Universities, knowledge networks, and regional competitiveness: perspectives from the UK

As the need for regions to convert knowledge within universities into industrial and commercial success is increasingly acknowledged in the knowledge-based economy, universities are no longer considered to be isolated islands of knowledge, but as institutions increasingly engaged with a range of external partners through various types of knowledge networks. Although studies have examined the importance of interactions between academics and businesses in building competitive advantages of regions, there has been much less work considering how the nature of interactions is associated with regional competitiveness. This research explores these issues through a study of the network relationships between universities and businesses in the context of the UK, where uneven regional economic development has long been a feature of the economy. By adopting a critical realist paradigm and employing both qualitative and quantitative methods, this research reveals both ‘what’ knowledge exchange activities are engaged by universities and ‘how’ the intensity and performance of those activities are associated with regional competitiveness. National findings suggest that universities in more competitive regions generate higher income from engaging in knowledge exchange activities than those in uncompetitive areas. However, academics in uncompetitive regions are more actively engaged in knowledge exchange activities than their counterparts in competitive areas. It is also found that the intensity of firm-level interaction with universities is associated with the regional location of firms, especially in the case of smaller firms. In particular, firms located within relatively economically competitive regions tend to be more positively engaged with the use of academic knowledge. Firms in uncompetitive regions have lower levels of demand for academic knowledge, even though there is often sufficient supply. Overall, the study indicates that the competitiveness of regions in the UK is positively associated with a strong demand from businesses for knowledge generated by universities. The complexity of the knowledge exchange process is further highlighted in case studies of university initiatives, which show that universities engage with businesses in a diverse spectrum even at the regional level. It is concluded that future policy intervention targeted at fostering university-industry interactions needs to more fully acknowledge territorial patterns of knowledge exchange

Leveraging knowledge as a competitive asset? The intensity, performance and structure of universities’ entrepreneurial knowledge exchange activities at a regional level

© 2016, The Author(s). Universities are no longer considered to be isolated islands of knowledge, but as institutions increasingly engaged with a range of external partners through entrepreneurial activities. This paper examines the associations between the intensity and performance of knowledge exchange activities undertaken in UK universities with non-academic actors. Drawing on data concerning the structural factors of interactions of universities in the UK with external partners, the paper sheds further light on the nature of these activities through a prism of competitive and uncompetitive regions in order to better understand how universities may be able to leverage both their knowledge and partnerships more effectively as competitive assets. On the one hand, it is found that academics in uncompetitive regions are more intensively engaged in entrepreneurial activities but generate less income from them than their counterparts in competitive regions, suggesting that there are differences in the income-generating capacity of academics across regions. On the other hand, academic knowledge is found to be more strongly bounded within a certain distance in uncompetitive regions whilst geographical distance seems less of a hindrance to academics in competitive regions

Impacts of Government Policy on Universities: A Critical Analysis of Wales

This article addresses the impacts of a series of key government policies on university funding in Wales. Using the Welsh European Funding Office (WEFO) data since 2000, we examine to what extent a sector based approach of government policy affects universities ’ funding from WEFO. It emerges that WEFO funding flows in the same direction with the policy in terms of sector focus. South Wales universities with competencies in the government’s priority sectors are receiving more funding, resulting in a further uneven distribution of funding across universities and regions, and consequently leads to an increasing North-South divide in Wales

A regional perspective on the entrepreneurial university : practices and policies

This chapter provides a regional perspective on the entrepreneurial university, its practices and policies

Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO

An improved maritime object detection algorithm, SRC-YOLO, based on the YOLOv4-tiny, is proposed in the foggy environment to address the issues of false detection, missed detection, and low detection accuracy in complicated situations. To confirm the model’s validity, an ocean dataset containing various concentrations of haze, target angles, and sizes was produced for the research. Firstly, the Single Scale Retinex (SSR) algorithm was applied to preprocess the dataset to reduce the interference of the complex scenes on the ocean. Secondly, in order to increase the model’s receptive field, we employed a modified Receptive Field Block (RFB) module in place of the standard convolution in the Neck part of the model. Finally, the Convolutional Block Attention Module (CBAM), which integrates channel and spatial information, was introduced to raise detection performance by expanding the network model’s attention to the context information in the feature map and the object location points. The experimental results demonstrate that the improved SRC-YOLO model effectively detects marine targets in foggy scenes by increasing the mean Average Precision (mAP) of detection results from 79.56% to 86.15%

A longitudinal study of entrepreneurial activities in the UK higher education sector

This presentation looks at a longitudinal study of entrepreneurial activities in the UK higher education secto

Auricularia auricular polysaccharide-low molecular weight chitosan polyelectrolyte complex nanoparticles: Preparation and characterization

Novel polyelectrolyte complex nanoparticles (AAP/LCS NPs) were prepared in this study and these were produced by mixing negatively charged auricularia auricular polysaccharide (AAP) with positively charged low molecular weight chitosan (LCS) in an aqueous medium. The AAP was extracted and purified from auricularia auricular, and then characterized by micrOTOF-Q mass spectrometry, UV/Vis spectrophotometry, moisture analyzer and SEM. The yield, moisture, and total sugar content of the AAP were 4.5%, 6.2% and 90.12% (w/w), respectively. The AAP sample was water-soluble and exhibited white flocculence. The characteristics of AAP/LCS NPs, such as the particle size, zeta potential, morphology, FT-IR spectra, DSC were investigated. The results obtained revealed that the AAP/LCS NPs had a spherical shape with a diameter of 223 nm and a smooth surface, and the results of the FT-IR spectra and DSC investigations indicated that there was an electrostatic interaction between the two polyelectrolyte polymers. Bovine serum albumin (BSA, pI = 4.8) and bovine hemoglobin (BHb, pI = 6.8) were used as model drugs to investigate the loading and release features of the AAP/LCS NPs. The results obtained showed that the AAP/LCS NPs had a higher entrapment efficiency (92.6%) for BHb than for BSA (81.5%). The cumulative release of BSA and BHb from AAP/LCS NPs after 24 h in vitro was 95.4% and 91.9%, respectively. The in vitro release demonstrated that AAP/LCS NPs provided a sustained release matrix suitable for the delivery of protein drugs. These studies demonstrate that AAP/LCS NPs have a very promising potential as a delivery system for protein drugs

Polarizable Multipole-Based Force Field for Dimethyl and Trimethyl Phosphate

Phosphate groups are commonly observed in biomolecules such as nucleic acids and lipids. Due to their highly charged and polarizable nature, modeling these compounds with classical force fields is challenging. Using quantum mechanical studies and liquid-phase simulations, the AMOEBA force field for dimethyl phosphate (DMP) ion and trimethyl phosphate (TMP) has been developed. On the basis of <i>ab initio</i> calculations, it was found that ion binding and the solution environment significantly impact both the molecular geometry and the energy differences between conformations. Atomic multipole moments are derived from MP2/cc-pVQZ calculations of methyl phosphates at several conformations with their chemical environments taken into account. Many-body polarization is handled via a Thole-style induction model using distributed atomic polarizabilities. van der Waals parameters of phosphate and oxygen atoms are determined by fitting to the quantum mechanical interaction energy curves for water with DMP or TMP. Additional stretch-torsion and angle-torsion coupling terms were introduced in order to capture asymmetry in P–O bond lengths and angles due to the generalized anomeric effect. The resulting force field for DMP and TMP is able to accurately describe both the molecular structure and conformational energy surface, including bond and angle variations with conformation, as well as interaction of both species with water and metal ions. The force field was further validated for TMP in the condensed phase by computing hydration free energy, liquid density, and heat of vaporization. The polarization behavior between liquid TMP and TMP in water is drastically different