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The UK media coverage of China’s handling of the coronavirus outbreak
Get PDFThis article addresses one question: how is the coronavirus outbreak and its management in China reported in the UK media in general, and on the Internet in particular? It does so by examining how the online versions of the BBC, the Guardian and the Daily Mail reported on the coronavirus outbreak in China, but more importantly, on how China handled it, over a 20-week timeframe. The sentiment analysis and thematic analysis show that although the selected media are of different types in the United Kingdom, the themes and topics are not substantially different from each other. This implies that the general media-consuming public in the United Kingdom would regard China’s handling of the virus as largely negative or neutral. However, the ways of discussing and presenting those topics were subject to variation between the publications, which in turn is reflected in the attitudes and perceptions of their readers
Strokes of serendipity: community co-curation and engagement with digital heritage
Get PDFThis article explores the potential that community–led digital engagement with heritage holds for stimulating active citizenship through taking responsibility for shared cultural heritage and for fostering long-lasting relationships between local community heritage groups and national museums. Through the lens of a pilot project titled Science Museum: Community-in- Residence, we discovered that — despite working with community groups that were already loyal to and enjoyed existing working ties with the Science Museum in London, U.K — this undertaking proved challenging owing to a range of structural and logistical issues even before the application of digital devices and tools had been considered. These challenges notwithstanding, the pilot found that the creation of time and space for face-to-face dialogue and interactions between the Science Museum and the participating community heritage groups helped to establish the parameters within which digital co-curation can effectively occur. This, in turn, informed the development of a digital prototype with huge potential to enable remote, virtual connectivity to, and interactivity with, conversations about shared heritage. The ultimate goal was two-fold: (a) to help facilitate collaborative sense-making of our shared past, and (b) to aid the building of sustainable institutional and community/public working ties around emerging affinities, agendas and research questions in relation to public history and heritage
Limited loan rate differentiation, guanxi, loan size and loan maturity in the Chinese bank credit market
Get PDFSince 2004, China has partially liberalized loan rate setting by the banks, but loan rates remain stubbornly within narrow bounds. We argue that competition in the loan market is signalled through the variation of loan deal terms and loan maturity rather than loan rates. We examine the determinants of loan deal conditions in terms of size and maturity. This paper focuses on the role of single firm-bank relationships in determining loan deal conditions as evidence of guanxi in Chinese banking market. Commercial loan deal terms of listed companies are matched to provider banks over the period 1999–2012 and sub-sample estimation for the pre-2004 and post-2004 periods confirm a change in the bank-firm-loan relationship. We find that single firm-bank relationships are associated with larger loan size and longer loan maturity in the pre-liberalization period but that this relationship has weakened in the liberalization period
Offshoring innovation: an empirical investigation of dyadic complementarity within SMEs
Get PDFDespite scholarly agreement that complementary capabilities are essential to successful collaborations, little is known about how small and medium-sized enterprises (SMEs) manage collaborative innovation through offshoring. Besides, the innovation management literature remains generally silent about when supplier joint actions could work in enhancing offshoring innovation (OI) performance. The purpose of this study is twofold. First, we aim to delineate why supplier's asset specificity and goal compatibility predict supplier's complimentary capabilities in OI. Second, we empirically explore the role of supplier joint actions in enhancing OI performance. Based on data collected from 200 SMEs having active OI relationships spanning four developed European countries, our results propose that supplier's complementary capabilities mediate the relationship between critical relational antecedents (supplier's asset specificity and goal compatibility) and OI performance. It should be noted, however, that despite their incentivising power, supplier joint actions can be a “double-edged sword” in SMEs’ OI relationships
Compressive properties of Min-mod-type limiters in modelling shockwave-containing flows
Get PDFThe long-ignored compressive properties of Min-mod-type limiter is investigated in this manuscript by demonstrating its potential in numerically modelling shockwave-containing flows, especially in shock wave/boundary layer interaction (SWBLI) problems. Theoretical studies were firstly performed based on Sweby’s total variation diminishing (TVD) limiter region and Spekreijse’s monotonicity-preserving limiter region to indicate Min-mod-type limiters’ compressive properties. The influence of limiters on the solution accuracy was evaluated using a hybrid-order analysis method based on the grid-independent study in three typical shockwave-containing flows. The conclusions are that, Min-mod-type limiter can be utilized as a dissipative and/or compressive limiter, but depending on the reasonable value of the compression parameter. The compressive Min-mod limiter tends to be more attractive in modelling shockwave-containing flows as compared to other commonly preferred limiters because of its stable computational process and its high-resolution predictions. However, the compressive Min-mod limiter may suffer from its slightly poor convergence, as that observed in other commonly accepted smooth limiters in modelling SWBLI problems. © 2020, The Author(s)
A new Global Navigation Satellite System (GNSS) based method for urban heat island intensity monitoring
