bluuebunny/crossref_metadata_2025_split huggingface dataset:
BIM-based performance monitoring for smart building management
Authors: Edirisinghe Ruwini , Woo Jin 
Published: July 2020

Purpose
Effective use of post-occupancy evaluation (POE) data – quantitative physical measurements and qualitative occupants’ perceptions are limited due to practical challenges and research gaps. Although building information modelling (BIM) has enabled a paradigm shift in the architecture, engineering and construction (AEC) industries, its use in facility management (FM) is still infancy. Limited research has used building performance data to enable changes to BIM models for the benefit of FM. This paper aims to propose the innovative process to collect and contextualize two fragmented types of POE data sets by filling methodological gap in POE research. Moreover, it presents innovative modelling techniques to facilitate BIM as a more effective platform to visualize such currently fragmented data sets in real-time while enabling a decision-making model to benefit facility managers.

Design/methodology/approach
The paper presents a process of capturing cloud-based POE data, both wireless sensor network-based physical measurement data and mobile app-based occupant perception data. Real-time capture and visualization of such building performance data was demonstrated through a pilot data collection. Subsequently, the innovative visualization of the cloud connected data is supported by a prototype game engine-based BIM model.

Findings
Cloud-based POE data, both quantitative physical measurements and qualitative occupants’ reported perceptions, can be effectively used in FM practice with the use of innovative data capture and visualization techniques in a beneficial manner for facility operation and management decisions. This paper also demonstrates the ability of BIM to serve as a “single source of truth” to support post-construction building performance data.

Originality/value
While addressing a number of research gaps, the paper provides a holistic approach to BIM-based performance monitoring for smart FM to achieve the ultimate vision of BIM enabled FM. The innovative system is expected to provide a powerful and practical tool for data collection, analysis and visualization for intelligent facility management decision making. This paper contributes to fill an important research and practice gap in the area of next generation smart building management practices.
MHD flow and heat transfer of hybrid nanofluid over a permeable moving surface in the presence of thermal radiation
Authors: Zainal Nurul Amira , Nazar Roslinda , Naganthran Kohilavani , Pop Ioan 
Published: July 2020

Purpose
This paper aims to investigate the flow and heat transfer characteristics of a hybrid nanofluid (Cu-Al2O3/water) in the presence of magnetohydrodynamics and thermal radiation over a permeable moving surface.

Design/methodology/approach
By choosing appropriate similarity variables, the partial differential equations are transformed into a system of linear equations which are solved by using the boundary value problem solver (bvp4c) in MATLAB. The implementation of stability analysis verifies the achievable result of the first solution which is considered stable while the second solution is unstable.

Findings
The findings revealed that the presence of a magnetic field and suction slows down the fluid motion because of the synchronism of the magnetic and electric field occurred from the formation of the Lorentz force. Also, the enhancement of the thermal radiation parameter escalates the heat transfer rate of the current study.

Originality/value
The present study is addressing the problem of MHD flow and heat transfer analysis of a hybrid nanofluid towards a permeable moving surface, with the consideration of the thermal radiation effect. The authors show that in both cases of assisting and opposing flow, there exist dual solutions within a specific range of the moving parameters. A stability analysis approved that only one of the solutions are physically relevant.
Investor protection and market reaction to unusual market activity replies
Authors: Lye Chun-Teck , Ng Tuan-Hock , Lim Kwee-Pheng , Gan Chin-Yee 
Published: July 2020

PurposeThis study uses the unique setting of unusual market activity (UMA) replies to examine the market reaction and the effects of disclosure and investor protection amid information uncertainty.Design/methodology/approachA total of 1527 hand-collected UMA replies from the interlinked stock exchanges of Indonesia, Malaysia, Thailand and Singapore for the period of 2015–2017 were analysed using event study and Heckman two-step methods with market and matched control firm benchmarks.FindingsThe overall results support the uncertain information hypothesis. The UMA replies with new information were also found to reduce information uncertainty, but not information asymmetry, and they are complementary to investor protection in enhancing abnormal returns. The overall finding suggests that the UMA public query system can be an effective market intervention mechanism in improving information certainty and efficiency.Research limitations/implicationsThis study provides insight on the effects of news replies and investor protection on abnormal returns, and support for the uncertain information hypothesis. The finding is useful to policymakers and stock exchanges as they seek to understand how to alleviate investors' anxiety and to create an informationally efficient market. Nevertheless, this study is limited by the extensiveness of the hand-collected UMA replies and also the potential issue of simultaneity-induced endogeneity.Originality/valueThis study uses UMA replies and cross-country data taking into account the effects of market surroundings such as information uncertainty and the level of investor protection on market reaction.
Design principles for transforming making programs into online settings at public libraries
Authors: Kim Soo Hyeon , Choi Gi Woong , Jung Yong Ju 
Published: July 2020

PurposeThis paper aims to investigate design principles for transforming existing making communities of practice within public libraries into online knowledge-building communities to support youths, families with young children and adult members’ making and tinkering during COVID-19.Design/methodology/approachBuilding upon C4P and connected learning framework, the authors analyze existing literature and practitioner reports on informal learning projects related to making and STEM learning, family learning and online learning as well as emergent cases of innovative approaches in response to COVID-19 from public libraries, informal learning institutions and community groups.FindingsThe authors suggest 11 design principles around five areas: program design, facilitation, tools and materials, process documentation and sharing and feedback.Originality/valueThis work contributes to the information and learning sciences concerned with community engagement and knowledge creation by suggesting a design model to transform and sustain existing making communities of practice within public libraries into online knowledge-building communities during COVID-19.
Auditor's report, auditor's size and value relevance of accounting information
Authors: Abdollahi Ahmad , Rezaei Pitenoei Yasser , Safari Gerayli Mehdi 
Published: July 2020

PurposeThe present study sets out to examine the effect of auditor's report and audit firm size on the value relevance of accounting information of the companies listed on the Tehran Stock Exchange during the years 2008–2017.Design/methodology/approachThe study includes a sample of 1,530 firm-year observations drawn from the listed companies, and the research hypotheses were analyzed using multivariate regression model based on panel data.FindingsThe findings reveal that auditor's report and audit firm size are positively and significantly correlated with two indicators of the value relevance of accounting information including value relevance of earnings and book value per share. Also our results exhibit robustness to the alternative measure of auditor's attributes.Research limitations/implicationsAs far as we know, this is the first study to analyze the association between auditor's attributes and value relevance of accounting information in emerging capital markets, thereby generating certain implications for investors, managers, capital market policy makers and audit profession regulators in general and those in emerging markets in particular.Practical implicationsOur findings have implications for policy makers, regulators, managers and investors. Our evidence on the positive association between auditor's size and value relevance of accounting information should help policy makers and regulators which they improve value relevance of accounting information and financial reporting by integrating small audit firms and setting up larger audit firms.Originality/valueA rise in the value relevance of accounting information deserves further attention while drawing investment, selling the stocks of existing firms and increasing investor's decision-making ability. The way how auditor's attributes can promote the value relevance of accounting information is still open to new research.
Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector
Authors: Sharma Mahak , Sehrawat Rajat 
Published: July 2020

PurposeThis study aims to identify the critical factors (barriers and drivers) influencing the adoption of cloud computing (ACC) in the manufacturing sector in India.Design/methodology/approachIn this study, a mixed methodology approach is used. Interviews are conducted to investigate factors (drivers and barriers) influencing the ACC, which are further categorized as controllable determinants (weaknesses and strengths) and uncontrollable determinants (threats and opportunities) using a SWOT analysis. Fuzzy analytic hierarchy process (FAHP) has been utilized to highlight the most critical drivers as well as barriers. Finally, decision-making trial and evaluation laboratory (DEMATEL) has been used to find the cause-effect relationships among factors and their influence on the decision of adoption.FindingsThe manufacturing sector is in the digital and value change transformation phase with Industry 4.0, that is, the next industrial revolution. The 24 critical factors influencing ACC are subdivided into strengths, weaknesses, opportunities and threats. The FAHP analysis ranked time to market, competitive advantage, business agility, data confidentiality and lack of government policy standards as the most critical factors. The cause-effect relationships highlight that time to market is the most significant causal factor, and resistance to technology is the least significant effect factor. The results of the study elucidate that the strengths of ACC are appreciably more than its weaknesses.Research limitations/implicationsThis study couples the technology acceptance model (TAM) with technology-organization-environment (TOE) framework and adds an economic perspective to examine the significant influences of ACC in the Indian manufacturing sector. Further, it contributes to the knowledge of ACC in general and provides valuable insights into interrelationships among factors influencing the decision and strategies of adoption in particular.Originality/valueThis is the first scholarly work in the Indian manufacturing sector that uses the analysis from SWOT and FAHP approach as a base for identifying cause-effect relationships between the critical factors influencing ACC. Further, based on the extant literature and analysis of this work, an adoption framework has been proposed that justifies that ACC is not just a technological challenge but is also an environmental, economic and organizational challenge that includes organizational issues, costs and need for adequate government policies.
Predicting maintenance work hours in maintenance planning
Authors: Khalid Waqas , Albrechtsen Simon Holst , Sigsgaard Kristoffer Vandrup , Mortensen Niels Henrik , Hansen Kasper Barslund , Soleymani Iman 
Published: July 2020

