bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating new evidence in the early dynamics of the novel coronavirus COVID-19 outbreak in Wuhan, China with real time domestic traffic and potential asymptomatic transmissions
Authors: Zhou Can 
Published: February 2020

AbstractThe novel coronavirus (COVID-19), first detected in Wuhan, China in December 2019, has spread to 28 countries/regions with over 43,000 confirmed cases. Much about this outbreak is still unknown. At this early stage of the epidemic, it is important to investigate alternative sources of information to understand its dynamics and spread. With updated real time domestic traffic, this study aims to integrate recent evidence of international evacuees extracted from Wuhan between Jan. 29 and Feb. 2, 2020 to infer the dynamics of the COVD-19 outbreak in Wuhan. In addition, a modified SEIR model was used to evaluate the empirical support for the presence of asymptomatic transmissions. Based on the data examined, this study found little evidence for the presence of asymptomatic transmissions. However, it is still too early to rule out its presence conclusively due to sample size and other limitations. The updated basic reproductive number was found to be 2.12 on average with a 95% credible interval of [2.04, 2.18]. It is smaller than previous estimates probably because the new estimate factors in the social and non-pharmaceutical mitigation implemented in Wuhan through the evacuee dataset. Detailed predictions of infected individuals exported both domestically and internationally were produced. The estimated case confirmation rate has been low but has increased steadily to 23.37% on average. The findings of this study depend on the validity of the underlying assumptions, and continuing work is needed, especially in monitoring the current infection status of Wuhan residents.
Study on SARS-COV-2 transmission and the effects of control measures in China
Authors: Zhang Bo , Zhou Hongwei , Zhou Fang 
Published: February 2020

ObjectiveTo reconstruct the transmission trajectory of SARS-COV-2 and analyze the effects of control measures in China.MethodsPython 3.7.1 was used to write a SEIR class to model the epidemic procedure and a back propagation class to estimate the initial true infected number. The epidemic area in China was divided into three parts, Wuhan city, Hubei province (except Wuhan) and China (except Hubei) based on the different transmission pattern. A limitation factor for the medical resource was imposed to model the infected but not quarantined. Credible data source from Baidu Qianxi were used to assess the number of infected cases migrated from Wuhan to other areas.ResultsBasic reproduction number, R0, was 3.6 in the very early stage. The true infected number was 4508 in our model in Wuhan before January 22, 2020. By January 22 2020, it was estimated that 1764 infected cases migrated from Wuhan to other cities in Hubei province. Effective reproductive number, R, gradually decreased from 3.6 (Wuhan, stage 1), 3.4 (Hubei except Wuhan, stage 1) and 3.3 (China except Hubei, stage 1) to 0.67 (Wuhan, stage 4), 0.83 (Hubei except Wuhan, stage 2) and 0.63 (China except Hubei, stage 2), respectively. Especially after January 23, 2020 when Wuhan City was closed, the infected number showed a turning point in Wuhan. By early April, there would be 42073, 21342 and 13384 infected cases in Wuhan, Hubei (except Wuhan) and China (except Hubei) respectively, and there would be 2179, 633 and 107 death in Wuhan, Hubei (except Wuhan) and China (except Hubei) respectively.ConclusionA series of control measures in China have effectively prevented the spread of COVID-19, and the epidemic will end in early April.
Autonomic arousal tracks outcome salience not valence in monkeys making social decisions
Authors: Basile Benjamin M. , Joiner Jessica A. , Monte Olga Dal , Fagan Nicholas A. , Karaskiewicz Chloe L. , Lucas Daniel R. , Chang Steve W. C. , Murray Elisabeth A. 
Published: February 2020

AbstractThe evolutionary and neural underpinnings of human prosociality are still largely unknown. A growing body of evidence suggests that some species find the sight of another individual receiving a reward reinforcing, often called vicarious reinforcement. One hypothesis is that vicarious reward is reinforcing because it is arousing like a primary reward. We evaluated this hypothesis by measuring the autonomic pupil response of eight monkeys across two laboratories in two different versions of a vicarious reinforcement paradigm. Monkeys were cued as to whether an upcoming reward would be delivered to them, another monkey, or nobody and could accept or decline the offer. As expected, all monkeys in both laboratories showed a marked preference for juice to the self, together with a reliable prosocial preference for juice to a social partner compared to juice to nobody. However, contrary to the autonomic arousal hypothesis, we found that pupils were widest in anticipation of juice to the self, moderately-sized in anticipation of juice to nobody, and narrowest in anticipation of juice to a social partner. This effect was seen across both laboratories and regardless of specific task parameters. The seemingly paradoxical pupil effect can be explained by a model in which pupil size tracks outcome salience, prosocial tendencies track outcome valence, and the relation between salience and valence is U-shaped.
Consilience in the Peripheral Sensory Adaptation Response
Authors: Wong Willy 
Published: February 2020

