Complete mitochondrial genomic sequence of Auricularia delicata (Auriculariaceae), an edible Chinese mushroom.

Auricularia delicata (Mont.) Henn. 1893 is an edible and medicinal jelly mushroom popular in China. Here, we report the assembly and annotation of a complete A. delicata mitochondrial genome based on data sequenced using an Illumina NovaSeq 6000 platform. The length of the complete circular A. delicata mitochondrial genome is 189,696 bp, with a GC content of 34.1%. The A. delicata mitochondrial genome contains 60 genes, including 32 protein-coding genes, 26 tRNA genes, and two rRNA genes. Phylogenetic analysis indicated that A. delicata clustered with the Auricularia group, alongside A. auricula-judae and A. heimuer. Additionally, A. delicata was found to be genetically distant from other species of Polyporales, Russulales, and Agaricales. This genome will provide an invaluable reference for the continued study and utilization of A. delicata and other Auricularia species.

Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation.

The recent emerging alternative to classic numerical Fast Fourier transform (FFT) computation, based on GHz ultrasonic waves generated from and detected by piezoelectric transducers for wavefront computing (WFC), is more efficient and energy-saving. In this paper, we present comprehensive studies on the modeling and simulation methods for ultrasonic WFC computation. We validate the design of the WFC system using ray-tracing, Fresnel diffraction (FD), and the full-wave finite element method (FEM). To effectively simulate the WFC system for inputs of 1-D signals and 2-D images, we verified the design parameters and focal length of an ideal plano-concave lens using the ray-tracing method. We also compared the analytical FFT solution with our Fourier transform (FT) results from 3-D and 2-D FD and novel 2-D full wave FEM simulations of a multi-level Fresnel lens with 1-D signals and 2-D images as inputs. Unlike the previously reported WFC system which catered only for 2-D images, our proposed method also can solve the 1-D FFT effectively. We validate our proposed 2-D full wave FEM simulation method by comparing our results with the theoretical FFT and Fresnel diffraction method. The FFT results from FD and FEM agree well with the digitally computed FFT, with computational complexity reduced from [Formula: see text] to O(N) for 2-D FFT, and from O(NlogN) to O(N) for 1-D FFT with a large number of signal sampling points N.

Scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering.

Image-based geometric modeling and novel view synthesis based on sparse large-baseline samplings are challenging but important tasks for emerging multimedia applications such as virtual reality and immersive telepresence. Existing methods fail to produce satisfactory results due to the limitation on inferring reliable depth information over such challenging reference conditions. With the popularization of commercial light field (LF) cameras, capturing LF images (LFIs) is as convenient as taking regular photos, and geometry information can be reliably inferred. This inspires us to use a sparse set of LF captures to render high-quality novel views globally. However, the fusion of LF captures from multiple angles is challenging due to the scale inconsistency caused by various capture settings. To overcome this challenge, we propose a novel scale-consistent volume rescaling algorithm that robustly aligns the disparity probability volumes (DPV) among different captures for scale-consistent global geometry fusion. Based on the fused DPV projected to the target camera frustum, novel learning-based modules (i.e., the attention-guided multi-scale residual fusion module, and the disparity field-guided deep re-regularization module), which comprehensively regularize noisy observations from heterogeneous captures for high-quality rendering of novel LFIs, have been proposed. Both quantitative and qualitative experiments over the Stanford Lytro Multi-view LF dataset show that the proposed method outperforms state-of-the-art methods significantly under different experiment settings for disparity inference and LF synthesis.

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration.

High Dynamic Range (HDR) imaging via multi-exposure fusion is an important task for most modern imaging platforms. In spite of recent developments in both hardware and algorithm innovations, challenges remain over content association ambiguities caused by saturation, motion, and various artifacts introduced during multi-exposure fusion such as ghosting, noise, and blur. In this work, we propose an Attention-guided Progressive Neural Texture Fusion (APNT-Fusion) HDR restoration model which aims to address these issues within one framework. An efficient two-stream structure is proposed which separately focuses on texture feature transfer over saturated regions and multi-exposure tonal and texture feature fusion. A neural feature transfer mechanism is proposed which establishes spatial correspondence between different exposures based on multi-scale VGG features in the masked saturated HDR domain for discriminative contextual clues over the ambiguous image areas. A progressive texture blending module is designed to blend the encoded two-stream features in a multi-scale and progressive manner. In addition, we introduce several novel attention mechanisms, i.e., the motion attention module detects and suppresses the content discrepancies among the reference images; the saturation attention module facilitates differentiating the misalignment caused by saturation from those caused by motion; and the scale attention module ensures texture blending consistency between different coder/decoder scales. We carry out comprehensive qualitative and quantitative evaluations and ablation studies, which validate that these novel modules work coherently under the same framework and outperform state-of-the-art methods.