PurposeCurrent industry practices illustrate there is no standard method to estimate the number of hours worked on maintenance activities; instead, industry experts use experience to guess maintenance work hours. There is also a gap in the research literature on maintenance work hour estimation. This paper investigates the use of machine-learning algorithms to predict maintenance work hours and proposes a method that utilizes historical preventive maintenance order data to predict maintenance work hours.Design/methodology/approachThe paper uses the design research methodology utilizing a case study to validate the proposed method.FindingsThe case study analysis confirms that the proposed method is applicable and has the potential to significantly improve work hour prediction accuracy, especially for medium- and long-term work orders. Moreover, the study finds that this method is more accurate and more efficient than conducting estimations based on experience.Practical implicationsThe study has major implications for industrial applications. Maintenance-intensive industries such as oil and gas and chemical industries spend a huge portion of their operational expenditures (OPEX) on maintenance. This research will enable them to accurately predict work hour requirements that will help them to avoid unwanted downtime and costs and improve production planning and scheduling.Originality/valueThe proposed method provides new insights into maintenance theory and possesses a huge potential to improve the current maintenance planning practices in the industry.
Negotiating gatekeepers and positionality in building trust for accessing the urban poor in the Global South
Authors: Lata Lutfun Nahar 
Published: July 2020

PurposeThis paper explores the importance of building trust and rapport with participants using gatekeepers and insider-outsider dynamics in accessing vulnerable research participants in the Global South.Design/methodology/approachThis paper draws data from a qualitative case study conducted in Sattola slum in Dhaka.FindingsFindings suggest that access to participants can be gained through building rapport and trust with participants. A trusting relationship further helps the researcher to explore the processes of social exclusion experienced by the participants.Originality/valueFew studies is published on female researchers building trust with vulnerable research participants negotiating gatekeepers and their subjectivity in the field. The paper contributes original insights into this from fieldwork carried out by a middle-class female researcher in Dhaka. It raises important issues in securing the trust of participants when they are part of disadvantaged, exploited or generally vulnerable populations.
Mapping of scientific production on design thinking as a tool for entrepreneurship education: a bibliometric study of a decade
Authors: Johann Denise Adriana , Nunes Andrieli de Fátima Paz , Santos Geovane Barbosa dos , Silva Deoclécio Junior Cardoso da , Bresciani Sirlene Aparecida Takeda , Lopes Luis Felipe Dias 
Published: July 2020

PurposeDesign thinking (DT) is still a relatively new methodology in the context of entrepreneurial education, which presents itself as an important tool for the development of entrepreneurial skills when inserted into the educational system. This research aimed to analyze studies about DT related to the entrepreneurial mindset in international journals over a period of ten years (2009–2019). Entrepreneurial education has been a constant in academic debates as well as practices and methodologies to apply this education, and such context has moved educational institutions to adopt practices and initiatives focused on the theme.Design/methodology/approachThe tool used in the present study was the bibliometric database of the Web of Science through the words “Design Thinking” (DT) and “Entrepreneurial Education”. The research is characterized as descriptive and quantitative, and 146 publications were investigated in the period from 2009 to 2019, in the respective database.FindingsThe study also highlighted the new generation of young students forcing a change in education with an approach centered on the individual. Speech does not prevail in the teachers but in the students, and the teacher educator starts to collaborate for this new educational demand with didactics relevant to the world in this way preparing these young people and delivering society to critical, proactive and participatory individuals.Originality/valueIn the course of the study, we observed practices and examples of schools and universities that have adapted ways to allow new interactions in the school environment by promoting and encouraging innovative education.
The cyclic lipopeptides suppress the motility of Vibrio alginolyticus via targeting the Na+‐driven flagellar motor component MotX
Authors: Liu Rui , Zheng Rikuan , Liu Ge , Sun Chaomin 
Published: July 2020

SummaryIn our previous study, we found that pumilacidin‐like cyclic lipopeptides (CLPs) derived from marine bacterium Bacillus sp. strain 176 significantly suppressed the mobile capability and virulence of Vibrio alginolyticus. Here, to further disclose the mechanism of CLPs inhibiting the motility of V. alginolyticus, we first applied transcriptomic analysis to V. alginolyticus treated with or without CLPs. The transcriptomic results showed that the expression of several important components of the Na+‐driven flagellar motor closely related to bacterial motility were markedly suppressed, suggesting that the structure and function of Na+‐driven flagellar motor might be disabled by CLPs. The transcriptomic data were further analysed by the protein–protein interaction network, and the results supported that MotX, one of the essential components of Na+‐driven flagellar motor was most likely the action target of CLPs. In combination of gene knockout, electrophoretic mobility shift assay and immunoblotting techniques, CLPs were demonstrated to affect the rotation of flagella of Vibrio alginolyticus via direct interacting with the Na+‐driven flagellar motor component MotX, which eventually inhibited the bacterial motility. Interestingly, homologues of MotX were found broadly distributed and highly conserved in different pathogenic species, which extends the application range of CLPs as an antibacterial drug targeting bacterial motility in many pathogens.
A brief guide for the measurement and interpretation of microbial functional diversity
Authors: Johnson David R. , Pomati Francesco 
Published: July 2020

