bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comparative Study of the Turnover of Multiciliated Cells in the Mouse Trachea, Oviduct and Brain
Authors: Roberson Elle C. , Tran Ngan Kim , Konjikusic Mia J. , Fitch Rebecca D. , Gray Ryan S. , Wallingford John B. 
Published: December 2019

AbstractIn mammals, multiciliated cells (MCCs) line the lumen of the trachea, oviduct, and brain ventricles, where they drive fluid flow across the epithelium. Each MCC population experiences vastly different local environments that may dictate differences in their lifetime and turnover rates. However, with the exception of MCCs in the trachea, the turnover rates of these multiciliated epithelial populations at extended time scales are not well described. Here, using genetic lineage-labeling techniques we provide a direct comparison of turnover rates of MCCs in these three different tissues. We find that oviduct turnover is similar to that in the airway (∼6 months), while multiciliated ependymal cells turnover more slowly.
Cooling of medial septum reveals theta phase lag coordination of hippocampal cell assemblies
Authors: Petersen Peter C. , Buzsáki György 
Published: December 2019

SummaryHippocampal theta oscillations coordinate neuronal firing to support memory and spatial navigation. The medial septum (MS) is critical in theta generation by two possible mechanisms: either a unitary ‘pacemaker’ timing signal is imposed on the hippocampal system or it may assist in organizing target subcircuits within the phase space of theta oscillations. We used temperature manipulation of the MS to test these models. Cooling of the MS reduced both theta frequency and power, was associated with enhanced incidence of errors in a spatial navigation task but did not affect spatial correlates of neurons. MS cooling decreased theta frequency oscillations of place cells, reduced distance-time compression but preserved distance-phase compression of place field sequences within the theta cycle. Thus, septal computation contributes not only theta pacing but is also critical for sustaining precise theta phase-coordination of cell assemblies in the hippocampus.
Overcoming High Nanopore Basecaller Error Rates for DNA Storage Via Basecaller-Decoder Integration and Convolutional Codes
Authors: Chandak Shubham , Neu Joachim , Tatwawadi Kedar , Mardia Jay , Lau Billy , Kubit Matthew , Hulett Reyna , Griffin Peter , Wootters Mary , Weissman Tsachy , Ji Hanlee 
Published: December 2019

ABSTRACTAs magnetization and semiconductor based storage technologies approach their limits, bio-molecules, such as DNA, have been identified as promising media for future storage systems, due to their high storage density (petabytes/gram) and long-term durability (thousands of years). Furthermore, nanopore DNA sequencing enables high-throughput sequencing using devices as small as a USB thumb drive and thus is ideally suited for DNA storage applications. Due to the high insertion/deletion error rates associated with basecalled nanopore reads, current approaches rely heavily on consensus among multiple reads and thus incur very high reading costs. We propose a novel approach which overcomes the high error rates in basecalled sequences by integrating a Viterbi error correction decoder with the basecaller, enabling the decoder to exploit the soft information available in the deep learning based basecaller pipeline. Using convolutional codes for error correction, we experimentally observed 3x lower reading costs than the state-of-the-art techniques at comparable writing costs.The code, data and Supplementary Material is available at https://github.com/shubhamchandak94/nanopore_dna_storage.
Living materials with programmable functionalities grown from engineered microbial co-cultures
Authors: Gilbert Charlie , Tang Tzu-Chieh , Ott Wolfgang , Dorr Brandon A. , Shaw William M. , Sun George L. , Lu Timothy K. , Ellis Tom 
Published: December 2019

ABSTRACTBiological systems assemble tissues and structures with advanced properties in ways that cannot be achieved by man-made materials. Living materials self-assemble under mild conditions, are autonomously patterned, can self-repair and sense and respond to their environment. Inspired by this, the field of engineered living materials (ELMs) aims to use genetically-engineered organisms to generate novel materials. Bacterial cellulose (BC) is a biological material with impressive physical properties and low cost of production that is an attractive substrate for ELMs. Inspired by how plants build materials from tissues with specialist cells we here developed a system for making novel BC-based ELMs by addition of engineered yeast programmed to add functional traits to a cellulose matrix. This is achieved via a synthetic ‘symbiotic culture of bacteria and yeast’ (Syn-SCOBY) approach that uses a stable co-culture ofSaccharomyces cerevisiaewith BC-producingKomagataeibacter rhaeticusbacetria. Our Syn-SCOBY approach allows inoculation of engineered cells into simple growth media, and under mild conditions materials self-assemble with genetically-programmable functional properties in days. We show that co-cultured yeast can be engineered to secrete enzymes into BC, generating autonomously grown catalytic materials and enabling DNA-encoded modification of BC bulk material properties. We further developed a method for incorporatingS. cerevisiaewithin the growing cellulose matrix, creating living materials that can sense chemical and optical inputs. This enabled growth of living sensor materials that can detect and respond to environmental pollutants, as well as living films that grow images based on projected patterns. This novel and robust Syn-SCOBY system empowers the sustainable production of BC-based ELMs.
A deep learning based automatic surface segmentation algorithm for painting large-size aircraft with 6-DOF robot
Authors: Wang Guolei , Hua Xiaotong , Xu Jing , Song Libin , Chen Ken 
Published: December 2019

