ABSTRACT Objective This study explores the mechanisms linking parenting styles to digital parental location tracking. Background The use of digital parental location tracking is increasing rapidly. However, empirical research on this practice remains limited, particularly regarding its relation to parenting styles—one of the most extensively studied ...
Avi Marciano
wiley +1 more source
Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms. [PDF]
Alagumariappan P +8 more
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A process‐temporal perspective on organizational paradoxes: A review and future research agenda
Abstract Scholars are increasingly studying paradox processes, yet insights remain disconnected, with limited discussion across studies’ perspectives. Consequently, research risks underutilizing valuable findings, thereby reducing both theoretical and practical progress.
Jan Heiberg Johansen +1 more
wiley +1 more source
AutoXAI: a meta-learning approach for recommendation of explanation techniques. [PDF]
Shawi RE, Jamel L.
europepmc +1 more source
Affective Health Messages for Adolescents: Protocol for a Scoping Review. [PDF]
Berg SH +5 more
europepmc +1 more source
Medicare Part D Beneficiaries' Experiences with Making Complex Insurance Plan Choices: A Qualitative Interview Study. [PDF]
Bruine de Bruin W +3 more
europepmc +1 more source
Model behavior: fixed ideas, random thoughts - rethinking model selection in meta-analysis. [PDF]
Choi GJ, Kang H.
europepmc +1 more source
Strategizing AI utilization for psychological literature screening: A comparative analysis of machine learning algorithms and key factors to consider. [PDF]
König L, Zitzmann S, Hecht M.
europepmc +1 more source
Gender Bias and Diagnostic Delays in Young Women: A Narrative Review. [PDF]
Harrilal-Maharaj K.
europepmc +1 more source
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Knowledge-Based Systems, 2020Abstract These days meta-heuristic algorithms are gaining lot of popularity. The performance of the meta-heuristics depends upon the suitable selection of user dependent parameters. Finding the most suitable values for the parameters (fine tuning) is a challenging problem.
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