bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Principle of Similitude in Biology: From Allometry to the Formulation of Dimensionally Homogenous ‘Laws’
Authors: Escala Andrés 
Published: January 2018

ABSTRACTMeaningful laws of nature must be independent of the units employed to measure the variables. The principle of similitude (Rayleigh 1915) or dimensional homogeneity, states that only commensurable quantities (ones having the same dimension) may be compared, therefore, meaningful laws of nature must be homogeneous equations in their various units of measurement, a result which was formalized in the Π theorem (Vaschy 1892; Buckingham 1914). However, most relations in allometry do not satisfy this basic requirement, including the ‘3/4 Law’ (Kleiber 1932) that relates the basal metabolic rate and body mass, besides it is sometimes claimed to be the most fundamental biological rate (Brown et al. 2004) and the closest to a law in life sciences (Brown et al. 2004). Using the Π theorem, here we show that it is possible to construct an unique homogeneous equation for the metabolic rates, in agreement with data in the literature. We find that the variations in the dependence of the metabolic rates on body mass are secondary, coming from variations in the allometric dependence of the heart frequencies. This includes not only different classes of animals (mammals, birds, invertebrates) but also different aerobic conditions (basal and maximal). Our results demonstrate that most of the differences found in the allometric exponents (White et al. 2007) are due to compare incommensurable quantities and that our dimensionally homogenous formula, unify these differences into a single formulation. We discuss the ecological implications of this new formulation in the context of the Malthusian’s, Fenchel’s and Calder’s relations.
Classifying bladder cancer subtypes
Authors: Kaya Cihan , Pabon Nicolas Arcenio 
Published: January 2018

AbstractUrothelial carcinoma of the bladder is is estimated to have killed over 16,000 people in the United States in 2016. Like breast cancer, bladder cancer is a heterogeneous disease, and characterization of it’s various subtypes can be useful for forecasting prognosis and treatment efficacy. According to The Cancer Genome Atlas (TCGA) project, the mRNA expression profiles of bladder tumours can be used to cluster the tumors into four different categories: I - Papillary-like, II ‐Luminal A, III - basal/squamous-like, and IV - other (similar to III). However it is not clear whether these mRNA expression based clusters correlate with other molecular and genetic features of the tumor cells. In other words, do differences in mRNA expression profile contain the same information as differences in protein expression, micro RNA (miRNA) expression, copy number variation and somatic mutation data. We tried to recreate mRNA based bladder tumor clusters from other multi-omic data for 328 bladder cancer tumor samples using a special deep and wide belief network composed of restricted Boltzmann machines and a multilayer perceptron. For 10-fold cross validation, we got 79% average test accuracy which implies that that differences in mRNA expression between bladder tumor cells can be reliably, though not perfectly, inferred from different molecular and genetic features of the tumors.
A comparative study of modified cubic B-spline differential quadrature methods for a class of nonlinear viscous wave equations
Authors: Mittal Ramesh Chand , Dahiya Sumita 
Published: January 2018

Purpose
In this study, a second-order standard wave equation extended to a two-dimensional viscous wave equation with timely differentiated advection-diffusion terms has been solved by differential quadrature methods (DQM) using a modification of cubic B-spline functions. Two numerical schemes are proposed and compared to achieve numerical approximations for the solutions of nonlinear viscous wave equations.

Design/methodology/approach
Two schemes are adopted to reduce the given system into two systems of nonlinear first-order partial differential equations (PDE). For each scheme, modified cubic B-spline (MCB)-DQM is used for calculating the spatial variables and their derivatives that reduces the system of PDEs into a system of nonlinear ODEs. The solutions of these systems of ODEs are determined by SSP-RK43 scheme. The CPU time is also calculated and compared. Matrix stability analysis has been performed for each scheme and both are found to be unconditionally stable. The results of both schemes have been extensively discussed and compared. The accuracy and reliability of the methods have been successfully tested on several examples.

Findings
A comparative study has been carried out for two different schemes. Results from both schemes are also compared with analytical solutions and the results available in literature. Experiments show that MCB-DQM with Scheme II yield more accurate and reliable results in solving viscous wave equations. But Scheme I is comparatively less expensive in terms of CPU time. For MCB-DQM, less depository requirements lead to less aggregation of approximation errors which in turn enhances the correctness and readiness of the numerical techniques. Approximate solutions to the two-dimensional nonlinear viscous wave equation have been found without linearizing the equation. Ease of implementation and low computation cost are the strengths of the method.