Purpose
This paper aims to achieve automatically surface segmentation for painting different kinds of aircraft efficiently considering the demands of painting robot.

Design/methodology/approach
This project creatively proposed one method that accepts point cloud, outputs several blocks, each of which can be handled by ABB IRB 5500 in one station. Parallel PointNet (PPN) is proposed in this paper for better handling six dimensional aircraft data including every point normal. Through semantic segmentation of PPN, each surface has its own identity information indicating which part this surface belongs to. Then clustering considering constraints is applied to complete surface segmentation with identity information. To guarantee segmentation paintable and improve painting efficiency, different dexterous workspaces of IRB 5500 corresponding to different postures have been analyzed carefully.

Findings
The experiments confirm the effectiveness of the proposed surface segmentation method for painting different types of aircraft by IRB 5500. For semantic segmentation on aircraft data with point normal, PPN has higher precision than PointNet. In addition, the whole algorithm can efficiently segment one complex aircraft into qualified blocks, each of which has its own identity information, can be painted by IRB 5500 in one station and has fewer edges with other blocks.

Research limitations/implications
As the provided experiments indicate, the proposed method can segment one aircraft into qualified blocks automatically, which highly improves the efficiency in aircraft painting compared with traditional approaches. Moreover, the proposed method is able to provide identity information of each block, which is necessary for application of different paint parameters and different paint materials. In addition, final segmentation results by the proposed method behaves better than k-means cluster on variance of normal vector distance.

Originality/value
Inspired by semantic segmentation of 3 D point cloud, some improvements based on PointNet have been proposed for better handling segmentation of 6 D point cloud. By introducing normal vectors, semantic segmentation could be accomplished precisely for close points with opposite normal, such as wing upper and lower surfaces. Combining deep learning skills with traditional methods, the proposed method is proved to behave much better for surface segmentation task in aircraft painting.
Modeling of rotation accuracy of multi-support rotating machinery considering geometric errors and part deformation
Authors: Sun Yanhui , Guo Junkang , Hong Jun , Liu Guanghui 
Published: December 2019

Purpose
This paper aims to develop a theoretical method to analyze the rotation accuracy of rotating machinery with multi-support structures. The method effectively considers the geometric errors and assembly deformation of parts.

Design/methodology/approach
A method composed of matrix and FEA methods is proposed to do the analysis. The deviation propagation analysis results and external loads are set as boundary conditions of the model which is built with Timoshenko beam elements to calculate the spatial pose of the rotor. The calculation is performed repeatedly as the rotation angle increased to get the rotation trajectories of concerned nodes, and further evaluation is done to get the rotation accuracy. Additionally, to get more reliable results, the bearing motion errors and stiffness are analyzed by a static model considering manufacturing errors of parts.

Findings
The feasibility of the proposed method is verified through a case study of a high-precision spindle. The method reasonably predicts the rotation accuracy of the spindle.

Originality/value
For rotating machinery with multi-support structures, the paper proposes a modeling method to predict the rotation accuracy, simultaneously considering geometric errors and assembly deformation of parts. This would improve the accuracy of tolerance analysis.
Image-based visual servoing using a set for multiple pin-in-hole assembly
Authors: Liu Chicheng , Song Libin , Chen Ken , Xu Jing 
Published: December 2019

Purpose
This paper aims to present an image-based visual servoing algorithm for a multiple pin-in-hole assembly. This paper also aims to avoid the matching and tracking of image features and the remaining robust against image defects.

Design/methodology/approach
The authors derive a novel model in the set space and design three image errors to control the 3 degrees of freedom (DOF) of a single-lug workpiece in the alignment task. Analytic computations of the interaction matrix that link the time variations of the image errors to the single-lug workpiece motions are performed. The authors introduce two approximate hypotheses so that the interaction matrix has a decoupled form, and an auto-adaptive algorithm is designed to estimate the interaction matrix.

