Tootfinder

I had an old portfolio site for my writing (it was never very complete and omitted my Film/TV/stage work as I was under the impression corporate gigs wouldn't want to see that).
It was never getting visited.
I replaced it with "Please go to https://stuff.davidaugust.com/ for current artic…

David August
Stories, serious articles, satire, tech trends, how to guides and ideas from David August. Actor. Writer. Acting coach.

Da ist es wieder das freundlich lächelnde Gesicht des zukünftigen Arbeitslagerkomandanten. Wer mit Nazis in einer Partei ist, wird selbst zum Nazi, da kann man sich noch so sehr gewählt von den Parteifreunden distanzieren. Und "ihr seid mir aber welche" sagen. Am Ende sorgt er für die Normalisierung der Nazis unter dem Motto, es gibt ja auch gute lächelnde Mörderkumpane.
From: @…

Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails
Ayush Jha, Abootaleb Shirvani, Ali M. Jaffri, Svetlozar T. Rachev, Frank J. Fabozzi
https://arxiv.org/abs/2507.04208

Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails
This paper develops a unified framework that integrates behavioral distortions into rational portfolio optimization by extracting implied probability weighting functions (PWFs) from optimal portfolios modeled under Gaussian and Normal-Inverse-Gaussian (NIG) return distributions. Using DJIA constituents, we construct mean-CVaR99 frontiers, alongwith Sharpe- and CVaR-maximizing portfolios, and estimate PWFs that capture nonlinear beliefs consistent with fear and greed. We show that increasing tai…

Time-dependent response of protoplanetary disk temperature to an FU Ori-type luminosity outburst
S. I. Laznevoi, V. V. Akimkin, Ya. N. Pavlyuchenkov, V. B. Il'in, \'A. K\'osp\'al, P. \'Abrah\'am
https://arxiv.org/abs/2508.04686

Time-dependent response of protoplanetary disk temperature to an FU Ori-type luminosity outburst
Context. The most prominent cases of young star variability are accretion outbursts in FU Ori-type systems. The high power of such outbursts causes dramatic changes in the physical and chemical structure of a surrounding protoplanetary disk. As characteristic thermal timescales in the disk are comparable to the duration of the outburst, the response of its thermal structure is inherently time dependent. Aims. We analyzed how the disk thermal structure evolves under the substantial-yet transie…

PEACHES IV: Tracing the Formation & Evolution of C$_2$H in Perseus Low-Mass Protostars
Jack G. Anderson, Jennifer B. Bergner, Yao-Lun Yang, Yichen Zhang, Nami Sakai
https://arxiv.org/abs/2508.03918

PEACHES IV: Tracing the Formation & Evolution of C$_2$H in Perseus Low-Mass Protostars
The radical hydrocarbon molecule C$_2$H is widely detected in various stages of star and planet formation, and has emerged as a useful tracer of high-C/O gas within the photochemically active surface layers of mature (Class II) protoplanetary disks. However, the chemistry and evolution of C$_2$H within younger (Class 0/I) protostars remains much more poorly understood. Here, using data observed as part of the PEACHES survey along with new ALMA ACA observations, we investigate the C$_2$H emissio…

Online EFX Allocations with Predictions
Themistoklis Melissourgos, Nicos Protopapas
https://arxiv.org/abs/2508.04779 https://arxiv.org/pdf/2508.04779

Online EFX Allocations with Predictions
We study an online fair division problem where a fixed number of goods arrive sequentially and must be allocated to a given set of agents. Once a good arrives, its true value for each agent is revealed, and it has to be immediately and irrevocably allocated to some agent. The ultimate goal is to ensure envy-freeness up to any good (EFX) after all goods have been allocated. Unfortunately, as we show, approximate EFX allocations are unattainable in general, even under restrictive assumptions on t…

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
Pradeep Kumar Shukla, Tanujit Chakraborty, Mustafa Sari, Joel Sarout, Partha Pratim Mandal
https://arxiv.org/abs/2508.05248

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
This study provides an in-depth analysis of time series forecasting methods to predict the time-dependent deformation trend (also known as creep) of salt rock under varying confining pressure conditions. Creep deformation assessment is essential for designing and operating underground storage facilities for nuclear waste, hydrogen energy, or radioactive materials. Salt rocks, known for their mechanical properties like low porosity, low permeability, high ductility, and exceptional creep and sel…

Willkommen auf der Peertube-Instanz von heise medien. 🐙📺
Wenn ihr unsere Videos ohne undurchsichtige Algorithmen schauen möchtet, seid ihr hier genau richtig: https://peertube.heise.de

AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Emotion Recognition
Zheng Lian
https://arxiv.org/abs/2508.01318 https://arxiv.org/pdf/2…

AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Emotion Recognition
Open-Vocabulary Multimodal Emotion Recognition (OV-MER) aims to predict emotions without being constrained by predefined label spaces, enabling fine-grained and human-like emotion understanding. Unlike traditional discriminative methods, OV-MER leverages generative models, such as large language models (LLMs) with extensive vocabularies, to capture the full spectrum of emotions. Previous approaches (like AffectGPT) primarily rely on token-level loss for training. However, this objective does no…

This https://arxiv.org/abs/2505.23019 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Stairway to Success: Zero-Shot Floor-Aware Object-Goal Navigation via LLM-Driven Coarse-to-Fine Exploration
Object-Goal Navigation (OGN) remains challenging in real-world, multi-floor environments and under open-vocabulary object descriptions. We observe that most episodes in widely used benchmarks such as HM3D and MP3D involve multi-floor buildings, with many requiring explicit floor transitions. However, existing methods are often limited to single-floor settings or predefined object categories. To address these limitations, we tackle two key challenges: (1) efficient cross-level planning and (2) z…