Tootfinder

#VendrediLecture
Mishima, "La Musique", et son narrateur détestable (Š dessein), psy.
«Un corps de femme[…] ressemble Š une grande ville.[…] C'était ainsi que je voyais Reiko, allongée Š cet instant devant moi.[…] je me trouvais comme dans le QG d'un service d'espionnage qui aurait détenu l'ensemble des données relatives Š cette ville. „Allez-y, dites sans co…

Nardwuar vs. The Linda Lindas
#music #interview

A novel approach for classifying Monoamine Neurotransmitters by applying Machine Learning on UV plasmonic-engineered Auto Fluorescence Time Decay Series (AFTDS)
Mohammad Mohammadi, Sima Najafzadehkhoei, George Vega Yon, Yunshan Wang
https://arxiv.org/abs/2507.07227

A novel approach for classifying Monoamine Neurotransmitters by applying Machine Learning on UV plasmonic-engineered Auto Fluorescence Time Decay Series (AFTDS)
This study introduces a hybrid approach integrating advanced plasmonic nanomaterials and machine learning (ML) for high-precision biomolecule detection. We leverage aluminum concave nanocubes (AlCNCs) as an innovative plasmonic substrate to enhance the native fluorescence of neurotransmitters, including dopamine (DA), norepinephrine (NE), and 3,4-Dihydroxyphenylacetic acid (DOPAC). AlCNCs amplify weak fluorescence signals, enabling probe-free, label-free detection and differentiation of these m…

Nardwuar vs. Sabrina Carpenter
#music

When Simpler Wins: Facebooks Prophet vs LSTM for Air Pollution Forecasting in Data-Constrained Northern Nigeria
Habeeb Balogun, Yahaya Zakari
https://arxiv.org/abs/2508.16244 ht…

When Simpler Wins: Facebooks Prophet vs LSTM for Air Pollution Forecasting in Data-Constrained Northern Nigeria
Air pollution forecasting is critical for proactive environmental management, yet data irregularities and scarcity remain major challenges in low-resource regions. Northern Nigeria faces high levels of air pollutants, but few studies have systematically compared the performance of advanced machine learning models under such constraints. This study evaluates Long Short-Term Memory (LSTM) networks and the Facebook Prophet model for forecasting multiple pollutants (CO, SO2, SO4) using monthly obse…

I remember the claims from 30 or so years ago that only conventional high input agriculture could feed the world - support by data on yields of organic farming vs high input farming. And I remember the counter argument - that growing organic products on land that had been degraded, was bound to produce lower yields. (Organic certification required a several year transition phase.) And now I see:
"A critical challenge for many farms transitioning to regenerative farming is that …

I remember the claims from 30 or so years ago that only conventional high input agriculture could feed the world - support by data on yields of organic farming vs high input farming. And I remember the counter argument - that growing organic products on land that had been degraded, was bound to produce lower yields. (Organic certification required a several year transition phase.) And now I see:
"A critical challenge for many farms transitioning to regenerative farming is that …

I'm increasingly hesitant to click on recommended videos with intriguing-sounding titles on YouTube, especially science, lifehack, or celebrity oriented. It takes a while to realise the narrator's voice sounds off, the title was a clickbait, or that the video doesn't tell anything with substance. Then you check the channel page and you see that some poor devil with a get-rich-quick scheme in mind has churned out 85 AI(-aided) videos in the last month, amassing tens of thousands o…

‘#AI doesn’t know what an orgasm sounds like’: #audiobook #actors grapple with the rise of robot narrators | #Audiobooks | The Gu…