bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D-printed Planktonic Observational Setup and Analysis Pipeline TrackmateTaxis
Authors: Döring Clemens C. , Hausen Harald 
Published: August 2020

AbstractPlanktonic organisms are a cornerstone of marine ecosystems. They vary significantly in size and have a repertoire of behaviors to aid them to survive and navigate their three-dimensional environment. One of the most important cues is light. A variety of setups were used to study the swimming behavior of specific organisms, but broader and comparative investigations need more versatile solutions. With the help of 3D printing, we designed and constructed a modular and flexible behavioral observation setup that enables recordings of animals down to 50μm or up to a few centimeters. A video analysis pipeline using ImageJ and python allows a quick, automated, and robust tracking solution, capable of processing many videos automatically. A modular light path allows the addition of filters or use of pulse width modulation to equalize photon emission of LEDs or additional LEDs to mix different wavelengths. Optionally, a spectrometer can be installed to enable live monitoring of a stimulus. We tested the setup with two phototactic marine planktonic larvae. First, we investigated the spectral sensitivity of the 7-day old larvae of the polychaeteMalacoceros fuliginosusand second, the behavior of the 200μm spherical bryozoan coronated larvae ofTricellaria inopinatato ultraviolet light coming from the bottom of the vessel. The setup and pipeline were able to record and analyze hundreds of animals simultaneously. We present an inexpensive, modular, and flexible setup to study planktonic behavior of a variety of sizes.
Marcksl1 modulates endothelial cell mechanoresponse to haemodynamic forces to control blood vessel shape and size
Authors: Kondrychyn Igor , Kelly Douglas J. , Carretero Núria Taberner , Nomori Akane , Kato Kagayaki , Chong Jeronica , Nakajima Hiroyuki , Okuda Satoru , Mochizuki Naoki , Phng Li-Kun 
Published: August 2020

ABSTRACTThe formation of vascular tubes is driven by extensive changes in endothelial cell (EC) shape. Here, we have identified a novel role of the actin-binding protein, Marcksl1, in modulating the mechanical properties of EC cortex to regulate cell shape and vessel structure during angiogenesis. Increasing and depleting Marcksl1 expression levelin vivoresulted in an increase and decrease, respectively, in EC size and the diameter of microvessels. Furthermore, endothelial overexpression of Marcksl1 induced ectopic blebbing on both apical and basal membranes, during and after lumen formation, that is suppressed by reduced blood flow. High resolution imaging revealed that Marcksl1 promotes the formation of linear actin bundles and decreases actin density at the EC cortex. Our findings demonstrate that a balanced network of linear and branched actin at the EC cortex is essential in conferring cortical integrity to resist the deforming forces of blood flow to regulate vessel structure.
A versatile X-ray phase retarder for lock-in XMCD measurements
Authors: Poldi Eduardo H. T. , Escanhoela Jr Carlos A. , Fonseca Jr Jairo , Eleotério Marcos A. S. , dos Reis Ricardo D. , Lang Jonathan C. , Haskel Daniel , Souza-Neto Narcizo M. 
Published: August 2020

X-ray magnetic circular dichroism (XMCD) is a technique commonly used to probe magnetic properties of materials with element and orbital selectivity, which requires the use of circularly polarized (CP) X-rays. It is possible to accomplish XMCD experiments with fixed CP and alternating the magnetic field orientation, but most reliable data are obtained when alternating the magnetization orientation and the polarization between right and left helicities. A versatile strategy has been developed to perform XMCD experiments using a hard X-ray quarter-wave plate, at both polychromatic dispersive and conventional monochromatic optics, in combination with synchronous data acquisition. The switching frequency waveform is fed into a lock-in amplifier to detect and amplify the XMCD signal. The results on a reference sample demonstrate an improvement in data quality and acquisition time. The instrumentation successfully generated 98% of CP X-rays switching the beam helicity at 13 Hz, with the possibility of faster helicity switching once it is installed at the new Brazilian fourth-generation source, SIRIUS.
Electron-event representation data enable efficient cryoEM file storage with full preservation of spatial and temporal resolution
Authors: Guo Hui , Franken Erik , Deng Yuchen , Benlekbir Samir , Singla Lezcano Garbi , Janssen Bart , Yu Lingbo , Ripstein Zev A. , Tan Yong Zi , Rubinstein John L. 
Published: August 2020

