bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-cell RNA-seq data reveals TNBC tumor heterogeneity through characterizing subclone compositions and proportions
Authors: Wang Weida , Xu Jinyuan , Wang Shuyuan , Xia Peng , Zhang Li , Yu Lei , Wu Jie , Song Qian , Zhang Bo , Xu Chaohan , Xiao Yun 
Published: November 2019

AbstractUnderstanding subclonal architecture and their biological functions poses one of the key challenges to deeply portray and investigative the cause of triple-negative breast cancer (TNBC). Here we combine single-cell and bulk sequencing data to analyze tumor heterogeneity through characterizing subclone compositions and proportions. Based on sing-cell RNA-seq data (GSE118389) we identified five distinct cell subpopulations and characterized their biological functions based on their gene markers. According to the results of functional annotation, we found that C1 and C2 are related to immune functions, while C5 is related to programmed cell death. Then based on subclonal basis gene expression matrix, we applied deconvolution algorithm on TCGA tissue RNA-seq data and observed that microenvironment is diverse among TNBC subclones, especially C1 is closely related to T cells. What’s more, we also found that high C5 proportions would led to poor survival outcome, log-rank testp-value and HR [95%CI] for five years overall survival in GSE96058 dataset were 0.0158 and 2.557 [1.160-5.636]. Collectively, our analysis reveals both intra-tumor and inter-tumor heterogeneity and their association with subclonal microenvironment in TNBC (subclone compositions and proportions), and uncovers the organic combination of subclones dictating poor outcomes in this disease.HighlightsWe applied deconvolution algorithm on subclonal basis gene expression matrix to link single cells and bulk tissue together.
Biophysical characterization reveals the similarities of liposomes produced using microfluidics and electroformation
Authors: Schaich Michael , Sobota Diana , Sleath Hannah , Cama Jehangir , Keyser Ulrich F. 
Published: November 2019

AbstractGiant Unilamellar Vesicles (GUVs) are a versatile tool in many branches of science, including biophysics and synthetic biology. Octanol-Assisted Liposome Assembly (OLA), a recently developed microfluidic technique enables the production and testing of GUVs within a single device under highly controlled experimental conditions. It is therefore gaining significant interest as a platform for use in drug discovery, the production of artificial cells and more generally for controlled studies of the properties of lipid membranes. In this work, we expand the capabilities of the OLA technique by forming GUVs of tunable binary lipid mixtures of DOPC, DOPG and DOPE. Using fluorescence recovery after photobleaching we investigated the lateral diffusion coefficients of lipids in OLA liposomes and found the expected values in the range of 1 μm2/s for the lipid systems tested. We studied the OLA derived GUVs under a range of conditions and compared the results with electroformed vesicles. Overall, we found the lateral diffusion coefficients of lipids in vesicles obtained with OLA to be quantitatively similar to those in vesicles obtained via traditional electroformation. Our results provide a quantitative biophysical validation of the quality of OLA derived GUVs, which will facilitate the wider use of this versatile platform.
New electrical parameters extraction method based on simplified 3D model using finite element analysis
Authors: González-Teodoro Jorge Rafael , Romero-Cadaval Enrique González , Asensi Rafael , Prieto Roberto , Kindl Vladimir 
Published: November 2019

Purpose
The purpose of this paper is the presentation of an electrical equivalent circuit for inductive components as well as the methodology for electrical parameter extraction by using a 3 D finite element analysis (FEA) tool.

Design/methodology/approach
A parameter extraction based on energies has been modified for three dimensions. Some simplifications are needed in a real model to make the 3 D finite element method (FEM) analysis operative for design engineers. Material properties for the components are modified at the pre-modeling step and a corrector factor is used at the post-modeling step to achieve the desired accuracy.

Findings
The current hardware computational limitations do not allow the 3 D FEA for every magnetic component, and due to the component asymmetries, the 2 D analysis are not precise enough. The application of the new methodology for three dimensions to several actual components has shown its usefulness and accuracy. Details concerning model parameters extration are presented with simulation and measurement results at different operation frequencies from 1 kHz to 1 GHz being the range of switching frequencies used by power electronic converters based on Si, SiC or GaN semiconductors.

Practical implications
This new model includes the high-frequency effects (skin effect, proximity effect, interleaving and core gap) and other effects can be only analyzed in 3 D analysis for non-symmetric components. The electrical parameters like resistance and inductance (self and mutual ones) are frequency-dependent; thus, the model represents the frequency behavior of windings in detail. These parameters determine the efficiency for the inductive component and operation capabilities for the power converters (as in the voltage boost factor), which define their success on the market.

