bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the impact of curfews and other measures on SARS-CoV-2 transmission in French Guiana
Authors: Andronico Alessio , Kiem Cécile Tran , Paireau Juliette , Succo Tiphanie , Bosetti Paolo , Lefrancq Noémie , Nacher Mathieu , Djossou Félix , Sanna Alice , Flamand Claude , Salje Henrik , Rousseau Cyril , Cauchemez Simon 
Published: October 2020

AbstractWhile general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June-July 2020 in French Guiana that relied on curfews, targeted lockdowns and other measures. We find that the combination of these interventions reduced the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid saturation of hospitals. We estimate that thanks to the young demographics across the territory, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modeling can be used to support healthcare planning and decision making in a context of high uncertainty.
Level of Knowledge in the COVID-19 Pandemic: A Cross-Sectional Survey of Canadian Medical Students
Authors: Niburski Kacper , Vaughan Rachel , Papazova Elitsa , Todd Keith J. 
Published: October 2020

AbstractBackgroundDuring health crises medical education is often derailed as was the case during the current COVID-19 pandemic. Medical trainees face the daunting task of having to gather, filter and synthesize new information about the evolving situation often without the standardized resources they are used to.MethodsWe surveyed Canadian medical students, in the hardest hit province of Quebec, on how they were acquiring knowledge as well as what they knew of the pandemic. Google Forms was used, with the survey being distributed to each medical school in Quebec (McGill, ULaval, Udem) both through email and through social media pages for each class year. Two analyses, Mann-Whitney and ANOVA tests, were performed for year of study and degree obtained.ResultsWe received responses from 111 medical students from three universities, which represents 5% of the students invited to complete the survey. Students reported using mass media most frequently (83%) and also had a high rate of use of social media (to gather information about the pandemic. They rated these resources low in terms of their trustworthiness despite the high rates of use (average 2.91 and 2.03 of 5 respectively). Medical students also endorsed using more formal resources like public health information, scientific journals and faculty-provided information that they trusted more, however, they accessed these resources at lower rates. Of note, medical students had correct answered 60% of COVID-19 prevention strategies, 73% clinical correct answers, 90% epidemiological correct answers. Additionally, students who were training in the larger city of Montreal, where the worst of the outbreak was focused, tended to significantly perform better (p<0.0001) than their colleagues who were not located there.ConclusionThese finding indicate a wide use of information resources intended for public consumption rather than more rigorous and trustworthy sources. Furthermore, there seems to be a knowledge gap amongst medical students responding to this survey that suggests an opportunity to improve the delivery of educational content during this rapidly evolving pandemic.
Efficacy of information transmission in cellular communication
Authors: Sarkar Sumantra , Choubey Sandeep 
Published: October 2020

AbstractInter and intra-cellular signaling are essential for individual cells to execute various physiological tasks and accurately respond to changes in their environment. Signaling is carried out via diffusible molecules, the transport of which is often aided by active processes that provide directional advection. How diffusion and advection together impact the accuracy of information transmission during cell signaling remains less studied. To this end, we study a one-dimensional model of cell signaling and compute the mutual information (MI) as a measure of information transmission. We find that the efficacy of the information transmission improves with advection only when the system parameters result in Peclet number greater than one. Intriguingly, MI exhibits nontrivial scaling with the Peclet number, characterized by three distinct regimes. We demonstrate that the observed dependence of MI on the transport properties of signaling molecules has important consequences on cellular communication.
Conceptual design of a gliding UAV for bird strike prevention and observation
Authors: Kafali Hasim , Keskin Göksel 
Published: October 2020

Purpose
The purpose of this paper is to create a conceptual design a bird-inspired unmanned aerial vehicle (UAV) that can stay in the air for a long time while this design influences the species near the airport with predator appearance. To achieve that goal, reverse engineering methods took into account to find out optimal parameter, and effective bird species were examined to be taken as an example.

Design/methodology/approach
Design parameters were determined according to the behaviour of bird species in the region and their natural enemies. Dalaman airport where is located near the fresh water supplies and sea, was chosen as the area to run. To keep such birds away from the airport and to prevent potential incidents, information from animal behaviour studies is enormously important. According to Tinbergen, chicken and gees reacted to all short-necked birds because they thought they were predators. The entire method is based on information from these data, along with reverse engineering principles.

