Article
Refine
Year of publication
- 2024 (16)
- 2023 (59)
- 2022 (75)
- 2021 (80)
- 2020 (93)
- 2019 (95)
- 2018 (83)
- 2017 (72)
- 2016 (78)
- 2015 (83)
- 2014 (93)
- 2013 (96)
- 2012 (80)
- 2011 (128)
- 2010 (119)
- 2009 (119)
- 2008 (102)
- 2007 (94)
- 2006 (86)
- 2005 (99)
- 2004 (131)
- 2003 (74)
- 2002 (92)
- 2001 (88)
- 2000 (84)
- 1999 (88)
- 1998 (82)
- 1997 (79)
- 1996 (70)
- 1995 (68)
- 1994 (76)
- 1993 (51)
- 1992 (48)
- 1991 (25)
- 1990 (35)
- 1989 (38)
- 1988 (54)
- 1987 (32)
- 1986 (18)
- 1985 (32)
- 1984 (18)
- 1983 (17)
- 1982 (26)
- 1981 (18)
- 1980 (35)
- 1979 (23)
- 1978 (30)
- 1977 (14)
- 1976 (13)
- 1975 (10)
- 1974 (3)
- 1972 (2)
- 1971 (1)
- 1968 (1)
Document Type
- Article (3226) (remove)
Language
- English (3226) (remove)
Keywords
- Einspielen <Werkstoff> (7)
- avalanche (5)
- Earthquake (4)
- FEM (4)
- Finite-Elemente-Methode (4)
- LAPS (4)
- biosensors (4)
- field-effect sensor (4)
- frequency mixing magnetic detection (4)
- CellDrum (3)
- Heparin (3)
- Label-free detection (3)
- additive manufacturing (3)
- capacitive field-effect sensor (3)
- hydrogen peroxide (3)
- magnetic nanoparticles (3)
- shakedown analysis (3)
- snow (3)
- tobacco mosaic virus (TMV) (3)
- Acyl-amino acids (2)
Institute
- Fachbereich Medizintechnik und Technomathematik (1343)
- INB - Institut für Nano- und Biotechnologien (501)
- Fachbereich Chemie und Biotechnologie (466)
- IfB - Institut für Bioengineering (408)
- Fachbereich Elektrotechnik und Informationstechnik (401)
- Fachbereich Energietechnik (360)
- Fachbereich Luft- und Raumfahrttechnik (247)
- Fachbereich Maschinenbau und Mechatronik (147)
- Fachbereich Wirtschaftswissenschaften (106)
- Fachbereich Bauingenieurwesen (68)
- Solar-Institut Jülich (43)
- ECSM European Center for Sustainable Mobility (27)
- Sonstiges (21)
- Institut fuer Angewandte Polymerchemie (20)
- Freshman Institute (17)
- Nowum-Energy (16)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (15)
- Fachbereich Gestaltung (12)
- Fachbereich Architektur (9)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (5)
The scientific interest for near-Earth asteroids as well as the interest in potentially hazardous asteroids from the perspective of planetary defense led the space community to focus on near-Earth asteroid mission studies. A multiple near-Earth asteroid rendezvous mission with close-up observations of several objects can help to improve the characterization of these asteroids. This work explores the design of a solar-sail spacecraft for such a mission, focusing on the search of possible sequences of encounters and the trajectory optimization. This is done in two sequential steps: a sequence search by means of a simplified trajectory model and a set of heuristic rules based on astrodynamics, and a subsequent optimization phase. A shape-based approach for solar sailing has been developed and is used for the first phase. The effectiveness of the proposed approach is demonstrated through a fully optimized multiple near-Earth asteroid rendezvous mission. The results show that it is possible to visit five near-Earth asteroids within 10 years with near-term solar-sail technology.
Solidification of silver-germanium alloys in an amorphous matrix aboard the space station Mir
(1993)
Solution of plane anisotropic elastostatical boundary value problems by singular integral equations
(1982)
The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems.