Tootfinder

Multiple Giant Impacts and Chemical Equilibria: An Integrated Approach to Rocky Planet Formation
Haruya Maeda, Takanori Sasaki
https://arxiv.org/abs/2509.12713 https://

Multiple Giant Impacts and Chemical Equilibria: An Integrated Approach to Rocky Planet Formation
During the formation of rocky planets, the surface environments of growing protoplanets were dramatically different from those of present-day planets. The release of gravitational energy during accretion would have maintained a molten surface layer, forming a magma ocean. Simultaneously, sufficiently massive protoplanets could acquire hydrogen-rich proto-atmospheres by capturing gas from the protoplanetary disk. Chemical equilibration among the atmosphere, magma ocean, and iron core plays a key…

"Big Oil isn’t part of the clean energy push, despite its claims, study shows"
#FossilFuels #Climate #ClimateChange

Big Oil isn’t part of the clean energy push, despite its claims, study shows
A new study that mapped the portfolios of the world’s 250 biggest oil and gas companies found their deployment of renewable energy is paltry: they’re responsible for just 1.42% of the global renewable energy capacity in operation. Despite announcing ambitious plans to embrace renewables, a mere 0.1% of the primary energy they produce comes from […]

Big Oil isn’t part of the clean energy push, despite its claims, study shows https://news.mongabay.com/short-article/2025/10/big-oil-isnt-part-of-the-clean-energy-push-despite-its-claims-study-shows/

Big Oil isn’t part of the clean energy push, despite its claims, study shows
A new study that mapped the portfolios of the world’s 250 biggest oil and gas companies found their deployment of renewable energy is paltry: they’re responsible for just 1.42% of the global renewable energy capacity in operation. Despite announcing ambitious plans to embrace renewables, a mere 0.1% of the primary energy they produce comes from […]

In-Context Clustering with Large Language Models
Ying Wang, Mengye Ren, Andrew Gordon Wilson
https://arxiv.org/abs/2510.08466 https://arxiv.org/pdf/2510.08…

In-Context Clustering with Large Language Models
We propose In-Context Clustering (ICC), a flexible LLM-based procedure for clustering data from diverse distributions. Unlike traditional clustering algorithms constrained by predefined similarity measures, ICC flexibly captures complex relationships among inputs through an attention mechanism. We show that pretrained LLMs exhibit impressive zero-shot clustering capabilities on text-encoded numeric data, with attention matrices showing salient cluster patterns. Spectral clustering using attenti…

A Semantics-Aware Hierarchical Self-Supervised Approach to Classification of Remote Sensing Images
Giulio Weikmann, Gianmarco Perantoni, Lorenzo Bruzzone
https://arxiv.org/abs/2510.04916

A Semantics-Aware Hierarchical Self-Supervised Approach to Classification of Remote Sensing Images
Deep learning has become increasingly important in remote sensing image classification due to its ability to extract semantic information from complex data. Classification tasks often include predefined label hierarchies that represent the semantic relationships among classes. However, these hierarchies are frequently overlooked, and most approaches focus only on fine-grained classification schemes. In this paper, we present a novel Semantics-Aware Hierarchical Consensus (SAHC) method for learn…

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
Huang-Cheng Chou, Chi-Chun Lee
https://arxiv.org/abs/2510.05934

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
Over the past two decades, speech emotion recognition (SER) has received growing attention. To train SER systems, researchers collect emotional speech databases annotated by crowdsourced or in-house raters who select emotions from predefined categories. However, disagreements among raters are common. Conventional methods treat these disagreements as noise, aggregating labels into a single consensus target. While this simplifies SER as a single-label task, it ignores the inherent subjectivity of…

JWST/NIRSpec Observations of Salacia-Actaea and M\'ani: Exploring Population-level Trends among Water-ice-rich Kuiper Belt Objects
Ian Wong, Bryan J. Holler, Silvia Protopapa, Aur\'elie Guilbert-Lepoutre, William M. Grundy, John A. Stansberry, Heidi B. Hammel, Stefanie N. Milam, Rosario Brunetto, Joshua P. Emery, Estela Fern\'andez-Valenzuela, Noem\'i Pinilla-Alonso

JWST/NIRSpec Observations of Salacia-Actaea and Máni: Exploring Population-level Trends among Water-ice-rich Kuiper Belt Objects
We present observations of the mid-sized Kuiper belt objects (KBOs) Salacia-Actaea and Máni, obtained with the Near-Infrared Spectrograph on JWST. The satellite Actaea was fully blended with Salacia at the spatial resolution of the integral field unit, and we extracted the combined spectrum. The 0.7-5.1 ${\mathrm μ}$m reflectance spectra of Salacia-Actaea and Máni display prominent water-ice absorption bands at 1.5, 2, 3, and 4-5 ${\mathrm μ}$m. The $ν_3$ fundamental vibrational band of ca…