bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of company-dependent and company-independent information sources on organizational attractiveness perceptions
Authors: Lin Hsiu-Fen 
Published: July 2015

Purpose– Grounded in the extended technology acceptance model and dual-process theory, the purpose of this paper is to develop a research model to examine the impact of company-dependent (e.g. recruitment web sites) and company-independent (e.g. social influences) information sources on job seeker perceptions of organizational attractiveness.Design/methodology/approach– Utilizing data collected from 193 participants in Taiwan, various relationships in the research model are tested using the partial least squares approach.Findings– The results indicated that job seeker beliefs (perceived usefulness and perceived ease of use) of recruitment web sites and social influence factors (informational and normative social influences) are important antecedents of organizational attractiveness. Furthermore, system quality affects perceived ease of use, while information quality and service quality influence both perceived ease of use and perceived usefulness of recruitment web sites.Practical implications– Organizations need to put time and effort into ensuring that job seekers are satisfied with the information and service quality of recruitment web sites, since these two service-oriented web site features can enhance job seeker perceptions of organizational attractiveness. Additionally, perhaps the recruitment web sites can add links designed specifically for the social influencers such as parents, significant others, or teachers.Originality/value– The empirical approach is novel to the recruitment literature, and this study demonstrates its viability in providing a more comprehensive examination of the role of recruitment-related information sources for organizational attractiveness perceptions. These contributions also have practical implications for organizations: understanding how various recruitment-related information sources are likely to affect job seeker attraction and application decisions may improve organizational recruitment effectiveness by building a well-designed recruitment web site and positive word of mouth from existing employees.
Personality and learning processes underlying maverickism
Authors: Gardiner Elliroma , Jackson Chris J 
Published: July 2015

Purpose
– Maverickism is the tendency of an individual to be socially competent, creative, goal focussed, risk-taking and disruptive. Previous research with the five-factor model (FFM) shows that individuals high in maverickism exhibit both functional and dysfunctional tendencies. The purpose of this paper is to compare and contrast the descriptive FFM with the process-oriented hybrid model of learning in personality (HMLP), in the prediction of maverickism.

Design/methodology/approach
– Employing a cross-sectional design with 490 full-time workers the authors use the NEO-International Personality Item Pool and the Learning Styles Profiler to examine differences in the FFM and HMLP in the prediction of maverickism.

Findings
– Results with the FFM, identify extraversion, openness and (low) agreeableness as significant predictors of maverickism. All factors of the HMLP (except conscientious learning) significantly predict maverickism. Hierarchal regression analysis shows that the HMLP accounts for an additional 21 percent of variance in maverickism over and above that of the FFM.

Research limitations/implications
– The authors have tested and built theory by identifying not only what predicts maverickism, but also how the learning processes of the HMLP interrelate to predict maverickism.

Practical implications
– Managers interested in developing the maverick potential of their employees will find this study useful because it identifies what to look for in maverick workers.

Social implications
– Individuals high in maverickism have the potential for radical innovation. Understanding how to identify and develop these individuals may lead to larger societal benefits.

Originality/value
– The authors are the first to use the HMLP to test maverickism. The research highlights the importance of both personality and learning processes in maverickism.
Entrepreneurial cognitions in academia: exploring gender differences
Authors: Alonso-Galicia Patricia Esther , Fernández-Pérez Virginia , Rodríguez-Ariza Lázaro , Fuentes-Fuentes María del Mar 
Published: July 2015

