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Heat treatment in health and disease: How water-filtered infrared-A (wIRA) irradiation affects key cellular mechanisms in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) patients compared to healthy donors

Heat treatment or hyperthermia is a promising therapy for many diseases, especially cancer, and can be traced back thousands of years. Despite its long history, little is known about the cellular and molecular effects of heat on human cells. Therefore, we investigated the impact of water-filtered infrared-A (wIRA) irradiation (39 °C, 60 min) on key cellular mechanisms, namely autophagy, mitochondrial function and mRNA expression, in human fibroblasts and peripheral blood mononuclear cells (PBMCs) from healthy donors and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) patients. Our results show an induction of autophagy in healthy fibroblasts and PBMCs from healthy donors and ME/CFS patients. ME/CFS patients have higher mitochondrial function compared to healthy donors. The wIRA treatment leads to a slight reduction in mitochondrial function in PBMCs from ME/CFS patients, thereby approaching the level of mitochondrial function of healthy donors. Furthermore, an activation of the mRNA expression of the autophagy-related genes MAP1LC3B and SIRT1 as well as for HSPA1, which codes for a heat shock protein, can be observed. These results confirm an impact of heat treatment in human cells on key cellular mechanisms, namely autophagy and mitochondrial function, in health and disease, and provide hope for a potential treatment option for ME/CFS patients.

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Effect of Abiotic Treatments on Agricultural Plastic Waste: Efficiency of the Degradation Processes.

In this study, four different plastic materials usually used in the agricultural sector (polystyrene film (PS), polyethylene terephthalate film (PET), low-density polyethylene film (LDPE) and linear low-density polyethylene film (LLDPE)) were subjected to different abiotic treatments, including photo-oxidation (ultraviolet and e-beam radiation) and thermochemical treatments, to enhance polymer degradation. The extensive use of these polymers leads to large amounts of plastic waste generation, including small plastic pieces, known as microplastics, which affect the quality of the agricultural environment, including soil fertility and quality. Therefore, polymer degradation strategies are needed to effectively reduce plastic waste to protect the agricultural sector. The degree of polymer degradation was assessed by the use of thermal and spectroscopic analyses, such as TGA and FTIR. In addition, efficiency, cost-benefits, and potential side-effects were also evaluated to propose the optimal degradation strategy to reduce plastic waste from the point of view of efficiency. The results obtained showed that the pre-treatments based on photo-oxidation (ultraviolet B and C and e-beam radiation) were more efficient and had a better cost-benefit for the degradation of the polymers studied in relation to the thermochemical treatments. Specifically, ultraviolet photo-oxidation worked well for PS and PET, requiring low energy and medium times. However, e-beam radiation was recommended for PE (LDPE and LLDPE) degradation, since high energy and long times were needed when ultraviolet energy was applied to this polymer. Furthermore, the overall efficiency of the plastic degradation of pre-treatments should be studied using a multicriteria approach, since FTIR assessments, in some cases, only consider oxidation processes on the plastic surface and do not show the potential integrity changes on the plastic probes.

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Open Access
Can I benefit from laboratory automation? A decision aid for the successful introduction of laboratory automation

The large volumes of samples to be analysed every day would be impossible to manage without laboratory automation. As laboratory procedures have progressed, so have the tasks of laboratory personnel. With this feature article, we would like to provide (bio)chemical practitioners with little or no knowledge of laboratory automation with a guide to help them decide whether to implement laboratory automation and find a suitable system. Especially in small- and medium-sized laboratories, operating a laboratory system means having bioanalytical knowledge, but also being familiar with the technical aspects. However, time, budget and personnel limitations allow little opportunity for personnel to get into the depths of laboratory automation. This includes not only the operation, but also the decision to purchase an automation system. Hasty investments do not only result in slow or non-existent cost recovery, but also occupy valuable laboratory space. We have structured the article as a decision tree, so readers can selectively read chapters that apply to their individual situation. This flexible approach allows each reader to create a personal reading flow tailored to their specific needs. We tried to address a variety of perspectives on the topic, including people who are either supportive or sceptical of laboratory automation, personnel who want or need to automate specific processes, those who are unsure whether to automate and those who are interested in automation but do not know which areas to prioritize. We also help to make a decision whether to reactivate or discard already existing and unused laboratory equipment.

