bluuebunny/crossref_metadata_2025_split huggingface dataset:
pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single-cell RNA-seq preprocessing tools
Authors: Germain Pierre-Luc , Sonrel Anthony , Robinson Mark D. 
Published: February 2020

AbstractThe massive growth of single-cell RNA-sequencing (scRNAseq) and the methods for its analysis still lack sufficient and up-to-date benchmarks that could guide analytical choices. Numerous benchmark studies already exist and cover most of scRNAseq processing and analytical methods but only a few give advice on a comprehensive pipeline. Moreover, current studies often focused on isolated steps of the process and do not address the impact of a tool on both the intermediate and the final steps of the analysis. Here, we present a flexible R framework for pipeline comparison with multi-level evaluation metrics. We apply it to the benchmark of scRNAseq analysis pipelines using simulated and real datasets with known cell identities, covering common methods of filtering, doublet detection, normalization, feature selection, denoising, dimensionality reduction and clustering. We evaluate the choice of these tools with multi-purpose metrics to assess their ability to reveal cell population structure and lead to efficient clustering. On the basis of our systematic evaluations of analysis pipelines, we make a number of practical recommendations about current analysis choices and for a comprehensive pipeline. The evaluation framework that we developed,pipeComp(https://github.com/plger/pipeComp), has been implemented so as to easily integrate any other step, tool, or evaluation metric allowing extensible benchmarks and easy applications to other fields of research in Bioinformatics, as we demonstrate through a study of the impact of removal of unwanted variation on differential expression analysis.
Larger bacterial populations evolve heavier fitness trade-offs and undergo greater ecological specialization
Authors: Chavhan Yashraj , Malusare Sarthak , Dey Sutirth 
Published: February 2020

AbstractEvolutionary studies over the last several decades have invoked fitness trade-offs to explain why species prefer some environments to others. However, the effects of population size on trade-offs and ecological specialization remain largely unknown. To complicate matters, trade-offs themselves have been visualized in multiple ways in the literature. Thus, it is not clear how population size can affect the various aspects of trade-offs. To address these issues, we conducted experimental evolution withEscherichia colipopulations of two different sizes in two nutritionally limited environments and studied fitness trade-offs from three different perspectives. We found that larger populations evolved greater fitness trade-offs, regardless of how trade-offs are conceptualized. Moreover, although larger populations adapted more to their selection conditions, they also became more maladapted to other environments, ultimately paying heavier costs of adaptation. To enhance the generalizability of our results, we further investigated the evolution of ecological specialization across six different environmental pairs and found that larger populations specialized more frequently and evolved consistently steeper reaction norms of fitness. This is the first study to demonstrate a relationship between population size and fitness trade-offs and the results are important in understanding the population genetics of ecological specialization and vulnerability to environmental changes.
Position analysis of brushless direct current motor using robust fixed order H-infinity controller
Authors: Hans Sikander , Ghosh Smarajit 
Published: February 2020

Purpose
The efficient speed controller is found to be an important requirement to run the motor for the brushless direct current (BLDC) motor. This requirement is considered as superior, as it may increase the operating speed and system efficiency. In the existing methods, proportional plus integral (PI) controller has been included because of its simple architecture. But the PI controller produces load disturbance, control complexity and some parametric (Proportional plus integral) variations. The purpose of this proposed controller is to overcome the problems produced by PI controller in BLDC motor.

Design/methodology/approach
The proposed BLDC motor is developed with fixed order H-infinity controller. In this architecture, both the weight functions and transfer functions were included to design the controller. This controller has been included in this BLDC to detect the rotor position. The optimal position of rotor is identified by introducing particle swarm optimization algorithm.

Findings
The torque that obtained in the motor is highly reduced by this proposed controller and also enhances the speed. The BLDC motor is modelled in a MATLAB environment.

Practical implications
The performance of the torque, speed and back electro-motive force is analysed and compared with the existing controllers such as fuzzy proportional plus integral plus derivative, sensing algorithm and fuzzy proportional plus derivative controller.

