bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring returns management orientation
Authors: Chen Haozhe , Anselmi Kenneth , Falasca Mauro , Tian Yu 
Published: May 2017

PurposeThe field of returns management has become an important supply chain management topic. The purpose of this paper is to develop a conceptualization of returns management orientation (RMO), a topic that has been largely ignored by the academic community.Design/methodology/approachA series of interviews with experts and a review of the literature were used to develop the construct. Empirical survey data were used to validate the proposed RMO measurement scale.FindingsStatistical results support the validity and reliability of the new RMO construct. Different analyses show that the proposed conceptualization satisfies the criteria of the tests for unidimensionality, construct validity, internal consistency reliability, and nomological validity. Furthermore, the results of this study confirm the positive relationship between a firm’s RMO and returns management performance.Research limitations/implicationsThe present study provides a starting-point for further empirical research on returns management from a behavioral perspective.Practical implicationsRMO has a significant impact on returns management performance. The proposed RMO measurement scale provides a useful tool for companies to evaluate their management’s emphasis or recognition of the returns management function.Originality/valueWhile the field of returns management has gained increased attention from both academics and practitioners, empirical research efforts on this topic are still limited. In order to address this issue, this study takes a behavioral perspective and follows a well-established approach to operationalize the construct of RMO.
World class sustainable supply chain management: critical review and further research directions
Authors: Dubey Rameshwar , Gunasekaran Angappa , Childe Stephen J. , Papadopoulos Thanos , Fosso Wamba Samuel 
Published: May 2017

PurposeSustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework, and suggest further research directions.Design/methodology/approachIn the paper the authors have undertaken an extensive review of literature and classified articles using a novel classification scheme.FindingsThrough the extensive review and identification of research gaps, the paper identifies significant differences between definitions and methodologies in the SSCM literature; and argues for “WCSSCM.” This term is elaborated on via a theoretical framework in which 18 dimensions are classified under six constructs of SSCM. Furthermore, a list of potential research directions for WCSSCM is discussed.Research limitations/implicationsThe research is an attempt to critically review literature, argue for WCSSCM, and develop a theoretical framework.Originality/valueThe paper offers a new approach to SSCM literature, arguing for WCSSCM through a framework, and providing further research directions.
Exploring determinants of internationalisation: the case of late starters
Authors: Köhr Christopher Karl , Malorgio Giulio , Aragrande Maurizio 
Published: May 2017

PurposeThe purpose of this paper is to explore the determinants of internationalisation among late starters in the wine sector. Strategic implications for small and medium enterprises (SMEs) in a young wine producing region are derived based on the findings.Design/methodology/approachData were collected through a quantitative survey among 38 wineries that are engaged in export activity in the Romagna wine producing area (Italy). Both multivariate analysis of cardinal company data through multiple and fractional regression models as well as nonparametric analysis of Likert-type survey elements were carried out.FindingsThe study identifies several determinants that affect the export intensity of businesses in the sample: Resources within the business turn out to be important, as well as the choice of distribution partners. Characteristics of exported goods were found to differ on comparing intra- and extra-EU exports.Practical implicationsCompetitiveness in the international marketplace is closely linked to the product quality, distribution network and productivity of a firm. Regional networks can help businesses to develop these factors, overcome export barriers and strengthen the competitiveness of a region as a whole.Originality/valueThis study investigated the determinants of internationalisation in a wine producing region which is considered a late starter of internationalisation in the wine industry and it is the first one spotlighting on a regional firm-level in the Italian wine industry.
Kudos: bringing your publications to life?
Authors: Williams Ann E. 
Published: May 2017

Purpose
The purpose of this article is to provide an overview and evaluation of Kudos, a web-based platform that aims to increase the visibility, reach, and impact of published scholarly works.

Design/methodology/approach
The review chronicles the rise of Kudos and describes the platform’s functionalities and use capabilities.

Findings
The findings detail the strengths and limitations of Kudos and point toward avenues for continued research and development.

Originality/value
This is the first review to provide a substantive evaluation of Kudos for academics to consider when adopting, utilizing and researching the platform.
Antecedents of customer aggressive behavior against healthcare employees
Authors: Gur Amit , Tzafrir Shay S. , Zatzick Christopher D. , L. Dolan Simon , Iverson Roderick 
Published: May 2017

Purpose
The purpose of the research was to develop a tool for measuring antecedents of customer aggressive behavior (CAB) in healthcare service settings, by identifying its roots in organizational and interpersonal dynamics.

Design/methodology/approach
Four studies were conducted. In Studies 1 and 2, antecedents of CAB were identified through analysis of internet reader comments and a questionnaire was distributed to students. In Study 3, scenarios were used to validate the findings of the previous studies. Finally, in Study 4, a scale was developed and validated for measuring organization- and person-related triggers of CAB using samples of 477 employees and 579 customers.

