Tootfinder

HD 143006: Interferometric Confirmation of Misaligned Protoplanetary Disc with CHARA/MIRCX and VLTI/PIONIER
I. Codron, S. Kraus, J. D. Monnier, S. Marino, C. L. Davies, N. Anugu, T. Gardner, N. Ibrahim, C. Lanthermann, J-B Le Bouquin
https://arxiv.org/abs/2506.19668

HD 143006: Interferometric Confirmation of Misaligned Protoplanetary Disc with CHARA/MIRCX and VLTI/PIONIER
The outer regions of the protoplanetary disc surrounding the T Tauri star HD 143006 show rings, dust asymmetries and shadows. Whilst rings and dust asymmetries can arise from companions and other mechanisms, shadows and misaligned discs in particular are typically attributed to the presence of misaligned planets or stellar-mass companions. To understand the mechanisms that drive these traits, the innermost regions of discs need to be studied. Using CHARA/MIRCX and VLTI/PIONIER, we observed the …

Making Leveraged Exchange-Traded Funds Work for your Portfolio
Peter Forsyth, Pieter van Staden, Yuying Li
https://arxiv.org/abs/2506.19200 https://…

Making Leveraged Exchange-Traded Funds Work for your Portfolio
We examine strategically incorporating broad stock market leveraged exchange-traded funds (LETFs) into investment portfolios. We demonstrate that easily understandable and implementable strategies can enhance the risk-return profile of a portfolio containing LETFs. Our analysis shows that seemingly reasonable investment strategies may result in undesirable Omega ratios, with these effects compounding across rebalancing periods. By contrast, relatively simple dynamic strategies that systematical…

Neural Functionally Generated Portfolios
Michael Monoyios, Olivia Pricilia
https://arxiv.org/abs/2506.19715 https://arxiv.org/pdf/250…

Neural Functionally Generated Portfolios
We introduce a novel neural-network-based approach to learning the generating function $G(\cdot)$ of a functionally generated portfolio (FGP) from synthetic or real market data. In the neural network setting, the generating function is represented as $G_θ(\cdot)$, where $θ$ is an iterable neural network parameter vector, and $G_θ(\cdot)$ is trained to maximise investment return relative to the market portfolio. We compare the performance of the Neural FGP approach against classical FGP bench…

I still love the Minimalist Marble Machine that @… built...
➡️ https://tinkerlog.com/portfolio/minimalist-marble-machine/

Minimalist Marble Machine
I always loved watching marble machines, especially the creations of denha. These little machines are super cute and very well made. So a marble machine was on my todo list for a very long time. mo…

Cloudflare open sourced an OAuth library mostly written by Claude, showing how AI handles mechanical implementation while humans guide with context and judgment (Max Mitchell)
https://www.maxemitchell.com/writings/i-read-all-of-cloudflares…

Max Mitchell's Personal Portfolio Website
Max Mitchell's personal portfolio website showcasing his photography, YouTube videos, coding projects, and work history.

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Jiangnan Zhao (Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing, PR China, Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs of China, China Agricultural University, Beijing, PR China), Hanbo Xu (Key Laboratory of Smart Agric…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are highly sensitive and specific, they rely on bulky and expensive laboratory equipment and involve complex operations, making them impracticable for point-of care diagnosis in the field. Here in this study, we report a portable RPA-CRISPR based diagnosis system f…

projects in the near future:
1. my mac-mini server runs ubuntu server and need apps. I'm thinking about Heimdall and a next cloud instance that I can reach via tailscale. I will also use it as an exit node for my tailscale network.
2. Making the server sleep when not in use and use an old RPi to 'wake it up' also over tailscale.
3. Making a portable router out of a Radxa Rock 4c that also use tailscale as a vpn alternative using the exit node.

Introducing the PIT-plot -- a new tool in the portfolio manager's toolkit
Stig-Johan Wiklund, Magnus Ytterstad
https://arxiv.org/abs/2506.12068 https:/…

Introducing the PIT-plot -- a new tool in the portfolio manager's toolkit
Project portfolio management is an essential process for organizations aiming to optimize the value of their R&D investments. In this article, we introduce a new tool designed to support the prioritization of projects within project portfolio management. We label this tool the PIT-plot, an acronym for Project Impact Tornado plot, with reference to the similarity to the Tornado plot often used for sensitivity analyses. Many traditional practices in portfolio management focus on the properties of…

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity
Oluwadamilola Fasina, Ruben V. C. Pohle, Pei-Chun Su, Ronald R. Coifman
https://arxiv.org/abs/2506.15541

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity
We examine the intrinsic (within the attention head) and extrinsic (amongst the attention heads) structure of the self-attention mechanism in transformers. Theoretical evidence for invariance of the self-attention mechanism to softmax activation is obtained by appealing to paradifferential calculus, (and is supported by computational examples), which relies on the intrinsic organization of the attention heads. Furthermore, we use an existing methodology for hierarchical organization of tensors …

On the Mass Budget Problem of Protoplanetary Disks: Streaming Instability and Optically Thick Emission
Daniel Godines, Wladimir Lyra, Luca Ricci, Chao-Chin Yang, Jacob B. Simon, Jeonghoon Lim, Daniel Carrera
https://arxiv.org/abs/2506.10435

On the Mass Budget Problem of Protoplanetary Disks: Streaming Instability and Optically Thick Emission
Statistical studies of protoplanetary disks and exoplanet populations often exhibit a "missing mass" problem, where observed dust masses in (sub-)millimeter surveys are significantly lower than expected when compared to the mass of evolved exoplanetary systems. We investigate how the streaming instability and subsequent planetesimal formation in protoplanetary disks might solve this missing mass problem when (sub-)millimeter observations are interpreted under the assumption of optically thin em…