bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of candidate master transcription factors within enhancer-centric transcriptional regulatory networks
Authors: Federation Alexander J. , Polaski Donald R. , Ott Christopher J. , Fan Angela , Lin Charles Y. , Bradner James E. 
Published: June 2018

AbstractRegulation of gene expression through binding of transcription factors (TFs) to cis-regulatory elements is highly complex in mammalian cells. Genome-wide measurement technologies provide new means to understand this regulation, and models of TF regulatory networks have been built with the goal of identifying critical factors. Here, we report a network model of transcriptional regulation between TFs constructed by integrating genomewide identification of active enhancers and regions of focal DNA accessibility. Network topology is confirmed by published TF ChIP-seq data. By considering multiple methods of TF prioritization following network construction, we identify master TFs in well-studied cell types, and these networks provide better prioritization than networks only considering promoter-proximal accessibility peaks. Comparisons between networks from similar cell types show stable connectivity of most TFs, while master regulator TFs show dramatic changes in connectivity and centrality. Applying this method to study chronic lymphocytic leukemia, we prioritized several network TFs amenable to pharmacological perturbation and show that compounds targeting these TFs show comparable efficacy in CLL cell lines to FDA-approved therapies. The construction of transcriptional regulatory network (TRN) models can predict the interactions between individual TFs and predict critical TFs for development or disease.
Convergent gain and loss of genomic islands drive lifestyle changes in plant-associated Pseudomonas
Authors: Melnyk Ryan A. , Hossain Sarzana S. , Haney Cara H. 
Published: June 2018

AbstractHost-associated bacteria can have both beneficial and detrimental effects on host health. While some of the molecular mechanisms that determine these outcomes are known, little is known about the evolutionary histories of pathogenic or mutualistic lifestyles. Using the model plant Arabidopsis, we found that closely related strains within the Pseudomonas fluorescens species complex promote plant growth and occasionally cause disease. To elucidate the genetic basis of the transition between commensalism and pathogenesis, we developed a computational pipeline and identified genomic islands that correlate with outcomes for plant health. One island containing genes for lipopeptide biosynthesis and quorum sensing is required for pathogenesis. Conservation of the quorum sensing machinery in this island allows pathogenic strains to eavesdrop on quorum signals in the environment and coordinate pathogenic behavior. We found that genomic loci associated with both pathogenic and commensal lifestyles were convergently gained and lost in multiple lineages through homologous recombination, possibly constituting an early step in the differentiation of pathogenic and commensal lifestyles. Collectively this work provides novel insights into the evolution of commensal and pathogenic lifestyles within a single clade of host-associated bacteria.
Analysis of moisture management properties of cotton/milkweed blended rotor yarn fabrics
Authors: Karthik T. , Murugan R. , Senthilkumar Pandurangan 
Published: June 2018

Purpose
Clothing must also assist the body’s thermal control function under changing physical loads in such a way that the body’s thermal and moisture management is balanced, and a microclimate is created next to the skin. One of the factors which affect moisture transport in a fabric is a fibre type. Hence, the purpose of this paper is to blend the natural hollow and low density fibre, milkweed, with cotton fibre at different proportions and to analyse and compare the influence of milkweed blend proportion on moisture management properties of rotor yarn fabrics with 100 per cent cotton fabric.

Design/methodology/approach
In the present study, cotton/milkweed blended rotor yarns were produced by using S-4 cotton variety and milkweed fibres in three different blend proportions such as cotton/milkweed 80/20, 60/40 and 40/60 along with 100 per cent cotton yarn with yarn count of 20 Ne. The single jersey knitted fabrics were produced with similar constructional parameters and then the fabrics were then scoured, bleached and neutralised as per the standard procedure. The fabrics have been analysed for its various moisture management properties using moisture management tester (MMT) and are statistically analysed.

Findings
The results indicate that, all the C/M blended fabrics have been classified as “moisture management fabric” and 100 per cent cotton fabric has been classified as “Fast absorbing and Quick Drying Fabric”. The overall moisture management capacity of C/M 40/60 fabric is excellent and could be used for summer, active and summer wear applications. One-way ANOVA analysis carried out at 95 per cent confidence level showed that the results are statistically significant. The pair-wise strength and association between various moisture management indices was analysed using Pearson correlation coefficient and observed that OWTC and OMMC was found to be positively and linearly related to each other.