Originality/value
The user can develop 3 D finite element method (FEM)-based analyses with geometrical simplifications, reducing the CPU time and extracting electrical parameters. The corrector factor presented in this paper allows obtaining the electrical parameters when 3D FE simulation would have developed without any geometry simplications. The contribution permits that the simulations do not need a high computational resource, and the simulation times are reduced drastically. Also, the reduced CPU time needed per simulation gives a potential tool to optimize the non-symmetric components with 3 D FEM analysis.
Calibration of laser welding model based on optimization techniques
Authors: Petrasova Iveta , Kotlan Václav , Šroubová Lenka , Karban Pavel , Doležel Ivo 
Published: November 2019

Purpose
The purpose of this paper is to present the calibration of a laser welding model suitable for solving problems with input data that are either unknown or known only approximately.

Design/methodology/approach
The calibration starts from the measured temperature profile of the weld, and the aim is to get a similar profile by the solution of the model. The corresponding procedure is based on replacing the material characteristics that are known only approximately by polynomial or rational functions whose coefficients are determined using a suitable optimization process. The algorithm is supplemented with a simplified model of the keyhole shape.

Findings
The big advantage of the proposed approach is the velocity of solution of the problem and low consumption of the sources (hardware and software). In comparison with solving the full model of laser welding, the methodology provides results of a still acceptable accuracy by several orders faster. On the other hand, the results also depend on the strategy of selecting the points at which the temperature is verified and on “manual” setting of the deformation parameters.

Research limitations/implications
Application of the methodology is conditioned by several experiments with the used material (without experiment it is impossible to carry out the calibration and set the shape of the keyhole), while the full model allows it. On the other hand, the full model is not able to predict the errors in the case when some input data is unknown or known only approximately and the results have to be also confirmed experimentally.

Practical implications
The presented methodology may be used for determining unknown material characteristics and faster modelling of laser welding.

Originality/value
This paper proposes a novel methodology for evaluation of quality of laser welds in cases of unknown or partially unknown material parameters and substantial acceleration (by 2-3 orders) of the numerical solution of the model of laser welding.
Optimal design of the compensation networks of an inductive wireless power transfer system
Authors: Bertoluzzo Manuele , Sieni Elisabetta 
Published: November 2019

Purpose
This paper aims to present an approach to the design of the compensation networks (CNs) based on a genetic optimization algorithm. The algorithm is applied to CNs with T-topology and considers the effects of the parasitic series resistances of their inductive components. The effectiveness of the algorithm is verified using Bode diagrams and simulation results.

Design/methodology/approach
The paper at first describes the problem and the approach followed to reach a set of optimal solutions, then explains the optimization algorithm, reports the obtained solutions and selects the optimal CNs. Finally, the actual performance of the wireless power transfer system (WPTS) when the selected CNs are used are checked.

Findings
This approach gave interesting results and made available a number of different sizing solutions of complex networks in a very short time. Most of the obtained solutions outperform the widely used series-series compensation. An accurate post processing of the obtained result is mandatory to discriminate the solutions that could be implemented from those that in a real system would originate uncontrolled high frequency current oscillation.

Originality/value
This paper offers a rather new approach to solve the problem of sizing the CNs of a dynamic WPTS. This approach makes available a large number of optimal solutions to the problem in a short time, without solving complex system of equations.
A process account of the relationship between informal learning and expressions of anger and anxiety
Authors: Federman Jessica E. 
Published: November 2019

Purpose
This paper aims to explore how negative emotions lead to differential relationships with informal learning. Informal learning is posited to serve as a coping mechanism and positively influence performance.

Design/methodology/approach
This paper provides a conceptual, process-based framework to explain the relationship between informal learning and stressful emotions of anger and anxiety.

Findings
The proposed framework in this paper suggests that informal learning in conjunction with emotion regulation can help neutralize negative emotions and promote improved cognitive functioning, better social functioning and higher task performance. From a practical perspective, the provided framework should help managers and organizational leaders better understand the emergence of negative emotion and how to constructively channel employee well-being from them.

Originality/value
Much of the informal learning literature has investigated dispositional and situational influences, without regard to the role that discrete emotions play in influencing cognitive, behavioral and motivational learning processes. This paper addresses this gap through a theoretical framework that explains the relationship between negative emotions and informal learning.
The effects of socio-political context on Tourism
Authors: Shahrabani Shosh , Teitler-Regev Sharon , Desivilya Syna Helena , Tsoukatos Evangelos , Ambrosio Vitor , Correia Loureiro Sandra Maria , Voulgaris Fotini 
Published: November 2019

Purpose
The purpose of this paper is to examine the effects of tourists’ perceptions of political and economic instability and risks of terrorism on their intentions to travel to countries associated with various risks.

Design/methodology/approach
A total of 648 Greek, Israeli and Portuguese students completed a questionnaire focusing on their perceptions concerning factors that shape their travel decisions.