Originality/value
For the first time, a comparative study has been carried out for the solution of nonlinear viscous wave equation. Comparisons are done in terms of accuracy and CPU time. It is concluded that Scheme II is more suitable.
A coupling method incorporating digital image processing and discrete element method for modeling of geomaterials
Authors: Meng Qingxiang , Wang Huanling , Xu Weiya , Zhang Qiang 
Published: January 2018

Purpose
This paper aims to present a digital image processing (DIP)-based discrete element method (DEM) for the analysis of heterogeneous geomaterials. Taking a soil and rock mixture as an example, the direct shear test is used to illustrate the application of this method. The numerical result is validated by the laboratory experiment and implies its feasibility in the analysis of heterogeneous geomaterials.

Design/methodology/approach
This method has two major steps. Based on a modification of the connected-component labeling algorithm, a novel vectorization method, which can transform the digital photos to vectorized geometry automatically, is proposed first. Then, a simple yet effective method for the generation of heterogeneous DEM models is presented using the simulation of simplicity technique.

Findings
DIP-DEM method is a feasible approach for the analysis of mechanical behavior of heterogeneous material. For soil and rock mixtures (SRM), the horizantal deformation at peak shear point becomes larger with the normal stress. Compared with pure soil, the rock aggregates mainly improve the friction angle of SRM.

Originality/value
As a universal method taking advantage of both DIP and DEM, this method has broad application prospects in related fields.
Differential quadrature solutions for the nonconservative instability of a class of single-walled carbon nanotubes
Authors: De Rosa Maria Anna , Lippiello Maria , Tomasiello Stefania 
Published: January 2018

Purpose
The purpose of the present paper is to investigate the nonconservative instability of a single-walled carbon nanotube (SWCNT) with an added mass through nonlocal theories. The governing equations are discretized by means of the differential quadrature (DQ) rules, as introduced by Bellman and Casti. DQ rules have been largely used in engineering and applied sciences. Recently, they were applied to enhance some numerical schemes, such as step-by-step integration schemes and Picard-like numerical schemes.

Design/methodology/approach
In the present paper, the DQ rules are used to investigate the nonconservative instability of a SWCNT through nonlocal theories.

Findings
To show the sensitivity of the SWCNT to the values of added mass and the influence of nonlocal parameter on the fundamental frequencies values, some numerical examples have been performed and discussed. Yet, the effect of the different boundary conditions on the instability behaviour has been investigated. The validity of the present model has been confirmed by comparing some results against the ones available in literature.

Originality/value
Applying the nonlocal elasticity theory, this paper presents a re-formulation of Hamilton’s principle for the free vibration analysis of a uniform Euler–Bernoulli nanobeam. The main purpose of this paper is to investigate the free vibration response of an SWCNT with attached mass and for various values of small scale effects.
Entrepreneurial intention and the effects of entrepreneurial education
Authors: Passoni Diego , Glavam Rafael Bianchini 
Published: January 2018

Purpose
The purpose of this paper is to compare the levels of entrepreneurial intention (EI) among academics from different fields of university knowledge and to evaluate the effect of entrepreneurial education (EE) on students taking management, engineering and accounting courses.

Design/methodology/approach
A survey has been conducted with 491 academics from different fields of knowledge at the Brazilian undergraduate level to compare their EI levels and to validate the effect of EE in the EI in management, engineering and accounting courses.

Findings
This study has demonstrated that EE has a positive effect on EI among undergraduate management and engineering students.

Research limitations/implications
This study has been restricted to some fields of knowledge within the undergraduate courses at university level. It has generated specific conclusions and recommendations that cannot be generalised. It suggests new lines of research from its results.

Practical implications
This study may encourage investment in EE programmes in certain fields of knowledge within institutions and communities that need to foster entrepreneurship as a driver of economic development.

Originality/value
This study provides empirical evidence of the impact of EE on EI among academics from different fields of knowledge in higher education institutions in Brazil, as well as compares and lists the undergraduate courses where students have more entrepreneurial intention.
Promoting entrepreneurial intention through a higher education program integrated in an entrepreneurship ecosystem
Authors: Ferrandiz Julia , Fidel Pilar , Conchado Andrea 
Published: January 2018

Purpose
The purpose of this paper is to improve the current knowledge of the effects of a higher education program for entrepreneurs, integrated in an entrepreneurial ecosystem, in the entrepreneurial intention of the students.

Design/methodology/approach
For this, group dynamics have been carried out with the students to know the process of entrepreneurial learning, the acquisition of competences, the mentoring received and the influence of the program in its entrepreneurial intention in the short and medium term.

