bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motor reattachment kinetics play a dominant role in multimotor-driven cargo transport
Authors: Feng Qingzhou , Mickolajczyk Keith J. , Chen Geng-Yuan , Hancock William O. 
Published: August 2017

ABSTRACTKinesin-based cargo transport in cells frequently involves the coordinated activity of multiple motors, including kinesins from different families that move at different speeds. However, compared to the progress at the single-molecule level, mechanisms by which multiple kinesins coordinate their activity during cargo transport are poorly understood. To understand these multi-motor coordination mechanisms, defined pairs of kinesin-1 and kinesin-2 motors were assembled on DNA scaffolds and their motility examinedin vitro. Although less processive than kinesin-1 at the single-molecule level, addition of kinesin-2 motors more effectively amplified cargo run lengths. By applying the law of total expectation to cargo binding durations in ADP, the kinesin-2 microtubule reattachment rate was shown to be 4-fold faster than that of kinesin-1. This difference in microtubule binding rates was also observed in solution by stopped-flow. High-resolution tracking of gold-nanoparticle-labeled cargo with 1 ms and 2 nm precision revealed that kinesin-2 motors detach and rebind to the microtubule much more frequently than do kinesin-1. Finally, cargo transported by kinesin-2 motors more effectively navigated roadblocks on the microtubule track. These results highlight the importance of motor reattachment kinetics during multi-motor transport and suggest a coordinated transport model in which kinesin-1 motors step effectively against loads while kinesin-2 motors rapidly unbind and rebind to the microtubule. This dynamic tethering by kinesin-2 maintains the cargo near the microtubule and enables effective navigation along crowded microtubules.
Therapeutic targeting of PGBD5-induced DNA repair dependency in pediatric solid tumors
Authors: Henssen Anton G. , Reed Casie , Jiang Eileen , Garcia Heathcliff Dorado , von Stebut Jennifer , MacArthur Ian C. , Hundsdoerfer Patrick , Kim Jun Hyun , Stanchina Elisa de , Kuwahara Yasumichi , Hosoi Hajime , Ganem Neil , Cruz Filemon Dela , Kung Andrew L. , Schulte Johannes H. , Petrini John H. , Kentsis Alex 
Published: August 2017

AbstractDespite intense efforts, the cure rates of childhood and adult solid tumors are not satisfactory. Resistance to intensive chemotherapy is common, and targets for molecular therapies are largely undefined. We have now found that the majority of childhood solid tumors, including rhabdoid tumors, neuroblastoma, medulloblastoma and Ewing sarcoma, express an active DNA transposasePGBD5that can promote site-specific genomic rearrangements in human cells. Using functional genetic approaches, we found that mouse and human cells deficient in non-homologous end joining (NHEJ) DNA repair cannot tolerate the expression of PGBD5. In a chemical screen of DNA damage signaling inhibitors, we identified AZD6738 as a specific sensitizer of PGBD5-dependent DNA damage and apoptosis. We found that expression of PGBD5, but not its nuclease activity-deficient mutant, was sufficient to induce hypersensitivity to AZD6738. Depletion of endogenous PGBD5 conferred resistance to AZD6738 in human tumor cells. PGBD5-expressing tumor cells accumulated unrepaired DNA damage in response to AZD6738 treatment, and underwent apoptosis in both dividing and G1 phase cells in the absence of immediate DNA replication stress. Accordingly, AZD6738 exhibited nanomolar potency against the majority of neuroblastoma, medulloblastoma, Ewing sarcoma and rhabdoid tumor cells tested, while sparing non-transformed human and mouse embryonic fibroblastsin vitro. Finally, treatment with AZD6738 induced apoptosis and regression of human neuroblastoma and medulloblastoma tumors engrafted in immunodeficient micein vivo. This effect was potentiated by combined treatment with cisplatin, including significant anti-tumor activity against patient-derived primary neuroblastoma xenografts. These findings delineate a therapeutically actionable synthetic dependency induced in PGBD5-expressing solid tumors.
‘Switch-like’ transition from random to directed motility of microtubules by a yeast dynein
Authors: Jain K. , Khetan N. , Athale C. A. 
Published: August 2017

