Simulative development of the electronic component of Mössbauer spectroscopy with a focus on the controllability of a 2nd order transimpedance amplifier

In light-processing systems, light energy is converted into a photocurrent due to the photoelectric effect. This project focuses on the development of a high-precision energy-to-voltage conversion technique to optimize signal processing in light-processing systems, specifically for applications in space analytics or solid state physikcs, such as Mössbauer spectroscopy. Analog circuit development plays a vital role as downstream voltage conversion is necessary for signal processing. The objective is to enhance the signal quality and improve the signal-to-noise ratio through the design, optimization, and comparison of various circuits for voltage conversion. The development process involves the design and optimization of amplifier circuits, supplemented with the incorporation of filters and/or regulators for further improvement. A transimpedance amplifier is approximated as a second-order low-pass filter, while a state controller is designed and analyzed to efficient transient oscillation of the system towards optimal amplitude values for subsequent signal processing. The project's results contribute to the advancement of light-processing systems, enabling more precise analysis of light energy in Mössbauer spectroscopy. The findings are presented in a series of scientific publications, showcasing the effectiveness of the developed circuits and their impact on signal quality. Future work could focus on further optimization and validation of the circuits in real-world applications to confirm their performance and reliability. Overall, this project emphasizes the significance of meticulous circuit development and optimization for enhancing signal processing in light-processing systems, thus supporting their application in space analytics

Good Intentions: Adaptive Parameter Management via Intent Signaling

Parameter management is essential for distributed training of large machine learning (ML) tasks. Some ML tasks are hard to distribute because common approaches to parameter management can be highly inefficient. Advanced parameter management approaches -- such as selective replication or dynamic parameter allocation -- can improve efficiency, but to do so, they typically need to be integrated manually into each task's implementation and they require expensive upfront experimentation to tune correctly. In this work, we explore whether these two problems can be avoided. We first propose a novel intent signaling mechanism that integrates naturally into existing ML stacks and provides the parameter manager with crucial information about parameter accesses. We then describe AdaPM, a fully adaptive, zero-tuning parameter manager based on this mechanism. In contrast to prior systems, this approach separates providing information (simple, done by the task) from exploiting it effectively (hard, done automatically by AdaPM). In our experimental evaluation, AdaPM matched or outperformed state-of-the-art parameter managers out of the box, suggesting that automatic parameter management is possible

Prospects for comparing European hospitals in terms of quality and safety

Purpose. Being able to compare hospitals in terms of quality and safety between countries is important for a number of reasons. For example, the 2011 European Union directive on patients’ rights to cross-border health care places a requirement on all member states to provide patients with comparable information on health-care quality, so that they can make an informed choice. Here, we report on the feasibility of using common process and outcome indicators to compare hospitals for quality and safety in five countries (England, Portugal, The Netherlands, Sweden and Norway). Main Challenges Identified. The cross-country comparison identified the following seven challenges with respect to comparing the quality of hospitals across Europe: different indicators are collected in each country; different definitions of the same indicators are used; different mandatory versus voluntary data collection requirements are in place; different types of organizations oversee data collection; different levels of aggregation of data exist (country, region and hospital); different levels of public access to data exist; and finally, hospital accreditation and licensing systems differ in each country. Conclusion. Our findings indicate that if patients and policymakers are to compare the quality and safety of hospitals across Europe, then further work is urgently needed to agree the way forward. Until then, patients will not be able to make informed choices about where they receive their health care in different countries, and some governments will remain in the dark about the quality and safety of care available to their citizens as compared to that available in neighbouring countries

Modularisation Strategies for Individualised Precast Construction—Conceptual Fundamentals and Research Directions

Modular precast construction is a methodological approach to reduce environmental impacts and increase productivity when building with concrete. Constructions are segmented into similar precast concrete elements, prefabricated with integrated quality control, and assembled just-in-sequence on site. Due to the automatised prefabrication, inaccuracies are minimised and the use of high-performance materials is enabled. As a result, the construction process is accelerated, and the modules can be designed to be lightweight and resource-efficient. This contribution presents the fundamentals of modular constructions made from precast concrete components. Then, to elaborate the requirements of a contemporary modular precast construction, the historic developments are described. Further, concepts and technical processes–comprehensible to non-expert readers–are introduced to formalise the discussion about the current state-of-the-art methods. Three case studies treating ongoing research are introduced and related to the conceptual fundamentals. The research is evaluated with regard to current barriers and future directions. In conclusion, modular precast construction is able to reduce emissions and increase productivity in the sector if researchers and firms coordinate the development of suitable technologies that bring value to critical stakeholders

Prospects for comparing European hospitals in terms of quality and safety: lessons from a comparative study in five countries

Being able to compare hospitals in terms of quality and safety between countries is important for a number of reasons. For example, the 2011 European Union directive on patients' rights to cross-border health care places a requirement on all member states to provide patients with comparable information on health-care quality, so that they can make an informed choice. Here, we report on the feasibility of using common process and outcome indicators to compare hospitals for quality and safety in five countries (England, Portugal, The Netherlands, Sweden and Norway)