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Controlling bubble and skyrmion lattice order and dynamics via stripe domain engineering in ferrimagnetic Fe/Gd multilayers
Ferrimagnetic Fe/Gd multilayers host maze-like stripe domains that transform into a disordered bubble/skyrmion lattice under out-of-plane magnetic fields at ambient temperature. Femtosecond magneto-optics distinguishes these textures via their distinct coherent breathing dynamics. Crucially, applying a brief in-plane "set" magnetic field to the stripe state enhances both frequency and amplitude of the bubble/skyrmion lattice breathing mode. Lorentz transmission electron microscopy, magnetic force microscopy, and micromagnetic simulations reveal that this enhancement arises from field-aligned stripes nucleating a dense, near-hexagonal bubble/skyrmion lattice upon out-of-plane field application, with strong indications for a pure skyrmion lattice. Thus, modifying the initial domain configuration by in-plane fields enables precise control of coherent magnetization dynamics on picosecond to nanosecond timescales and potentially even of topology
Sustainable through digital – a research agenda for digital social innovation
To address the detrimental sustainability challenges of our time, the synthesis of two currently isolated innovation research streams is promising: 1) Digital innovation leveraging digital technologies to create novel solutions, and 2) social innovation creating social value and thus accelerating sustainable development. Bringing together both research streams, this study aims to build a knowledge foundation on so-called digital social innovation (DSI). First, by identifying 135 studies in the DSI realm through a structured literature review, we analyse and synthesise their contribution via a theory-based multidimensional framework spanning digital technology, digital innovation, and social innovation. Next, to get a comprehensive overview of existing DSI research, this study provides a research agenda validated by expert scholars comprising 12 clear-cut research pathways for DSI. Our findings guide the advancement of DSI research and enable practitioners to leverage DSI in light of the current societal challenges
Prevalence and clinico-morphological correlates of STK11 mutations in a large cohort of NSCLC lung adenocarcinomas
STK11-mutated non-small cell lung cancers (NSCLC) show distinct clinicopathologic features, often with co-occurring KRAS and TP53 mutations that drive more aggressive disease. This study investigates the mutational landscape and clinical characteristics of STK11-mutated lung adenocarcinomas. We retrospectively reviewed 1,068 primary lung cancer cases from 2018 to 2022, identifying 14 STK11-mutant lung adenocarcinomas. We collected clinicopathologic data (demographics, histology, treatment), performed genomic profiling for co-mutations, and used immunohistochemistry to evaluate associated phenotypes. Patients with STK11 mutations (median age 67) were predominantly male smokers. KRAS or TP53 co-mutations appeared in 50% of cases. STK11/KRAS tumors showed higher metastatic rates, while STK11/TP53 tumors had increased necrosis and mitotic activity. Early-stage patients had longer survival, whereas advanced-stage cases faced significantly worse. Those treated with PD-1/PD-L1 inhibitors (Pembrolizumab) had limited benefit, with a median overall survival of 4.1 ± 2.8 months. STK11-mutant NSCLCs-especially with KRAS or TP53 co-mutations-demonstrate aggressive behavior and poor response to current immunotherapies. Comprehensive genomic profiling may help refine understanding of tumour biology and potentially inform treatment decisions. Larger studies are needed to validate these findings, but integrating genomic, pathologic, and clinical data may advance personalized therapy for these patients
bjaf055.110 Tuft (taste) cell-like subtypes in human biliary inflammation: chemosensory epithelial diversity revealed by single-cell profiling [Abstract]
(Erzwungene) Migration im Museum - von Homogenität und Diversität: ein Diskussionsbeitrag
48/m mit Hämatemesis: Vorbereitung auf die Zusatz-Weiterbildung Internistische Intensivmedizin: Fall 22
Towards modelling flexibility limits in cyber-physical production systems
In the context of cyber-physical production systems, the term "flexibility" is typically employed in an intuitive and implicit manner. It is uncommon for proposals that quantify the flexibility of production systems, and even then, only by measuring certain general aspects top-down. However, as flexibility is becoming increasingly crucial for contemporary and future systems in both production and logistics, it must be regarded as a value- and data-driven resource for comprehensive system analysis. This paper presents a generic model for quantifying the flexibility of entities within a production system, comprising processes, products, and resources. These three entities represent the fundamental elements of any production system, which is therefore conceptualised and presented as a multi-agent system. The flexibility model of an entity is defined in terms of two sets of constraints. Firstly, the inherent limits of the solution space of any singular entity must be considered. These limits are formed by factors such as the limitations of the software or hardware in use. Secondly, the boundaries of the flexibility space are defined by the interactions between entities. Such constraints may be formed, for example, by entity interdependencies or preparatory measures for the interaction. By employing these types of constraints, which are both rule- and data-driven, this generic methodology can describe the resulting numerical flexibility space of individual entities. This paper focuses on temporal flexibility models, which are the most universally applicable flexibility dimension, and considers their implementation for products, processes, and resources