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Single molecule force spectroscopy and computation are used to evaluate substituent effects on the disrotatory ring opening reaction of cyclobutene to butadiene, accessedviacovalent polymer mechanochemistry. 

Background: Understanding dependencies within microservices is essential for maintaining and evolving scalable and efficient software architectures. Dependencies influence how changes in one microservice might propagate to other microservices. With the decentralized nature of microservices, these dependencies might not be explicit to developers and lead to unique challenges in modern software development environments. Objective: The objective of this study is to synthesize existing literature on microservice dependencies, identify the types of dependencies, and examine the strategies employed to manage and analyze these relationships. This effort aims to elucidate how dependencies affect microservice systems and to provide a comprehensive overview of dependency management within microservices. Method: We conducted a multivocal literature review, starting with an initial dataset of 1,733 papers from academic literature (white literature). This corpus was narrowed down through a rigorous filtering process to 45 key publications that address the identification, management, and impacts of dependencies in microservices. Additionally, we incorporated 926 articles from grey literature sources such as Google, Stack Overflow, and Stack Exchange, expanding the scope beyond traditional academic research. After the filtration process, 45 articles were fully synthesized to integrate practical insights and professional experiences into our review. Results: The review identifies several types of dependencies in microservice systems and synthesizes this information into a unified dependency taxonomy. This review highlights a range of approaches to dependency management, revealing a significant gap in systematic catering approaches to generate taxonomies for dependencies and the need for integrated management tools. The findings underscore the fragmented nature of existing dependency management practices and the potential for more holistic approaches. Conclusion: This study provides valuable insights for researchers and practitioners, outlining effective strategies and pointing out areas needing improvement in dependency management. By offering a structured overview of the topic, the study serves as a roadmap for future research and development efforts to enhance the robustness and maintainability of microservices. 

Abstract Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counterintuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfvén waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold,α= 2 as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed >600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: preflare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine thatα= 1.63 ± 0.03. This is below the critical threshold, suggesting that Alfvén waves are an important driver of coronal heating.