Purpose– The purpose of this paper is to draw from an adapted model of the Theory of Planned Behaviour and from existing models of entrepreneurial intention (EI) to analyse the role of gender on academics’ perceptions concerning the commercialisation of their research results. In particular, the authors explore differences in perceptions arising from diverse cognitions, such as attitudes towards entrepreneurial activities, the influence of close social groups and opportunity recognition self-efficacy.Design/methodology/approach– A questionnaire was addressed to 500 Spanish academics who have headed research projects with public funding in technology-related areas, and the results were subjected to multigroup structural equation analysis (LISREL) to determine the extent and nature of the differences within this group.Findings– The results obtained show that the influence of close social groups is perceived differently by men and women, particularly as regards the support received for academics’ attitudes and perceptions of control over the development of EI.Practical implications– The aim is to better understand the world facing academics and the influences on their intention to commercialise research outcomes. An understanding of these issues offers the opportunity to design appropriate government interventions to assist academic entrepreneurs undertaking a business venture.Originality/value– This paper considers an under-researched area that of female entrepreneurship in academia, traditionally considered a male-dominated activity. Helpful information is provided on gender differences in the academic context.
Exchange mechanisms between ethical leadership and affective commitment
Authors: Loi Raymond , Lam Long W. , Ngo Hang Yue , Cheong Sok-ian 
Published: July 2015

Purpose
– The purpose of this paper is to examine the underlying exchange mechanisms between ethical leadership behavior and affective commitment. The authors hypothesized that ethical leadership behavior enhances perceived organizational support (POS), which then raises employee affective commitment. The authors further predicted that economic exchange weakens such indirect effect of ethical leadership on affective commitment via POS.

Design/methodology/approach
– Using a two-phase survey, the authors tested the hypotheses with a sample of 176 bank employees in Macau using hierarchical regression analysis and bootstrapping.

Findings
– POS was found to mediate the relationship between ethical leadership behavior and affective commitment, whereas economic exchange was found to moderate the ethical leadership behavior – POS relationship as well as its indirect effect on affective commitment via POS.

Originality/value
– By identifying POS as the mediator and economic exchange as the moderator, this study enhances our knowledge of the dynamics of multiple exchange mechanisms linking ethical leadership behavior to affective commitment.
The predictive validity of the team diagnostic survey
Authors: Eisele Per 
Published: July 2015

Purpose
– The aims of the present study were to test the predictive validity of the Swedish version of the Team Diagnostic Survey (TDS).

Design/methodology/approach
– A model with both performance and satisfaction was tested with structural equation model (SEM) analyses. Participants completing the survey were employees (N = 214) across three large workplaces. Analyses were done at the group level and data from 33 teams were included in the final data material.

Findings
– Results from validation data indicate that the TDS has satisfactory high Cronbach’s alpha values on most factors. Results from the SEM analyses show a moderate model fit for the main model. Team-level factors predict both performance and satisfaction, while organization and coaching factors do not.

Research limitations/implications
– The present study was limited to a cross-sectional design, but earlier studies have shown that the accuracy of the TDS remains consistent over time. The main purpose of this study was to test the predictive validity of the instrument. Theoretical implications of the study are that a survey can be used to get a valid overall picture of the real-life work team’s effectiveness.

Practical implications
– Practical implications of the study are that communication between researcher and/or consultant and organizational stakeholders is made easier, as the most important factors that affect team effectiveness are identified.

Originality/value
– The work on the development on TDS has shown that it is possible to use a complex instrument to diagnose work groups, and this line of research is leading the way for better instruments.
An effective knowledge quality framework based on knowledge resources interdependencies
Authors: Sabetzadeh Farzad , Tsui Eric 
Published: July 2015

Purpose– The purpose of this paper is to introduce a new knowledge quality assessment framework based on interdependencies between content and schema as knowledge resources to enhance the quality of the knowledge that is being generated, disseminated and stored in a collaborative environment.Design/methodology/approach– A knowledge elaboration approach is based on intervening factors of schematic clustering applied to a trial wiki bulletin board. Through this schematic intervention in the form of group creation within a wiki environment, a user-centric mechanism is created to substantiate, compose and narrate the generated contents in a self-organizing way.Findings– Through this approach, quality in content can be enhanced by means of a favourably manipulated collaboration schema adopted by the knowledge management system (KMS) users instead of applying knowledge mining tools.Research limitations/implications– With consideration to trust as a significant factor in this study, the verification and referral process may vary for KMS structures that are of larger scale or in low-trust collaborative environments.Originality/value– This study demonstrates transition to higher quality knowledge with less time spent on the original content refinement and composition by paying due consideration to the interdependencies between knowledge resource content and its schema. Validation is done via a clustered group structure in a specially designed wiki which had been used as a discussion bulletin board on directed topics over an extended period.
Possible enhancement of BP180 autoantibody production by herpes zoster
Authors: Kamiya Koji , Aoyama Yumi , Suzuki Takahiro , Niwa Haruo , Horio Ai , Nishio Eiichi , Tokura Yoshiki 
Published: July 2015