AbstractMeasurements of the peripheral sensory adaptation response were compared to a simple mathematical relationship involving the spontaneous, peak and steady-state activities. This relationship is based on the geometric mean and is found to be obeyed to good approximation in peripheral sensory units showing a sustained response to prolonged stimulation. From an extensive review of past studies, the geometric mean relationship is shown to be independent of modality and is satisfied in a wide range of animal species. The consilience of evidence, from nearly one hundred years of experiments beginning with the work of Edgar Adrian, suggests that this is a fundamental result of neurophysiology.
Association between 2019-nCoV transmission and N95 respirator use
Authors: Wang Xinghuan , Pan Zhenyu , Cheng Zhenshun 
Published: February 2020

Abstract2019-nCoV had caused pneumonia outbreak in Wuhan. Existing evidence have confirmed the human-to-human transmission of 2019-nCoV. We retrospectively collected infection data from 2 January to 22 January at six departments from Zhongnan Hospital of Wuhan University. In our study, we found N95 respirators, disinfection and hand washing can help to reduce the risk of 2019-nCoV infection in medical staffs. Our results call for re-emphasizing strict occupational protection code in battling this novel contagious disease. The risk of 2019-nCoV infection was higher in the open area than in the quarantined area. N95 may be more effective for 2019-nCoV infections.
The PP2A/4/6 subfamily of phosphoprotein phosphatases regulates DAF-16 during aging and confers resistance to environmental stress in postreproductive adultC. elegans
Authors: Rivard Rebecca S. , Morris Julia M. , Youngman Matthew J. 
Published: February 2020

AbstractInsulin and insulin-like growth factors are longevity determinants that negatively regulate Forkhead box class O (FoxO) transcription factors. InC. elegansmutations that constitutively activate DAF-16, the ortholog of mammalian FoxO3a, extend lifespan by two-fold. While environmental insults induce DAF-16 activity in younger animals, it also becomes activated in an age-dependent manner in the absence of stress, modulating gene expression well into late adulthood. The mechanism by which DAF-16 activity is regulated during aging has not been defined. Since phosphorylation of DAF-16 generally leads to its inhibition, we asked whether phosphatases might be necessary for its increased transcriptional activity in adultC. elegans. We focused on the PP2A/4/6 subfamily of phosphoprotein phosphatases, members of which had been implicated to regulate DAF-16 under low insulin signaling conditions but had not been investigated during aging in wildtype animals. Using reverse genetics, we functionally characterized allC. elegansorthologs of human catalytic, regulatory, and scaffolding subunits of PP2A/4/6 holoenzymes in postreproductive adults. We found that PP2A complex constituents PAA-1 and PPTR-1 regulate DAF-16 during aging and that they cooperate with the catalytic subunit LET-92 to protect adult animals from ultraviolet radiation. PP4 complex members PPH-4.1/4.2, SMK-1, and PPFR-2 also appear to regulate DAF-16 in an age-dependent manner, and they contribute to innate immunity. Interestingly, SUR-6 but no other subunit of the PP2A complex was necessary for the survival of pathogen-infected animals, suggesting that a heterotypic PP4 complex functions during aging. Finally, we found that PP6 complex constituents PPH-6 and SAPS-1 contribute to host defense during aging, apparently without affecting DAF-16 transcriptional activity. Our studies indicate that a set of PP2A/4/6 complexes protect adultC. elegansfrom environmental stress, thus preserving healthspan. Therefore, along with their functions in cell division and development, the PP2A/4/6 phosphatases also appear to play critical roles later in life.
Magnetometer-based autonomous orbit determination via a measurement differencing extended Kalman filter during geomagnetic storms
Authors: Cui Feng , Gao Dong , Zheng Jianhua 
Published: February 2020

Purpose
The main reason for the low accuracy of magnetometer-based autonomous orbit determination is the coarse accuracy of the geomagnetic field model. Furthermore, the geomagnetic field model error increases obviously during geomagnetic storms, which can still further reduce the navigation accuracy. The purpose of this paper is to improve the accuracy of magnetometer-based autonomous orbit determination during geomagnetic storms.

Design/methodology/approach
In this paper, magnetometer-based autonomous orbit determination via a measurement differencing extended Kalman filter (MDEKF) is studied. The MDEKF algorithm can effectively remove the time-correlated portion of the measurement error and thus can evidently improve the accuracy of magnetometer-based autonomous orbit determination during geomagnetic storms. Real flight data from Swarm A are used to evaluate the performance of the MDEKF algorithm presented in this study. A performance comparison between the MDEKF algorithm and an extended Kalman filter (EKF) algorithm is investigated for different geomagnetic storms and sampling intervals.