Direct detector device (DDD) cameras have revolutionized electron cryomicroscopy (cryoEM) with their high detective quantum efficiency (DQE) and output of movie data. A high ratio of camera frame rate (frames per second) to camera exposure rate (electrons per pixel per second) allows electron counting, which further improves the DQE and enables the recording of super-resolution information. Movie output also allows the correction of specimen movement and compensation for radiation damage. However, these movies come at the cost of producing large volumes of data. It is common practice to sum groups of successive camera frames to reduce the final frame rate, and therefore the file size, to one suitable for storage and image processing. This reduction in the temporal resolution of the camera requires decisions to be made during data acquisition that may result in the loss of information that could have been advantageous during image analysis. Here, experimental analysis of a new electron-event representation (EER) data format for electron-counting DDD movies is presented, which is enabled by new hardware developed by Thermo Fisher Scientific for their Falcon DDD cameras. This format enables the recording of DDD movies at the raw camera frame rate without sacrificing either spatial or temporal resolution. Experimental data demonstrate that the method retains super-resolution information and allows the correction of specimen movement at the physical frame rate of the camera while maintaining manageable file sizes. The EER format will enable the development of new methods that can utilize the full spatial and temporal resolution of DDD cameras.
Risk mitigation in unstabilized approach with fuzzy Bayesian bow-tie analysis
Authors: Acarbay Caner , Kiyak Emre 
Published: August 2020

Purpose
Stable approach concept has great importance for the safe operation of an airline during the approach and landing phases. The purpose of this study is to analyse the unstabilized approaches with bow-tie method and determine the threats that may cause risk in an unstable approach.

Design/methodology/approach
In this study, risk assessment of the unstabilized approaches is carried out by using fuzzy bow-tie method and Bayesian networks. Bow-tie method is the combination of event tree analysis and fault tree analysis. Bayesian network is used in the analysis to see interrelationship of basic and intermediate events as well as to update posterior probabilities. Finally, analysis results are verified by the safety performance indicator values.

Findings
In this study, the probabilistic values of the numerical model presented by the risk assessment system for risks were calculated using the fuzzy bow-tie method. Thus, the risk assessment system has been transformed into a structure that can be expressed in a probabilistic manner, and the relationship of the risks within the system has been examined and the effect of a possible change on the risk value has been found to be prevalent.

Originality/value
The bow-tie model is widely applied to assess the risks in aviation. Obtaining prior probabilities is not always possible in the risk assessment process. In this paper, innovative fuzzy bow-tie method is used to assess the risks to overcome the lack of prior probability problem in aviation operations.
Credit booms and financial instability in US agriculture
Authors: Kuethe Todd , Hubbs Todd 
Published: August 2020

PurposeThis study examines the relationship between economic fluctuations and financial distress in the US agricultural sector, which is associated with a large degree of financial instability.Design/methodology/approachThe authors developed a parsimonious model of economic fluctuations in the US agricultural sector. The authors used statistical filter methods to identify the co-movement in cyclical fluctuations in real, cumulative growth rates in farm real estate values, farm sector debt and leverage.FindingsThe proposed model closely approximated the financial evolution of the US agricultural sector between 1960 and 2018. In addition, the authors proved that the proposed model is an early warning indicator of farm loan delinquencies and farm bankruptcies.Originality/valueThis study exploits recent advances in economic theory and empirical macroeconomic modeling to develop a model that is a robust predictor of financial distress in the agricultural sector. Further, the authors demonstrate that the policy interventions following the 1980s farm financial crisis demonstrate the likely long-run economic response to the policies enacted following the 2008 financial crisis.
Developing a new super-efficiency DEA model in the presence of both zero data and stochastic data: a case study in the Iranian airline industry
Authors: Tavassoli Mohammad , Fathi Amirali , Farzipoor Saen Reza 
Published: August 2020

