bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical simulation of the viral entry into a cell driven by the receptor diffusion
Authors: Wiegold T. , Klinge S. , Gilbert R. P. , Holzapfel G. A. 
Published: October 2019

ABSTRACTThis study focuses on the receptor driven endocytosis typical of viral entry into a cell. A locally increased density of receptors at the time of contact between the cell and the virus is necessary in this case. The virus is considered as a substrate with fixed receptors on its surface, while the receptors of the host cell are free to move over its membrane, allowing a local change in their concentration. In the contact zone the membrane inflects and forms an envelope around the virus. The created vesicle imports its cargo into the cell. The described process is simulated by the diffusion equation accompanied by two boundary conditions. The first boundary condition states that the conservation of binders expressed as the local rate of change of density has to be equal to the negative of the local flux divergence. The second boundary condition represents the energy balance condition with contributions due to the binding of receptors, the free energy of the membrane, its curvature and the kinetic energy due to the motion of the front. The described moving boundary problem in terms of the binder density and the velocity of the adhesion front is well posed and relies on biomechanically motivated assumptions. The problem is numerically solved by using the finite difference method, and the illustrative examples have been chosen to show the influence of the mobility of the receptors and of their initial densities on the velocity of the process.SIGNIFICANCEThe receptor driven endocytosis represents one of the most important mechanisms for the viral entry into a cell. However, the high velocities and small characteristic length scale cause many difficulties during the experimental investigation of such a process. This calls upon the application of virtual computer simulations investigating the process parameters and identifying factors inhibiting or completely ceasing the viral entry into cells. The development of methods for the optimization of the cell immunity system is aimed to as the final goal.
Interlaboratory Data Variability Contributes to the Differential Principal Components of Human Primed and Naïve-like Pluripotent States in Multivariate Meta-Analysis
Authors: Johnson Kory R. , Mallon Barbara S. , Fann Yang C. , Chen Kevin G. 
Published: October 2019

ABSTRACTCurrently, genome-wide data analyses have revealed significant differences between various human naïve-like pluripotent states derived from different laboratory protocols, confounding the establishment of defining criteria of human naïve pluripotency. Thus, it is imperative to understand the concept concerning the ground or naïve pluripotent state of pluripotent stem cells, which was initially established in mouse embryonic stem cells (mESCs). Putative human pluripotency has been proposed, largely based on comparing genome-wide transcriptomic signatures of human pluripotent stem cells (hPSCs) with human pre-implantation embryos and mESCs by several research groups. Current bioinformatics approaches, however, have inevitable conceptual biases and technological limitations, including the choices of datasets, analytic methods, and interlaboratory data variability. In this report, we performed a multivariate meta-analysis of major hPSC datasets via the combined analytic powers of percentile normalization, principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and SC3 consensus clustering. This vigorous bioinformatics approach has significantly improved the predictive values of the current meta-analysis. Accordingly, we were able to reveal various fundamental inconsistencies between naïve-like hPSCs and their human and mouse in vitro counterparts, which are likely attributed to interlaboratory protocol differences. Moreover, our meta-analysis failed to provide global transcriptomic markers that support the putative in vitro human naïve pluripotent state, rather suggesting the existence of altered pluripotent states under current naïve-like hPSC growth protocols.
Structural basis of transcription inhibition by the DNA mimic protein Ocr of bacteriophage T7
Authors: Ye Fuzhou , Kotta-Loizou Ioly , Jovanovic Milija , Liu Xiaojiao , Dryden David T. F. , Buck Martin , Zhang Xiaodong 
Published: October 2019

AbstractBacteriophage T7 infectsEscherichia coliand evades the host defence system. The Ocr protein of T7 was shown to exist as a dimer mimicking DNA and to bind to host restriction enzymes, thus preventing the degradation of the viral genome by the host. Here we report that Ocr can also inhibit host transcription by directly binding to bacterial RNA polymerase (RNAP) and competing with the recruitment of RNAP by sigma factors. Using cryo electron microscopy, we determined the structures of Ocr bound to RNAP. The structures show that an Ocr dimer binds to RNAP in the cleft, where key regions of sigma bind and where DNA resides during transcription synthesis, thus providing a structural basis for the transcription inhibition. Our results reveal the versatility of Ocr in interfering with host systems and suggest possible strategies that could be exploited in adopting DNA mimicry as a basis for forming novel antibiotics.Impact statementDNA mimicry Ocr protein, a well-studied T7 phage protein that inhibits host restriction enzymes, can also inhibit host transcription through competing with sigma factors in binding to RNA polymerase.
Cross-Infectivity of Vorticella across Genera of Mosquitoes for Development of Biological Mosquito Control Strategies
Authors: Durden Shelby , Cruz Anthony , Hunter Wayne B. , Debboun Mustapha , Duguma Dagne 
Published: October 2019