AbstractProcessive transport by multiple molecular motors that step stochastically, requires a form of mechanical coupling. In a quantitative microtubule (MT) gliding assay with yeast cytoplasmic dynein, we investigate the nature of this coupling by examining the effect of MT length and motor density on transport. We find speed and velocity have a length dependence for low motor numbers, but are independent of MT length for high motor densities. The dependence of speed, velocity and degree of randomness of MT transport is best understood when evaluated in terms of the numbers of motors bound to a filament. A model of collective transport of MTs, based on stochastic stepping and asymmetric detachment rates, reproduces the experimental trends of decreasing diffusivity with increasing number of motors. Additionally, the model predicts a ‘switch-like’ increase in directionality of MT transport above a threshold number of motors. Such a rapid transition from random to directed motility with increasing numbers of yeast dyneins, could play a rolein vivoduring mitosis in the ‘search and orientation’ of theSaccharomyces cerevisiaenucleus.
DrImpute: Imputing dropout events in single cell RNA sequencing data
Authors: Kwak Il-Youp , Gong Wuming , Koyano-Nakagawa Naoko , Garry Daniel J. 
Published: August 2017

AbstractThe single cell RNA sequencing (scRNA-seq) technique began a new era by allowing the observation of gene expression at the single cell level. However, there is also a large amount of technical and biological noise. Because of the low number of RNA transcriptomes and the stochastic nature of the gene expression pattern, there is a high chance of missing nonzero entries as zero, which are called dropout events. However, many statistical methods used for analyzing scRNA-seq data in cell type identification, visualization, and lineage reconstruction do not model for dropout events. We have developed DrImpute to impute dropout events, and it improves many of the statistical tools used for scRNA-seq analysis that do not account for dropout events. Our numerical studies with real data demonstrate the promising performance of the proposed method, which has been implemented in R.
Analysis of deep learning methods for blind protein contact prediction in CASP12
Authors: Wang Sheng , Sun Siqi , Xu Jinbo 
Published: August 2017

AbstractHere we present the results of protein contact prediction achieved in CASP12 by our RaptorX-Contact server, which is an early implementation of our deep learning method for contact prediction. On a set of 38 free-modeling target domains with a median family size of around 58 effective sequences, our server obtained an average top L/5 long- and medium-range contact accuracy of 47% and 44%, respectively (L=length). A more advanced implementation has an average accuracy of 59% and 57%, respectively. Our deep learning method formulates contact prediction as an image pixel-level labeling problem and simultaneously predicts all residue pairs of a protein using a combination of two deep residual neural networks, taking as input the residue conservation information, predicted secondary structure and solvent accessibility, contact potential, and co-evolution information. Our approach differs from existing methods mainly in (1) formulating contact prediction as a pixel-level image labeling problem instead of an image-level classification problem; (2) simultaneously predicting all contacts of an individual protein to make effective use of contact occurrence patterns; and (3) integrating both 1D and 2D deep convolutional neural networks to effectively learn complex sequence-structure relationship including high-order residue correlation. This paper discusses the RaptorX-Contact pipeline, both contact prediction and contact-based folding results, and finally the strength and weakness of our method.
Vinyl tourism: records as souvenirs of underground musical landscapes
Authors: Sonnichsen Tyler 
Published: August 2017

PurposeThis paper discusses how vinyl records become souvenirs of musical tourism. The record-as-souvenir dynamic is particularly relevant in the discussion about punk culture in cities like Washington, DC, and other scenes which defy encapsulation as touristic landscapes. Arguing a fluid perspective on musical tourism, the purpose of this paper is to present the argument that vinyl functions as de facto souvenirs of underground musical landscapes.Design/methodology/approachThis paper incorporates literature on souvenirs within tourism studies, market research, and empirical data. It also builds upon research on emotional geographies and the resurgence of the vinyl record industry.FindingsIn many cases, musical recordings (particularly those on vinyl, for tactile and fetishist reasons), while not designed for the function of being souvenirs, come to signify counter-narrative definitions of place.Research limitations/implicationsThis work focuses on the context of vinyl as souvenirs with findings derived from the intersection of tourism, critical geography, and music marketing. In offering this contextual account, there is no claim toward generalization but rather the work is put forward as a depth of insight on a phenomenon long in the making yet neglected by researchers. However, a more comprehensive approach to provide further insight on vinyl as souvenirs might include consumer interviews.Practical implicationsThis paper expands the conversation about souvenirs further into the era of modern, underground tourism. It argues for the inclusion of music consumption, especially vinyl, as prototypical and unintentional souvenirs as decided by the consumer rather than the producer. It also expands the discourse on counter-narratives of places like Washington, DC, in conversations about place-based music marketing and tourism.Social implicationsThis paper frames musical souvenirs in terms of the consumer deciding their value and role in the cultivation of sense of place, rather than the producer. Additionally, music retailers provide a valuable role in their city’s cultivated image, but even this is a collaboration between the retailers and consumers.Originality/valueThis paper addresses the function of vinyl records within the purview of tourism studies and positions as an original contribution connecting music consumption and tourism practices.
Cultural memory and the heritagisation of a music consumption community
Authors: O’Reilly Daragh , Doherty Kathy , Carnegie Elizabeth , Larsen Gretchen 
Published: August 2017

Purpose
The purpose of this paper is to explore how music consumption communities remember their past. Specifically, the paper reports on the role of heritage in constructing the cultural memory of a consumption community and on the implications for its identity and membership.

