We numerically investigate the effects of probabilistic shaping on the performance improvement of coherent optical chaos communication. Results show that the decryption bit-error ratio (BER) of the 16-ary quadrature amplitude modulation (QAM) signal decreases upon increasing the probabilistic shaping factor. It is predicted that the BER of 10-GBd 16QAM can be decreased by one order of magnitude. On the other hand, for the forward error correction threshold of the BER, the requirement for synchronization quality is no longer strict for successful decryption. This means that probabilistic shaping improves the system's tolerance to residual synchronization error. Thus, the transmission rate can be increased by approximately 30∼60%. The side effect of probabilistic shaping is that the valid masking coefficient range is narrowed.
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Int 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.
View Article and Find Full Text PDFJ Neurosci
January 2025
Department of Physics, The Pennsylvania State University, University Park, PA 16802, USA
Generative models have diverse applications, including language processing and birdsong analysis. In this study, we demonstrate how a statistical test, designed to prevent overgeneralization in sequence generation, can be used to infer minimal models for the syllable sequences in Bengalese finch songs. We focus on the partially observable Markov model (POMM), which consists of states and the probabilistic transitions between them.
View Article and Find Full Text PDFFront Neurorobot
November 2024
Neuro-Robotics Laboratory, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai, Japan.
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