bluuebunny/crossref_metadata_2025_split huggingface dataset:
Raman mapping glucose metabolites during human mesenchymal stem cell adipogenesis
Authors: Subramanian Gomathy S. , Stylianou Con , Phang In Yee , Cool Simon , Nurcombe Victor , Lear Martin J. , Gorelik Sergey , Fernig David G. , Hobley Jonathan 
Published: April 2020

AbstractRaman mapping was used to determine the lipid distribution inside human mesenchymal stem cells during induced adipogenesis by monitoring C-H stretching bands of the fats inside the lipid droplets. By incorporating deuterated glucose into the cell culture medium during induction it was possible to distinguish whether or not downstream metabolites, either in lipid droplets or in the cytoplasm, had been formed before or after the adipogenic cascade, because C-D stretching bands are 1/√2 shifted compared to the C-H bands. Thus, metabolites formed after the initiation of the process displayed both C-H and C-D stretching bands and so were forming during induced adipogenesis rather than prior to it. With the ability to distinguish small putative lipid drops formed by the induction of adipogenesis from those pre-formed in the cell, it was possible to analyze spectral changes occurring in the droplets at the earliest stages of adipogenesis. There were two key findings. Firstly, Raman spectra of lipid droplets evolved over time, suggesting that their composition at the early stages was not the same as at the later stages. Secondly, it was apparent that the proportion of unsaturated fats in droplets was higher at early stages than it was at later stages, suggesting that unsaturated fats arrive in the droplets faster than saturated ones.
Pseudomonas aeruginosaTfpW is a multifunctional D-Arafglycosyltransferase and oligosaccharyltransferase
Authors: Villela Anne D. , Harvey Hanjeong , Graham Katherine , Burrows Lori L. 
Published: April 2020

ABSTRACTTfpW is an oligosaccharyltransferase that modifies the subunits of type IV pili from group IV strains ofPseudomonas aeruginosawith oligomers of α-1,5-linked-D-arabinofuranose (D-Araf). Besides its oligosaccharyltransferase activity, TfpW may be responsible for periplasmic translocation and polymerization of D-Araf. Here we investigated these potential roles of TfpW in Pa5196 pilin glycosylation. Topology studies confirmed the periplasmic location of loop 1 and the large C-terminus domain, however the central portion of TfpW had an indeterminate configuration. Reconstitution of the Pa5196 pilin glycosylation system by providingpilA,tfpW+/-tfpXand the D-Arafbiosynthesis genesPsPA7_6246-6249showed that TfpW is sufficient for glycan polymerization and transfer to pilins inP. aeruginosaPAO1, while TfpX is also necessary inEscherichia coli. In addition to PsPA7_6246, DprE1 (PsPA7_6248) and DprE2 (PsPA7_6249), the GtrA-like component PsPA7_6247 was required for pilin glycosylation inE. coliversus PAO1. In a PAO1 ΔarnE/Fmutant, loss of PsPA7_6247 expression decreased the level of pilin glycosylation, suggesting thatarnE/Fmay play a role in pilin glycosylation when PsPA7_6247 is absent. Bacterial two-hybrid studies showed interactions of TfpW with itself, TfpX, PsPA7_6247 and DprE2, suggesting the formation of a complex that enables efficient pilin glycosylation. Fluorescence microscopy ofE. coliand Pa5196ΔdprE1expressing a DprE1-sGFP fusion showed that the protein is expressed in the cytoplasm, supporting our model that includes cytoplasmic biosynthesis of the lipid carrier-linked D-Arafprecursor prior to its periplasmic translocation. Together these data suggest that TfpW may be the first example of a trifunctional flippase, glycosyltransferase, and oligosaccharyltransferase.
Cluster Analysis of Medicinal Plants and Targets Based on Multipartite Network
Authors: Lee Namgil , Yoo Hojin , Yang Heejung 
Published: April 2020