Findings
UAV can remain in the air for more than 5 min when the engine stops at an altitude of 200 m. Also, when the UAV loses altitude of 100 m, it can cover a distance of about 2 m with the 19.8-glide ratio. Moreover, 380 KV brushless electric motor can provide 5.2 kg thrust force with 17 × 8-inch folding propeller which means 1.3 thrust to weight ratio (T/W). This engine and propeller combination work up to 12 min at maximum power with 7000 mAh lipo-battery. The UAV can climb more than 40 min at 0.2 T/W ratio.

Research limitations/implications
While bird-inspired UAV trials have just begun, general ornithopter studies have taken smaller birds as their source because this is the limit of the flapping wing, one of the largest birds modelled in this study. Thus, it is inevitable the UAV influences other birds in the area. In addition, this bird’s inherent flight behaviour, such as soaring, ridge lifting and gliding, will increase its credibility. Owing to size similarity with UAV systems, reverse engineering methods worked well in the design.

Practical implications
Some of the specialist try to fly trained falcon in airport as an alternative method. This study focussed on the design of a bird-inspired UAV by optimizing the glide performance, both for scare the other birds around the airport and for the observation of birds in the vicinity and for the identification of bird species.

Social implications
As this type of work has been proven to reduce the risk of bird strikes, the sense of flight safety on society will increase.

Originality/value
Researchers and companies generally work on flapping wing models for related subjects. However, these products are kind of model of the Falconiformes species which don’t have too much influence on big birds. For this reason, the authors took account of Imperial eagle’s specifications. These birds perform long soaring flights while seeking for prey like the glider design. So, the authors think it is a new approach for designing UAV for preventing bird-strike.
Data science and its relationship to library and information science: a content analysis
Authors: Virkus Sirje , Garoufallou Emmanouel 
Published: October 2020

PurposeThe purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.Design/methodology/approachContent analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.FindingsA content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences. The category of tools, techniques and applications of data science was most addressed by the authors, followed by data science from the perspective of health sciences, data science education and training and knowledge and skills of the data professional. However, several publications fell into several categories because these topics were closely related.Research limitations/implicationsOnly publication recorded in the Web of Science database and with the term “data science” in the topic area were analyzed. Therefore, several relevant studies are not discussed in this paper that either were related to other keywords such as “e-science”, “e-research”, “data service”, “data curation”, “research data management” or “scientific data management” or were not present in the Web of Science database.Originality/valueThe paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.
Study of error compensations and sensitivity analysis for 6-Dof serial robot
Authors: Luo Xi , Zhang Yingjie , Zhang Lin 
Published: October 2020

PurposeThe purpose of this paper is to improve the positioning accuracy of 6-Dof serial robot by the way of error compensation and sensitivity analysis.Design/methodology/approachIn this paper, the Denavit–Hartenberg matrix is used to construct the kinematics models of the robot; the effects from individual joint and several joints on the end effector are estimated by simulation. Then, an error model based on joint clearance is proposed so that the positioning accuracy at any position of joints can be predicted for compensation. Through the simulation of the curve path, the validity of the error compensation model is verified. Finally, the experimental results show that the error compensation method can improve the positioning accuracy of a two joint exoskeleton robot by nearly 76.46%.FindingsThrough the analysis of joint error sensitivity, it is found that the first three joints, especially joint 2, contribute a lot to the positioning accuracy of the robot, which provides guidance for the accuracy allocation of the robot. In addition, this paper creatively puts forward the error model based on joint clearance, and the error compensation method which decouples the positioning accuracy into joint errors.Originality/valueIt provides a new idea for error modeling and error compensation of 6-Dof serial robot. Combining sensitivity analysis results with error compensation can effectively improve the positioning accuracy of the robot, and provide convenience for welding robot and other robots that need high positioning accuracy.
Service gifts, collective social connection and reciprocity
Authors: Tang Yihui (Elina) , Hinsch Christian , Lund Donald J. , Kharouf Husni 
Published: October 2020

Purpose
This study aims to investigate the process of service gifting (i.e. unexpected upgrades or benefits) and examine why service gifts do not always result in firm-beneficial reciprocal behaviors from consumers.

