bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overall dynamic body acceleration as an indicator of dominance in homing pigeons
Authors: Ricketts Rhianna L. , Sankey Daniel W. , Tidswell Bryce P. , Brown Joshua , Deegan Joseph F. , Portugal Steven J. 
Published: April 2020

The benefits of dominance are well known and numerous, including first access to resources such as food, mates and nesting sites. Less well studied are the potential costs associated with being dominant. Here, the movement of two flocks of domestic homing pigeons (Columba livia) – measured via accelerometry loggers – was recorded over a period of two weeks. Movement was then used to calculate each individual’s daily overall dynamic body acceleration (ODBA, G), which can be used as a proxy for energy expenditure. The dominance hierarchy of the two flocks was determined via group-level antagonistic interactions, and demonstrated a significantly linear structure. The most dominant bird within each flock was found to move significantly more than conspecifics – on average, c.39% greater than the individual with the next highest degree of movement – indicating a possible cost to possessing the top rank within a hierarchy. Despite the dominance hierarchy being linear, mean daily total ODBA did not reflect a linear nature, with no pattern observed between rank and ODBA, once the top ranked individuals had been accounted for. This suggest that energy expenditure may be more reflective of a despotic hierarchy. These results show the potential for the future use of accelerometery as a tool to study the fusion of energetics and behaviour.Subject CategorybehaviourSubject Areasbehaviour, physiology
Single-cell RNA-seq reveals identity and heterogeneity of malignant osteoblast cells and TME in osteosarcoma
Authors: Zhou Yan , Yang Dong , Yang Qing-Cheng , Lv Xiao-Bin , Huang Wen-Tao , Zhou Zhenhua , Wang Ya-Ling , Zhang Zhichang , Yuan Ting , Ding Xiaomin , Tang Li-Na , Zhang Jian-Jun , Yin Jun-Yi , Huang Yu-Jing , Yu Wen-Xi , Wang Yong-Gang , Zhou Chen-Liang , Su Yang , He Ai-Na , Sun Yuan-Jue , Shen Zan , Qian Bin-Zhi , Chen Peizhan , Pan Xinghua , Yao Yang , Hu Hai-Yan 
Published: April 2020

ABSTRACTOsteosarcoma (OS) has high heterogeneity and poor prognosis. In order to explore the molecular mechanism of OS and the tumor micro-environment (TME) on OS, we employed single-cell RNA-sequencing (scRNA-seq) on 110,745 individual cells from OS primary lesion, recurrent focal and metastatic tissues. We identified 5 main malignant subpopulations of OS cells, 3 clusters of osteoclast(OC) and 2 types of cancer-associated fibroblasts (CAFs). Further we found that the progenitor OC and, antigen presenting CAF (apCAF) were lower in lung metastatic and recurrent tumor tissues than in primary tumor tissue. M2-like macrophages were predominant in the TME myeloid cells. Inactivation state of tumor-infiltrating T cells, mainly the CD4-/CD8-T and Treg cells, existed in lung metastatic tissues. T-cell immunoreceptor with Ig and ITIM domains (TIGIT) expressed in 11 samples. We then blocked TIGIT which significantly enhancd the cytotoxic effects of primary T cells on OS cell lines. Our report represents the first use of scRNA-seq for the transcriptomic profiling of OS cells. Thus, the findings in this study will serve as a valuable resource for deciphering the intra-tumoral heterogeneity in OS and provide potential therapeutic strategies for OS in clinic.
Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts
Authors: Quinn Jeffrey J. , Jones Matthew G. , Okimoto Ross A. , Nanjo Shigeki , Chan Michelle M. , Yosef Nir , Bivona Trever G. , Weissman Jonathan S. 
Published: April 2020

AbstractCancer progression is characterized by rare, transient events which are nonetheless highly consequential to disease etiology and mortality. Detailed cell phylogenies can recount the history and chronology of these critical events – including metastatic seeding. Here, we applied our Cas9-based lineage tracer to study the subclonal dynamics of metastasis in a lung cancer xenograft mouse model, revealing the underlying rates, routes, and drivers of metastasis. We report deeply resolved phylogenies for tens of thousands of metastatically disseminated cancer cells. We observe surprisingly diverse metastatic phenotypes, ranging from metastasis-incompetent to aggressive populations. These phenotypic distinctions result from pre-existing, heritable, and characteristic differences in gene expression, and we demonstrate that these differentially expressed genes can drive invasiveness. Furthermore, metastases transit via diverse, multidirectional tissue routes and seeding topologies. Our work demonstrates the power of tracing cancer progression at unprecedented resolution and scale.One Sentence SummarySingle-cell lineage tracing and RNA-seq capture diverse metastatic behaviors and drivers in lung cancer xenografts in mice.
Effect of liquid flow velocity on corrosion behavior of 20# steel at initial stage under gas-liquid two-phase plug flow condition
Authors: Yang Guirong , Song Wenming , Zhu Zibo , Ma Ying , Hao Yuan 
Published: April 2020

Purpose
The paper aims to study the effect of liquid flow velocity on corrosion behavior of 20# steel at initial stage under (CO2/aqueous solution) gas–liquid two-phase plug flow conditions.