ABSTRACTProtozoans in general comprise about one-third of the parasitic species infecting arthropod vectors, the role of free-living ciliates on mosquitoes have been insufficiently studied either due to their low pathogenicity or being facultative parasites. Studies have shown that exposure of Paramecium ciliate protists, like Vorticella species, to first instar Cx. nigripalpus larvae delayed larval development and reduced biomass of emerged adults due to competition for food sources like bacteria and other microbes essential to mosquito growth and survival. Thus, we report on the capacity of a Vorticella protozoan’s ability to cross-infect host species and parasitize multiple mosquito larvae. The unique adapted behavior with the ability to remain on the exuviae in tree hole habitats provides a novel delivery system to develop products for target species-specific mosquitocides, larvicides, or viricides to be applied and sustained in aquatic systems.
N-terminal Domain Regulates Steroid Activation of Elephant Shark Glucocorticoid and Mineralocorticoid Receptors
Authors: Katsu Yoshinao , Shariful Islam MD , Lin Xiaozhi , Takagi Wataru , Urushitani Hiroshi , Kohno Satomi , Hyodo Susumu , Baker Michael E. 
Published: October 2019

AbstractOrthologs of human glucocorticoid receptor (GR) and human mineralocorticoid receptor (MR) first appear in cartilaginous fishes. Subsequently, the MR and GR diverged to respond to different steroids: the MR to aldosterone and the GR to cortisol and corticosterone. We report that cortisol, corticosterone and aldosterone activate full-length elephant shark GR, and progesterone, which activates elephant shark MR, does not activate elephant shark GR. However, progesterone inhibits steroid binding to elephant shark GR, but not to human GR. Together, this indicates partial functional divergence of elephant shark GR from the MR. Deletion of the N-terminal domain (NTD) from elephant shark GR (truncated GR) reduced the response to corticosteroids, while truncated and full-length elephant shark MR had similar responses to corticosteroids. Swapping of NTDs of elephant shark GR and MR yielded an elephant shark MR chimera with full-length GR-like increased activation by corticosteroids and progesterone compared to full-length elephant shark MR. Elephant shark MR NTD fused to GR DBD+LBD had similar activation as full-length MR, indicating that the MR NTD lacked GR-like NTD activity. We propose that NTD activation of human GR evolved early in GR divergence from the MR.
Residue-Level Allostery Propagates Through the Effective Coarse-Grained Hessian
Authors: Lake Peter T. , Davidson Russell B. , Klem Heidi , Hocky Glen M. , McCullagh Martin 
Published: October 2019

AbstractThe long-ranged coupling between residues that gives rise to allostery in a protein is built up from short-ranged physical interactions. Computational tools used to predict this coupling and its functional relevance have relied on the application of graph theoretical metrics to residue-level correlations measured from all-atom molecular dynamics (aaMD) simulations. The short-ranged interactions that yield these long-ranged residue-level correlations are quantified by the effective coarse-grained Hessian. Here we compute an effective harmonic coarse-grained Hessian from aaMD simulations of a benchmark allosteric protein, IGPS, and demonstrate the improved locality of this graph Laplacian over two other connectivity matrices. Additionally, two centrality metrics are developed that indicate the direct and indirect importance of each residue at producing the covariance between the effector binding pocket and the active site. The residue importance indicated by these two metrics is corroborated by previous mutagenesis experiments and leads to unique functional insights; in contrast to previous computational analyses, our results suggest that fP76-hK181 is the most important contact for conveying direct allosteric paths across the HisF-HisH interface. The connectivity around fD98 is found to be important at affecting allostery through indirect means.
A complex structure of arrestin-2 bound to a G protein-coupled receptor
Authors: Yin Wanchao , Li Zhihai , Jin Mingliang , Yin Yu-Ling , de Waal Parker W. , Pal Kuntal , Yin Yanting , Gao Xiang , He Yuanzheng , Gao Jing , Wang Xiaoxi , Zhang Yan , Zhou Hu , Melcher Karsten , Jiang Yi , Cong Yao , Zhou X. Edward , Yu Xuekui , Xu H. Eric 
Published: October 2019

AbstractArrestins comprise a family of signal regulators of G-protein-coupled receptors (GPCRs), which include arrestins 1 to 4. While arrestins 1 and 4 are visual arrestins dedicated to rhodopsin, arrestins 2 and 3 (Arr2 and Arr3) are β-arrestins known to regulate many nonvisual GPCRs. The dynamic and promiscuous coupling of Arr2 to nonvisual GPCRs has posed technical challenges to tackle the basis of arrestin binding to GPCRs. Here we report the structure of Arr2 in complex with neurotensin receptor 1 (NTSR1), which reveals an overall assembly that is strikingly different from the visual arrestin-rhodopsin complex by a 90° rotation of Arr2 relative to the receptor. In this new configuration, intracellular loop 3 (ICL3) and transmembrane helix 6 (TM6) of the receptor are oriented toward the N-terminal domain of the arrestin, making it possible for GPCRs that lack the C-terminal tail to couple Arr2 through their ICL3. Molecular dynamics simulation and crosslinking data further support the assembly of the Arr2–NTSR1 complex. Sequence analysis and homology modeling suggest that the Arr2–NTSR1 complex structure may provide an alternative template for modeling arrestin-GPCR interactions.
Wrinkle and boundary detection of fiber products in robotic composites manufacturing
Authors: Gupta Kashish , Körber Marian , Djavadifar Abtin , Krebs Florian , Najjaran Homayoun 
Published: October 2019

