Tootfinder

Early Detection of Branched Broomrape (Phelipanche ramosa) Infestation in Tomato Crops Using Leaf Spectral Analysis and Machine Learning
Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Parastoo Farajpoor, Hamid Jafarbiglu, Mohsen B. Mesgaran
https://arxiv.org/abs/2509.12074

Early Detection of Branched Broomrape (Phelipanche ramosa) Infestation in Tomato Crops Using Leaf Spectral Analysis and Machine Learning
Branched broomrape (Phelipanche ramosa) is a chlorophyll-deficient parasitic weed that threatens tomato production by extracting nutrients from the host. We investigate early detection using leaf-level spectral reflectance (400-2500 nm) and ensemble machine learning. In a field experiment in Woodland, California, we tracked 300 tomato plants across growth stages defined by growing degree days (GDD). Leaf reflectance was acquired with a portable spectrometer and preprocessed (band denoising, 1 n…

Very-low-field MRI scanners: from the ideal to the real permanent magnet array
Umberto Zanovello, Alessandro Arduino, Vittorio Basso, Luca Zilberti, Alessandro Sola, Andrea Agosto, Luca Toso, Oriano Bottauscio
https://arxiv.org/abs/2509.11762

Very-low-field MRI scanners: from the ideal to the real permanent magnet array
Very-low-field MRIs are becoming increasingly popular due to their portability and adaptability to different environments. They are being successfully used for various clinical applications, leading to a paradigm shift in the way imaging care is typically performed. The development of low-cost MRI scanner prototypes began a few years ago, with some interesting and promising open-source projects emerging in both hardware and software design. Using permanent magnets (PMs) to generate the static m…

"Big Oil isn’t part of the clean energy push, despite its claims, study shows"
#FossilFuels #Climate #ClimateChange

Big Oil isn’t part of the clean energy push, despite its claims, study shows
A new study that mapped the portfolios of the world’s 250 biggest oil and gas companies found their deployment of renewable energy is paltry: they’re responsible for just 1.42% of the global renewable energy capacity in operation. Despite announcing ambitious plans to embrace renewables, a mere 0.1% of the primary energy they produce comes from […]

Big Oil isn’t part of the clean energy push, despite its claims, study shows https://news.mongabay.com/short-article/2025/10/big-oil-isnt-part-of-the-clean-energy-push-despite-its-claims-study-shows/

Big Oil isn’t part of the clean energy push, despite its claims, study shows
A new study that mapped the portfolios of the world’s 250 biggest oil and gas companies found their deployment of renewable energy is paltry: they’re responsible for just 1.42% of the global renewable energy capacity in operation. Despite announcing ambitious plans to embrace renewables, a mere 0.1% of the primary energy they produce comes from […]

Evidence For Turbulent Concentration In Particle-Laden Midplane Layers of Planet-Forming Disks
Orkan M. Umurhan, Debanjan Sengupta, Paul R. Estrada
https://arxiv.org/abs/2508.05858

Evidence For Turbulent Concentration In Particle-Laden Midplane Layers of Planet-Forming Disks
In this study we investigate the axisymmetric, weakly turbulent state of settled particle layers in a localized model of a protoplanetary disk. We focus on conditions in which the large-scale axisymmetric filaments typically associated with the streaming instability (SI) either cannot form or have not yet developed. Under these circumstances, we observe small-scale particle clumping consistent with turbulent concentration (TC), in which short particle filaments collect along regions of high gas…

LAPIS: A Performance Portable, High Productivity Compiler Framework
Brian Kelley, Sivasankaran Rajamanickam
https://arxiv.org/abs/2509.25605 https://arxiv.…

LAPIS: A Performance Portable, High Productivity Compiler Framework
Portability, performance, and productivity are three critical dimensions for evaluating a programming model or compiler infrastructure. Several modern programming models for computational science focus on performance and portability. On the other end, several machine learning focused programming models focus on portability and productivity. A clear solution that is strong in all three dimensions has yet to emerge. A second related problem arises when use cases from computational science converg…

MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML
Haoyu Dong, Pengkun Zhang, Mingzhe Lu, Yanzhen Shen, Guolin Ke
https://arxiv.org/abs/2509.06806

MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML
Large language models (LLMs) possess broad world knowledge and strong general-purpose reasoning ability, yet they struggle to learn from many in-context examples on standard machine learning (ML) tasks, that is, to leverage many-shot demonstrations purely via in-context learning (ICL) without gradient descent. We introduce MachineLearningLM, a portable continued-pretraining framework that equips a general-purpose LLM with robust in-context ML capability while preserving its general knowledge an…

8 coax lanes, DC - 70 GHz, solderless compression fit... *drool*
https://www.hubersuhner.com/en/newsroom/blog-and-literature/blog/introducing-mxpd70-the-next-step-in-multicoax-test-solut…

FastTrack: a fast method to evaluate mass transport in solid leveraging universal machine learning interatomic potential
Hanwen Kang, Tenglong Lu, Zhanbin Qi, Jiandong Guo, Sheng Meng, Miao Liu
https://arxiv.org/abs/2508.10505

FastTrack: a fast method to evaluate mass transport in solid leveraging universal machine learning interatomic potential
We introduce a rapid, accurate framework for computing atomic migration barriers in crystals by combining universal machine learning force fields (MLFFs) with 3D potential energy surface sampling and interpolation. Our method suppresses periodic self interactions via supercell expansion, builds a continuous PES from MLFF energies on a spatial grid, and extracts minimum energy pathways without predefined NEB images. Across twelve benchmark electrode and electrolyte materials including LiCoO2, Li…

High-resolution simulations of disc tearing in the GW Orionis triple system
Alison K. Young
https://arxiv.org/abs/2509.09317 https://arxiv.org/pdf/2509.093…

High-resolution simulations of disc tearing in the GW Orionis triple system
The disc around the pre-main-sequence triple star system GW Orionis is known from observations to be warped and broken. Theoretical modelling has produced conflicting results regarding the mechanism responsible for breaking the disc. Analytical predictions for the measured parameters of GW Ori suggest the disc is only marginally stable to tearing. We present new high-resolution simulations of GW Ori that replicate the wavelike regime expected in thick, low-turbulence protoplanetary discs for th…