Tootfinder

Evidence for single variant in altermagnetic RuO2(101) thin films
Cong He, Zhenchao Wen, Jun Okabayashi, Yoshio Miura, Tianyi Ma, Tadakatsu Ohkubo, Takeshi Seki, Hiroaki Sukegawa, Seiji Mitani
https://arxiv.org/abs/2508.13720

Evidence for single variant in altermagnetic RuO2(101) thin films
Altermagnetism presents intriguing possibilities for spintronic devices due to its unique combination of strong spin-splitting and zero net magnetization. However, realizing its full potential hinges on fabricating single-variant altermagnetic thin films. In this work, we present definitive evidence for the formation of single-variant altermagnetic RuO2(101) thin films with fully epitaxial growth on Al2O3(1-102) r-plane substrates, confirmed through rigorous structural analyses using X-ray diff…

Was für ein Verlust für die Kölner Kinoszene. Bernhard Marsch, zentrale Figur des Filmclub 813, ist Sonntagabend bei einem Unfall verstorben.
https://www.filmstiftung.de/news/bernhard-marsch-verstorben/

Bernhard Marsch verstorben - Film und Medien Stiftung NRW
Der Kölner Regisseur, Drehbuchautor, Filmproduzent und Schauspieler Bernhard Marsch ist überraschend bei einem tragischen Unfall im Alter von 63 Jahren verstorben.Der 1962 geborene Filmemacher war eine engagierte Persönlichkeit der Kölner Filmszene. 1990 gehörte Marsch zu den Gründungsmitgliedern des Filmclub 813, dessen langjähriger Vorsitzender er war. Der Filmclub wurde mehrfach mit dem Kinematheksverbundspreis ausgezeichnet und gilt als fester Bestandteil der Kölner Filmkultur.

"Why Antidepressants Work Better for Some"
Key Facts:
Immune Pathways: Toll-like receptor and NF-κB pathways were consistently altered between responders and non-responders.
Neural Mechanisms: Signal transduction and GABAergic synapse pathways showed consistent changes with fluoxetine treatment.
Heterogeneity Noted: Patterns of gene expression varied across tissues, models, and individuals, emphasizing the need for larger, more targeted studies.
Paper: Sou…

Gene expression signatures of response to fluoxetine treatment: systematic review and meta-analyses - Molecular Psychiatry
Genomic (and other ‘omic) data have provided valuable insights on the pharmacological signatures of antidepressant response, but results from individual studies are largely heterogeneous. In this work, we synthesized gene expression data for fluoxetine treatment in both human patients and rodent models, to better understand biological pathways affected by treatment, as well as those that may distinguish clinical or behavioral response. Following the PRISMA guidelines, we searched the Gene Exp…

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Tianheng Ling, Vipin Singh, Chao Qian, Felix Biessmann, Gregor Schiele
https://arxiv.org/abs/2508.13905

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Extreme weather events, intensified by climate change, increasingly challenge aging combined sewer systems, raising the risk of untreated wastewater overflow. Accurate forecasting of sewer overflow basin filling levels can provide actionable insights for early intervention, helping mitigating uncontrolled discharge. In recent years, AI-based forecasting methods have offered scalable alternatives to traditional physics-based models, but their reliance on cloud computing limits their reliability …

BaMANI: Bayesian Multi-Algorithm causal Network Inference
Habibolla Latifizadeh, Anika C. Pirkey, Alanna Gould, David J. Klinke II
https://arxiv.org/abs/2508.11741 https://

BaMANI: Bayesian Multi-Algorithm causal Network Inference
Improved computational power has enabled different disciplines to predict causal relationships among modeled variables using Bayesian network inference. While many alternative algorithms have been proposed to improve the efficiency and reliability of network prediction, the predicted causal networks reflect the generative process but also bear an opaque imprint of the specific computational algorithm used. Following a ``wisdom of the crowds" strategy, we developed an ensemble learning approach …

