bluuebunny/crossref_metadata_2025_split huggingface dataset:
Customer engagement through choice in cause-related marketing
Authors: Christofi Michael , Vrontis Demetris , Leonidou Erasmia , Thrassou Alkis 
Published: November 2018

PurposeThe purpose of this paper is to construct a conceptual framework of the effects of customer engagement on cause-related marketing (CRM), with the goal of providing a solid scientific foundation for the development and stimulation of future research on the critical intersection of these two topics.Design/methodology/approachThe research defines customer engagement in CRM campaigns as the conditions under which consumers are allowed to choose the cause that receives the donation, the cause proximity (geographical proximity) and the type of donation in a CRM campaign.FindingsThe paper conceptualizes the role of customer engagement in enhancing the effectiveness of a CRM campaign, in terms of coverage, customization and reduced consumer skepticism, as well as in triggering positive word-of-mouth (WOM) persuasion behaviors.Practical implicationsThe conceptual framework provides several practicable directions toward effective control of CRM campaign outcomes, for both local and global firms.Originality/valueThe paper rests on established empirical foundations to develop a comprehensive preliminary multi- disciplinary framework on the subject, setting the path for further research in the fields of CRM, customer engagement andInternational Business Research, and reaching findings of both scholarly and executive worth.
A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches
Authors: Mathiyazhagan Kaliyan , Gnanavelbabu A. , Lokesh Prabhuraj B. 
Published: November 2018

PurposeUrbanization and globalization in India have led to the depletion of resources and degradation of the environment to meet the demands. Because of these issues, researchers and practitioners have begun to study various strategies to reduce the level consumption of resources to utilize it for present and future needs. In pursuit of finding solutions to the problems, sustainable building construction is found as the best key to avoid depletion of resources. Sustainable material selection is found as a vital strategy in construction. The paper aims to discuss this issue.Design/methodology/approachA three-phase methodology is proposed for framing the assessment model for construction industries to select materials for construction. In the first phase, a total of 23 sub-criteria of triple bottom line (TBL) and four brick materials as alternatives were identified. The second phase finds the weights and ranks of criteria and sub-criteria using the best worst methodology (BWM) the third phase involves ranking of materials concerning sub-criteria weights determined in phase II using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).FindingsThe objective of study is fixed to identify the criteria list for the selection of material in construction industries from the literature review especially for Indian construction industries; to rank the criteria for selection of materials with the help of the BWM approach; and to prioritize the identified materials in the view of sustainability with the help of Fuzzy TOPSIS in construction industries perspective. This study analyzed and choosing right sustainable materials by the three pillars of sustainability which are the environment, economic and social, also called TBL, for Indian construction companies by framing a sustainable material assessment model.Originality/valueThe results of this study facilitate to frame an assessment model for evaluating and selecting sustainable building materials.
The information behaviours of maximum security prisoners
Authors: Canning Cheryl , Buchanan Steven 
Published: November 2018

Purpose
The purpose of this paper is to advance the understanding of the information behaviours of prisoners, providing insight into their information needs and information-seeking preferences, and the factors influencing their behaviours; to inform education and rehabilitation programmes.

Design/methodology/approach
The paper is an in-depth qualitative study. The theoretical framework was provided via Chatman’s (1996) concepts of information poverty. Participants were adult male prisoners in a Scottish maximum security prison, and prison staff. Data collection method was semi-structured interviews.

Findings
Prisoners have a broad range of information needs, many sensitive and many unmet. Interpersonal information sources are predominantly used due to a combination of natural preference and restricted access to other information sources. Issues of stigma and trust influence information behaviours. Further issues include restrictive social norms, and disinformation to incite violence. A significant degree of risk is therefore inherent within interpersonal information interactions, fostering self-protective acts of secrecy and deception amongst prisoners. Unmet emotional needs appear particularly problematic.

Research limitations/implications
The paper highlights the need for further research exploring issues of unmet emotional needs in prisoners; in particular, assistive methods of need recognition and support in the problematic context.

