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Entrepreneurship education and internationalisation. Cases, collaborations and contexts
No full textEntrepreneurship Education and Internationalisation: Cases, Collaborations and Contexts provides a wide-ranging overview of entrepreneurship education today from a global perspective. Comprising three parts that address teaching and learning, support and outcomes, and strategic themes, international educators and researchers present examples of entrepreneurship education in action within many contexts. Chapters discuss across many academic fields and taught disciplines, involving many industry stakeholders concerning enterprise and business creation and development, and acknowledge policy and policymakers within local, national, and international government or educational forums.
Chapters showcased within this edited book range from collaborative teaching case studies, course teaching styles and assessment strategies, and display links with national or international industry partners. Furthermore, incubation opportunities, examples of accelerator and university start-ups or spinouts, cross-continent partnerships for entrepreneurship, and other relevant enterprising activity between universities and industry or societal groups are also examined and appreciated
Recognition and desire for life in multiple epidemics: COVID-19 and violence against the LGBTI+ community in Favelas in Rio de Janeiro, Brazil
No full textLGBTI+ people living in favelas in Rio de Janeiro (Brazil) have been submitted to several challenges. Since 2020, the COVID-19 pandemic brutally has hit favelas with disproportional number of deaths. This health emergency adds to the long-term ongoing epidemic of violence, particularly police violence, in favelas. We acknowledge that this problem is at least partially a product of unconscious racism with historical roots in colonialism. The LGBTI+ community members from favelas are particularly affected by because they are both special targets of violence and ignored or even excluded from public services and policies. Civil society organizations, such as Grupo Conexão G, responded to COVID-19 with food banks and other welfare actions for LGBTI+ people in favelas—which were nevertheless impacted by police violence. Conexão G then created the Observatório de Violência LGBTI+ em Favelas (Monitoring Centre of LGBTI+ Violence in Favelas), in which both authors of this article worked in different capacities. We analyze a report produced by Observatório that shows the reality of violence against LGBTI+ people in favelas. Although we notice unconscious motifs of racism and hatred against the LGBTI+ community, we also identify resistance to violence as an expression of unconscious desires—now for life, rather than destruction. We highlight the ambivalent position of recognition, which frames the possibility for identification while also justifying protection against destruction. As we see it, though, shelter against precarity (such as exposure to harm from COVID-19 and police violence) is necessary to keep one alive, thus producing life lines or desire for life. We conclude that recognition and desire are keys to respond to the harmful effects of racism, colonialism, and hatred against LGBTI+ people; nevertheless, we also advocate for keeping alert to both established and new forms of destruction that threat the LGBTI+ community
Improved acceptance model: unblocking potential of blockchain in banking space
No full textOver the past ten years, blockchain has
emerged as the new buzzword in the banking sector. The
new technology is being adopted globally in many
industries, including the business sector, because of its
unique uses and features. However, no adoption model is
available to help with this process. This research paper
examines the new technology known as blockchain,
which powers cryptocurrencies like Bitcoin and others.
It looks at what blockchain technology is, how it works
especially in the banking sector, and how it can change
and upend the financial services sector. It outlines the
features of the technology and discusses why these can
have a significant effect on the financial industry as a
whole in areas like identity services, payments, and
settlements in addition to spawning new products based
on things like "smart contracts". The adoption variables
found in the literature study were used to gather, test,
and evaluate the official papers that are currently
available from regulatory organizations, practitioners,
and research bodies. This study was able to classify
adoption factors into three categories—supporting,
impeding, and circumstantial—identify a new adoption
factor, and determine the relative relevance of the
factors. Consequently, an institutional adoption
paradigm for blockchain technology in the banking
sector is put out. In light of this, it is advised to conduct
additional research on using the suggested model at
banks using the new technology in order to assess its
suitability
Time-series forecasting of crude oil production using hybrid modeling
Full text linkCrude oil is the main energy source, and its demand
has been usually growing over years. It has always been an issue
in the petroleum industry to forecast the production of crude oil
to avoid disruption of supplies and keeping the prices of oil and
commodities in control and thereby manage inflation. Hence, it
becomes crucial to predict the production of crude oil. This study
uses time series data to forecast crude oil production. Traditional
statistical Autoregressive Integrated Moving Average (ARIMA).
model and deep learning models like Long Short-Term Memory
(LSTM), Artificial Neural Network (ANN), and Gated Recurrent
Unit (GRU) are used for prediction and comparison. A hybrid
technique is used to develop an ARIMA-ANN model to forecast
crude oil production more accurately
Lines in the sand
Full text linkThis year Standard Collective brings it’s seventh international exhibition to Bolton
Art Gallery. For almost a decade the group has deepened their artistry and friendship via their exhibitions, working in a spirit of close co-operation and lightly
defined boundaries. Their evolving dynamics have generated art projects which
allow for both cohesion and difference.
While planning their first exhibition in 2016 members of Standard met Elmar Brinkmöller, a leading figure of the independent art group Raum für Kunst in Germany.
This meeting led to invitations for the group to exhibit in Paderborn’s Raum für
Kunst Gallery. During the Covid lockdown, digital work was forwarded for exhibition
at the Forum Junger Künstler, Paderborn’s civic gallery.
