The combination of probabilistic shaping (PS) technology and forward error correction (FEC) technology can significantly boost the performance of a transmission system. In this paper, we propose a probabilistic shaping distribution matching algorithm employing uneven segmentation for data center optical networks, while keeping extremely low computational complexity for both encoding and decoding. Based on the proposed probabilistic shaping distribution matching algorithm, we develop a novel integrated scheme of PS and FEC coding that lifts the restrictions on the use of FEC technology and increases the use of interleaver. An experiment used to evaluate the probabilistically shaped data transmission is successfully conducted over a 25 km standard single-mode fiber (SSMF) with 16 quadrature amplitude modulation (16-QAM). Simultaneously, we use a simulation software to analyze the bit error rate performance at higher resolution. The results show that the joint coding scheme can achieve a 0.4dB performance improvement compared with the single FEC system.
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Sci Rep
January 2025
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Forskningsveien 3A, Oslo, 0373, Norway.
Periodic sensory inputs entrain oscillatory brain activity, reflecting a neural mechanism that might be fundamental to temporal prediction and perception. Most environmental rhythms and patterns in human behavior, such as walking, dancing, and speech do not, however, display strict isochrony but are instead quasi-periodic. Research has shown that neural tracking of speech is driven by modulations of the amplitude envelope, especially via sharp acoustic edges, which serve as prominent temporal landmarks.
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January 2025
College of Engineering, Ocean University of China, Qingdao, 266404, China.
Although deterministic analysis can provide initial insights into slope stability, there is no way to reflect the true distribution of soil properties within a slope. To further investigate the effects of the spatial variability of soil properties on the stability and failure mechanism of slope under different foundation types, this study develops a framework combining simple limit equilibrium method (LEM), Monte Carlo Simulation (MCS), and random field to incorporate these factors into slope probabilistic stability analysis. The slope models of two typical foundations (e.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Instituto de Psicologia, Universidade Federal de Uberlândia, Avenida Pará, 1720-Bloco 2C, Campus Umuarama, Uberlândia 38405-240, MG, Brazil.
(1) Background: Validated instruments to measure mental health variables related to sanitary crises can provide data for prevention or intervention plans. The objectives of this study were: (1) to evidence the psychometric factorial internal structure of the Battery for Assessing Mental Health-Pandemic Version (BASM-P) in the sample; (2) to investigate the psychosocial impact of the COVID-19 pandemic in Brazilian post-peak period among individuals with and without pre-existing psychiatric conditions using the BASM-P; and (3) to analyze relationships between the mental health variables measured by the BASM-P in both groups. (2) Methods: This is an internet-based quantitative, cross-sectional study with a non-probabilistic convenience sample.
View Article and Find Full Text PDFComput Biol Med
January 2025
School of Information Science and Engineering, Yunnan University, 650500, Kunming, China. Electronic address:
In the treatment of brain tumors, accurate diagnosis and treatment heavily rely on reliable brain tumor segmentation, where multimodal Magnetic Resonance Imaging (MRI) plays a pivotal role by providing valuable complementary information. This integration significantly enhances the performance of brain tumor segmentation. However, due to the uneven grayscale distribution, irregular shapes, and significant size variations in brain tumor images, this task remains highly challenging.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
Center for MR Research, University Children's Hospital Zurich, Zurich, Switzerland.
The human brain connectome is characterized by the duality of highly modular structure and efficient integration, supporting information processing. Newborns with congenital heart disease (CHD), prematurity, or spina bifida aperta (SBA) constitute a population at risk for altered brain development and developmental delay (DD). We hypothesize that, independent of etiology, alterations of connectomic organization reflect neural circuitry impairments in cognitive DD.
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