AbstractBullous pemphigoid (BP) is an autoimmune blistering disease caused by autoantibodies against type XVII collagen/BP180 (BP180). Although the mechanisms of autoantibody production remain to be elucidated, herpes virus infections have been identified as a possible triggering factor for pemphigus. We report a case of herpes zoster (HZ) having anti‐BP180 serum antibodies. The patient developed sudden‐onset, tense blisters and edematous erythema on the right anterior chest, shoulder and upper back. Histopathology showed remarkable degeneration of keratinocytes, acantholysis and blister formation with ballooning cells, indicating herpes virus infection. A polymerase chain reaction analysis of varicella zoster virus (VZV) was positive in crusts and effusions from the skin lesions, confirming the definitive diagnosis of HZ. Notably, we found that the patient had anti‐BP180 serum antibodies in association with the occurrence of HZ. After successful treatment with valacyclovir hydrochloride for 7 days, the serum levels of anti‐BP180 antibodies decreased in accordance with the improvement of skin lesions. These findings suggest that the production of anti‐BP180 antibodies could be triggered by the reactivation of VZV.
Testing the ability of functional diversity indices to detect trait convergence and divergence using individual‐based simulation
Authors: Botta‐Dukát Zoltán , Czúcz Bálint 
Published: July 2015

Summary

The quest for ‘assembly rules’, that is the processes shaping the species composition of communities, is a central issue in community ecology. Nevertheless, so far there is no general agreement on a framework to detect assembly rules in real‐life data: several key elements are still missing or heavily disputed, including the choice of the appropriate test statistic (e.g. functional diversity index) and randomization strategy for each major assembly process.

Simulation studies based on artificial communities can help to explore the usefulness of different approaches in detecting assembly rules. Nevertheless, the currently dominant approach to simulate artificial communities (i.e. selecting species from a pool based solely on trait values) oversimplifies the complex processes involved in community assembly and thus fails to produce realistic patterns. Consequently, its value for testing methodologies is seriously limited.

In this study, we implemented a flexible, individual‐based algorithm simulating real‐life community processes (individuals are born, survive, compete for resources, reproduce and die), to generate artificial species composition data. With the help of this algorithm, we estimated the type I error rates and the statistical power of five different diversity indices (FRic, Rao's quadratic entropy, FEve, the variance of functional distances, and the variance of nearest‐neighbour distances) in combination with three randomization strategies (randomization of trait values in the whole data set, within‐plots and within the range of trait values occurring in each plot) for detecting two underlying assembly processes (habitat filtering and limiting similarity). We also tested the influence of all adjustable simulation parameters on the simulation results in a sensitivity analysis framework.

The results of the sensitivity analysis show that the individual‐based simulation framework proposed here can be used for creating artificial community data with realistic pattern of trait values. Based on the results, Rao's quadratic entropy performed best for detecting both habitat filtering (trait convergence) and limiting similarity (trait divergence). Functional richness may also be suitable for detect traiting convergence. Functional evenness and variance of nearest‐neighbour distances, however, should not be used for finding assembly rules.
Chronic neutrophilic leukaemia and plasma cell‐related neutrophilic leukaemoid reactions
Authors: Bain Barbara J. , Ahmad Shahzaib 
Published: July 2015

