BACKGROUND A recent collaborative meta-analysis by Kidney Disease: Improving Global Outcomes reported that an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m(2) and an albumin-to-creatinine ratio of ≥ 10 mg/g were independent predictors for mortality in the general population. However, selection bias, heterogeneity of the cohorts and measurement issues could be limitations. METH...

BACKGROUND Determination of skeletal maturation and remaining growth potential is an essential part of treatment planning in orthodontics. The aim of our study was to determine the relationship between IGF-1 levels, IGFBP-3 levels with CVM staging to track the pre pubertal and pubertal growth spurts in female patients in North Indian population. METHODS This cross-sectional study was conducte...

This paper examines the role of learning avenues for capability development in the ITenabled services in developing countries. It sheds light on the unexplored relationship between global value chain (GVC) learning and national innovation systems (NIS) in capability development. It explores learning avenues beyond GVCs, namely in local and regional value chains. Based on data collected from 47 ...

In probabilistic inference for signal processing, medical diagnosis, code theory, digital communication, machine learning and so on, belief propagation (BP) is one of powerful approximate methods to calculate a belief for each node within a practical computational time[1]. Recently, it has been pointed out that the BP has some mathematical structures in common with advanced mean-field (MF) meth...

The idea of spherical fuzzy soft set (SFSS) is a new hybrid model (SS) and (SFS). An SFSS approach for information analysis fusion, modeling. We define the concepts spherical-fuzzy-soft-set topology (SFSS-topology) separation axioms. Several characteristics SFSS-topology are investigated related results derived. developed an extended choice value method (CVM) AHP-TOPSIS (analytical hierarchy pr...