Findings
The results suggest that the program positively influences students’ entrepreneurial intention, especially in the medium term. In particular, they point out that working personal skills in the program contribute to the development of their entrepreneurial project. On the other hand, mentoring requires a more methodical accompaniment and a greater degree of specialization of the mentors.

Research limitations/implications
This research represents an excellent first step toward a better understanding of the factors that influence entrepreneurial intention. In addition, they lead to improve existing knowledge about the impact of entrepreneurial higher education. The only limitation of the paper is given by its nature as a case study.

Practical implications
The case study aims to provide the results of the practical experience of a higher education program in entrepreneurship and serve as a basis for future lines of research that address the research gap based on the need of identification of best practices in entrepreneurship education and entrepreneurial behavior.

Social implications
This work brings practical experience that inspires diverse social actors as managers of higher education programs, managers of ecosystems entrepreneurs and public institutions.

Originality/value
Our findings respond to previous concerns on the results of programs aimed at training future entrepreneurs. Besides, this work describes an interesting case study based on a postgraduate program, while most of the previous studies have been limited to undergraduate programs.
Megaprojects redefined – complexity vs cost and social imperatives
Authors: Pitsis Alexandra , Clegg Stewart , Freeder Daphne , Sankaran Shankar , Burdon Stephen 
Published: January 2018

Purpose
The purpose of this paper is to provide a brief overview from the literature on how best to define megaprojects in contemporary contexts. There is a need for a definition that encompasses a complex matrix of characteristics, inclusive of positive and negative aspects, which are not necessarily industry or sector specific. Whilst megaprojects have often been described and defined in terms of cost, they are more accurately delineated by their convolutions. Intricacies arise from political intrigues surrounding funding of such projects and managing and governing complex social and organizational relations. Points for future research are also identified.

Design/methodology/approach
An analysis of international megaproject literature over the past five years combined with seminal works was undertaken, drawing on the broad literature of project and program management combined with elements of organizational theory. Whilst some examples are cited, in-depth case analysis has not been covered.

Findings
Albeit that the scale of some megaprojects is comparable to national GDPs, seven more characteristics beyond size have been identified, which distinguish megaprojects from large projects. These include: reach; duration; risks and uncertainties; widely disparate actors; areas of controversy such as dispute resolution; and legal and regulatory issues.

Research limitations/implications
The paper takes a broad overview and whilst some examples are cited, in-depth case analysis has not been covered. The overview does however provide a good synopsis of the future research areas that warrant exploration.

Practical implications
The paper identifies a range of analytical areas for major future research including further exploration of institutional analysis. Areas for further analysis include stakeholder issues; collaboration and understanding between technical and business personnel and reforming notions of procurement and contractual arrangements.

Social implications
Rigorous stakeholder engagement is critical for success in megaprojects, and collaborative learnings need to be exchanged. The longer term social and economic impacts need to be viewed as an imperative rather than a hindrance to the planning and execution of megaprojects and complexity rather than cost more aptly defines megaprojects.

Originality/value
The paper moves the definition of megaprojects to beyond measurement on the basis of cost to complexity and social and economic variables.
Megaproject management and leadership: a narrative analysis of life stories – past and present
Authors: Sankaran Shankar 
Published: January 2018

Purpose
The purpose of this paper is to glean leadership lessons of megaproject managers through the life stories of four purposefully selected managers from two contemporary and two landmark megaprojects.

Design/methodology/approach
A narrative inquiry approach applying thematic analysis is used to capture lessons learnt from these stories with a focus on leading megaprojects. Narrative analysis has been used in organization studies and this paper is an attempt to use it in project management research.

Findings
Common strategies used by all four megaproject managers to be successful include: selecting the right people and building their capability; building trust with stakeholders; dealing with institutional power and politics effectively; and having the courage to innovate. There were also some differences in the approaches used by these managers due the times in which these projects were implemented.

Research limitations/implications
The use of narrative inquiry is new to project management literature. As the life stories were not presented in the same way it was difficult to analyze them in the same manner, and further data had to be collected. This could have been avoided if it were feasible to collect narratives directly from the megaproject managers. This is being planned in future research emerging from this paper.

Practical implications
This study helps megaproject managers to exhibit leadership attributes that would be required to execute such large complex projects that have wide implications for the society, economy and the environment.

Social implications
Megaprojects are often considered major displacements that cause social and geophysical issues that affect the environment. Lessons learnt from these stories could be useful to avoid such issues. The stories analyzed showed the human side of the megaproject managers toward people related, health and societal issues.

