The aim of this pilot study was to investigate the effects of an intervention consisting of mental coaching combined with either electro encephalogram (EEG) alpha power feedback or heart rate variability (HRV) feedback on HRV, EEG outcomes and self-reported factors related to stress, performance, recovery and sleep quality in elite athletes. A prospective pilot study was performed with two distinct cohorts. Soccer players were provided with four sessions of mental coaching combined with daily HRV biofeedback (Group A); track and field athletes were provided with four sessions of mental coaching in combination with daily neurofeedback (Group B). Measurements were performed at baseline, post intervention and at 5 weeks follow-up. Objective measures: EEG and ECG. Subjective measures: Numeric Rating Scale for performance, Pittsburgh Sleep Quality Index, Rest and Stress Questionnaire and Sports Improvement-60. Group characteristics were too distinct to compare the interventions. Linear mixed models were used to analyze differences within groups over time. In Group A, significant changes over time were present in alpha power at 5 of 7 EEG locations (p < 0.01–0.03). LF/HF ratio significantly increased (p = 0.02) and the concentration (p = 0.02) and emotional scale (p = 0.03) of the SIM-60 increased significantly (p = 0.04). In Group B, the HRV low frequency power and recovery scale of the REST-Q significantly increased (p = 0.02 and <0.01 resp.). Other measures remained stable or improved non-significantly. A mental coaching program combined with either HRV or EEG alpha power feedback may increase HRV and alpha power and may lead to better performance-related outcomes and stress reduction. Further research is needed to elucidate the effects of either type of feedback and to compare effects with a control group.

Abstract. Business process modelling and analysis puts specific requirements on models used and the language for expressing those models. The models should be easily understandable and analysable. In this paper we study the requirements for such a language and introduce a language that satisfies those requirements to a large extent. It was developed in the Testbed project, which aims at developing a systematic approach to business process change. The language, called AMBER, has a graphical representation, and allows to model processes, data, and the organisation and people involved in a uniform and integrated way. On the basis of a formal foundation of the language, different analyses and tool support are available. We illustrate our approach with a realistic example.

XoSoft is an EU project that proposes the development of a modular soft lower-limb exoskeleton to assist people with mobility impairments. It aims to be user friendly and comfortable to wear, with a significant impact on the person's mobility and health, on their independence and quality of life. Being a modular system, it comprises of ankle, knee and hip elements, which can be used individually or combined and used unilaterally or bilaterally.XoSoft follows a user centered design strategy achieved by involving primary, secondary and tertiary end users as participatory stakeholders in the design and

Engineers are trained to design systems such as bridges, computers, and aircraft in a well-structured manner. However, the design of business processes has not yet matured to this level. We argue that the complexity of business processes is the major cause. In this paper, we investigate the causes of this complexity, and provide heuristics to master this complexity. Business process "architecting," the high-level, functional design of business processes, is more an art than a science. Consequently, experience is very important. The heuristics we provide are based on an analysis of the reasons why business process architecting is so complex as well as our experience resulting from the Testbed project, a cooperative project of industry and research organizations. We conclude by discussing some basic requirements for modeling concepts and methods.

In order to obtain the performance required for nonstandard database environments, we need suitable storage structures f o r complex objects. I n this paper we use a n hierarchical complex object model with object references. W e describe several storage models for these complex objects, as well as a benchmark to evaluate their performance. W e develop a cost model f o r analytical performance evaluation, and validate the analytical results by means of measurements o n the DASDBS complex object storage system. The results show which storage structures f o r complex objects are the most eficient under which circumstances. 'The investigations were partly supported by the Foundation for Computer Science in the Netherlands SION under project 612-317-025 nicknamed Starfish.