SummaryMany cases reported as ‘chronic neutrophilic leukaemia’ have had an associated plasma cell neoplasm. Recent evidence suggests that the great majority of such cases represent a neutrophilic leukaemoid reaction to the underlying multiple myeloma or monoclonal gammopathy of undetermined significance. We have analysed all accessible reported cases to clarify the likely diagnosis and to ascertain whether toxic granulation, Döhle bodies and an increased neutrophil alkaline phosphatase score were useful in making a distinction between chronic neutrophilic leukaemia and a neutrophilic leukaemoid reaction. We established that all these changes occur in both conditions. Toxic granulation and Döhle bodies are more consistently present in leukaemoid reactions but also occur quite frequently in chronic neutrophilic leukaemia. The neutrophil alkaline phosphatase score is increased in both conditions and is of no value in making a distinction.
Phase II study of an AKT inhibitor MK2206 in patients with relapsed or refractory lymphoma
Authors: Oki Yasuhiro , Fanale Michelle , Romaguera Jorge , Fayad Luis , Fowler Nathan , Copeland Amanda , Samaniego Felipe , Kwak Larry W. , Neelapu Sattva , Wang Michael , Feng Lei , Younes Anas 
Published: July 2015

SummaryWe conducted a phase II study of the AKT inhibitor, MK2206 in patients with relapsed or refractory lymphoma of any histology excluding Burkitt lymphoma or lymphoblastic lymphoma. MK‐2206 was administered orally at 200 mg once weekly in 28‐d cycles up to 12 cycles in the absence of progression or significant toxicity. The dose was adjusted based on tolerance. A total of 59 patients were enrolled. The final doses patients received were 300 mg (n = 33), 250 mg (n = 2), 200 mg (n = 16) and 135 mg (n = 8). Based on intent‐to‐treat analysis, objective response was observed in 8 (14%) patients (2 complete response and 6 partial response), with median response duration of 5·8 months. The overall response rate was 20% in 25 patients with classical Hodgkin lymphoma. Rash was the most common toxicity (any grade 53%, Grade 3 in 15%) and was observed in a dose‐dependent manner. The correlative cytokine analysis showed paradoxical increase in several cytokines, which may be explained by negative feedback mechanism induced by the on‐target effect of AKT inhibitor. Our data demonstrate that MK2206 has a favourable safety profile with a modest activity in patients with relapsed Hodgkin lymphoma. The future studies should explore mechanism‐based combinations (clinicaltrials.gov NCT01258998).
Stochastic Soft Shadow Mapping
Authors: Liktor G. , Spassov S. , Mückl G. , Dachsbacher C. 
Published: July 2015

AbstractIn this paper, we extend the concept of pre‐filtered shadow mapping to stochastic rasterization, enabling real‐time rendering of soft shadows from planar area lights. Most existing soft shadow mapping methods lose important visibility information by relying on pinhole renderings from an area light source, providing plausible results only for small light sources. Since we sample the entire 4D shadow light field stochastically, we are able to closely approximate shadows of large area lights as well. In order to efficiently reconstruct smooth shadows from this sparse data, we exploit the analogy of soft shadow computation to rendering defocus blur, and introduce a multiplane pre‐filtering algorithm. We demonstrate how existing pre‐filterable approximations of the visibility function, such as variance shadow mapping, can be extended to four dimensions within our framework.
Portal‐Masked Environment Map Sampling
Authors: Bitterli Benedikt , Novák Jan , Jarosz Wojciech 
Published: July 2015

AbstractWe present a technique to efficiently importance sample distant, all‐frequency illumination in indoor scenes. Standard environment sampling is inefficient in such cases since the distant lighting is typically only visible through small openings (e.g. windows). This visibility is often addressed by manually placing a portal around each window to direct samples towards the openings; however, uniformly sampling the portal (its area or solid angle) disregards the possibly high frequency environment map. We propose a new portal importance sampling technique which takes into account both the environment map and its visibility through the portal, drawing samples proportional to the product of the two. To make this practical, we propose a novel, portal‐rectified reparametrization of the environment map with the key property that the visible region induced by a rectangular portal projects to an axis‐aligned rectangle. This allows us to sample according to the desired product distribution at an arbitrary shading location using a single (precomputed) summed‐area table per portal. Our technique is unbiased, relevant to many renderers, and can also be applied to rectangular light sources with directional emission profiles, enabling efficient rendering of non‐diffuse light sources with soft shadows.
Wavelet Point‐Based Global Illumination
Authors: Wang Beibei , Meng Xiangxu , Boubekeur Tamy 
Published: July 2015

