I’ve been a data engineer for years, and if there’s one thing I’ve learned, it’s this: pipelines don’t explode overnight. They rot. Slowly. One shortcut at a time, one “we’ll fix it later” at a time, until you’re staring at a 3 AM PagerDuty alert, wondering how everything got this bad. This article is the field guide I wish I’d had when I started. These are the five anti-patterns I’ve seen destroy pipeline reliability across startups and enterprises […]

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In a traditional monastery the recitation of the Hours calls to mind the work of God in our lives, from the gift of creation to the sufferings we bear. According to scientist, theologian, and author Ilia Delio, the universe is the new monastery. In her latest work she offers reflections for this new monastery to a broad, general audience seeking new meaning and purpose in today’s world.

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arXiv:2601.08887v1 Announce Type: new Abstract: Efficient load-balancing mechanisms are critical for maximizing performance and increasing the quality of service (QoS) of data center networks (DCNs). Obtaining the optimal QoS while minimizing resource consumption remains a significant challenge. This paper proposes the streamlined pathway (SP) model, which is a flow scheduling solution that requires minimal statistical knowledge of the DCN data plane. The SP model utilizes the software-defined networks (SDN) paradigm with less information gathered from the DCN data […]

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Table of Links Abstract and 1. Introduction 2. Financial Market Model and Worst-Case Optimization Problem 3. Solution to the Post-Crash Problem 4. Solution to the Pre-Crash Problem 5. A BSDE Characterization of Indifferences Strategies 6. The Markovian Case 7. Numerical Experiments Acknowledgments and References Appendix A. Proofs from Section 3 Appendix B. Proofs of BASDE Results from Section 5 Appendix C. Proofs of (CIR) Results from Section 6 4. Solution to the Pre-Crash Problem It is now left […]

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arXiv:2601.21039v1 Announce Type: new Abstract: Distributed energy storage devices can be pooled and coordinated by aggregators to participate in power system operations and market clearings. This requires representing a massive device population as a single, tractable surrogate that is computationally efficient, accurate, and compatible with market participation requirements. However, surrogate identification is challenging due to heterogeneity, nonconvexity, and high dimensionality of storage devices. To address these challenges, this paper develops a mean-field learning framework for storage aggregation. We […]

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arXiv:2604.07548v1 Announce Type: new Abstract: Artificial Intelligence (AI) chatbots are increasingly used for emotional, creative, and social support, leading to sustained and routine user interaction with these systems. As these applications evolve through frequent version updates, changes in functionality or behavior may influence how users evaluate them. However, work on how publicly expressed user feedback varies across app versions in real-world deployment contexts is limited. This study analyzes 210,840 Google Play reviews of the chatbot application Character AI, […]

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arXiv:2602.17799v1 Announce Type: new Abstract: Recent advances in Vision Language Models (VLMs) and Vision Foundation Models (VFMs) have opened new opportunities for zero-shot text-guided segmentation of remote sensing imagery. However, most existing approaches still rely on additional trainable components, limiting their generalisation and practical applicability. In this work, we investigate to what extent text-based remote sensing segmentation can be achieved without additional training, by relying solely on existing foundation models. We propose a simple yet effective approach that […]

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