bluuebunny/crossref_metadata_2025_split huggingface dataset:
Branded retailer expansion on a continent-sized emerging market
Authors: Gomes Renata Maria , Carneiro Jorge , Dib Luis Antonio 
Published: October 2018

Purpose
The purpose of this paper is to identify patterns for the intra-market expansion of international branded retailers on a continent-sized emerging market using the network approach.

Design/methodology/approach
A multiple-case study design of four foreign branded retailers that have expanded onto regional markets in Brazil is used.

Findings
The intra-market expansion process shares similarities with the cross-market expansion process; is influenced by the relationships of foreign branded retailers with local competitors and shopping mall firms; and market selection, mode of operation and store location decisions are interrelated and conjointly taken, instead of forming a three-stage process. Additionally, the importance of relationships with host market shopping malls firms is highlighted.

Research limitations/implications
This paper advances a conceptual model of the intra-market expansion process, which comprises a system of interrelated decisions – (regional) market selection, mode of operation and store location – influenced by several network effects.

Practical implications
Managers of foreign branded retail suffer from liability of foreignness when undertaking intra-market expansion. Although Brazil is a large market, the retail community is highly connected because of managers’ personal relationships. Brazilian shopping malls dominate suitable store locations, and represent a valuable source of knowledge and resources for the foreign branded retailer.

Originality/value
This paper addresses two under-researched aspects of international retail: branded retailers – manufacturers that develop brands and operate stores – and intra-market expansion (i.e. to geographic regions of a given foreign country). It also discusses the challenges of intra-market expansion in continent-sized emerging markets, with considerable regional diversity (culture, infrastructure and institutions).
Validity and reliability of rating scales for subjective breathing resistance of wearing respirators
Authors: Chen Yumiao , Yang Zhongliang 
Published: October 2018

Purpose
Investigating the subjective breathing resistance of wearing respirators requires a valid and reliable technique to measure breathing resistance. The purpose of this study is to test the validity and reliability of several rating scales and select the best for investigation of breathing resistance.

Design/methodology/approach
The authors designed three scales, that is, BRX scale, CP-100 scale and RVAS scale, and 30 subjects were separated into three groups, each group with a different scale. They sat for 5 min and walked for 5 min while wearing three models of respirators. After each trial, subjects were asked to complete subjective ratings of breathing resistance. Reliability was examined by the coefficient of Cronbach’s α, and validity was examined through content validity, discriminant validity and criterion validity. Generally, subjects were capable of reporting their sensation of breathing resistance by using the rating scale technique. However, the accuracy of rating strongly depended upon the properties of the scale.

Findings
The CP-100 scale was found to be highly reliable and most valid for rating subjective breath resistance. The validated CP-100 scale is very sensitive and accurate.

Originality/value
This is the first paper to select the best subjective scale for investigation of breathing resistance of respirators. The CP-100 scale will find wide applications in subjective breathing resistance evaluation for the use of respirators in industrial benchmarking activities. It will introduce the human factor engineering into the respirator manufacturing to improve the comfort of respirators.
Influence of the cutting condition on the wear and the surface roughness in the steel AISI 4140 with mixed ceramic and diamond tool
Authors: Aouad Razika , Amara Idriss 
Published: October 2018

PurposeThe purpose of this paper is to study the influence of the cutting conditions (cutting speed, feed rate and cutting depth) on the roughness (Ra) and on the flank wear (Vb) of the steel AISI 4140.Design/methodology/approachMixed ceramic (CC650) and polycrystalline cubic boron nitride (PCBN) have been used to carry out straight turning tests under dry conditions.FindingsThe results indicate that PCBN is more efficient than mixed ceramic (Al2O3+TiC) used in terms of wear resistance regardless of the aggressiveness of the AISI 4140 at 50 hardness rockwell (HRC). Consequently, it is the most powerful. Surface quality attained with PCBN tool considerably compares with that of grinding. Even when the tool wear VB reached 0.3 mm, the majority of the recorded Ra values did not exceed 1 m at the various speeds tested. The correlation of tool wear Vb and surface roughness Ra established allows obtaining experimental empirical data on the cutting tool wear from measured surface roughness for practical use in industry. The values of constants and the coefficient of determinationR2of this mathematical model will be calculated. Mathematical models expressing the relation between the elements of the cutting regime and technological parameters (tool life and roughness) are proposed.Originality/valueMany works have been already made in the similar manner, but this study of CC650 and PCBN wear is the first. Through this study, we propose a mathematical model expressing the relation between the elements of the cutting regime, tool life and roughness.
Commercial sexual exploitation of children: victim characteristics
Authors: Klimley Kristin Elizabeth , Carpinteri Alexis , Benson Brandy , Van Hasselt Vincent B. , Black Ryan A. 
Published: October 2018

Purpose
The commercialized sexual exploitation of children (CSEC), specifically child trafficking, prostitution, pornography, and enticement, has become a burgeoning topic over the past several decades. The purpose of this paper is to determine the characteristics of those victims who were at risk for sex trafficking, prostitution, pornography, and traveling/enticement.

