scholarly journals Microbrewing and Entrepreneurship

2015 ◽  
Vol 16 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Mike Danson ◽  
Laura Galloway ◽  
Ignazio Cabras ◽  
Tina Beatty
Keyword(s):  
Qualitative Study ◽  
Two Stage ◽  
Local Economies ◽  
Second Stage ◽  
The Uk

This paper reports on an exploratory two-stage study of microbreweries in the UK. The first stage comprises an analysis of data from the Small Independent Breweries Association to offer an aggregate picture of the sector. The second stage reports on a qualitative study of the experiences of 14 microbreweries. The findings from the fieldwork show that the UK microbrewing sector is growing, that competitiveness within the brewing establishment is based on artisan manufacture, provenance and diversity rather than price, and that the sector is contestable but operates as a competitive fringe within the greater industry. The study illustrates that microbreweries can contribute to local economies and that, because of the innovation, diversity and growth in the sector, entrepreneurship is in evidence. While saturation seems a threat, the evidence presented here suggests that UK microbrewing is a healthy sector, with the prospect of ongoing growth and contribution.

An Enhanced Two Stage MMSE Equalizer for Coded FBMC/OQAM Systems

2019 ◽  
Vol 10 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Mohammad Rizk Assaf ◽  
Abdel-Nasser Assimi
Keyword(s):  
Error Propagation ◽  
Channel Model ◽  
Error Correcting Codes ◽  
Two Stage ◽  
Probability Of Error ◽  
Second Stage ◽  
Different Types ◽  
Mmse Equalizer ◽  
And Performance ◽  
Ici Cancellation

In this article, the authors investigate the enhanced two stage MMSE (TS-MMSE) equalizer in bit-interleaved coded FBMC/OQAM system which gives a tradeoff between complexity and performance, since error correcting codes limits error propagation, so this allows the equalizer to remove not only ICI but also ISI in the second stage. The proposed equalizer has shown less design complexity compared to the other MMSE equalizers. The obtained results show that the probability of error is improved where SNR gain reaches 2 dB measured at BER compared with ICI cancellation for different types of modulation schemes and ITU Vehicular B channel model. Some simulation results are provided to illustrate the effectiveness of the proposed equalizer.

scholarly journals Impact of COVID-19 pandemic social restriction measures on people with rheumatic and musculoskeletal diseases in the UK: a mixed-methods study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e048772
Author(s):  
Toby O Smith ◽  
Pippa Belderson ◽  
Jack R Dainty ◽  
Linda Birt ◽  
Karen Durrant ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Qualitative Study ◽  
Online Survey ◽  
Musculoskeletal Diseases ◽  
Community Dwelling ◽  
Secondary Outcome ◽  
Healthcare Provision ◽  
Social Restriction ◽  
The Uk ◽  
The Impact

ObjectivesTo determine the impact of COVID-19 pandemic social restriction measures on people with rheumatic and musculoskeletal diseases (RMDs) and to explore how people adapted to these measures over time.DesignMixed-methods investigation comprising a national online longitudinal survey and embedded qualitative study.SettingUK online survey and interviews with community-dwelling individuals in the East of England.ParticipantsPeople in the UK with RMDs were invited to participate in an online survey. A subsection of respondents were invited to participate in the embedded qualitative study.Primary and secondary outcome measuresThe online survey, completed fortnightly over 10 weeks from April 2020 to August 2020, investigated changes in symptoms, social isolation and loneliness, resilience and optimism. Qualitative interviews were undertaken assessing participant’s perspectives on changes in symptoms, exercising, managing instrumental tasks such a shopping, medication and treatment regimens and how they experienced changes in their social networks.Results703 people with RMDs completed the online survey. These people frequently reported a deterioration in symptoms as a result of COVID-19 pandemic social restrictions (52% reported increase vs 6% reported a decrease). This was significantly worse for those aged 18–60 years compared with older participants (p=0.017). The qualitative findings from 26 individuals with RMDs suggest that the greatest change in daily life was experienced by those in employment. Although some retired people reported reduced opportunity for exercise outside their homes, they did not face the many competing demands experienced by employed people and people with children at home.ConclusionsPeople with RMDs reported a deterioration in symptoms when COVID-19 pandemic social restriction measures were enforced. This was worse for working-aged people. Consideration of this at-risk group, specifically for the promotion of physical activity, changing home-working practices and awareness of healthcare provision is important, as social restrictions continue in the UK.

Personalised attraction recommendation for enhancing topic diversity and accuracy

2021 ◽  
pp. 016555152199980
Author(s):  
Yuanyuan Lin ◽  
Chao Huang ◽  
Wei Yao ◽  
Yifei Shao
Keyword(s):  
Real World ◽  
Information Overload ◽  
Two Stage ◽  
Misclassification Cost ◽  
Second Stage ◽  
Low Visibility ◽  
Recommendation Diversity ◽  
Optimisation Model ◽  
Definition Of ◽  
Improved Methods

