bluuebunny/crossref_metadata_2025_split huggingface dataset:
Medium Composition Affects Microbial Corrosion Rates
Authors: Wang Di , Ueki Toshiyuki , Ma Peiyu , Xu Dake , Lovley Derek R. 
Published: April 2024

AbstractDesulfovibrio vulgarisandDesulfovibrio ferrophiluswere previously proposed to have distinct iron corrosion mechanisms becauseD. ferrophiluscorroded faster. However, the chloride concentration in theD. ferrophilus‘marine’ medium was much higher than in theD. vulgaris‘freshwater’ medium.D. vulgariscorrosion rates accelerated with increasing chloride and were faster thanD. ferrophilusin the same marine medium. Differences inD. ferrophiluscorrosion rates in two different media with the same chloride concentration suggested that minor differences in other medium constituents also impact on microbial corrosion. These results demonstrate the importance of considering medium composition in microbial corrosion studies.
Multiplexed in vivo imaging with fluorescence lifetime modulating tags
Authors: Hajji Lina El , Lam France , Avtodeeva Maria , Benaissa Hela , Rampon Christine , Volovitch Michel , Vriz Sophie , Gautier Arnaud 
Published: April 2024

ABSTRACTFluorescence lifetime imaging opens new dimensions for highly multiplexed imaging in live cells and organisms using differences in fluorescence lifetime to distinguish spectrally identical fluorescent probes. Here, we describe a set of fluorescence-activating and absorption-shifting tags (FASTs) capable of modulating the fluorescence lifetime of embedded fluorogenic 4-hydroxybenzylidene rhodanine (HBR) derivatives. We show that changes in the FAST protein sequence can vary the local environment of the chromophore and lead to significant changes in fluorescence lifetime. These fluorescence lifetime modulating tags enabled multiplexed imaging of up to three targets in one spectral channel using a single HBR derivative in live cells and live zebrafish embryo. The combination of fluorescence lifetime multiplexing with spectral multiplexing allowed us to successfully image six targets in live cells, opening great prospects for multicolor fluorescence lifetime multiplexing.
Uncertainty quantification of time-average quantities of chaotic systems using sensitivity-enhanced polynomial chaos expansion
Authors: Kantarakias Kyriakos D. , Papadakis George 
Published: April 2024

We consider the effect of multiple stochastic parameters on the time-average quantities of chaotic systems. We employ the recently proposed sensitivity-enhanced generalized polynomial chaos expansion, se-gPC, to quantify efficiently this effect. se-gPC is an extension of gPC expansion, enriched with the sensitivity of the time-averaged quantities with respect to the stochastic variables. To compute these sensitivities, the adjoint of the shadowing operator is derived in the frequency domain. Coupling the adjoint operator with gPC provides an efficient uncertainty quantification algorithm, which, in its simplest form, has computational cost that is independent of the number of random variables. The method is applied to the Kuramoto-Sivashinsky equation and is found to produce results that match very well with Monte Carlo simulations. The efficiency of the proposed method significantly outperforms sparse-grid approaches, such as Smolyak quadrature. These properties make the method suitable for application to other dynamical systems with many stochastic parameters.

Published by the American Physical Society
2024
Pedagogical relationships in short-term study abroad programmes: exploring the role of consumer identity in collaborative learning among Chinese students in the UK
Authors: Liu Yaqiao , Liang Yifei , Guo Yilan 
Published: April 2024

PurposeThe marketisation of higher education fosters the notion of students as consumers, highlighting the shifting dynamics of student–teacher relationships. This paper aims to contribute to ongoing discussions about students as consumers and their involvement in pedagogical practices. We explore students’ experiences in short-term study abroad (SA) programmes that involve collaborative learning, examining how a consumerism-oriented approach affects students’ perceptions of their pedagogical identities and student–teacher pedagogical relationships.Design/methodology/approachA qualitative exploratory study was conducted to capture students’ rich and subjective perceptions and experiences. The data were gathered through semi-structured interviews with 15 Chinese undergraduate students who participated in a short-term SA programme at a UK university. Following data translation and transcription, a thematic analysis approach facilitated our exploration.FindingsChinese students engage in SA programmes as a strategic investment in personal growth and transformation, with their consumer-oriented identity fostering a mutually beneficial relationship with educators and group members. This consumer mindset appears to enhance active student engagement and, to some extent, create reciprocal student–teacher interactions through power sharing and collaborative involvement.Originality/valueThis study presents empirical data exploring the impact of consumer identity on the dynamics of student–teacher relationships in the SA context. It provides recommendations for implementing pedagogical approaches designed to mediate the influence of consumerism on student engagement, particularly in shaping collaborative student–teacher relationships. This study offers insights for future research on the effects of consumerism in higher education within cross-cultural contexts.
How travel live streaming servicescape affects users' travel intention: evidence from structural equation model and fuzzy-set qualitative comparative analysis
Authors: Ji Siyu , Pu Bo , Sang Wenyuan 
Published: April 2024

