bluuebunny/crossref_metadata_2025_split huggingface dataset:
Side by side comparison of three fully automated SARS-CoV-2 antibody assays with a focus on specificity
Authors: Perkmann Thomas , Perkmann-Nagele Nicole , Breyer Marie-Kathrin , Breyer-Kohansal Robab , Burghuber Otto C , Hartl Sylvia , Aletaha Daniel , Sieghart Daniela , Quehenberger Peter , Marculescu Rodrig , Mucher Patrick , Strassl Robert , Wagner Oswald F , Binder Christoph J , Haslacher Helmuth 
Published: June 2020

ABSTRACTBackgroundIn the context of the COVID-19 pandemic, numerous new serological test systems for the detection of anti-SARS-CoV-2 antibodies have become available quickly. However, the clinical performance of many of them is still insufficiently described. Therefore we compared three commercial, CE-marked, SARS-CoV-2 antibody assays side by side.MethodsWe included a total of 1,154 specimens from pre-COVID-19 times and 65 samples from COVID-19 patients (≥14 days after symptom onset) to evaluate the test performance of SARS-CoV-2 serological assays by Abbott, Roche, and DiaSorin.ResultsAll three assays presented with high specificities: 99.2% (98.6-99.7) for Abbott, 99.7% (99.2-100.0) for Roche, and 98.3% (97.3-98.9) for DiaSorin. In contrast to the manufacturers’ specifications, sensitivities only ranged from 83.1% to 89.2%. Although the three methods were in good agreement (Cohen’s Kappa 0.71-0.87), McNemar’s test revealed significant differences between results obtained from Roche and DiaSorin. However, at low seroprevalences, the minor differences in specificity resulted in profound discrepancies of positive predictability at 1% seroprevalence: 52.3% (36.2-67.9), 77.6% (52.8-91.5), and 32.6% (23.6-43.1) for Abbott, Roche, and DiaSorin, respectively.ConclusionWe find diagnostically relevant differences in specificities for the anti-SARS-CoV-2 antibody assays by Abbott, Roche, and DiaSorin that have a significant impact on the positive predictability of these tests.
Composite fuzzy-wavelet-based active contour for medical image segmentation
Authors: Mewada Hiren , Patel Amit V. , Chaudhari Jitendra , Mahant Keyur , Vala Alpesh 
Published: June 2020

Purpose
In clinical analysis, medical image segmentation is an important step to study the anatomical structure. This helps to diagnose and classify abnormality in the image. The wide variations in the image modality and limitations in the acquisition process of instruments make this segmentation challenging. This paper aims to propose a semi-automatic model to tackle these challenges and to segment medical images.

Design/methodology/approach
The authors propose Legendre polynomial-based active contour to segment region of interest (ROI) from the noisy, low-resolution and inhomogeneous medical images using the soft computing and multi-resolution framework. In the first phase, initial segmentation (i.e. prior clustering) is obtained from low-resolution medical images using fuzzy C-mean (FCM) clustering and noise is suppressed using wavelet energy-based multi-resolution approach. In the second phase, resultant segmentation is obtained using the Legendre polynomial-based level set approach.

Findings
The proposed model is tested on different medical images such as x-ray images for brain tumor identification, magnetic resonance imaging (MRI), spine images, blood cells and blood vessels. The rigorous analysis of the model is carried out by calculating the improvement against noise, required processing time and accuracy of the segmentation. The comparative analysis concludes that the proposed model withstands the noise and succeeds to segment any type of medical modality achieving an average accuracy of 99.57%.

Originality/value
The proposed design is an improvement to the Legendre level set (L2S) model. The integration of FCM and wavelet transform in L2S makes model insensitive to noise and intensity inhomogeneity and hence it succeeds to segment ROI from a wide variety of medical images even for the images where L2S failed to segment them.
The tangled web: consequences of workplace cyberbullying in adult male and female employees
Authors: Loh Jennifer , Snyman Robyn 
Published: June 2020

Purpose
The purpose of this paper is to test a moderated mediation model that links the experience of cyberbullying, perceived stress and job satisfaction among Australian employees.

Design/methodology/approach
A survey of 254 white collar Australian employees was conducted from a wide variety of business corporations to investigate the role of workplace cyberbullying and job outcomes. A moderated mediation analysis was conducted.

Findings
Results indicated that workplace cyberbullying resulted in perceived stress, which in turn predicted employee’s job dissatisfaction. The results further revealed that cyberbullied female employees as opposed to male employees were more likely to report greater perceived stress and to be dissatisfied in their job.

