Results 161 to 170 of about 50,503 (261)

National Context and STEM Career Expectations: Social Comparison and Gender Differences Across 72 Economies

The Career Development Quarterly, EarlyView.
ABSTRACT Adolescents’ career expectations play a pivotal role in shaping identity and future opportunities, yet little is known about how national‐level comparisons influence these expectations. Drawing on social comparison theory, this study examines how relative standing in science achievement, socioeconomic status (SES), and math self‐efficacy is ...
Luyang Guo
wiley   +1 more source

Multiscale parcellation of dynamic causal models of the brain. [PDF]

Imaging Neurosci (Camb)
Zarghami TS.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Serotype-specific pneumococcal conjugate vaccine effectiveness in Canadian children: an indirect cohort study using Bayesian hierarchical modeling of multisite data. [PDF]

BMC Infect Dis
Zhou Z, Deceuninck G, Brousseau N, McGeer A, Naus M, Kellner JD, Sell H, Sadarangani M, De Wals P.   +8 more
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma. [PDF]

Cancer Med
Fukuokaya W, Mori K, Yanagisawa T, Ito K, Imai Y, Urabe F, Rajwa P, Shariat SF, Kimura T, Hirakawa A.   +9 more
europepmc   +1 more source

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni, Luca Merlo, Lea Petrella   +2 more
wiley   +1 more source

A Bayesian hierarchical mixture model for extracting process features in a newly developed cloud-based writing platform. [PDF]

Front Psychol
Li T, An S.
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source