Structure-Preserving Clustering in Encrypted Feature Spaces

Complex single valued neutrosophic sets (CSVNSs) extend conventional neutrosophic sets to complex valuedmembership functions, providing a flexible mathematical model of uncertainty, indeterminacy, and inconsistency. Sinceeach component of a universe is represented by truth, indeterminacy, and falsity membership functions with values in theunit interval, this enables the expression of richer and more expressive information in discrete and continuous models.Basic set-theoretic concepts of CSVNS...

Neutrosophic Selective Separability

We develop a confidence-sensitive neutrosophic framework for selective separability. Single-valued neutrosophic sets are evaluated through an admissible aggregation operator Φ(T, 1 − I, 1 − F), so that the conservative minimum is only one possible choice. We first study uncertain dense data over an ordinary topology and prove operator-independent transfer results for M-, H-, R-, and S-separability, while showing that the admissible witnesses remain genuinely confidence-sensitive. We then pass...

Editorial Comment to “Prediction of Postoperative Intravesical Recurrence Using Urine DNA Monitoring in Non‐Muscular‐Invasive Urothelial Bladder Cancer”

Malnutrition management in children with chronic kidney disease

Chronic kidney disease (CKD) encompasses diverse conditions such as congenital anomalies, glomerulonephritis, and hereditary nephropathies, necessitating individualized nutritional interventions. Early detection is pivotal due to the heightened risk of adverse outcomes, including compromised growth and increased healthcare costs. The nutritional assessment in pediatric CKD employs a comprehensive, multidisciplinary approach, considering disease-specific factors, growth metrics, and dietary ha...