يعرض 1 - 10 نتائج من 26,268 نتيجة بحث عن '"Zhou, Yu"', وقت الاستعلام: 1.31s تنقيح النتائج
  1. 1
    دورية أكاديمية

    المؤلفون: Lu Kehan (ORCID 0009-0004-1427-1167), Amrita Kaur (ORCID 0000-0001-6242-5483), Zhou Yu, He Yuzhen, Huang Yuchong, Zhan Yinuo (ORCID 0009-0000-6096-4758), Mohammad Noman (ORCID 0000-0002-8900-4993)

    المصدر: Teaching & Learning Inquiry. 2024 12.

    تمت مراجعته من قبل الزملاء: Y

    Page Count: 22

    مصطلحات جغرافية: China

    مستخلص: Students' seating selection is a significant physical variable that has implications for both teachers and students. These seating preferences have been linked to students' personalities, motivation, and academic performance. However, there is limited knowledge regarding the cultural influences on these preferences. In this exploratory qualitative study, we aim to investigate the cultural factors that influence the seating choices of undergraduate students. The study participants were recruited using purposive sampling. Face-to-face interviews and scenario simulation surveys were utilized to collect data, which was analyzed using thematic analysis. The study's findings suggest that seating preferences are largely a function of individual differences and personal preferences, which often stem from personal and cultural factors. These factors are discussed under five primary themes: course academic value, gaining positive experiences, avoiding negative experiences, modesty and humility, and social belonging. These findings have implications for teaching and learning and for instructors, especially those from foreign cultures.

    Abstractor: As Provided

  2. 2
    تقرير

    المؤلفون: Zhou, Yu-Ting, Kuang, Xiao-Mei

    مصطلحات موضوعية: High Energy Physics - Theory

    الوصف: In this paper, we investigate the second-order normal quantum fluctuation on the world-sheet of a probe string in the Ba\~nados-Teitelboim-Zanelli (BTZ) black hole. These fluctuations is treated as the projection of Hawking radiation on the worldsheet and indeed modify the action growth of the string. Then in the string field theory/boundary conformal field theory framework, via the boundary vertex operator we study the correlation function of the Schr\"odinger functional of excited fields on the world-sheet and further extract the field's formula. Our study could shed light on the potential connection between complexity growth and correlation function.
    Comment: 18 pages, 2 figures

    الوصول الحر: http://arxiv.org/abs/2406.07836Test

  3. 3
    تقرير

    مصطلحات موضوعية: Computer Science - Software Engineering

    الوصف: Evaluation metrics are crucial in the field of code synthesis. Commonly used code evaluation metrics canbe classified into three types: match-based, semantic-based, and execution-based. Among them, the execution-basedPass@k metric accurately assesses the functionality of predicted code by executing test cases. However, calculatingthis metric requires a significant amount of overhead, necessitating the design of an automated evaluation metric thatcan assess the functionality of predicted code without the need for test cases. Additionally, a good evaluation metricshould be robust, that is the metric can maintain its accuracy even when the predicted code undergoes minor changes.To address these challenges, we propose an automated robust metric, called CodeScore-R, based on UniXcoder andcontrastive learning, for evaluating the functionality of code synthesis. CodeScore-R employs techniques such assketch-based processing, syntactic-equivalent transformations, and mutation testing to effectively mitigate theinterference caused by identifiers, syntax structures, and operators on evaluation results. Experimental resultsdemonstrate that in the tasks of code generation and migration in Java and Python, CodeScore-R outperforms otherevaluation metrics and is more closely aligned with the Pass@k metric, while exhibiting stronger robustness.
    Comment: in Chinese language, Journal of Computer Research and Development

