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Evaluation der Wissens- und Lernplattform «Zaza Care» – Zahnmedizin für Kinder mit Behinderungen
Full text linkHow do street-level organisations adapt to a new policy framework?: Evidence from a Swiss canton
Full text linkThis article examines how street-level organisations (SLO) respond to new legal framework conditions after regulatory reform.Organisational response to a changed legal framework is key to understand implementation resilience as established organisational practice may collide with new legal obligations. Our cases are four family support and child protection organisations in a Swiss canton facing new legislation. These SLO and their personnel are strongly committed to their clientele and thus cannot simply adapt to new legislation. The study shows how the organisations perceive their discretion in the implementation of the new policy framework, the accountabilities they are bound by, and the way they cope with divergent requirements and conflicting priorities given their dependence on the regulator as commissioner of their work. SLO differ in their strategies for dealing with the new legal framework depending on the economic context in which they operate, in particular if they act as mainly privately run organisations
Hospital at Home Arlesheim
Full text linkHospital at Home (HaH): Ein Modell der integrierten Versorgung beginnt in der Schweiz Fuss zu fassen und kann mittels tiefer digitaler Transformation sein volles Potenzial entfalten. Ein Interview aus der Praxis
Eine ökonomische Perspektive auf Lebensstil-Interventionen
Full text linkMit massgeschneiderten Empfehlungen für ihren Lebensstil könnten Angestellte motiviert werden, in ihrem Alltag kleine, aber wirkungsvolle Veränderungen vorzunehmen. Lebensstil-Interventionen können die Gesundheit langfristig verbessern und damit zu tieferen Gesundheitskosten beitragen. Digitale Lebensstil-Interventionen sind vielversprechend, aber wie nachhaltig sind freiwillige Massnahmen? Und wie soll das finanziert werden? Drei ökonomische Thesen zum Einsatz von Lebensstil-Interventionen
Interpretation of probability in structural safety – A philosophical conundrum
No full textThe term probability is essential in the domain of structural safety and yet its interpretation is, even after more than 50 years of application, still a subject of discussion. For instance, the probability of failure of structures belonging to the same cohort for a specific period of time, is often understood in a pure frequentist way as an observable average number of failure events for that period and portfolio. By contrast, the Bayesian interpretation considers probability as a degree of belief and a reflection of the state of information to the best belief or knowledge of the decision maker. In the field of structural reliability, depending on the type of decision problem, probabilities are often referred to as nominal (or notional) measures of uncertainty to emphasize that these values are conditional on a model and available observations. Probabilistic methods then serve primarily to undertake the book-keeping required to assign probabilities to different possible outcomes or decisions in consistency with models, available observations and other relevant information. This paper discusses the background of these interpretations and the degree to which correspondence between reliability calculations and observations of failures can be expected and/or achieved. Recommendations corresponding to the JCSS line of thinking will be summarized in Section 8
Towards a new PhD Curriculum for Digital Finance
Full text linkThe rapidly evolving field of Digital Finance necessitates a new, interdisciplinary approach to doctoral training. This manuscript presents a comprehensive curriculum designed to equip early-stage researchers with the skills and knowledge required to navigate the complexities of modern finance. The curriculum is structured around four pillars: Training through Research and Mandatory Scientific Training, Advanced Scientific Training, Transferable Skills Training, and Training through Secondments. Together, these pillars provide a balanced mix of theoretical knowledge, practical experience, and soft skills. The program also emphasizes international collaboration through conferences and offers online courses for accessibility and sustainability. By addressing key challenges such as data quality, deployment of complex models, trust in AI-supported products, and labor shortages, the program aims to foster innovation and competitiveness in the European Finance industry. The curriculum's alignment with the European Digital Finance Package and integration with leading institutions ensures its relevance and potential for significant impact
Are Entrepreneurial Intentions and Open Innovation complements or substitutes for eliciting activities towards the market commercialization of academic breakthrough technologies?
Full text linkThis paper investigates the interplay between open innovation activities and entrepreneurial intentions in the commercialization process of research results originating from academia. Through qualitative case study research, we identify theoretical mechanisms through the qualitative analysis of five case studies. Our results show that inbound and coupled open innovation activities compensate for lower entrepreneurial intentions among academically oriented scientists. However, establishing partnerships remains challenging, particularly in pre-prototyping phases. Nevertheless, our findings point towards social entrepreneurial intentions as fruitful avenues for stimulating entrepreneurial behaviour in academic scientists
Hybrid Machine Learning – When Little Data is Available
No full textThe prediction of wear conditions in production are worth hard cash. In highly productive plants, which are common today, even smaller extensions of the production intervals lead to considerable cost reductions.
With the machine learning tools that are available today, it is relatively easy to develop predictions. These tools are partly even free, but especially for the deep learning algorithms a lot of data is needed. However, are usually not enough data sets available, because the processes are so efficient that only a low wear is present and certain wear patterns occur only rarely.
This is where Hybrid Machine Learning comes in. Since in engineering certain relations can be described well by physical clothing, but usually the boundary conditions and certain operating parameters are not known exactly, one can develop models that are based partly on physical descriptions partly on machine learning
Diurnal variation of heart rate variability in individuals with spinal cord injury
Full text linkBackground: Heart rate variability (HRV) may provide objective information
about cardiogenic autonomic balance in individuals with spinal cord injury (SCI). The
aim of this study was to characterize the diurnal variation of HRV in individuals with SCI
at lesion level T6 and above and lesion level below T6.
Methods: This was a retrospective analysis of a prior cross-sectional study. Individuals
with chronic SCI underwent 24 h recording of the time between consecutive R waves
(RR interval) to derive parameters of HRV as follows: standard deviation of all normalto-
normal R–R intervals (SDNN) and square root of the mean of the squared differences
between successive R–R intervals (RMSSD) (time domain); and high frequency power
(HF), low-frequency power (LF), very low frequency power (VLF), ultra-low frequency
power (ULF) and total power (TP) (frequency domain). Changes in the magnitude
of HRV outcomes over the 24 h period were investigated using a novel multi-component
cosinor model constrained to the form of a three-harmonic Fourier series.
Results: Participants were grouped as lesion level T6 and above (n = 22) or below T6
(n = 36). Most of them were male (n = 40, 69 %) and the median age (interquartile
range) was 50.5 (28) years. Both groups exhibited similar diurnal patterns in most
HRV metrics. The lowest values occurred in the late afternoon (4–6 pm) and gradually
increased, peaking around midnight to early morning (1–6 am). Exceptions included
RMSSD, which peaked before midnight, and ULF, which showed a double peak pattern
that peaked from 11 am to 1 pm and 4–6 am in participants with lesion level at T6
and above. The HRV values in participants with lesion level T6 and above were generally
lower than participants with lesion level below T6, except for peak values of RMSSD,
HF and LF.
Conclusion: This study demonstrated substantial diurnal variation of HRV in participants
with SCI in both groups of participants. In clinical and research settings, diurnal
variations in HRV must be taken into consideration