bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a new deep learning CNN model to detect and classify highway cracks
Authors: Elghaish Faris , Talebi Saeed , Abdellatef Essam , Matarneh Sandra T. , Hosseini M. Reza , Wu Song , Mayouf Mohammad , Hajirasouli Aso , Nguyen The-Quan 
Published: August 2021

Purpose
This paper aims to Test the capabilities/accuracies of four deep learning pre trained convolutional neural network (CNN) models to detect and classify types of highway cracks, as well as developing a new CNN model to maximize the accuracy at different learning rates.

Design/methodology/approach
A sample of 4,663 images of highway cracks were collected and classified into three categories of cracks, namely, “vertical cracks,” “horizontal and vertical cracks” and “diagonal cracks,” subsequently, using “Matlab” to classify the sample to training (70%) and testing (30%) to apply the four deep learning CNN models and compute their accuracies. After that, developing a new deep learning CNN model to maximize the accuracy of detecting and classifying highway cracks and testing the accuracy using three optimization algorithms at different learning rates.

Findings
The accuracies result of the four deep learning pre-trained models are above the averages between top-1 and top-5 and the accuracy of classifying and detecting the samples exceeded the top-5 accuracy for the pre-trained AlexNet model around 3% and by 0.2% for the GoogleNet model. The accurate model here is the GoogleNet model as the accuracy is 89.08% and it is higher than AlexNet by 1.26%. While the computed accuracy for the new created deep learning CNN model exceeded all pre-trained models by achieving 97.62% at a learning rate of 0.001 using Adam’s optimization algorithm.

Practical implications
The created deep learning CNN model will enable users (e.g. highway agencies) to scan a long highway and detect types of cracks accurately in a very short time compared to traditional approaches.

Originality/value
A new deep learning CNN-based highway cracks detection was developed based on testing four pre-trained CNN models and analyze the capabilities of each model to maximize the accuracy of the proposed CNN.
Bilingual learning strategies to support Chinese EAL business students
Authors: Ashton-Hay Sally Ann , Lamberton Geoffrey , Zhou Yining , von der Heidt Tania 
Published: August 2021

PurposeThis study aims to examine the effectiveness of bilingual learning strategies designed to support Chinese undergraduate business students facing significant learning challenges in an Australian university capstone curriculum delivered at their Chinese university. These challenges include the students’ difficulty understanding discipline-specific English terminology, using this terminology to discuss disciplinary concepts with their instructors and stress caused by an abnormally high study load.Design/methodology/approachIn response to these challenges, the project team implemented a suite of bilingual strategies to reduce cognitive load and enhance learning, which included Chinese-English glossaries to build disciplinary-specific vocabularies; a bilingual teaching assistant to enable students to communicate in their language of choice; the use of WeChat to connect students to staff and to provide translanguaging opportunities; and bilateral managerial and academic support for strengthening the institutional cross-cultural relationship through staff exchange and language learning programs. A series of surveys were administered to measure the impact of these strategies on students’ learning, and WeChat logs were analysed to determine students’ linguistic preferences during discussions with staff and students.FindingsThe results of this project show strong support for each bilingual strategy, high academic performance amongst the student cohort, the positive contribution to learning and connection provided by social media technology, students’ language of choice preferences and chosen translanguaging styles and the important role of teaching staff in supporting international students’ intercultural learning and adaptation to a foreign university learning system.Originality/valueThis original evidence-based study helps to address the gap in bilingual education in Australian higher education demonstrating a successful strategy for dealing with language and discipline-specific challenges confronting EAL students.
Drivers of the experience value of mobile money transfer service: Senegaleseuser perspectives
Authors: Fall Ndeye Astou Manel , Diop-Sall Fatou , Poncin Ingrid 
Published: August 2021

Purpose
Digital service innovations have enabled service market access, transforming Africa. This paper aims to investigate individual and contextual drivers of experience value of mobile money transfer (MMT) service during post-adoption given impacts of individual/cultural characteristics in Senegal.