PurposeIt is unclear what constitutes the tourism live streaming (TLS) servicescape and how it affects users' travel intention (TI). The study aims to explore the composition of the TLS servicescape, the influence mechanism of the TLS servicescape on users' TI and the formation of users' TI.Design/methodology/approachBased on stimulus organism response theory (SOR), we develop a mediation model to explore the influence of TLS servicescape on users' TI. This study collected data from 432 Chinese TLS users through an online questionnaire, and we used the structural equation model and the SPSS PROCESS macro to test the proposed model. In addition, we tested the variable relationships using fuzzy-set qualitative comparative analysis (fsQCA).FindingsTLS servicescape is a second-order variable that can be categorized into physical element (PE), social element (SOE), symbolic element (SYE) and natural element (NE). TLS servicescape influences TI by affecting social presence (SP) and customer engagement (CE). The fsQCA reveals seven combinations of PE, SOE, SYE, NE, SP and CE that form a high TI for TLS users.Originality/valueUsing multiple data analysis methods, the study emphasizes the significance of the TLS servicescape for TLS. It explores how to evoke users' TI in TLS and provides a reference for TLS marketing.
A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving
Authors: Li Youwei , Qu Jian 
Published: April 2024

PurposeThe purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving multi-task autonomous driving, the authors found that the trained neural network model performs poorly in untrained scenarios. Therefore, the authors proposed to improve the transfer efficiency of the model for new scenarios through transfer learning.Design/methodology/approachFirst, the authors achieved multi-task autonomous driving by training a model combining convolutional neural network and different structured long short-term memory (LSTM) layers. Second, the authors achieved fast transfer of neural network models in new scenarios by cross-model transfer learning. Finally, the authors combined data collection and data labeling to improve the efficiency of deep learning. Furthermore, the authors verified that the model has good robustness through light and shadow test.FindingsThis research achieved road tracking, real-time acceleration–deceleration, obstacle avoidance and left/right sign recognition. The model proposed by the authors (UniBiCLSTM) outperforms the existing models tested with model cars in terms of autonomous driving performance. Furthermore, the CMTL-UniBiCL-RL model trained by the authors through cross-model transfer learning improves the efficiency of model adaptation to new scenarios. Meanwhile, this research proposed an automatic data annotation method, which can save 1/4 of the time for deep learning.Originality/valueThis research provided novel solutions in the achievement of multi-task autonomous driving and neural network model scenario for transfer learning. The experiment was achieved on a single camera with an embedded chip and a scale model car, which is expected to simplify the hardware for autonomous driving.
Paths to BIM-based digital transformation: a bibliometric and systematic review of critical factors
Authors: Diaz Schery Carlos Alejandro , Caiado Rodrigo Goyannes Gusmão , Aguilar Vargas Soraida , Rodriguez Vignon Yiselis 
Published: April 2024

PurposeThe purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation.Design/methodology/approachThis study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study.FindingsBesides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities.Originality/valueThis paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation.
WONK: keeping the edge in the era of artificial intelligence
Authors: Singh Nimisha 
Published: April 2024

Learning outcomes
After completion of the case study, students will learn to use Lean Canvas to identify business opportunity. They will also learn the balancing of exploitation of profit-producing activities and exploring new opportunities according to the environmental dynamism.

Case overview/synopsis
WONK, a tutor discovery and booking app was launched by MyEdge in 2016 to search and book verified tutors in locations served by the company. Based on their requirements, parents and students could sort and book verified tutors in their area. Through the app, users could search for academic and hobby classes in the form of individual tuitions. The ease of use and the service offering made it a popular app with students enrolling every 6 min. Within a span of six years, WONK had provided services to thousands of students in 20+ countries and had 200,000+ tutors registered on their app from 15,000+ pin codes. Despite a plethora of Edtech companies in India, a different business model and services offered gave them an edge over other Edtech companies. To keep up with the customer needs, they were constantly making the upgrades to their technology and expanding their services. Vidhu Goyal, the founder of the company, was enjoying the progress when another development in the technology hit the world. With the launch of applications based on artificial intelligence, will it disrupt the business or not?

