238 research outputs found
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Benno von Wiese
No full textThe author have researched the history of science, scholarship and German studies, with particular focus on the career of the influential German literary scholar Benno von Wiese (1903-1987). The book on von Wiese deals with his supportive yet ambivalent role during National Socialism from 1933-1945 and how he dealt with this (personal and collective German) period in post-war Germany
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No full textThis volume seems to replicate "Happy Hours in Storyland" from 1963/68 and from 1970/81. The verso of the title-page acknowledges the second but not the first. As I mention of the former, sixteen fables of Aesop and a few other fables start off this volume. The editor of these versions is not acknowledged. The illustrations are a third set for Aesop by Kurt Wiese (Favorite Stories, 1942; Jacobs' The Fables of Aesop, 1950/62).This is a hardbound book (hard cover)Fourth printingNo Autho
The Bookshelf for Boys and Girls, Volume 2
No full textSixteen fables of Aesop and a few other fables start off this volume. The editor of these versions is not acknowledged. The illustrations are a third set for Aesop by Kurt Wiese (Favorite Stories, 1942; Jacobs' The Fables of Aesop, 1950/62). The frontispiece is a strong full-page colored depiction of FC by Bess B. Cleveland. I believe that I have seen it somewhere else as frontispiece, but I cannot place it. Compare the smaller version of the same illustration in The Home University Bookshelf, Volume III, 380 (1945). See the identical new edition of 1970/81.This is a hardbound book (hard cover)Editorial Board of the University Societ
A theory of the engagement in open source projects via summer of code programs
No full textSummer of code programs connect students to open source software (OSS) projects, typically during the summer break from school. Analyzing consolidated summer of code programs can reveal how college students, who these programs usually target, can be motivated to participate in OSS, and what onboarding strategies OSS communities adopt to receive these students. In this paper, we study the well-established Google Summer of Code (GSoC) and devise an integrated engagement theory grounded in multiple data sources to explain motivation and onboarding in this context. Our analysis shows that OSS communities employ several strategies for planning and executing student participation, socially integrating the students, and rewarding student’s contributions and achievements. Students are motivated by a blend of rewards, which are moderated by external factors.We presented these rewards and the motivation theory to students who had never participated in a summer of code program and collected their shift in motivation after learning about the theory. New students can benefit from the former students’ experiences detailed in our results, and OSS stakeholders can leverage both the insight into students’ motivations for joining such programs as well as the onboarding strategies we identify to devise actions to attract and retain newcomers.Jefferson Silva, Igor Wiese, Daniel M. German, Christoph Treude, Marco Aurélio Gerosa, Igor Steinmache
Design for happiness-enhancing activities: Development of design strategies for the activities of learning to forgive and avoiding overthinking
No full textThis research-by-design project provides designers with new strategies to design for sustained well-being.Positive activities have been proposed as the most promising starting point to improve well-being (Wiese et al., 2020). Currently, 14 activities have been identified (Lyubomirsky, 2007; Wiese et al., 2019). Avoiding overthinking and learning to forgive were chosen to design for in this project, as few existing products meaningfully support people in engaging in these activities. The Vision in Design approach (Hekkert & van Dijk, 2011) was applied to construct future world views of both activities, in order to create meaningful design goals. Two design strategies were developed for both activities and evaluated by PhD candidates and a design practitioner. This concluded that the strategies meet most of the requirements of a strategy (Wiese et. al., 2020), and could support designers. Recommendations to improve the strategies were composed and presented in the report. The conducted research and developed strategies contributed to existing knowledge by showing how designers can promote sustained well-being on an activity level. Further research should be conducted with more designers to evaluate the strategies’ usefulness in practice more extensively. Design for Interactio
Integration of geological and geophysical data of different quality into the stochastic description of aquifers
