bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reproductive history determinesErbB2locus amplification, WNT signalling and tumour phenotype in a murine breast cancer model
Authors: Ordonez Liliana D , Melchor Lorenzo , Greenow Kirsty R. , Kendrick Howard , Tornillo Giusy , Bradford James , Giles Peter , Smalley Matthew J. 
Published: October 2020

AbstractUnderstanding the mechanisms underlying tumour heterogeneity is key to development of treatments that can target specific tumour subtypes. We have previously targeted CRE recombinase-dependent conditional deletion of the tumour suppressor genesBrca1,Brca2,p53and/orPtento basal or luminal ER− cells of the mouse mammary epithelium. We demonstrated that both the cell-of-origin and the tumour-initiating genetic lesions co-operate to influence mammary tumour phenotype. Here, we use a CRE-activated HER2 orthologue to specifically target HER2/ERBB2 oncogenic activity to basal or luminal ER− mammary epithelial cells and carry out a detailed analysis of the tumours which develop. We find that in contrast to our previous studies, basal epithelial cells are refractory to transformation by the activatedNeuKIallele, with mammary epithelial tumour formation largely confined to luminal ER− cells. Histologically, the majority of tumours that developed were classified as either adenocarcinomas of no special type or metaplastic adenosquamous tumours. Remarkably, the former were more strongly associated with virgin animals and were typically characterised by amplification of theNeuNT/ErbB2locus and activation of non-canonical WNT signalling. In contrast, tumours characterised by squamous metaplasia were associated with animals that had been through at least one pregnancy and typically had lower levels ofNeuNT/ErbB2locus amplification but had activated canonical WNT signalling. Squamous changes in these tumours were associated with activation of the Epidermal Differentiation Cluster. Thus, in this model of HER2 breast cancer, cell-of-origin, reproductive history,NeuNT/ErbB2locus amplification, and the activation of specific branches of the WNT signalling pathway all interact to drive inter-tumour heterogeneity.
Optimization of combustion and performance parameters by intake-charge conditions in a small-scale air-cooled hydrogen fuelled SI engine suitable for use in piston-prop aircraft
Authors: Gürbüz Habib 
Published: October 2020

Purpose
Spark ignition (SI) engines are used in a wide area in the transportation industry, from road vehicles to piston-prop aircraft. On the other hand, the decrease in reserves of fossil fuels used in SI engines and the increase in greenhouse gas emissions makes the use of alternative fuels inevitable. In this paper, optimization of in-cylinder combustion and engine performance parameters by intake-charge conditions [i.e. intake-air temperature, injection timing and exhaust gas recirculation (EGR)] in a hydrogen (H2)-fueled small SI engine is performed.

Design/methodology/approach
Experimental studies were performed at a 1,600 rpm engine speed of a single-cylinder, air-cooled engine having a stroke volume of 476.5 cm3, maximum output power of 13 HP and torque of 25 Nm. The hydrogen-fueled SI engine was operated by a lean air-fuel mixture (ϕ = 0.6) under wide-open throttle (WOT) conditions.

Findings
The findings of the paper show that improvements can be achieved in in-cylinder combustion, indicated engine performance, exhaust NOx emissions with optimum intake-air temperature, the start of H2 injection and the ERG rate.

Practical Implications
It has been determined that a 32°C intake-air temperature, 395°C (bTDC) start of H2 injection, and 5%–10% EGR rates are the most suitable values for the examined hydrogen fueled SI engine.

Originality Value
Hydrogen is a usable alternative fuel for SI engines used in a wide area from road vehicles to piston-prop aircraft engines. However, a number of problems remain that limit hydrogen fueled SI engines to some extent, such as backfire, a decrease of engine power, and high NOx emissions. Therefore, it is appropriate to examine the effects of intake-charge conditions on in-cylinder combustion, engine performance, and NOx emissions parameters in a hydrogen fuelled SI engine.
Management information system adoption at the farm level: evidence from the literature
Authors: Giua Carlo , Materia Valentina Cristiana , Camanzi Luca 
Published: October 2020

