An investigation of barriers and enablers to energy efficiency retrofitting of social housing in London

Carbon emissions, being hazardous, are triggering social concerns which have led to the creation of international treaties to address climate change. Similarly, the United Kingdom under the Climate Change Act (2008) has committed to reducing its greenhouse gas emission by at least 80% over 1990 levels by 2050.  However, being the oldest member of the EU states (before Brexit), the UK has the oldest housing stock, which contributes to 45% of its carbon emissions due to the older dwellings. To address this issue low carbon retrofitting is needed. Therefore, this paper seeks to investigate the barriers and enablers to energy efficiency retrofitting in social housing in London, UK based on the perception of experts employed in National and construction companies with an experience that ranges between 6 to 16 years. Initial literature suggested that the problem of energy efficiency retrofitting in the general building stock has been addressed, however little has been reported on its application to social housing. This paper, therefore, groups the barriers and enablers into seven categories that include: financial matters, Technical, IT, Government policy and regulation, social factors (including awareness of the energy efficiency agenda), quality of workmanship and disruption to residents, using literature review, interviews and surveys with key stakeholders within the housing sector, and draws recommendations to enable effective and efficient retrofitting for social housing projects.&nbsp

Faculty perception of online education: considerations for the post-pandemic world

In the post-COVID era, academic institutions adapted curricula, utilizing aspects of the online delivery in full or partially. Consequently, this research focuses on identifying the factors that influence faculty perceptions of effective online delivery in higher education and comparing them with students’ perceptions. The study involves semi-structured interviews with 15 faculty members at a renowned university to gain insights into their online teaching experiences during the pandemic. Additionally, 51 faculty members participated in a survey using the Relative Importance Index (RII) method to determine the most significant practices impacting online delivery. The results indicate that the most concerning factor for faculty during online delivery is facilitating students’ engagement and interactions in class, with an RII of 0.94. Controlling academic dishonesty during assessments receives a relatively lower concern with an RII of 0.67. Making lectures interactive is identified as the most challenging practice for faculty. Comparing the findings with students’ perceptions based on previous studies, both groups emphasize the significance of effective communication, interaction, and the use of technology. Faculty prioritize the delivery and organization of lectures, while students focus on engagement and interactive elements. Faculty value organization and relevance in assignments, while students emphasize instructor qualities and responsiveness

A multi-attribute utility decision support tool for a smart campus—UAE as a case study

The advancement in technologies in the education sector has improved living standards and acts as a sustaining factor for future development. Recently, the integration of technologies into the campus to transform it into a Smart Campus has experienced exponential growth in interest from researchers. Though various definitions of the concept of ‘Smart Campus’ have been proposed, the integration of the end users’ perception is always lacking in the concept. This study, therefore, intends to build on the theory to classify the most significant criteria that underpin the ‘Smart Campus’ by considering the institute’s stakeholders’ perceptions. A multi-step methodological approach is adopted to develop a decision support tool that allows the decision makers to invest in the optimum solution to transform a traditional campus into a smart campus. The study initially looks into the criteria and sub-criteria from the literature that defines a ‘Smart Campus’. Secondly, a survey was conducted by targeting a sample of students, faculty, administrative staff, and IT support personnel from a leading institute in the UAE region as a single case study. Thirdly, an AHP analysis was performed among different stakeholders. The findings suggested that there exists a consensus among the perception of a diverse group of participants who perceive smart security and safety, campus navigation, and adaptive learning as the most important criteria and applications to transform the traditional campus into a smart campus. Finally, the decision support tool development on the Utility function model allows the decision makers, i.e., Network Managers, IT Managers, Systems and Cloud Managers, and Senior Managers from the Finance departments, to make informed and strategic decisions in terms of the optimum solution for the transformation from a traditional campus to a smart campus

A Comparative Study of Energy Performance in Educational Buildings in the UAE

Sustainability has gained popularity and importance around the globe due to the ever-increasing effects of climate change and global warming on Earth. As of the 21st century, human endeavour has caused an enormous amount of damage to the environmental ecological system. Among which, one of the major contributors to the increase in the environmental issues and CO2 emissions are the conventional sources of energy, especially in the built environment. Globally, the built environment accounts for 12 percent of the world’s drinkable water, 40 percent of energy wastage and 35 percent of scarce natural resources, which in turn produces 40 percent of the total global carbon emission. Among which are educational buildings which tend to be a major contributor (as most of these facilities are old and conventionally built in the mid-1900s) Thus, with the education sector being an essential part of society, it becomes important to determine the energy performance and carbon footprint of these buildings. The United Arab Emirates (UAE) vision 2021 highlights the country's approach to the importance of providing the best education and adopting sustainable environmental infrastructure. Therefore, this study adopts a methodological approach based on semi-structured interviews and surveys, in order to compare the energy performance of three educational buildings within Higher Education establishments in the UAE as a case study. The study also evaluates the end user’s awareness of the importance of sustainable practices in the buildings and their preference for these buildings. The findings of this study conclude that Net Zero Energy Buildings (NZEBs) are the most efficient buildings in terms of energy performance, carbon consumption and heat generated. Therefore, it is important that the integration of these types of buildings is considered in educational establishments

