72 research outputs found

    Identifying the configurational paths to innovation in SMEs:a fuzzy-set qualitative comparative analysis

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    Using fuzzy-set qualitative comparative analysis (fsQCA), this study investigates the conditions leading to a higher level of innovation. More specifically, the study explores the impact of inter-organisational knowledge transfer networks and organisations' internal capabilities on different types of innovation in Small to Medium size Enterprises (SMEs) in the high-tech sector. A survey instrument was used to collect data from a sample of UK SMEs. The findings show that although individual factors are important, there is no need for a company to perform well in all the areas. The fsQCA, which enables the examination of the impacts of different combinations of factors, reveals that there are a number of paths to achieve better incremental and radical innovation performance. Companies need to choose the one that is closest to their abilities and fits best with their resources

    HLA-DQA1*05 carriage associated with development of anti-drug antibodies to infliximab and adalimumab in patients with Crohn's Disease

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    Anti-tumor necrosis factor (anti-TNF) therapies are the most widely used biologic drugs for treating immune-mediated diseases, but repeated administration can induce the formation of anti-drug antibodies. The ability to identify patients at increased risk for development of anti-drug antibodies would facilitate selection of therapy and use of preventative strategies.This article is freely available via Open Access. Click on Publisher URL to access the full-text

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Are IT Entrepreneurs More Likely Than Non-IT Ones To Reattempt Entrepreneurship After A Failure?

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    Internet and mobile devices have made IT ubiquitous and rapid technology evolution has led to diminishing cost of ownership for IT products. Consequently, entrepreneurs who create IT products and services are viewed with broad interest by investors, researchers, governments, and incubators. This research proposes that IT entrepreneurs need to be distinguished from those in other sectors and studied as a unique typology in any entrepreneurship research and investigates whether IT entrepreneurs are more likely to reattempt entrepreneurship due to the influence of five external factors viz., Funding availability, Opportunity cost, Value of knowledge acquired in failure, and Technology evolution and IT and non-IT entrepreneurs view failure differently. The theoretical rationale for bifurcating entrepreneurs as IT and Non-IT for analysis emerged from a) the recent observation that the top five companies in the US by market capitalization are all IT ventures whereas in 2001 when only one constituted the list, b) rapid growth in the application of ML and AI in all sectors, and c) the observed differences between IT and Non-IT entrepreneurs with respect to the five external factors. We theorize that variations in the external factors may differently influence IT and Non-IT entrepreneurs’ decision to reattempt and/or sentiments about failure. The objective of this thesis is to recommend new policies and modifications to existing ones if IT entrepreneurs are observed to have distinct advantages/disadvantages compared to Non-IT ones.Our mixed method approach included an online quantitative survey that measured the influence of the five factors on a scale and qualitative semi-structured interviews to comprehend the sentiments that led to the responses in the survey. To understand the degree of influence of the five external factors quantitatively, hypothesis testing and regression analysis were adopted whereas a thematic analysis was performed on qualitative data.The evidence from our data indicated that non-IT entrepreneurs viewed venture failures more negatively than did IT ones and surprisingly that the sentiments about Funding availability were identical between IT and non-IT entrepreneurs. However the Opportunity cost, the Value of knowledge acquired, the Stigma of failure, and the Technology evolution were higher in their respective measures for IT entrepreneurs than for non-IT ones. Finally it was shown that IT entrepreneurs were more likely to reattempt entrepreneurship after failure than do Non-IT ones.Based on the findings of this study, we recommend that new policies relating to leasing of capital equipment, job opportunities upon failure, public announcement campaigns to mitigate the Stigma of failure, the creation of specific targeted loan/funding mechanisms, and special training and education be formulated to mitigate the disadvantages that are unique to non-IT entrepreneurs.The findings of this study underline how the typology based research can expose certain characteristics of entrepreneurship that may not be evident otherwise. This study may be unique in juxtaposing IT and Non-IT entrepreneurs through the lens of five external factors. Entrepreneurs have been documented to be heterogeneous and this research lays the foundation for further focused research on IT entrepreneurs especially due to the role played by IT in people’s lives.</div

    Rational approximant structures to decagonal quasicrystals

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    We have shown earlier that the decagonal quasicrystalline phase can be derived by the twinning of the icosahedral cluster about the five-fold axis by 36°. It is shown here that in a similar fashion, the rational approximant structures (RAS) to the decagonal quasicrystal can be constructed by the twinning of RAS to the icosahedral quasicrystalline phase. The twinning of the Mackay (cubic) type RAS leads to the Taylor (q1/p1, q1/p1) phases, while the twinning of the orthorhombic Little phase leads to the Robinson (q1/p1, q2/p2) approximants to the decagonal quasicrystal. With increasing order of q1/p1 or q2/p2, we approach the digonal quasicrystal with one-dimensional quasiperiodicity

    Identification of class specific discourse patterns

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    In this paper we address the problem of extracting important (and unimportant) discourse patterns from call center conversations. Call centers provide dialog based calling-in support for customers to ad-dress their queries, requests and complaints. A Call center is the direct interface between an organization and its customers and it is important to capture the voice-of-customer by gathering insights into the customer experience. We have observed that the calls re-ceived at a call center contain segments within them that follow specific patterns that are typical of the issue being addressed in the call. We present methods to extract such patterns from the calls. We show that by aggregating over a few hundred calls, specific dis-course patterns begin to emerge for each class of calls. Further, we show that such discourse patterns are useful for classifying calls and for identifying parts of the calls that provide insights into cus-tomer behaviour

    Digitizing ECG Signal using 2D Signal Convolution Approach

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    ECG signal printed on a graph paper has been widely used by medical examiners to analyze diseases related to the heart. Medical practitioners rely on historical records to perform diagnosis. Constantly accessing the ECG printed graph paper manually could be time consuming as there are bulk of graph papers for examination. The proposed work aims to convert the printed ECG graph paper into digitized ECG for remote diagnosis. The ECG printed graph paper undergoes conversion into ECG artifact before transforming as digitized ECG. In the initial phase, patient information in the ECG artifact is preserved by encoding into a QR Code. In phase two, preliminary processing is done on ECG artifact for removal of gridline in the background. Image convolution method is proposed as the process for background gridline removal. Then, morphological image processing is implemented to enhance the ECG artifact. In phase three, segmentation process takes place, in which the ECG artifact is divided into segments for separating the waveforms. In the final phase of ECG digitization, the location of the signal is traced for reshaping the ECG artifact as digitized ECG. The accuracy of the ECG digitization is measured through the heart rate that is calculated using our approach and compared with the one on ECG printed graph paper. The average sum of squared error of the heart rate between the ECG printed graph paper and digitized ECG is 0.005618. The digitized ECG can be useful for medical examiners and practitioners in telemedicine where remote diagnosis may be needed
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