Design/methodology/approach
Mixed methods. Study 1 qualitatively investigates the effects of individual-contextual drivers on the experience value of MMT and behavioral intentions. Study 2 quantitatively tests the main causal effects between drivers and MMT.

Findings
Conceptual models of experience value including ethical and social dimensions proposed in MMT are positively related to behavioral intentions. Need for social interaction (NSI), self-efficacy (SEFF) and social pressure (SP) – sources of experience value creation/destruction – must be integrated into business practices. Results show the indirect positive influence of NSI on behavioral intentions through MMTs experience value. Moreover, traditional cultural orientation (TCO) is a source of value creation/destruction. Managers should build ethical relations with users, integrate social functions in MMT and understand users’ cultural and individual characteristics for better customer relationship management policy.

Originality/value
Few studies examine how MMT experience creates/destroys value in a Sub-Saharan African context, specifically in Senegal. The authors show that SP might destroy value and reveal how individual variables such as SEFF, NSI and TCO affect experience value creation/destruction. Surprisingly, NSI creates value, revealing MMT as hybrid self-service technology.
Creating a healthcare variant CYNEFIN framework to improve leadership and urgent decision-making in times of crisis
Authors: Lane Paul James , Clay-Williams Robyn , Johnson Andrew , Garde Vidula , Barrett-Beck Leah 
Published: August 2021

Purpose
The complex and occasionally chaotic nature of health care has been previously described in the literature, as has the broadening recognition that different management approaches are required for different types of problems rather than a “one size fits all” approach. The CYNEFIN framework from Snowden outlines a consistent cognitive approach that offers the leader and leadership team an ability to urgently apply the correct actions to a given situation. This paper proposes a variant CYNEFIN approach for healthcare.

Design/methodology/approach
Consistent and accurate decision-making within health care is the hallmark of an effective and pragmatic leader and leadership team. An awareness of how one’s cognitive biases and heuristics may adversely impact on this cognitive process is paramount, as is an understanding of the calibration between fast and slow thinking.

Findings
The authors propose a variant CYNEFIN approach for health care of “act-probe-sense-respond” to resolve complex and time-critical emergency scenarios, using the differing contexts of a cardiac arrest and an evolving crisis management problem as examples. The variant serves as a pragmatic sense-making framework for the health-care leader and leadership team that can be adopted for many time-critical crisis situations.

Originality/value
The variant serves as a pragmatic sense-making framework for the health-care leader that can be adopted for many crisis situations.
Close auditor-client relationships: adverse effects and the potential mitigating role of partner rotation
Authors: Liu Qiliang , Zhao Lei , Tian Li , Xie Jian 
Published: August 2021

PurposeThis paper aims to investigate whether close auditor-client relationships affect audit quality over the tenure of the audit partner and the potential role of partner rotation in mitigating this effect.

Design/methodology/approachUsing the Chinese mandatory audit partner rotation setting, the authors identify the existence of a close auditor-client relationship if the audit partner tenure with a client is larger than the audit firm tenure with that client. The sample period (1998–2009) is divided into voluntary and mandatory rotation periods when examining the effects of audit partner tenure on audit quality for the normal and close auditor-client relationship subsamples, respectively. The authors also conduct a propensity score matching analysis to address a selection issue.

FindingsThe paper finds that under the voluntary partner rotation regime, audit quality decreases with audit partner tenure for the subsample with close auditor-client relationships, whereas this effect is not shown in the normal relationship subsample. However, audit quality no longer declines with audit partner tenure under the mandatory partner rotation regime.