Attraction recommendation plays an important role in tourism, such as solving information overload problems and recommending proper attractions to users. Currently, most recommendation methods are dedicated to improving the accuracy of recommendations. However, recommendation methods only focusing on accuracy tend to recommend popular items that are often purchased by users, which results in a lack of diversity and low visibility of non-popular items. Hence, many studies have suggested the importance of recommendation diversity and proposed improved methods, but there is room for improvement. First, the definition of diversity for different items requires consideration for domain characteristics. Second, the existing algorithms for improving diversity sacrifice the accuracy of recommendations. Therefore, the article utilises the topic ‘features of attractions’ to define the calculation method of recommendation diversity. We developed a two-stage optimisation model to enhance recommendation diversity while maintaining the accuracy of recommendations. In the first stage, an optimisation model considering topic diversity is proposed to increase recommendation diversity and generate candidate attractions. In the second stage, we propose a minimisation misclassification cost optimisation model to balance recommendation diversity and accuracy. To assess the performance of the proposed method, experiments are conducted with real-world travel data. The results indicate that the proposed two-stage optimisation model can significantly improve the diversity and accuracy of recommendations.

scholarly journals Two-stage multi-tasking transform framework for large-scale many-objective optimization problems

2021 ◽  
Author(s):  
Lu Chen ◽  
Handing Wang ◽  
Wenping Ma
Keyword(s):  
Large Scale ◽  
Original Problem ◽  
Optimization Problems ◽  
Reference Points ◽  
Optimization Strategy ◽  
Two Stage ◽  
Decision Space ◽  
Second Stage ◽  
Decision Variables ◽  
Objective Space

AbstractReal-world optimization applications in complex systems always contain multiple factors to be optimized, which can be formulated as multi-objective optimization problems. These problems have been solved by many evolutionary algorithms like MOEA/D, NSGA-III, and KnEA. However, when the numbers of decision variables and objectives increase, the computation costs of those mentioned algorithms will be unaffordable. To reduce such high computation cost on large-scale many-objective optimization problems, we proposed a two-stage framework. The first stage of the proposed algorithm combines with a multi-tasking optimization strategy and a bi-directional search strategy, where the original problem is reformulated as a multi-tasking optimization problem in the decision space to enhance the convergence. To improve the diversity, in the second stage, the proposed algorithm applies multi-tasking optimization to a number of sub-problems based on reference points in the objective space. In this paper, to show the effectiveness of the proposed algorithm, we test the algorithm on the DTLZ and LSMOP problems and compare it with existing algorithms, and it outperforms other compared algorithms in most cases and shows disadvantage on both convergence and diversity.

scholarly journals Identifying Risk Factors Affecting the Usage of Digital and Social Media: A Preliminary Qualitative Study in the Dental Profession and Dental Education

2021 ◽  
Vol 9 (5) ◽  
pp. 53
Author(s):  
Rayan Sharka ◽  
Jonathan P. San Diego ◽  
Melanie Nasseripour ◽  
Avijit Banerjee
Keyword(s):  
Risk Factors ◽  
Qualitative Study ◽  
Perceived Risk ◽  
Dental Education ◽  
Dental Students ◽  
General Context ◽  
Structured Interviews ◽  
Factors Affecting ◽  
The Uk ◽  
Dental Professionals

Aims: This study aimed to identify the risk factors of using DSM to provide an insight into the inherent implications this has on dental professionals in practice and trainee professionals’ education. Materials and methods: Twenty-one participants (10 dental professionals and 11 undergraduate and postgraduate dental students) participated in this qualitative study using semi-structured interviews in a dental school in the UK. The interviews were analysed and categorised into themes, some of which were identified from previous literature (e.g., privacy and psychological risks) and others emerged from the data (e.g., deceptive and misleading information). Results: The thematic analysis of interview transcripts identified nine perceived risk themes. Three themes were associated with the use of DSM in the general context, and six themes were related to the use of DSM in professional and education context. Conclusions: This study provided evidence to understand the risk factors of using DSM in dental education and the profession, but the magnitude of these risks on the uptake and usefulness of DSM needs to be assessed.

scholarly journals EXPRESS: Unlearning and Consent in the UK Fire and Rescue Service

2021 ◽  
pp. 001872672110311
Author(s):  
James Brooks ◽  
Irena Grugulis ◽  
Hugh Cook
Keyword(s):  
Qualitative Study ◽  
Social Aspects ◽  
Successful Implementation ◽  
Human System ◽  
Rescue Service ◽  
Rescue Services ◽  
The People ◽  
The Social ◽  
New Knowledge ◽  
The Uk

Why does so much literature on unlearning ignore the people who do the unlearning? What would we understand differently if we focused on those people? Much of the existing literature argues that unlearning can only be achieved, and new knowledge acquired, if old knowledge is discarded: the clean slate approach. This might be a reasonable way of organising stock in a warehouse, where room needs to be created for new deliveries, but it is not an accurate description of a human system. This article draws on a detailed qualitative study of learning in the UK Fire and Rescue Services to challenge the clean slate approach and demonstrate that, not only did firefighters retain their old knowledge, they used it as a benchmark to assess new routines and practices. This meant that firefighters’ trust in, and consent to, innovation was key to successful implementation. In order to understand the social aspects of unlearning, this research focuses on the people involved as active agents, rather than passive recipients or discarders of knowledge.

Discussing Prognosis in COPD: Findings from a Qualitative Study with Clinicians in the UK.

2009 ◽  
Author(s):  
D Halpin ◽  
C Gardiner ◽  
M Gott ◽  
S Barnes ◽  
S Payne ◽  
...  
Keyword(s):  
Qualitative Study ◽  
The Uk

The Summer Match: A Qualitative Study Exploring a Two‐Stage Residency Match Option

2021 ◽  
Author(s):  
Michael Dacre ◽  
Laura R. Hopson ◽  
Jeremy Branzetti ◽  
Linda Regan ◽  
Stefanie S. Sebok‐Syer ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Two Stage ◽  
Residency Match
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