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IoMT with deep CNN: AI-based intelligent support system for pandemic diseases
Get PDFThe Internet of Medical Things (IoMT) is an extended version of the Internet of Things
(IoT). It mainly concentrates on the integration of medical things for servicing needy people who
cannot get medical services easily, especially rural area people and aged peoples living alone. The
main objective of this work is to design a real time interactive system for providing medical services
to the needy who do not have a sufficient medical infrastructure. With the help of this system, people
will get medical services at their end with minimal medical infrastructure and less treatment cost.
However, the designed system could be upgraded to address the family of SARs viruses, and for
experimentation, we have taken COVID-19 as a test case. The proposed system comprises of many
modules, such as the user interface, analytics, cloud, etc. The proposed user interface is designed for
interactive data collection. At the initial stage, it collects preliminary medical information, such as the
pulse oxygen rate and RT-PCR results. With the help of a pulse oximeter, they could get the pulse
oxygen level. With the help of swap test kit, they could find COVID-19 positivity. That information
is uploaded as preliminary information to the designed proposed system via the designed UI. If
the system identifies the COVID positivity, it requests that the person upload X-ray/CT images for
ranking the severity of the disease. The system is designed for multi-model data. Hence, it can
deal with X-ray, CT images, and textual data (RT-PCR results). Once X-ray/CT images are collected
via the designed UI, those images are forwarded to the designed AI module for analytics. The
proposed AI system is designed for multi-disease classification. It classifies the patients affected
with COVID-19 or pneumonia or any other viral infection. It also measures the intensity level of
lung infection for providing suitable treatment to the patients. Numerous deep convolution neural
network (DCNN) architectures are available for medical image classification. We used ResNet-50,
ResNet-100, ResNet-101, VGG 16, and VGG 19 for better classification. From the experimentation, it
observed that ResNet101 and VGG 19 outperform, with an accuracy of 97% for CT images. ResNet101
outperforms with an accuracy of 98% for X-ray images. For obtaining enhanced accuracy, we used a
major voting classifier. It combines all the classifiers result and presents the majority voted one. It
results in reduced classifier bias. Finally, the proposed system presents an automatic test summary
report textually. It can be accessed via user-friendly graphical user interface (GUI). It results in a
reduced report generation time and individual bia
A collaborative approach to developing social entrepreneurial skills
No full textReport commissioned by Quality Assurance Agency for Higher Educatio
A comparative recognition research on excretory organism in medical applications using artificial neural networks
Get PDFPurpose: In the contemporary era, a significant number of individuals encounter
various health issues, including digestive system ailments, even during their
advanced years. The major purpose of this study is based on certain
observations that are made in internal digestive systems in order to prevent
severe cause that usually occurs in elderly people.
Approach: To solve the purpose of the proposed method the proposed system is
introduced with advanced features and parametric monitoring system that are
based on wireless sensor setups. The parametric monitoring system is integrated
with neural network where certain control actions are taken to prevent
gastrointestinal activities at reduced data loss.
Results: The outcome of the combined process is examined based on four
different cases that is designed based on analytical model where control
parameters and weight establishments are also determined. As the internal
digestive system is monitored the data loss that is present with wireless sensor
network must be reduced and proposed approach prevents such data loss with an
optimized value of 1.39%.