Purpose
The paper aims to focus on a vision-based approach to advance the automated process of the manufacturing of an Airbus A350’s pressure bulkhead. The setup enables automated deformation and draping of a fiber textile on a form-variable end-effector.

Design/methodology/approach
The proposed method uses the information of infrared (IR) and color-based images in Red, Green and Blue (RGB) representative format, as well as depth measurements to identify the wrinkles and boundary edge of semi-finished dry fiber products on the double-curved surface of a flexible modular gripper used for laying the fabric. The technique implements a simple and practical image processing solution using a sequence of pixel-wise binary masks on an industrial scale setup; it bridges the gap between laboratory experiments and real-world execution, thereby demonstrating practical and applied research.

Findings
The efficacy of the technique is demonstrated via experiments in the presented work. The two objectives as follows boundary edge detection and wrinkle detection are accomplished in real time in an industrial setup.

Originality/value
During the draping process, tensions developed in the fibers of the textile cause wrinkles on the surface, which are highly detrimental to the production process, material quality and strength. The proposed method automates the identification and detection of the wrinkles and the textile on the gripper surface. The proposed work aids in alleviating the problems caused by these wrinkles and helps in quality control in the production process.
The amazing bond among wine consumption, health and hedonistic well-being
Authors: Fiore Mariantonietta , Alaimo Leonardo Salvatore , Chkhartishvil Nino 
Published: October 2019

PurposeWine, fruits, vegetables and whole grains are the main products of a healthy diet. The purpose of this paper is to scrutinize the existence of an interesting and evocative bond among moderate intake of wine, health and well-being.Design/methodology/approachBy means of a fuzzy cluster analysis, the authors try to investigate the existence of groups of regions similar in wine consumption, subjective well-being, health and social relations. The latter are expressed through composite indicators, built and developed by Istat within the Italy ESW project’s activities (equitable and sustainable well-being). The analysis also investigates how this link has evolved over time. Data are related to refer to the situations in 2010 and 2017 in 21 regions of Italy.FindingsResults obtained in 2010 seem to confirm the hypothesis of the existence of a link among moderate wine consumption, hedonism well-being and health, and in addition, findings highlight the so-called North‒South gap, that is the strong differences and economic issues among the different areas of the country. Then, outcomes obtained for 2017 appear in line with 2010 results.Originality/valueSeveral authors from medicine, economics and chemistry domain strongly suggest and demonstrate that regular and moderate intake of wine reduces the incidence of heart disease, diabetes mellitus and hormonal problems, and correlatively increases longevity. In this work, the authors develop further research step including the aspects related to personal well-being and social relations under the umbrella of a hedonism approach. Finally, results highlight the existence of an amazing tie among moderate intake of wine consumption, well-being and health.
Touring destination and intention to consume indigenous food
Authors: Fam Kim-Shyan , Syed Annuar Sharifah Nurafizah , Tan Kim Lim , Lai Franklin Hazley , Ingko Ida Anak 
Published: October 2019

PurposeThe purpose of this paper is to examine the factors influencing Sabah’s indigenous food consumption, namely Kadazan-Dusun food, among tourists from China, Europe and Malaysia (non-Sabahans).Design/methodology/approachSurvey forms were distributed to tourists from China, Europe and Malaysia using purposive sampling at tourist spots in Sabah, Malaysia. In total, 254 responses were collected, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM).FindingsThe findings demonstrate that tourists from China and Europe possess some similarities in consuming indigenous food in Sabah. They enjoy trying indigenous food even they are not familiar with the food. Additionally, our findings also show that tourists from China regard sensory appeal as an important aspect of food choice. Meanwhile, it is found that convenience and mood influence Malaysian’s choice of indigenous food.Originality/valueThis study provides insights regarding Sabah’s Kadazan-Dusun food consumption from foreign and domestic tourists’ perspectives. As such, it also provides direction to the local eateries and relevant tourism authorities to better promote indigenous food to foreign and domestic tourists.
Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects
Authors: Afzal Farman , Yunfei Shao , Sajid Muhammad , Afzal Fahim 
Published: October 2019

Purpose
Cost overrun is inherent to project chaos, which is one of the key drivers of project failure. The purpose of this paper is to explore the critical elements of complexity-risk interdependency for cost-chaos in the construction management domain by utilizing a multi-criteria decision model.

