RESUMO
Three-dimensional mesh post-processing is an important task because low-precision hardware and a poor capture environment will inevitably lead to unordered point clouds with unwanted noise and holes that should be suitably corrected while preserving the original shapes and details. Although many 3D mesh data-processing approaches have been proposed over several decades, the resulting 3D mesh often has artifacts that must be removed and loses important original details that should otherwise be maintained. To address these issues, we propose a novel 3D mesh completion and denoising system with a deep learning framework that reconstructs a high-quality mesh structure from input mesh data with several holes and various types of noise. We build upon SpiralNet by using a variational deep autoencoder with anisotropic filters that apply different convolutional filters to each vertex of the 3D mesh. Experimental results show that the proposed method enhances the reconstruction quality and achieves better accuracy compared to previous neural network systems.
Assuntos
Artefatos , Redes Neurais de Computação , Anisotropia , CabeçaRESUMO
Binaural beat (BB) has been investigated as a potential modality to enhance sleep quality. In this study, we introduce a new form of BB, referred to as dynamic BB (DBB), which incorporates dynamically changing carrier frequency differences between the left and right ears. Specifically, the carrier frequency of the right ear varied between 100 and 103 Hz over a period, while the left ear remained fixed at 100 Hz, yielding a frequency difference range of 0 to 3 Hz. The objective of this study was to examine the effect of DBB on sleep quality. Ten healthy participants were included in a cross-over design, where they experienced both DBB and a SHAM (absence of sound) condition across two consecutive nights, with polysomnography evaluation. DBB was administrated during pre-sleep initiation, sleep onset, and transition from rapid-eye-movement (REM) to non-REM stage. DBB significantly reduced sleep latency compared to the SHAM condition. Electrocardiogram analysis revealed that exposure to DBB led to diminished heart rate variability during the pre-sleep initiation and sleep onset periods, accompanied by a decrease in low frequency power of heart rate during the sleep onset period. DBB might be effective in improving the sleep quality, suggesting its possible application in insomnia treatments.
RESUMO
OBJECTIVES: The Surviving Sepsis Campaign has recommended that antibiotic therapy should be started within the first hour of recognizing severe sepsis. Procalcitonin has recently been proposed as a biomarker of bacterial infection, although the quantitative procalcitonin assay is often time consuming, and it is not always available in many emergency departments (EDs). Our aim is to evaluate usefulness of the semiquantitative procalcitonin fast kit as a guideline for starting antibiotic administration for patients with severe sepsis or septic shock that requires prompt antibiotic therapy in the ED. METHODS: We include those patients who were admitted to the ED and who were suspected of having infection. The procalcitonin concentration was determined by semiquantitative PCT-Q strips, and the points of the severity scoring system were calculated. The receiver operating characteristic curve was used to assess the diagnostic value of the PCT-Q strips to predict severe sepsis or septic shock. RESULTS: Of the 80 recruited patients, 33 patients were categorized as having severe sepsis or septic shock according to the definition. At a procalcitonin cutoff level of 2 ng/mL or greater, the sensitivity of the PCT-Q for detecting severe sepsis or septic shock was 93.94% and the specificity was 87.23. The receiver operating characteristic curve for PCT-Q to predict severe sepsis or septic shock had an area under the curve of 0.916. CONCLUSION: PCT-Q is probably a fast, useful method for detecting severe sepsis in the ED, and it can be used as a guideline for antibiotic treatment.