A tyrosinase, mTyr-CNK, that is functionally available as a monophenol monooxygenase

Tyrosinase efficiently catalyzes the ortho-hydroxylation of monophenols and the oxidation of diphenols without any additional cofactors. Although it is of significant interest for the biosynthesis of catechol derivatives, the rapid catechol oxidase activity and inactivation of tyrosinase have hampered its practical utilization as a monophenol monooxygenase. Here, we prepared a functional tyrosinase that exhibited a distinguished monophenolase/diphenolase activity ratio (V max mono/ V max di = 3.83) and enhanced catalytic efficiency against L-tyrosine (k cat  = 3.33 ± 0.18 s−1, K m  = 2.12 ± 0.14 mM at 20 °C and pH 6.0). This enzyme was still highly active in ice water (>80%), and its activity was well conserved below 30 °C. In vitro DOPA modification, with a remarkably high yield as a monophenol monooxygenase, was achieved by the enzyme taking advantage of these biocatalytic properties. These results demonstrate the strong potential for this enzyme’s use as a monophenol monooxygenase in biomedical and industrial applications.113Nsciescopu

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

Inspired by the impressive performance of recent face image editing methods, several studies have been naturally proposed to extend these methods to the face video editing task. One of the main challenges here is temporal consistency among edited frames, which is still unresolved. To this end, we propose a novel face video editing framework based on diffusion autoencoders that can successfully extract the decomposed features - for the first time as a face video editing model - of identity and motion from a given video. This modeling allows us to edit the video by simply manipulating the temporally invariant feature to the desired direction for the consistency. Another unique strength of our model is that, since our model is based on diffusion models, it can satisfy both reconstruction and edit capabilities at the same time, and is robust to corner cases in wild face videos (e.g. occluded faces) unlike the existing GAN-based methods.Comment: CVPR 2023. Our project page: https://diff-video-ae.github.i

3D-aware Blending with Generative NeRFs

Image blending aims to combine multiple images seamlessly. It remains challenging for existing 2D-based methods, especially when input images are misaligned due to differences in 3D camera poses and object shapes. To tackle these issues, we propose a 3D-aware blending method using generative Neural Radiance Fields (NeRF), including two key components: 3D-aware alignment and 3D-aware blending. For 3D-aware alignment, we first estimate the camera pose of the reference image with respect to generative NeRFs and then perform 3D local alignment for each part. To further leverage 3D information of the generative NeRF, we propose 3D-aware blending that directly blends images on the NeRF's latent representation space, rather than raw pixel space. Collectively, our method outperforms existing 2D baselines, as validated by extensive quantitative and qualitative evaluations with FFHQ and AFHQ-Cat.Comment: ICCV 2023, Project page: https://blandocs.github.io/blendner

BallGAN: 3D-aware Image Synthesis with a Spherical Background

3D-aware GANs aim to synthesize realistic 3D scenes such that they can be rendered in arbitrary perspectives to produce images. Although previous methods produce realistic images, they suffer from unstable training or degenerate solutions where the 3D geometry is unnatural. We hypothesize that the 3D geometry is underdetermined due to the insufficient constraint, i.e., being classified as real image to the discriminator is not enough. To solve this problem, we propose to approximate the background as a spherical surface and represent a scene as a union of the foreground placed in the sphere and the thin spherical background. It reduces the degree of freedom in the background field. Accordingly, we modify the volume rendering equation and incorporate dedicated constraints to design a novel 3D-aware GAN framework named BallGAN. BallGAN has multiple advantages as follows. 1) It produces more reasonable 3D geometry; the images of a scene across different viewpoints have better photometric consistency and fidelity than the state-of-the-art methods. 2) The training becomes much more stable. 3) The foreground can be separately rendered on top of different arbitrary backgrounds.Comment: Project Page: https://minjung-s.github.io/ballga

3D strut-and-tie modeling for design of drilled shaft footings

Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration at the Center for Transportation Research of The University of Texas at Austin.A comprehensive study was conducted to characterize the structural response and develop design guidelines for drilled shaft footings. The study included large-scale testing and numerical analyses of footing specimens subjected to various loading conditions. A database of 35 drilled shaft footings constructed in Texas by TxDOT was established and analyzed for designing test specimens. A total of 19 large-scale specimens were designed and tested to study various design parameters and loading scenarios including vertical compression and uniaxial bending. A series of numerical analyses employing experimentally-verified models were also performed to account for the effect of additional design parameters that could not be covered in the experimental program. Based on the data and insights obtained from the experimental and numerical studies, 3D strut-and-tie modeling guidelines for drilled shaft footings are proposed by refining current provisions for 2D strut-and-tie models in AASHTO LRFD (2020). The new guidelines include the definition of the 3D nodal geometry at bearing faces, refinements for strength modification factors, critical section definitions for development of horizontal and vertical ties, and recommendations for bottom mat reinforcement configuration. Project findings have indicated that the proposed recommendations improve the accuracy of the ultimate strength predictions for a database including drilled shaft footing tests from the literature and the current study, without generating unconservative or overly conservative predictions. This represents an improvement of the accuracy achieved using the recommendations of TxDOT Project 5-5253-01. Lastly, a design example of a drilled shaft footing subjected to various loading scenarios is provided.Preprin

A Parametric Study on the Immunomodulatory Effects of Electroacupuncture in DNP-KLH Immunized Mice