Design/methodology/approach
A total of 12 complexity and 60 risk attributes are initially identified from the literature and using expert’s judgements. For the development of a structured hierarchy of key complexity and risk drivers, a real-time Delphi process is adopted for recording and evaluating the responses from experts. Afterwards, a pair-wise comparison using analytical network processing is performed to measure complexity-risk interdependencies against cost alternatives.

Findings
The findings of the integrated priority decision index (IPDI) suggest that uncertainties related to contingency and escalation costs are the main sources of cost overrun in project drift, along with the key elements such as “the use of innovative technology,” “multiple contracts,” “low advance payment,” “change in design,” “unclear specifications” and “the lack of experience” appear to be more significant to chaos in complexity-risk interdependency network.

Research limitations/implications
This study did not address the uncertainty and vulnerability exit in the judgment process, therefore, this framework can be extended using fuzzy logic to better evaluate the significance of cost-chaos drivers.

Practical implications
These results may assist the management of cost overrun to avoid chaos in a project. The proposed model can be applied within project risk management practices to make better-informed technical decisions in the early phases of the project life cycle where uncertainty is high.

Originality/value
This research addresses the importance of cost overruns as a source of project chaos in dynamic systems where projects reach the edge of chaos and progress stops. A new IPDI index contributes toward evaluating the severity of complexity and risk and their interdependencies which create cost-chaos in infrastructure transport projects.
Customer attrition analysis in the securities industry: a large-scale field study in Korea
Authors: Ahn Yongkil , Kim Dongyeon , Lee Dong-Joo 
Published: October 2019

Purpose
The purpose of this paper is to identify the attributes that predict customer attrition behavior in the brokerage and investment banking sectors.

Design/methodology/approach
The authors analyze the complete stock trading records and customer profiles of 458,098 retail customers from a Korean brokerage house. The authors develop customer attrition prediction models and further explore the practicality of these models using statistical classification techniques.

Findings
The results from three different binary selection models indicate that customer transaction patterns effectively explain the attrition of active retail customers in subsequent periods. The study results demonstrate that monetary value variables are the most critical for predicting customer attrition in the securities industry.

Research limitations/implications
This study contributes to the customer attrition literature by documenting the first large-scale field-based evidence that confirms the practicality of the canonical recency, frequency and monetary (RFM) framework in the investment banking and brokerage industry. The findings advance previous survey-based studies in the financial services industry by identifying the attributes that predict customer attrition behaviors in the securities industry.

Practical implications
The outcomes can be easily operationalized for attrition prediction by practitioners in financial service firms. Moreover, the ex post density of inactive customers in the top 10 percent most-likely-to-churn group is estimated to be five to six times the ex ante unconditional attrition ratio, which ascertains that the attributes recognized in this study work well for the purpose of target marketing.

Originality/value
While the securities industry is regarded as one of the most information-intensive industries, detailed empirical investigation into customer attrition in the field has lagged behind partly due to the lack of suitable securities transaction data and demographic information at the customer level. The current research fills this gap in the literature by taking advantage of a large-scale field data set and offers a starting point for more elaborate studies on the drivers of customer attrition in the financial services sector.
Improving the stability of market segmentation analysis
Authors: Hajibaba Homa , Grün Bettina , Dolnicar Sara 
Published: October 2019

Purpose
Data-driven market segmentation is heavily used by academic tourism and hospitality researchers to create knowledge and by data analysts in tourism industry to generate market insights. The stability of market segmentation solutions across repeated calculations is a key quality indicator of a segmentation solution. Yet, stability is typically ignored, risking that the segmentation solution arrived at is random. This study aims to offer an overview of market segmentation analysis and propose a new procedure to increase the stability of market segmentation solutions derived from binary data.

Design/methodology/approach
The authors propose a new method – based on two independently proposed algorithms – to increase the stability of market segmentation solutions. They demonstrate the superior performance of the new method using empirical data.

Findings
The proposed approach uses k-means as base algorithm and combines the variable selection method proposed by Brusco (2004) with the global stability analysis introduced by Dolnicar and Leisch (2010). This new approach increases the stability of segmentation solutions by simultaneously selecting variables and numbers of segments.

Practical implications
The new approach can be adopted immediately by academic researchers and industry data analysts alike to improve the quality of market segmentation solutions derived from empirical tourist data. Higher quality market segmentation solutions translate into competitive advantage and increased business or destination performance.

Originality/value
The proposed approach is newly developed in this study. It helps industry data analysts and academic researchers to reduce the risk of deriving random segmentation solutions by analyzing the data in a systematic way, then selecting the most stable solution using the segmentation variables contributing to this most stable solution only.