Refine
Year
- 2018 (1080) (remove)
Publication Type
- Article (277)
- Lecture (198)
- Bachelor Thesis (161)
- Part of a Book (125)
- Conference Proceeding (102)
- Master's Thesis (77)
- Book (66)
- Report (54)
- Contribution to a Periodical (15)
- Participation in a Norm (DIN, RFC etc.) (4)
- Other (1)
Language
- German (690)
- English (355)
- Multiple languages (33)
- French (1)
- Spanish (1)
Keywords
- Münster (23)
- Umnutzung (21)
- Nachhaltigkeit (18)
- Digitalisierung (15)
- demografischer Wandel (11)
- Flexibilität (10)
- Material (10)
- Sanierung (10)
- Münsterland (9)
- Wohnraum (9)
Faculty
- Architektur (MSA) (178)
- Sozialwesen (SW) (164)
- Wirtschaft (MSB) (145)
- Chemieingenieurwesen (CIW) (90)
- Gesundheit (MDH) (90)
- Energie · Gebäude · Umwelt (EGU) (69)
- Physikingenieurwesen (PHY) (67)
- Studiengang Soziale Arbeit (63)
- IBL (61)
- Oecotrophologie · Facility Management (OEF) (61)
- Bauingenieurwesen (BAU) (36)
- Elektrotechnik und Informatik (ETI) (24)
- Wandelwerk. Zentrum für Qualitätsentwicklung (23)
- ITB (21)
- Maschinenbau (MB) (18)
- Design (MSD) (15)
- Center for Real Estate & Organization Dynamics (10)
- iSuN Institut für Nachhaltige Ernährung (10)
- keine Zuordnung (6)
- Kompetenzzentrum Humanitäre Hilfe (2)
- Bachelor Soziale Arbeit online (Basa-online) (1)
- Master Jugendhilfe (1)
Persistent feelings of gender dysphoria (GD) are accompanied by distress and body dissatisfaction in most clinically referred adolescents and adults. Transition-related medical interventions (e.g., puberty suppression, hormones, or surgery) may alleviate body dissatisfaction. The aim of the present cross-sectional study was to compare multidimensional body image across clinically referred adolescents and adults undergoing different transition-related medical interventions. Two clinical samples of adolescents (n = 82) and adults (n = 120) referred to specialized departments of four different transgender health services in Germany participated in the study. In total, 202 individuals from the female-to-male (FtM individuals) and male-to-female (MtF individuals) spectrum aged 14-74 years were included at different stages of their transition. Four scales assessing multidimensional aspects of body image (measured by the Body Image Assessment Questionnaire, FBeK) were compared across three groups: sample, gender, and medical interventions (while controlling for age and treatment duration). The results indicated less favorable body image scores compared with the norm in both adolescents and adults with GD. Individuals who had undergone transition-related medical interventions presented a significantly better body image on two of the four scales. Differences according to gender and age were also present. These findings suggest that medical interventions, especially gender-affirming hormones and surgery, are generally beneficial to the body image in individuals with GD. However, not all of the less favorable outcomes in multidimensional body image were positively influenced by the treatment conditions and may thus benefit from additional integrative counseling before and during transition.
In this paper, we scrutinise the sharing economy from a moral householding perspective and evaluate the moral justifications for a sustainable form of the sharing economy. We consider the emergence of normative moral justifications through householding practices that rest on local mobilisation of people in defence of communities and commitments against the adverse impacts of neoliberal market capitalism.
Our perspective draws on Karl Polanyi's conceptualisation of householding, that is, autarchic, communistic provision in a closed community. Using timebanking as an example, we illustrate how a moral sharing economy can be mobilised in collective battles against the current neoliberal system of economic crisis. We contribute to the amassing sharing economy literature emphasising a central, yet missing element of the current discourse: householding as practices creating self-sufficiency and autonomy as well as combining both kin and stranger.
Teaching People to program is a crucial requirement for our society to deal with the complexity of 21st-century challenges. In many teaching systems, the student is required to use a particular programming language or development environment. This paper presents an intelligent tutoring system to support blended learning scenarios, where the students can choose their programming language and development environment. For that, the system provides an interface where the students request test data and submit results to unit test their algorithms. The submitted results are analyzed by a machine learning system that detects common errors and provides adaptive feedback to the student. With this system, we are focusing on teaching algorithms rather than specific programming language semantics. The technical evaluation tested with the implementation of Mean and Median algorithm shows that the system can distinguish between error cases with an error rate under 20%. A first survey, with a small group of students, shows that the system helps them detect common errors and arrive at a correct/valid solution. We are in the process of testing the system with a larger group of students for gathering statistically reliable data.
Abrasion in a concrete-lined sediment bypass tunnel is estimated using a Japanese state-of-the-art prediction model and validated by measured invert abrasion data at Asahi Reservoir, Japan. The model is described in detail, certain shortcomings are disclosed, and a revised version is proposed. The model consists of a kinetic energy term accounting for the impact by saltating particles, and a friction work term accounting for the grinding stress. It is found that the latter term yields concrete abrasion values being consistently a multiple compared to its kinetic term contradicting other research. Based on that, and a possible particle impact angle inconsistency, it is proposed to omit the friction work term. It is shown that the calculated abrasion is overestimated by 138% on average compared with that measured, if both terms are accounted for. However, promising results are obtained with only 30% overestimation by neglecting the friction work term.
This paper focusses on effective teaching and learning methods in the context of a larger project that aims to align objectives in higher education with employer requirements in the field of purchasing and supply management (PSM). The reason is that little is known about which specific skills and competencies of PSM professionals are needed outside academia and which learning objective higher education should incorporate to meet the practical PSM requirements of firms and organisations. Practice as well as literature share the understanding that PSM professionals need a well-balanced mixture of knowledge and soft-skills: the merely explicit know-what (codified knowledge), know-why (theory), know-how (method) and inter- & intrapersonal soft skills.
Active optics is an enabling technology for future large space telescopes. Image-based wavefront control uses an image-sharpness metric to evaluate the optical performance. A control algorithm iteratively adapts a corrective element to maximize this metric, without reconstructing the wavefront. We numerically study a sharpness metric in the space of Zernike modes, and reveal that for large aberrations the Zernike modes are not orthogonal with respect to this metric. The findings are experimentally verified by using a unimorph deformable mirror as
corrective element. We discuss the implications for the correction process and the design of control algorithms.
To achieve the sustainable use of dams, the development of methods for sediment management in reservoirs is required. One such method includes the use of Sediment Bypass Tunnels (SBTs) to divert sediment around a dam, thereby preventing sedimentation in the reservoir. However, SBTs are prone to severe invert abrasion caused by the high sediment flux. Therefore, it is necessary to establish a measurement system of the sediment transport rate in these tunnels. One system to measure sediment transport in rivers is the Swiss plate geophone, which can register plate vibrations caused by particle impact. In Japan, the Japanese pipe microphone is used, and sediment transport is measured based on the sound emitted by the particle impact. In this study an attempt was made to optimize the advantages of both systems by fixing a microphone and an acceleration sensor to a steel plate. The results of calibration experiments with this new system are presented and compared with the existing methods. It was found that the acceleration sensor can detect sediment particles larger than 2 mm in diameter. Moreover, a new parameter, referred to as the detection rate, was introduced to describe the correlation between the actual amount of sediment and the registered output. Finally, two parameters - the saturation rate and hit rate - are introduced and exhibit strong correlation with the detection rate.