Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration

Posted by dbos Caltech

Kavli Affiliate: Changhuei Yang | First 5 Authors: Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang, | Summary: Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and cost-effective method for monitoring cerebral blood flow (CBF). However, extracting accurate CBF from SCOS necessitates precise noise pre-calibration. Errors from this can degrade CBF measurement fidelity, particularly […]


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YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Dahang Wan, Rongsheng Lu, Yang Fang, Xianli Lang, Shuangbao Shu | Summary: Multispectral object detection, which integrates information from multiple bands, can enhance detection accuracy and environmental adaptability, holding great application potential across various fields. Although existing methods have made progress in cross-modal interaction, low-light conditions, and […]


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Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies

Posted by Caltech

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Richard M. Murray, Morteza Gharib, , | Summary: Quadrotor Morpho-Transition, or the act of transitioning from air to ground through mid-air transformation, involves complex aerodynamic interactions and a need to operate near actuator saturation, complicating controller design. In recent work, morpho-transition has been studied from […]


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Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong | Summary: Peptide sequencing-the process of identifying amino acid sequences from mass spectrometry data-is a fundamental task in proteomics. Non-Autoregressive Transformers (NATs) have proven highly effective for this task, outperforming traditional methods. Unlike autoregressive models, which generate […]


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Excitations and dynamical structure factor of $J_1-J_2$ spin-$3/2$ and spin-$5/2$ Heisenberg spin chains

Posted by dbos Delft

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Aman Sharma, Mithilesh Nayak, Natalia Chepiga, Frédéric Mila, | Summary: We study the dynamical structure factor of the frustrated spin-$3/2$ $J_1$-$J_2$ Heisenberg chains, with particular focus on the partially dimerized phase that emerges between two Kosterlitz-Thouless transitions. Using a valence bond solid ansatz corroborated by density matrix […]


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Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang | Summary: Large vision-language models (LVLMs) have demonstrated outstanding performance in many downstream tasks. However, LVLMs are trained on large-scale datasets, which can pose privacy risks if training images contain sensitive information. Therefore, it is important to […]


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Ising versus infinite randomness criticality in arrays of Rydberg atoms trapped with non-perfect tweezers

Posted by dbos Delft

Kavli Affiliate: Natalia Chepiga | First 5 Authors: Jose Soto-Garcia, Natalia Chepiga, , , | Summary: Chains of Rydberg atoms have emerged as an amazing platform for simulating quantum physics in low dimensions. This remarkable success is due to the versatility of lattice geometries achieved by trapping neutral atoms with optical tweezers. On a given […]


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The Throughput Gain of Hypercycle-level Resource Reservation for Time-Triggered Ethernet

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Peng Wang, Suman Sourav, Binbin Chen, Hongyan Li, Feng Wang | Summary: Time-Triggered Communication is a key technology for many safety-critical systems, with applications spanning the areas of aerospace and industrial control. Such communication relies on time-triggered flows, with each flow consisting of periodic packets originating from […]


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Magnon-magnon interaction induced by nonlinear spin wave dynamics

Posted by klaurent Delft

Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Matteo Arfini, Matteo Arfini, , , | Summary: We experimentally and theoretically demonstrate that nonlinear spin-wave dynamics can induce an effective resonant interaction between non-resonant magnon modes in a yttrium iron garnet disk. Under strong pumping near the ferromagnetic resonance mode, we observe […]


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