1. |
- Bosson, J. K., et al.
(author)
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Psychometric Properties and Correlates of Precarious Manhood Beliefs in 62 Nations
- 2021
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In: Journal of Cross-Cultural Psychology. - : SAGE Publications. - 0022-0221 .- 1552-5422. ; 52:3
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Journal article (peer-reviewed)abstract
- Precarious manhood beliefs portray manhood, relative to womanhood, as a social status that is hard to earn, easy to lose, and proven via public action. Here, we present cross-cultural data on a brief measure of precarious manhood beliefs (the Precarious Manhood Beliefs scale [PMB]) that covaries meaningfully with other cross-culturally validated gender ideologies and with country-level indices of gender equality and human development. Using data from university samples in 62 countries across 13 world regions (N = 33,417), we demonstrate: (1) the psychometric isomorphism of the PMB (i.e., its comparability in meaning and statistical properties across the individual and country levels); (2) the PMB's distinctness from, and associations with, ambivalent sexism and ambivalence toward men; and (3) associations of the PMB with nation-level gender equality and human development. Findings are discussed in terms of their statistical and theoretical implications for understanding widely-held beliefs about the precariousness of the male gender role.
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2. |
- Cvitic, Petya Hristova, et al.
(author)
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Investigating Software Testing and Maintenance of Open-Source Distributed Ledger
- 2023
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In: Proceedings - 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023. - : IEEE conference proceedings. - 9781665452786 ; , s. 886-896
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Conference paper (peer-reviewed)abstract
- A distributed ledger is the backbone of all blockchain solutions. It provides a shared database spreading across a network of nodes. The number of DL solutions and their implementations has grown in recent years. Besides the architectural and performance promises of these solutions, organizations seekingto implement DL also need to consider the overall quality of the software available and its ecosystem. Particularly, previous research has identified the need to better understand the testing and maintenance practices behind these types of technologies. This paper investigates the testing and maintenance of 18 different open-source projects that implement distributed ledgers. We perform a manual inspection of test artefacts and mine the history of commits, issues and contributors of the chosen projects to understand the landscape of testing and maintenance in these projects. Our findings suggest that unit and integration tests are present in most projects, they do not follow a holistic system testing approach. Moreover, projects rely on a small team of core contributors (5 on average). While the projects are continuously maintained, larger changes are uncommon. Our results can be used for benchmarking and pinpointing areas of improvement for the development of distributed ledgers.
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3. |
- Cvitic, Petya Hristova, et al.
(author)
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Investigating Software Testing and Maintenance of Open-Source Distributed Ledger
- 2023
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In: Proceedings - 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023. - : IEEE. - 2833-9061. - 9781665452786
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Conference paper (peer-reviewed)abstract
- A distributed ledger is the backbone of all blockchain solutions. It provides a shared database spreading across a network of nodes. The number of DL solutions and their implementations has grown in recent years. Besides the architectural and performance promises of thesesolutions, organizations seekingto implement DL also need to consider the overall quality of the software available and its ecosystem. Particularly, previous research has identified the need to better understand the testing and maintenance practices behind these types of technologies. This paper investigates the testing and maintenance of 18 different open-source projects that implement distributed ledgers. We perform a manual inspection of test artefacts and mine the history of commits, issues and contributors of the chosen projects to understand the landscape of testing and maintenance in these projects. Our findings suggest that unit and integration tests are present in most projects, they do not follow a holistic system testing approach. Moreover, projects rely on a small team of core contributors (5 on average). While the projects are continuously maintained, larger changes are uncommon. Our results can be used for benchmarking and pinpointing areas of improvement for the development of distributed ledgers.
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4. |
- Dobslaw, Felix, 1983-, et al.
