Background: Nowadays, a comprehensive approach is needed to describe the current status of the technology integration process and the identification of the factors that affect it, because the description and frame of the existing situation will be the starting point in the organization of the roadmap to the realization of an effective integration process. The purpose of this study is to identify the differences in technology integration of the medical educators working in Turkey and analyze these according to various variables on the basis of technological pedagogical content knowledge.
Method: Data used in the study were collected from 301 medical educators using the TPACK-Practical Scale and Attitude towards Technology Scale. The data were analyzed using Ward's minimum variance hierarchical clustering analysis, discriminant function analysis and multinomial logistic regression analysis.
Results: According to the results of the study, medical educators' technology integration was grouped in the following clusters, according to their TPACK: (i) activity-based, (ii) student- based and (iii) topic-based. It was found that the developed model explains 79% of the variance of technology integration. The implementation of simulation-based medical education in medical school and the department where they work affect the clusters to which the medical educators were assigned, whereas the gender variable didn't have an effect. The findings showed that attitudes towards technology, simulation education and working in the field of basic medical sciences increased medical educators' activity-based presence.
Conclusions: The review of the clusters and their characteristics showed that there are similarities between the items used in the designing stage of the education programs and the relationships of these items among them. Learner centered approaches are based on the assumption that students are located at the center of the program. In these designs, teaching mostly focuses on the learner, rather than program, learning or administrative body. Individuals and their identities are crucial.
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http://dx.doi.org/10.1186/s12909-019-1664-1 | DOI Listing |
J Magn Reson Imaging
January 2025
Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine (Shenzhen Traditional Chinese Medicine Hospital), Shenzhen, China.
Background: Multifrequency MR elastography (mMRE) enables noninvasive quantification of renal stiffness in patients with chronic kidney disease (CKD). Manual segmentation of the kidneys on mMRE is time-consuming and prone to increased interobserver variability.
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Nanoscale
January 2025
School of Chemistry and Chemical Engineering, North Minzu University, Yinchuan 750021, PR China.
Despite the potential to significantly enhance the economic viability of biomass-based platforms through the selective conversion of glycerol to 1,3-dihydroxyacetone (DHA), a formidable challenge persists in simultaneously achieving high catalytic activity and stability along this reaction pathway. Herein, we have devised a strategic approach to manipulate the interfacial integration within composite catalysts to address the performance trade-off. Through the modulation of the composite process involving a bio-templated porous ZSM-5 zeolite platform (bZ) and an Au/CuZnO catalyst, three distinct interfacial bonding modes were achieved: physical milling, encapsulation by zeolite, and growth on zeolite.
View Article and Find Full Text PDFFASEB J
January 2025
State Key Laboratory of Swine and Poultry Breeding Industry, Sichuan Agricultural University, Chengdu, China.
Triglyceride (TG) metabolism is a complex and highly coordinated biological process regulated by a series of genes, and its dysregulation can lead to the occurrence of disorders in lipid metabolism. However, the transcriptional regulatory mechanisms of crucial genes in TG metabolism mediated by enhancer-promoter interactions remain elusive. Here, we identified candidate enhancers regulating the Agpat2, Dgat1, Dgat2, Pnpla2, and Lipe genes in 3T3-L1 adipocytes by integrating epigenomic data (H3K27ac, H3K4me1, and DHS-seq) with chromatin three-dimensional interaction data.
View Article and Find Full Text PDFHealth Econ Rev
January 2025
Finnish Institute for Health and Welfare, PO Box 30, 00271, Helsinki, Finland.
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View Article and Find Full Text PDFBioDrugs
January 2025
Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Background: With the expiration of patents for multiple biotherapeutics, biosimilars are gaining traction globally as cost-effective alternatives to the original products. Glycosylation, a critical quality attribute, makes glycosimilarity assessment pivotal for biosimilar development. Given the complexity of glycoanalytical profiles, assessing glycosimilarity is nontrivial.
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