A MEMS-based electrostatic monochromator design is projected via simulations to reach 19 meV energy resolution at 128 pA current using fringe fields and passive alignment.
On the computat ional complexity of determining poly- atomic structures by X-rays
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CombOL is a library for specifying combinatorial classes via strings, deriving generating functions, and compiling Boltzmann samplers with a novel early-rejection scheme and dynamic precision for statistical correctness.
Fewer than d/2 errors in line sums can be corrected in discrete tomography, with the bound shown to be optimal.
AL*RTA learns alternating real-time automata, terminates, and produces smaller models than NL*RTA at the expense of more queries while preserving expressive power.
Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.
AC-GATE is a lag-gated neural encoder that conditions lag-weight distributions on entity proxies to recover heterogeneous lags as structural model outputs in panel time series.
Rule 115 of reversible elementary second-order cellular automata is periodic on all finite initial configurations.
Breath acetone measured during exercise predicts post-exercise fat oxidation changes with high accuracy, but an untargeted search found no other novel VOC biomarkers.
citing papers explorer
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Design and electron optics performance of a MEMS electrostatic electron monochromator
A MEMS-based electrostatic monochromator design is projected via simulations to reach 19 meV energy resolution at 128 pA current using fringe fields and passive alignment.
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CombOL: a Library for Practical Enumeration and Boltzmann Sampling of Combinatorial Classes
CombOL is a library for specifying combinatorial classes via strings, deriving generating functions, and compiling Boltzmann samplers with a novel early-rejection scheme and dynamic precision for statistical correctness.
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Error Correction for Discrete Tomography
Fewer than d/2 errors in line sums can be corrected in discrete tomography, with the bound shown to be optimal.
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Learning Alternating Real-Time Automata
AL*RTA learns alternating real-time automata, terminates, and produces smaller models than NL*RTA at the expense of more queries while preserving expressive power.
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Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensing
Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.
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Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series
AC-GATE is a lag-gated neural encoder that conditions lag-weight distributions on entity proxies to recover heterogeneous lags as structural model outputs in panel time series.
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The Curious Case of Reversible Elementary Second Order Cellular Automaton 115
Rule 115 of reversible elementary second-order cellular automata is periodic on all finite initial configurations.
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Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath
Breath acetone measured during exercise predicts post-exercise fat oxidation changes with high accuracy, but an untargeted search found no other novel VOC biomarkers.