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3D Visualizations of PWS in-game measures of Autonomy, Competence, Immersion & Well-being
These figures show data visualization for the used constructs of a subset of the data from the research version of PowerWash Simulator (Vuorre et al., 2023). It contains measures of Autonomy, Competence, Immersion & Well-being from 5,047 participants of the original 11,080. This was part of a master's thesis on video game play and well-being.
Analisis SEM terhadap Faktor-Faktor yang Mempengaruhi Niat Mahasiswa dalam Penggunaan Teknologi Artificial Intelligence untuk Pembelajaran dengan Analisis Lanjutan melalui Pendekatan CFA
UAS Mata Kuliah Analisis Multivariat 2023D Muhammad Dafa Alvian Ramadhani (23031554017) Muhammad Alif Mahbubi (23031554031) Yogi Ramadhani (23031554198)
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Predictive Insights into Diabetic Foot Amputation
This analysis uses electronic medical records from 434 patients with Diabetic Foot Infection (DFI), in a tertiary care hospital in Central Malaysia, between January 2010 and December 2019. The objective was to investigate the predictive factors associated with amputation in DFI patients. The information extracted included demographics, clinical characteristics (inflammatory markers and clinical complications), and amputation details. Binary logistic regression was performed to identify significant major vs minor amputation predictors.