Practical implications
The paper identifies significant unmet information needs in prisoners that impact upon their ability to cope with incarceration, and prepare for successful release and reintegration.

Originality/value
The paper addresses an understudied group of significant societal concern and advances the understanding of information need in context, providing insight into unmet needs and issues of affect in the incarcerated small world context.
Confining value from neural networks
Authors: Anagnostopoulos Ioannis , Rizeq Anas 
Published: November 2018

PurposeThis study provides valuable insights to managers aiming to increase the effectiveness of their diversification and growth portfolios. The purpose of this paper is to examine the value of utilizing a neural networks (NNs) approach using mergers and acquisition (M&A) data confined in the US technology domain.Design/methodology/approachUsing data from Bloomberg for the period 2000–2016, the results confirm that an NN approach provides more explanation between financial variables in the model than a traditional regression model where the NN approach of this study is then compared with linear classifier, logistic regression. The empirical results show that NN is a promising method of evaluating M&A takeover targets in terms of their predictive accuracy and adaptability.FindingsThe findings emphasize the value alternative methodologies provide in high-technology industries in order to achieve the screening and explorative performance objectives, given the technological complexity, market uncertainty and the divergent skill sets required for breakthrough innovations in these sectors.Research limitations/implicationsNN methods do not provide for a fuller analysis of significance for each of the autonomous variables in the model as traditional regression methods do. The generalization breadth of this study is limited within a specific sector (technology) in a specific country (USA) covering a specific period (2000–2016).Practical implicationsInvestors value firms before investing in them to identify their true stock price; yet, technology firms pose a great valuation challenge to investors and analysts alike as the latest information technology stock price bubbles, Silicon Valley and as the recent stratospheric rise of financial technology companies have also demonstrated.Social implicationsNumerous studies have shown that M&As are more often than not destroy value rather than create it. More than 50 percent of all M&As lead to a decline in relative total shareholder return after one year. Hence, effective target identification must be built on the foundation of a credible strategy that identifies the most promising market segments for growth, assesses whether organic or acquisitive growth is the best way forward and defines the commercial and financial hurdles for potential deals.Originality/valueTechnology firm value is directly dependent on growth, consequently most of the value will originate from future customers or products not from current assets that makes it challenging for investors to measure a firm’s beta (risk) where the value of a technology is only known after its commercialization to the market. A differentiated methodological approach used is the use of NNs, machine learning and data mining to predict bankruptcy or takeover targets.
A parametric and adaptive slicing (PAS) technique: general method and experimental validation
Authors: Rosa Francesco , Graziosi Serena 
Published: November 2018

Purpose
The purpose of this paper is to describe an innovative Parametric and Adaptive Slicing (PAS) technique to be used for generating material addition paths along three-dimensional surfaces.

Design/methodology/approach
The method is grounded on the possibility to generate layers starting from multiple reference surfaces (already available in the model or created on purpose). These are used for mathematically deriving a family of parametric surfaces whose shape and spacing (the layer thickness) can be tuned to get the desired aesthetic, technical and functional characteristics. The adhesion among layers is obtained guaranteeing a smooth transition among these surfaces.

Findings
The examples described in the paper demonstrate that the PAS technique enables the addition of the material along non-planar paths and, hence, the elimination of the staircase effect. In addition, objects printed using this technique show improved mechanical properties with respect to those printed using standard planar layers.

Research limitations/implications
As the method allows a local control of the material addition/deposition, it can be used to design the mechanical behavior of the objects to be printed.