Findings
The concept of CAB was conceptualized and validated. In total, 18 items were identified across five dimensions: personal characteristics, uncomfortable environment, aggressive role models, reinforcement of aggressive behavior and aversive treatment. The scale demonstrated good psychometric results.

Research limitations/implications
The research relies mainly on customer perspective. Employees and additional stakeholders should be included to achieve more accurate information that could contribute to a better understanding of CAB and its roots.

Practical implications
Exploring social and organizational antecedents that trigger CAB could help healthcare managers evaluate and proactively manage CAB and its implications within their organization.

Originality/value
This measurement scale is the first comprehensive tool, based on Bandura’s social learning theory (1973), that may identify and measure antecedents of CAB, and could be used to reduce CAB in healthcare service settings.
Transfer and Distribution of Gunshot Residue through Glass Windows
Authors: Greely Dana , Weber Emily 
Published: May 2017

AbstractResearch into the deposition patterns of primer gunshot residue (GSR) beyond a primary target was previously nonexistent. This study aimed to determine the deposition patterns ofGSRonce a bullet passed through an initial target and continued on its path into additional targets. Multiple repetitions were performed to assess theGSRdeposition patterns after a bullet was shot through a closed window into either a dummy or a wall within an enclosed room. Samples were taken from both the primary and secondary target holes as well as from nontarget areas. Significant amounts ofGSRwere found on all samples. The results show thatGSRcontinues to be deposited along the path of the bullet after passing through a primary glass target. These findings reiterate the lack of probative value in collectingGSRsamples from gunshot victims even if they are in an enclosed area separate from the shooter.
National epidemiological study reveals longer paediatric bone and joint infection stays for infants and in general hospitals
Authors: Laurent E , Petit L , Maakaroun‐Vermesse Z , Bernard L , Odent T , Grammatico‐Guillon L 
Published: May 2017

AbstractAimPublished studies have suggested that two to five days of intravenous treatment could effectively treat paediatric bone and joint infections (PBJI), allowing a faster discharge. This study analysed the factors associated with PBJI hospital stays lasting longer than five days using the French National Hospital Discharge Database.MethodsWe selected children under 15 years hospitalised in 2013 with haematogenous PBJIs using a validated French algorithm based on specific diagnosis and surgical procedure codes. Risk factors for stays of more than five days were analysed using logistic regression.ResultsIn 2013, 2717 children were hospitalised for PBJI, with 49% staying more than five days. The overall incidence of 22 per 100 000, was highest in males and toddlers. The main causes were septic arthritis (50%) and osteomyelitis (46%) and 50% of the pathogens were Staphylococci. The odd ratios for stays of five days or more were infancy, coded bacteria and sickle cell disease (7.0), having spondylodiscitis rather than septic arthritis (2.2) and being hospitalised in a general hospital rather than a teaching hospital (1.6).ConclusionHalf of the hospital stays exceeded five days, despite scientific evidence supporting a shorter intravenous antibiotherapy regimen. Greater knowledge and widespread use of short treatment regimens are needed.
Misbalance in type III collagen formation/degradation as a novel serological biomarker for penetrating (Montreal B3) Crohn's disease
Authors: van Haaften W. T. , Mortensen J. H. , Karsdal M. A. , Bay‐Jensen A. C. , Dijkstra G. , Olinga P. 
Published: May 2017

SummaryBackgroundMisbalances in extracellular matrix turnover are key factors in the development of stricturing (Montreal B2) and penetrating (Montreal B3) Crohn's disease.AimTo determine whether serological markers for collagen formation and degradation could serve as biomarkers for complications of Crohn's disease.MethodsSerum biomarkers for type I, III, V and VI collagen formation (P1NP, Pro‐C3, Pro‐C5, Pro‐C6) and matrix metalloproteinase mediated degradation (C1M, C3M, C5M and C6M) were measured in a retrospective, single centre cohort of 112 patients with Crohn's disease in the terminal ileum (nonstricturing/nonpenetrating: n=40, stricturing: n=55, penetrating: n=17) and 24 healthy controls. Active inflammation was defined as CRP >5 mg/L.ResultsC3M and Pro‐C5 levels were higher in penetrating vs nonpenetrating/nonstricturing and stricturing disease (33.6±5 vs 25.8±2.2 [P=.004] and 27.2±2.3 [P=.018] nmol/L C3M, 1262.7±259.4 vs 902.9±109.9 [P=.005] and 953.0±106.4 [P=.015] nmol/L Pro‐C5). C1M (71.2±26.1 vs 46.2±6.2 nmol/L [P<.001]), C3M (31.6±3.9 vs 26.1±1.6 nmol/L [P=.002] and Pro‐C5 levels (1171.7±171.5 vs 909.6±80.4 nmol/L [P=.002]) were higher in patients with active inflammation vs without active inflammation. Pro‐C3/C3M‐ratios were best to differentiate between penetrating vs nonstricturing/nonpenetrating and stricturing disease with area under the curves of 0.815±0.109 (P<.001) and 0.746±0.114 (P=.002) respectively.ConclusionsSerological biomarkers show that penetrating Crohn's disease is characterised by increased matrix metalloproteinase‐9 degraded type III collagen and formation of type V collagen. Active inflammation in Crohn's disease is characterised by increased formation of type V collagen and increased matrix metalloproteinase mediated breakdown of type I, III collagen. Pro‐C3/C3M ratios are superior in differentiating between penetrating Crohn's disease vs inflammatory and stricturing Crohn's disease.
Infliximab and adalimumab drug levels in Crohn's disease: contrasting associations with disease activity and influencing factors
Authors: Ward M. G. , Warner B. , Unsworth N. , Chuah S.‐W. , Brownclarke C. , Shieh S. , Parkes M. , Sanderson J. D. , Arkir Z. , Reynolds J. , Gibson P. R. , Irving P. M. 
Published: May 2017