Findings
The simulation results show that the MDEKF algorithm is superior to the EKF algorithm in terms of estimation accuracy and stability with a short sampling interval during geomagnetic storms. In addition, as the size of the geomagnetic storm increases, the advantages of the MDEKF algorithm over the EKF algorithm become more obvious.

Originality/value
The algorithm in this paper can improve the real-time accuracy of magnetometer-based autonomous orbit determination during geomagnetic storms with a low computational burden and is very suitable for low-orbit micro- and nano-satellites.
Perceived social media marketing activities and consumer-based brand equity
Authors: Koay Kian Yeik , Ong Derek Lai Teik , Khoo Kim Leng , Yeoh Hui Jing 
Published: February 2020

PurposeThe purpose of this research is to investigate the influence of perceived social media marketing activities on consumer-based brand equity, mainly predicated on the S-O-R model. Furthermore, brand experience is tested as a mediator of the relationship between perceived social media marketing activities and consumer-based brand equity, whereas co-creation behaviour is also examined as a moderator on the relationship between perceived social media marketing activities and brand experience.Design/methodology/approachA structured survey questionnaire was developed and distributed to social media users from a large private university in Malaysia. A total of 253 valid responses were obtained. Hypotheses were tested employing partial least squares structural equation modelling (PLS-SEM).FindingsThe results indicated that perceived social media marketing activities have a significant positive influence on consumer-based brand equity. In addition, brand experience mediates the relationship between perceived social media marketing activities and consumer-based brand equity. Surprisingly, co-creation behaviour was found to have no moderating effect on the relationship between perceived social media marketing activities and brand experience. Furthermore, using the PROCESS macro, we found that the indirect effect of perceived social media marketing activities on consumer-based brand equity through brand experience is not moderated by co-creation behaviour.Originality/valueThis research further extended the current knowledge by demonstrating that the influence of perceived social media marketing activities on consumer-based brand equity is mediated by brand experience. Also, this research utilised the strength of PLS–SEM in dealing with higher-order constructs, allowing us to develop and test a parsimonious model that is useful for practitioners.
Examining college student retention: a closer look at low self-control
Authors: Stephenson Amber L. , Heckert D. Alex , Yerger David B. 
Published: February 2020

PurposeThe purpose of this paper is to comprehensively explore the association between low self-control and college student retention.Design/methodology/approachCross-sectional survey data were obtained from 369 undergraduate students in the USA and combined with follow-up data on retention. Factor analysis was used to develop and validate the abbreviated eight-item low self-control instrument. Propensity score matching, an analytic technique that permits the assertion of causality without the need for experimental design, was used to examine the relationship between low self-control and second-semester college retention. Use of propensity score matching permitted the pairing of survey respondents under the defined circumstance of low self-control with those respondents not having low self-control under multiple relevant covariates.FindingsThe results showed a relationship between low self-control and college retention. Specifically, in the matched sample, those students with low self-control were 8 percent less likely to be retained at the institution at the onset of the second year than their counterparts with higher self-control.Practical implicationsThe results of the study prompt the important question of how colleges and universities can alter their structures and processes to better support students with low self-control. Key managerial and administrative implications from the findings of this study revolve around the recognition, motivation, and subsequent performance appraisals of those students with low self-control.Originality/valueThis study extends the quite limited research on how low self-control correlates with retention and subsequently offers insights on how to further support students with low self-control as a way to improve retention outcomes. Additionally, the validated eight-item survey provides a quick, low-cost assessment tool for interested researchers and managers.
Designing predictive maintenance systems using decision tree-based machine learning techniques
Authors: Kaparthi Shashidhar , Bumblauskas Daniel 
Published: February 2020

PurposeThe after-sale service industry is estimated to contribute over 8 percent to the US GDP. For use in this considerably large service management industry, this article provides verification in the application of decision tree-based machine learning algorithms for optimal maintenance decision-making. The motivation for this research arose from discussions held with a large agricultural equipment manufacturing company interested in increasing the uptime of their expensive machinery and in helping their dealer network.Design/methodology/approachWe propose a general strategy for the design of predictive maintenance systems using machine learning techniques. Then, we present a case study where multiple machine learning algorithms are applied to a particular example situation for an illustration of the proposed strategy and evaluation of its performance.FindingsWe found progressive improvements using such machine learning techniques in terms of accuracy in predictions of failure, demonstrating that the proposed strategy is successful.Research limitations/implicationsThis approach is scalable to a wide variety of applications to aid in failure prediction. These approaches are generalizable to many systems irrespective of the underlying physics. Even though we focus on decision tree-based machine learning techniques in this study, the general design strategy proposed can be used with all other supervised learning techniques like neural networks, boosting algorithms, support vector machines, and statistical methods.Practical implicationsThis approach is applicable to many different types of systems that require maintenance and repair decision-making. A case is provided for a cloud data storage provider. The methods described in the case can be used in any number of systems and industrial applications, making this a very scalable case for industry practitioners. This scalability is possible as the machine learning techniques learn the correspondence between machine conditions and outcome state irrespective of the underlying physics governing the systems.Social implicationsSustainable systems and operations require allocating and utilizing resources efficiently and effectively. This approach can help asset managers decide how to sustainably allocate resources by increasing uptime and utilization for expensive equipment.Originality/valueThis is a novel application and case study for decision tree-based machine learning that will aid researchers in developing tools and techniques in this area as well as those working in the artificial intelligence and service management space.
Selecting a proper construction system in small and medium mass housing projects, considering success criteria and construction volume and height
Authors: Noorzai Esmatullah , Golabchi Mahmood 
Published: February 2020

