bluuebunny/crossref_metadata_2025_split huggingface dataset:
The lncRNAs Implicated in Redox Regulation in Ybx1 Deficient Zebrafish Larvae
Authors: Huang Chen , Zhu Bo , Leng Dongliang , Ge Wei , Zhang Xiaohua Douglas 
Published: June 2019

AbstractYbx1 has been demonstrated as a crucial gene in embryogenesis, reproduction as well as development in various vertebrates such as mouse and zebrafish. However, the underlying lncRNA-mediated mechanisms require deep investigation. Particularly, the importance of lncRNA to vertebrate development is controversial and questionable since many studies have yielded contradictory conclusions for the same lncRNAs. In the present study, in order to disclose the lncRNAs implicated in vertebrate development, a systematic transcriptome analysis is conducted based on the RNA sequencing data derived from ybx1 homozygous mutant zebrafish on day5 (day5_ybx1-/-) as well as wild type zebrafish on day5 and day6 (day5_ybx1+/+, day6_ybx1+/+). A high-confidence dataset of zebrafish lncRNAs is detected using a stepwise filtering pipeline. Differential expression analysis and co-expression network analysis reveal that several lncRNAs probably act on duox and noxo1a, the genes related to redox (reduction–oxidation reaction) processes which are triggered by ybx1 disruption. Validation by an experimental study on three selected lncRNAs indicates that knockdown of all selected lncRNAs leads to morphological deformation of larvae. In addition, our experiments effectively support the prediction of network analysis in many interaction patterns between the selected lncRNAs and the two redox genes (duox, noxo1a). In short, our study provides new insights into the function and mechanism of lncRNAs implicated in zebrafish embryonic development and demonstrates the importance of lncRNAs in vertebrate development.Author SummaryLncRNAs has been emerged as key regulatory layers because of their multiple functions in diverse biological processes and pathways. However, there is disagreement about the roles of lncRNAs in vertebrate development Some cases demonstrated that lncRNAs was important to development. Others showed that lncRNAs just have feeble functions in development. On the other hand, Ybx1 processing multi-functions has been well demonstrated as a key protein to most vertebrate in development. Hence, aimed at disclosure of key lncRNAs implicated in vertebrate development as well as their possible roles, we performed a systematic transcriptome analysis based on the deep RNA sequencing data of ybx1 homozygous mutant zebrafish and wild type zebrafish. Our analysis successfully revealed several lncRNAs probably target on the redox-related genes. Furthermore, our experiments validated the importance of these lncRNAs to zebrafish embryo development. This study is the first to utilize Ybx1 as breakpoint to identify key lncRNA related to vertebrate development and provides new insights into underlying mechanisms of lncRNAs in development.
Computing, analyzing and comparing the radius of gyration and hydrodynamic radius in conformational ensembles of intrinsically disordered proteins
Authors: Ahmed Mustapha Carab , Crehuet Ramon , Lindorff-Larsen Kresten 
Published: June 2019

AbstractThe level of compaction of an intrinsically disordered protein may affect both its physical and biological properties, and can be probed via different types of biophysical experiments. Small-angle X-ray scattering (SAXS) probe the radius of gyration (Rg) whereas pulsed-field-gradient nuclear magnetic resonance (NMR) diffusion, fluorescence correlation spectroscopy and dynamic light scattering experiments can be used to determine the hydrodynamic radius (Rh). Here we show how to calculate Rg and Rh from a computationally-generated conformational ensemble of an intrinsically disordered protein. We further describe how to use a Bayesian/Maximum Entropy procedure to integrate data from SAXS and NMR diffusion experiments, so as to derive conformational ensembles in agreement with those experiments.
Variation in protein coding genes identifies information flow as a contributor to animal complexity
Authors: Dean Jack , Cardoso Daniela Lopes , Sharpe Colin 
Published: June 2019

AbstractAcross the metazoans there is a trend towards greater organismal complexity. How complexity is generated, however, is uncertain. Since C.elegans and humans have approximately the same number of genes, the explanation will depend on how genes are used, rather than their absolute number. Functional diversity is a measure that quantifies the isoforms, domains and paralogues of a gene. In this paper we determine functional diversity for each protein-coding gene in the human genome and its orthologues across eight commonly used model organisms. From this we derive the Compx list of genes that correlate positively with their increase in cell-type number. We then select genes common to the Compx list and the ExAC list, whose genes show minimal variation across many human genomes, and identify genes with common functions, notably in chromatin structure, RNA splicing, vesicular transport and ubiquitin-mediated protein degradation. Together these functions reveal that information flow within the cell relates to cell-type number, used as a measure of organismal complexity.
Relation between early e-WOM and average TV ratings
Authors: Bae Giwoong , Kim Hye-Jin 
Published: June 2019