PurposeThis paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to identify the theories used in the literature to study the adoption of digital technologies and (2) to identify the drivers of and barriers to the adoption of such technologies.Design/methodology/approachThe literature review was based on a comprehensive review of contributions published in the 1998–2019 period. The search was both automated and manual, browsing through references of works previously found via high-quality digital libraries.FindingsDiffusion of innovations (DOIs) is the most frequently used theoretical framework in the literature reviewed, though it is often combined with other innovation adoption theories. In addition, farms’ and farmers’ traits, together with technological features, play a key role in explaining the adoption of these technologies.Research limitations/implicationsSo far, research has positioned the determinants of digital technology adoption mainly within the boundaries of the farm.Practical implicationsOn the practical level, the extensive determinants’ review has potential to serve the aim of policymakers and technology industries, to clearly and thoroughly understand adoption dynamics and elaborate specific strategies to deal with them.Originality/valueThis study’s contribution to the existing body of knowledge on the farm-level adoption of digital technologies is twofold: (1) it combines smart farming and existing technologies within the same category of farm-level MIS and (2) it extends the analysis to studies which not only focus directly on adoption but also on software architecture design and development.
The role of sustainability in the relationship between migration and smart cities: a bibliometric review
Authors: Mouazen Ali Mohamad , Hernández-Lara Ana Beatriz 
Published: October 2020

Purpose
Smart cities attract efficient and profitable economic activities, contribute to the societal welfare of their citizens and foster the efficient use and conservation of natural resources. Developing smart cities has become a priority for many developed countries, but as they are preferred destinations for migrants, this raises sustainability issues. They attract people who are seeking a better quality of life, smart services and solutions, a better environment and business activities. The purpose of this paper is to review the state of the art on the relationship between smart cities and migration, with a view to determining sustainability.

Design/methodology/approach
A bibliometric review and text mining analyses were conducted on publications between 2000 and 2019.

Findings
The results determined the main parameters of this research topic in terms of its growth, top journals and articles. The role of sustainability in the relationship between smart cities and migration is also identified, highlighting the special interest of its social dimension.

Originality/value
A bibliometric approach has not been used previously to investigate the link between smart cities and migration. However, given the current relevance of both phenomena, their emergence and growth, this approach is appropriate in determining the state of the art and its main descriptors, with special emphasis on the sustainability implications.
Optimal support vector machine and hybrid tracking model for behaviour recognition in highly dense crowd videos
Authors: Satya Sujith K. , Sasikala G. 
Published: October 2020

PurposeObject detection models have gained considerable popularity as they aid in lot of applications, like monitoring, video surveillance, etc. Object detection through the video tracking faces lot of challenges, as most of the videos obtained as the real time stream are affected due to the environmental factors.Design/methodology/approachThis research develops a system for crowd tracking and crowd behaviour recognition using hybrid tracking model. The input for the proposed crowd tracking system is high density crowd videos containing hundreds of people. The first step is to detect human through visual recognition algorithms. Here, a priori knowledge of location point is given as input to visual recognition algorithm. The visual recognition algorithm identifies the human through the constraints defined within Minimum Bounding Rectangle (MBR). Then, the spatial tracking model based tracks the path of the human object movement in the video frame, and the tracking is carried out by extraction of color histogram and texture features. Also, the temporal tracking model is applied based on NARX neural network model, which is effectively utilized to detect the location of moving objects. Once the path of the person is tracked, the behaviour of every human object is identified using the Optimal Support Vector Machine which is newly developed by combing SVM and optimization algorithm, namely MBSO. The proposed MBSO algorithm is developed through the integration of the existing techniques, like BSA and MBO.FindingsThe dataset for the object tracking is utilized from Tracking in high crowd density dataset. The proposed OSVM classifier has attained improved performance with the values of 0.95 for accuracy.Originality/valueThis paper presents a hybrid high density video tracking model, and the behaviour recognition model. The proposed hybrid tracking model tracks the path of the object in the video through the temporal tracking and spatial tracking. The features train the proposed OSVM classifier based on the weights selected by the proposed MBSO algorithm. The proposed MBSO algorithm can be regarded as the modified version of the BSO algorithm.
Constructing race in white spaces of Dutch education (1968–2017)
Authors: Sijpenhof Maria Luce 
Published: October 2020

PurposeThe key purpose of this paper is to explore how teachers' historical constructions of race and racism may reify whiteness in Dutch classrooms. How has whiteness contributed to how teachers understand and teach race and (historical) racism in white educational spaces in the years 1968–2017?Design/methodology/approachInterview data are obtained from a selection of Dutch secondary school (former) teachers, mostly history teachers, who have taught in the period between 1968–2017 (N = 28). Grounded theory and critical discourse analysis are used for analytical purposes.FindingsThe findings reveal that most teachers minimize and distort (historical) racism and its connection to the normalization of whiteness in the Netherlands. These teachers are constantly (re)constructing race based on their own histories, which silences race. This implicates contemporary educational spaces in numerous ways. Among other things, teachers normalize whiteness, while racializing the “other”, they explain racial inequities by reference to factors that exclude racism, and perpetuate whiteness through their teaching.Originality/valueWhile in the USA, critical scholars have long provided evidence for racism in educational contexts, racism in Dutch education remains largely unexamined. This paper offers a critical perspective on teachers' racial contributions.
Relationship between achievement goals and attention of university instructors in higher education professional training courses
Authors: Kücherer Benjamin , Dresel Markus , Daumiller Martin 
Published: October 2020