SummaryThe importance of functional diversity for the functioning and behaviour of microbial communities is clear, yet the widespread incorporation of functional diversity measurements into environmental microbiology study designs remains surprisingly limited. This may, at least to some extent, be a consequence of the unique conceptual and methodological challenges to measuring functional diversity in microbial communities. To facilitate the increased incorporation of functional diversity measurements into environmental microbiology study designs, we review here the process and some key caveats for measuring functional diversity and provide specific examples. We highlight three main decision points and provide guidance to making these decisions based on the underlying mechanisms for how functional diversity relates to an ecosystem process or property of interest. We discuss the selection of an appropriate type of functional trait, selection of the specificity at which functional diversity will be measured, and selection of an appropriate metric for estimating functional diversity from quantitative measures of those traits. We further discuss decisions regarding the use of one‐ or multi‐dimensional measures of functional diversity and how advances in the field of trait‐based community ecology could be applied or adapted to address questions in environmental microbiology.
Simulation‐based enhancement of learning: The case of food safety
Authors: Datta Ashim K. , Ukidwe Mayuri S. , Way David G. 
Published: July 2020

AbstractImportance of online learning has become more critical with the advent of a global pandemic. Effective online learning requires design characteristics that support learning that crosses traditional disciplinary boundaries. The example of educational delivery of food safety encompasses multiple disciplines to prepare students for real‐world situations, practical problem‐solving, and to be “future proof” as food safety becomes more quantitative. This study explicates how six simulation‐based learning modules were evaluated, two each in microbiological growth/inactivation, food process dynamics with microbiological growth/inactivation, and risk assessment. Each group of three modules was targeted to the students in undergraduate food science and engineering programs. Altogether, the 6 modules were implemented and assessed in 17 courses at 14 universities over 5 years. The effectiveness of the module‐based approach was sustained across subject matter (microbiology, process, and risk), disciplines (food science and engineering), and their implementations. Students’ and instructors’ survey responses indicated the modules’ value in real‐world and practical problem‐solving ability. Instructors were also motivated to implement the modules as they saw the potential for improvement in student understanding, how modules reinforced course learning outcomes, the quality of support provided with modules, and their ability to replace existing course assessment without adding work for the instructor or the students. This self‐learning, module‐based approach to introduce interdisciplinary content employed has proven successful. The template for making these modules is described in sufficient detail so future modules can be built for a wide variety of subject matter beyond food safety.
Association of Emergency Department Opioid Administration With Ongoing Opioid Use: A Retrospective Cohort Study of Patients With Back Pain
Authors: Heard Kennon , Ledbetter Caroline M. , Hoppe Jason A. 
Published: July 2020

AbstractObjectivesOpioids are commonly administered in the emergency department (ED) and prescribed for the treatment of back pain. It is important to understand the unintended consequences of this approach to inform treatment decisions and the consideration of alternative treatments. Recent evidence has shown that ED opioid prescriptions are associated with future opioid use. The objective of this study was to measure the association of opioid administration in the ED to patients treated for back pain with future opioid use.MethodsThis is a retrospective study of opioid‐naïve adults discharged from the ED with a diagnosis of back pain. Patients were stratified by opioid therapy (none, ED administration only, prescription only, or ED administration + prescription). Relative risks of ongoing opioid use (filling >90‐day supply in 180 days following ED visit as documented in the prescription drug monitoring program) were calculated for each opioid‐therapy group and compared to the no‐opioid group.ResultsWe identified 24,487 opioid naïve back pain patients. The median age was 38 years, 55% were female, and 56% were non‐Hispanic white. A total of 41% received no opioid, 10% were only administered an opioid in the ED, 18% only received a prescription, and 31% received an opioid in the ED + prescription. The adjusted relative risks of ongoing use compared to the no opioid group were as follows: ED only 1.9, prescription only 2.1, and ED + prescription 2.3. The increased risk persisted for other definitions of ongoing use and after adjustment for baseline pain scores.ConclusionsFor opioid‐naïve patients with back pain, both administration of an opioid in the ED and opioid prescriptions are associated with a doubling of the risk of ongoing opioid use compared to patients not treated with opioids. This supports the consideration of minimizing exposure to opioids while treating back pain in the ED.