PurposeThe purpose of this paper is to investigate the relation between average ratings (viewership) and the volume and valence of electronic word of mouth (e-WOM) for early episodes of TV shows.Design/methodology/approachLinear regression was performed in which the dependent variable is average TV ratings and main independent variables are volume and valence of e-WOM. The study used a Breusch–Pagan test to detect heteroscedasticity. Accordingly, the model is analyzed using heteroscedasticity-consistent standard error estimators.FindingsThe results show that the volume of the early e-WOM does not significantly contribute to explaining average ratings, but the valence does.Originality/valueBecause the advertising revenue of television broadcasters is determined according to expected TV ratings, the average ratings should be predicted as early as possible. This study shows that analyzing early e-WOM helps predict average ratings.
An empirical investigation of efficiency and productivity in the Indian non-life insurance market
Authors: Ilyas Ashiq Mohd , Rajasekaran S. 
Published: June 2019

Purpose
The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of efficiency, productivity and returns-to-scale economies. In addition to this, it identifies the determinants of efficiency.

Design/methodology/approach
This study employs a two-stage data envelopment analysis (DEA) bootstrap approach to estimate the level and determinants of efficiency. In the first stage, the DEA bootstrap approach is employed to estimate bias-corrected efficiency scores. In the second stage, the truncated bootstrapped regression is used to identify the effect of firm-level characteristics on the efficiency of insurers. Moreover, the bootstrapped Malmquist index is used to examine the productivity growth over the observation period 2005–2016.

Findings
The bootstrapped DEA results show that the Indian non-life insurance sector is moderately technical, scale, cost and allocative efficient, and there is a large opportunity for improvement. Moreover, the results reveal that the public insurers are more cost efficient than the private insurers. It is also evident that all the insurers irrespective of size and ownership type are operating under increasing returns to scale. Malmquist index results divulge an improvement in productivity of insurers, which is attributable to the employment of the best available technology. Bootstrapped DEA and bootstrapped Malmquist index results also show that the global financial crisis of 2008 has not severely affected the efficiency and productivity of the Indian non-life insurance sector. The truncated regression results spell that size and reinsurance have a statistically significant negative relationship with efficiency. It also shows a statistically significant positive age–efficiency relationship.

Practical implications
The results hold practical implications for the regulators, policy makers, practitioners and decision makers of the Indian non-life insurance companies.

Originality/value
This study is the first of its kind that comprehensively investigates different types of robust efficiency measures, determinants of efficiency, productivity growth and returns-to-scale economies in the Indian non-life insurance market for an extended time period.
Humanitarian supply chain management frameworks
Authors: Agarwal Sachin , Kant Ravi , Shankar Ravi 
Published: June 2019

Purpose
The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC) performance measurement based on the content, context and process.

Design/methodology/approach
The structured keywords, namely humanitarian supply chain (HSC), humanitarian logistic (HL), humanitarian relief chain (HRC) and humanitarian chain (HC) as an exact phrase were searched in the title, abstract and keywords in the academic database. A total of 66 peer-reviewed articles were selected for analysis purpose that reports framework from the reviewed literature. These selected frameworks are categorized in dimensions, namely framework novelty, framework source, recognize elements/constructs of framework, comparative analysis of the framework and in-depth study of HSCM performance measurement.

Findings
The analysis reveals that the majority of these developed frameworks are novel and academic based. Case study is most prominent research methodology in the development of HSCM framework. Lack of coordination among humanitarian stakeholders is the major challenge in the empirical implementation of framework. This study proposes future research trend toward a unified HSCM framework that will facilitate to uncover the coherent set of elements/constructs in the field of HSCM.

Research limitations/implications
This study considers peer-reviewed articles published in English language, and excludes conference papers, working articles, technical data/reports and book chapters.

Practical implications
This study categorizes new dimension for framework analysis and proposed an HSC performance measurement framework which gives new insights to the academicians, practitioners and policy makers for future work.

Social implications
This examination gives the establishment to facilitate investigation of viable, efficient and effective HSCM, and detail opportunities for practices.

Originality/value
This study critically analyzes 66 frameworks under the different criteria to identify research gap and trends. Furthermore, this study proposes the HSC performance measurement framework.
The concept of trust in disasters: the Slovenian experience
Authors: Malesic Marjan 
Published: June 2019

Purpose
The purpose of this paper is to identify the level of public trust in disaster response actors, i.e. the government, civilian disaster response institutions, the military, NGOs and the media.