Findings
Image-based visual servoing in the set space avoids the matching and tracking of image features, and these methods are not sensitive to image effects. The control law using the auto-adaptive algorithm is more efficient than that using a static interaction matrix. Simulations and real-world experiments are performed to demonstrate the effectiveness of the proposed algorithm.

Originality/value
This paper proposes a new visual servoing method to achieve pin-in-hole assembly tasks. The main advantage of this new approach is that it does not require tracking or matching of the image features, and its supplementary advantage is that it is not sensitive to image defects.
Intellectual virtue and virtue epistemology: Leveraging knowledge for sustainable results
Authors: Bohl Kenneth 
Published: December 2019

Purpose
The purpose of this paper is to introduce virtue epistemology as a complementary approach to how we learn and make wise decisions within organizations.

Design/methodology/approach
Drawing on a philosophic history of intellectual virtue and recent research into virtue epistemology, this article presents an applied theoretical approach for practitioners to use in developing a more robust learning environment.

Findings
With robust market and operational databases of information, organizations continue to face the difficult decision of what this data means and what they can do with it. This article suggests intellectual virtue as a tool to develop appropriate knowledge, informed practical actions and sustainable outcomes.

Practical implications
Volatility, uncertainty, complexity and ambiguity have led to increasing rates of change in organizations. Organizations rely increasingly on their ability to observe, analyze, interpret and ultimately make decisions and act in ways that ensure sustainable results. This article provides an alternative perspective to complement traditional problem solving and decision-making processes.

Originality/value
There is currently limited research into the applicability of intellectual virtue or virtue epistemology to the field of organizational development and learning.
How do safety engineers improve their job performance? The roles of influence tactics, expert power, and management support
Authors: Bunner Johanna , Prem Roman , Korunka Christian 
Published: December 2019

Purpose
Non-technical skills are of increasing importance for safety engineers to perform their job. In their position as expert consultants, they work closely with managers. Thus, gaining management support is oftentimes crucial for safety engineers to successfully improve occupational health and safety. Drawing on organizational support theory (OST), this study investigates how safety engineers’ non-technical skills in communication and persuasion (i.e. rational and hard influence tactics) are related with their management support, and how management support is related with their individual task proficiency (ITP). The purpose of this paper is to examine the moderating role of safety engineers’ expert power in this context.

Design/methodology/approach
Using an online questionnaire, survey data were collected from 251 safety engineers working in Austria.

Findings
Rational influence tactics are positively related to ITP via management support, whereas hard influence tactics are not. Safety engineers’ expert power moderates the relationship between influence tactics and management support and, consequently ITP. High (vs low) expert status strengthens the positive relationship of rational influence tactics on ITP via management support. For hard influence tactics, high (vs low) expert power buffered the negative relationship of upward appeal and pressure on ITP via management support.

Practical implications
Safety engineers should rely on rational persuasion when cooperating with management to obtain support and improve their own performance.

Originality/value
This study connects the effect of influence tactics in the context of safety engineers’ work performance with OST. It demonstrates that safety engineers’ influence tactics are related to work role performance through management support and that these relationships are moderated by expert power.
Family friendly policies and the Omani Labour Law
Authors: Belwal Shweta , Belwal Rakesh , Al-Hashemi Suhaila Ebrahim 
Published: December 2019

PurposeThe purpose of this paper is to take cognisance of the work–life balance (WLB) challenges facing working women in Oman, make a review of the family-friendly policies (FFPs), related provisions in labour laws of various nations, and identify and suggest some FFP-based solutions for attracting women to private sector jobs.Design/methodology/approachInitially, desk research was used to review the labour laws of the six Gulf Cooperation Council (GCC) countries and some pioneering countries known for their workplace policies using the major electronic databases and official websites. An exploratory approach was used to understand the lived experience of participants using 46 in-depth interviews. The data were analysed and the findings were explained and contextualised in terms of the Arab culture, wider social processes and consequences related to WLB.FindingsThe interviews revealed that the majority of women in the private sector are not fully aware of the labour laws and FFPs, and are not satisfied with the existing policies, as they do not provide the right WLB. Women in the private sector demand flexible working hours, privacy at work, reduced work hours and certain other benefits akin to the government sector. Omani Labour Law needs a review of FFPs in line with the best global practices and Oman’s diversification initiatives. The provision, awareness and implementation of FFPs in the workplace are necessary to attract Omani women to private sector jobs.Research limitations/implicationsThis research focusses on Oman in particular and GCC countries in general in its coverage of Omani women workers. The outcomes would be important for the specific segment but would have limited potential to generalise.Practical implicationsThe study of WLB and FFPs is of interest for both academia and industry globally. In its strategic vision 2040, Oman aims to encourage, support and develop the private sector to drive the national economy. To retain and boost the socio-economic development in the post-oil economy, the success of the private sector will depend on the participation of the Omani workforce. The role of working Omani women will be pivotal, for they form a substantial part of the skilled human resources inventory.Social implicationsWomen working in Oman are influenced by labour laws, organisational culture, traditional attitudes and societal values and influences. The voices of women working in the private sector indicate a great need to create awareness of existing policies, ensure their compliance and devise additional workplace policies to enable women to contribute to the labour market.Originality/valueThere is a dearth of studies examining work policies and employment of women in the context of Oman in particular and the GCC Countries in general. Even in the extant literature, the sectoral imbalance between the government and private sector has not been explored from the perspective of WLB and FFPs. This study presents a unique approach and findings in this regard.
Brand equity in Caribbean financial services: the moderating role of service providers
Authors: Rambocas Meena , Arjoon Surendra 
Published: December 2019