    الوصول الحر: http://arxiv.org/abs/2406.06902Test

  4. 4
    تقرير

    الوصف: With the rapid proliferation of mobile devices and data, next-generation wireless communication systems face stringent requirements for ultra-low latency, ultra-high reliability, and massive connectivity. Traditional AI-driven wireless network designs, while promising, often suffer from limitations such as dependency on labeled data and poor generalization. To address these challenges, we present an integration of self-supervised learning (SSL) into wireless networks. SSL leverages large volumes of unlabeled data to train models, enhancing scalability, adaptability, and generalization. This paper offers a comprehensive overview of SSL, categorizing its application scenarios in wireless network optimization and presenting a case study on its impact on semantic communication. Our findings highlight the potentials of SSL to significantly improve wireless network performance without extensive labeled data, paving the way for more intelligent and efficient communication systems.

    الوصول الحر: http://arxiv.org/abs/2406.06872Test

  5. 5
    تقرير

    الوصف: With the increasing demand for multi-carrier communication in high-mobility scenarios, it is urgent to design new multi-carrier communication waveforms that can resist large delay-Doppler spreads. Various multi-carrier waveforms in the transform domain were proposed for the fast time-varying channels, including orthogonal time frequency space (OTFS), orthogonal chirp division multiplexing (OCDM), and affine frequency division multiplexing (AFDM). Among these, the AFDM is a strong candidate for its low implementation complexity and ability to achieve optimal diversity. This paper unifies the waveforms based on the discrete affine Fourier transform (DAFT) by using the chirp slope factor "k" in the time-frequency representation to construct a unified design framework for high-mobility communications. The design framework is employed to verify that the bit error rate performance of the DAFT-based waveform can be enhanced when the signal-to-noise ratio (SNR) is sufficiently high by adjusting the chirp slope factor "k".

    الوصول الحر: http://arxiv.org/abs/2406.02262Test

  6. 6
    تقرير

    مصطلحات موضوعية: Computer Science - Computation and Language

    الوصف: Simultaneous Machine Translation (SiMT) generates target outputs while receiving stream source inputs and requires a read/write policy to decide whether to wait for the next source token or generate a new target token, whose decisions form a \textit{decision path}. Existing SiMT methods, which learn the policy by exploring various decision paths in training, face inherent limitations. These methods not only fail to precisely optimize the policy due to the inability to accurately assess the individual impact of each decision on SiMT performance, but also cannot sufficiently explore all potential paths because of their vast number. Besides, building decision paths requires unidirectional encoders to simulate streaming source inputs, which impairs the translation quality of SiMT models. To solve these issues, we propose \textbf{S}elf-\textbf{M}odifying \textbf{S}tate \textbf{M}odeling (SM$^2$), a novel training paradigm for SiMT task. Without building decision paths, SM$^2$ individually optimizes decisions at each state during training. To precisely optimize the policy, SM$^2$ introduces Self-Modifying process to independently assess and adjust decisions at each state. For sufficient exploration, SM$^2$ proposes Prefix Sampling to efficiently traverse all potential states. Moreover, SM$^2$ ensures compatibility with bidirectional encoders, thus achieving higher translation quality. Experiments show that SM$^2$ outperforms strong baselines. Furthermore, SM$^2$ allows offline machine translation models to acquire SiMT ability with fine-tuning.
    Comment: Accept to ACL 2024 main conference. 15 pages, 13 figures, 9 tables

    الوصول الحر: http://arxiv.org/abs/2406.02237Test

  7. 7
    تقرير

    المؤلفون: Li, Hai-Jun, Chao, Wei, Zhou, Yu-Feng

    الوصف: We obtain a stringent upper limit on axion-photon coupling from the 1038 days gamma-ray observations of the TeV blazar Markarian 421. The long-term VHE gamma-ray spectra are measured by the collaborations Fermi-LAT and HAWC from 2015 June to 2018 July. We show the best-fit SEDs of Markarian 421 under the null and axion hypotheses. Then we set the axion-photon limit in the $\{m_a, \, g_{a\gamma}\}$ plane. The 99% $\rm C.L.$ upper limit set by Markarian 421 is $g_{a\gamma} \lesssim 4.0\times 10^{-12} \rm \, GeV^{-1}$ for the axion mass $[1.0\times10^{-9} \, {\rm eV} \lesssim m_a \lesssim 1.0\times10^{-8} \, {\rm eV}]$. It is the most stringent upper limit in this axion mass region.
    Comment: 3+7 pages, 3 figures