Design/methodology/approach
Through a series of three studies including both scenario-based and game-theory-based experiments, this research proposes and empirically validates a conceptual model that examines the effect of service gifts on firm-beneficial reciprocal behaviors, and the role of collective social connection and norm of positive reciprocity (NPR) in this process.

Findings
The findings of this research show that the consumer’s feelings of collective social connection mediate the link between the provision of service gifts and firm-beneficial outcomes. Furthermore, an individual’s adherence to NPR moderates this process. Specifically, individuals with a strong adherence to NPR do not display increases in collective social connection following the receipt of a service gift. Those who are low in NPR follow the expected pattern of increased collective social connection leading to reciprocation.

Research limitations/implications
Future research may further generalize the model to other situations such as high vs low context cultures. Longitudinal field experiments can be used to further investigate collective versus relational social connection, which can be either a by-product or a primary benefit derived from service delivery.

Practical implications
The results of this research reveal the critical role of collective social connection which has been largely ignored in service gifting research. It encourages managers to use service gifting to directly boost consumers collective social connection. Furthermore, it offers managers insight into why service gifts do not always result in firm-beneficial outcomes because of the moderating role of NPR.

Originality/value
The roles of social connection and the norm of reciprocity have been under-studied in both theoretical and empirical work on service gifting. This paper demonstrates that, contrary to traditional thought, those typically expected to reciprocate the most (i.e. high in NPR) may not realize increased collective social connection leading to reciprocation following receipt of a service gift.
Parallel discontinuous Galerkin finite element method for computing hyperbolic conservation law on unstructured meshes
Authors: Duan Zhijian , Xie Gongnan 
Published: October 2020

Purpose
The discontinuous Galerkin finite element method (DGFEM) is very suited for realizing high order resolution approximations on unstructured grids for calculating the hyperbolic conservation law. However, it requires a significant amount of computing resources. Therefore, this paper aims to investigate how to solve the Euler equations in parallel systems and improve the parallel performance.

Design/methodology/approach
Discontinuous Galerkin discretization is used for the compressible inviscid Euler equations. The multi-level domain decomposition strategy was used to deal with the computational grids and ensure the calculation load balancing. The total variation diminishing (TVD) Runge–Kutta (RK) scheme coupled with the multigrid strategy was employed to further improve parallel efficiency. Moreover, the Newton Block Gauss–Seidel (GS) method was adopted to accelerate convergence and improve the iteration efficiency.

Findings
Numerical experiments were implemented for the compressible inviscid flow problems around NACA0012 airfoil, over M6 wing and DLR-F6 configuration. The parallel acceleration is near to a linear convergence. The results indicate that the present parallel algorithm can reduce computational time significantly and allocate memory reasonably, which has high parallel efficiency and speedup, and it is well-suited to large-scale scientific computational problems on multiple instruction stream multiple data stream model.

Originality/value
The parallel DGFEM coupled with TVD RK and the Newton Block GS methods was presented for hyperbolic conservation law on unstructured meshes.
Adaptive estimation of UVs navigation parameters by irregular inertial-satellite measurements
Authors: Sokolov Sergey V. , Novikov Arthur I. 
Published: October 2020

PurposeThere are shortcomings of modern methods of ensuring the stability of Kalman filtration in unmanned vehicles’ (UVs) navigation systems under the condition of a priori uncertainty of the dispersion matrix of measurement interference. First, it is the absence of strict criteria for the selection of adaptation coefficients in the calculation of the a posteriori covariance matrix. Secondly, it is the impossibility of adaptive estimation in real time from the condition of minimum covariance of the updating sequence due to the necessity of its preliminary calculation.Design/methodology/approachThis paper considers a new approach to the construction of the Kalman filter adaptation algorithm. The algorithm implements the possibility of obtaining an accurate adaptive estimation of navigation parameters for integrated UVs inertial-satellite navigation systems, using the correction of non-periodic and unstable inertial estimates by high-precision satellite measurements. The problem of adaptive estimation of the noise dispersion matrix of the meter in the Kalman filter can be solved analytically using matrix methods of linear algebra. A numerical example illustrates the effectiveness of the procedure for estimating the state vector of the UVs’ navigation systems.FindingsAdaptive estimation errors are sharply reduced in comparison with the traditional scheme to the range from 2 to 7 m in latitude and from 1.5 to 4 m in longitude.Originality/valueThe simplicity and accuracy of the proposed algorithm provide the possibility of its effective application to the widest class of UVs’ navigation systems.
Influence of contact form on mechanical wear characteristics of single diamond scratching on Ta12W
Authors: Wu Haiyong , Huang Hui 
Published: October 2020

Purpose
Mechanical wear is the main wear form of abrasive single crystal diamond (SCD) grit. The mechanical wear of SCD grit has a significant influence on the tool life and machining quality. This paper aims to investigate the influence of grit–workpiece contact form on the mechanical wear characteristics of SCD grit.