Design/methodology/approach
This observational, survey design includes a records review of 18 victims who were identified by the FBI Miami Field Office. Case illustrations are provided for a more in-depth analysis of CSEC victims.

Findings
The results of this paper indicated that hands-on sexual abuse and child prostitution were the most common CSEC offenses that victims experienced. Additionally, Caucasian females, between 13 and 18 years of age, were often victimized. Victims more frequently experienced web forms of sexual abuse and engaged in risky sexual behaviors outside of the victimization. Further, the majority of victims in the sample came from a low socioeconomic background and lived in a single-parent home.

Practical implications
The current results, combined with prior research, may aid law enforcement, mental health, and medical professionals in understanding potential characteristics correlated with various forms of CSEC offenses.

Originality/value
To the authors’ knowledge, this is one of the first descriptive studies involving case illustrations of CSEC victims.
I think you can: transpersonal efficacy in teams
Authors: Dubrow Samantha , Emich Kyle J. , Behrend Tara S. 
Published: October 2018

PurposeThe purpose of this paper is to expand the nomological network of a relational efficacy construct, transpersonal efficacy, and examine its effect on attitudes and behaviors important for team performance. The authors identify several antecedents to transpersonal efficacy, including task interdependence, agreeableness and conscientiousness. The authors also find that transpersonal efficacy is related to relational attitudes and behaviors in teams.Design/methodology/approachThis study consists of an online cross-sectional survey completed by participants representing a wide range of occupations, team types, contexts and industries. Participants reported on their working relationships with team members and various behavioral outcomes. Participants used the Occupational Information Network (O*NET) to describe their teammates’ job requirements and to evaluate each teammate’s ability to complete required tasks. Confirmatory factor analysis and structural equation modeling were used to test hypotheses.FindingsFindings suggest that people in highly interdependent teams have more confidence in their teammates. Further, transpersonal efficacy predicts relationship, task and process conflict when controlling for team task interdependence and virtualness, along with individual differences including agreeableness and conscientiousness. Transpersonal efficacy also contributes to the prediction of relationship conflict beyond the explained variance of collective efficacy.Originality/valueThis paper contributes to our understanding of individuals in teams by using social cognitive theory, expectancy theory and uncertainty reduction theory as a base for predicting the value of transpersonal efficacy in driving relational team behaviors. The authors uniquely consider efficacy as an interpersonal construct that is related to individual behaviors and attitudes that target specific teammates, rather than the team as a whole.
Technological innovation and socioemotional wealth in family firm research
Authors: Martínez-Alonso Rubén , Martínez-Romero María J. , Rojo-Ramírez Alfonso A. 
Published: October 2018

Purpose
There are currently two issues that generate growing interest among specialized scholars within the family business field: technological innovation (TI) and socioemotional wealth (SEW). While it is true that both topics are highly popular among researchers, the joint study of both perspectives is scarce. Thus, the purpose of this paper is to analyse the interrelationships between TI and SEW in the context of family firms.

Design/methodology/approach
This literature review systematically analyses the findings of 25 journal articles focusing on TI and SEW, published between 2012 and 2018.

Findings
The findings reveal an integrative approach, identifying different variables that relate TI and SEW. A conceptual framework is built in which these variables are incorporated into four categories (SEW, TI, moderating effects and performance). New lines of research emerge with the development of a conceptual model and the formulation of six propositions.

Practical implications
The conceptual framework can be useful as integrative summary of the factors that family business managers and directors should take into account to be successful in implementing innovative projects and strategies.

Originality/value
The study of TI from the SEW approach has emerged as a fruitful field of research in recent years, but the current knowledge of the role that SEW plays in family firms’ TI is still scarce. This paper contributes to the family business literature by offering a conceptual framework of the SEW–TI relationship and new research avenues that will provide a better comprehension for scholars and specialists for future investigations in the field.
How crucial is the social responsibility for tourism sustainability?
Authors: Paskova Martina , Zelenka Josef 
Published: October 2018

Purpose
The paper aims to analyse the social responsibility concept and to explore its role in the implementation process of the tourism sustainability concept. The intention is to explore the way in which the social responsibility concept is implemented in the tourism and analyse how it contributes to its sustainability.

Design/methodology/approach
In this interpretivist research, the authors implemented a qualitative strategy using the following methods: content, critical and comparative analyses of the results reported in available scientific studies, categorization, causal analysis and mental mapping. The authors identified 14 thematic categories of research on the tourism social responsibility. For the causal description, the authors used driving force, pressure, state, impact, response (DPSIR) method.