Findings
The findings showed that among tourists from Greece and Portugal, the experience of economic crisis and the salience of economic and political hardships mitigated their intentions to travel to destinations with similar problems. These factors had no effect on Israelis, who have not experienced such problems in their country. Frequent terrorist incidents diminished the intentions of Greek tourists to travel to destinations marked by terrorism, such as Israel. Thus, different factors affect tourists’ travel-related decisions in each of the three countries.

Originality/value
The study sheds light on how potential tourists construe the risks of traveling to specific destination countries based on hazards in their home countries, a topic that to date has received little research attention.
A model to align strategy formulation and implementation in higher education institutions in Brazil
Authors: Heinzen Daiane Aparecida de Melo , Loveridge Denis , Marinho Sidnei Vieira 
Published: November 2019

Purpose
The purpose of this paper is to create ways of improving the alignment of strategy formulation and implementation in Brazil’s higher education institutions (HEIs).

Design/methodology/approach
Evolution of scenarios and models through a 12-step process to assist strategy formulation and implementation for managerial/social activity in Brazil’s HEIs. Simple set theory was used as a backbone to assist scenario building. Two models were created. First, focused on an autopoietic model relating to Brazil’s HEIs. The second embedded the autopoietic model in a limited number of forces in Brazil that influence the HEIs but lie beyond their control. The process was corroborated by survey methods using respondents from Brazil and elsewhere.

Findings
In total, 22 respondents from within and outside Brazil confirmed the content of the scenarios while a small sample from within Brazil’s HEIs confirmed their usefulness in assisting strategy formulation and implementation.

Practical implications
Further experience in using the autopoietic model is needed to widen its corroboration beyond experience in this study.

Originality/value
Confirmation of a 12-step scenario-based process for strategy formulation and implementation and corroboration of its usefulness through a limited sample of respondents.
Using mobile methods to understand multifaceted heritage organisations
Authors: Johnstone Jane Hamilton , Bryce Derek , Alexander Matthew J. 
Published: November 2019

Purpose
This paper aims to evaluate the possibilities associated with go-along technique and other mobile qualitative methods augmenting other qualitative methods as a novel approach to developing understanding of multifaceted organisations.

Design/methodology/approach
The study explores the challenges associated with “static” qualitative methods for understanding multifaceted organisations and evaluates how a range of mobile methods can achieve a greater depth of analysis when researching complex hospitality and tourism settings. The paper uses an illustrative empirical case where mobile methods are used as part of a multi-method qualitative study exploring ancestral tourism in a large, heterogeneous tourism organisation.

Findings
This research highlights how mobile methods can service to: broaden the scope of interviews through introducing enhanced meaning and spontaneity; afford opportunity to explore and verify interview findings in informal settings; and widen participation in the study through ongoing recruitment of participants.

Practical implications
The authors identify implications for researchers working within hospitality and tourism who can gain additional insight by augmenting qualitative studies with mobile methods.

Originality/value
This paper identifies challenges in using more static qualitative methods when seeking understanding of complex, multifaceted tourism organisations where work activities are mobile and spatially dispersed. This research highlights the value of mobile methods in combination with other qualitative methods, to gain greater understanding of these organisations.
The shape of justice repair
Authors: Konradt Udo , Okimoto Tyler , Garbers Yvonne , Otte Kai-Philip 
Published: November 2019

PurposeThe purpose of this study is to examine the effect of supervisor’s unfair treatment on follower’s retributive and restorative justice perceptions. The main goal is to find asymmetric nonlinear trajectories in the relationship between the severity of unfair treatment and employees’ orientation toward retributive/restorative justice.Design/methodology/approachUsing an experimental policy-capturing design that varied five levels of transgression severity (none to very high) within supervisor–subordinate relationship injustice situations, 168 employees rated their retributive/restorative justice preferences. Latent growth curve modeling was used to fit the overall patterns of change.FindingsAs hypothesized, the trajectory of restorative justice was convex and progressed in a negative exponential shape, whereas the retributive justice trajectory was concave but followed a less steep positive exponential shape.Research limitations/implicationsThe main limitation is a threat to the external validity of the results. Scenario-based surveys may not fully generalize to actual organizational situations.Practical implicationsThese findings help managers to understand how unjust treatment can shape employees’ expectations and, thus, address it adequately. This is important to retain qualified personnel and to minimize workplace disengagement in the aftermath of poor treatment.Social implicationsRestorative justice is of great importance for minor and moderate violations of justice.Originality/valueBy illustrating different trajectories, this study extends research on restorative and retributive justice in organizations. The results help to understand when people expect restoration and are motivated to punish wrongdoers.
Modeling of the city evacuation plan in case of earthquake with particle swarm optimization (PSO) and imperialist competition algorithm (ICA)
Authors: Asadi Morteza , Karami Jalal 
Published: November 2019

Purpose
The aim of this study was to determine the number of shelters, specify some optimal paths among building blocks towards shelters, and assign population to shelters.

