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110

arXiv:2502.01384v3 Announce Type: replace-cross
Abstract: Discrete diffusion models have recently gained significant attention due to their ability to process complex discrete structures for language modeling. However, fine-tuning these models with policy gradient methods, as is commonly done in Re…
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111

A new study shows that promising single-crystal battery materials degrade for reasons scientists hadn’t fully recognized before. Scientists at Argonne National Laboratory and the UChicago Pritzker School of Molecular Engineering (UChicago PME) have identified the source of a long-standing problem in…
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218

arXiv:2412.09587v3 Announce Type: replace
Abstract: We present OpenNER 1.0, a standardized collection of openly-available named entity recognition (NER) datasets. OpenNER contains 36 NER corpora that span 52 languages, human-annotated in varying named entity ontologies. We correct annotation format…
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321

arXiv:2512.16069v1 Announce Type: new
Abstract: Modular manipulators composed of pre-manufactured and interchangeable modules offer high adaptability across diverse tasks. However, their deployment requires generating feasible motions while jointly optimizing morphology and mounted pose under kinem…
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131

arXiv:2512.16334v1 Announce Type: new
Abstract: Early prediction of battery cycle life is essential for accelerating battery research, manufacturing, and deployment. Although machine learning methods have shown encouraging results, progress is hindered by data scarcity and heterogeneity arising fro…
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438

Researchers from the National University of Singapore (NUS) have developed an electrochemical reaction manifold that promotes efficient nitrogen atom insertion into saturated carbocycles to access either functionalized quinolines or N-alkylated saturated N heterocycles, both of which are privileged …
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110

Researchers demonstrated that newly developed molecules designed to block an immune checkpoint can trigger a powerful immune response against tumors. Scientists at MIT and Stanford University have introduced a new method for activating the immune system to recognize and attack cancer cells, offering…
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109

arXiv:2106.12905v2 Announce Type: replace
Abstract: Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of public health. In this study, we reviewed the application of neural ne…
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230

A new stem cell–based therapy challenges traditional pain treatment by using pain-sensing neurons to reduce inflammation and protect joints. Newly released preclinical data describes an unconventional strategy for managing chronic pain while helping preserve joint tissue. The findings focus on SN101…
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322

arXiv:2512.16269v1 Announce Type: new
Abstract: We introduce a numerical framework for reconstructing the potential in two dimensional semilinear elliptic PDEs with power type nonlinearities from the nonlinear Dirichlet to Neumann map. By applying higher order linearization method, we compute the F…
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109

arXiv:2512.15767v1 Announce Type: new
Abstract: Simulating complex unsteady physical phenomena relies on detailed mathematical models, simulated for instance by using the Finite Element Method (FEM). However, these models often exhibit discrepancies from the reality due to unmodeled effects or simp…
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108

arXiv:2512.16624v1 Announce Type: new
Abstract: Learning-based model predictive control has emerged as a powerful approach for handling complex dynamics in mechatronic systems, enabling data-driven performance improvements while respecting safety constraints. However, when computational resources a…
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109

Abstract
We present a suite of algorithmic techniques for handling substitution tilings by treating a tile's hierarchy of supertiles in a purely combinatorial fashion using finite state automata. The resulting techniques are very convenient for practical generation of patches of tilings such as hats…
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