Design/methodology/approach
The data source is the 2015–2016 Slovenian Public Opinion Survey, which used face-to-face interviews (computer-assisted personal interviewing software), and a standardised instrument (questionnaire). A two-stage probability sampling design with stratification at the first stage was applied. The first stage involved a probability proportional to size selection of 150 small areas (statistical areas), where the size measurement was a the number of adult persons in the Central Population Register. The second stage involved the simple random sampling of 12 persons from each of the 150 primary sampling units. A total of 1,024 adult residents participated in the survey.

Findings
The findings suggest that trust in the government under normal situations is low; however, it becomes slightly higher during disaster conditions. Civilian disaster response institutions (especially firemen and civil protection), the military and NGOs (humanitarian and other volunteer organisations) are highly trusted before and during disasters. Trust in the authorities and media to inform the public in a timely and comprehensive manner about the disaster is also relatively high.

Research limitations/implications
Perhaps in another period of research, disaster-related experiences of the population might be different, which could certainly change the survey results about trust. Nevertheless, the main finding that low pre-disaster trust can be recovered during a disaster by adequate performance of the institution is not jeopardised.

Originality/value
The survey results are original.
A new spectral integral equation method for solving two-dimensional unsteady advection-diffusion equations via Chebyshev polynomials
Authors: Hadadian Nejad Yousefi Mohsen , Ghoreishi Najafabadi Seyed Hossein , Tohidi Emran 
Published: June 2019

Purpose
The purpose of this paper is to develop an efficient and reliable spectral integral equation method for solving two-dimensional unsteady advection-diffusion equations.

Design/methodology/approach
In this study, the considered two-dimensional unsteady advection-diffusion equations are transformed into the equivalent partial integro-differential equations via integrating from the considered unsteady advection-diffusion equation. After this stage, by using Chebyshev polynomials of the first kind and the operational matrix of integration, the integral equation would be transformed into the system of linear algebraic equations. Robustness and efficiency of the proposed method were illustrated by six numerical simulations experimentally. The numerical results confirm that the method is efficient, highly accurate, fast and stable for solving two-dimensional unsteady advection-diffusion equations.

Findings
The proposed method can solve the equations with discontinuity near the boundaries, the advection-dominated equations and the equations in irregular domains. One of the numerical test problems designed specially to evaluate the performance of the proposed method for discontinuity near boundaries.

Originality/value
This study extends the intention of one dimensional Chebyshev approximate approaches (Yuksel and Sezer, 2013; Yuksel et al., 2015) for two-dimensional unsteady advection-diffusion problems and the basic intention of our suggested method is quite different from the approaches for hyperbolic problems (Bulbul and Sezer, 2011).
The effect of relational selling on life insurance decision making in India
Authors: Ankitha Shetty , Basri Savitha 
Published: June 2019

Purpose
The biggest challenge in the Indian life insurance industry is mis-selling and unfair business practices. The purpose of this paper is to explore the effect of relational selling behaviour on investor decision making in life insurance market in India. This study also aims to elucidate the mediating role of trust in predicting the purchase of life insurance policies by investors.

Design/methodology/approach
A cross-sectional survey was carried out to collect quantitative data using a validated structured questionnaire. A total of 813 policyholders of life insurance companies operating in Karnataka, South India, were chosen. The data were analysed using the partial least square method of structural equation modeling.

Findings
The process of investors’ life insurance buying decision is directly influenced by interaction intensity, co-operative intentions of agents, sharing of overt and covert policy information, and indirectly through the partial mediation of trust. Also, trust fully mediates the effect of agent disclosure and personal rapport on decision making by investors. The importance‒performance map analysis highlights the pivotal role of overt policy information in investors’ decision making.

Practical implications
The financial mis-selling in India can be curtailed significantly if the insurance companies insist on responsible and relational selling by their sales agents. The companies would also strategically gain by investing in trust-building programs that enhance quality interactions and honest disclosure of overt and covert policy information, unpretentious intention to co-operate in the policy selection, and emphasize emotional connection and personal rapport with customers. These genuine actions and behavioural manifestations would certainly facilitate appropriate decision making by the investors.