Originality/value
The authors are confident that the cotton/milkweed blended yarns can be used as an inner wear and sportswear applications owing to the higher moisture regain and hollowness of milkweed fibre combined with the low packing density of C/M blended yarns which leads to overall improvement in moisture management properties of fabrics.
An exploration of the extent of Lean Six Sigma implementation in the West of Ireland
Authors: Iyede Richard , Fallon Enda Francis , Donnellan Pat 
Published: June 2018

Purpose
The purpose of this paper is to explore the extent of Lean Six Sigma (LSS) implementation within manufacturing companies in the West of Ireland. It examines the key success and failure factors, benefits and quality tools influencing LSS projects deployment.

Design/methodology/approach
The study adopted a mixed research method (quantitative and qualitative approach). Research data were collected through a structured survey questionnaire to the target population followed by interview case studies with four manufacturing companies to gather additional insight. The targeted respondents were manufacturing engineers, quality engineers, process improvement managers, operations managers, R&D engineers, LSS experts and validation engineers.

Findings
LSS initiatives are still relatively unknown to many SMEs organisations, whereas large companies have adopted LSS for some time. Top management commitment, understanding the LSS methodology, tools and techniques, integrating LSS to business strategy, organisational cultural change and training and education were the topmost key success factors. Organisational strategy, lack of top management support, expensive cost for LSS projects, unclear prioritisation of LSS projects and cost effectiveness were the most important failure factors influencing LSS implementation.

Originality/value
This research is the original work provided by the author and is expected to address the shortcomings of both SMEs and large organisations in the West of Ireland. The recommendations and frameworks reported in this paper can be used by manufacturing and service companies in Ireland for efficiency, competitiveness and continuous improvement.
Relationship between knowledge sharing and job satisfaction: a systematic review
Authors: Rafique Ghulam Murtaza , Mahmood Khalid 
Published: June 2018

Purpose
The purpose of this study was to systematically collect and review the English language studies that provided empirical evidence for the existence of relationship between knowledge sharing (KS) and job satisfaction (JS) and their impact on each other.

Design/methodology/approach
A systematic review of the literature was conducted searching Google Scholar, LISTA, ISI Web of Knowledge, Scopus and ProQuest Dissertation and Theses. Searches were completed through March 2017. Language limit was applied; and manual searching from review articles and some key studies using backward and forward citation from Google Scholar was also completed. Studies determining the relationship or correlation between KS and JS were included and books were excluded in this review. Data extraction and critical appraisal were performed to determine the risk of bias of each study.

Findings
The findings clearly reveal that these two variables had a significant relationship with and were influenced by each other. It is concluded that KS had a positive impact on JS and, similarly, JS had strong effect on KS among the individuals working in different organizations.

Originality/value
This review is first to examine the relationship between KS and JS and their impact on each other by systematically collecting and reviewing the English language studies. This study has theoretical and practical implications for managers and HR departments.
Applications of robotics in test and inspection
Authors: Bogue Robert 
Published: June 2018

Purpose
The purpose of this paper is to provide an insight on the use of robots in a range of industrial test and inspection applications.

Design/methodology/approach
Following a brief introduction, this discusses robotic test and inspection products and practices in the following applications: pipelines, storage tanks, bridges, marine uses, green energy generation and aerospace. Finally, concluding comments are drawn.

Findings
This shows that robotic test and inspection practices are being used in a wide range of applications across a diversity of industries. This reflects the many operational and economic benefits arising from their use which include the ability to automate certain laborious manual methods; operation in hazardous locations; uses in inaccessible environments such as within pipelines; the ability to deploy several different techniques simultaneously and thus detect multiple potential defects; reduced workforce costs; and, very often, more rapid testing and greater data acquisition rates than are possible with human operators.

Originality/value
This illustrates the increasingly important role played by robotic technologies in industrial test and inspection practices.
Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs
Authors: Zhou Qiang , Zou Danping , Liu Peilin 
Published: June 2018

Purpose
This paper aims to develop an obstacle avoidance system for a multi-rotor micro aerial vehicle (MAV) that flies in indoor environments which usually contain transparent, texture-less or moving objects.

Design/methodology/approach
The system adopts a combination of a stereo camera and an ultrasonic sensor to detect obstacles and extracts three-dimensional (3D) point clouds. The obstacle map is built on a coarse global map and updated by local maps generated by the recent 3D point clouds. An efficient layered A* path planning algorithm is also proposed to address the path planning in 3D space for MAVs.

Findings
The authors conducted a lot of experiments in both static and dynamic scenes. The results show that the obstacle avoidance system works reliably even when transparent or texture-less obstacles are present. The layered A* path planning algorithm is much faster than the traditional 3D algorithm and makes the system response quickly when the obstacle map has been changed because of the moving objects.