Originality/value
Simulation results show that the proposed technique gives better results than the other existing controllers.
Contending institutional logics, illegitimacy risk and management accounting
Authors: Łada Monika , Kozarkiewicz Alina , Haslam Jim 
Published: January 2020

PurposeThis article explores the influence of duality in institutional logics on internal accounting, with a focus on a Polish public university. More particularly, we answer the research question: how does illegitimacy risk arising from the divergent pressures of the institutional environment impact management accountings in this institution?Design/methodology/approachThis paper seeks to uncover intricacies of notions of internal legitimacy façade, decoupling and counter-coupling in practice. It explores details of organizational responses involving management accounting aimed at reducing illegitimacy risk. Achieving good organizational access, the authors adopt a qualitative case study approach involving contextual appreciation/document analysis/participant observation/discussion with key actors: facilitating building upon theoretical argumentation through finding things out from the field.FindingsThe authors uncover and discuss organizational solutions and legitimizing manoeuvres applied, identifying fouradaptation tacticsin the struggle to support legitimacy that they term ‘ceremonial calculations’, ‘legitimacy labelling’, ‘blackboxing’ and ‘shadow management accounting’. These can be seen in relation to decoupling and counter-coupling. Ceremonial calculations supported the internal façade. Shadow management accounting supported pro-effectiveness. Legitimacy labelling and blackboxing helped bind these two organizational layers, further supporting legitimacy. In interaction the four tactics engendered what can be seen as a ‘counter-coupling’ of management accounting. The authors clarify impacts for management accounting.Research limits/implicationsThe usual limitations of case research apply for generalizability. Theorizing of management accounting in relation to contradictory logics is advanced.Practical implicationsThe article illuminates how management accounting can be understood vis-à-vis contradictory logics.Originality valueElaboration of the tactics and their interaction is a theoretical and empirical contribution. Focus on a Polish university constitutes an empirical contribution.
Antecedents of acceptance and use of a digital library system
Authors: Shivdas Avinash , Menon Dileep G. , Nair Chitra S. 
Published: February 2020

Purpose
The purpose of this paper is to examine the critical factors that drive the adoption of digital library system (DLS) in institutes located in remote India. An integrated model of the unified theory of acceptance and use of technology model-2 (UTAUT2) and information systems success model (ISSM) is used to evaluate the critical factors.

Design/methodology/approach
The survey method of research was used, and the data collected was analysed by using PLS-SEM, which proved helpful to evaluate and validate the model.

Findings
Departing from past research, where most of the factors of the UTAUT2 and ISSM were found to influence the adoption of DLS, in this context, it is noted that performance expectancy, facilitating conditions and habit were the only constructs that influenced the intention to use DLS.

Originality/value
The study addresses the requirement for further research in DLS domain in emerging markets. It is one of the few studies addressing DLS adoption in remote India. The findings are unique to this context, which differ from developed nations, thus, answering the call to advance UTAUT model.
Airbnb and neighbourhoods: an exploratory study
Authors: Petruzzi Marina A. , Marques Gabriela S. , do Carmo Manuel , Correia Antonia 
Published: February 2020

PurposeThis study aims to identify residents’ perceptions of the impacts of Airbnb through an exploratory study that accounts for 94 residents in Lisbon, Portugal, in neighbourhoods with a high number of accommodations listed on the Airbnb platform.Design/methodology/approachA quantitative research was conducted. A questionnaire was designed and administered within the selected neighbourhoods. Factor analysis using the principal component methods is used to reduce the items evaluated.FindingsThe study reveals that residents have perceptions of both agreement and disagreement towards the impacts of the sharing economy in economic, environmental and sociocultural aspects. Positively perceived impacts refer to interactions with tourists, natural preservation and increase in business and job opportunities. Conversely, the growth of rent prices, the increase in noise issues, the change in the local culture and the threat of losing authenticity and traditions are the dimensions that may lead to negatively perceived impacts towards Airbnb.Research limitations/implicationsIn spite of being the largest network for sharing accommodation, Airbnb is not the only one. Research on individual perceptions analyses the understandings of each person, which can be built and shaped by the context. In spite of the potential of the Likert scale, qualitative research should be added to enrich future studies.Practical implicationsThis study identified several challenges for Airbnb and other sharing platforms, including residents’ concerns over noise, the threat of losing identity, changes in the local culture and rise in rent prices.Originality/valueThe study is dedicated to analyzing the host community residents and identifying their perceptions of impacts of the sharing economy. The use of residents’ perceptions provides useful insights that may be considered when planning, developing and implementing local policies.
Social media, media and urban transformation in the context of overtourism
Authors: Jang Hochan , Park Minkyung 
Published: February 2020

