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Background:
After an acute deep venous thrombosis (DVT) of the lower limb, 20% to 63% of patients develop post-thrombotic syndrome (PTS). In this review, we address the efficacy of compression therapy in the treatment of acute DVT of the lower limb, and for the prevention of PTS.
Methods:
12 randomized controlled trials (RCTs) and one meta-analysis, with a total of 3751 patients, were identified in a structured literature search.
Results:
Two RCTs showed that adding compression therapy to drug treatment in the first 9 days of the acute phase of lower limb DVT led to more rapid pain relief (p<0.050) and less swelling (remaining difference in circumference, 1 cm versus 3 cm, p<0.050). As for the prevention of PTS, four RCTs showed a short-term benefit or no benefit of compression therapy. In three further RCTs, medical compression stockings (MCS) brought about a 16% to 27% absolute reduction of the frequency and severity of PTS (47% vs. 20 %, p<0.001; 40% vs. 21% (95% confidence intervals [29.9; 50.1] and [12.7; 29.5], respectively; and 58% vs. 42%, relative risk [RR] 0.73 [0,55; 0.96]). The benefit of MCS was also confirmed in a recent meta-analysis (RR 0.66 [0.44; 0.99], I2 = 88%). Thigh-length MCS were not superior to knee-length MCS for the prevention of PTS (33% vs. 36%, hazard ratio [HR] 0.93 [0.62; 1.41]). Individual, symptomoriented tailoring of the duration of treatment was not inferior to a fixed treatment duration of 24 months (29% vs. 28%; odds ratio [OR] 1.06 [0.78;1.44]).
Conclusion:
Compression therapy relieves symptoms in acute DVT and lessens the frequency and severity of PTS. It is therefore recommended as standard treatment.
Creating simulation models and running experiments requires expertise and significant effort. Modelling complex production systems by using Petri Nets, which have a simple formalism, leads to considerable modelling effort. To reduce the workload required, fundamental processes within a production system must be analyzed and represented as generic Petri Net structures to enable their automatic generation. These structures can serve as modular building blocks to construct arbitrarily complex systems. The broader objective is to enable the automatic generation of such, based on process descriptions within a simulation framework. Built on these findings, the necessary information for developing a specialized formal process description is derived, enabling the automated generation of Petri Net simulation models for production systems.
This paper presents the workflows of Digital Twins in practice, with reference to three case studies. The objective is to present the processing of data and information flow. The most essential requirements for the design of a Digital Twin are synthesized from the case studies and a layer model is presented, which was developed based on the three case studies. The model consists of four functional layers and an overarching data- and workflow-management-backbone. A front-end layer is proposed for communication with the end user.
This study examines the impact of different hatching strategies on the mechanical and technological properties, as well as the manufacturing-induced residual stresses of additively manufactured AlSi10Mg components produced using Laser Powder Bed Fusion (LPBF). For the sample production, parallel and orthogonal hatching patterns were employed at various rotation angles, leading to differences in the mechanical properties of the components. The parallel structure exhibits significantly higher compressive residual stresses in the near-surface areas of the component, up to 33% greater than those observed in the orthogonal structure. These compressive residual stresses could counteract operational tensile stresses, potentially enhancing the load-bearing capacity of the component. The findings of this study provide insights into the targeted use of hatching strategies to optimize the mechanical properties and lifespan of components. Future works should focus on experimentally validating the simulation results using the core hole method to further improve the correlation between numerical models and actual stress distributions.
This study explores the use of psychological skills among Deaflympic athletes and aims to provide initial insights into sport psychology practices in this overlooked population. To this end, the frequency of psychological skills’ usage, usage patterns, and differences between subgroups were examined within this population. The Test of Performance Strategies (TOPS) was administered to 84 German Deaflympic athletes (mean age = 28; 27% female) along with biographical questions (e.g., hearing status). The findings indicate that Deaflympic athletes regularly utilize psychological skills in training and competition, displaying similar usage to that of Olympic athletes. However, only a minority of Deaflympic athletes train their skills with professional consultants. Additionally, relaxation techniques were employed rarely in comparison to the other investigated skills. This study’s findings contribute to the foundation of sport psychology research with Deaflympic athletes and underscore the need for a differentiated approach in tailoring interventions for this population.
Purpose Due to the growing percentage share of urban dwellers, the physical distribution of products faces altering conditions. This research explores the effects that urbanization has on the performance of a fast-moving consumer goods distribution network. A focus is set on changes in distribution cost, the cost-minimal network design, and greenhouse gas emissions. Design/methodology/approach The analyses are based on a quantitative distribution network model of an existing manufacturer of consumer goods. Findings The results indicate that the foreseen population shift will affect the network's economic and environmental performance. Effects are, among others, due to differences in the efficiency of supplying urban and nonurban regions. The combined effects of urbanization and the development of the population size will even more affect the network's performance. Originality/value Research dealing with distribution logistics and urbanization primarily focuses on city logistics. In this paper, the object of analysis is the entire distribution system.
Das Thema „Implementierung eines Treibers zur Anbindung von Mikrocontroller-basierten Maschinen über OPC-UA an das Konfigurations- und Inbetriebnahme-Tool von SSI Schäfer“ soll zu einem Gerätetreiber für das Konfigurations- und Inbetriebnahme-Tool CPM führen, welcher den Anschluss von neuen Maschinen an ebendieses ermöglicht. Aktuell befinden sich diese noch in Entwicklung, jedoch sollen sie, von den Vorteilen des CPM-Tools profitieren, welches unter anderem den Inbetriebnahmeprozess einfacher und schneller gestalten kann. Ziel ist somit die Anbindung dieser Maschinen durch die Spezifikation einer Schnittstelle und der Implementierung dieser auf Basis der Schnittstellen des CPM-Tools, in welches sich der Gerätetreiber nahtlos einfügen soll.
To support operational decisions using simulation-based digital twins, it is crucial to synchronize the simulation model quickly and accurately with the load state in the real system. This minimizes the typical transient behavior of material flow simulations to a short period of time. This paper presents a concept for initializing a simulation model using the example of a distribution center that uses SAP EWM as a warehouse management system. As part of a study, the influence of the presented initialization concept on the simulation models’ transient behavior is investigated. The simulation model used as a reference is in an ‘empty’ load state at the beginning of the simulation. The study results indicate that the proposed approach can significantly shorten the transient behavior.
Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control.
Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control.