2.1 Thermal transfer function A thermal transfer function (thermal TF) contains the nature of the heat transfer principles, thus the calibration of the empirical parameters is simple and the model is in addition more reliable with untested inputs, because the data are forced to conform to the same principles as the real process. At the same time the results are obtained by two orders of magnitu...

Usually, in concentration polarization models, the mass transfer coefficient is an unknown parameter. Also, its variation with changing experimental circumstances is in question. In the literature, many relationships can be found to describe the mass transfer coefficient under various conditions, as well as various corrections for deviating behaviour during ultrafiltration. To obtain reliable m...

Foraminiferal assemblages from Thornham and Brancaster marshes (Norfolk, UK) illustrate statistically significant relationship with elevation with respect to the tidal frame. We develop local (data from Thornham and Brancaster marshes) and regional (data from Thornham and Brancaster marshes combined with those from eleven other sites around the UK) predictive foraminifera-based transfer functio...

Focusing on the characteristics of the new high secure architecture of network computer, an operating system with internal network structure is designed. The operating system contains two subkernels: local kernel and network kernel, the two subkernels run individually in two subsystems. In order to communicate between two subsystems securely, an inter-subsystem private data transfer protocol is...

In the coming 6G era, Internet of Vehicles (IoV) has been evolving towards 6G-enabled IoV with super-high data rate, seamless networking coverage, and ubiquitous intelligence by Artificial Intelligence (AI). Transfer Learning (TL) great potential to empower promising IoV, such as smart driving assistance, its outstanding features including enhancing quality quantity training data, speeding up l...

Bulk data transfers in Grids require end-to-end performance guarantees as well as a reliable and efficient transfer mechanism. The specific traffic requirements and environment conditions need to be taken into account as the focus of resource utilization is shifting from power to network resources in data Grids. This article investigates network resource sharing in Grids, especially data Grids....

We propose that data-driven and conceptually-driven processing become integrated to form an episodic representation that mediates transfer to later reading and memory tasks. These experiments explored conditions that produce visual script specificity for episodic transfer. Earlier work suggested that script sensitivity is reliably found only when the script is unusual or difficult to read, lead...