Design/methodology/approach
Weight loss, scanning electron microscopy, energy-dispersive X-ray spectroscopy and XPS methods were used in this study.

Findings
The corrosion rate increased with the increasing liquid flow velocity at any different corrosion time. The corrosion rate decreased with the extension of corrosion time at the same liquid flow velocity. There was no continuous corrosion products film on the whole pipe wall at any different corrosion time. The macroscopic brown-yellow corrosion products on the pipe wall surface decreased with the increasing liquid flow velocity and the loose floccus corrosion products decreased gradually until these products were transformed into un-continuous needle-like dense products with the increasing liquid velocity. The main elements among the products film were Fe, C and O, and the main phases of products film on the pipe wall were Fe3C, FeCO3, FeOOH and Fe3O4. When the corrosion time was 1 h under different liquid–velocity condition, the thickness of local corrosion products film was from 3.5 to 3.8 µm.

Originality/value
The ion mass transfer model of corrosion process in pipe was put forward under gas–liquid two-phase plug flow condition. The total thickness of diffusion sublayer and turbulence sublayer decreased as well as the turbulence propagation coefficient increased with the increasing liquid velocity, which led to the increasing velocity of ion transfer during corrosion process. This was the fundamental reason for the increase of corrosion rate with the increasing liquid velocity.
Hello, I am calling to ask for some money: mobile phones and credit uptake in rural Ethiopia
Authors: Gebremariam Aregawi Gebremedhin 
Published: April 2020

PurposeIt is widely believed that ICT has a significant influence on the daily life of the poor and has positive spillover effects in their livelihoods. Mobile phones are one of the few ICT innovations that have found their way into the hands of the poor residing in remote and rural areas. In Ethiopia, mobile phones are recently introduced but got an acceptance from everyone including the rural poor; in five years’ time, mobile phones subscription has increased from less than 4% to more than 40%. Empirical evidence generally documents the positive role mobile phones play in facilitating the development efforts of poor households. However, using panel data from Ethiopia, the current paper explores a less investigated issue of the possible effects of mobile phone adoption on the credit uptakes of the rural poor who are mostly neglected from the formal credit markets but finance their credit demand from informal sources including relatives/friends.Design/methodology/approachTo investigate the relationship between mobile phones and credit uptake and/or loan size, one can use different empirical strategies. For partly unleashing the endogeneity problem, an instrumental variable estimation approach is adopted in this paper. To deal with the endogeneity problem, one may consider using the linear IV approach or the control function. But the outcome variable and the endogenous variable are binary in nature, and the usual trend is to use the linear IV models or control functions, which do not consider these binary natures of the variables. To this end, a special regressors estimator is adopted, mostly used when both the dependent and the endogenous variables are binary in nature.FindingsThe econometric results suggest mobile phones are positively associated with the credit uptake of rural households, especially credit uptake from informal sources. Households with mobile phones are found to have 4%–14% higher probabilities of credit uptake and about 6%–17% in the case of credit from informal sources. Besides, households with mobile phones are found to have about ETB 65 (USD 3.42) higher loan size and about ETB 78 (USD 4.11) higher amount of loan in the case of a loan from the informal sources. Thus, policy-makers and financial providers working on providing credit in rural areas need to exploit the use of mobile phones in reaching out to the rural poor.Originality/valueThe author attests the fact that the work described has not been published previously and that it is not under consideration for publication elsewhere. Besides, it is the original work of the author.
Measuring corporate reputation: a comprehensive model with enhanced objectivity
Authors: Baruah Loopamudra , Panda Nagari Mohan 
Published: April 2020

PurposeCorporate reputation (CR), the new buzz word has created many waves in the business world and thereby has become a topic of interest of many researchers. CR is often addressed as an intangible asset that brings with itself lots of advantages and benefits that may build the company and push it forward or may bring a company completely down. CR is a multidisciplinary concept generating parallel interpretations, and as a consequence, disagreements arise regarding its definition and its measurement techniques.Design/methodology/approachThis paper attempted to address this issue by bringing in more clarity to the concept and objectivity in its measurement. To address this issue a new comprehensive definition of CR is developed by reviewing the semi-centennial evolution of the construct. By bringing a critical analysis of the currently followed methods of measurement the paper has classified them into the five broad categories on the basis of the guiding definition, methodology and data sources, multiple stakeholders emphasised and the extent of objectivity inherent in the methodology. Establishing linkage between different concepts a model is developed for better understanding of the process of corporate reputation building.FindingsBased on the renewed understanding, a new method has been suggested for measuring corporate reputation from the perspective of multiple stakeholders.Originality/valueThis method is claimed to be superior as it is founded on a comprehensive meaning of the concept and designed to use easily available and accessible objective data.
A novel speech emotion recognition model using mean update of particle swarm and whale optimization-based deep belief network
Authors: B Rajasekhar , M Kamaraju , V Sumalatha 
Published: April 2020

PurposeNowadays, the speech emotion recognition (SER) model has enhanced as the main research topic in various fields including human–computer interaction as well as speech processing. Generally, it focuses on utilizing the models of machine learning for predicting the exact emotional status from speech. The advanced SER applications go successful in affective computing and human–computer interaction, which is making as the main component of computer system's next generation. This is because the natural human machine interface could grant the automatic service provisions, which need a better appreciation of user's emotional states.Design/methodology/approachThis paper implements a new SER model that incorporates both gender and emotion recognition. Certain features are extracted and subjected for classification of emotions. For this, this paper uses deep belief network DBN model.FindingsThrough the performance analysis, it is observed that the developed method attains high accuracy rate (for best case) when compared to other methods, and it is 1.02% superior to whale optimization algorithm (WOA), 0.32% better from firefly (FF), 23.45% superior to particle swarm optimization (PSO) and 23.41% superior to genetic algorithm (GA). In case of worst scenario, the mean update of particle swarm and whale optimization (MUPW) in terms of accuracy is 15.63, 15.98, 16.06% and 16.03% superior to WOA, FF, PSO and GA, respectively. Under the mean case, the performance of MUPW is high, and it is 16.67, 10.38, 22.30 and 22.47% better from existing methods like WOA, FF, PSO, as well as GA, respectively.Originality/valueThis paper presents a new model for SER that aids both gender and emotion recognition. For the classification purpose, DBN is used and the weight of DBN is used and this is the first work uses MUPW algorithm for finding the optimal weight of DBN model.
Staffing needs and utilization for alternative contracting methods in highway design and construction
Authors: Tran Dai Q. , Harper Christofer M. , Smadi Adi M. , Mohamed Mamdouh 
Published: April 2020

PurposeThis research investigates procedures and effective practices on staffing needs and utilization for successful implementation of alternative contracting methods (ACMs) in the United Sates, including design–build (D–B) and construction manager/general contractor (CM/GC) delivery methods.Design/methodology/approachThe review of published empirical studies, a national survey of transportation agencies and case studies of highway agencies form the basis of the conclusions in this research. In addition to the national survey, with 46 of 50 agencies participating, the research presents case studies from five highway agencies in the United States including the following: California, Florida, Georgia, Minnesota and Virginia. These five case studies were selected from agencies that have extensive experience in delivering ACM projects. The case studies involved a thorough procedural review and structured interviews of agency personnel. The agencies then validated the results and conclusions.FindingsThe results showed that implementing ACM projects requires different knowledge, skills and management and coordination efforts than traditional design–bid–build (D–B–B) projects. The study found that the key success factors of implementing ACMs are the following: (1) establishment of an ACM champion; (2) active involvement of key staff throughout the ACM project development process; (3) appropriate use of consultants and (4) ACM training and staff development.Research limitations/implicationsThe issue on how to attract and retain talented staff and a committed core workforce with appropriate skills and competences for ACM implementation is vital for highway agencies, but it lacks information and guidance. The chief limitation of this research is that the primary data were collected from highway agencies in the United Sates. Any future research should include more data to enhance the validity of this study outside of the public transportation sector.Practical implicationsDeveloping a sustainable level of core staff plays an important role in implementing an ACM program. The result of this research will help transportation agencies and other public owners to develop effective staffing strategies for successful implementation of ACMs. The findings of this research also address the appropriate use of consultants to supplement core staff with regard to delivery of ACM projects.Originality/valueThis research is the first attempt to examine the staffing needs and utilization for ACM projects.
Optimizing time–cost in generalized construction projects using multiple-objective social group optimization and multi-criteria decision-making methods
Authors: Tran Duc Hoc 
Published: April 2020