Complexity academic level
The case study is recommended to be taught in a 90-min class to Master of Business Administration students. The case study may be used in courses related to strategy, information systems management and entrepreneurship.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 11: Strategy.
Nam Nghi Resort in Phu Quoc
Authors: Vu Anh Dung , Chung Kyunghwa , Lee Ha Kyung 
Published: April 2024

Learning outcomes
This case study provides in-depth, practical knowledge to develop business strategies for the management program. After reading this case study, the students will be able to learn about the challenges and problems that service firms face during a crisis, the drastic changes in the market environment due to a crisis and the analysis tools that can be used when analyzing the shifted market environment. By analyzing this case study, students will be trained for the decision-making that arises in the process of crisis management in the hotel industry.

Case overview/synopsis
Nam Nghi Resort, situated on the picturesque Phu Quoc Island in Vietnam, experienced the tumultuous period of the COVID-19 pandemic. Before the pandemic, Nam Nghi was a thriving five-star resort, deeply rooted in Vietnamese culture and renowned for its luxurious amenities and breathtaking location. However, the onset of COVID-19 brought unprecedented challenges to the hospitality industry, leading to a sharp decline in tourism and revenue. Despite the adversity, Nam Nghi implemented risk management practices successfully and displayed resilience and adaptability. Through rigorous cost minimization, strategic facility upgrades and targeted marketing efforts, Nam Nghi managed to navigate the crisis and gradually rebuild its business as travel restrictions eased. As the industry began to show signs of recovery, the general manager faced new challenges in restoring the resort’s prepandemic vitality. The challenge remained of understanding changing consumer values and market dynamics.

Complexity academic level
This case study can be used as class material for Master of Business Administration (MBA) students. In particular, MBA students in the hospitality industry such as hotels, resorts, travel agencies and restaurants are the target audience.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 12: Tourism and hospitality.
Political relations and trade cooperation of the Belt and Road initiative: research on trade network based on strategic emerging industries
Authors: Wang Xin-Yi , Chen Bo , Hou Na 
Published: April 2024

PurposeThe purpose of this study is to examine the impact of political relations on trade in strategic emerging industries (SEIs) in the Belt and Road initiative (BRI) associated countries. This investigation encompasses not only from the perspective of bilateral political relations but also the political intervention of third parties.Design/methodology/approachThe study employs the temporal exponential random graphmodel to analyze the dynamic structure and influencing factor of SEIs trade network among 150 BRI-associated countries from 2015 to 2020.FindingsThe results indicate that the trade of SEIs in the BRI-associated countries exhibits a pattern of concentrated exporters and decentralized importers. Amicable bilateral political relations foster trade cooperations in SEIs, while political pressure from the United States has the opposite effect. Furthermore, compared with the influence of third parties, the BRI has created a more robust trade environment characterized by political mutual trust.Practical implicationsBRI-associated countries should strengthen their political communication, and endeavor to transform political consensus and shared vision into concrete collaborative projects, while mitigating geopolitical uncertainties through a sound risk evaluation system. Moreover, they should establish a more transparent and consistent consultation mechanism and leverage the BRI trade network to foster balanced and mutually beneficial partnerships that minimize rivalry and dependence on a single market.Originality/valueThis study goes beyond observed trade cost and incorporates the political factor into the determinants of the BRI trade, thereby expanding the theoretical boundaries of existing BRI research. Also, this study employs bilateral trade data to construct SEIs trade networks (SEITNs) along the BRI route. It provides a comprehensive understanding of the dynamic determinates of the SEITNs will provide valuable practical guidance for enhancing and expanding trade and cooperation among BRI-associated countries.
A shallow 2D-CNN network for crack detection in concrete structures
Authors: Honarjoo Ahmad , Darvishan Ehsan 
Published: April 2024