Research limitations/implications
Overall, the results suggest that cyberbullying is a potential resource drain for employees and has detrimental implications in their organisational life. Importantly, male and female employees reacted to workplace cyberbullying differently suggesting the need to address the issue of workplace cyberbullying more gender sensitively.

Originality/value
This study provides empirical evidence that workplace cyberbullying can be a gendered phenomenon. Furthermore, COR theory and gender role theory is combined to reveal the differences between men and women in terms of their vulnerability towards different stressors.
An exploration of the techniques, outputs and outcomes of circulation management at exhibitions
Authors: Töppig Sabine Elisabeth , Moital Miguel 
Published: June 2020

PurposeTo establish how and why exhibition managers manage circulation, this study explores the techniques (specific activities used to influence circulation), outputs (tangible enhancements in the performance of the exhibition resulting from changes in circulation dynamics) and outcomes (benefits of those enhancements to exhibitors, attendees and the exhibition organiser) of circulation management.Design/methodology/approachIn face-to-face interviews, 10 exhibition managers were asked how and why they manage attendee circulation, which also involved a card-sorting exercise to elicit tacit circulation management knowledge. Four different experienced exhibitions managers from three continents were asked to validate the findings.FindingsFour types of techniques were identified: magnet, layout, curiosity and playfulness and guiding techniques, with these implemented to achieve five outputs: greater footfall, better exposure to exhibits, enhanced navigation, greater buzz and managing congestion levels. The results further show that circulation was managed to achieve a variety of organiser-, exhibitor- and attendee-related outcomes. The study uncovered a large range of factors influencing the employment of circulation management techniques. Conflicts in outputs resulting from several techniques are highlighted, requiring the exhibition manager to establish which outputs and resulting outcomes take priority over others.Originality/valueThis exploratory study is the first study to propose a circulation management model for the exhibition context, equipping exhibition managers with knowledge to strategically manage attendee circulation.
Popular preferences for a fully means-tested welfare provision model: social and cross-national divides in Europe
Authors: Gugushvili Dimitri , van Oorschot Wim 
Published: June 2020

PurposeWhether welfare provision should be broad-based or selectively targeted at the poor is one of the most common themes in social policy discourse. However, empirical evidence concerning people's preferences about these distributive justice principles is very limited. The current paper aims to bridge this gap, by analyzing Europeans' opinions about a hypothetical transformation of the welfare state that would provide social transfers and services only to people on low incomes.Design/methodology/approachThe analysis draws on data from the 2016 European Social Survey and covers 21 countries. In order to understand what would motivate people to support the complete means testing of welfare provision, we use multilevel models with individual-level and contextual predictors.FindingsThe results show that the upper and middle classes are the most opposed to the idea, presumably as they would be the net losers from such a reform. Furthermore, our results indicate that more-egalitarian people show a higher level of support for means testing, even though the political left has traditionally promoted universalism. Some key characteristics of the welfare state also matter: People are more likely to endorse complete means testing in countries with less-generous provision and a higher incidence of poverty. However, the extent to which the existing welfare state relies on means testing has no influence on people's opinions about implementing a fully means-tested welfare model.Practical implicationsSome of the key findings are likely to be of interest to activists advocating on behalf of the poor and the socially vulnerable. Although it is generally assumed that universal provision is the best strategy to address the needs of disadvantaged people, our results suggest that from an electoral point of view, targeting within universalism may be a more appealing welfare strategy.Originality/valueThis paper details one of the very few studies to examine preferences for means-tested welfare provision in a comparative context. In addition, one of the contextual variables used in the analysis – the proportion of means-tested social benefits out of the total expenditure on social benefits – is unique to this study.
Precise vehicle ego-localization using feature matching of pavement images
Authors: Jiang Zijun , Xu Zhigang , Li Yunchao , Min Haigen , Zhou Jingmei 
Published: June 2020

Purpose
Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

Design/methodology/approach
This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Findings
Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

Originality/value
The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.
Virtual reality and modern tourism
Authors: Pestek Almir , Sarvan Maida 
Published: June 2020

Purpose
The purpose of this paper is to provide an insight as to how recent trends in virtual reality (VR) have changed the way tourism and hospitality industry communicates their offerings and meets the tourists’ needs.

Design/methodology/approach
The approach is based on systematic literature review, where the relations between focal concepts are given to analyze potential future developments concerning VR.