Findings
The results include identification of the categories of the research topics concerning tourism social responsibility as well as categories of the approaches to the implementation of the social responsibility into the practice of the tourism sector. The causal description of this implementation process is elaborated in the form of the DPSIR model. The created mental map shows the specific facets of the social responsibility concept applied to the diverse tourism subsectors.

Originality value
The main contribution lies in basic overview of the conceptual (theoretical) and instrumental (practical) base for implementation of the social responsibility concept into the tourism, providing in this way a critical analysis of examples of the social responsibility practice in the key tourism subsectors. The examination of the causal analyses in the form of DPSIR model as well as employment of the content analyses in the form of mental map represent innovative approach to the tourism responsibility research.
A new fluid factor and its application using a deep learning approach
Authors: Liu Changcheng , Ghosh Deva Prasad , Salim Ahmed Mohamed Ahmed , Chow Weng Sum 
Published: October 2018

ABSTRACTAmplitude interpretation for hydrocarbon prediction is an important task in the oil and gas industry. Seismic amplitude is dominated by porosity, the volume of clay, pore‐filled fluid type and lithology. A few seismic attributes are proposed to predict the existence of hydrocarbon. This paper proposes a new fluid factor by adding a correct item based on the J attribute. The algorithm is verified through stochastic Monte Carlo modelling that contains various rock physical properties of sand and shale. Both gas and oil responses are separated by the new fluid factor. Furthermore, an approach based on the neural network model is trained using the deep learning method to predict the new fluid factor. The confusion matrix shows that this model performs well. This model allows the application of the new fluid factor in the seismic data. In this study, the Marmousi II data set is used to examine the performance of the new fluid factor, and the result is good. Most hydrocarbon reservoirs are identified in the shale–sandstone sequences. The combination of deep learning and the new fluid factor provides a more accurate way for hydrocarbon prediction.
Loans from English provincial towns to the crown during the reigns of Edward II and Edward III*
Authors: McCallum Robin 
Published: October 2018

Abstract
This article examines the origins and evolution of the English crown's policy of requesting loans from towns to finance military campaigns between 1307 and 1377. By analysing the exchequer receipt rolls, it illustrates how Edward II experimented with urban loans from 1311 to circumvent the restrictions imposed by the ordinances. It subsequently examines when and why urban loans became a regular policy; how they were negotiated, collected and reimbursed; and why towns and their inhabitants contributed credit. Although they were of marginal financial value, these loans transformed the political relationship between the crown and towns in the later middle ages.
The doctrine of the Sabbath in the Edwardian Reformation*
Authors: Tong Stephen 
Published: October 2018

Abstract
This article charts the development and impact of the doctrine of the Sabbath within the thought and practice of mid Tudor evangelicals. Differing opinions about the application of the Sabbath during the Edwardian Reformation exposed competing concepts of the Church, which had practical ramifications for public worship. Although the doctrine has been given ample attention in studies focusing on the rise of puritanism, its significance during the Edwardian Reformation has been neglected. This article offers a fresh perspective on the topic and challenges long-held assumptions about attitudes toward the Sabbath throughout the English Reformation.
The Quest for Water, Rights and Freedoms: Informal Urban Settlements in India
Authors: Gimelli Francesco M. , Rogers Briony C. , Bos Joannette J. 
Published: October 2018

AbstractIn this article, we draw on the narratives of residents and development workers to understand what freedoms hinder and enable access to water services in informal settlements in the Indian cities of Faridabad, Delhi and Mumbai. We show that although development practice and thinking in the water sector often frame water deficiencies as politically neutral technical and governance challenges, residents and development workers on the ground identify a lack of freedoms relating to first of all, residents’ rights to the city and its resources, and secondly, meaningful engagement between residents and the political establishment as key causes for inadequate access to water services. Our findings indicate that water‐service development efforts can be more effective if they include strategies to strengthen informal settlers’ rights to the city through a politicization of public engagement. We discuss the implications of our findings for practice and outline a future research agenda geared towards operationalizing our key findings.
Estimating effective detection area of static passive acoustic data loggers from playback experiments with cetacean vocalisations
Authors: Nuuttila Hanna K. , Brundiers Katharina , Dähne Michael , Koblitz Jens C. , Thomas Len , Courtene‐Jones Winnie , Evans Peter G. H. , Turner John R. , Bennell Jim D. , Hiddink Jan G. 
Published: October 2018