Originality/value
There is a paucity of research in India which explicates the role of relational selling behaviour in insurers’ decision making. As such, this article expands the scope of relational marketing research in insurance by assessing the relational determinants of investor decisions as well as the role of trust as the mediator in influencing insurance decision making.
Design limits for framed wall assemblies dependent on material choices for sheathing membranes and exterior insulation
Authors: Lee Ivan , Roppel Patrick , Lawton Mark , Ferreira Prudence 
Published: June 2019

Purpose
The purpose of this paper is to propose a methodology for evaluating the hygrothermal performance of framed wall assemblies based on design limits. This methodology allows designers to evaluate wall assemblies based on their absolute performance rather than relative performance which is typically done for most hygrothermal analysis.

Design/methodology/approach
The approach in developing this methodology was to evaluate wall assemblies against three typical design loads (e.g. air leakage, construction moisture, rain penetration) and determine limits in minimum insulation ratio, maximum indoor humidity and maximum rain penetration rates. This analysis was performed at both the field area of the wall and at framing junctions such as window sills.

Findings
The findings in this paper shows example design limits for various wall assemblies in heating-dominated climates in North America. Design limits for wall assemblies with moisture membranes of different vapour permeance are provided for both the field area of the wall and at window sills. Discussions about the importance of 2D hygrothermal simulation and performance of vapour permeable sub-sill membranes are also provided.

Originality/value
This framework of hygrothermal analysis will enable designers to make better decisions when designing framed wall assemblies suitable to the local climate and interior specifications for their projects. It will also enable the development of a design tool that will allow designers to visually see the implications of certain design decisions and filter out designs that do not meet their design conditions.
Application of ANFIS, ANN and fuzzy time series models to CO2 emission from the energy sector and global temperature increase
Authors: Khan Muhammad Zahir , Khan Muhammad Farid 
Published: June 2019

Purpose
A significant number of studies have been conducted to analyze and understand the relationship between gas emissions and global temperature using conventional statistical approaches. However, these techniques follow assumptions of probabilistic modeling, where results can be associated with large errors. Furthermore, such traditional techniques cannot be applied to imprecise data. The purpose of this paper is to avoid strict assumptions when studying the complex relationships between variables by using the three innovative, up-to-date, statistical modeling tools: adaptive neuro-fuzzy inference systems (ANFIS), artificial neural networks (ANNs) and fuzzy time series models.

Design/methodology/approach
These three approaches enabled us to effectively represent the relationship between global carbon dioxide (CO2) emissions from the energy sector (oil, gas and coal) and the average global temperature increase. Temperature was used in this study (1900-2012). Investigations were conducted into the predictive power and performance of different fuzzy techniques against conventional methods and among the fuzzy techniques themselves.

Findings
A performance comparison of the ANFIS model against conventional techniques showed that the root means square error (RMSE) of ANFIS and conventional techniques were found to be 0.1157 and 0.1915, respectively. On the other hand, the correlation coefficients of ANN and the conventional technique were computed to be 0.93 and 0.69, respectively. Furthermore, the fuzzy-based time series analysis of CO2 emissions and average global temperature using three fuzzy time series modeling techniques (Singh, Abbasov–Mamedova and NFTS) showed that the RMSE of fuzzy and conventional time series models were 110.51 and 1237.10, respectively.

Social implications
The paper provides more awareness about fuzzy techniques application in CO2 emissions studies.

Originality/value
These techniques can be extended to other models to assess the impact of CO2 emission from other sectors.
Interoperability optimisation for shared equity housing model development and FTB homeownership in the UK
Authors: Ayoade Oladotun , Ahmed Vian , Baldry David 
Published: June 2019

Purpose
This paper aims to assess financial interoperability implications associated with first-time buyers (FTB) in housing development and the role of the community land trust shared equity housing model (CLT SEHM).

Design/methodology/approach
The interoperability optimisation process adopted by this study involved triangulated findings from the literature, semi-structured interviews and questionnaire surveys. The text analysis of interview responses was actualised with Nvivo 9.0. This process informed the validation of themes through a questionnaire survey (purposive sampling), of which findings were subsequently analysed with statistical methods including binary logistic regression to validate interoperability rational and implications.

Findings
The study identified positive financial interoperability outcomes for a successful synergy between the CLT SEHM and FTBs. From the analysis, there were sustainable results for average income multiple and property transfer/resale value for the CLT SEHM compared to conventional models. However, for the most at risk FTB groups, recommendations included increased concessions for CLT SEHM developments to incentivise bespoke rent purchase hybrid schemes.

Originality/value
This research provided a good starting point for achieving an improved level of efficiency necessary for the introduction of emerging/renewed alternative housing models into mainstream operational capabilities in housing and local development policies.