Get PDFThe Urban Heat Island (UHI) effect occurs when an urban area experiences higher temperatures than its rural surrounding because of heat being absorbed by built structures and heat being released by anthropogenic sources. UHIs can cause adverse effects to human health and increase energy consumption used for cooling buildings. Therefore, it is important to monitor accurately the UHI effect. The intensity of UHIs are usually monitored using satellite imagery, airborne sensors, and surface temperature sensors. Satellite imagery can cover a large area but requires a clear sky to obtain good images. Moreover, airborne sensors are expensive and also require a clear sky to obtain good data. A large network of surface temperature sensors is required to monitor the UHI of an entire region, which can also be expensive. In this paper, we present a three-step algorithm to monitor UHI intensity using data from Global Navigation Satellite Systems (GNSS). The advantages of using GNSS data to monitor the UHI effect are the increased availability of observation data, high temporal resolution and high geographical resolution. The first step of the algorithm is the calculation of a priori environmental parameters (i.e., water vapour partial pressure, troposphere height, surface pressure, and the vertical profile of refractivity) from radiosonde data. The second step is the calculation of temperature from GNSS data. The last step is the UHI intensity computation. The algorithm presented in this paper has been tested and validated using publicly available GNSS and meteorological data from Los Angeles, California, USA. The validation of the algorithm is done by comparing the UHI intensity estimated from the algorithm with temperature data obtained from weather stations. In the validation, the proposed algorithm can achieve an accuracy of 1.71 °C at 95 % confidence level
Additive manufacturing and testing of a soft magnetic rotor for a switched reluctance motor
Get PDFAdditive manufacturing is acknowledged as a key enabling technology, although its adoption is still constrained to niche applications. A promising area for this technology is the production of electrical machines (EMs) and/or their main components (e.g. magnetic cores, windings, heat exchangers, etc.) due to the potential of creating lightweight, highly efficient rotating motors, suitable for applications requiring a low moment of inertia. This work investigates the readiness of metal additive manufacturing, specifically Laser Powder Bed Fusion (LPBF), applied to the field of EMs to bridge the gaps of how to use this technological approach in this field. A soft magnetic material featuring high silicon content (Fe-5.0%w.t.Si) has been developed for LPBF and a rotor has been 3D-printed for a switched reluctance machine. The printed rotor was assembled into a conventionally laminated stator and the performance of the whole machine was evaluated. Its performance was compared against an identical machine equipped with a laminated rotor of the same dimensions made of conventional non-oriented silicon steel. A comparative study was carried out through both finite element simulations and experimental tests. The efficiency of the two machines was assessed together with the principal electrical and mechanical quantities under several operating conditions
Soft clustering-based scenario bundling for a progressive hedging heuristic in stochastic service network design
Get PDFWe present a method for bundling scenarios in a progressive hedging heuristic (PHH) applied to stochastic service network design, where the uncertain demand is represented by a finite number of scenarios. Given the number of scenario bundles, we first calculate a vector of probabilities for every scenario, which measures the association strength of a scenario to each bundle center. This membership score calculation is based on existing soft clustering algorithms such as Fuzzy C-Means (FCM) and Gaussian Mixture Models (GMM). After obtaining the probabilistic membership scores, we propose a strategy to determine the scenario-to-bundle assignment. By contrast, almost all existing scenario bundling methods such as K-Means (KM) assume before the scenario-to-bundle assignment that a scenario belongs to exactly one bundle, which is equivalent to requiring that the membership scores are Boolean values. The probabilistic membership scores bring many advantages over Boolean ones, such as the flexibility to create various degrees of overlap between scenario bundles and the capability to accommodate scenario bundles with different covariance structures. We empirically study the impacts of different degrees of overlap and covariance structures on PHH performance by comparing PHH based on FCM/GMM with that based on KM and the cover method, which represents the state-of-the-art scenario bundling algorithm for stochastic network design. The solution quality is measured against the lower bound provided by CPLEX. The experimental results show that, GMM-based PHH yields the best performance among all methods considered, achieving nearly equivalent solution quality in a fraction of the run-time of the other methods
The influence and impact of the exchange rate on the economy
Get PDFThis paper analyzes the influence and impact on the exchange rate from several aspects. Firstly, the primary factors influenced by the exchange rate, export, the prices and costs are introduced in this paper. Productivity refers to the increase because the local currency strengthens. Then, it indicates that the exchange rate affects productivity. The last part about influential factors is the effect on the number of tourists. After analyzing the impact of the exchange rate, some suggestions about exchange rate policies are put forward. The exchange rate is an essential element, and it requires to attach importance to both the logical operation and the appropriate use of policy
Comparison of slotted and slotless PM machines for high kW/kg aerospace applications
Get PDFWith the ambitious targeted emissions reduction, the aircraft industry is moving towards drastically different aircraft architectures including hybrid-electric. These in turn require electrical machines with a step change improvement in power-density (kW/kg). This paper explores the potential of slotless surface permanent magnet (PM) machines for aerospace applications and compares the predicted power density (kW/kg) of slotless machines to their slotted counterparts
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