Research limitations/implications
The limited field of view of both stereo camera and ultrasonic sensor makes the system need to change heading first before moving side to side or moving backward. But this problem could be addressed when multiple systems are mounted toward different directions on the MAV.

Practical implications
The developed approach could be valuable to applications in indoors.

Originality/value
This paper presents a robust obstacle avoidance system and a fast layered path planning algorithm that are easy to be implemented for practical systems.
Implementation of open-architecture kinematic controller for articulated robots under ROS
Authors: Gao Yongzhuo , Du Zhijiang , Gao Xueshan , Su Yanyu , Mu Yu , Sun Li Ning , Dong Wei 
Published: June 2018

Purpose
This paper aims to present an open-architecture kinematic controller, which was developed for articulated robots, facing the demands of various applications and low cost on robot system.

Design/methodology/approach
A general approach to develop this controller is described in hardware and software design. The hardware consists of embedded boards and programable multi-axes controller (PMAC), connected with ethernet, and the software is implemented on a robot operating system with MoveIt!. The authors also developed a teach pendant running as a LAN node to provide a human–machine interface (HMI).

Findings
The proposed approach was applied to several real articulated robot systems and was proved to be effective and portable. The proposed controller was compared with several similar systems to verify its integrality and flexibility. The openness of this controller was discussed and is summarized at the end of this paper.

Practical implications
The proposed approach provided an open and low-complex solution for experimental studies in the lab and short-run production in small workshops.

Originality/value
Several contributions are made by the research. The actuation model and communication were implemented to integrate the trajectory planning module and PMAC for setting up the physical interface. Method and program interface based on kinematics was provided to generate various interpolations for trajectory planning. A teach pedant with HMI was developed for controlling and programing the robot.
Design and evaluation of the project and program crashing games
Authors: Rumeser David , Emsley Margaret 
Published: June 2018

PurposeThe purpose of this paper is to help project management (PM) game designers and educators in simulating complexity in PM games and in assessing the effect of simulated project complexity levels on students’ learning experience. To achieve this aim, the authors attempt to design and evaluate two computer-based project crashing games (PCGs) with different complexity levels, namely project crashing game (PCG) and program crashing game (PgCG).Design/methodology/approachA literature review is conducted to identify serious games design principles. These principles are then manifested in the design of PCG and PgCG. The latter is a more complex version of the first. Students’ reaction after playing both games are then analyzed quantitatively.FindingsThe authors discover that students’ learning experience is affected by how complex the simulated project is. The more complex the project is (i.e. as in the PgCG), the more realistic the game is perceived. Nevertheless, the authors also discover that the less complex game (PCG) offers significant value to students, particularly to teach basic PM principles to those with minimum or no practical experience. This game is perceived as better in increasing students’ learning confidence as its content is perceived as more relevant to their existing knowledge.Originality/valueThe authors adopt a project complexity perspective when designing and evaluating the games.
Forging effective corporate/nonprofit partnerships for CSR programs
Authors: Remund David L. , McKeever Brooke W. 
Published: June 2018

PurposeThe purpose of this paper is to examine how corporate and nonprofit leaders partner on public relations for corporate social responsibility (CSR) programs.Design/methodology/approachThrough semi-structured interviews across the USA, and stretching into Europe and South America, leaders (n=24) from US-based corporations top-ranked for corporate citizenship, and the nonprofit organizations with which they have developed CSR programs, shared insights and best practices.FindingsCorporate and nonprofit leaders who collaborate on CSR programs spoke independently about several essential shared values, including community-focused collaboration, fiscal responsibility, and strategic alignment. How they described their CSR partnerships reflects a mutual commitment to a distributed leadership model, which involves the need to span organizational boundaries, share unique expertise across levels and roles, and sustain long-term relationships. Consistent with prior research, this study also suggests that communication leaders in both corporations and nonprofit organizations leverage transactional (process-focused) and transformational (people-focused) leadership styles, as they work to build and foster these long-term partnerships.Research limitations/implicationsThe findings pinpoint how principles of the distributed leadership model come to life across CSR partnerships and contribute to the success of such partnerships. Corporations and their nonprofit partners must mutually focus on spanning, sharing, and sustaining as they build programs together. These shared principles exemplify a distributed leadership model and help define what CSR partnership truly means.Originality/valueThis study looks at CSR programs beyond just the perspective of the corporation and the public, taking into account the critical role the nonprofit organization plays as a partner in some CSR programming, and within a distributed leadership model.
Examining the impact of message frames on information seeking and processing
Authors: Overton Holly K. 
Published: June 2018

Purpose
The purpose of this paper is to apply the situational theory of publics and framing theory in the context of environmental corporate social responsibility (CSR) communication research to determine how message frames impact information seeking and processing.