Originality/value
The technique proposed in this paper overcomes the limitations of currently available adaptive and curved layer slicing strategies, by introducing the possibility to generate layers with a non-constant thickness whose shape morphs smoothly from one layer to another.
Increased serum levels of progranulin (PGRN) in patients with haemophilic arthropathy
Authors: Kotela Andrzej , Wojdasiewicz Piotr , Łęgosz Paweł , Sarzyńska Sylwia , Drela Katarzyna , Pulik Łukasz , Kaleta Beata , Kniotek Monika , Borysowski Jan , Poniatowski Łukasz A. , Kotela Ireneusz 
Published: November 2018

SummaryHaemophilia A and B are rarely occurring X chromosome‐linked congenital coagulation disorders dominated by spontaneous joint bleedings and chronic synovitis, leading to development of haemophilic arthropathy (HA). Progranulin (PGRN) is a growth factor with anti‐inflammatory and immunomodulatory properties. PGRN is an important molecule in the pathogenesis of osteoarthritis (OA) and rheumatological disorders. This study was aimed at investigating the potential role of PGRN in the mechanisms underlying the pathogenesis of HA. The serum levels of PGRN were measured by enzyme‐linked immunosorbent assay (ELISA) in patients with end‐stage knee joint HA (n = 20) and end‐stage primary knee joint OA (n = 20) who met the inclusion and exclusion criteria. The clinical and radiological assessment of disease severity was evaluated by the Knee Society Score (KSS) and Kellgren‐Lawrence scale. Median PGRN levels in HA patients was 349.1 ng/mL (232.8–415.6 ng/mL) and in OA patients 148.3 ng/mL (112.1‐275.3 ng/mL) with statistically significant differences between both groups (P < 0.015). Further analysis revealed no correlation between PGRN levels and any of the patient demographics and clinical parameters. This study demonstrates increased PGRN serum levels in patients with HA and provides new insights into the mechanisms underlying the pathogenesis of HA indicating a new potential target for therapeutic intervention.
An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care
Authors: Herrin Jeph , Soulos Pamela R. , Xu Xiao , Gross Cary P. , Pollack Craig Evan 
Published: November 2018

ObjectiveTo develop an empiric approach for evaluating the performance of physician peer groups based on patient‐sharing in administrative claims data.Data SourcesSurveillance, Epidemiology and End Results‐Medicare linked dataset.Study DesignApplying social network theory, we constructed physician peer groups for patients with breast cancer. Under different assumptions of key parameter values—minimum patient volume for physician inclusion and minimum number of patients shared between physicians for a connection—we compared agreement in group membership between split samples during 2004‐2006 (T1) (reliability) and agreement in group membership between T1 and 2007‐2009 (T2) (stability). We also compared the results with those derived from randomly generated groups and to hospital affiliation‐based groups.Principal FindingsThe sample included 142 098 patients treated by 43 174 physicians in T1 and 136 680 patients treated by 51 515 physicians in T2. We identified parameter values that resulted in a median peer group reliability of 85.2 percent (Interquartile range (IQR) [0 percent, 96.2 percent]) and median stability of 73.7 percent (IQR [0 percent, 91.0 percent]). In contrast, stability of randomly assigned peer groups was 6.2 percent (IQR [0 percent, 21.0 percent]). Median overlap of empirical groups with hospital groups was 32.2 percent (IQR [12.1 percent, 59.2 percent]).ConclusionsIt is feasible to construct physician peer groups that are reliable, stable, and distinct from both randomly generated and hospital‐based groups.
Rapid Separation of Organophosphate Pesticides using Micellar Electrokinetic Chromatography and Short‐end Injection,
Authors: Cao Xi , Hogan Anna , Moore Eric 
Published: November 2018

AbstractOrganophosphate (OP) pesticides are highly toxic substances and are frequently represented as poisons. In order to qualify and quantify the selected OP pesticides (methyl paraoxon, ethyl paraoxon, methyl parathion, fenitrothion, and ethyl parathion), micellar electrokinetic chromatography and short‐end injection were investigated. This is the first time that this combination has been used to separate OP pesticides. A capillary with 8.5 cm effective length was used, and the analytes were separated within 2.1 min. Separation conditions including buffer (type, pH, and concentration), sodium dodecyl sulfate concentration, and separation voltage were optimized. The limit of detection (LOD) was estimated in the range of 10–20 μM. The OP pesticides spiked in artificial saliva and drinking water gave superior peak profiles, and good average recoveries 95.6% and 62.3%, respectively. Overall, a rapid method with excellent resolution and efficiency was developed and successfully applied in the analysis of potential sample matrixes.
Development of an Earthen Dam Break Database
Authors: Hood K. , Perez R.A. , Cieplinski H.E. , Hromadka T.V. , Moglen G.E. , McInvale H.D. 
Published: November 2018