PurposeThis study aims to obtain methods to identify and find the place of damage, which is one of the topics that has always been discussed in structural engineering. The cost of repairing and rehabilitating massive bridges and buildings is very high, highlighting the need to monitor the structures continuously. One way to track the structure's health is to check the cracks in the concrete. Meanwhile, the current methods of concrete crack detection have complex and heavy calculations.Design/methodology/approachThis paper presents a new lightweight architecture based on deep learning for crack classification in concrete structures. The proposed architecture was identified and classified in less time and with higher accuracy than other traditional and valid architectures in crack detection. This paper used a standard dataset to detect two-class and multi-class cracks.FindingsResults show that two images were recognized with 99.53% accuracy based on the proposed method, and multi-class images were classified with 91% accuracy. The low execution time of the proposed architecture compared to other valid architectures in deep learning on the same hardware platform. The use of Adam's optimizer in this research had better performance than other optimizers.Originality/valueThis paper presents a framework based on a lightweight convolutional neural network for nondestructive monitoring of structural health to optimize the calculation costs and reduce execution time in processing.
Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals
Authors: Farooq Usman , Shahzad Khuram , Guan ZhenZhong , Rauf Abdul 
Published: April 2024

PurposeThis study aims to identify the essential elements impacting the adoption of blockchain technology (BCT) in supply chain management (SCM) by integrating the technology acceptance and information system success (ISS) models.Design/methodology/approachQuestionnaire-based data was collected from 236 supply chain professionals from Beijing. The proposed research framework was evaluated using structural equation modeling (SEM) by using SPSS 23 and AMOS 24 software.FindingsThe empirical findings specify the positive influence of total quality on perceived usefulness and compatibility. Further, perceived ease of use positively influences perceived usefulness, compatibility and behavioral intention. Moreover, perceived usefulness positively impacts compatibility and behavioral intention. Compatibility positively influences behavioral intention. Finally, technology trust was found to be a significant moderator between perceived usefulness and behavioral intention and between perceived ease of use and adoption intention to use BCT in SCM.Originality/valueThis study empirically develops the second-order construct of total quality, representing the ISS model. Furthermore, this study established how the ISS and technology acceptance models influence behavioral intention through compatibility. Finally, this study confirmed the moderating role of technology trust among perceived ease of use, perceived usefulness and behavioral intention.
Accounting background and cross-membership effects on investment efficiency in Islamic banks: a study of Islamic Supervisory Board members
Authors: Permatasari Yani , Cahyono Suham , Rizki Amalia , Fitriani Nurul , Kamarudin Khairul Anuar 
Published: April 2024

Purpose
This study aims to examine the joint effect of accounting background and cross-membership of Islamic Supervisory Board (ISB) members on bank investment efficiency.

Design/methodology/approach
This study uses data collected from 36 Islamic banks across 15 countries globally, spanning the period from 2012 to 2021. This research uses an ordinary least squares regression and a comprehensive set of endogeneity and robustness tests.

Findings
The findings show a negative relationship between the accounting background of ISB members and investment efficiency. However, when ISB members with accounting backgrounds also have ISB cross-memberships, the banks exhibit high investment efficiency. These results suggest that ISB cross-membership plays a crucial role in facilitating Islamic banks’ access to timely information on investment opportunities. This enables ISB members with accounting expertise to thoroughly assess the benefits and risks associated with their investment prospects. These findings imply that ISB members with accounting backgrounds and cross-memberships have greater motivation and thoughtful considerations for making better investment decisions. Consequently, Islamic banks are better positioned to undertake high profitable investment projects, which enhance their investment efficiency.

Practical implications
The current study holds immense value for Islamic bank management in their selection of ISB members who possess an accounting background and cross-membership.

Originality/value
This study delves into a comprehensive investigation of the proficiency, underlying principles and unique characteristics exhibited by ISB members with an accounting background. Moreover, this study acknowledges the burgeoning global prominence of Islamic banks.
Impact of corporate disclosure on dividend policy: a novel setting of COVID-19-related disclosure by Vietnamese listed firms
Authors: Hoang Thanh Thi , Nguyen Huu Cuong 
Published: April 2024

Purpose
This study aims to investigate whether the extent of corporate disclosure, proxied by COVID-19-related disclosure, affects the dividend policy of listed firms.

Design/methodology/approach
The study uses a multinomial logistic regression model to examine the relation between corporate disclosure and the dividend policy of the 100 largest market-cap firms in Vietnam in 2021. The COVID-19 pandemic, with its unique impact on business operations, serves as the backdrop for this analysis.

Findings
The findings indicate that firms with more extensive COVID-19-related disclosure are more inclined to distribute dividends in the form of stocks or cash instead of omitting them.

Originality/value
This research contributes to the understanding of how corporate disclosure practices influence a firm’s financial decisions, particularly in the context of the COVID-19 pandemic. The findings hold implications for corporate financial decision-making during times of macroeconomic shock.