Conclusion: Parametric cases were conducted to evaluate the efficacy of neural
networks. The findings indicate a significantly higher effectiveness rate of
approximately 68% when compared to the control cases
COVID-19 in the UK: sentiment and emotion analysis of tweets over time
No full textWe performed an analysis of tweets concerning the COVID-19 pandemic in the UK over a two-year period, selecting fifteen timelines. Over
110,000 tweets were obtained from Twitter and analysed using BERT
and Text2Emotions for sentiment and emotion analysis, respectively. The
most common emotions expressed on Twitter about COVID-19 in the
UK appeared to be surprise and fear. This is not unusual, given the
unprecedented nature of the pandemic. However, as time passed, there
was a notable shift in sentiment towards other emotions, such as sadness and happiness. Moreover, more positive than negative sentiments
were observed over the fifteen timelines studied: eight positive sentiments
to seven negative ones. Further, results indicated that confirmed cases,
deaths, and government policy heavily influenced public sentiment. This
study sheds light on the collective state of mind surrounding the pandemic and provides insight into how people reacted emotionally over
time to COVID-19. The results provide valuable insights for policymakers and other stakeholders looking to understand how people respond
in times of crisis. Furthermore, it illustrates how sentiment analysis can
be used effectively to gain deeper insights into public perception over
time. As such, this study is a valuable contribution to understanding the human emotional response, demonstrating how sentiment and emotion
can be used to better comprehend a situation and react accordingly
The Games Realising Effective & Affective Transformation (GREAT) Project – A pathway to sustainable impact on climate change policy
Get PDFIn this paper the authors introduce the Games Realising Effective and Affective Transformation (GREAT) research project. This EU funded intervention posits the application of digital games, game making and games technologies, as a realisable sustainable solution to actively engage citizens in meaningful dialogue with governments to address the global challenge of climate change.
The primary objective of the intervention is to facilitate citizens by using emergent technologies, to provide input into developing national and international policy priorities to address the challenges presented by global climate change, technologies that are both available and accessible.
The GREAT project commenced on 01 February 2023 and brings together leading scientists in academia and the games industry in a single programme of research and innovation. The Project aims to establish new forms of social engagement and encourage meaningful dialogue between citizens and senior policy stakeholders (policy makers, policy implementers, political parties, and affected citizens)
LEAP Online : the wheel keeps on turning
No full textUnderpinned by the LEAP (Learning Excellence Achievement Pathway) framework
and awarded the Digital Literacy Award at LILAC in 2018, LEAP Online continues to
evolve and support students with their academic and personal development at the
University of Bolton.
This presentation will reflect on the journey so far, specifically focusing on how LEAP
Online has evolved since its implementation in 2017 and its role in the coordinated
approach to blended learning, information literacy and student retention and success
at the University of Bolton.
The presentation will emphasise on key developments of LEAP Online, namely the
newly created Academic Writing Tutorial - an interactive module that incorporates
innovative learning technology to support students with all aspects of the academic
writing process.
Additionally, we will then focus on ‘LEAP Live’. Launched in September 2022, following
a successful pilot in the previous academic year, LEAP Live is an extension of LEAP
Online and offers University of Bolton and off-campus partner students, the opportunity
to attend a series of in-person and/or remote workshops, sessions and events, all of
which are designed to complement the work we undertake in the digital world and
support students with their academic and personal development. The presentation will
consider some of the challenges associated with its launch, including the collaboration
between professional and academic services to facilitate the programme.
While LEAP Online offers students the opportunity to explore skills and competencies
that will help them to develop their academic and personal practices, LEAP Online
badges are also awarded to students who complete modules. Quantitative data from
badged assessments demonstrates over 121,000 badges have been awarded since
2017. This, together with qualitative feedback from both staff and students indicates
that LEAP Online remains firmly embedded in the student journey and the University’s
learning and teaching strategy. We continue to take pride in its success, and following
an initial evaluation, we are also optimistic that LEAP Live will have the same impact
Homelessness: partnerships and approaches to tackling complex needs
Get PDFPurpose – This paper – the first of three – aims to explore some of the complex physical and mental
health needs of those experiencing homelessness. It will act as a leader to the other articles by
establishing the nature of the problem and offer a rationale for carrying out a service user needs
assessment as part of a review of local service provision in the North West of England against the
backdrop of the current COVID-19 epidemic.
Design/methodology/approach – There are a number of complex social and health inequalities often
experienced by those who are homeless. Effectively tackling these requires a co-ordinated multi-agency
response to both prevent and tackle the harms associated with being and becoming homeless.
Findings – Partnership working offers the best opportunity to meet the complex needs of those
experiencing homelessness. The current delivery model being actioned in the North West of England
highlights the importance of the links between statutory and non-statutory services. An ongoing service
user needs assessment will further help to highlight contemporary issues faced by those experiencing
homelessness and those providing services in the context of the COVID-19 epidemic.
Social implications – Future papers as part of this series of three will consider the implications of social
exclusion and barriers to accessing services faced on a day-to-day basis by those experiencing
homelessness.