(author)
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Automated black-box boundary value detection
- 2023
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In: PeerJ Computer Science. - : PeerJ. - 2376-5992. ; 9
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Journal article (peer-reviewed)abstract
- Abstract Software systems typically have an input domain that can be subdivided into sub-domains, each of which generates similar or related outputs. Testing it on the boundaries between these sub-domains is critical to ensure high-quality software. Therefore, boundary value analysis and testing have been a fundamental part of the software testing toolbox for a long time and are typically taught early to software engineering students. Despite its many argued benefits, boundary value analysis for a given software specification or application is typically described in abstract terms. This allows for variation in how testers apply it and in the benefits they see. Additionally, its adoption has been limited since it requires a specification or model to be analysed. We propose an automated black-box boundary value detection method to support software testers in performing systematic boundary value analysis. This dynamic method can be utilized even without a specification or model. The proposed method is based on a metric referred to as the program derivative, which quantifies the level of boundariness of test inputs. By combining this metric with search algorithms, we can identify and rank pairs of inputs as good boundary candidates, i.e., inputs that are in close proximity to each other but with outputs that are far apart. We have implemented the AutoBVA approach and evaluated it on a curated dataset of example programs. Furthermore, we have applied the approach broadly to a sample of 613 functions from the base library of the Julia programming language. The approach could identify boundary candidates that highlight diverse boundary behaviours in over 70% of investigated systems under test. The results demonstrate that even a simple variant of the program derivative, combined with broad sampling and search over the input space, can identify interesting boundary candidates for a significant portion of the functions under investigation. In conclusion, we also discuss the future extension of the approach to encompass more complex systems under test cases and datatypes.
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5. |
- Dobslaw, Felix, et al.
(author)
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Automated black-box boundary value detection
- 2023
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In: PeerJ Computer Science. - 2376-5992. ; 9
-
Journal article (peer-reviewed)abstract
- Software systems typically have an input domain that can be subdivided into subdomains, each of which generates similar or related outputs. Testing it on the boundaries between these sub-domains is critical to ensure high-quality software. Therefore, boundary value analysis and testing have been a fundamental part of the software testing toolbox for a long time and are typically taught early to software engineering students. Despite its many argued benefits, boundary value analysis for a given software specification or application is typically described in abstract terms. This allows for variation in how testers apply it and in the benefits they see. Additionally, its adoption has been limited since it requires a specification or model to be analysed. We propose an automated black-box boundary value detection method to support software testers in performing systematic boundary value analysis. This dynamic method can be utilized even without a specification or model. The proposed method is based on a metric referred to as the program derivative, which quantifies the level of boundariness of test inputs. By combining this metric with search algorithms, we can identify and rank pairs of inputs as good boundary candidates, i.e., inputs that are in close proximity to each other but with outputs that are far apart. We have implemented the AutoBVA approach and evaluated it on a curated dataset of example programs. Furthermore, we have applied the approach broadly to a sample of 613 functions from the base library of the Julia programming language. The approach could identify boundary candidates that highlight diverse boundary behaviours in over 70% of investigated systems under test. The results demonstrate that even a simple variant of the program derivative, combined with broad sampling and search over the input space, can identify interesting boundary candidates for a significant portion of the functions under investigation. In conclusion, we also discuss the future extension of the approach to encompass more complex systems under test cases and datatypes.
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6. |
- Dobslaw, Felix, et al.
(author)
-
Automated black-box boundary value detection
- 2023
-
In: PeerJ Computer Science. - 2376-5992. ; 9
-
Journal article (peer-reviewed)abstract
- Software systems typically have an input domain that can be subdivided into subdomains, each of which generates similar or related outputs. Testing it on the boundaries between these sub-domains is critical to ensure high-quality software. Therefore, boundary value analysis and testing have been a fundamental part of the software testing toolbox for a long time and are typically taught early to software engineering students. Despite its many argued benefits, boundary value analysis for a given software specification or application is typically described in abstract terms. This allows for variation in how testers apply it and in the benefits they see. Additionally, its adoption has been limited since it requires a specification or model to be analysed. We propose an automated black-box boundary value detection method to support software testers in performing systematic boundary value analysis. This dynamic method can be utilized even without a specification or model. The proposed method is based on a metric referred to as the program derivative, which quantifies the level of boundariness of test inputs. By combining this metric with search algorithms, we can identify and rank pairs of inputs as good boundary candidates, i.e., inputs that are in close proximity to each other but with outputs that are far apart. We have implemented the AutoBVA approach and evaluated it on a curated dataset of example programs. Furthermore, we have applied the approach broadly to a sample of 613 functions from the base library of the Julia programming language. The approach could identify boundary candidates that highlight diverse boundary behaviours in over 70% of investigated systems under test. The results demonstrate that even a simple variant of the program derivative, combined with broad sampling and search over the input space, can identify interesting boundary candidates for a significant portion of the functions under investigation. In conclusion, we also discuss the future extension of the approach to encompass more complex systems under test cases and datatypes.