AbstractEarthen embankment dams comprise 85% of all major operational dams in the United States. Assessment of peak flow rates for these earthen dams and the impacts on dam failure are of high interest to engineers and planners. Regression analysis is a frequently used risk assessment approach for earthen dams. In this paper, we present a decision support tool for assessing the applicability of nine regression equations commonly used by practitioners. Using data from 108 case studies, six parameters were observed to be significant factors predicting for peak flow as a metric for risk analysis. We present our work on an expanded earthen dam break database that relates the regression equations and underlying data. A web application, regression selection tool, is also presented to assess the appropriateness of a given model for a given test point. This graphical display allows users to visualize how their data point compares with the data used for the regression equation. These contributions improve estimates and better inform decision makers regarding operational and safety decisions.
Diets of animal origin and their influence on the development of the immatures of Chrysomya albiceps (Diptera: Calliphoridae): implications for forensic entomology
Authors: Salazar‐Souza Mônica , de Alcantara Azevedo Wellington Thadeu , Couri Márcia Souto , Aguiar Valéria Magalhães 
Published: November 2018

AbstractIn forensic entomology, the minimum and maximum post‐mortem interval (PMI) is estimated on the basis of the developmental stages of necrophagous Diptera larvae on a corpse. The nutritional composition of the decomposing tissue, which can influence larval development rates, may impact the precision of this estimate. We compared the post‐embryonic development of Chrysomya albiceps reared on bovine muscle and swine lung. Forty newly hatched fly larvae, per treatment, were placed on 60 g of the following tissues: bovine muscle (control) and swine lung (T1). Each treatment had three replicates. The experiments were maintained under controlled conditions (28°C day/26°C night, 70 ± 10% RH and 12 h photophase). Flies reared on bovine muscle took significantly longer to complete their larval phase (8.1 days) than did larvae reared on swine lung (6.8 days). The total duration of development in bovine muscle was significantly slower (12.3 days) than in swine lung. Larvae that were reared on swine lungs were significantly heavier than larvae reared on bovine muscle. Total larval viability was high on pig lung (over 49%). The sex ratio was closer to the 1:1 ratio in bovine muscle (rs = 0.55), with a slightly greater proportion of female larvae. The percentage of abnormality remained within the predicted range. The results show that the different tissues influenced larval development. This underlines the importance of considering the type of cadaveric tissue when larval development is used to calculate the minimum PMI in forensic investigations.
An appropriately sized soft polyester external stent prevents enlargement and neointimal hyperplasia of a saphenous vein graft in a canine model
Authors: Yasuda Shota , Goda Motohiko , Shibuya Taisuke , Uchida Keiji , Suzuki Shinichi , Noishiki Yasuharu , Yokoyama Utako , Ishikawa Yoshihiro , Masuda Munetaka 
Published: November 2018