Design/methodology/approach
Drawing upon insights from theories of cultural memory, heritage, and collective consumption, this interpretive inquiry makes use of interview, documentary, and artefactual analysis, as well as visual and observational data, to analyse an exhibition of the community’s popular music heritage entitled One Family – One Tribe: The Art & Artefacts of New Model Army.

Findings
The analysis shows how the community creates a sense of its own past and reflects this in memories, imagination, and the creative work of the band.

Research limitations/implications
This is a single case study, but one whose exploratory character provides fruitful insights into the relationship between cultural memory, imagination, heritage, and consumption communities.

Practical implications
The paper shows how consumption communities can do the work of social remembering and re-imagining of their own past, thus strengthening their identity through time.

Social implications
The study shows clearly how a consumption community can engage, through memory and imagination, with its own past, and indeed the past in general, and can draw upon material and other resources to heritagise its own particular sense of community and help to strengthen its identity and membership.

Originality/value
The paper offers a theoretical framework for the process by which music consumption communities construct their own past, and shows how theories of cultural memory and heritage can help to understand this important process. It also illustrates the importance of imagination, as well as memory, in this process.
Air Asia India: competing for air space in an emerging economy
Authors: Jayakumar Tulsi 
Published: August 2017

PurposeThe purpose of this paper is to understand the competitive landscape of emerging market economies (EMEs) and the implications of business models and strategies used by multinational enterprises (MNEs) to enter and operate in such landscapes. It does so by considering the aviation sector in an emerging economy – India, and by studying the strategies pursued by AirAsia India – the Indian joint venture of AirAsia Investment Limited and Tata Sons..Design/methodology/approachThe paper follows a case study approach. Secondary data sources from the library, company website and newspaper articles have been used to build a case that would encourage students to discuss and analyze the competitive strategies followed by MNEs in EMEs.FindingsEmerging markets offer attractive investment opportunities to MNEs across several industries. However, their markets for intermediate goods and services possess imperfections. Competitiveness in such markets will require going beyond country-specific and firm-specific advantages. MNEs will need to integrate location-specific advantages with internalization advantages of these market imperfections to operate successfully in the complex environments of EMEs. A one-size-fits-all approach of transposing successful strategies from home markets will fail to create value.Practical implicationsMNEs, such as AirAsia, will need to develop participatory skills to leverage the location-specific-advantages of EMEs and reduce their own curse of foreignness to be able to succeed in EMEs.Originality/valueThis paper contributes to extant literature by studying the competitive strategies pursued by a global leader in an EME. The case of the “World’s Best Low-Cost Airline” – AirAsia’s India operations seeks to go beyond the Eclectic Paradigm and the country-specific and firm-specific advantages framework, to provide a location-internalization paradigm for operating in EMEs.
Control circuit design and chaos analysis in an ultrasonic machining system
Authors: Hsieh Chin-Tsung , Yau Her-Terng , Wang Cheng-Chi 
Published: August 2017

Purpose
This study aims to investigate the dynamic motion of an ultrasonic machining system comprising two Duffing oscillators, each with a single degree of freedom. After derivation of the differential equations of the system using the Lagrange equations and dimensionless time, numerical analysis was used to observe changes in the system caused by differences in excitation frequency.

Design/methodology/approach
To suppress this effect and improve performance, proportional differential (PD) control was used. The integral absolute error was used as the fitness function, and particle swarm optimization was used to find the best value for the gain constant of the PD controller.

Findings
The results showed that with specific changes of excitation frequency, the dynamic motion of the system became nonlinear and chaotic behavior resulted. This made the system unstable and affected performance.

Originality/value
A range of methods, including fuzzy control, was used to analyze the results, and exhaustive laboratory work was carried out. Means of control were found that were effective in suppressing the chaotic behavior, and differences in response to control were investigated and verified. The findings of this study can be used as a basis for system parameter settings or control circuit design.
Examination of carbon-water nanofluid flow with thermal radiation under the effect of Marangoni convection
Authors: Mohyud-Din Syed Tauseef , Usman Muhammad , Afaq Kamran , Hamid Muhammad , Wang Wei 
Published: August 2017

Purpose
The purpose of this study is to analyze the effects of carbon nanotubes (CNTs) in the Marangoni convection boundary layer viscous fluid flow. The analysis and formulation for both types of CNTs, namely, single-walled (SWCNTs) and multi-walled (MWCNTs), are described. The influence of thermal radiation effect assumed in the form of energy expression.

Design/methodology/approach
Appropriate transformations reduced the partial differential systems to a set of nonlinear ordinary differential equations (ODEs). The obtained nonlinear ODE set is solved via the least squares method. A detailed comparison between outcomes obtained by the least squares method, RK-4 and already published work is available.

Findings
Nusselt number was analyzed and found to be more effective for nanoparticle volume fraction and larger radiation parameters. Additionally, the error and convergence analysis for the least squares method was presented to show the efficiency of the said algorithm.

Originality/value
The results reveal that velocity is a decreasing function of suction for both CNTs. While enhancing the nanoparticle volume fraction, an increase for both thermal boundary layer thickness and temperature was attained. The radiation parameter has an increasing function as temperature. Velocity behavior is the same for nanoparticle volume fraction and suction. It was observed that velocity is less in SWCNTs as compared to MWCNTs.
Using big data to improve the performance management: a case study from the UAE FM industry
Authors: Mawed Mahmoud , Al-Hajj Assem 
Published: August 2017

Purpose
This paper aims to explore how big data analytics (BDA) collected and stored through specific data software [Construction Operations Building Information Exchange [COBie], integrated workplace management systems [IWMS], computer aided facilities management (CAFM), etc.] can play an essential role in improving the performance management system in the facility management (FM) industry. It defines the big data components and explores the benefit of BDA in any business through an extensive literature review and a pilot case study in the UAE.

Design/methodology/approach
The research was carried out based on a qualitative approach. It attempts to identify through a case study how the data collected and the technologies that go along with will increase the functionality and the efficiency of the FM services. The research studies the implementation of a big FM organization, hereafter referred as “M” of software that exports the data collected from COBie and the computer aided facilities management (CAFM) system and shapes them into input to improve the performance of the FM service providers. The study includes two components in anticipation of providing a complete picture: first, five semi-structured interviews with industry experts and company employees representing the hierarchy of the staff, i.e. top, middle and operational levels; one director, two managers and two operational-level employees were interviewed to determine the current situation of the company in terms of BDA; and second, detailed documents and archives records review for the data collected on a randomly chosen sample of facilities for the period 2013-2015. The interviews were designed to achieve two specific objectives. Primarily, they were aimed at collecting empirical evidence on the existing status of big data within the UAE FM context and at investigating the importance of the data collected for performance measurement in the industry as supported in the literature. Second, these interviews sought to identify any critical issues that need to be addressed within the data collection process when devising the big data platform for FM.

Findings
The paper seeks to provide a guideline to the service providers in the FM market to understand the importance of big data to be shared from the design and construction to the operational phase as it improves their operational performance.

Originality/value
This paper studies the impact of big data on the FM performance management, a very recent topic where only few researches were conducted earlier.
Counter-extrapolation method for conjugate heat and mass transfer with interfacial discontinuity
Authors: Wang Zimeng , Colin Fabrice , Le Guigao , Zhang Junfeng 
Published: August 2017

Purpose
The purpose of this paper is to develop a counter-extrapolation approach for computational heat and mass transfer with the interfacial discontinuity considered at conjugate interfaces.

Design/methodology/approach
By applying finite-difference approximations for the interfacial gradients along the local normal direction, the conjugate system can be simplified to the Dirichlet boundary problems for individual domains. A suitable method for the Dirichlet boundary value condition can then be used. The lattice Boltzmann method has been used to demonstrate the method. The model has been carefully validated by comparing the simulation results and theoretical solutions for steady and unsteady systems with flat or circular interfaces. Furthermore, the cooling process of a hot cylinder in a cold flow, which involves unsteady flow and heat transfer across a curved interface, has been simulated as an example to illustrate the practical usefulness of this model.

Findings
Good agreement has been observed in comparisons of simulations and theoretical solutions. The convergence and stability of the method have also been examined and satisfactory results have been obtained. Results of the cylinder cooling process show that a surface insulation layer can effectively reduce the heat transfer process and slow down the cooling process.

Originality/value
This method possesses several technical advantages, including the simple and straightforward algorithm, and accurate representation of the interface geometry. The basic idea and algorithm of the counter-extrapolation procedure presented here can be readily extended to other lattice Boltzmann models and even other computational technologies for heat and mass transfer systems with interface discontinuity.