SummaryBackgroundDiscriminative drug level thresholds for disease activity endpoints in patients with Crohn's disease. have been consistently demonstrated with infliximab, but not adalimumab.AimsTo identify threshold concentrations for infliximab and adalimumab in Crohn's disease according to different disease endpoints, and factors that influence drug levels.MethodsWe performed a cross‐sectional service evaluation of patients receiving maintenance infliximab or adalimumab for Crohn's disease. Serum drug levels were at trough for infliximab and at any time point for adalimumab. Endpoints included Harvey‐Bradshaw index, C‐reactive protein and faecal calprotectin. 6‐tioguanine nucleotide (TGN) concentrations were measured in patients treated with thiopurines.ResultsA total of 191 patients (96 infliximab, 95 adalimumab) were included. Differences in infliximab levels were observed for clinical (P=.081) and biochemical remission (P=.003) and faecal calprotectin normalisation (P<.0001) with corresponding thresholds identified on ROC analysis of 1.5, 3.4 and 5.7 μg/mL. Adalimumab levels were similar between active disease and remission regardless of the endpoint assessed. Modelling identified that higher infliximab dose, body mass index and colonic disease independently accounted for 31% of the variation in infliximab levels, and weekly dosing, albumin and weight accounted for 23% of variation in adalimumab levels. TGN levels did not correlate with drug levels.ConclusionsInfliximab drug levels are associated with the depth of response/remission in patients with Crohn's disease, but no such relationship was observed for adalimumab. More data are needed to explain the variation in drug levels.
The Pig‐a Gene Mutation Assay in Mice and Human Cells: A Review
Authors: Olsen Ann‐Karin , Dertinger Stephen D. , Krüger Christopher T. , Eide Dag M. , Instanes Christine , Brunborg Gunnar , Hartwig Andrea , Graupner Anne 
Published: May 2017

AbstractThis MiniReview describes the principle of mutation assays based on the endogenous Pig‐a gene and summarizes results for two species of toxicological interest, mice and human beings. The work summarized here largely avoids rat‐based studies, as are summarized elsewhere. The Pig‐a gene mutation assay has emerged as a valuable tool for quantifying in vivo and in vitro mutational events. The Pig‐a locus is located at the X‐chromosome, giving the advantage that one inactivated allele can give rise to a mutated phenotype, detectable by multicolour flow cytometry. For in vivo studies, only minute blood volumes are required, making it easily incorporated into ongoing studies or experiments with limited biological materials. Low blood volumes also allow individuals to serve as their own controls, providing temporal information of the mutagenic process, and/or outcome of intervention. These characteristics make it a promising exposure marker. To date, the Pig‐a gene mutation assay has been most commonly performed in rats, while reports regarding its usefulness in other species are accumulating. Besides its applicability to in vivo studies, it holds promise for genotoxicity testing using cultured cells, as shown in recent studies. In addition to safety assessment roles, it is becoming a valuable tool in basic research to identify mutagenic effects of different interventions or to understand implications of various gene defects by investigating modified mouse models or cell systems. Human blood‐based assays are also being developed that may be able to identify genotoxic environmental exposures, treatment‐ and lifestyle‐related factors or endogenous host factors that contribute to mutagenesis.
Estimating the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients
Authors: Mauguen Audrey , Seshan Venkatraman E. , Ostrovnaya Irina , Begg Colin B. 
Published: May 2017

