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Owain Rhys Davies, Welsh actor best known for roles in Twin Peaks and The OA, dies aged 44
Welsh actor Owain Rhys Davies had an impressive theatre career and was best known for his roles on cult shows The OA and Twin Peaks: The Return. Welsh actor Owain Rhys Davies, best known for his roles in cult shows Twin Peaks: The Return (2017) and The OA (2019), has died aged 44. His family announced the news in a statement: “It is with profound sadness that my father and I share the news that my brother, Owain, has passed away.
OA-CutMix: Correcting the Label Bias of CutMix
arXiv:2606.04820v1 Announce Type: new Abstract: CutMix has become the de facto standard mixing augmentation, yet its label assignment rests on a flawed assumption: The area of the pasted patch faithfully reflects its semantic contribution to the mixed image. In practice, however, patches frequently land on background regions, assigning label credit to classes whose objects are not visible.
Leptin Drives Osteoarthritis Pain Through Sensory Neuron Reprogramming Independent of Cartilage Signaling
Objective: Pain in osteoarthritis (OA) is often discordant with structural joint damage, particularly in obesity-associated OA, where adipose-derived signals may drive nociception independently of cartilage pathology. Leptin has been demonstrated to be necessary, but not sufficient, to drive obesity-associated OA. Here, we tested the hypothesis that leptin mediates OA-associated pain through sensory neuron reprogramming rather than chondrocyte-intrinsic signaling, suggesting a fat-sensory...
OOPS: Automated generation of REST API specification via LLMs
arXiv:2601.12735v2 Announce Type: replace Abstract: REST APIs, based on the REpresentational State Transfer (REST) architecture, are the primary type of Web API. The OpenAPI Specification (OAS) serves as the de facto standard for describing REST APIs and is crucial for multiple software engineering tasks. Automated OAS generation can help developers identify and correct issues in manually maintained OAS, but existing approaches rely on technology-specific rules and human expert intervention.
Training-Free Intelligibility-Guided Observation Addition for Noisy ASR
Announce Type: replace-cross Abstract: Automatic speech recognition (ASR) degrades severely in noisy environments. Although speech enhancement (SE) front-ends effectively suppress background noise, they often introduce artifacts that harm recognition. Observation addition (OA) addressed this issue by fusing noisy and SE enhanced speech, improving recognition without modifying the parameters of the SE or ASR models.
Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis
new Abstract: Temporomandibular joint osteoarthritis (TMJ OA) is a prevalent degenerative condition whose osseous changes are often subtle on cone-beam CT (CBCT), making automated detection challenging. We study how well the DINO family of self-supervised vision transformers -- DINOv1, DINOv2, DINOv2+reg, and RAD-DINO (a radiology-pretrained variant) -- transfers to CBCT, asking how much backbone adaptation is needed and of what kind. We propose a simple slice-based pipeline using Vision...
XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
arXiv:2605.30362v1 Announce Type: new Abstract: Spiking neural networks (SNNs) hold promise for demonstrating superior learning and representation capabilities in deep models. Given the tremendous success of ResNet in deep learning, it would naturally follow to train deep SNNs with residual learning. However, existing residual structures for constructing deep SNNs still present challenges of spike redundancy or information loss, as well as redundant learning.
Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation
arXiv:2606.06684v1 Announce Type: new Abstract: Hyperspectral band selection methods based on differentiable selectors can be sensitive to initialization and to extracting a final discrete subset, while prescribed band counts limit flexibility. We propose SGBR-HC (Spectral-Group Band Ranking with Hard-Concrete initialization), a two-stage method that uses a supervised spectral ranking to initialize trainable sparse gates rather than treating ranking as a fixed selection rule, letting the...
MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
arXiv:2606.01700v1 Announce Type: new Abstract: In this paper, a novel framework, MixerSENet, is introduced for hyperspectral image (HSI) classification, designed to address the challenges of computational efficiency and limited labeled data. The proposed model processes hyperspectral image patches while maintaining consistent size and resolution throughout the network, effectively decoupling the mixing of spatial and channel dimensions. Notably, MixerSENet is lightweight and computationally...
RPC Opinion: The Russia (Sanctions) (EU Exit) Regulations 2026
RPC Opinion: The Russia (Sanctions) (EU Exit) Regulations 2026 Regulatory Policy Committee opinion of the options assessment for The Russia (Sanctions) (EU Exit) Regulations 2026 Documents Details The proposal consists of amendments to The Russia (Sanctions) (EU Exit) Regulations 2019 to expand and strengthen trade, services and transport sanctions, align with international partners, and tackle circumvention. The Regulatory Policy Committee (RPC) gave a ‘green’ rating to the options...