No full textMany of the present problems in hydrogeology such as old waste disposal sites and the risk of the infiltration of contaminated riverwater concern the protection of groundwater. Solutions of qualitative and quantitative, site-specific groundwater problems require the knowledge of the site-specific heterogeneity of the subsurface. Therefore, (1) descriptive, (2) structure-imitating, and (3) process-imitating methods are combined: (1) Sedimentlogical and geophysical data – outcrop, drill-core, and georadar data – are combined in a lithofacies-based interpretation and processed to be used for stochastic simulations of sedimentary structures. This interpretation respects differences in data uncertainty and provides lithofacies probabilities for points along boreholes and grid nodes with arbitrary mesh sizes along georadar sections. The estimation of probabilities that drill-core layer descriptions and radarfacies patterns represent specified lithofacies types is based on the significance of the information included in drill-core layer descriptions and the structural information of radarfacies patterns. The specification of the lithofacies types is based on outcrop data. (2) GEOSSAV (Geostatistical Environment fOr Subsurface Simulation And Visualization) has been developed for the integration of hard and soft data into the stochastic simulation and visualization of distributions of geological structures and hydrogeological properties in the subsurface. GEOSSAV, an interface to selected geostatistical modules (bicalib, gamv, vargplt, and sisim) from the Geostatistical Software LIBrary, GSLIB (Deutsch and Journel, 1998), can be used for data analysis, variogram computation of regularly or irregularly spaced data, and sequential indicator simulation of subsurface heterogeneities. Sequential indicator simulation, based on various kriging techniques (simple, ordinary, and Bayesian), is suitable for the simulation of either continuous variables such as hydraulic conductivity of an aquifer or chemical concentrations at a contaminated site, or categorical variables which indicate the presence or absence of a particular lithofacies. Export options for finite-difference groundwater models allow either files that characterize single model layers or files that characterize the complete 3D flow model set-up for MODFLOW-based groundwater simulation systems. GEOSSAV has been successfully tested on Microsoft Windows NT 4.0/2000/XP and on SuSE Linux 7.3. The current version is available at http://www.unibas.ch/earth/pract. (3) The developed lithofacies-based interpretation of geological and geophysical data and the software GEOSSAV was applied on a field example in the groundwater recharge and production area Lange Erlen, a formerly braided river environment near Basel, Northwestern Switzerland. Two different groundwater models are used to simulate a capture zone of a well located near the infiltrating river Wiese, depending on the hydrological variations (river discharge, hydraulic conductivity of the riverbed), the water supply operation, the progress of river restoration, and the heterogeneity of the subsurface. A deterministic, large-scaled groundwater model (1.8 km x 1.2 km) is used to simulate the average behavior of groundwater flow and advective transport. It is also used to assign the hydraulic boundary conditions for a small-scaled groundwater model (550 m x 400 m), which relies on stochastically generated aquifer properties based on sitespecific drill-core and georadar data. The stochastic approach in the small-scaled groundwater model does not lead to a clearly defined well capture zone, but to a well capture zone distribution reflecting the uncertainty of the knowledge of the aquifer parameters. The developed methods and tools allow the integration of geological and geophysical data of different quality into the stochastic description of aquifers. They can be used, e.g., to define and evaluate groundwater protection zones in heterogeneous aquifers associated with infiltration from rivers under changing boundary conditions and under the uncertainty of subsurface heterogeneity
Comparing communication and development networks for predicting file change proneness: An exploratory study considering process and social metrics
No full textPrevious studies have shown that social factors of software engineering influence software quality. Communication and development networks represent the interactions among software developers. We explored the statistical relationships between file change proneness and a set metrics extracted from the issue tracker and version control system data to find the relative importance of each metric inunderstanding the evolution of file changes in the Rails project. Using hierarchical analysis, we found that code churn, number of past changes, and number of developers explain the evolution of changes in the Rails project better than Social NetworkAnalysis (SNA) metrics. Considering the relative importance of each predictor, wegot the same results. We also conducted a factor analysis and found that social metrics contribute to explain a group of files different from those explained by process metrics
Quality Gatekeepers: Investigating the Effects ofCode Review Bots on Pull Request Activities
No full textSoftware bots have been facilitating several development activities in Open
Source Software (OSS) projects, including code review. However, these bots may
bring unexpected impacts to group dynamics, as frequently occurs with new
technology adoption. Understanding and anticipating such effects is important
for planning and management. To analyze these effects, we investigate how