Purpose
The purpose of this paper is to develop an integrated model to represent how service experience (core, employee and service scale), customer satisfaction (transaction-specific and cumulative) and brand affinity influence brand equity in financial services, taking into account the moderating influence of financial service providers.

Design/methodology/approach
Data were collected from 751 customers in three types of financial service providers (banks, insurance companies and credit unions), and analyzed with structural equation modeling and multi-group analysis.

Findings
The findings confirm the significant and positive influence of service experience, customer satisfaction and brand affinity on brand equity. Employee service experience has the strongest influence, but its impact is mediated by customer satisfaction. Brand affinity has the lowest influence on brand equity. The type of financial service provider moderates the influence of customer satisfaction on brand equity; transactional satisfaction is more important for credit unions and insurance companies, but cumulative satisfaction is higher for banks.

Practical implications
The study is significant for three reasons. First, it reconciles branding strategies across different types of financial service providers. Second, it will help financial managers to develop and implement a more integrated approach toward building brand equity for financial service brands. Finally, it will identify specific service-related areas financial providers can target to increase customers’ preferential value.

Originality/value
The paper addresses previous concerns within brand equity studies by examining the drivers of brand equity formation in multiple financial institutions. It shows how different aspects of service experience and customer satisfaction affect brand affinity and preferential attitudes toward financial brands.
The impact of financial and economic crisis on leverage: the case of Icelandic private firms
Authors: Khalfan Twahir , Wendt Stefan 
Published: December 2019

PurposeThe purpose of this paper is to provide empirical insight into the impact of a financial crisis on capital structure of private firms. Specifically, the authors use the example of the systemic Icelandic financial crisis from 2008 to 2010 and analyze the influence of internally generated funds on leverage during the financial crisis compared to the non-crisis period.Design/methodology/approachThe authors use a fixed-effects dynamic model to examine the impact of internally generated funds – measured as cash flow – with a data set that includes non-listed Icelandic firms. In addition, generalized method of moments is used to address potential endogeneity issues.FindingsThe authors find that internally generated funds have a different effect on capital structure during the financial crisis compared to the non-crisis period. While cash flow has an overall negative association with leverage, a positive relationship appears to exist during the crisis. However, when analyzing changes in cash flow from one year to the other, the sample firms appear to rely more on internally generated funds to adjust leverage during the financial crisis than in the non-crisis period.Originality/valueAnalyzing the extreme case of the Icelandic financial crisis allows us to shed light on capital structure effects in situations when both debt financing and internal financing opportunities are heavily curtailed.
Work: covenant, social support and their impacts on multiple performance outcomes
Authors: Hutahayan Benny 
Published: December 2019

PurposeApplying social exchange and job demands resources theories, this study aims to proposes a research model in which work engagement (WE) mediates the influence of work social support on job satisfaction (JS), in-role performance (IRP) and creative performance (CP).Design/methodology/approachData were collected from cabin attendants via three surveys two weeks apart and their pursers. The aforesaid relationships were assessed through structural equation modeling.FindingsIn general, there is support for the preponderance of hypotheses. Specifically, WE completely mediate the impact of coworker support on JS and IRP, whereas the impact of supervisor support on CP is completely mediated by WE. WE partly mediate the effect of coworker support on CP. Further, the effect of supervisor support on JS and IRP is partly mediated by WE.Originality/valueThe study extends and contributes to the current service research by assessing the impact of WE simultaneously on three performance outcomes. And it adds to current knowledge by investigating the mediating mechanism linking work social support to the attitudinal and behavioral outcomes. It also controls the threat of common method variance with at least two procedural remedies, which have been rarely used in the current service research.