PurposeThe purpose of this study is to propose a novel super-efficiency DEA model to appraise the relative efficiency of DMUs with zero data and stochastic data. Our model can work with both variable returns to scale (VRS) and constant returns to scale (CRS).Design/methodology/approachThis study proposes a new stochastic super-efficiency DEA (SSDEA) model to assess the performance of airlines with stochastic and zero inputs and outputs.FindingsThis paper proposes a new analysis and contribution to the knowledge of efficiency assessment with stochastic super-efficiency DEA model by (1) using input saving and output surplus index for efficient DMUs to get the optimal solution; (2) obtaining efficiency scores from the proposed model that are equivalent to original stochastic super-efficiency model when feasible solutions exist. A case study is given to illustrate the applicability of our proposed model. Also, poor performance reasons are identified to improve the performance of inefficient airlines.Originality/valueFor the first time, a new SSDEA model for ranking DMUs is proposed. The introduced model produces a feasible solution when dealing with zero input or output. This paper applies the input saving and output surplus concept to rectify the infeasibility problem in the stochastic DEA model.
Exploring Deal of the Day: an e-commerce strategy
Authors: Nigam Achint , Dewani Prem Prakash , Behl Abhishek 
Published: August 2020

PurposeThis paper examines differences in the discounts offered during Deal of the Day (DOD) promotion schemes by online retailers based on product category, festival season and the economic status of a country.Design/methodology/approachIn study 1, the authors conducted three focus group studies and 20 in-depth personal interviews (PIs) to explore consumers' perspectives on DOD. To validate the hypotheses based on the findings of study 1 and collected 515 data points from Amazon.com (313 data points from the United States) and Amazon.in (202 data points from India) in study two. The authors used multinomial linear regression to analyze the data.FindingsA significant difference in savings for buyers on the purchase of electronic product categories as compared to savings made by them on the purchase of non-electronic product categories during DOD promotional schemes. Electronic products get deeper discounts in the US during festival seasons as compared to non-festival seasons during DOD promotional schemes. In emerging economies discounts offered by e-commerce retailers during DOD offers on electronic items are lesser as compared to those offered during DOD offers made in developed economies like United States.Practical implicationsManagers should avoid offering the same products under DOD during the festive season and non-festive season at similar prices in emerging economies as during festivals customers expect more savings over and above the regular savings.Originality/valueDOD is offered every day irrespective of the other promotions on e-commerce platforms to boost sales. This study analyses any significant difference in saving for DOD offered during special sales days in emerging and developed economies.
Twenty-five years’ contribution of “Benchmarking: an International Journal” to manufacturing strategy: a scientometric review
Authors: Dohale Vishwas , Gunasekaran Angappa , Akarte Milind M. , Verma Priyanka 
Published: August 2020

PurposeThis study aims at reviewing the articles on the themes of manufacturing strategy (MS) published in “Benchmarking: An International Journal (BIJ)” and investigating the trends of publication for future research.Design/methodology/approachFive-stage methodology to conduct a literature review is adopted comprising: (1) article collection, (2) inclusion/exclusion criteria, (3) reviewing the articles, (4) analyzing the articles and (5) future research directions. A total of 57 articles specific to MS domain published in BIJ are reviewed. Further, a bibliometric analysis comprising keywords co-occurrence, citation and co-citation using a VOSviewer© software followed by content analysis to analyze the type of research, type of industry and type of tool/method used is carried out.FindingsThe study helps to find the scope of the journal and research gaps in the MS domain to provide future research directions. Most of the work found is survey-based or case-based in nature. However, there is a need for empirical research to be done in the field of MS.Research limitations/implicationsThe study facilitates researchers willing to publish in BIJ to understand different themes of accepted papers concerning MS domain. The identified research gaps and future research direction can motivate researchers and practitioners to coin new approaches in the MS domain.Originality/valueA comprehensive review and analysis of the MS literature published in BIJ has been provided. To the best of authors' knowledge, the current study is the only review study in MS domain focusing on one specific journal.
Impact of changing income distribution on fluid milk consumption in urban China
Authors: Zhu Wenbo , Chen Yongfu , Zheng Zhihao , Zhao Jing , Li Guojing , Si Wei 
Published: August 2020

