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The 116,118,120,122,124In nuclei have been popu- lated as fission fragments in reactions induced by heavy ions. Level schemes have been built from γ-rays detected using the Gammasphere array. Medium-spin states of 118,120In69,71 nuclei have been identified for the first time, while the level schemes of 116,122,124In67,73,75 were enriched. The observed states at lower excitations and at medium spin can be described by the coupling of the proton g9/2 hole to the neutron or neutron-hole in the h11/2 orbital. This coupling can now be followed in all odd-odd In isotopes from 104In to 126In 

This practitioner paper describes the Making Sense of Models (MSM) curriculum that bridges math and science learning through agent based modeling and rich computational thinking investigations that do not require teaching computer programming in middle school classrooms. The MSM curriculum supports students in the NGSS skill of reasoning about how and why a phenomenon happens. After developing decoding skills, students are able to assess the validity of a model based on comparing mechanisms in the model to what they learned about the phenomenon being modeled. The paper also describes how the MSM curriculum supports students’ ability to reason about scientific models and the real world. 

Microservice architectures have become the de facto paradigm for building scalable, service-oriented systems. Although their decentralized design promotes resilience and rapid development, the inherent complexity leads to subtle performance challenges. In particular,non-fatalerrors - internal failures of remote procedure calls that do not cause top-level request failures - can accumulate along the critical path, inflating latency and wasting resources. In this work, we analyze over 11 billion RPCs across more than 6,000 microservices at Uber. Our study shows that nearly 29% of successful requests experience non-fatal errors that remain hidden in traditional monitoring. We propose a novellatency-reduction estimator(LR estimator) to quantify the potential benefit of eliminating these errors. Our contributions include a systematic study of RPC error patterns, a methodology to estimate latency reductions, and case studies demonstrating up to a 30% reduction in tail latency.