Previous research highlights that the learning processes of preschool-aged children are influenced by the cultural group membership of the information sources. As of yet, however, no study has aimed to explore the influence of cultural group membership on the long-term retention of novel information. In the current study, 4-year-old children observed three event sequences that were demonstrated by either an adult speaking their native language or a foreign language speaker. In Experiment 1, children (N = 56) were allowed to imitate the events immediately. Results showed that the average number of accurately reproduced details (native = 3.26; foreign = 3.11) and the order of event elements (native = 1.69; foreign = 1.49) did not significantly differ in the two conditions. In Experiment 2, children (N = 56) were allowed to imitate only following a 1-week delay. In this case, children retained more details (native = 2.6; foreign = 2.2) and reproduced the order in the event sequences more accurately (native = 1.18; foreign = 0.87) following a native demonstration. The behavior of children in all conditions differed from a baseline group without any instruction (n = 15). These findings show that preschoolers retain more information in the long term when it was demonstrated to them by a member of their own culture. Importantly, they also learn from people belonging to different cultures-as evidenced by both the lack of difference in Experiment 1 and the difference between the out-group condition of Experiment 2 and the baseline.
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http://dx.doi.org/10.1016/j.jecp.2023.105781 | DOI Listing |
Epilepsia
January 2025
Applied Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp, Belgium.
Objective: This study aims to improve genetic diagnosis in childhood onset epilepsy with neurodevelopmental problems by utilizing RNA sequencing of fibroblasts to identify pathogenic variants that may be missed by exome sequencing and copy number variation analysis.
Methods: We enrolled 41 individuals with childhood onset epilepsy and neurodevelopmental problems who previously had inconclusive genetic testing. Fibroblast samples were cultured and analyzed using RNA sequencing to detect aberrant expression, aberrant splicing, and monoallelic expression using the Detection of RNA Outlier Pipeline (DROP) pipeline.
Int J Gynecol Cancer
January 2025
Fudan University Shanghai Cancer Center, Department of Gynecologic Oncology, Shanghai, China; Fudan University, Shanghai Medical College, Department of Oncology, Shanghai, China. Electronic address:
Objective: Homologous recombination deficiency assays, guiding treatment of poly (adenosine diphosphate ribose) polymerase inhibitors, are increasingly applied in clinics. This study aimed to evaluate the predictive performance of homologous recombination deficiency status at genomic and functional perspective on the efficacy of platinum-based chemotherapy in ovarian cancer.
Methods: Between 2016 and 2019, 134 patients with high-grade ovarian cancer were retrospectively analyzed.
Cochrane Database Syst Rev
January 2025
Global Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Chuo-ku, Japan.
Background: Antimicrobial resistance (AMR) is a major global health concern. One of the most important causes of AMR is the excessive and inappropriate use of antimicrobial drugs in healthcare and community settings. Most countries have policies that require antimicrobial drugs to be obtained from a pharmacy by prescription.
View Article and Find Full Text PDFMycobacteriophages are viruses that specifically infect bacteria of the Mycobacterium genus. A substantial collection of mycobacteriophages has been isolated and characterized, offering valuable insights into their diversity and evolution. This collection also holds significant potential for therapeutic applications, particularly as an alternative to antibiotics in combating drug-resistant bacterial strains.
View Article and Find Full Text PDFJ Comput Graph Stat
October 2023
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.
Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However, the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorithm remains one of the most popular ways to estimate the MMM parameters, however, convergence of EM algorithm is not always guaranteed.
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