arXiv:2602.22361v1 Announce Type: new Abstract: This paper proposes a novel medical image segmentation framework, MNAS-Unet, which combines Monte Carlo Tree Search (MCTS) and Neural Architecture Search (NAS). MNAS-Unet dynamically explores promising network architectures through MCTS, significantly enhancing the efficiency and accuracy of architecture search. It also optimizes the DownSC and UpSC unit structures, enabling fast and precise model adjustments. Experimental results demonstrate that MNAS-Unet outperforms NAS-Unet and other state-of-the-art models in segmentation accuracy on several medical image datasets, […]

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arXiv:2601.10956v1 Announce Type: new Abstract: One’s profession is an essential part of modern life. Traditionally, professional development has been criticized for excluding people with disabilities. People with visual impairments, for example, face disproportionately low employment rates, highlighting persistent gaps in professional opportunities. Recently, there has been growing research on social media platforms as spaces for more equitable career development approaches. In this paper, we present an interview study on the professional development experiences of 60 people with visual […]

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In this edition of our Haskell in Production series, we interview FINN.no, a Norwegian digital marketplace for classified ads. We spoke with Karsten Mevassvik, the Technical Domain Expert (Tech Lead) of the AdView team, and Torgeir Strand Henriksen, a full-time Haskell developer, about their experience with Haskell and their general approach to web development. Interview with FINN Could you give a brief introduction to yourselves and your company? Karsten: You can think of FINN.no as “the eBay of […]

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arXiv:2604.13042v1 Announce Type: new Abstract: Semantic data harmonisation is a central requirement in the ILIAD project, where heterogeneous environmental data must be harmonised according to the Ocean Information Model (OIM), a modular family of ontologies for enabling the implementation of interoperable Digital Twins of the Ocean. Existing approaches to Semantic Data Harmonisation, such as RML and OTTR, offer valuable abstractions but require extensive knowledge of the technical intricacies of the OIM and the Semantic Web standards, including namespaces, […]

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“Social reputation” keeps turning up on every timeline with the confidence of a solved problem. It’s pitched as the missing layer. The thing that will finally let DeFi graduate from over-collateralized lending into something resembling real credit. The thing that will make identity usable without surrendering to surveillance. The thing that will push the ecosystem toward maturity—clean it up, make it legible, make it safer. I understand the itch. DeFi has spent years pretending that credit is an […]

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arXiv:2601.08878v1 Announce Type: new Abstract: Text-based online counselling scales across geographical and stigma barriers, yet faces practitioner shortages, lacks non-verbal cues and suffers inconsistent quality assurance. Whilst artificial intelligence offers promising solutions, its use in mental health counselling raises distinct ethical challenges. This paper analyses three AI implementation approaches – autonomous counsellor bots, AI training simulators and counsellor-facing augmentation tools. Drawing on professional codes, regulatory frameworks and scholarly literature, we identify four ethical principles – privacy, fairness, autonomy […]

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Although multi-view unsupervised feature selection (MUFS) has demonstrated success in dimensionality reduction for unlabeled multi-view data, most existing methods reduce feature redundancy by focusing on linear correlations among features but often overlook complex nonlinear dependencies. This limits the effectiveness of feature selection. In addition, existing methods fuse similarity graphs from multiple views by employing sample-invariant weights to preserve local structure. However, this process fails to account for differences in local neighborhood clarity among samples within each view, thereby […]

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