AbstractAlthough medicinal plants have played an important role in the development of therapeutics as natural compound sources, the synergistic effects of the multiple chemicals in the plants on multiple targets have not been studied widely. Recently, network-based methods for the analysis of drug-target interactions have gained attention and relies on the paradigm that a single drug can act on multiple targets rather than a single target. In this study, we have presented a novel approach to analyze the interactions between the chemicals in the medicinal plants and multiple targets based on the complex multipartite network of the medicinal plants, multi-chemicals, and multiple targets. The multipartite network was constructed via the conjunction of two relationships: chemicals in plants and the biological actions of those chemicals on the targets. By analyzing the structural characteristics of the network using the network analysis techniques, we investigated the similarities among the plants via their chemical profiles obtained from the hierarchical clustering analysis. In doing so, we introduced an index of the efficacy of chemicals in a plant on a protein target of interest, called target potency score (TPS). We showed that the analysis can identify specific chemical profiles from each group of plants, which can then be employed for discovering new alternative therapeutic agents. Furthermore, specific clusters of plants and chemicals acting on specific targets were retrieved using TPS that suggested potential drug candidates with high probability of clinical success. We expect that this approach may open a way to predict the biological functions of multi-chemicals and multi-plants on the targets of interest and enable repositioning of the plants and chemicals.
An unsupervised algorithm for host identification in flaviviruses
Authors: Truong Phuoc , Garcia-Vallve Santiago , Puigbò Pere 
Published: April 2020

ABSTRACTEarly characterization is essential to control the spread of emerging viruses, such as the Zika Virus outbreak in 2014. A major challenge is the identification of potential hosts for novel viruses. We introduce an algorithm to identify the host range of a virus from its raw genome sequence that will be a useful tool to understand host-virus relationships.
Defective membrane repair machinery impairs survival of invasive cancer cells
Authors: Bouvet F. , Ros M. , Bonedeau E. , Croissant C. , Frelin L. , Saltel F. , Moreau V. , Bouter A. 
Published: April 2020

AbstractCancer cells are able to reach distant tissues by migration and invasion processes. Enhanced ability to cope with physical stresses leading to cell membrane damages may offer to cancer cells high survival rate during metastasis. Consequently, down-regulation of the membrane repair machinery may be a therapeutic avenue for inhibiting metastasis. We show that migration of MDA-MB-231 cells on collagen I fibrils induces disruptions of plasma membrane and pullout of membrane fragments in the wake of cells. These cells are able to reseal membrane damages thanks to annexins (Anx) that are highly expressed in invasive cancer cells.In vitromembrane repair assays reveal that MDA-MB-231 cells respond heterogeneously to membrane injury and some of them possess very efficient repair machinery. Finally, we show that silencing of AnxA5 and AnxA6 leads to major defect of the membrane repair machinery responsible for the death of migrating MDA-MB-231 cells. Inhibition of membrane repair machinery may therefore represent a promising avenue for annihilating cancer metastasis.SummaryCancer cells are able to reach distant tissues by migration and invasion processes. This study shows that inhibition of the plasma membrane repair machinery may represent a promising avenue for annihilating cancer metastasis.
MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes
Authors: Sobczyk Maria K , Gaunt Tom R , Paternoster Lavinia 
Published: April 2020