AbstractAlthough the efficacy of external stents for vein grafts in coronary artery bypass grafting has been recognized, the ideal diameter and material of the stent remain controversial. We created a new external stent made of soft polyester mesh and performed an animal experiment using canines. Bilateral saphenous vein grafts were interposed in the bilateral common carotid artery of 10 beagles. The grafts in the left carotid artery were designated as the control group, and those in the right rolled by a soft polyester mesh external stent were designated as mesh group. Two of the 10 animals were sacrificed due to severe wound infection. The other eight were observed by echography for 6 months, and then grafts were extracted and thickness of the neointima of the grafts was measured. The control group showed 146% ± 26% postoperative enlargement of the internal diameter of the vein grafts after 6 months, whereas the mesh group showed only 115% ± 15% after the same duration (P = 0.0003). The median thickness of the neointima in the mesh group (170 µm [range: 150–190]) was significantly thinner than that in the control group (260 µm [range: 220–310], P < 0.0001). Some degree of correlation between the thickness of neointima and proportion of enlargement was noted (r = 0.518, P = 0.0024). A soft polyester mesh external stent for vein grafts successfully suppressed the enlargement of the vein grafts and thickness of the neointima after 6 months.
Letter: is microwave ablation superior to radiofrequency ablation for early‐stage hepatocellular carcinoma?
Authors: Liao Ying‐Yang , Ge De‐Xiang , Zhang Xiao‐Ying 
Published: November 2018

Linked ContentThis article is linked to Zheng et al and Liu et al papers. To view these articles visit https://doi.org/10.1111/apt.14929 and https://doi.org/10.1111/apt.15048.
Editorial: treating strictures in inflammatory bowel disease—authors’ reply
Authors: Rieder Florian , Feagan Brian G. , Jairath Vipul ,   the CONSTRICT study group
Published: November 2018

Linked ContentThis article is linked to Morar et al and Kamm papers. To view these articles visit https://doi.org/10.1111/apt.13388 and https://doi.org/10.1111/apt.14987.
Letter: the effect of sirolimus on recurrence and survival in liver transplant recipients with hepatocellular carcinoma—authors’ reply
Authors: Menon Krishna V. , Hakeem Abdul R. , Heaton Nigel D. 
Published: November 2018

Linked ContentThis article is linked to Menon et al and Grigg et al papers. To view these articles visit https://doi.org/10.1111/apt.12185 and https://doi.org/10.1111/apt.14963.
Letter: is microwave ablation superior to radiofrequency ablation for early stage hepatocellular carcinoma? Authors' reply
Authors: Liu Wenwu , Li Binkui , Yuan Yunfei 
Published: November 2018

Linked ContentThis article is linked to Zheng et al and Liao et al papers. To view these articles visit https://doi.org/10.1111/apt.15025 and https://doi.org/10.1111/apt.15048.
Pulmonary transit time from contrast echocardiography and cardiac magnetic resonance imaging: Comparison between modalities and the impact of region of interest characteristics
Authors: Monahan Ken , Coffin Samuel , Lawson Mark , Saliba Linda , Rutherford Ray , Brittain Evan 
Published: November 2018

IntroductionThe degree of correlation of pulmonary transit time (PTT) between contrast echocardiography and cardiac magnetic resonance imaging (MRI) across the spectrum of cardiac disease has not been quantified. In addition, the degree to which PTT estimates are affected by variation in location and size of regions of interest (ROI) is unknown.MethodsPulmonary transit time was obtained using an inflection point technique from individuals that underwent contrast echocardiography and cardiac MRI. Right ventricular, left atrial, and left ventricular ROIs were evaluated, and two sizes for each ROI were used. The Spearman correlation coefficient and Bland–Altman analysis were used for comparisons between modalities. Bland–Altman plots were also used to measure the impact of ROI size and location on transit times.ResultsFourteen participants (age: 27–64 years; LV ejection fraction: 30%–60%) underwent both studies a median of 1 week apart. The correlation between modalities was significant for PTT (r = 0.65; P = 0.01) and normalized PTT (r = 0.80; P = 0.001). Cardiac MRI yielded transit times consistently higher than contrast echocardiography (bias ~ 1.4 seconds), but the discordance was not dependent on transit time magnitude. Low bias was observed for comparisons of ROI size and location (<0.5 seconds).ConclusionsContrast echocardiography underestimates transit time measurements obtained by cardiac MRI, although the discrepancy was systematic and may have been contributed to by the interval between imaging studies. ROI location and size did not impact transit time values, suggesting that ROIs could be placed without intensive training, a step toward incorporation of real‐time PTT measurement into echocardiographic laboratory workflow.