Tootfinder

Foundations for Energy-Aware Zero-Energy Devices: From Energy Sensing to Adaptive Protocols
Onel L. A. L\'opez, Mateen Ashraf, Samer Nasser, Gabriel M. de Jesus, Ritesh Kumar Singh, Miltiadis C. Filippou, Jeroen Famaey
https://arxiv.org/abs/2507.22740

Foundations for Energy-Aware Zero-Energy Devices: From Energy Sensing to Adaptive Protocols
Zero-energy devices (ZEDs) are key enablers of sustainable Internet of Things networks by operating solely on harvested ambient energy. Their limited and dynamic energy budget calls for protocols that are energy-aware and intelligently adaptive. However, designing effective energy-aware protocols for ZEDs requires theoretical models that realistically reflect device constraints. Indeed, existing approaches often oversimplify key aspects such as energy information (EI) acquisition, task-level va…

Cadus Kurs ist sehr fordernd aber unfassbar lehrreich. Von Mission Prep, Teamstrukturaufbau, Komm-Strukturen, effektive Funkkommunikation, Situation Assessment, Situation Reports erstellen, Konvoi fahren (und auf Unvorhergesehenes reagieren) bis zu Full Body Assessment bei Patient*innen, Versorgung großer Wunden (stop the bleed) mit Tourniquets war alles dabei.
Macht richtig Spaß und props an die Cadus Menschen die das alles ausgearbeitet haben.

Generation of Quantum Entanglement in Autonomous Thermal Machines: Effects of Non-Markovianity, Hilbert Space Structure, and Quantum Coherence
Achraf Khoudiri, Khadija El Anouz, Abderrahim El Allati
https://arxiv.org/abs/2508.18056

Generation of Quantum Entanglement in Autonomous Thermal Machines: Effects of Non-Markovianity, Hilbert Space Structure, and Quantum Coherence
We present a theoretical investigation of entanglement generation in an external quantum system interacting with a quantum autonomous thermal machine (QATM) under a non-Markovian dynamics. Indeed, the QATM is composed of two non-coupled qubits. Each qubit is coupled to an independent thermal reservoir, where each reservoir interacts with an external system of two additional non-coupled qubits. By analyzing the Hilbert space structure, energy level configurations, and temperature gradients, we d…

The Phases of Chaos
Tarek Anous, Diego M. Hofman
https://arxiv.org/abs/2506.20542 https://arxiv.org/pdf/2506.20542

The Phases of Chaos
We develop a novel physical picture to understand certain universal properties of the GUE matrix model which are typically ascribed to quantum chaos, i.e. the ramp and the plateau. We argue that these features should instead be associated with a pattern of spontaneous (or weak explicit) symmetry breaking. In this language, the GUE matrix model corresponds to an effective theory that describes the symmetry-broken phase, and where the Hermitian matrix of the GUE should be understood as a massive …

Credit risk for large portfolios of green and brown loans: extending the ASRF model
Alessandro Ramponi, Sergio Scarlatti
https://arxiv.org/abs/2506.12510 h…

Credit risk for large portfolios of green and brown loans: extending the ASRF model
We propose a credit risk model for portfolios composed of green and brown loans, extending the ASRF framework via a two-factor copula structure. Systematic risk is modeled using potentially skewed distributions, allowing for asymmetric creditworthiness effects, while idiosyncratic risk remains Gaussian. Under a non-uniform exposure setting, we establish convergence in quadratic mean of the portfolio loss to a limit reflecting the distinct characteristics of the two loan segments. Numerical resu…

Inductive Bias Extraction and Matching for LLM Prompts
Christian M. Angel, Francis Ferraro
https://arxiv.org/abs/2508.10295 https://arxiv.org/pdf/2508.1029…

Inductive Bias Extraction and Matching for LLM Prompts
The active research topic of prompt engineering makes it evident that LLMs are sensitive to small changes in prompt wording. A portion of this can be ascribed to the inductive bias that is present in the LLM. By using an LLM's output as a portion of its prompt, we can more easily create satisfactory wording for prompts. This has the effect of creating a prompt that matches the inductive bias in model. Empirically, we show that using this Inductive Bias Extraction and Matching strategy improves …

ich habe gerade die Petition 'Gegen Wassermangel: Bäume und Hecken auf die Äcker!' auf WeAct unterschrieben und würde mich sehr freuen, wenn weitere mitmachen
Hier könnt ihr mehr erfahren und unterzeichnen:

Gegen Wassermangel: Bäume und Hecken auf die Äcker!
💧🌳 Wassermangel, Hitzestress, Bodenerosion – unsere Äcker brauchen mehr Schatten und Wasser! Darum: Hecken und Bäume aufs Feld! Unterschreibe jetzt die WeAct-Petition für Agroforstsysteme in der Landwirtschaft. 👉 https://weact.campact.de/p/wassermangel #Agroforst #Klimaanpassung #Wasserschutz #Landwirtschaft #Petition

Leveraging large language models for SQL behavior-based database intrusion detection
Meital Shlezinger, Shay Akirav, Lei Zhou, Liang Guo, Avi Kessel, Guoliang Li
https://arxiv.org/abs/2508.05690

Leveraging large language models for SQL behavior-based database intrusion detection
Database systems are extensively used to store critical data across various domains. However, the frequency of abnormal database access behaviors, such as database intrusion by internal and external attacks, continues to rise. Internal masqueraders often have greater organizational knowledge, making it easier to mimic employee behavior effectively. In contrast, external masqueraders may behave differently due to their lack of familiarity with the organization. Current approaches lack the granul…

Replaced article(s) found for cond-mat.mes-hall. https://arxiv.org/list/cond-mat.mes-hall/new
[1/1]:
- Magnon-mediated current drag and nonlocal spin-Peltier effect in the ac regime
Oliver Franke, Duje Akrap, Piet W. Brouwer