Design/methodology/approach
Imperialist competition algorithm (ICA) and particle swarm optimization (PSO) were used to optimize the objectives of this study.

Findings
The optimal value for PSO objective function was with the number of function evaluations (NFE) of 5300 and the optimal value of ICA objective function was with NFE of 1062. Repetition test for both algorithms showed that imperialist competition algorithm enjoys better stability and constancy and higher speed of convergence compared to particle swarm algorithm. This has been also shown in larger environments. 92% of the existing populations have access to shelters at a distance of less than600 meters. This means that evacuation from the building blocks to shelters takes less than 8 minutes. The average distance from a block (for example, a residential complex) to an optimal shelter is approximately273meters. The greatest risk of route and shelter has been 239 and 121, respectively.

Research limitations/implications
To address these goals, four following objective functions were considered: a) minimization of the distance for getting all the people to shelters b) the lowest total risk of the discharge path c) minimization of the total time required to transfer people to shelters or hospitals if necessary, and d) the lowest total risk in shelters.

Social implications
Over the recent decades, the frequency of so-called ‘natural’ disasters has increased significantly worldwide and resulted in escalating human and economic losses. Among them, the earthquake is one of the major concerns of the various stakeholders related to urban planning.

Originality/value
In addition, the maximum time of discharge from the helter to the hospital has been 17 minutes, which means the presence of good access to selected shelters.
Why include the BOP in your international marketing strategy
Authors: Nagy May , Bennett Dag , Graham Charles 
Published: November 2019

Purpose
The purpose of this paper is to test the premise that brand growth can come from targeting the poorest consumers at the bottom of the economic pyramid (BOP). This study is the first that uses quantitative marketplace data covering BOP consumer purchase records.

Design/methodology/approach
The study uses newly available panel data from Egypt covering 15 months and 35 categories of frequently bought consumer goods. Brand penetration rates for socio-demographic tiers are established to explore brand purchasing. The metrics are: penetration, the number of buyers a brand has; and loyalty as measured by purchase frequency and share of category requirements.

Findings
Buyer behaviour patterns for the poorest consumers do not differ much from those in advanced economies; all brand performance metrics vary according to brand penetration – a double jeopardy effect, and the biggest brands are those that target the whole market, including the base.

Research limitations/implications
Data are from one country only and while the results confirm that patterns of brand buying in this BOP segment are like those in other markets, more research needs to be done to confirm the finding.

Practical implications
The biggest brands are those with the most customers, even if those customers are poor and do not buy very often. Growth can therefore be based on marketing interventions that appeal to the largest possible customer base.

Social implications
There are 2bn BOP consumers worldwide. This research shows that they may already be marginal members of modern economies and consumer culture.

Originality/value
This paper extends previous research on brand buying behaviour for the first time to the vast base of poor consumers who make up around half of the world’s population. This research shows that strategic approaches that emphasise increasing penetration are most likely to result in brand growth.
Halal transportation adoption among pharmaceuticals and comestics manufacturers
Authors: Ngah Abdul Hafaz , Ramayah T. , Ali Mohd Helmi , Khan Mohd Imran 
Published: November 2019

Purpose
This study aims to identify the factors influencing the decision to the Halal transportation adoption among pharmaceuticals and cosmetics manufacturers.

Design/methodology/approach
Base on the technology-organization-environment (TOE) framework, applying the purposive sampling method, data were gathered from questionnaires distributed to the participants of Malaysia International Halal Showcase (MIHAS) and Halal festival (Halfest). Out of 110 questionnaires distributed, only 97 data from 102 respondents could be used for further analysis. SMART-PLS 3.2.7 was used to analyze the data for this study using a structural equation modeling approach.

Findings
Perceived benefits, competitive pressure (COMP) and customer pressure were found to have a significant relationship with the intention to adopt Halal warehousing services, the organizational readiness was found to be a not significant factor in the adoption of Halal transportation. Top management attitudes (TMAs) moderate the positive relationship between COMP and the intention to adopt Halal transportation services.

Research limitations/implications
This paper focuses on the Halal manufacturers in the pharmaceuticals and cosmetics industry who attended MIHAS and Halfest, which still not adopting Halal transportation activities.

Practical implications
The findings provide useful information to a better understanding of the factors influencing the adoption of Halal transportation among Malaysian Halal cosmetics and pharmaceutical manufacturers. Related parties such as the government, the Halal transport service providers and the customers could use these findings to plan further action to enhance the adoption of Halal transport adoption.

Originality/value
The study revealed the capability of the TOE framework to identify the factors influencing the decision to adopt Halal transportation among Malaysian Halal cosmetics and pharmaceutical manufacturers. TMA was found to have a moderation effect on the relationship between COMP and the intention to adopt Halal transportation.