This study was conducted to compare the effects of low frequency electroacupuncture (EA) and high frequency EA at acupoint ST36 on the production of IgE and Th1/Th2 cytokines in BALB/c mice that had been immunized with 2,4-dinitrophenylated keyhole limpet protein (DNP-KLH), as well as to investigate the difference in the immunomodulatory effects exerted by EA stimulations at acupoint ST36 and at a non-acupoint (tail). Female BALB/c mice were divided into seven groups: normal (no treatments), IM (immunization only), ST36-PA (IM + plain acupuncture at ST36), ST36-LEA (IM + low frequency (1 Hz) EA at ST36), ST36-HEA (IM + high frequency (120 Hz) EA at ST36), NA-LEA (IM + low frequency (1 Hz) EA at non-acupoint) and NA-HEA (IM + high frequency (120 Hz) EA at non-acupoint). EA stimulation was performed daily for two weeks, and total IgE, DNP-KLH specific IgE, IL-4 and IFN-γ levels were measured at the end of the experiment. The results of this study showed that the IgE and IL-4 levels were significantly suppressed in the ST36-LEA and ST36-HEA groups, but not in the NA-LEA and NA-HEA groups. However, there was little difference in the immunomodulatory effects observed in the ST36-LEA and ST36-HEA groups. Taken together, these results suggest that EA stimulation-induced immunomodulation is not frequency dependent, but that it is acupoint specific

Effect of Achyranthes bidentata

The present study investigated the antiobesity effect of Achyranthes bidentata Blume root water extract in a 3T3-L1 adipocyte differentiation model and rats fed with a high-fat diet. To investigate the effect of Achyranthes bidentata Blume on adipogenesis in vitro, differentiating 3T3-L1 cells in adipocyte-induction media were treated every two days with Achyranthes bidentata Blume at various concentrations (1 to 25 μg/mL) for eight days. We found that Achyranthes bidentata Blume root inhibited 3T3-L1 adipocyte differentiation without affecting cell viability, and Western blot analysis revealed that phospho-Akt expression was markedly decreased, whereas there was no significant change in perilipin expression. Furthermore, administration of Achyranthes bidentata Blume root (0.5 g/kg body weight for six weeks) to rats fed with a high-fat diet significantly reduced body weight gain without affecting food intake, and the level of triglyceride was significantly decreased when compared to those in rats fed with only a high-fat diet. These results suggest that Achyranthes bidentata Blume root water extract could have a beneficial effect on inhibition of adipogenesis and controlling body weight in rats fed with a high-fat diet

Validation of the finger counting method using the Monte Carlo simulation

Purpose The dose of drug and the size of instrument are determined based on children’s weight. We aimed to validate the finger counting method (FCM) for weight estimation in Korean children using the Monte Carlo simulation. Methods We estimated the weight of Korean children aged 1 to 9 years by the FCM. These measurements were compared with the weight extracted by the Monte Carlo simulation applied to the “2007 Korean Children and Adolescents Growth Standard.” Pearson correlation coefficients (r) were measured to assess the correlation between the weight extracted by the simulation and that estimated by FCM. Bland-Altman analyses were performed to assess the agreement between the weight extracted by the simulation and that estimated by FCM and 2 other well-known pediatric weight estimation formulas (the Advanced Pediatric Life Support and Luscombe formulas). Results Data regarding 9,000 children’s weight selected by age and gender was randomly extracted using the simulation. We found a positive correlation between the weight estimated by the FCM and the weight extracted (in boys, r = 0.896, P < 0.001; in girls, r = 0.899, P < 0.001). The FCM tended to underestimate weight in the children aged 7 years or old. Conclusion This article suggests the usefulness of FCM in weight estimation, particularly in children younger than 7 years. With appreciation of the limitation in older children, the FCM could be applied to emergency practice

Paricalcitol Pretreatment Attenuates Renal Ischemia-Reperfusion Injury via Prostaglandin E 2

The protective mechanism of paricalcitol remains unclear in renal ischemia-reperfusion (IR) injury. We investigated the renoprotective effects of paricalcitol in IR injury through the prostaglandin E2 (PGE2) receptor EP4. Paricalcitol was injected into IR-exposed HK-2 cells and mice subjected to bilateral kidney ischemia for 23 min and reperfusion for 24 hr. Paricalcitol prevented IR-induced cell death and EP4 antagonist cotreatment offset these protective effects. Paricalcitol increased phosphorylation of Akt and cyclic AMP responsive element binding protein (CREB) and suppressed nuclear factor-κB (NF-κB) in IR-exposed cells and cotreatment of EP4 antagonist or EP4 small interfering RNA blunted these signals. In vivo studies showed that paricalcitol improved renal dysfunction and tubular necrosis after IR injury and cotreatment with EP4 antagonist inhibited the protective effects of paricalcitol. Phosphorylation of Akt was increased and nuclear translocation of p65 NF-κB was decreased in paricalcitol-treated mice with IR injury, which was reversed by EP4 blockade. Paricalcitol decreased oxidative stress and apoptosis in renal IR injury. Paricalcitol also attenuated the infiltration of inflammatory cells and production of proinflammatory cytokines after IR injury. EP4 antagonist abolished these antioxidant, anti-inflammatory, and antiapoptotic effects. The EP4 plays a pivotal role in the protective effects of paricalcitol in renal IR injury