Gestural Properties of the Non-Target Velar Stop /k/ and Its Variance with Respect to Supralaryngeal Constrictions in C2

In this study, we examine overlap-induced gestural properties in C1. Specifically, we examine the spatio-temporal properties of the non-target velar stop /k/ in Korean, as a function of three segmental contexts in C2 (pre-/h/, pre-/p/, and pre-/t/), two-boundary conditions, and two speech-rate conditions. The results show that gestural overlap with different supralaryngeal constrictions in C2 is positively correlated with the constriction duration of /k/, and is negatively correlated with the constriction maxima. Different constrictions in C2 distinctly affect the spatio-temporal properties of C1. The pre-/t/ context leads to distinct patterns in the C1 velar stop, compared to the pre-/h/ and pre-/p/ contexts. The pre-/t/ velar stops observed in most combinatoric phonological contexts have shorter constriction durations, and have greater constriction maxima for /k(#)t/. Greater constriction maxima is also observed for the within-word condition as well as for fast speech rate. The contradictory spatio-temporal properties of /k/ seem to be determined by physiological constraints on a consecutive lingual-lingual sequence, and by a higher jaw position facilitated by a coronal.The work was fully supported by NIH Grant DC-00403 conferred upon Catherine T. Best (PI) and Haskins Laboratories

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

Generative models have shown great promise in synthesizing photorealistic 3D objects, but they require large amounts of training data. We introduce SinGRAF, a 3D-aware generative model that is trained with a few input images of a single scene. Once trained, SinGRAF generates different realizations of this 3D scene that preserve the appearance of the input while varying scene layout. For this purpose, we build on recent progress in 3D GAN architectures and introduce a novel progressive-scale patch discrimination approach during training. With several experiments, we demonstrate that the results produced by SinGRAF outperform the closest related works in both quality and diversity by a large margin.Comment: CVPR 2023. Project page: https://www.computationalimaging.org/publications/singraf

Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields

Temporal interpolation often plays a crucial role to learn meaningful representations in dynamic scenes. In this paper, we propose a novel method to train spatiotemporal neural radiance fields of dynamic scenes based on temporal interpolation of feature vectors. Two feature interpolation methods are suggested depending on underlying representations, neural networks or grids. In the neural representation, we extract features from space-time inputs via multiple neural network modules and interpolate them based on time frames. The proposed multi-level feature interpolation network effectively captures features of both short-term and long-term time ranges. In the grid representation, space-time features are learned via four-dimensional hash grids, which remarkably reduces training time. The grid representation shows more than 100 times faster training speed than the previous neural-net-based methods while maintaining the rendering quality. Concatenating static and dynamic features and adding a simple smoothness term further improve the performance of our proposed models. Despite the simplicity of the model architectures, our method achieved state-of-the-art performance both in rendering quality for the neural representation and in training speed for the grid representation.Comment: CVPR 2023. Project page: https://sungheonpark.github.io/tempinterpner

The complete chloroplast genome sequence of Abies nephrolepis (Pinaceae: Abietoideae)

AbstractThe plant chloroplast (cp) genome has maintained a relatively conserved structure and gene content throughout evolution. Cp genome sequences have been used widely for resolving evolutionary and phylogenetic issues at various taxonomic levels of plants. Here, we report the complete cp genome of Abies nephrolepis. The A. nephrolepis cp genome is 121,336 base pairs (bp) in length including a pair of short inverted repeat regions (IRa and IRb) of 139 bp each separated by a small single copy (SSC) region of 54,323 bp (SSC) and a large single copy region of 66,735 bp (LSC). It contains 114 genes, 68 of which are protein coding genes, 35 tRNA and four rRNA genes, six open reading frames, and one pseudogene. Seventeen repeat units and 64 simple sequence repeats (SSR) have been detected in A. nephrolepis cp genome. Large IR sequences locate in 42-kb inversion points (1186 bp). The A. nephrolepis cp genome is identical to Abies koreana’s which is closely related to taxa. Pairwise comparison between two cp genomes revealed 140 polymorphic sites in each. Complete cp genome sequence of A. nephrolepis has a significant potential to provide information on the evolutionary pattern of Abietoideae and valuable data for development of DNA markers for easy identification and classification

PPAR Pan Agonist MHY2013 Alleviates Renal Fibrosis in a Mouse Model by Reducing Fibroblast Activation and Epithelial Inflammation

The peroxisome proliferator-activated receptor (PPAR) nuclear receptor has been an interesting target for the treatment of chronic diseases. Although the efficacy of PPAR pan agonists in several metabolic diseases has been well studied, the effect of PPAR pan agonists on kidney fibrosis development has not been demonstrated. To evaluate the effect of the PPAR pan agonist MHY2013, a folic acid (FA)-induced in vivo kidney fibrosis model was used. MHY2013 treatment significantly controlled decline in kidney function, tubule dilation, and FA-induced kidney damage. The extent of fibrosis determined using biochemical and histological methods showed that MHY2013 effectively blocked the development of fibrosis. Pro-inflammatory responses, including cytokine and chemokine expression, inflammatory cell infiltration, and NF-κB activation, were all reduced with MHY2013 treatment. To demonstrate the anti-fibrotic and anti-inflammatory mechanisms of MHY2013, in vitro studies were conducted using NRK49F kidney fibroblasts and NRK52E kidney epithelial cells. In the NRK49F kidney fibroblasts, MHY2013 treatment significantly reduced TGF-β-induced fibroblast activation. The gene and protein expressions of collagen I and α-smooth muscle actin were significantly reduced with MHY2013 treatment. Using PPAR transfection, we found that PPARγ played a major role in blocking fibroblast activation. In addition, MHY2013 significantly reduced LPS-induced NF-κB activation and chemokine expression mainly through PPARβ activation. Taken together, our results suggest that administration of the PPAR pan agonist effectively prevented renal fibrosis in both in vitro and in vivo models of kidney fibrosis, implicating the therapeutic potential of PPAR agonists against chronic kidney diseases

예술 사진기법을 응용한 영상 세부묘사 향상

22kc

Ultrabroadband 2D electronic spectroscopy as a tool for direct visualization of pathways of energy flow

Two-dimensional electronic spectroscopy (2DES) has emerged as an incisive tool for mapping out energy relaxation pathways in complex molecular systems by determining correlation maps between the excitation and emission frequencies. Its enhanced spectral as well as temporal resolution offer new insights into coupling and energy transfer between closely-spaced energy states, which are often hidden in a one-dimensional transient spectrum. However, a major drawback of the current 2DES technique is that the spectral window of detection is directly limited to the laser bandwidth used, which leads to an incomplete visualization of the full energy landscape of the system. As a solution to this limitation, we present an ultrabroadband 2DES apparatus utilizing a 8-fs, 185-nm bandwidth supercontinuum that covers the entire visible region. We demonstrate the utility of our setup by measuring the 2D spectra of laser dyes absorbing at different regions of the laser spectrum, and the major light-harvesting complex of spinach