Findings
The paper identifies and analyzes how VR technology affected tourism and hospitality industry through three main touch points – future tourism planning and management, technology-based marketing of tourism destinations and VR potential in changing consumer requirements. These concepts were analyzed to identify changing forces and suggest potential paradigm shifts that tourism and hospitality suppliers and marketers need to consider. These included realistic virtual travel replacements, the importance of interactive experiences and innovation in future tourism systems.

Originality/value
While there has been increasingly larger number of discussions on how tourists and tourism and hospitality industry have been using information and communication technology recently, there is little evidence of scholars and practitioners applying such methods. This paper used systematic literature review to illustrate means in which VR could be ingrained into tourism and hospitality services to meet the needs of tourists. It suggests that VR can and probably will fundamentally change the way in which tourists’ experiences and requirements are managed entirely.
Comprehensive analysis of potential prognostic biomarker in gliomas
Authors: Yu Zunpeng , Lu Long 
Published: June 2020

PurposeGliomas are common intracranial tumors with the characteristic of diffuse and invasive growth. The prognosis is poor, and the recurrence rate and mortality are higher. With the development of big data technology, many methods such as natural language processing, computer vision and image processing have been deeply applied in the medical field. This can help clinicians to provide personalized and precise diagnosis and therapeutic schedule for patients with different type of gliomas to achieve the best therapeutic effect. The purpose of this paper is to summarize and extract useful information from published research results by conducting a secondary analysis of the literature.Design/methodology/approachThe PubMed and China National Knowledge Infrastructure (CNKI) literature database were used to retrieve published Chinese and English research papers about human gliomas. Comprehensive analysis was applied to conduct this research. The factors affecting survival and prognosis were screened and analyzed respectively in this paper, and different methods for multidimensional data of patients were discussed.FindingsThis paper identified biomarkers and therapeutic modalities associated with prognosis for different grade of gliomas. This paper investigated the relationship among these clinical prognostic factors and different histopathologic tying and grade of gliomas by comprehensive analysis. This paper summarizes the research progress of biomarker in medical imaging and genomics of gliomas to improve prognosis and the current status of treatment in China.Originality/valueCombined with multimodal data such as genomics data, medical image data and clinical information data, this paper comprehensively analyzed the prognostic factors of glioma and provided guidance and evidence for rational treatment planning and improvement of clinical treatment prognosis.
Development and evaluation of a cloud bookcase system for mobile library
Authors: Lai Chin-Feng , Zhong Hua-Xu , Chiu Po-Sheng , Pu Ying-Hung 
Published: June 2020

PurposeThis study aims to adopt cloud technology and develop a “cloud bookcase system” to make it possible to provide consistent mobile reading experiences to allow readers to use all kinds of mobile devices to read e-books.Design/methodology/approachThis study implements a cloud bookcase and uses four indicators (system quality, information quality, service quality, user satisfaction) to evaluate the system for reading e-books.FindingsAfter completing the system, the authors used a questionnaire to evaluate the system. The results show that the quality can meet the needs and satisfaction of users. Subsequent interviews with some of the participants also reveal the biggest concerns of readers include library policy, resources and system quality.Practical implicationsSystem quality, information quality, service quality and satisfaction are adopted as the indicators to assess the ratings from people using mobile devices to read e-books on the cloud bookcase system developed in this study to evaluate whether the cloud bookcase system is a successful information system as well as the relations between mobile device factors and user ratings. The results indicate that the ratings from more than half of the readers for the system, as shown in the various indicators, achieve more than 60%. From the interview results, the results show that some participants also reveal there is still room for improvement in some areas.Originality/valueThis study implements a cloud bookcase and there are three contributions: (1) the cloud bookcase system developed in this study based on related theories proves able to meet the needs of users, (2) this system had high ratings for all four indicators, (3) the interview responses reveal that most people regard system quality as the most important, and some of the people value some of the items more, including library policy, readers' interests and more resources, especially the number of e-books available.
Towards sustainability practices deployment in building construction projects in Nigeria
Authors: Oladokun Michael Gbolagade , Isang Inimbom Walter , Emuze Fidelis 
Published: June 2020