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Open Access
An expandable voice user interface as lab assistant based on an improved version of Google’s speech recognition

Voice assistants are potentially helpful when working in a scientific laboratory. A big challenge is the extremely specific use of language in every laboratory. As with any voice assistant, another concern is data security. Here, we present Rainbow—an open source voice user interface (VUI) for scientific laboratories, that is adaptable to any Windows PC with Internet access. We used Google Translate Site (GTS) as a voice input and output system to ensure communication to the user. The scripting language AutoIt controls GTS, executes all actions and builds the VUI. Rainbow performs tasks from three different areas—general Microsoft Windows tasks, lab-specific tasks, and device-specific tasks. We achieved significantly higher speech recognition accuracy with our VUI than with GTS alone (91.3% versus 85.1%). Because of Rainbow's architecture, it is possible to improve the voice assistant in terms of functionality and accuracy, allowing each laboratory to optimize its own Rainbow system in a user-friendly way. In a test setup, this led to a speech recognition accuracy of 98.6%. Taken together, Rainbow provides an opportunity for every scientist to implement highly specific scientific terms and tasks to this open source voice assistant system in a very user-friendly way.

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Open Access
Leveraging Transdisciplinary Engineering Through the Coalescence of Digital Twins and XR-Technologies

Digital Twins (DTs) as a disruptive technology of digital transformation are emerging as a true game changer in several application fields. Through digital representations of physical entities, vertical and horizontal integration can take place. This is the basis for comprehensive interoperability and accessibility between human and machine. This paper elaborates an application scenario bringing together DT in a collaborative environment with manifold devices like computers, tablets, or Extended Reality (XR) devices. Therefore, a DT has been developed which can describe and adapt itself according to the user requirements. This is complemented by a cross-compatible application that visualizes the sensor data in almost real-time and allows the user to interact with or control the DT from any location. In a first proof of concept, a seminar room has been equipped with interior air quality measurement devices which encapsulate several sensors within a 3D printed surrounding. The resulting data was then made available via the corresponding DTs of the measurement devices to the user on a HoloLens 2, Varjo XR-3, computer, or mobile device. The bidirectional flow of data and information between the physical and digital space enables to influence the physical devices through their DTs. The DT, combined with XR, can be used transdisciplinary in teaching or industrial environments.

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Open Access
Using Immersive Technologies and Digital Twins for Interdisciplinary Teamwork in Architecture, Engineering and Construction

Immersive technologies have a very large potential to enhance the interdisciplinary teamwork in engineering teams, because they provide a way to visualize geometry data of products, technical systems, and buildings in their natural perspective. The visualization helps the teams to communicate in a better way and find errors in the data, even before any physical object was built. Industries like Automotive are already widely adapting these technologies to enable close collaboration between the departments of design, engineering, and production to reduce error rate in their projects. This article describes the possibilities of integrated immersive technologies and the using of digital twins in Architecture, Engineering, and Construction (AEC). These possibilities are the first results of a research project that aims to look at the entire life cycle of a building and identify potential use cases for digital twins and technologies like virtual reality and augmented reality throughout all stages of the life cycle. The goal is to integrate all participants of the construction process in one communication platform. One focus of research are the immersive assistance systems for construction workers and how working instructions can be generated for example to locate drilling positions automatically for various installation tasks as 3D Data. The aim of the project is to support the employees digitally in their tasks and to reduce the errors due to the 2D drawings traditionally used in the construction industry.

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Open Access
Using Collaborative Immersive Environments and Building Information Modeling Technology for Holistic Planning of Production Lines

Large and complex building projects need many different experts from different engineering disciplines for different matters. But these experts each use their own IT tools that produce a lot of heterogeneous data. This leads to a strong fragmentation of competencies, what causes problems for interdisciplinary collaboration, because the data might be inconsistent, redundant or there are no interfaces to combine the data. These problems in collaboration increase the risk of planning mistakes that might significantly impair the overall project success. So only one database should be used for all engineering tasks to improve the transdisciplinary collaboration. The Building Information Modelling (BIM) working methodology enables the digital collaboration of virtual production planning and architecture tasks for developing a building. By means of lean optimization in combination with early integration of future-oriented production facilities, process-relevant production data can be included in the planning phase before construction begins. This article presents a real time immersive 3D virtualization system using the digital twin of complex buildings with a modern production line as the single source of truth and creates a consistent integrated data model, that enables transdisciplinary collaboration of all involved engineering disciplines. In this way, a continuous comparison can be made between the real construction project and its digital twin in an interactive, intuitive and collaborative manner. The same model is also used by production planners to optimize the material flow and in general the value chain of a production line through a holistic planning, which brings many benefits for all stakeholders.

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Open Access