Tootfinder

"General Availability: Free hosting plan for WordPress on App Service"
Wonder if we could do this dasBlog ... I would not even need a database :)
https://techcommunity.microsoft.com/t5

Before you head out for the weekend, don't miss today's Metacurity for the most important infosec developments you should know, including
--FBI's Wray ramps up rhetoric on Chinese hackers, says they're poised to deal a 'devastating blow'
--Frontier Communications forced to shut down some systems following cyberattack,
--Akira gang has earned $42M,
--Jury finds Mango Markets exploiter guilty,
--Hacker claims theft from financial crime database,
--LastPass users targeted by CryptoChameleon,
--FIN7 targeted US carmaker,
--Ransomware attack threatens US and European blood supply,
--Cybersec pros ask Congress to solve NVD problems,
--much more
https://www.metacurity.com/p/fbis-wray-ramps-rhetoric-chinese-hackers-says-theyre-poised-deal-devastating-blow

I recently released Chisel, a tool for removing unwanted dependencies from your #dotnet projects. It’s typically useful to remove the AWS SDK from the MongoDB driver or the Azure SDK from the SQL Server driver (Microsoft.Data.SqlClient). Why do database drivers insist on taking dependencies on cloud libraries? 🤷‍♀️
Learn more at

GitHub - 0xced/Chisel: Remove unwanted dependencies from your dotnet projects
Remove unwanted dependencies from your dotnet projects - 0xced/Chisel

And another Microsoft security incident. "The Azure storage server housed code, scripts and configuration files containing passwords, keys and credentials used by the Microsoft employees for accessing other internal databases and systems."
https://techcr…

Microsoft employees exposed internal passwords in security lapse | TechCrunch
The tech giant secured a cloud storage server that was inadvertently spilling Microsoft internal data and credentials to the open internet.

Infrared properties of carbon stars in our Galaxy
Kyung-Won Suh
https://arxiv.org/abs/2403.18290 https://arxiv.org/pdf/2403.18290

Infrared properties of carbon stars in our Galaxy
In this study, we explore the characteristics of carbon stars within our Galaxy through a comprehensive analysis of observational data spanning visual and infrared (IR) bands. Leveraging datasets from IRAS, ISO, Akari, MSX, 2MASS, WISE, Gaia DR3, AAVSO, and the SIMBAD object database, we conduct a detailed comparison between the observational data and theoretical models. To facilitate this comparison, we introduce various IR two-color diagrams (2CDs), IR color-magnitude diagrams (CMDs), and spe…

A quasi-linear model of electromagnetic turbulent transport and its application to flux-driven transport predictions for STEP
M. Giacomin, D. Dickinson, W. Dorland, N. R. Mandell, A. Bokshi, F. J. Casson, H. G. Dudding, D. Kennedy, B. S. Patel, C. M. Roach
https://arxiv.org/abs/2404.17453

A quasi-linear model of electromagnetic turbulent transport and its application to flux-driven transport predictions for STEP
A quasi-linear reduced transport model is developed from a database of high-$β$ electromagnetic nonlinear gyrokinetic simulations performed with Spherical Tokamak for Energy Production (STEP) relevant parameters. The quasi-linear model is fully electromagnetic and accounts for the effect of equilibrium flow shear using a novel approach. Its flux predictions are shown to agree quantitatively with predictions from local nonlinear gyrokinetic simulations across a broad range of STEP-relevant loca…

DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications
Nillan Nimal, Wenbin Li, Ronald Clark, Sajad Saeedi
https://arxiv.org/abs/2402.11836

DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications
The creation of accurate virtual models of real-world objects is imperative to robotic simulations and applications such as computer vision, artificial intelligence, and machine learning. This paper documents the different methods employed for generating a database of mesh models of real-world objects. These methods address the tedious and time-intensive process of manually generating the models using CAD software. Essentially, DSLR/phone cameras were employed to acquire images of target object…

Efficient exploration of high-Tc superconductors by a gradient-based composition design
Akihiro Fujii, Koji Shimizu, Satoshi Watanabe
https://arxiv.org/abs/2403.13627

Efficient exploration of high-Tc superconductors by a gradient-based composition design
We propose a material design method via gradient-based optimization on compositions, overcoming the limitations of traditional methods: exhaustive database searches and conditional generation models. It optimizes inputs via backpropagation, aligning the model's output closely with the target property and facilitating the discovery of unlisted materials and precise property determination. Our method is also capable of adaptive optimization under new conditions without retraining. Applying to exp…

Efficient exploration of high-Tc superconductors by a gradient-based composition design
Akihiro Fujii, Koji Shimizu, Satoshi Watanabe
https://arxiv.org/abs/2403.13627

Efficient exploration of high-Tc superconductors by a gradient-based composition design
We propose a material design method via gradient-based optimization on compositions, overcoming the limitations of traditional methods: exhaustive database searches and conditional generation models. It optimizes inputs via backpropagation, aligning the model's output closely with the target property and facilitating the discovery of unlisted materials and precise property determination. Our method is also capable of adaptive optimization under new conditions without retraining. Applying to exp…