Purpose
As the population grows, one of the major global crises is the management of human settlement. A proper solution to deal with this issue is mass housing. Given the variable needs in these projects, two constraints of height and volume of construction play an essential role in fulfilling success criteria. Hence, this paper aims to choose the most appropriate building method to satisfy time, cost, quality and safety factors considering the volume and height of construction.

Design/methodology/approach
In this research, the proper construction methods in mass housing projects in two volumes of up to 1000 (small) and 1000-3000 (medium) residential units in three ranges of the height of 5, 5-10, and higher than ten floors were determined with a focus on the success criteria based on real experiences through questionnaires and interviews.

Findings
The results show that steel bolt and nut and tunnel framework systems in higher than five-floor building projects act better than other methods, while in up to five-floor building projects, LSF saves time and cost and steel bolt and nut provides higher quality and safety.

Originality/value
Given the extent of work, the results of this research can be considered as a benchmark in the mass housing industry.
Facility management services and employee well-being
Authors: Arampatzi Efstratia , Burger Martijn 
Published: February 2020

Purpose
Although a large number of studies have examined the relationship between the physical work environment and employee performance, the relationship between employee well-being and facility management (FM) has received limited attention. The purpose of this paper is to explore the relationship between FM services and employee well-being in terms of job satisfaction, satisfaction with the workplace, job affect and engagement within the context of the job demands-resources (JD-R) model, distinguishing between soft FM services and hard FM services.

Design/methodology/approach
The analysis is based on the responses of 1,390 employees, who responded to all the relevant items used in this analysis. In addition to the linear estimations, the research uses an instrumental variable (IV) estimation, the Lewbel IV estimator (Lewbel, 2012), to establish a causal relationship between FM services and employee well-being.

Findings
The findings of this paper suggest that there is a positive relationship between the FM index and the four well-being proxies. In addition, the findings indicate that the effect of soft FM on employee well-being is generally weaker than the effect of hard FM, especially with regard to job affect and engagement.

Originality/value
The current research treats FM services as a resource instead of a cost and goes beyond the financial value of FM by providing a quantitative analysis on the added value of FM services in terms of employee well-being. Most importantly, this study incorporates FM services in the JD-R model and uses an alternative approach to linear regression and traditional IV regression to solve for endogeneity issues.
Simulation educators in clinical work: the manager's perspective
Authors: Tamás Éva , Södersved Källestedt Marie-Louise , Hult Håkan , Carlzon Liisa , Karlgren Klas , Berndtzon Magnus , Hultin Magnus , Masiello Italo , Allvin Renée 
Published: February 2020

PurposeInformation is scarce on healthcare managers' understanding of simulation educators' impact on clinical work. Therefore, the aim of this study was to explore healthcare managers' perceptions of the significance of clinically active simulation educators for the organisation.Design/methodology/approachHealthcare managers were invited to be interviewed in a semi-structured manner. Inductive thematic analysis was used to identify and analyse patterns of notions describing the managers' perceptions of simulation educators' impact as co-workers on their healthcare organisations.FindingsThe identified relevant themes for the healthcare unit were: (1) value for the manager, (2) value for the community and (3) boundaries. Simulation educators were perceived to be valuable gatekeepers of evidence-based knowledge and partners in leadership for educational issues. Their most prominent value for the community was establishing a reflective climate, facilitating open communication and thereby improving the efficacy of teamwork. Local tradition, economy, logistics and staffing of the unit during simulation training were suggested to have possible negative impacts on simulation educators' work.Practical implicationsThe findings might have implications for the implementation and support of simulation training programs.Social implicationsHealthcare managers appreciated both the personal value of simulation educators and the effect of their work for their own unit. Local values were prioritised versus global. Simulation training was valued as an educational tool for continual professional development, although during the interviews, the managers did not indicate the importance of employment of pedagogically competent and experienced staff.Originality/valueThe study provided new insights about how simulation educators as team members affect clinical practice.