Design/methodology/approach
Using a 3 (message frame: diagnostic, prognostic, or motivational) × 2 (environmental issue: general vs specific) plus control between subjects experimental design, the study examines the attitudes, cognitions, and behavioral intentions different publics may form about two different environmental responsibility issues presented in this study. Furthermore, the study aims to examine how different types of message frames (diagnostic, prognostic, or motivational) and topics may impact how a company can move a public toward information seeking behaviors.

Findings
Based on theoretical considerations, structural equation modeling was used to examine significant paths between variables, thus creating a proposed new theoretical model that can be applied to CSR, public relations, and strategic communication literature.

Originality/value
The study offers a proposed new integrated theoretical model that can be applied to strategic communication literature and used to assist companies with enhancing their CSR communication and strategic communication planning efforts to determine how to move a public toward information seeking behaviors.
Investigating the effect of value stream mapping on operational losses: a case study
Authors: Dadashnejad Ali-Asghar , Valmohammadi Changiz 
Published: June 2018

Purpose
One of most important tools for lean production is value stream mapping (VSM), which identifies and reduces errors, losses, waiting time and improves value adding time, leading to enhanced product quality through empowering production unit in terms of production risk and cost reduction in the long term. This paper aims to present a general concept for production flow, such that value stream can be fully understood. For this purpose, this research investigates the effect of value stream on operational losses and analyzes the process that has been conducted in preview step operationally, using the discovered pattern.

Design/methodology/approach
In this research, related processes were evaluated after the review of the relevant literature and after extracting operational basics of lean approach using a questionnaire, such that all factors affecting operational losses and VSM were assessed. Then comparison between the result of current state map and the result of future state map were done and analyzed. Cronbach’s alpha was calculated to test the designed questionnaire’s reliability, which resulted in an acceptable level of 0.845. The structural equation modeling method through SPSS and Smart–Partial Least Square was applied to analyze the data and test the hypotheses.

Findings
The results reveal that implementing required changes and corrections will lead directly to production process improvement, which, in turn, results in higher customer satisfaction because of cost reduction and quality enhancement. Also, tests of the hypotheses confirm that VSM affects six operational losses, namely, equipment failures, set-up and changeovers, idling and minor stoppages, reduced speed operation, scrap and rework and startup losses.

Research limitations/implications
Though this study was done in a single manufacturing company, the implementation of this study delivers important results that can be deployed in other such manufacturing companies.

Practical implications
This tool helps to identify loss points, make right decisions, and choose the best methods and lean tools for improvement. The surveyed company can integrate lean principles and tools and achieve better results using this tool. Also, this tool could be used to analyze the process and to define necessary changes before changing the process components.

Originality/value
This study contributes to the body of knowledge in manufacturing research as the study regarding the effects of improvement opportunities identified through VSM on operational losses is still something new.
A new approach to evaluating entrepreneurial opportunities
Authors: Adel Rastkhiz Seyedeh Elahe , Mobini Dehkordi Ali , Yadollahi Farsi Jahangir , Azar Adel 
Published: June 2018

Purpose
In order to answer which opportunities are better to pursue, the purpose of this paper is to propose and empirically test a decision-making model for evaluating and selecting entrepreneurial opportunities.

Design/methodology/approach
First, the authors identified common evaluation criteria through a systematic review of 45 high quality articles published in top entrepreneurship and management journals between 2000 and 2017. Second, fuzzy screening technique has been employed to offer the decision-making model. Third, the authors used data of six evaluations provided by five experts at a medium-sized biotech firm to test the model.

Findings
The study shows that common decision criteria for evaluating entrepreneurial opportunities fall into seven categories. According to these criteria and using fuzzy screening technique, a multi-expert multi-criteria decision-making (ME–MCDM) model has been suggested for evaluating and selecting opportunities.

Practical implications
This model can be served in situations in which decision makers should select a small number of opportunities among the larger set with regard to opportunity profile and minimal information. More opportunities and more decision makers can be included in the model. When the number of opportunities and decision makers are high, it is possible to use programming for fast, accurate and easy calculation.

Originality/value
This study is the first systematic review of opportunity evaluation criteria. It is also the first considering opportunity evaluation as a multi-expert decision-making process.