PurposeChina has experienced a fast economic growth and shown a significant rise in income inequality in the past decades. During the same period, fluid milk consumption in urban areas has rapidly expanded. The objective of this paper is to analyze and simulate the influence of income distribution changes on fluid milk consumption of households in urban China.Design/methodology/approachThis study applies an inverse hyperbolic sine (IHS) double-hurdle model to modeling at-home fluid milk consumption of households across different income strata based on a sample of 11,861 urban households in five provinces in China, and simulating the impact of changing income distribution, including five income growth patterns, on fluid milk consumption of total households as well as specific household groups.FindingsThe fluid milk consumption in urban China will continue to increase, with the unconditional income elasticity being 0.334 for the full sample and 0.347, 0.335 and 0.162 for the low-, middle-, and high-income groups, respectively. The simulation results show an evidence that, compared with distribution-neutral and disparity-enlarging income growth patterns, a rising income equality would lead to a more significant increase in fluid milk consumption. And the inequality-reducing income growth pattern has a larger impact on fluid milk consumption of households with seniors and no children, as well as households having no local urban household registration (hukou).Practical implicationsThe government should strengthen the supply measures of fluid milk in urban areas, enlarge domestic dairy production, and diversify the sources of milk imports. It is also necessary to subsidize low-income families, especially households with seniors or households migrated from other areas without getting local urbanhukou, which could simultaneously improve nutritional benefits and alleviate financial pressures.Originality/valueA simulation considering the evolution of income distribution as well as different household groups is conducted. Widely distributed data with a large sample size and detailed demographic information are used. The problems of zero consumption and non-normal distribution are addressed by the IHS double-hurdle model.
Investigating the repurchase intention of Bitcoin: empirical evidence from China
Authors: Nadeem Muhammad Athar , Liu Zhiying , Pitafi Abdul Hameed , Younis Amna , Xu Yi 
Published: August 2020

PurposeCryptocurrencies, such as Bitcoin, generate innovative and fast exchanges without any physical form and facilitate online payments; thus, they may bring about revolutions of the future economic system. Recent investigations reveal that China, the second largest Bitcoin market, accounts for a huge volume of Bitcoin trading and mining, which can cast distinct influences on future values of Bitcoin. Therefore, it would be of great significance to probe into the repurchase intention of Bitcoin of the Chinese individuals.Design/methodology/approachOne hundred and forty-three questionnaires were collected from Chinese respondents. SPPS was employed for data analysis of the proposed hypotheses.FindingsThe results show that expectation has a positive impact on perceived enjoyment and perceived ease of use. A positive relationship between perceived ease of use and perceived enjoyment was confirmed. The findings also reveal that expectation, perceived enjoyment and perceived ease of use have significant impact on satisfaction. Moreover, it is found that perceived enjoyment, perceived ease of use and satisfaction significantly influence the repurchase intention of Bitcoin.Research limitations/implicationsThis study encourages future comparative studies to be conducted. Besides, it is recommended to find out other possible antecedents of repurchase intention. Moreover, this study suggested negative effects of Bitcoin to be explored.Practical implicationsIn a practical standpoint, this study provides valuable suggestions about cryptocurrencies use and regularization. For instance, education and learnability issues of novice users need to be considered. Further, the regularization/implementation of cryptocurrencies/blockchain technologies is also suggested.Originality/valueThis is the pioneer endeavor which investigates the repurchase intention of Bitcoin. The findings explore some of the possible antecedents which influence repurchase intention of Bitcoin. These findings provide valuable insights and enrich the existing body of literature in the domain of Bitcoin.
Integrating hierarchical and network centric management approaches in construction megaprojects using a holonic methodology
Authors: Gorod Alex , Hallo Leonie , Statsenko Larissa , Nguyen Tiep , Chileshe Nicholas 
Published: August 2020