PurposeProfessional training courses play an important role for higher education instructors and their teaching quality. However, participants strongly differ in how much they learn in these courses. The present study seeks to explain these differences by focusing on attention as a central aspect of their behavioral engagement that can stem from participants' achievement motivations.Design/methodology/approachThe authors investigated the attention of participants in full-day higher education professional training courses and how differences therein are associated with their achievement goals. Prior to course participation, 117 university instructors (49.6% male, 79.5% with PhD, average age 31.4 years) reported their achievement goals. Using an adapted observational instrument (Hommel, 2012a), two raters subsequently observed and coded the participants' attention during the course (ICC2 = 0.83).FindingsThe results documented very high attention levels, although with substantial interindividual differences. Multilevel analyses indicated that learning goals positively and work avoidance goals negatively predicted observed attention.Originality/valueThe findings provide insight into the value of an observational approach to measuring a fundamental aspect of learning engagement, and contribute to the understanding of interindividual differences in an important higher education learning environment. The study illuminates the relevance of personal predictors for university instructors' successful learning. Specifically, the findings point to the significance of goals as a relevant, but surprisingly hitherto uninvestigated, premise of learning engagement.
Higher dimensional integrable Vakhnenko–Parkes equation: multiple soliton solutions
Authors: Wazwaz Abdul-Majid 
Published: October 2020

Purpose
This study aims to develop a new (3 + 1)-dimensional Painlevé-integrable extended Vakhnenko–Parkes equation. The author formally derives multiple soliton solutions for this developed model.

Design/methodology/approach
The study used the simplified Hirota’s method for deriving multiple soliton solutions.

Findings
The study finds that the developed (3 + 1)-dimensional Vakhnenko–Parkes model exhibits complete integrability in analogy with the standard Vakhnenko–Parkes equation.

Research limitations/implications
This study addresses the integrability features of this model via using the Painlevé analysis. The study also reports multiple soliton solutions for this equation by using the simplified Hirota’s method.

Practical implications
The work reports extension of the (1 + 1)-dimensional standard equation to a (3 + 1)-dimensional model.

Social implications
The work presents useful algorithms for constructing new integrable equations and for handling these equations.

Originality/value
The paper presents an original work with newly developed integrable equation and shows useful findings.
Lesson study as transformative learning for international graduate teaching assistants: “It's like we have a second life”
Authors: Collet Vicki Stewart , Peñaflorida Jennifer 
Published: October 2020

PurposeThis study aims to consider how lesson study (LS) supports international graduate assistants (IGAs) teaching in settings that are culturally different from their own prior experiences as learners.Design/methodology/approachThe authors used a single-case design to understand LS, including two IGAs and a domestic GA teaching at a US university. Data sources include audio recordings and field notes from LS sessions and lesson observations, data collected from online interactions, and individual interviews.FindingsQualitative analysis indicates IGAs felt their instruction improved as a result of participation, and they incorporated instructional practices aligned with norms in their new context. Through practical work with a narrow focus, IGAs collaborated with one another and with a more-experienced other. This created a context that reduced IGAs' cognitive dissonance, resulting in transformative teacher learning.Practical implicationsThe findings suggest LS might provide supports for transformative learning for IGAs and other teachers, especially when they experience cognitive dissonance, such as that caused by culturally different classroom expectations.Originality/valueThis paper speaks to the identified need for supporting IGAs' understanding of values and norms undergirding pedagogy in their new contexts.
Inside sales agent’s sales activities influence on work outcomes and sales agent tenure through autonomous motivation
Authors: Conde Richard , Prybutok Victor 
Published: October 2020