AbstractPoint‐Based Global Illumination (PBGI) is a popular rendering method in special effects and motion picture productions. This algorithm provides a diffuse global illumination solution by caching radiance in a mesh‐less hierarchical data structure during a preprocess, while solving for visibility over this cache, at rendering time and for each receiver, using microbuffers, which are localized depth and color buffers inspired from real time rendering environments. As a result, noise free ambient occlusion, indirect soft shadows and color bleeding effects are computed efficiently for high resolution image output and in a temporally coherent fashion. We propose an evolution of this method to address the case of non‐diffuse inter‐reflections and refractions. While the original PBGI algorithm models radiance using spherical harmonics, we propose to use wavelets parameterized on the direction space to better localize the radiance representation in the presence of highly directional reflectance. We also propose a new importance‐driven adaptive microbuffer model to capture accurately incoming radiance at a point. Furthermore, we evaluate outgoing radiance using a fast wavelet radiance product and contain the induced larger memory footprint by encoding hierarchically the wavelets in the PBGI tree. As a result, our algorithm can handle non‐lambertian BSDF in the light transport simulation, reproducing caustics and multiple reflections/refractions bounces with a similar quality to bidirectional path tracing in a large number of cases and for only a fraction of its computation time. Our approach is simple to implement and easy to integrate into any existing PBGI framework, with an intuitive control on the approximation error. We evaluate it on a collection of example scenes.
Inzidenztrends bei nicht‐melanozytärem Hautkrebs in Deutschland von 1998 bis 2010
Authors: Rudolph Christiane , Schnoor Maike , Eisemann Nora , Katalinic Alexander 
Published: July 2015

ZusammenfassungHintergrund und StudienzieleNicht‐melanozytärer Hautkrebs (NMSC = nonmelanoma skin cancer) ist die häufigste Krebserkrankung in Deutschland. Allerdings herrscht weitgehende Unklarheit über Inzidenztrends des NMSC und dessen häufigste Untertypen, Basalzellkarzinom (BCC) und Plattenepithelkarzinom (SCC), in Deutschland.Material und MethodenDie Daten aus Krebsregistern von 14 deutschen Bundesländern wurden herangezogen, um altersstandardisierte Inzidenzraten nach histologischen Untertypen zu ermitteln. Anhand von Joinpoint‐Regressionsmodellen wurden jährliche prozentuale Veränderungen berechnet, um Trendänderungen in den Jahren 1998 bis 2010 zu erkennen.ErgebnisseDie Inzidenz von NMSC in Deutschland erhöhte sich signifikant von 43,1 Fällen/100 000 im Jahr 1998 auf 105,2 Fälle/100 000 im Jahr 2010. Sowohl die Inzidenz als auch ihre Änderung war von Bundesland zu Bundesland sehr unterschiedlich. Der häufigste Tumor war das Basalzellkarzinom, gefolgt vom SCC. Es waren mehr Männer als Frauen betroffen, allerdings war der Anstieg der Inzidenz bei Frauen steiler.SchussfolgerungenDie Ergebnisse decken sich mit nationalen und internationalen Beobachtungen. Die Heterogenität der Inzidenz selbst und ihrer Änderung je nach untersuchtem Bundesland lässt vermuten, dass die Veränderung der Inzidenz höchstwahrscheinlich auf eine Verbesserung der Fallregistrierungspraxis in den deutschen Krebsregistern zurückzuführen ist.