PurposeTraditional “hierarchical” and “network-centric management” approaches often associated with the management of well-defined construction projects lack the adaptability to cope with uncertainty, standardised practices and the required conformance to industry standards. The purpose of this paper is to propose an integrative “holonic” methodology for the management of megaprojects in the construction industry, which incorporates both adaptability and conformance to standards, and to illustrate the associated benefits of such a methodology.Design/methodology/approachA multi-case study comprising three cases delivered in the USA and Australia, namely the Adelaide Desalination Plant (ADP), the Seattle–Tacoma International Airport, and the Olmsted Locks and Dam Replacement project were utilized to demonstrate the key features of the hierarchical, network-centric and holonic approaches to managing megaprojects.FindingsThe case studies demonstrate incorporating the holonic approach into the management of complex construction projects results in increased management effectiveness and project success. The proposed “holonic” methodology provides the potential to efficiently manage megaprojects navigating through high degrees of uncertainty.Practical implicationsThe adoption of the holonic view by project management (PM) practitioners will help them manage megaprojects that are characterised by greater complexity. Second, the proposed methodology enables the discipline of PM to evolve in alignment with rapidly unfolding global transformation trends.Originality/valueThis paper demonstrates the application of the “holonic” methodology to the domain of the management of construction megaprojects. Such an approach is needed as construction projects become increasingly more complex across the world due to technological, political and social uncertainties, larger scale, changing environmental and safety regulations, and the growing involvement of human factors germane to this research.
Understanding the role of technological factors and external pressures in smart classroom adoption
Authors: Selim Hassan M. , Eid Riyad , Agag Gomaa 
Published: August 2020

PurposeThe adoption of smart classroom is increasing in higher education around the world. Yet, factors affecting smart classroom adoption have not been sufficiently explored. Based on the innovation diffusion theory and external pressures, the present study developed a model to investigate the main drivers of smart classroom adoption.Design/methodology/approachSEM-AMOS was used to analyse the data collected from a sample of 1,208 educators.FindingsThe findings revealed that innovation diffusion theory and external pressures provide an appropriate model for understanding smart classroom adoption.Practical implicationsThe findings offer important implications for higher education institutions, IT managers, and are likely to stimulate further research in the area of smart classrooms.Originality/valueTo the best of the authors' knowledge, this is the first study that used innovation diffusion theory external pressures to understanding smart classroom adoption.
Customers’ intention to use robot-serviced restaurants in Korea: relationship of coolness and MCI factors
Authors: Cha Seong Soo 
Published: August 2020

PurposeThis study aims to empirically test a theoretical model by defining customers’ intention to use services of restaurant robots, which are rapidly developing in Korea. The proposed model incorporates three stages: coolness, motivated consumer innovativeness (MCI) and the theory of planned behaviour.Design/methodology/approachA total of 420 questionnaires were issued. The results were analysed to verify the reliability and validity of the measured variables. Structural equation modelling was used to test the research hypotheses.FindingsThe results showed that hedonically motivated consumer innovativeness (hMCI) and socially motivated consumer innovativeness (sMCI) have positive effects on attitude and are enhanced by attractiveness, utility, subcultural appeal and originality. However, the relationship between MCI and attitude differed among age groups.Practical implicationsThe results revealed that sensory elements of robot services improve customer attitudes towards the use of robots in restaurants. This is a key finding that restaurant marketers should consider, because non-face-to-face services are becoming increasingly important in the current COVID-19 context.Originality/valueThis study analysed the relationship between coolness, MCI and the theory of planned behaviour in the context of robot-serviced restaurants and how the relationship between MCIs and attitude differed among the young and older customers. Practical implications are suggested.