Originality/valueThis is the first study that directly examines the effect of audit partner tenure on audit quality associated with close auditor-client relationships under the voluntary and mandatory partner rotation regimes.
Financing and supervisory effects of credit ratings: evidence from mergers and acquisitions
Authors: Xu Qian , Wu Yuhui , Zhai Lingling 
Published: August 2021

Purpose
The purpose of this paper is to examine how credit ratings affect corporate financial behavior from the perspective of merger and acquisition (M&A) decisions. The goal is to test the financing and supervisory effects of credit ratings and study the economic consequences of credit ratings in the context of China.

Design/methodology/approach
Using a sample of Chinese A-share listed companies over the 2008–2017 period, this paper empirically examines the effect of credit ratings on firms’ M&A decisions. The authors used a probit model for regression when they tested the effect of credit rating on M&A likelihood and a tobit model when they tested the effect of credit rating on M&A intensity.

Findings
First, rated enterprises tend to make more acquisitions compared with non-rated enterprises, consistent with the hypothesis that credit ratings alleviate financing constraints. Second, high-rated enterprises are more cautious toward M&As due to concerns about preserving their ratings, which indicates that credit ratings also play a supervisory role in the M&A process. Additional tests show that enterprises reduce M&A activity after a rating downgrade to avoid further deterioration in their ratings; this further supports the supervisory role of credit ratings.

Originality/value
This paper adds incremental evidence to the literature on the impact of credit ratings on corporate financial behavior and extends the literature on the factors influencing M&As. The authors provided empirical evidence from emerging capital markets for the financing and supervisory effects of credit ratings and provided theoretical guidance for promoting the stable, long-term development of China’s credit rating industry.
Making context matter: unraveling functional foods’ constructions by Tunisian consumers
Authors: Lakhdar Saoussen , Smaoui Fatma 
Published: August 2021

Purpose
This paper aims to explore the socio-cultural meanings of functional foods for Tunisian consumers and to understand how these meanings shape their preferences and practices in the particular context of a Middle-East and North African (MENA) region.

Design/methodology/approach
A constructivist perspective based on multi-qualitative methods was designed allowing data collection in a natural setting through focus groups interviews, individual in-depth interviews and projective techniques among Tunisian consumers.

Findings
Findings show the complexity and importance of conscious and unconscious non-health-related socio-cultural factors in the construction and acceptance of functional foods by the Tunisian consumer. Common sense knowledge, social environment and tradition shape the constructions and practices of functional foods. These factors may act as a shortcut to compensate for unhealthy behaviour and as a social marker to reflect trendiness and identity.

Research limitations/implications
The findings are specific to the Tunisian setting and may be not transferable to other settings.

Practical implications
The role of information is central in functional food acceptance. Communication on health effects should consider not only the formal nutritional health benefit but also lay knowledge.

Social implications
The findings of this research contribute in the government’s understanding of Tunisian’s constructions of health and well-being by suggesting that besides health motives, non-health-related factors such as lay knowledge, social influences and conspicuous consumption play an important role in functional foods choice.

Originality/value
This paper contributes to extend functional foods literature by exploring the complex interconnected conscious and unconscious socio-cultural constructions behind functional food choice. It contributes also to the understanding of the food consumer behaviour in the specific cultural context of the Arab-Muslim MENA region, an under investigated setting.
A hybrid of genetic algorithm and particle swarm optimization for reducing material waste in extrusion-basedadditive manufacturing
Authors: Feng Ruiliang , Jiang Jingchao , Sun Zhichao , Thakur Atul , Wei Xiangzhi 
Published: August 2021

PurposeThe purpose of this paper is to report the design of a lightweight tree-shaped support structure for fused deposition modeling (FDM) three-dimensional (3D) printed models when the printing path is considered as a constraint.

Design/methodology/approachA hybrid of genetic algorithm (GA) and particle swarm optimization (PSO) is proposed to address the topology optimization of the tree-shaped support structures, where GA optimizes the topologies of the trees and PSO optimizes the geometry of a fixed tree-topology. Creatively, this study transforms each tree into an approximate binary tree such that GA can be applied to evolve its topology efficiently. Unlike FEM-based methods, the growth of tree branches is based on a large set of FDM 3D printing experiments.