In ‘Lines in the Sand’ Standard invited the Paderborn artists to share an exhibition
space to explore their experiences of a changing Europe. The title was suggested
as a starting point for visual responses to these changes. The Standard/ Raum für
Kunst relationship was born at the onset of the political upheaval caused by calls
for Britain to leave the European Union. The group considered and produced work
reflecting the immediate impact and ongoing consequences of Brexit, but UK-EU
relations are by no means the only salient issue for this international artistic co-operation. All of Europe has to contend with the rise of various ethno-nationalisms,
calls for cultural conservatism, even claims about the need for increased isolation.
Europe’s lines are being drawn and re-drawn at all levels. Some are abstract, legal
and economic, or military and political: these inevitably connect to changing lines
and contours of private and public feelings, attitudes, and sympathies. The artists
exhibiting here differ in their interpretations of the theme and their modes of
expression, but their sharing of space and commitment to ongoing international
co-operation is a vote of confidence for creative and peaceful resolution
Regression analysis as a metric for sustainability development: validation of Indian Territory
Full text linkThe 2030 Development Agenda styled" Transforming our world The 2030 Agenda for Sustainable Development" was hugged by the transnational locales of the UN General Assembly in 2015. Monitoring the progress of countries towards achieving these pretensions is pivotal for sustainable development. This exploration paper offers an innovative stance toward foretelling the SDG Index of Indian states for the near future times using machine learning ways, logical and visualization tools. The paper focuses on India's sweats towards achieving the SDGs and investigates the factors impacting the SDG performance of individual Indians states . A comprehensive dataset is collected, encompassing a wide range of socio-profitable pointers, demographic data, and environmental criteria applicable to each SDG target. Literal SDG Index scores and corresponding state-specific data are collected to assay and find some trends. The study demonstrates the eventuality of vaticination ways in vaticinating the unborn SDG Index scores of Indian states . The time series graph showcases varying degrees of delicacy across different SDGs , indicating the complexity and diversity of experimental challenges
Entrepreneurial leadership: an approach for crisis
No full textIn the face of recurring crisis and a rapidly changing business landscape, corporate leaders are looking for new ways to address their challenges and ensure long-term sustainability. The most effective leadership style and the critical competencies required for leaders to navigate the complexities of the business environment are yet to be identified. This chapter discusses the importance of effective leadership in today’s turbulent business environment. In addition, this chapter explores how an entrepreneurial leadership style can be effective in difficult situations and how organisations can learn to adopt an entrepreneurial leadership approach to remain competitive. This chapter examines case studies of successful entrepreneurial leadership, reviews relevant literature, and provides practical recommendations for organisations to develop entrepreneurial leadership competencies
Creating a sensor system for safe motor navigation using deep learning and YOLOV5: HOMESWEET
No full text’HOMESWEET’ is a deep learning model created with the YOLO object detection algorithm that has been
trained to detect certain human physical states that could result in road accidents and deaths. The model achieved
an accuracy score of 83% and a Precision rate of over 90% but had a fairly modest Recall rate of just over 70%.
The model can be deployed in various other applications as it was able to detect not only facial cues but other
micro-expressions and gesticulations that lead to the various states; in particular, in this research, it was created
to detect fatigue, drowsiness and lack of total concentration while driving
The use of churn prediction to improve customer retention in grocery e-retailing
No full textAs retailers embrace the online shopping
experience and technology advances, it is now also vital for
retailers to pay attention to customer churn since it has a
detrimental impact on the company's corporate development
and reputation. To mitigate the negative effects of customer
churn on grocery retail businesses, this study will look at how
machine learning and deep learning churn prediction models
are applied, as well as data analytical findings on customer
retention. The implications of customer churn and how it
impacts grocery businesses will be the subject of thorough
research.
Furthermore, an analysis of previously gathered data sets
will reveal significant discoveries, customer preferences, and
behaviours related to Churn.
The study will examine how churn prediction affects a
company's profitability, reputation, and operational efficiency.
Following the study of the dataset, a thorough framework will be suggested with the main goal of proactive churn control, thereby limiting its effects on the overall growth of the company.
This thesis aims to contribute to current efforts to improve
corporate company growth by studying customer behavioural
patterns most associated with churn and then suggesting
solutions to the challenges
Teaching, assessment and best practice in undergraduate psychiatry education in the UK: cross-sectional survey.
Full text linkWe conducted a cross-sectional survey to examine how undergraduate psychiatry is taught and assessed across medical schools in the UK that have at least one cohort of graduated students. In total, 27 medical schools completed the survey. Curriculum coverage of common mental disorders, assessment skills and mental health law was broadly consistent, although exposure to psychiatric subspecialties varied. Significant variation existed regarding the duration of psychiatry placements and availability of enrichment activities. Small-group teaching, lectures and e-learning were the most frequent teaching modalities and various professionals and lived experience educators (patient and/or carers) contributed to teaching. Objective structured clinical examinations and multiple-choice questions dominated assessments. Medical schools should consider increasing students' exposure to different psychiatric subspecialties and integrating physical and mental health training to address comorbidity and promote holistic care. Future research should explore whether specific undergraduate experiences promote greater career interest and skills in psychiatry