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Idris Muhammad:
🎵 Could Heaven Ever Be Like this
#IdrisMuhammad
https://redsoulmusicv2.bandcamp.com/track/idris-muhammad-could-heaven-ever-be-like-this-redsoul-edit
https://open.spotify.com/track/1xkOg49ZxldiM1ioIudwUS

Bonjour,
Je viens de signer la pétition « Déchéance du Titre de Docteur décerné Š Mr Idriss ABERKANE par l'université de Paris-Saclay ». Cette cause me tient Š cœur et j’aimerais que le plus de monde possible soit au courant et signe cette pétition.
Voici le lien:

[Pétition] Déchéance du Titre de Docteur décerné à Mr Idriss ABERKANE par l'université de Paris-Saclay
TITLE : Withdrawal of the title of Doctor awarded to Mr Idriss ABERKANE by the University of Paris-SaclayTo: French minister of National Education, Higher Education and Research; President of Universi

Raiders Early Season Schedule and How To Bet On It https://raiderramble.com/2025/06/11/raiders-early-season-schedule-and-how-to-bet-on-it/

Generalization of Cauchy type theorems for matrix Polynomials
Idrees Qasim
https://arxiv.org/abs/2506.09013 https://arxiv.org/pdf/250…

Generalization of Cauchy type theorems for matrix Polynomials
In this paper, we find bounds for the eigenvalues of matrix polynomials. In particular, we find generalizations of Cauchy's classical Theorem for distribution of eigenvalues of matrix polynomial.

Generalizations of Enestrom-Kakeya Type Theorems for matrix Polynomials
Idrees Qasim
https://arxiv.org/abs/2506.09112 https://arxiv.o…

Generalizations of Enestrom-Kakeya Type Theorems for matrix Polynomials
In this paper, we establish bounds for the eigenvalues of matrix polynomials. Specifically, we find different generalizations of the Enestrom-Kakeya Theorem for matrix polynomials.

Into the Unknown: From Structure to Disorder in Protein Function Prediction
{\DJ}esika Kolari\'c, Chi Fung Willis Chow, Rita Zi Zhu, Agnes Toth-Petroczy, T. Reid Alderson, Iva Priti\v{s}anac
https://arxiv.org/abs/2506.06004

Into the Unknown: From Structure to Disorder in Protein Function Prediction
Intrinsically disordered regions (IDRs) account for one-third of the human proteome and play essential biological roles. However, predicting the functions of IDRs remains a major challenge due to their lack of stable structures, rapid sequence evolution, and context-dependent behavior. Many predictors of protein function neglect or underperform on IDRs. Recent advances in computational biology and machine learning, including protein language models, alignment-free approaches, and IDR-specific m…

Was speaking to some journalists recently who didn't realise how long a history the use of radar has in measuring ice thickness over glaciers.
The technique was discovered by pilots, who must have had the frankly terrifying experience of landing on the ice sheet with their radars telling them they still had a few thousand metres of descent to reach the surface...
It's not mentioned in this obituary but I wonder if this guy would have seen it? Perhaps he didn't even have radar to assist in landing?
https://flipboard.com/@newyorktimes/obituaries-bq1u22g8z/-/a-gd4LiLY4RbOMXavSDWOBQQ:a:3195393-/0
newyorktimes@flipboard.com - Conrad Shinn, First Pilot to Land at the South Pole, Dies at 102
https://www.nytimes.com/2025/06/08/obituaries/conrad-shinn-dead.html?utm_source=flipboard&utm_medium=activitypub
Posted into Obituaries @obituaries-newyorktimes

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
Zhenyu Yu, Mohd. Yamani Idna Idris, Pei Wang, Yuelong Xia, Fei Ma, Rizwan Qureshi
https://arxiv.org/abs/2506.06176

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery
We propose SatelliteFormula, a novel symbolic regression framework that derives physically interpretable expressions directly from multi-spectral remote sensing imagery. Unlike traditional empirical indices or black-box learning models, SatelliteFormula combines a Vision Transformer-based encoder for spatial-spectral feature extraction with physics-guided constraints to ensure consistency and interpretability. Existing symbolic regression methods struggle with the high-dimensional complexity of…

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

Raiders Explained: Attempting To List The 8 Greatest Players In Team History https://raiderramble.com/2025/06/09/raiders-explained-attempting-to-list-the-8-greatest-players-in-team-history/