Addictive Behaviors
Research Hotspot & Journal Scope - model
Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out.
Jon D Elhai · Haibo Yang · Dmitri Rozgonjuk · Christian Montag ·
Psychology MedicineUnderstanding susceptibility to e-cigarettes: A comprehensive model of risk factors that influence the transition from non-susceptible to susceptible among e-cigarette naïve adolescents.
Felicia R Carey · Shannon M Rogers · Elizabeth A Cohn · Melissa B Harrell · Anna V Wilkinson · Cheryl L Perry ·
Psychology MedicineEstimates of the national trend of drugs use during 2000-2030 in China: A population-based mathematical model.
Shu Su · Christopher Kincaid Fairley · Limin Mao · Nicholas A Medland · Jun Jing · Feng Cheng · Lei Zhang ·
Medicine PsychologyMapping Internet gaming disorder using effective connectivity: A spectral dynamic causal modeling study.
Min Wang · Hui Zheng · Xiaoxia Du · Guangheng Dong ·
Psychology MedicineA tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies.
David Huh · Eun-Young Mun · Scott T Walters · Zhengyang Zhou · David C Atkins ·
Computer Science MedicineScientific Writng Examples of Homogeneous Models in a Sentence
Our approach can be easily combined with classical methods by using homogeneous descriptions only for certain branches, yielding partially homogeneous models.
Scientific Writng Examples of Prey Model in a Sentence
Predator-prey models describe the interaction between two species, the prey which serves as a food source to the predator.
Scientific Writng Examples of Model Driven in a Sentence
For this, Model Driven Development (MDD) is proposed.
Scientific Writng Examples of Comanagement Model in a Sentence
There was variability of clinical patient outcomes with some findings favoring the comanagement model.
Scientific Writng Examples of Atmospheric Models in a Sentence
The potential significance of cloud processing as a contributor to IEPOX SOA production could account for discrepancies between predicted IEPOX SOA mass from atmospheric models and measured ambient IEPOX SOA mass, or observations of IEPOX SOA in locations where mass transfer limitations are expected in aerosol particles.