Terahertz spectroscopy analysis of human corneal sublayers.

SIGNIFICANCE: Corneal diseases is a major cause of reversible blindness in the world. Monitoring the progression of human corneal edema or corneal scarring to prevent the disease entering into the end stage is crucial. AIM: We present a method for sensing human corneal composition at different depths, namely focused on the epithelium and stromal layer, using high-sensitivity terahertz (THz) broadband spectroscopy. APPROACH: From the proposed methodology, the THz temporal and absorption spectra of human corneas at different edema stages have been studied. THz wave signals were collected from the direct reflection and four other collection points along the THz wave propagation direction as reviewed from the simulation THz electrical field. RESULT: Our results show that the epithelium layer acts as a good barrier to maintain hydration level of the stroma, and the quality of the epithelium can be used to predict the level of corneal swelling in corneal edema. At the detection points near to the incident point, the THz frequency spectra demonstrated interference oscillation behavior. At the final edema observing time, results showed that the epithelium lose its barrier properties. The intactness of the epithelium can be used to predict the edema severity in the final stage. When the detection points are further away from the incident point, the THz spectra are believed to contain information from stromal layer. Stromal absorption spectra demonstrated correlation with optical coherence tomography thickness results. CONCLUSION: The hydration concentration from stromal layer was further quantitatively calculated. At the end of the experiment, all the corneal hydration levels reach to the same value which shows that the edema hydration has reached maximum saturation. The information of individual sublayers of the cornea is obtained by characterizing noninvasively with the use of THz spectroscopy. To our knowledge, this is the first report of using THz for noninvasive characterization of sublayers of the cornea.

Effect evaluation of interventional training of working memory on children with developmental dyslexia / 中国学校卫生

Objective@#To explore the effect of working memory intervention training on working memory and literacy of children with developmental dyslexia,so as to provide a preference for practice of the trianing of working memory among children with dyslexia.@*Methods@#A total of 32 children with dyslexia of grade 3-5 in a primary school in Guiyang were randomly divided into two groups: the study group (n=16) and the control group (n=16),and the software of training exercises of working memory was applied to conduct interventional trainings of different durations to 2 gruops of children.@*Results@#Through the intervention training of working memory, the scores of literacy and working memory tasks in the study group (2 217.88±252.32, 105.13±7.68) were significantly higher than those in the control group (1 907.69 ± 545.15, 96.50 ± 11.04) (t=2.06, 2.56, P<0.05).@*Conclusion@#The working memory ability of children with dyslexia can be improved by working memory intervention training for a certain period of time. The intervention effect is not only significant in the trained working memory task, but also can be extended to other untrained contents such as literacy.

Lipopolysaccharide induces apoptosis in Carassius auratus lymphocytes, a possible role in pathogenesis of bacterial infection in fish.

Lipopolysaccharide (LPS), the endotoxin of Gram-negative bacteria, is capable of eliciting a wide variety of pathophysiological effects, including endotoxin shock, tissue injury and lethality in both humans and animals. It is also a potent stimulant to initiate the proliferation, differentiation and activation of B lymphocytes and macrophages, resulting in changes of inflammatory cytokines, such as TNF-alpha, IL1-beta, IL6, IL-8 and IL-12, and enhancement of immune responses. However, little is known about its effect on the induction of apoptosis in lymphocytes. In the present study, the lymphocytes from Carassius auratus were employed for this purpose. The cells were exposed to LPS at various doses for different time periods. By careful apoptotic characteristic analysis, such as condensation of nuclear chromatin, fragmentation of genomic DNA and formation of apoptotic bodies, it provided the first evidence that LPS had apoptotic-inducing effect on fish lymphocytes in a time- and dose-dependent manner. LPS exposure induced significant increase of intracellular reactive oxygen species (ROS), loss of mitochondrial transmembrane potential (DeltaPsi), depletion of ATP production, down-regulation of Bcl-2 expression, up-regulation of Bax and mitochondrial NO-synthase (mNOS) expression, and selective activation of caspase-9 rather than caspase-8. Each of these observations suggests that the LPS-induced apoptosis in C. auratus lymphocytes occurs largely via the mitochondrial apoptotic pathway. This observation was different from the mechanism behind the LPS-induced apoptosis in mammalian macrophages/thymocytes that occurs via the TNF-alpha-mediated death-receptor pathway. Our study suggested the existence of a possible novel role in the pathogenesis of Gram-negative bacterial infection in fish and even in mammals, which may contribute to the therapy of bacterial diseases. Also, it will help to gain more insights into the mechanisms of septic shock and of LPS-induced immunosuppression and autoimmunity.