell anemia; however, evidence guiding its use during lactation remains limited. This study aimed to develop a population pharmacokinetic (PK) model to characterize hydroxyurea disposition in maternal plasma and breast milk, and to quantify infant exposure under clinically relevant breastfeeding scenarios.
Anhar Hosawi +5 more
wiley +1 more source