PurposeWith recent extreme weather change from global warming, the ever-increasing volume of waste, and the unsustainable use of natural resources, there is the need to evolve a new way by which building construction projects are constructed to reduce carbon emissions, environmental degradation and excessive resource consumption. It is based on this premise that this paper presents the level of implementation of sustainability practices during building construction projects in Nigeria.Design/methodology/approachThis study adopted the mixed methods research approach that involves collecting quantitative and qualitative data through the use of questionnaire and interviews. The numeric data were analysed using descriptive and inferential statistics such average percentages, mean item score, Kruskal–Wallis and Mann–Whitney U tests whereas the textual data were analysed thematically.FindingsFrom the questionnaire survey, the result shows that the awareness level of sustainability practices by construction professionals is high in the study area. Also, the findings indicate that “choosing the right construction method for resource conservation and consideration of the client’s satisfaction” is the major sustainability practices that construction professionals implement in the construction phase of building projects in the study area. Insights from the interviews align with the findings from the questionnaire survey.Originality/valueThis study concluded that the awareness level of sustainability practices is high in the study area and “choosing the right construction method for resource conservation” and “consideration of the client's satisfaction” are the major sustainability practices that construction professionals are aware of and is being implemented in the study area. Based on these findings and conclusions reached, it is recommended that construction professionals should improve their knowledge of sustainability to enhance their competence for the effective implementation of sustainability practices during building construction projects in Nigeria.
Forensic Autopsies can Determine Latent Prostate Cancer Prevalence
Authors: Takaso Marin , Hitosugi Masahito , Nakagawa Risako , Mukaisho Kenichi , Moriguchi Shingo , Koh Mirae , Sugihara Hiroyuki 
Published: June 2020

AbstractTo evaluate the usefulness of forensic autopsies in determining latent prostate cancer (PC) prevalence, we examined latent PC prevalence from autopsies and compared our findings between decedents with and without cancer. Data from forensic autopsies performed in Japan from 2004 to 2014 were obtained. For each prostate, histopathological examinations were performed in both the base and the apex sections. Three hundred and seventeen Japanese decedents were selected for analysis. The mean age of decedents was 56.4 ± 17.8 years (range, 14–94 years). Among this population, 39.4% died suddenly of disease and 60.6% died of external causes. Latent PC was identified in 45 (14.2%) decedents, who ranged from 27 to 93 years old (mean, 71.1 ± 12.9 years). The prevalence of clinically significant PC with a Gleason score of 7 or more was 8.8%, and the rate increased with age. Fifteen males had cancers other than PC. The prevalence of overall latent PC was significantly higher for those with cancer compared with those without (40.0% vs. 12.9%; P = 0.003). In this study, the use of forensic autopsy materials provided the opportunity to obtain a more accurate natural history of PC, as the decedents in this situation would have been more likely to have died suddenly while behaving as normal prior to death, and less likely to have been impacted by long‐term medical interventions.
A study on the correlation between remnant cholesterol and urinary albumin to creatinine ratio in Chinese community adults: A report from the REACTION study
Authors: Li Binqi , Wang Anping , Wang Yuxia , Li Lin , Li Bing , Yang Zizhong , Zhou Xin , Gao Zhengnan , Tang Xulei , Yan Li , Wan Qin , Wang Weiqing , Qin Guijun , Chen Lulu , Ning Guang , Mu Yiming 
Published: June 2020

AbstractBackgroundThe correlation between remnant cholesterol (RC) and urinary albumin to creatinine ratio (UACR) has not been illustrated. The present study aims to explore the correlation between RC levels and UACR in Chinese community adults.MethodsThis study included 35 848 participants from a cohort study (REACTION). The UACR data were divided into three groups: UACR <10 mg/g, 10 ≤UACR<30 mg/g, and UACR ≥30 mg/g groups. RC was divided into two groups, according to the 75th percentile: <75% group and ≥75% group. Multiple logistic regression analysis was used to evaluate the correlation between RC and UACR.ResultsThe RC exhibited an adjusted odds ratio that was significant in models 1‐5. Although all confounders were corrected in model 5, RC and UACR were still significantly correlated， and the correlation was more significant in females，when compared to males (odds ratio [OR]: 1.117, 95% CI: 1.063‐1.176, P < 0.001 for all subjects; OR: 1.092, 95% CI: 1.128‐1.161, P = 0.004 for females; and OR: 1.085, 95% CI: 0.998‐1.194, P = 0.088 for males). The RC was significantly correlated with UACR for subjects with 5.6 ≤ fasting blood glucose < 7.0 or 7.8 ≤ post‐load blood glucose < 11.1 mmol/L, 24 ≤ body mass index (BMI) < 28 kg/m2, 120 ≤ systolic blood pressure < 140 and/or 80 ≤ diastolic blood pressure < 90 mm Hg.ConclusionsIn the Chinese community, RC is highly correlated with UACR, and the correlation is more significant in females compared with males. At higher RC levels, patients with critical values of blood pressure, BMI and blood glucose have a more significant correlation between RC and UACR.