25 research outputs found
How to evaluate sexual health in cancer patients:Development of the EORTC sexual health questionnaire for cancer patients
Background: The aim of the study is to describe the development of a comprehensive European Organisation for Research and Treatment of Cancer (EORTC) questionnaire to assess sexual health of female and male cancer patients and for cancer survivors. Methods: According to the EORTC guidelines, the development of an EORTC sexual health questionnaire is typically organised in four phases. The first phases comprise a literature search following interviews with patient and health care professionals (HCPs) (phase 1) and the operationalization into items (phase 2). The translation process is formally conducted according to the EORTC QLG Translation guidelines with a rigorous forward-backward procedure supported by native speakers. Results: Studies on sexuality in oncology patients which were identified by a literature search predominantly focused on issues of activity, experiences of sexual dysfunction, and satisfaction with sexual functioning. The literature review identified themes beyond these aspects. In total 53 potentially relevant issues were presented to 107 patients and 83 HCPs, different evaluations were found. Conclusions: A questionnaire that includes physical, psychological, and social aspects of sexuality of cancer survivors will be needed. Pre-testing and validation of the questionnaire will be done in future (phases 3 and 4). Divergent ratings of patients and professionals should be further investigated. Keywords: Cancer; sexual health; European Organisation for Research and Treatment of Cancer (EORTC) sexual health questionnair
Temporal logic control of a Van der Pol oscillator using a piecewise-affine abstraction
Software corresponding to the case study of a forced, stochastically perturbed Van der Pol oscillator as described in the paper "Temporal logic control of nonlinear stochastic systems using a piecewise-affine abstraction". In this paper we develop a method to automatically synthesize controllers for continuous-state nonlinear stochastic systems, while giving guarantees on the probability of satisfying (infinite-horizon) temporal logic specifications. Such methods crucially depend on abstractions with a quantified accuracy. For this similarity quantification, approximate stochastic simulation relations are often used. To handle the nonlinearity of the system effectively, we use finite-state abstractions based on piecewise-affine approximations together with tailored simulation relations that leverage the local affine structure. In the end, we synthesize a robust controller for a nonlinear stochastic Van der Pol oscillator
Reinforcement Learning for Robot Motion Planning Facilitated by Implicit Behavior Cloning and Dynamic Movement Primitive (IBC-DMP RL)
This dataset contains the programs to train and test the implicit behavior cloning (IBC) dynamic movement primitive (DMP) reinforcement learning (RL) agent for robot motion planning. It is associated with an under-reviewed journal paper with the same title. See ReadMe.md in the zip file for details
Raman studies of supported V, Cr and Sb oxides and their mechanical mixture with alpha-Bi2Mo3O12
The interaction between V-Sb or V-Cr-Sb oxides and alpha-Bi2Mo3O12 in mechanical mixtures during thermal treatments has been studied by laser Raman spectroscopy. Isolated V-Sb oxide and alpha-Bi2Mo3O12 remain unchanged up to above 600 degrees C. When mixed, V-related bands start to disappear and Bi-Mo-related bands widen already at 600 degrees C indicating some kind of interaction between them. The presence of Cr2O3 in the mixture speed up this interaction, leading to the formation of a new Bi-Mo-V-O compound at temperatures below 600 degrees C. (C) 2000 Elsevier Science B.V. All rights reserved
Dataset of Human Hand Motion Planning
This dataset contains 544 human hand motion trajectories in a point-to-point reaching experiment. The purpose of this dataset is to provide human demonstrations for imitation-learning- and reinforcement-learning -based robot motion planning. Refer to 'ReadMe.md' for the details about the format and usage of the dataset
SySCoRe (ARCH 2022)
Synthesis via Stochastic Coupling Relations (SysCoRe) for stochastic continuous-state systems
Decentralized Optimal Coverage Control for Constant-Speed Unicycle Multi-Agent Systems
This dataset contains the program code for the following publication: Liu, Qingchen, Zengjie Zhang, Nhan Khanh Le, Jiahu Qin, Fangzhou Liu, and Sandra Hirche. "Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems." IEEE Transactions on Automation Science and Engineering (2024). It can be used for coverage control of fixed-wing drones