PurposeThe purpose of this study is to document how a traditional residential neighborhood, Ihwa village in Seoul, South Korea, is transformed into a tourist attraction and demonstrate the complexity of the overtourism phenomenon and the multifaceted conflicts among stakeholders that emerged in the course of urban transformation. Particularly, the study explores how tourism growth, urban transformation and overtourism are intertwined with each other and how the role of social media and media contributed to tourism growth and the transformation of an urban neighborhood.Design/methodology/approachThe study conducted text analytics (a big data analysis) using personal blogs and news articles. Our data for text analytics was defined to retrieve all news articles and blogs existent in the NAVER portal, the largest Korean portal and search engine, for the period between January 1, 2006, and December 31, 2018. The data was collected using a web crawling program, TEXTOM version 3.0.FindingsText analysis of blog entries and news articles suggests that each medium has its unique role and domain to play. While the news media contributed to the initial surge of interest in Ihwa village, genuine growth of tourism in Ihwa village seems to be attributed to social media. Texts that appeared in blogs strongly indicated that people used their blogs to share their trip experiences, which can be subsequently assumed that blogs had an influential role in promoting a small place like Ihwa mural village, while news articles tended to highlight negative or unusual events occurred in Ihwa village. The study also addressed the multifaceted nature of the conflicts that were inherent in the issue of urban regeneration and how those conflicts were developed and manifested in the process of touristification and overtourism in Ihwa village. As touristification can manifest in various forms in different places, the case of Ihwa village demonstrates a unique development of touristification; private tourism companies or tourism agencies did not initiate or intend to cause tourism gentrification. Rather, touristification is a byproduct of urban revitalization through public art and is a result of interplay between the local government’s interest, social media and new tourist demand.Originality/valueText analytics using big data have rarely been attempted to understand the role of social media in relation to tourism growth and touristification of an urban tourism place. This study advances the literature by applying big data analysis to user-generated content in blogs. The study also contributes to the deeper understanding of a different developmental pattern of touristification in an urban tourism place as well as the complexity of the overtourism phenomenon and the multifaceted conflicts among stakeholders.
Intuitive gesture-based control system with collision avoidance for robotic manipulators
Authors: Rudd Grant , Daly Liam , Cuckov Filip 
Published: February 2020

Purpose
This paper aims to present an intuitive control system for robotic manipulators that pairs a Leap Motion, a low-cost optical tracking and gesture recognition device, with the ability to record and replay trajectories and operation to create an intuitive method of controlling and programming a robotic manipulator. This system was designed to be extensible and includes modules and methods for obstacle detection and dynamic trajectory modification for obstacle avoidance.

Design/methodology/approach
The presented control architecture, while portable to any robotic platform, was designed to actuate a six degree-of-freedom robotic manipulator of our own design. From the data collected by the Leap Motion, the manipulator was controlled by mapping the position and orientation of the human hand to values in the joint space of the robot. Additional recording and playback functionality was implemented to allow for the robot to repeat the desired tasks once the task had been demonstrated and recorded.

Findings
Experiments were conducted on our custom-built robotic manipulator by first using a simulation model to characterize and quantify the robot’s tracking of the Leap Motion generated trajectory. Tests were conducted in the Gazebo simulation software in conjunction with Robot Operating System, where results were collected by recording both the real-time input from the Leap Motion sensor, and the corresponding pose data. The results of these experiments show that the goal of accurate and real-time control of the robot was achieved and validated our methods of transcribing, recording and repeating six degree-of-freedom trajectories from the Leap Motion camera.

Originality/value
As robots evolve in complexity, the methods of programming them need to evolve to become more intuitive. Humans instinctively teach by demonstrating the task to a given subject, who then observes the various poses and tries to replicate the motions. This work aims to integrate the natural human teaching methods into robotics programming through an intuitive, demonstration-based programming method.
A fast detection and grasping method for mobile manipulator based on improved faster R-CNN
Authors: Zhang Hui , Tan Jinwen , Zhao Chenyang , Liang Zhicong , Liu Li , Zhong Hang , Fan Shaosheng 
Published: February 2020

PurposeThis paper aims to solve the problem between detection efficiency and performance in grasp commodities rapidly. A fast detection and grasping method based on improved faster R-CNN is purposed and applied to the mobile manipulator to grab commodities on the shelf.Design/methodology/approachTo reduce the time cost of algorithm, a new structure of neural network based on faster R CNN is designed. To select the anchor box reasonably according to the data set, the data set-adaptive algorithm for choosing anchor box is presented; multiple models of ten types of daily objects are trained for the validation of the improved faster R-CNN. The proposed algorithm is deployed to the self-developed mobile manipulator, and three experiments are designed to evaluate the proposed method.FindingsThe result indicates that the proposed method is successfully performed on the mobile manipulator; it not only accomplishes the detection effectively but also grasps the objects on the shelf successfully.Originality/valueThe proposed method can improve the efficiency of faster R-CNN, maintain excellent performance, meet the requirement of real-time detection, and the self-developed mobile manipulator can accomplish the task of grasping objects.
Internet of Things technology applications in the workplace environment: a critical review
Authors: Nappi Ingrid , de Campos Ribeiro Gisele 
Published: January 2020

PurposeThe purpose of this study is to examine the use of IoT technology (RFID technology, sensor networks, wearable devices and other smart items) in office settings and its respective impact on the optimization of employees’ productivity and workspace effectiveness.Design/methodology/approachThe paper reviews 41 relevant publications reporting IoT use in office settings to identify how this technology has been applied in office settings and what topics are mostly addressed in the literature; how IoT technology improves employees’ productivity; and what the benefits and risks associated with IoT use in the workplace environment are.FindingsTwo main areas of application of IoT technology in the workplace environment were identified. The first one concerns the influence of the physical characteristics of workplaces on aspects related to workspace effectiveness. The second one is employee-centered and concerns the use of IoT data to identify employees’ social behavior, physiological data and emotional estates associated with productivity. IoT technology provides real-time data with speedy information retrieval. However, its deployment in office settings is not exempt from risks. Employee workplace surveillance, re-individualization of the IoT data and employee refusal of IoT technology in office settings are the main risks associated with this technology.Originality/valueThis literature review categorizes IoT application in office settings according to two perspectives and highlights employees' attitudes, user-experience of IoT technology and the risks associated with this technology. These results will help researchers and workplace managers interested in the deployment of this technology in the workplace environment.
Whistleblowing Incentives
Authors: Teichmann Fabian Maximilian , Falker Marie-Christin 
Published: February 2020

Purpose
The purpose of the paper is to illustrate how companies may benefit from whistleblowing and how whistleblowing may be incentivized to more effectively combat corruption.

Design/methodology/approach
No clear hypothesis could be formulated based on the literature review. Therefore, an explorative approach was selected for the purpose of this study. Ten selected compliance experts were interviewed, and the results were subjected to summarizing content analysis.

Findings
It was found that corruption, particularly bribery, continues to be prevalent in many corporations and that current anti-bribery incentives are rather inefficient. It was also found that whistleblowing incentives have thus far not been investigated in sufficient depth in the literature, despite the fact that they can be immensely useful in combating corruption.

Research limitations/implications
Interviews with different experts, at different times, or selecting experts from different locations could have led to diverging results.

Practical implications
Incentive systems, particularly whistleblowing incentives, can be designed to prevent corruption in multinational corporations.

Originality/value
This study explores a new field and develops innovative theory to gain a deeper understanding of whistleblowing.
The Chief Registrar role in the UK: leadership capacity and development of hybrid leaders
Authors: Snelling Iain , Exworthy Mark , Ghezelayagh Shahin 
Published: January 2020

PurposeThe purpose of the study is to evaluate the first cohort of the Royal College of Physicians' (RCP) Chief Registrar programme in 2016/7. Chief Registrars provide medical leadership capacity through leadership development posts.Design/methodology/approachThe study adopted a mixed methods design, comprising a monthly survey of the 21 Chief Registrars in the first cohort, interviews with Chief Registrars, and six cases studies where Chief Registrars and colleagues were interviewed.FindingsChief Registrars enjoyed high levels of practical, professional, and leadership support from their employing organisations, the RCP, and the Faculty of Medical Leadership and Management. They had high degrees of autonomy in their roles. As a result, roles were enacted in different ways, making direct comparative evaluation problematic. In particular, we identified variation on two dimensions: first, the focus on medical leadership generally, or quality improvement more specifically, and second, the focus on personal development or organisational leadership capacity.Research limitations/implicationsThe data are limited and drawn from the first cohort's experience. The Chief Registrar scheme, unlike many other leadership fellowships, maintains a high level of clinical practice (with a minimum 40 per cent leadership work). This suggests a clearer preparation for future hybrid leadership roles.Practical implicationsThis paper may offer some support and guidance for Chief Registrars and those who work with and support them.Originality/valueThis study adds to the literature on leadership development for doctors in hybrid roles, and highlights the distinctiveness of the scheme compared with other schemes.