Design/methodology/approach
Three different grit–workpiece contact forms, which involved point/line/face contact forms, are investigated to reveal the wear mechanism of SCD grit scratching on Ta12W. The wear morphology, wear volume and scratching forces are measured, and the stress models of different contact forms are analyzed.

Findings
The results show that mechanical wear mainly occurs in the grit–workpiece contact area and increases gradually from contact area to entire SCD grit. The scratching forces vary with the mechanical wear progress of SCD grits. The SCD grit with point contact form is the most prone to produce wear. The SCD grit with face contact form can remove more material volume than the other two SCD grits, and it is the most wear resistant. The stress state is closely related with the mechanical wear of SCD grit. The contact form has a significant influence on the mechanical wear of SCD grit.

Originality/value
The results of this study can provide a theoretical basis for the fabrication of abrasive tools.
An adjustable oil film thickness test rig for detecting lubrication characteristics of slipper/swash-pair in piston pumps
Authors: Wang Haiji , Shi Guanglin 
Published: October 2020

Purpose
The purpose of this paper is to propose an adjustable oil film thickness test rig for detecting lubrication characteristics of the slipper. The mathematical analysis of lubrication is introduced. Based on the results from the test rig, the results comparison from test rig and mathematical analysis is carried out.

Design/methodology/approach
This paper introduces a mechanism which can adjust the oil film thickness between the slipper and swash-plate. Feasibility is ensured, and the accuracy of test rig is guaranteed by the three-coordinate measuring machine. Three displacement sensors show the oil film thickness and its shape. The reacting force and torque resulting from oil film can be achieved by three S-type force sensors and a torque sensor, respectively.

Findings
The relative error of the reacting force is small. The relative error reduces and is acceptable when the deformation of retainer is taken into account. The thickness and tilt angle of oil film have less effect on the reacting force. However, they are significantly impact on torque.

Originality/value
The test rig proposed in this paper is able to adjust the oil film thickness, which is used to detecting the lubrication characteristics in pump design.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2020-0166/
Relational governance, organizational unlearning and learning: implications for performance
Authors: Yeniaras Volkan , Di Benedetto Anthony , Kaya Ilker , Dayan Mumin 
Published: October 2020

PurposeDrawing on the literature on dynamic skills, this study builds upon and empirically tests a conceptual model that connects business and political ties, organizational unlearning, organizational learning and firm performance. Specifically, this study suggests that business ties enable and political ties inhibit organizational unlearning (i.e. regenerative dynamic capability), which may, in turn, affect exploratory (i.e. renewing dynamic capability) and exploitative (i.e. incremental dynamic capability) innovation behaviors of the firm. Thus, the purpose of this study is to offer a theoretical framework in which organizational unlearning and learning act as mediating mechanisms between business and political ties and firm performance.Design/methodology/approachStructural equation modeling and mediation analyzes were used on a sample of 302 small and medium-size enterprises in Turkey.FindingsThis study found that business ties enable organizational unlearning while political ties impede it. This study further demonstrates that business ties positively and political ties negatively relate to organizational learning through organizational unlearning. In addition, this study shows that political ties are mostly negatively and indirectly related to firm performance through organizational learning while business ties positively and indirectly relate to firm performance.Practical implicationsThe findings demonstrate the critical role that personal networks play in organizational learning and firm performance. This study provides evidence to the need to recognize and evaluate the potential and undesirable impacts of political ties on cultivating innovation skills and firm performance. In addition, this study recommends managers to embrace the significance of organizational unlearning in strategic renewal, particularly as it applies to building renewing and incremental dynamic skills for enhanced firm performance.Originality/valueThis study offers a deeper perspective of the dissected relations of social ties in emerging economies to firm performance by considering organizational unlearning and learning behaviors as mediating mechanisms.