PurposePrevious sales research remains limited to analyzing the influence of sales activities with sales agent tenure. To date, research on this subject has focused on the downstream direct or indirect impact of sales activities to sales performance, failing to consider whether sales activities impact a sales agent’s tenure. This paper aims to assess the effect of sales activities on sales performance and sales agent engagement on sales agent tenure through the lens of autonomous motivation to better understand sales activities as an overall sales process antecedentDesign/methodology/approachThrough the utilization of secondary sales operational data, this research demonstrates the influence of sales activities on multiple sales agent outcomes, while depicting the importance of sales managers creating an autonomous motivational climate.FindingsThis research demonstrates the direct relationship between sales activities to job engagement and sales performance. However, sales activities have a negative relationship to sales agent tenure, which require a sales manager to create an autonomous motivation to mediate the relationship between sales activities and sales agent tenure.Practical implicationsOrganizations are provided with sample methodology and analysis to better determine how a culture grounded in autonomous motivation mediates sales activities and can be a catalyst for improving sales agent tenure. Then, provide a better understanding of the effect of actual sales activities on important sales department work outcomes.Originality/valueThe model is the first to test holistically the influence of sales activities on sales performance, sales agent engagement and tenure jointly by using actual secondary operational data. This study provides a glimpse of the real world balance a sales manager must consider between climate and activities. Plus, this study takes initial steps to study sales agent engagement, an under-researched construct in sales research.
Risk management in small family firms: insights into a paradox
Authors: Mitter Christine , Postlmayr Maria , Kuttner Michael 
Published: October 2020

PurposeThe purpose of this study is to provide insights into the risk management practices of small family firms (SFFs).Design/methodology/approachThis paper is based on a multi-site case study approach among ten SFFs (that employ between 10 and less than 50 employees according to the European Commission's recommendation 2003/361/EC) and draws on the concept of social capital.FindingsThe study demonstrates that the vast majority of sample SFFs lacks a formal risk management system and does not prepare for crises and emergencies. However, they are aware of most of their specific risks and draw on a number of risk-mitigation measures to address them. Social capital emerges as common thread and overarching principle in these risk-reduction initiatives, as the SFFs rely on long-standing, trusting and fair relationships with key stakeholders to cushion their businesses from adverse impacts. This prevalence of informal risk management mechanisms may partially explain the paradox as to why formal risk management tools are rarely applied in SFFs.Practical implicationsAs the study findings suggest that social capital serves SFFs as risk-reduction measure, owner-managers should capitalise on this specific strength. However, they should also invest in more systematic risk management initiatives to better equip their businesses with the tools to fend off adverse scenarios.Originality/valueThis study is among the first to analyse risk management in SFFs.
An examination of organizational and community effects on police response time
Authors: Salimbene Nicholas Andrew , Zhang Yan 
Published: October 2020

PurposeThe primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the authors look at the effect that incident-level factors such as the severity of a call for service (CFS) and community-level factors such as ethnic diversity have on police response time.Design/methodology/approachThe current study examined CFSs data collected over a three-year period and organizational information from 26 police departments in Northeast Texas, as well as community-level information. In order to measure the effect of organizational variables, community factors and incident-level variables on police response time, the authors employed the use of hierarchical linear models (HLMs).FindingsThe results of hierarchical linear modeling indicated that incident-level factors and police department size are significant predictors of response time.Research limitations/implicationsThere are two primary limitations: first, there were a lack of available organizational structure correlates such as age and differentiation. Second, the primary data set had a significant number of incomplete or repeating cases, thereby limiting the accuracy of the current study’s analysis.Originality/valueThe most unique aspect of this manuscript is that it examines how organizational factors affect police response time. Numerous studies analyzed determinants of police response time such as incident- and community-level factors, but the importance of organizational factors has not been analyzed.
Critical factors for total quality management implementation in the Brazilian construction industry
Authors: Reinaldo Lívia da Silveira Pereira , Vieira Neto Julio , Goyannes Gusmão Caiado Rodrigo , Gonçalves Quelhas Osvaldo Luiz 
Published: October 2020

PurposeThis paper aims to identify the critical success factors (CSFs) that affect the implementation of total quality management (TQM) and to investigate, from the perspective of Brazil, the latent factors for TQM implementation in the construction industry.Design/methodology/approachThe methodology consists of two methods. First, a literature review was conducted to identify CSFs for TQM implementation. Then, empirical research was conducted from a survey questionnaire applied to 130 professionals who have experience in the Brazilian construction industry. SPSS version-25 was used for data analysis, using descriptive statistics, and, finally, principal component analysis for identifying the latent factors.FindingsThe study findings portray convergences regarding the practitioners' perception in the light of the 20 critical factors identified in the literature, which can serve to make construction professionals aware of the key factors to TQM implementation. In addition, two latent factors, quality practices and human factor were identified, and they can assist the leaders and decision-makers for the implementation of TQM in the construction industry of a developing country.Originality/valueIt fills the gap of practical studies that compare the academic and practitioners' perspectives regarding the CSFs for TQM implementation in construction industry.