The detection of diabetes through machine learning offers a promising avenue for improving early diagnosis and treatment. This study examines the application of various machine learning algorithms,
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In this study, we introduce characteristic matrices of a Pawlak approximation space and support by classical operations. We define special types of characteristic matrices: approximation, roughness,
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Given the possibility of its chemical particle disintegration, monitoring the distribution of macroplastics in water bodies is crucial. Anthropogenic activities that are not supported by sufficient
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Recent research has revealed that patients and their caregivers, as end users of healthcare products and services, are not only drivers of institutional research, but also inventors of a multitude of
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Enhanced firm-stakeholder interconnectivity has made the environments they operate in more transparent, giving rise to ethical issues that are not always considered. Ethicality should be a concern
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This dissertation investigates two distinct but interrelated phenomena of user innovation and user co-creation in a healthcare context. We explore the role of patients (end users of healthcare
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Consumer awareness of the negative impacts of fast fashion has driven a shift towards sustainable apparel. This study aims to understand the determinants of consumer intention to engage in
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In the last decade, there have been a number of fatal disasters in garment factories across the world, with many of these factories producing garments for the ‘fast fashion’ industry. With the
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