Optimal Order Execution subject to Reservation Strategies under Execution Risk

Kavli Affiliate: Cheng Peng | First 5 Authors: Xue Cheng, Peng Guo, Tai-ho Wang, , | Summary: The paper addresses the problem of meta order execution from a broker-dealer’s point of view in Almgren-Chriss model under order fill uncertainty. A broker-dealer agency is authorized to execute an order of trading on client’s behalf. The strategies […]


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A Pure Integral-Type PLL with a Damping Branch to Enhance the Stability of Grid-Tied Inverter under Weak Grids

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Zhouchen Deng, Shi Chen, Yiwei Qiu, Tianlei Zang | Summary: In a phase-locked loop (PLL) synchronized inverter, due to the strong nonlinear coupling between the PLL’s parame-ters and the operation power angle, the equivalent damping coefficient will quickly deteriorate while the power angle is close […]


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Turnkey locking of quantum-dot lasers directly grown on Si

Kavli Affiliate: John E. Bowers | First 5 Authors: Bozhang Dong, Yating Wan, Weng W. Chow, Chen Shang, Artem Prokoshin | Summary: Ultra-low-noise laser sources are crucial for a variety of applications, including microwave synthesizers, optical gyroscopes, and the manipulation of quantum systems. Silicon photonics has emerged as a promising solution for high-coherence applications due […]


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Electrical and thermal transport properties of kagome metals AV$_3$Sb$_5$ (A=K, Rb, Cs)

Kavli Affiliate: Long Zhang | First 5 Authors: Xinrun Mi, Kunya Yang, Yuhan Gan, Long Zhang, Aifeng Wang | Summary: The interplay between lattice geometry, band topology and electronic correlations in the newly discovered kagome compounds AV$_3$Sb$_5$ (A=K, Rb, Cs) makes this family a novel playground to investigate emergent quantum phenomena, such as unconventional superconductivity, […]


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On the Identifiability from Modulo Measurements under DFT Sensing Matrix

Kavli Affiliate: Zheng Zhu | First 5 Authors: Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh | Summary: Unlimited sampling was recently introduced to deal with the clipping or saturation of measurements where a modulo operator is applied before sampling. In this paper, we investigate the identifiability of the model where measurements […]


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On the Identifiability from Modulo Measurements under DFT Sensing Matrix

Kavli Affiliate: Zheng Zhu | First 5 Authors: Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh | Summary: Modulo sampling (MS) has been recently introduced to enhance the dynamic range of conventional ADCs by applying a modulo operator before sampling. This paper examines the identifiability of a measurement model where measurements are […]


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Spin current generation due to differential rotation

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Shunichiro Kinoshita, Norihiro Tanahashi, Shin Nakamura, Mamoru Matsuo | Summary: We study nonequilibrium spin dynamics in differentially rotating systems, deriving an effective Hamiltonian for conduction electrons in the comoving frame. In contrast to conventional spin current generation mechanisms that require vorticity, our theory describes spins […]


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Tunable even- and odd-denominator fractional quantum Hall states in trilayer graphene

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiwei Chen, Yan Huang, Qingxin Li, Bingbing Tong, Guangli Kuang | Summary: The fractional quantum Hall (FQH) states are exotic quantum many-body phases whose elementary charged excitations are neither bosons nor fermions but anyons, obeying fractional braiding statistics. While most FQH states are believed to have Abelian […]


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Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He | Summary: Automatic polyp segmentation plays a crucial role in the early diagnosis and treatment of colorectal cancer (CRC). However, existing methods heavily rely on fully supervised training, which requires a large amount of labeled data with […]


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Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He | Summary: Medical image segmentation plays a crucial role in computer-aided diagnosis. However, existing methods heavily rely on fully supervised training, which requires a large amount of labeled data with time-consuming pixel-wise annotations. Moreover, accurately segmenting lesions […]


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