In particular, there is increasing recognition of the value of qualitative research methods ... sufficient data related to one’s question of interest. Rather than a priori define what sample size will ...

AI-powered framework combines CNNs and knowledge graphs to detect credit risk early in internet finance firms, enhancing prediction accuracy and decision transparency.

By elevating patient perspectives from an afterthought to a core part of the process, payers can create a system that aligns ...

Worldwide Online Doctor Consultation Market ScopeOnline doctor consultation is an increasingly popular healthcare solution that allows patients to interact with medical professionals remotely through ...

Through consumer behavior and predictive analytics, companies regularly capture, store and analyze large amounts of quantitative and qualitative data on ... Some collection methods are highly ...

Digital Literacy, Student Engagement, Communicative English Share and Cite: Fauzi, M. and Khalid, F. (2025) Evaluating the Effectiveness and Challenges of CIDOS LMS in Teaching Communicative English ...

Objectives To identify and assess the social support interventions provided to caregivers of older adults with dementia. By ...

42 Since data were deidentified and aggregated by study type at the institution level, it was not possible to examine representation by important factors, such as sex, race, ethnicity, or geography, ...

Kalakaan, M. (2025) A Study on the Settlement of Herojaale Reconciliation Process: A Pathway to Sustainable Peace in Mudug ...

How to represent a low-rank structure embedded in the underlying data is the key issue in tensor ... and videos illustrate that the proposed method outperforms many state-of-the-art methods in ...