Tootfinder

Cooper Beebe injury: Cowboys center expected to miss 6-8 weeks with high ankle sprain, per report

https://www.cbssports.com/nfl/news/cooper-

"Two cats, one car."
Forgive the blur but it's hard to get the focus right when you're laying flat on the grass, in bright sun, barely seeing the screen.
#cat #caturday #CatsOfMastodon

Bin ich zu blöd, meine Tastatur richtig einzustellen oder hat Samsung es wirklich fertig gebracht, beim aktuellen Update alle Wortvorschläge in den KI-Assistenten zu verlegen?
Ich kotz im Strahl, echt!
#ForceFedAI
Eckdaten: #Samsung Galaxy S24 , OneUI 8.0

#LB Eu acho que realmente preciso ler Terry Pratchett rs.
https://frikiverse.zone/@terrybot/115036206410170877

FIRESPARQL: A LLM-based Framework for SPARQL Query Generation over Scholarly Knowledge Graphs
Xueli Pan, Victor de Boer, Jacco van Ossenbruggen
https://arxiv.org/abs/2508.10467 …

FIRESPARQL: A LLM-based Framework for SPARQL Query Generation over Scholarly Knowledge Graphs
Question answering over Scholarly Knowledge Graphs (SKGs) remains a challenging task due to the complexity of scholarly content and the intricate structure of these graphs. Large Language Model (LLM) approaches could be used to translate natural language questions (NLQs) into SPARQL queries; however, these LLM-based approaches struggle with SPARQL query generation due to limited exposure to SKG-specific content and the underlying schema. We identified two main types of errors in the LLM-generat…

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…

FORGIVENESS

May the tide
never tire of its tender toil
how over and over
it forgives the Moon
the daily exile
and returns to turn
mountains into sand
     as if to say,
you too can have
this homecoming
you too possess
this elemental power
of turning
the stone in the heart
into golden dust.
— Maria Popova
#Poetry

Branched Broomrape Detection in Tomato Farms Using Satellite Imagery and Time-Series Analysis
Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Parastoo Farajpoor, Hamid Jafarbiglu, Mohsen Mesgaran
https://arxiv.org/abs/2509.10804

Branched Broomrape Detection in Tomato Farms Using Satellite Imagery and Time-Series Analysis
Branched broomrape (Phelipanche ramosa (L.) Pomel) is a chlorophyll-deficient parasitic plant that threatens tomato production by extracting nutrients from the host, with reported yield losses up to 80 percent. Its mostly subterranean life cycle and prolific seed production (more than 200,000 seeds per plant, viable for up to 20 years) make early detection essential. We present an end-to-end pipeline that uses Sentinel-2 imagery and time-series analysis to identify broomrape-infested tomato fie…

I'm sorry,
Please forgive me,
Thank you,
I love you.
#Hooponopono

Climate Data for Power Systems Applications: Lessons in Reusing Wildfire Smoke Data for Solar PV Studies
Arleth Salinas, Irtaza Sohail, Valerio Pascucci, Pantelis Stefanakis, Saud Amjad, Aashish Panta, Roland Schigas, Timothy Chun-Yiu Chui, Nicolas Duboc, Mostafa Farrokhabadi, Roland Stull
https://arxiv.org/abs/2509.09888

Climate Data for Power Systems Applications: Lessons in Reusing Wildfire Smoke Data for Solar PV Studies
Data reuse is using data for a purpose distinct from its original intent. As data sharing becomes more prevalent in science, enabling effective data reuse is increasingly important. In this paper, we present a power systems case study of data repurposing for enabling data reuse. We define data repurposing as the process of transforming data to fit a new research purpose. In our case study, we repurpose a geospatial wildfire smoke forecast dataset into a historical dataset. We analyze its effica…