several activity indicators change after the adoption of a code review bot. We
employed a regression discontinuity design on 1,194 software projects from
GitHub. We also interviewed 12 practitioners, including open-source maintainers
and contributors. Our results indicate that the adoption of code review bots
increases the number of monthly merged pull requests, decreases monthly
non-merged pull requests, and decreases communication among developers. From
the developers' perspective, these effects are explained by the transparency
and confidence the bot comments introduce, in addition to the changes in the
discussion focused on pull requests. Practitioners and maintainers may leverage
our results to understand, or even predict, bot effects on their projects
A comparison of rosseland-mean opacities from op and opal
No full textMonochromatic opacities from the Opacity Project (OP) have been augmented by hitherto missing inner-shell contributions. OP Rosseland-mean opacities, κR, are compared with results from OPAL for the six elements H, He, C, O, S and Fe. The OPAL data are obtained from the project's website. Agreement for H is close everywhere except for the region of log(T) 6 and log(R) −1 (R=ρ/T36 where ρ is mass density in g cm3 and T6= 106×T with T in K). In that region κR(OPAL) is larger than κR(OP) by up to 13 per cent. The differences are caused by different equations of state (EOS). In the region concerned, OP has the H ground state undergoing dissolution, leading to a small H-neutral ionization fraction, while OPAL has larger values for that fraction. A similar difference occurs for He at log(R) −1 and log(T) 6.4, where OP has the He+ ground state undergoing dissolution. The OPAL website does not provide single-element Rosseland means for elements other than H and He. Comparisons between OP and OPAL are made for mixtures with X= 0.9, Z= 0.1 and Z containing pure C, O or S. There are some differences: at the lower temperatures, say log(T) ≤ 5.5, owing to differences in atomic data, with the OP R-matrix data probably being the more accurate; and at higher temperatures mainly owing to differences in level populations resulting from the use of different EOS theories. In the original OP work, R-matrix data for iron were supplemented by data obtained using the configuration-interaction (CI) code superstructure. The experiment is made of replacing much of the original iron data with new data from the CI code autostructure. Inclusion of intercombination lines gives an increase in κR of up to 18 per cent. The OPAL website does not allow for Z containing pure iron. Comparisons are made for an iron-rich mixture, X= 0.9, Z= 0.1 and Z containing C and Fe with C:Fe = 2:1 by number fraction. There are some differences between OP and OPAL for that case: the OP 'Z-bump' in κR is shifted to slightly higher temperatures, compared with OPAL. Overall, there is good agreement between OP and OPAL Rosseland-mean opacities for the six elements, but there are some differences. Recent work has shown that helioseismology measurements give a very accurate value for the depth of the solar convective zone, RCZ, and that, taking account of recent revisions in abundances, solar models give agreement with that value only if opacities at RCZ are about 20 per cent larger than OPAL values. For the six-element mix at RCZ we obtain κR(OP) to be larger than κR(OPAL) by 5 per cent
Who is who in the mailing list? Comparing six disambiguation heuristics to identify multiple addresses of a participant
No full textMany software projects adopt mailing lists for the communication of developers and users. Researchers have been mining the history of such lists to study communities' behavior, organization, and evolution. A potential threat of this kind of study is that users often use multiple email addresses to interact in a single mailing list. This can affect the results and tools, when, for example, extracting social networks. This issue is particularly relevant for popular and long-term Open Source Software (OSS) projects, which attract participation of thousands of people. Researchers have proposed heuristics to identify multiple email addresses from the same participant, however there are few studies analyzing the effectiveness of these heuristics. In addition, many studies still do not use any heuristics for authors' disambiguation, which can compromise the results. In this paper, we compare six heuristics from the literature using data from 150 mailing lists from Apache Software Foundation projects. We found that the heuristics proposed by Oliva et al. and a Naïve heuristic outperformed the others in most cases, when considering the F-measure metric. We also found that the time window and the size of the dataset influence the effectiveness of each heuristic. These results may help researchers and tool developers to choose the most appropriate heuristic to use, besides highlighting the necessity of dealing with identity disambiguation, mainly in open source software communities with a large number of participants.Igor Scaliante Wiese, José Teodoro da Silva, Igor Steinmacher, Christoph Treude, Marco Aurélio Geros
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