Tootfinder

🌝 Reverse engineering the mysterious Up-Data Link Test Set from Apollo
http://www.righto.com/2025/07/reverse-engineering-mysterious-up-data.html
#electronics

Reverse engineering the mysterious Up-Data Link Test Set from Apollo
Back in 2021, a collector friend of ours was visiting a dusty warehouse in search of Apollo-era communications equipment. A box with NASA-st...

Engineered over Emergent Communication in MARL for Scalable and Sample-Efficient Cooperative Task Allocation in a Partially Observable Grid
Brennen A. Hill, Mant Koh En Wei, Thangavel Jishnuanandh
https://arxiv.org/abs/2508.02912

Engineered over Emergent Communication in MARL for Scalable and Sample-Efficient Cooperative Task Allocation in a Partially Observable Grid
We compare the efficacy of learned versus engineered communication strategies in a cooperative multi-agent reinforcement learning (MARL) environment. For the learned approach, we introduce Learned Direct Communication (LDC), where agents generate messages and actions concurrently via a neural network. Our engineered approach, Intention Communication, employs an Imagined Trajectory Generation Module (ITGM) and a Message Generation Network (MGN) to formulate messages based on predicted future sta…

Atom-Induced Field Squeezing Predicted by Magnus Expanding the Jaynes-Cummings Model for a Two-Level Atom
Phoenix M. M. Paing
https://arxiv.org/abs/2508.03506 https://

Atom-Induced Field Squeezing Predicted by Magnus Expanding the Jaynes-Cummings Model for a Two-Level Atom
By performing up to the second-order Magnus expansion on the Jaynes-Cummings Model Hamiltonian governing the interaction of a two-level atom and a single cavity mode electromagnetic field, we find the term involving the squeezing of light beyond the Rotating Wave Approximation. Our results demonstrate that the Magnus expansion provides a systematic framework to capture atom-induced squeezing effects. These findings suggest new avenues for engineering nonclassical states in simple light-matter s…

Do Research Software Engineers and Software Engineering Researchers Speak the Same Language?
Timo Kehrer, Robert Haines, Guido Juckeland, Shurui Zhou, David E. Bernholdt
https://arxiv.org/abs/2507.02665

Do Research Software Engineers and Software Engineering Researchers Speak the Same Language?
Anecdotal evidence suggests that Research Software Engineers (RSEs) and Software Engineering Researchers (SERs) often use different terminologies for similar concepts, creating communication challenges. To better understand these divergences, we have started investigating how SE fundamentals from the SER community are interpreted within the RSE community, identifying aligned concepts, knowledge gaps, and areas for potential adaptation. Our preliminary findings reveal opportunities for mutual le…

M2: An Analytic System with Specialized Storage Engines for Multi-Model Workloads
Kyoseung Koo, Bogyeong Kim, Bongki Moon
https://arxiv.org/abs/2508.02508 https://

M2: An Analytic System with Specialized Storage Engines for Multi-Model Workloads
Modern data analytic workloads increasingly require handling multiple data models simultaneously. Two primary approaches meet this need: polyglot persistence and multi-model database systems. Polyglot persistence employs a coordinator program to manage several independent database systems but suffers from high communication costs due to its physically disaggregated architecture. Meanwhile, existing multi-model database systems rely on a single storage engine optimized for a specific data model,…

Atmosphärische Flüsse über der #Antarktis könnten sich bis 2100 verdoppeln, mit 2,5-mal mehr #Niederschlag als heute.
Der Grund ist steigende #Luftfeuchtigkeit durch die

Rising atmospheric moisture escalates the future impact of atmospheric rivers in the Antarctic climate system - Communications Earth & Environment
Antarctic atmospheric rivers are projected to double in frequency and cause 2.5 times more precipitation by 2066–2100 due to rising atmospheric moisture, according to large ensemble climate simulations that highlight the sensitivity of future atmospheric rivers to the detection threshold.

So to summarize this whole adventure:
1. A good 45 minutes was spent to get an answer that we probably could have gotten in 5 minutes in the 2010's, or in maybe 1-2 hours in the 1990's.
2. The time investment wasn't a total waste as we learned a lot along the way that we wouldn't have in the 2010's. Most relevant is the wide range of variation (e.g. a 2x factor depending on fiber intake!).
3. Most of the search engine results were confidently wrong answers that had no relation to reality. We were lucky to get one that had real citations we could start from (but that same article included the bogus 4.91 kcal/gram number). Next time I want to know a random factoid I might just start on Google scholar.
4. At least one page we chased citations through had a note at the top about being frozen due to NIH funding issues. The digital commons is under attack on multiple fronts.
All of this is yet another reason not to support the big LLM companies.
#AI

Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters
Elvis Rodrigues, Jacob Goldverg, Tevfik Kosar
https://arxiv.org/abs/2506.04117 http…

Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters
Inter-datacenter communication is a significant part of cloud operations and produces a substantial amount of carbon emissions for cloud data centers, where the environmental impact has already been a pressing issue. In this paper, we present a novel carbon-aware temporal data transfer scheduling framework, called LinTS, which promises to significantly reduce the carbon emission of data transfers between cloud data centers. LinTS produces a competitive transfer schedule and makes scaling decisi…

Bose-Hubbard model in the canonical ensemble: a beyond mean-field approach
Tista Banerjee
https://arxiv.org/abs/2508.01692 https://arxiv.org/pdf/2508.01692…

Bose-Hubbard model in the canonical ensemble: a beyond mean-field approach
Ultracold atoms in optical lattices are versatile testbeds to study and manipulate equilibrium and out-of-equilibrium aspects of quantum many-body systems whose behavior can be described by Hubbard-type Hamiltonians. In this paper, we consider an ansatz wave-function which respects total particle-number conservation for such systems and goes beyond mean-field theory; this wave-function has the same complexity in the number of parameters as the mean-field Gutzwiller ansatz, and captures quantum …

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection
Martin Obaidi, Marc Herrmann, Jil Kl\"under, Kurt Schneider
https://arxiv.org/abs/2507.02137

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection
Software development relies heavily on text-based communication, making sentiment analysis a valuable tool for understanding team dynamics and supporting trustworthy AI-driven analytics in requirements engineering. However, existing sentiment analysis tools often perform inconsistently across datasets from different platforms, due to variations in communication style and content. In this study, we analyze linguistic and statistical features of 10 developer communication datasets from five pla…