AbstractGene prioritisation at GWAS loci necessities careful assembly and examination of different types of molecular evidence to arrive at a set of plausible candidates. In many human traits, common small-effect mutations may subtly dysregulate the function of the very same genes which are impacted by rare, large-effect mutations causing Mendelian disease of similar phenotype. However, information on gene-Mendelian disease associations, rare pathogenic mutations driving the disease, and the disease phenotype ontology is dispersed across many data sources and does not integrate easily with enrichment analysis.MendelVar is a new webserver facilitating transfer of knowledge from Mendelian disease research into interpretation of genetic associations from GWAS of complex traits. MendelVar allows querying of pre-defined or LD-determined genomic intervals against a comprehensive integrated database to find overlap with genes linked to Mendelian disease. Next, MendelVar looks for enrichment of any Human Phenotype Ontology, Disease Ontology and other ontology/pathway terms associated with identified Mendelian genes. In addition, MendelVar provides a list of all overlapping pathogenic and likely pathogenic variants for Mendelian disease sourced from ClinVar.Inclusion of information obtained from MendelVar in post-GWAS gene annotation pipelines can strengthen the case for causal importance of some genes. Moreover, as genes with Mendelian disease evidence may make for more successful drug targets, this may be particularly useful in drug discovery pipelines. Taking GWAS summary statistics for male-pattern baldness, intelligence and atopic dermatitis, we demonstrate the use of MendelVar in prioritizing candidate genes at these loci which are linked to relevant enriched ontology terms. MendelVar is freely available athttps://mendelvar.mrcieu.ac.uk/
Performance comparison of population-based optimization algorithms for air traffic control
Authors: Sarikaya Basturk Nurcan , Sahinkaya Abdurrahman 
Published: April 2020

Purpose
The purpose of this paper is to present a detailed performance comparison of recent and state-of-the-art population-based optimization algorithms for the air traffic control problem.

Design/methodology/approach
Landing sequence and corresponding landing times for the aircrafts were determined by using population-based optimization algorithms such as artificial bee colony, particle swarm, differential evolution, biogeography-based optimization, simulated annealing, firefly and teaching–learning-based optimization. To obtain a fair comparison, all simulations were repeated 30 times for each of the seven algorithms, two different problems and two different population sizes, and many different criteria were used.

Findings
Compared to conventional methods that depend on a single solution at the same time, population-based algorithms have simultaneously produced many alternate possible solutions that can be used recursively to achieve better results.

Research limitations/implications
In some cases, it may take slightly longer to obtain the optimum landing sequence and times compared to the methods that give a direct result; however, the processing times can be reduced using powerful computers or GPU computations.

Practical implications
The simulation results showed that using population-based optimization algorithms were useful to obtain optimal landing sequence and corresponding landing times. Thus, the proposed air traffic control method can also be used effectively in real airport applications.

Social implications
By using population-based algorithms, air traffic control can be performed more effectively. In this way, there will be more efficient planning of passengers’ travel schedules and efficient airport operations.

Originality/value
The study compares the performances of recent and state-of-the-art optimization algorithms in terms of effective air traffic control and provides a useful approach.
The impact of service/product performance and problem-solving on relationship satisfaction
Authors: Chumpitaz Ruben , Paparoidamis Nicholas G. 
Published: April 2020

PurposeThe purpose of this paper is to merge service and product quality concepts as well as problem-solving capabilities and relationship satisfaction into an integrative model and empirically test it in business-to-business (B2B) context.Design/methodology/approachHypothesis testing was performed using a structural equation model based on a LISREL approach applied to a sample of 1,218 industrial buying centers producing and marketing food and beverage products for industrial use in Belgium, France and Holland.FindingsThe model allows a comparison between the relative efficacy of product quality, service and sales quality as well as problem-solving in driving relationship satisfaction. The results demonstrate the relative effectiveness of sales team quality while also emphasizing the importance of problem-solving in building relationship satisfaction.Originality/valueThis study makes theoretical and empirical contributions providing a better understanding of the impact of service/product quality and problem-solving in building relationship satisfaction in a B2B context.
The dispositif of prison sexuality: transphobic violence in a Mexican male prison
Authors: Constant Chloé 
Published: April 2020

Purpose
The aim of this study is to analyze how the dispositif of sexuality operates toward trans women imprisoned in a male prison in Mexico City, to understand how sexual norms that come from the heteropatriarchal model so as from the “internal law” produce transphobic violence.

Design/methodology/approach
The paper is based on the queer theory, Foucault’s works on sexuality and power, Segato’s theory about war against women’s bodies and on a fieldwork realized between 2015 and 2019 in Mexico City, with prisoners and former prisoners.