Summary
Next generation sequencing panels are being used increasingly in cancer research to study tumor evolution. A specific statistical challenge is to compare the mutational profiles in different tumors from a patient to determine the strength of evidence that the tumors are clonally related, that is, derived from a single, founder clonal cell. The presence of identical mutations in each tumor provides evidence of clonal relatedness, although the strength of evidence from a match is related to how commonly the mutation is seen in the tumor type under investigation. This evidence must be weighed against the evidence in favor of independent tumors from non-matching mutations. In this article, we frame this challenge in the context of diagnosis using a novel random effects model. In this way, by analyzing a set of tumor pairs, we can estimate the proportion of cases that are clonally related in the sample as well as the individual diagnostic probabilities for each case. The method is illustrated using data from a study to determine the clonal relationship of lobular carcinoma in situ with subsequent invasive breast cancers, where each tumor in the pair was subjected to whole exome sequencing. The statistical properties of the method are evaluated using simulations, demonstrating that the key model parameters are estimated with only modest bias in small samples in most configurations.
FPCA-based Method to Select Optimal Sampling Schedules That Capture Between-subject Variability in Longitudinal Studies
Authors: Wu Meihua , Diez-Roux Ana , Raghunathan Trivellore E. , Sánchez Brisa N. 
Published: May 2017

Summary
A critical component of longitudinal study design involves determining the sampling schedule. Criteria for optimal design often focus on accurate estimation of the mean profile, although capturing the between-subject variance of the longitudinal process is also important since variance patterns may be associated with covariates of interest or predict future outcomes. Existing design approaches have limited applicability when one wishes to optimize sampling schedules to capture between-individual variability. We propose an approach to derive optimal sampling schedules based on functional principal component analysis (FPCA), which separately characterizes the mean and the variability of longitudinal profiles and leads to a parsimonious representation of the temporal pattern of the variability. Simulation studies show that the new design approach performs equally well compared to an existing approach based on parametric mixed model (PMM) when a PMM is adequate for the data, and outperforms the PMM-based approach otherwise. We use the methods to design studies aiming to characterize daily salivary cortisol profiles and identify the optimal days within the menstrual cycle when urinary progesterone should be measured.
A Bayesian Screening Approach for Hepatocellular Carcinoma Using Multiple Longitudinal Biomarkers
Authors: Tayob Nabihah , Stingo Francesco , Do Kim-Anh , Lok Anna S. F. , Feng Ziding 
Published: May 2017

Summary
Advanced hepatocellular carcinoma (HCC) has limited treatment options and poor survival, therefore early detection is critical to improving the survival of patients with HCC. Current guidelines for high-risk patients include ultrasound screenings every six months, but ultrasounds are operator dependent and not sensitive for early HCC. Serum -Fetoprotein (AFP) is a widely used diagnostic biomarker, but it has limited sensitivity and is not elevated in all HCC cases so, we incorporate a second blood-based biomarker, des’ carboxy-prothrombin (DCP), that has shown potential as a screening marker for HCC. The data from the Hepatitis C Antiviral Long-term Treatment against Cirrhosis (HALT-C) Trial is a valuable source of data to study biomarker screening for HCC. We assume the trajectories of AFP and DCP follow a joint hierarchical mixture model with random changepoints that allows for distinct changepoint times and subsequent trajectories of each biomarker. The changepoint indicators are jointly modeled with a Markov Random Field distribution to help detect borderline changepoints. Markov chain Monte Carlo methods are used to calculate posterior distributions, which are used in risk calculations among future patients and determine whether a patient has a positive screen. The screening algorithm was compared to alternatives in simulations studies under a range of possible scenarios and in the HALT-C Trial using cross-validation.
Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Authors: Bruce Scott A. , Hall Martica H. , Buysse Daniel J. , Krafty Robert T. 
Published: May 2017

SummaryMany studies of biomedical time series signals aim to measure the association between frequency-domain properties of time series and clinical and behavioral covariates. However, the time-varying dynamics of these associations are largely ignored due to a lack of methods that can assess the changing nature of the relationship through time. This article introduces a method for the simultaneous and automatic analysis of the association between the time-varying power spectrum and covariates, which we refer to as conditional adaptive Bayesian spectrum analysis (CABS). The procedure adaptively partitions the grid of time and covariate values into an unknown number of approximately stationary blocks and nonparametrically estimates local spectra within blocks through penalized splines. CABS is formulated in a fully Bayesian framework, in which the number and locations of partition points are random, and fit using reversible jump Markov chain Monte Carlo techniques. Estimation and inference averaged over the distribution of partitions allows for the accurate analysis of spectra with both smooth and abrupt changes. The proposed methodology is used to analyze the association between the time-varying spectrum of heart rate variability and self-reported sleep quality in a study of older adults serving as the primary caregiver for their ill spouse.