Originality/value – The opportunity to reflect on established views in relation to the nature and scope of
homelessness. It will consider the implications exclusion from society and service provision that this
group face on a day-to-day basis. The paper will describe a contemporary approach to tackling current
issues faced by those experiencing homelessness in the current context of the COVID-19 epidemi
“It takes a village”: A qualitative study exploring midwives’ and student midwives’ experience of the new Standards for Student Supervision and Assessment (SSSA) in practice.
Get PDFObjective
To explore students’ and midwives’ preparation and experiences of supervision and assessment in practice using the new Standards for Student Supervision and Assessment (SSSA).
Design
An exploratory qualitative study was undertaken. Student midwives and registered midwives were invited to participate using online recruitment strategies across closed groups. Participants were required to complete either an open-ended questionnaire or participate in an in-depth interview. The demographics and background data were presented in a descriptive format and qualitative data was analysed thematically.
Setting and participants
Twenty-two student midwives and thirteen registered midwives from across the United Kingdom that had experience using the new Standards for Student Supervision and Assessment were recruited for this study.
Findings
The thematic analysis identified three key themes: ‘Thrown in the deep end’ where a lack of preparation, training, time, resources, and communication were identified. ‘A double-edged sword’ in which staff and students identified the benefits of working with different professionals whilst acknowledging the significant challenges they faced without the student-midwife relationship and lack of supervisor continuity. ‘A daily struggle’ was expressed due to burnout which many students faced. Overall, one overarching theme that threaded itself through the narrative was that ‘it takes a village’ to create competent and confident midwives.
Key conclusions and implications for practice
This study highlights some of the benefits students and midwives experience using the new standards but they are marred with significant challenges which need to be addressed to protect the future workforce and the public. There needs to be a more collaborative effort to ensure that midwives have the right resources, training, and protected time to fulfil their roles as supervisors and assessors. The student journey across placement needs to be mapped out carefully to ensure that an element of continuity that builds a student-midwife relationship is maintained. This will alleviate the impact on student learning, confidence, and burnout
Challenges for the adoption of industry 4.0 in the sustainable manufacturing supply chain
Get PDFThis book chapter explores the challenges associated with adopting Industry 4.0 technologies
in the context of achieving a sustainable manufacturing supply chain. The chapter highlights both general
and technology-specific hurdles that organizations encounter when implementing Industry 4.0, such as
dealing with data accumulation and compatibility issues with legacy systems, data management
complexities, data protection, privacy and cyber attack risks, cost considerations, and workforce upskilling
and transition. The chapter emphasizes the importance of addressing these challenges to enable the effective
incorporation of Industry 4.0 technologies for sustainability goals. It provides insights and recommendations
for mitigating these challenges, including prioritizing sustainability considerations during technology
selection and implementation, emphasizing energy efficiency and environmental impact assessments in
technology design and deployment, incorporating ethical frameworks and guidelines for data usage,
privacy, and fairness in AI and IoT systems, encouraging collaboration among stakeholders to develop
industry standards and best practices for sustainable technology adoption, among a few others. By
proactively addressing these challenges, organizations can leverage the transformative potential of
Industry 4.0 while driving sustainability in their manufacturing supply chain
Inclusion of higher education disabled students: a Q-methodology study of lecturers’ attitudes
No full textThis UK Q-Methodology study combining quantitative and qualitative techniques explores lecturers’ attitudes toward disability and inclusion of disabled higher education students. Disabled students are among those likelier to withdraw from university and have lower degree outcomes. One potential barrier impacting disabled students’ is lecturers’ attitudes and self-efficacy. Using Qmethod software, thirty-one lecturers sorted forty-five statements describing the spectrum of attitudes toward disability and inclusion and provided optional post-sort survey and interview data. Two stances about inclusion emerged from factor analysis and interpretation: cautiously committed with concerns and confidently committed with concerns. Both groups are committed to inclusion of disabled students. However, the majority group is more cautious and concerned about their expertise. The second group is more ableism aware and confident about implementing inclusion but shares group one’s concerns about training needs. Recommendations include further research and training on disability awareness and anti-ableist pedagogies plus allocation of time and resources