Findings
The sexuality dispositif works in a particular way inside prison. It is the result of the heteropatriarchal model and laws defined by both prisoners and prison workers, all involved in the Mexican war context. The effects are materialized through violence toward trans* women whose bodies serve for rape, male appropriation and exchange between powerful subjects.

Research limitations/implications
This paper produces knowledge about imprisonned trans* people, a very few developped field in prison studies, especially in Latin America.

Practical implications
The paper demonstrates how specific violence toward trans* women imprisoned in a male prison in Mexico City deepens violent dynamics that occur out of the prison. So, it questions the meaning of a sentence in the actual Mexican prison system. It may help to think about staff’s training/education to guarantee basic human rights for imprisoned trans* people. Additionally, the theorization of “internal law” could help prison authorities to rethink classification and treatment for prisoners.

Social implications
This paper provide specific knowledge on imprisonned trans* women and helps to think and act different with this people through the understanding of their special vulnerability.

Originality/value
There are only a few papers about imprisoned trans population throughout the world and fewer in Latin America and Mexico. Additionally, this paper aims to overcome the “internal order” as it is always theorized as proper of detainees. It wants to show that the prison order in a Mexico City prison, borns from the meeting of cultural specificities from outside and inside, and from both prisoners, organized crime and prison staff.
An integrated model of the knowledge antecedents for exploring software process improvement success
Authors: Lee Jung-Chieh , Shiue Yih-Chearng , Chen Chung-Yang 
Published: April 2020

PurposeSoftware process improvement (SPI) is a knowledge activity that is critical to the excellence of information system development. This study observes two knowledge gaps in the quest for SPI success and proposes a research model that integrates existing knowledge antecedents to address these gaps. Based on organizational learning theory and the dynamic capability view, the proposed model consolidates a firm's absorptive capacity (AC), learning ability in terms of exploration and exploitation and knowledge sharing (KS), and it examines the contextual relationships among these knowledge antecedents on the path to SPI success.Design/methodology/approachA quantitative research design is implemented to examine the model with a sample of 138 SPI-certified organizations in Taiwan and Mainland China. The partial least squares (PLS) technique is used for the data analysis.FindingsThe results reveal the following findings. First, AC triggers the effect of exploration/exploitation on SPI success. Second, KS fosters exploitation but has an insignificant influence on exploration. Third, KS can promote AC, and it serves as the sourcing mechanism for all of the knowledge antecedents. Overall, an integrative set of knowledge learning routes is presented in guiding software firms on the way to SPI success.Originality/valueIn addition to identification of the two knowledge gaps, this study advances the authors’ understanding by comprehending the causal associations of the four knowledge antecedents on the way to SPI success.
On the link between HIV prevalence and health expenditure: an asymmetric analysis
Authors: Hajilee Massomeh , Oroojeni Mohammad Javad Mahsa , Hayes Linda A. 
Published: April 2020

PurposeIndividuals' health is considered one of the major determinants of higher levels of productivity and economic development. Over the past century, the widespread occurrence of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) has been a serious threat to economic development around the globe and has caused a dramatic fall in the life expectancy rate in many nations. This is the first study that examines the impact of HIV prevalence on health expenditure at the national level employing two linear and nonlinear autoregressive distributed lag (ARDL) models and simultaneously tests the long-run and short-run relationship for five selected developed countries. The authors employ annual data from 1981 to 2016. They find that HIV prevalence has a significant impact on health expenditure in the short-run and long-run in all five countries using the linear model and four of the countries in the nonlinear model. They find that HIV/AIDS prevalence has a significant short-run and long-run asymmetric impact on health expenditure of almost all selected developed economies.Design/methodology/approachThe authors are employing two linear and nonlinear ARDL models and simultaneously test the long-run and short-run relationship for five selected developed countries.FindingsThe authors find that HIV/AIDS prevalence has a significant short-run and long-run asymmetric impact on health expenditure of almost all selected developed economies.Originality/valueTo the best of the authors’ knowledge, this is the first research work that empirically examines the link between HIV prevalence and health expenditure for this group of countries using linear and nonlinear ARDL approach for short run and long run.
The association between organisational culture, CSR practices and organisational performance in an emerging economy
Authors: Bhuiyan Faruk , Baird Kevin , Munir Rahat 
Published: April 2020