PurposeProject managers work to ensure successful project completion within the shortest period and at the lowest cost. One of the main tasks of a project manager in the planning phase is to generate the project time–cost curve, and furthermore, to determine the most appropriate schedule for the construction process. Numerous existing time–cost tradeoff analysis models have focused on solving a simple project representation without regarding for typical activity and project characteristics. This study aims to present a novel approach called “multiple-objective social group optimization” (MOSGO) for optimizing time–cost decisions in generalized construction projects.Design/methodology/approachIn this paper, a novel MOGSO to mimic the time–cost tradeoff problem in generalized construction projects is proposed. The MOSGO has slightly modified the mechanism operation from the original algorithm to be a free-parameter algorithm and to enhance the exploring and exploiting balance in an optimization algorithm. The evidential reasoning technique is used to rank the global optimal obtained non-dominated solutions to help decision makers reach a single compromise solution.FindingsTwo case studies of real construction projects were investigated and the performance of MOSGO was compared to those of widely considered multiple-objective evolutionary algorithms. The comparison results indicated that the MOSGO approach is a powerful, efficient and effective tool in finding the time–cost curve. In addition, the multi-criteria decision-making approaches were applied to identify the best schedule for project implementation.Research limitations/implicationsAccordingly, the first major practical contribution of the present research is that it provides a tool for handling real-world construction projects by considering all types of construction project. The second important implication of this study derives from research finding on the hybridization multiple-objective and multi-criteria techniques to help project managers in facilitating the time–cost tradeoff (TCT) problems easily. The third implication stems from the wide-range application of the proposed model TCT.Practical implicationsThe model can be used in early stages of the construction process to help project managers in selecting an appropriate plan for whole project lifecycle.Social implicationsThe proposal model can be applied to multi-objective contexts in diversified fields. Moreover, the model is also a useful reference for future research.Originality/valueThis paper makes contributions to extant literature by: introducing a method for making TCT models applicable to actual projects by considering general activity precedence relations; developing a novel MOSGO algorithm to solving TCT problems in multi-objective context by a single simulation; and facilitating the TCT problems to project managers by using multi-criteria decision-making approaches.
Gaston Acurio: innovación de modelo de negocio y creación de una marca gastronómica peruana
Authors: Ontaneda Elizabeth , Quiroga Guillermo 
Published: April 2020

Learning outcomes
Identificar el tipo de innovación que ha generado la propuesta de Gastón Acurio. Ya que si bien desarrolla productos nuevos su principal innovación es en el modelo de negocio. Comprender las principales estrategias desarrolladas para el crecimiento y consolidación de la comida peruana como categoría a nivel mundial y del grupo Acurio. Identificar los elementos de un modelo de negocio usando un Business Model Canvas. Explicar cómo los elementos de un modelo de negocio se relacionan y refuerzan entre sí y cómo son driver de buen desempeño. Evaluar las fortalezas, oportunidades, debilidades y amenazas a un modelo de negocio. Analizar los cambios al modelo que podrían capitalizar o mitigar estos factores, sustentado con evidencia.

Case overview/synopsis
Gastón Acurio es un exitoso chef y empresario Peruano que ha sido clave en la formación de la industria gastronómica nacional. Se distingue de otros empresarios del rubro por su innovador modelo de negocio que le ha permitido crecer y aprovechar nuevas oportunidades a nivel local como internacional. Su éxito y crecimiento atrajeron US $52 millones en capital de dos fondos de inversión. Sin embargo, los desafíos del modelo quedan en evidencia durante una difícil apertura de un local en el extranjero exacerbado por una dura crítica del New York Times. Los estudiantes deben identificar y analizar los elementos clave del modelo de negocio desarrollado por Acurio para evaluar y proponer cambios que podrían mejor aprovechar sus fortalezas y oportunidades, así como mitigar sus debilidades y amenazas.

Complexity academic level
Maestría o MBA

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 12: Tourism and Hospitality.
In the eye of the beholder
Authors: Sharifi Shahin , Spassova Gerri 
Published: April 2020

Purpose
The purpose of this paper is to investigate the effect of interdependent vs independent self-construal on service satisfaction, following the observation of failure and recovery experienced by a fellow customer.

Design/methodology/approach
Three experiments were conducted to test the research hypotheses.

Findings
After service failure, interdependent observers react less favorably compared to independent observers. After high recovery compensation, interdependent observers react more favorably compared to independent observers. The effects are driven by differences in perceived interactional and distributive justice.

Research limitations/implications
This study uses three scenario-based experiments to test the hypotheses. While providing greater control of the experimental conditions, the external validity of the results is to some extent sacrificed. Moreover, this research does not investigate observers’ reactions to the interactional aspect of recovery.

Practical implications
When handling service failure, firms are required to anticipate and address not only the responses of the target customers involved but also those of potential observers. Providers can accordingly use available customer information to gauge customers’ likely self-construal and to adjust their service delivery and recovery tactics. Providers can influence observing customers’ reactions by creating a servicescape that activates a desired self-construal.

Originality/value
This research is one of a few to examine the effect of service failure and recovery on observing customers, and the first to do so via the lens of self-construal. It contributes to the literature on service failure and recovery and the literature on self-construal and has practical implications for service providers. The value of this research is further highlighted given the increasingly public nature of services and the multicultural context of service delivery.