Uniform and Tunable Structural Colors based on Ultrathin Lignin Optical Coatings
Bang An, Anran Mao, Torbjorn Pettersson, Wei Li, Shouxin Liu, Anna J. Svagan, Ravi Shanker
https://arxiv.org/abs/2508.12902

Uniform and Tunable Structural Colors based on Ultrathin Lignin Optical Coatings
Structural coloration offers a sustainable and non-fading alternative to conventional pigment- and dye-based colorants. In this study, we present a scalable strategy for generating vivid, tunable structural colors using ultrathin films of industrial kraft lignin. By employing solvent fractionation to isolate a methanol-soluble lignin fraction, followed by spin-coating onto silicon substrates, we achieve highly uniform films with controllable thickness. The observed colors originate from thin-fi…

How Warm-Glow Alters the Usability of Technology
Antonios Saravanos (New York University)
https://arxiv.org/abs/2506.14720 https://ar…

How Warm-Glow Alters the Usability of Technology
As technology increasingly aligns with users' personal values, traditional models of usability, focused on functionality and specifically effectiveness, efficiency, and satisfaction, may not fully capture how people perceive and evaluate it. This study investigates how the warm-glow phenomenon, the positive feeling associated with doing good, shapes perceived usability. An experimental approach was taken in which participants evaluated a hypothetical technology under conditions designed to evok…

Complex three-dimensional rearing environments amplify compensatory plasticity following early blindness https://www.biorxiv.org/content/10.1101/2025.05.02.651847v1 "underscoring the role of experience in directing compensatory plasticity following early sensory loss.&q…

Complex three-dimensional rearing environments amplify compensatory plasticity following early blindness
The neocortex has a remarkable capacity to alter its functional organization and connectivity in response to sensory loss, particularly if this loss occurs early in life. A key question is whether this cross-modal reorganization is driven by sensory deprivation itself or through enhanced use of the spared senses. We investigated how different rearing environments shape neural responses in primary somatosensory cortex (S1) of short-tailed opossums ( Monodelphis domestica) , following elimination…

Spin-to-charge-current conversion in altermagnetic candidate RuO$_2$ probed by terahertz emission spectroscopy
J. Jechumt\'al, O. Gueckstock, K. Jasensk\'y, Z. Ka\v{s}par, K Olejn\'ik, M. Gaerner, G. Reiss, S. Moser, P. Kessler, G. De Luca, S. Ganguly, J. Santiso, D. Scheffler, J. Z\'azvorka, P. Kuba\v{s}\v{c}\'ik, H. Reichlova, E. Schmoranzerova, P. N\v{e}mec, T. Jungwirth, P. Ku\v{z}el, T. Kampfrath, L. N\'advorn\'ik

Spin-to-charge-current conversion in altermagnetic candidate RuO$_2$ probed by terahertz emission spectroscopy
Using the THz emission spectroscopy, we investigate ultrafast spin-to-charge current conversion in epitaxial thin films of the altermagnetic candidate RuO$_2$. We perform a quantitative analysis of competing effects that can contribute to the measured anisotropic THz emission. These include the anisotropic inverse spin splitter and spin Hall effects in RuO$_2$, the anisotropic conductivity of RuO$_2$, and the birefringence of the TiO$_2$ substrate. We observe that the leading contribution to th…

Optimizers Qualitatively Alter Solutions And We Should Leverage This
Razvan Pascanu, Clare Lyle, Ionut-Vlad Modoranu, Naima Elosegui Borras, Dan Alistarh, Petar Velickovic, Sarath Chandar, Soham De, James Martens
https://arxiv.org/abs/2507.12224

Optimizers Qualitatively Alter Solutions And We Should Leverage This
Due to the nonlinear nature of Deep Neural Networks (DNNs), one can not guarantee convergence to a unique global minimum of the loss when using optimizers relying only on local information, such as SGD. Indeed, this was a primary source of skepticism regarding the feasibility of DNNs in the early days of the field. The past decades of progress in deep learning have revealed this skepticism to be misplaced, and a large body of empirical evidence shows that sufficiently large DNNs following stand…