PurposeThis study aims to investigate the influence of organisational culture, specifically O’Reillyet al.’s (1991) six dimensions of the organisational culture profile (respect for people, outcome orientation, team orientation, innovation, attention to detail and stability) on corporate social responsibility (CSR) practices and the subsequent impact of CSR practices on organisational performance from the context of an emerging economy.Design/methodology/approachThe study used a survey of middle- and higher-level managers in Bangladeshi organisations to develop a seven-dimensional model of CSR practices and used structural equation modelling to analyse the developed hypotheses.FindingsThe findings provide evidence of the influence of the six different dimensions of organisational culture on the different dimensions of CSR practices. The findings highlight the diverse impacts (i.e. positive and negative) of CSR practices on organisational performance. The study also highlights the direct influence of organisational culture on both financial and non-financial performance. In particular, the outcome and team orientation culture are positively associated with non-financial and financial performance, respectively, while an innovative culture is negatively associated with both non-financial and financial performance.Practical implicationsThe findings of the study provide practitioners, internal (i.e. the managers and business owners of both the local and multinational organisations) and external policy-makers, and foreign investors in an emerging economy with new insights into the role of an intra-organisational factor (i.e. organisational culture) in influencing the adoption of CSR practices and the subsequent impact of CSR practices on organisational performance.Originality/valueUsing the 52 guidelines of CSR practices provided by the Organisation for Economic Co-operation and Development, this study provides a unique empirical insight into the influence of organisational culture on CSR practices and the impact of CSR practices on organisational performance. The findings contribute to the limited CSR literature examining the influence of organisational culture on the adoption of CSR practices and its subsequent impact on organisational performance in an emerging economy.
Mandatory CSR expenditure and stock return
Authors: Bhattacharyya Asit , Rahman Md Lutfur 
Published: April 2020

Purpose
India has mandated corporate social responsibility (CSR) expenditure under Section 135 of the Indian Companies Act, 2013 – the first national jurisdiction to do so. The purpose of this paper is to examine the impact of mandated CSR expenditure on firms’ stock returns by using actual CSR spending data, whereas the previous studies mostly focus on voluntary CSR proxied by CSR scores.

Design/methodology/approach
The authors estimate their baseline regression by using ordinary least squares(OLS) method. Although the baseline regression involving CSR expenditure and stock returns using ordinary least squares method are estimated, endogeneity and reverse causality biases are addressed by using two-stage least squares and generalized method of moments approaches. These approaches contribute mitigating endogeneity bias and biases associated with unobserved heterogeneity and simultaneity.

Findings
The findings document that mandatory CSR expenditure has a negative impact on firms’ stock returns which supports the “shareholders” expense’ view. This result remain robust after controlling for endogeneity bias and the use of both standard and robust test statistics. The authors however observe that this result holds for the firms with actual CSR expenditure equal to the mandated amount but does not hold for the firms with actual CSR expenditure greater than the mandated amount. Therefore, the authors provide evidence that CSR expenditure’s impact on stock returns depends on whether firms simply comply the regulation or voluntarily chose an amount of CSR expenditure above the mandated amount.

Originality/value
The primary contribution is to present a valid and robust evidence of negative effect of mandated CSR spending on firms’ stock returns when the mandatory CSR spending rule is already in place. This study contributes by examining the impact of mandated CSR spending on stock during post-implementation period (2015-2017), whereas other studies by Dharampala and Khanna (2018); Kapoor and Dhamija (2017); and Mukherjee et al. (2018) mainly examined the impact of legislation on Indian CSR. The authors use mandated actual CSR expenditure, whereas previous studies mostly focus on voluntary CSR proxied by CSR scores.