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We present a high-resolution age-depth model for Site M0079, drilled in the Corinth rift, central Greece, during International Ocean Discovery Program Expedition 381. To establish the model, we use available age constrains derived from postcruise research, including ages from 14C analysis and visible tephra layers, together with published ages from U/Th analysis, magnetostratigraphy, and relative paleointensity data. The age-depth model is built for the entire length of the Site M0079 drill hole using a probabilistic modeling approach in OxCal software. The resulting age-depth model provides a robust chronological framework for sediment accumulation within the Gulf of Corinth, constraining the most recent phase of synrift deposition over the past 800,000 y. 

Future tactical communications involves high data rate best effort traffic working alongside real-time traffic for time-critical applications with hard deadlines. Unavailable bandwidth and/or untimely responses may lead to undesired or even catastrophic outcomes. Ethernet-based communication systems are one of the major tactical network standards due to the higher bandwidth, better utilization, and ability to handle heterogeneous traffic. However, Ethernet suffers from inconsistent performance for jitter, latency and bandwidth under heavy loads. The emerging Time-Triggered Ethernet (TTE) solutions promise deterministic Ethernet performance, fault-tolerant topologies and real-time guarantees for critical traffic. In this paper we study the TTE protocol and build a TTTech TTE test bed to evaluate its performance. Through experimental study, the TTE protocol was observed to provide consistent high data rates for best effort messages, determinism with very low jitter for time-triggered messages, and fault-tolerance for minimal packet loss using redundant networking topologies. In addition, challenges were observed that presented a trade-off between the integration cycle and the synchronization overhead. It is concluded that TTE is a capable solution to support heterogeneous traffic in time-critical applications, such as aerospace systems (eg. airplanes, spacecraft, etc.), ground-based vehicles (eg. trains, buses, cars, etc), and cyber-physical systems (eg. smart-grids, IoT, etc.).