    الوصول الحر: http://arxiv.org/abs/2406.00387Test

  8. 8
    تقرير

    الوصف: LiteBIRD, a forthcoming JAXA mission, aims to accurately study the microwave sky within the 40-400 GHz frequency range divided into 15 distinct nominal bands. The primary objective is to constrain the CMB inflationary signal, specifically the primordial B-modes. LiteBIRD targets the CMB B-mode signal on large angular scales, where the primordial inflationary signal is expected to dominate, with the goal of reaching a tensor-to-scalar ratio sensitivity of $\sigma_r\sim0.001$. LiteBIRD frequency bands will be split among three telescopes, with some overlap between telescopes for better control of systematic effects. Here we report on the development status of the detector arrays for the Low Frequency Telescope (LFT), which spans the 34-161 GHz range, with 12 bands subdivided between four types of trichroic pixels consisting of lenslet-coupled sinuous antennas. The signal from the antenna is bandpass filtered and sensed by AlMn Transition-Edge Sensors (TES). We provide an update on the status of the design and development of LiteBIRD's LFT LF1 (40-60-78 GHz), LF2 (50-68-89 GHz) pixels. We discuss design choices motivated by LiteBIRD scientific goals. In particular we focus on the details of the optimization of the design parameters of the sinuous antenna, on-chip bandpass filters, cross-under and impedance transformers and all the RF components that define the LF1 and LF2 pixel detection chain. We present this work in the context of the technical challenges and physical constraints imposed by the finite size of the instrument.
    Comment: 12 pages, 10 figures, 1 table, SPIE 2024

    الوصول الحر: http://arxiv.org/abs/2405.19455Test

  9. 9
    تقرير

    الوصف: The intermediate-mass-ratio inspirals (IMRIs) may be surrounded by dark matter (DM) minispikes. The dynamical friction from these DM minispike structures can affect the dynamics and the gravitational wave (GW) emission of the IMRIs. We analyze the effects of general dynamical friction, with a particular contribution from DM particles moving faster than the stellar-mass black hole in an eccentric IMRI. The results show that the dynamical friction caused by these DM particles tends to eccentricify the orbit, and the general dynamical friction is able to increase the eccentricity. We also analyze the effects of general dynamical friction on the GW characteristic strain. The results indicate that the peak value of the characteristic strain occurs at higher frequencies as the power law index of DM minispike $\gamma_\mathrm{sp}$ increases. For the first time, a general analytical relation between the frequency peak value of characteristic strain of GWs and $\gamma_\mathrm{sp}$ is established. Using the analytical relation, the presence of DM and its halo density may be determined potentially from future GW data.
    Comment: 7 pages, 4 figures

    الوصول الحر: http://arxiv.org/abs/2405.19240Test

  10. 10
    تقرير

    مصطلحات موضوعية: Computer Science - Artificial Intelligence

    الوصف: The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualization. This necessitates the development of efficient compression solutions. Traditional CODEC methods struggle to adapt to the diverse bioimaging data and often suffer from sub-optimal compression. In this study, we propose an adaptive compression workflow based on Implicit Neural Representation (INR). This approach permits application-specific compression objectives, capable of compressing images of any shape and arbitrary pixel-wise decompression. We demonstrated on a wide range of microscopy images from real applications that our workflow not only achieved high, controllable compression ratios (e.g., 512x) but also preserved detailed information critical for downstream analysis.

    الوصول الحر: http://arxiv.org/abs/2405.19012Test