A Socio-cultural Perspective to BIM Adoption: A Case Study in South Africa

The implementation of BIM in construction organisations requires various strategic and change management processes. The effect of organisational culture, manifested through external survival issues, internal integration issues and underlying assumptions, on BIM adoption are absent in the literature. This paper aims to illustrate that a focus on these three level of cultural manifestation within AEC organisations could lead to improved analysis of BIM adoption. An architectural organisation based in South Africa is used as a case study. A mixed method of data collection was adopted to analyse BIM’s manifestation in an architectural organisation’s culture. Interviews were conducted with key members in the organisation, and survey data of 29 respondents was used to triangulate and develop consensus about the underlying assumptions relating to BIM. The results showed how each of the three levels of cultural manifestation is influencing BIM adoption. In particular, the findings revealed that leaders’ perceptions greatly impact the adoption of BIM through the three levels of the organisational culture

An Investigation into Stakeholders’ Perception of Smart Campus Criteria: The American University of Sharjah as a Case Study

In recent times, smart cities and sustainable development have drawn significant research attention. Among developed and developing countries, the United Arab Emirates (UAE) has been at the forefront in becoming an incubator for smart cities; in particular, it has placed some efforts in the education sector by transforming the traditional campus into a Smart Campus. As the term Smart Campus attracts professionals and academics from multiple disciplines, and the technology keeps intervening in every aspect of life, it becomes inevitable for the Smart Campus to take place and deploy the future vision of smart cities. As a first step to achieve this vision, it is very important to develop a clear understanding of what is a Smart Campus. To date, there is still no clear perception of what a Smart Campus would look like, or what are the main components that can form a Smart Campus. Therefore, the objective of this research is to use the set of comprehensive criteria to identify what it is perceived to be a Smart Campus and evaluate these criteria from the stakeholders’ perception. The main criteria are defined from the literature review, and a case study is conducted on the American University of Sharjah campus stakeholders (faculty, students, management, and Information Technology (IT)) to assess the designated criteria. This exploratory research relies on both qualitative and quantitative methods to perform the analysis, taking into consideration the perceptions of students, faculty, and IT service providers. Finally, having defined and evaluated the criteria that underpin the Smart Campus framework, a set of recommendations are drawn to guide the utilization of a Smart Campus within higher education settings. This research opens the doors for future studies to gain a deeper insight into the type of decisions that need to be made to transform a traditional campus to a Smart Campus

The Genotype-Tissue Expression (GTEx) project

Genome-wide association studies have identified thousands of loci for common diseases, but, for the majority of these, the mechanisms underlying disease susceptibility remain unknown. Most associated variants are not correlated with protein-coding changes, suggesting that polymorphisms in regulatory regions probably contribute to many disease phenotypes. Here we describe the Genotype-Tissue Expression (GTEx) project, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues

Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease

Long non-coding RNA (lncRNA) genes have well-established and important impacts on molecular and cellular functions. However, among the thousands of lncRNA genes, it is still a major challenge to identify the subset with disease or trait relevance. To systematically characterize these lncRNA genes, we used Genotype Tissue Expression (GTEx) project v8 genetic and multi-tissue transcriptomic data to profile the expression, genetic regulation, cellular contexts, and trait associations of 14,100 lncRNA genes across 49 tissues for 101 distinct complex genetic traits. Using these approaches, we identified 1,432 lncRNA gene-trait associations, 800 of which were not explained by stronger effects of neighboring protein-coding genes. This included associations between lncRNA quantitative trait loci and inflammatory bowel disease, type 1 and type 2 diabetes, and coronary artery disease, as well as rare variant associations to body mass index.[Display omitted]•29% of lncRNA genes with eQTLs show tissue-specific genetic regulation•Co-expression networks and single-cell data provide annotations for 94% of lncRNAs•Rare variants near lncRNA expression outliers impact complex traits, like BMI•We identify 800 lncRNA-trait relationships not explained by protein-coding genesA systematic analysis of NIH Genotype Tissue Expression (GTEx) project data provides insights into lncRNA expression patterns and functions, explores the impact of genetic variation on lncRNAs, and connects lncRNAs to complex traits and human disease