AbstractPassive acoustic monitoring (PAM) is used for many vocal species. However, few studies have quantified the fraction of vocalisations captured, and how animal distance and sound source level affect detection probability. Quantifying the detection probability or effective detection area (EDA) of a recorder is a prerequisite for designing and implementing monitoring studies, and essential for estimating absolute density and abundance fromPAMdata.We tested the detector performance of cetacean click loggers (C‐PODs) using artificial and recorded harbour porpoise clicks played at a range of distances and source levels. Detection rate of individual clicks and click sequences (or click trains) was calculated. A Generalised Additive Model (GAM) was used to create a detection function and estimate the effective detection radius (EDR) andEDAfor both types of signals.Source level and distance from logger influenced the detection probability. Whilst differences between loggers were evident, detectability was influenced more by the deployment site than within‐logger variability. Maximum distance for detecting real recorded porpoise clicks was 566 m. MeanEDRfor artificial signals with source level 176dBre 1 μPa @ 1m was 187 m., and for a recorded vocalisation with source level up to 182dBre 1 μPa was 188 m. For detections classified as harbour porpoise click sequences the meanEDRwas 72 m.The analytical methods presented are a valid technique for estimating theEDAof any logger used in abundance estimates. We present a practical way to obtain data with a cetacean click logger, with the caveat that artificial playbacks cannot mimic real animal behaviour and are at best able to account for some of the variability in detections between sites, removing logger and propagation effects so that what remains is density and behavioural differences. If calibrated against real‐worldEDAs (e.g., from tagged animals) it is possible to estimate site‐specific detection area and absolute density. We highlight the importance of accounting for both biological and environmental factors affecting vocalisations so that accurate estimates of detection area can be determined, and effective monitoring regimes implemented.
Unsupervised Deep Single‐Image Intrinsic Decomposition using Illumination‐Varying Image Sequences
Authors: Lettry L. , Vanhoey K. , Van Gool L. 
Published: October 2018

AbstractMachine learning based Single Image Intrinsic Decomposition (SIID) methods decompose a captured scene into its albedo and shading images by using the knowledge of a large set of known and realistic ground truth decompositions. Collecting and annotating such a dataset is an approach that cannot scale to sufficient variety and realism. We free ourselves from this limitation by training on unannotated images.Our method leverages the observation that two images of the same scene but with different lighting provide useful information on their intrinsic properties: by definition, albedo is invariant to lighting conditions, and cross‐combining the estimated albedo of a first image with the estimated shading of a second one should lead back to the second one's input image. We transcribe this relationship into a siamese training scheme for a deep convolutional neural network that decomposes a single image into albedo and shading. The siamese setting allows us to introduce a new loss function including such cross‐combinations, and to train solely on (time‐lapse) images, discarding the need for any ground truth annotations.As a result, our method has the good properties of i) taking advantage of the time‐varying information of image sequences in the (pre‐computed) training step, ii) not requiring ground truth data to train on, and iii) being able to decompose single images of unseen scenes at runtime. To demonstrate and evaluate our work, we additionally propose a new rendered dataset containing illumination‐varying scenes and a set of quantitative metrics to evaluate SIID algorithms. Despite its unsupervised nature, our results compete with state of the art methods, including supervised and non data‐driven methods.
Clinicopathologic, immunophenotypic, and molecular analysis of subcutaneous panniculitis‐like T‐cell lymphoma: A retrospective study in a tertiary care center
Authors: Rutnin Suthinee , Porntharukcharoen Saneerat , Boonsakan Paisarn 
Published: October 2018

BackgroundSubcutaneous panniculitis‐like T‐cell lymphoma (SPTL) as strictly defined by World Health Organization‐European Organization for Research and Treatment of Cancer classification is a rare cytotoxic α/β T‐cell lymphoma, characterized by primary involvement of subcutaneous tissue mimicking panniculitis.ObjectivesTo describe the clinicopathologic, immunophenotypic, and molecular features of SPTL.MethodsA 10‐year retrospective study of 18 patients diagnosed with SPTL was thoroughly reviewed according to clinicopathology, immunophenotype, and T‐cell receptor (TCR) gene rearrangement.ResultsOf the 18 patients, 16 patients were definitely diagnosed with SPTL. The median age was 26 years (ranged 14‐53 years) with female predominance. Most patients presented with prolonged fever and subcutaneous nodules and/or plaques, usually located on lower extremities. 37.5% of patients had hemophagocytic syndrome. The main histopathology was lobular panniculitis with rimming of atypical lymphocytes highlighted by CD3+, CD8+, Beta‐F1+, granzyme B+, and Ki‐67 (50%‐90%). Monoclonal TCR gene rearrangement was found in 50% of patients and upper extremities involvement indicated a poor prognosis.ConclusionThe correlation between clinicopathologic and immunophenotypic study is the most helpful method to give a precise diagnosis of SPTL. Rimming of CD8+ atypical lymphocytes highlighted by high Ki‐67 index is highly specific for the diagnosis of SPTL.