FindingsThe hybrid of GA and PSO is effective in reducing the volume of the tree supports. It is shown that the results of the proposed method lead to up to 46.71% material savings in comparison with the state-of-the-art approaches.

Research limitations/implicationsThe proposed approach requires a large number of printing experiments to determine the function of the yield length of a branch in terms of a set of critical parameters. For brevity, one can print a small set of tree branches (e.g. 30) on a single platform and evaluate the function, which can be used all the time after that. The steps of GA for topology optimization and those of PSO for geometry optimization are presented in detail.

Originality/valueThe proposed approach is useful for the designers and manufacturers to save materials and printing time in fabricating complex models using the FDM technique. It can be adapted to the design of support structures for other additive manufacturing techniques such as Stereolithography and selective laser melting.
The effects of circular economy initiative implementation on business performance: the moderating role of organizational culture
Authors: Kwarteng Amoako , Simpson Samuel Nana Yaw , Agyenim-Boateng Cletus 
Published: August 2021

PurposeThe study aims to examine the micro-level implications of implementing a circular economy (CE) business model on firms’ financial performance and the effect of organizational culture in this context.Design/methodology/approachUsing a survey method to obtain 617 usable questionnaires from diverse business sectors in Ghana, a largely unexplored region and relying on institutional and legitimacy theories.FindingsThe study shows that the implementation ofCEpolicies, such as the reducing, reusing, recycling, recovery and restoration of resources used in manufacturing, distribution and consumption processes, contributes to improved financial efficiency. Furthermore, organizational culture moderates by way of strengthening the positive relationship betweenCEand business financial performance.Originality/valueThis study contributes to the literature on circularity and the broader discourse on ecological issues by arguing that institutional and legitimacy theories, which are both from the political economy theory, suggest that firms’ economic activities will be influenced by the political, social and institutional context. Therefore, the firm’s decision to embrace a different business model such asCEshould be seen from the political environment involving rules and regulations, social dynamics both within and outside the organization and the institutional structures within which the firm operates. These mechanisms establish a business case for the implementation ofCEinitiatives and is guided by intent and specific goals. This motivates and encourages employees to be more involved in their duties and interactions leading to high levels of employee satisfaction, which improves productivity and profitability.
Both diversity and functional composition affect productivity and water use efficiency in experimental temperate grasslands
Authors: Walde Manuel , Allan Eric , Cappelli Seraina L. , Didion‐Gency Margaux , Gessler Arthur , Lehmann Marco M. , Pichon Noémie A. , Grossiord Charlotte 
Published: August 2021

Abstract

Many experiments have shown that biodiversity promotes ecosystem functioning and stability and that this relationship varies with resource availability. However, we still have a poor understanding of the underlying physiological and ecological mechanisms driving diversity effects and how they may interact with soil nutrient availability.

We collected data in a grassland experiment factorially manipulating fertilization, species richness (SR), functional composition (slow‐growing vs. fast‐growing species) and functional diversity in resource economic traits. We measured above‐ground productivity (AP), nitrogen (N) uptake, photosynthesis and water use efficiency by combining a 15N labelling approach with productivity, gas exchange and stable isotope measurements in 3 years differing in rainfall.

We found that sown SR increased AP, N uptake and photosynthesis, suggesting that SR is the most important driver of ecosystem productivity and nutrient cycling. Similarly, photosynthesis was affected by functional composition but not by functional diversity. Water use efficiency was reduced by sown SR for communities dominated by slow‐growing species but not for communities dominated by fast‐growing species. Fertilization increased productivity, N uptake and water use efficiency. The positive effects of high SR on ecosystem functions were independent of fertility levels.