Originality/value
Narrative inquiry is new to project management literature. In the past, project management literature has focused on extracting lessons learnt from historical and classical projects, but lessons from life stories of project managers have not been used for the same purpose.
The governance of major public infrastructure projects: the process of translation
Authors: Brunet Maude , Aubry Monique 
Published: January 2018

Purpose
The purpose of this paper is to investigate the process of translation of an institutionalized governance framework as adapted to a major project in practice. Although infrastructure projects have been studied for decades, most studies have emphasized economic or contingency-based perspectives. Of those studies, some researchers have focused on governance frameworks for public infrastructure projects, and their impact for shaping the front-end phase of those projects. Yet, little is known about the way actors translate and enact those governance frameworks into practice. Understanding this translation process will lead to a better understanding of the overall performance of major infrastructure projects.

Design/methodology/approach
This qualitative research is based on a case study of one public infrastructure project in the health sector in Quebec, Canada. Through non-participant observation and interviews, the planning phase of the project is presented as it unfolds.

Findings
The process of translation is presented, from the ostensive, institutionalized governance framework, to appropriation into performative practices, which resulted in 12 specific practices: four “structuring” practices at the institutional level, five “normalizing” practices at the organizational level and three “facilitating” practices at the project level.

Originality/value
The main contribution of this paper is to enrich our understanding of the governance of major public infrastructure projects with process- and practice-based theories.
The complex influences of quality management leadership and workforce involvement on manufacturing firm success
Authors: Formby Sam K. , Malhotra Manoj K. , Ahire Sanjay L. 
Published: January 2018

Purpose
Quality management constructs related to management leadership and workforce involvement have consistently shown strong correlation with firm success for years. However, there is an increasing body of research based on complexity theory (CT) suggesting that constructs such as these should be viewed as variables in a complex system with inter-dependencies, interactions, and potentially nonlinear relationships. Despite the significant body of conceptual research related to CT, there is a lack of methodological research into these potentially nonlinear effects. The purpose of this paper is to demonstrate the theoretical and practical importance of non-linear terms in a multivariate polynomial model as they become more significant predictors of firm success in collaborative environments and less significant in more rigidly controlled work environments.

Design/methodology/approach
Multivariate polynomial regression methods are used to examine the significance and effect sizes of interaction and quadratic terms in operations scenarios expected to have varying degrees of complex and complex adaptive behaviors.

Findings
The results find that in highly collaborative work environments, non-linear and interaction effects become more significant predictors of success than the linear terms in the model. In more rigid, less collaborative work environments, these effects are not present or significantly reduced in effect size.

Research limitations/implications
This study shows that analytical methods sensitive to detecting and measuring nonlinearities in relationships such as multivariate polynomial regression models enhance our theoretical understanding of the relationships between constructs when the theory predicts that complex and complex adaptive behaviors are present and important.

Originality/value
This study demonstrates that complex adaptive behaviors between management and the workforce exist in certain environments and provide greater understanding of factor relationships relating to firm success than more traditional linear analytical methods.
What drives intellectual capital reporting? Evidence from Kuwait
Authors: Alfraih Mishari M. 
Published: January 2018

Purpose
Motivated by the increased attention on intellectual capital reporting (ICR) from regulatory bodies, practitioners, and researchers and the recent calls for companies to supplement and complement their traditional financial statements with intellectual capital (IC) disclosure, the purpose of this paper is to investigate the drivers of ICR among the companies listed on the Kuwait Stock Exchange (KSE).

Design/methodology/approach
Content analysis was applied to the annual reports of all companies listed on the KSE in 2013. A multiple regression analysis was employed to explore the ICR drivers.

Findings
Despite the growing importance of ICR in capital markets, the study findings reveal an overall relatively low level of ICR among KSE-listed companies. In addition, the level of ICR varies significantly between companies. The results show that the level of ICR for all KSE-listed companies in 2013 ranged from 0 to 96 percent and the mean was 28 percent. The multiple regression analysis suggests that older, highly leveraged, larger, and profitable KSE-listed companies are associated with higher levels of ICR. Industrial sector is a partial driver.

Practical implications
Surprisingly, many of the KSE-listed companies do not disclose any IC information in their annual reports. Given the increasingly important role that IC information plays in capital markets, regulatory bodies should encourage, stimulate, and guide companies to report IC information. The findings offer insights as to the drivers of ICR that should improve efforts to develop recommendations that push for greater IC disclosure in corporate annual reports.

Originality/value
The study is the first examination of ICR drivers in Kuwait. It contributes to the literature by providing empirical evidence about ICR in a market with specific economic, social, and cultural characteristics. It enhances our understanding of ICR by revealing some of its drivers.