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7. |
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8. |
- Felix Garrido, Ananda Lais, et al.
(author)
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Eating habits, sleep, and a proxy for circadian disruption are correlated with dyslipidemia in overweight night workers
- 2021
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In: Nutrition (Burbank, Los Angeles County, Calif.). - : Elsevier BV. - 0899-9007 .- 1873-1244. ; 83
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Journal article (peer-reviewed)abstract
- Objective: The aim of this study was to evaluate the relationship between proxy for circadian disruption, eating habits, sleep characteristics, and dyslipidemic parameters.Methods: This was a randomized, double-blind, crossover controlled clinical trial, and for this study, only baseline data were used. The sample was composed of 36 overweight female nurses who worked on a fixed night shift (12 × 36 h). Linear regression models were used to assess the relationship between the mentioned variables.Results: The participants’ average age was 39.4 y (Standard error (SE) 1 y) and the average nighttime sleep duration was 5.76 h (SE 0.16 h). The average chronotype indicated a moderate early type (03:03 h; SE 20 min) and the average social jetlag was 03:42 h (SE 10 min). It was found that 1 h less of nighttime sleep increased very-low-density lipoprotein cholesterol levels by 2.75 mg/dL and triacylglyceride levels by 3.62 mg/dL. Additionally, higher social jetlag was associated with higher low-density lipoprotein cholesterol levels. On the other hand, each additional hour in the chronotype increased high-density lipoprotein cholesterol levels by 3.06 mg/dL and a time interval >2 h between the last meal and sleep onset was associated with higher high-density lipoprotein cholesterol levels.Conclusion: Short duration of nighttime sleep and high social jetlag are risk factors for dyslipidemia, whereas the late type and the longer time interval between the last meal and sleep onset appear to be protective factors for dyslipidemia.
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9. |
- He, Jia, et al.
(author)
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Socially Desirable Responding : Enhancement and Denial in 20 Countries
- 2015
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In: Cross-cultural research. - : SAGE Publications. - 1069-3971 .- 1552-3578. ; 49:3, s. 227-249
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Journal article (peer-reviewed)abstract
- This article investigated the dimensionality, measurement invariance, and cross-cultural variations of social desirability. A total of 3,471 university students from 20 countries completed an adapted version of the Marlowe-Crowne scale. A two-dimensional structure was revealed in the pooled sample, distinguishing enhancement (endorsement of positive self-description) and denial (rejection of negative self-description). The factor structure was supported in most countries; medium-sized item bias was found in two denial items. In a multilevel analysis, we found that (a) there was more cross-cultural variation in denial than enhancement; (b) females tended to score higher on enhancement whereas males tended to score higher on denial; (c) the Human Development Index, an indicator of country socioeconomic development, was the best (negative) predictor of denial; and (d) both enhancement and denial seemed to be associated with country-level values and personality pertinent to fitting in. We conclude that social desirability has a positive and a negative impression management dimension that are meaningfully associated with country-level characteristics, and we argue that social desirability is better interpreted as culturally regulated response amplification.
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10. |
- Hyde, K. D., et al.
(author)
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Global consortium for the classification of fungi and fungus-like taxa
- 2023
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In: MYCOSPHERE. - : Mushroom Research Foundation. - 2077-7000 .- 2077-7019. ; 14:1, s. 1960-2012
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Journal article (peer-reviewed)abstract
- The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, 'to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation', or 'are there too many genera in the Boletales?' and even more importantly, 'what should be done with the tremendously diverse 'dark fungal taxa?' There are undeniable differences in mycologists' perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based on scientific evidence with regards to nomenclature, classifications, and taxonomic concepts will be welcomed, and any recommendations on specific taxonomic issues will also be encouraged; however, we will encourage professionally and ethically responsible criticisms of others' work. This biannual ongoing project will provide an outlet for advances in various topics of fungal classification, nomenclature, and taxonomic concepts and lead to a community-agreed classification scheme for the fungi and fungus-like taxa. Interested parties should contact the lead author if they would like to be involved in future outlines.
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