Synthesis. Our results provide evidence that high species richness in temperate grasslands could enhance productivity and reduce the negative impacts of drought events. Multiple factors and community characteristics are important in driving enhanced ecosystem functioning in biodiverse grasslands and seem to affect functioning and stability through different mechanisms.
Assessing the knowledge of endometriosis diagnostic tools in a large, international lay population: an online survey
Authors: Leonardi M , Rocha R , Tun‐Ismail AN , Robledo KP , Armour M , Condous G 
Published: August 2021

ObjectiveTo assess the general population’s knowledge regarding the utility and availability of tools to diagnosis endometriosis, with a focus on ultrasound.DesignAn international cross‐sectional online survey study was performed between August and October 2019.Setting and population5301 respondents, representing 73 countries.MethodsIn all, 23 questions survey focused on knowledge of endometriosis diagnosis distributed globally via patient‐ and community‐endometriosis groups using social media.Main outcomes and measuresDescriptive data of the knowledge of diagnostic tools for diagnosing endometriosis, including details about diagnosis using ultrasound.ResultsIn all, 84.0% of respondents had been previously diagnosed with endometriosis, 71.5% of whom had been diagnosed at the time of surgery. Ultrasound and MRI were the methods of diagnosis in 6.5% and 1.8%, respectively. A total of 91.8%, 28.8% and 16.6% of respondents believed surgery, ultrasound and MRI could diagnose endometriosis, respectively (more than one answer allowed). In those diagnosed by surgery, 21.7% knew about ultrasound as a diagnosis method, whereas in those diagnosed non‐surgically, 51.5% knew (P < 0.001). In all, 14.7%, 31.1% and 18.2% stated superficial, ovarian and deep endometriosis could be diagnosed with ultrasound (32.9% stated they did not know which phenotypes of endometriosis could be diagnosed). Lastly, 58.4% of respondents do not believe they could access an advanced ultrasound in their region.ConclusionsThere is a limited appreciation for the role of non‐surgical diagnostic tests for endometriosis among lay respondents to this survey.Tweetable abstractInternational survey shows limited awareness of lay respondents about non‐surgical endometriosis diagnostic tools.
Duration of medical home participation and quality of care for patients with chronic conditions
Authors: Swietek Karen E. , Domino Marisa Elena , Grove Lexie R. , Beadles Chris , Ellis Alan R. , Farley Joel F. , Jackson Carlos , Lichstein Jesse C. , DuBard C. Annette 
Published: August 2021

AbstractObjectiveTo examine whether the length of participation in a patient‐centered medical home (PCMH), an evidence‐based practice, leads to higher quality care for Medicaid enrollees with multiple co‐morbid chronic conditions and major depressive disorder (MDD).Data SourcesThis analysis uses a unique data source that links North Carolina Medicaid claims and enrollment data with other administrative data including electronic records of state‐funded mental health services, a state psychiatric hospital utilization database, and electronic records from a five‐county behavioral health carve‐out program.Study DesignThis retrospective cohort study uses generalized estimating equations (GEEs) on person‐year‐level observations to examine the association between the duration of PCMH participation and measures of guideline‐concordant care, including the receipt of minimally adequate care for MDD, defined as 6 months of antidepressant use or eight psychotherapy visits each year.Data Collection/Extraction MethodsAdults with two or more chronic conditions reflected in administrative data, including MDD.Principal FindingsWe found a 1.7 percentage point increase in the likelihood of receiving guideline‐concordant care at 4 months of PCMH participation, as compared to newly enrolled individuals with a single month of participation (p < 0.05). This effect increased with each additional month of PCMH participation; 12 months of participation was associated with a 19.1 percentage point increase in the likelihood of receiving guideline‐concordant care over a single month of participation (p < 0.01).ConclusionsThe PCMH model is associated with higher quality of care for patients with multiple chronic conditions and MDD over time, and these benefits increase the longer a patient is enrolled. Providers and policy makers should consider the positive effect of increased contact with PCMHs when designing and evaluating initiatives to improve care for this population.