Tootfinder

Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations
Kalyan Ramakrishnan, Jonathan G. Hedley, Sisi Qu, Puneet K. Dokania, Philip H. S. Torr, Cesar A. Prada-Medina, Julien Fauqueur, Kaspar Martens
https://arxiv.org/abs/2507.02980

Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations
We train a neural network to predict distributional responses in gene expression following genetic perturbations. This is an essential task in early-stage drug discovery, where such responses can offer insights into gene function and inform target identification. Existing methods only predict changes in the mean expression, overlooking stochasticity inherent in single-cell data. In contrast, we offer a more realistic view of cellular responses by modeling expression distributions. Our model pre…

Über 15 °C morgens beim Aufstehen ist einfach falsch. Und der Sommer hat erst grad angefangen! 😭🥵
(Quelle @… https://islieb.de/hitze/)

Marcus Meyer schafft Tierskulpturen mit Holz von Bäumen, die auf Grund von Krankheit am Sterben oder bereits tot waren. Seine Tiere habe Verletzungen - die Formen sind unvollständig. Er zeigt #DieLetztenIhrerArt und macht auf das Sterben unserer Umwelt aufmerksam.
Schweinswale, kleine Tümmler sehen wir heute auch in Kieler Förde. Aber unsere Kinder und Kindeskinder?

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth Andre, J\"org Kr\"uger, Xavier Fresquet

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-career researchers from multiple fields, it explores how AI systems that simulate or interpret human emotions are reshaping our interactions in areas such as education, healthcare, mental health, caregiving, and digital life. The analysis is structured around four central themes: the ethical implications of emotional AI, …

Emergent anisotropic three-phase order in critically doped superconducting diamond films
Jyotirmay Dwivedi, Jake Morris, Saurav Islam, Kalana D. Halanayake, Gabriel A. Vazquez-Lizardi, David Snyder, Anthony Richardella, Luke Lyle, Danielle Reifsnyder Hickey, Nazar Delegan, F. Joseph Heremans, David D. Awschalom, Nitin Samarth
https://

Emergent anisotropic three-phase order in critically doped superconducting diamond films
Two decades since its discovery, superconducting heavily boron-doped diamond (HBDD) still presents unresolved fundamental questions whose resolution is relevant to the development of this material for quantum technologies. We use electrical magnetotransport measurements of critically-doped homoepitaxial single crystal HBDD films to reveal signatures of intrinsic (electronic) granular superconductivity. By studying the dependence of electrical resistivity on temperature and magnetic field vector…

New resonances at LHC
Alain Le Yaouanc, Fran\c{c}ois Richard
https://arxiv.org/abs/2506.09490 https://arxiv.org/pdf/2506.09490…

New resonances at LHC
Due to the large QCD background, the tt spectroscopy is poorly doing at LHC with the exception of a toponium type candidate observed with high statistical significance by CMS. Our previous work offers an alternate interpretation of this narrow resonance as a Kaluza Klein graviton. For heavy scalars, following ATLAS, we describe how the top loop contribution to the gluon-gluon fusion mechanisms could produce a dip rather than a bump in the mass distribution, which further complicates searches fo…