Evidence has shown that organizations seldom achieve the competitive advantage offered by supply chain management technique. This may be attributed to the fact that current methodologies for analyzing supply chains are not sufficiently comprehensive, particularly when it comes to understanding the complexities of SCM and organization performance in an unified context. In addition, researchers h...

Although recent spectroscopic studies of chemically denatured proteins hint at significant nonrandom residual structure, the results of extensive small angle X-ray scattering studies suggest random coil behavior, calling for a coherent understanding of these seemingly contradicting observations. Here, we report the results of a Monte Carlo study of the effects of two types of local structures, ...

Abstract Supply chains around the globe are faced with difficulties and disruptions due to worldwide pandemic situation digital solutions needed. There is significant research interest in implementation of blockchain technology (BCT) for supply chain management (SCM). A challenge that remains analyzing interactions BCT different areas SCM. This study aims identify influential dimensions impact ...

Understanding reactive recovery responses to slipping is fundamental in falls research and prevention. The primary purpose of this study was to investigate the role of the unperturbed limb and arms in the reactive recovery response to an unexpected slip. Ten healthy, young adults participated in this experiment in which an unexpected slip was induced by a set of steel free-wheeling rollers. Sur...

A framework for low-order predictive statistical modeling and uncertainty quantification in turbulent dynamical systems is developed here. These reduced-order, modified quasilinear Gaussian (ROMQG) algorithms apply to turbulent dynamical systems in which there is significant linear instability or linear nonnormal dynamics in the unperturbed system and energy-conserving nonlinear interactions th...