17 research outputs found
Rhinacanthus nasutus Extracts Prevent Glutamate and Amyloid-Îē Neurotoxicity in HT-22 Mouse Hippocampal Cells: Possible Active Compounds Include Lupeol, Stigmasterol and Îē-Sitosterol
The Herb Rhinacanthus nasutus (L.) Kurz, which is native to Thailand and Southeast Asia, has become known for its antioxidant properties. Neuronal loss in a number of diseases including Alzheimerâs disease is thought to result, in part, from oxidative stress. Glutamate causes cell death in the mouse hippocampal cell line, HT-22, by unbalancing redox homeostasis, brought about by a reduction in glutathione levels, and amyloid-Îē has been shown to induce reactive oxygen species (ROS) production. Here in, we show that ethanol extracts of R. nasutus leaf and root are capable of dose dependently attenuating the neuron cell death caused by both glutamate and amyloid-Îē treatment. We used free radical scavenging assays to measure the extracts antioxidant activities and as well as quantifying phenolic, flavonoid and sterol content. Molecules found in R. nasutus, lupeol, stigmasterol and Îē-sitosterol are protective against glutamate toxicity
A Practical Approach for Identity-Embodied 3D Artistic Face Modeling
This paper describes a practical technique for 3D artistic face modeling
where a human identity can be inserted into a 3D artistic face.
This approach can automatically extract the human identity from
a 3D human face model and then transfer it to a 3D artistic face
model in a controllable manner. Its core idea is to construct a face
geometry space and a face texture space based on a precollected
3D face dataset. Then, these spaces are used to extract and blend
the face models together based on their facial identities and styles.
This approach can enable a novice user to interactively generate
various artistic faces quickly using a slider control. Also, it can run in
real-time on an off-the-shelf computer without GPU acceleration.
This approach can be broadly used in various 3D artistic face
modeling applications such as a rapid creation of a cartoon crowd
with different cartoon characters
A Novel Visualization System for Expressive Facial Motion Data Exploration
Facial emotions and expressive facial motions have become an intrinsic part of many graphics systems and human computer interaction applications. The dynamics and high dimensionality of facial motion data make its exploration and processing challenging. In this paper, we propose a novel visualization system for expressive facial motion data exploration. Based on Principal Component Analysis (PCA) dimensionality reduction on anatomical facial sub regions, high dimensional facial motion data is mapped to 3D spaces. We further rendered it as colored 3D trajectories and color represents different emotion. We design an intuitive interface to allow users effectively explore and analyze high dimensional facial motion spaces. The applications of our visualization system on novel facial motion synthesis and emotion recognition are demonstrated
āļāļēāļĢāļāļąāļāļāļēāļĢāļ°āļāļāļŠāđāļāļāļ§āļąāļāļāļļāđāļāļ·āđāļāļāļēāļĢāļāļąāļāđāļāđāļāļāđāļāļĄāļđāļĨāļāļ·āđāļāļāļīāļ§āļŠāļēāļĄāļĄāļīāļāļīāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļŠāļđāļāļŠāļģāļŦāļĢāļąāļāļāļ·āđāļāļāļīāļ§āđāļāļāļĢāļ°āļāļēāļāđāļĨāļ°āđāļĄāđāļĢāļ°āļāļēāļDevelopment of an Object Scanning System for Storing the High Definition 3D Data of the Planar and Non-Planar Surfaces
āļāļąāļāļāļļāļāļąāļāđāļāļāđāļāđāļĨāļĒāļĩāļāļēāļāļāđāļēāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļĢāļēāļāļīāļāļŠāđāļĄāļĩāļāļ§āļēāļĄāđāļāļĢāļīāļāļāđāļēāļ§āļŦāļāđāļēāđāļāđāļāļāļĒāđāļēāļāļĄāļēāļāļāļķāļāđāļāđāļāļāļĩāđāļĄāļēāļāļāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļŠāļĢāđāļēāļāđāļāļāļāļģāļĨāļāļāļŠāļēāļĄāļĄāļīāļāļīāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļŠāļĄāļāļĢāļīāļāđāļāļ·āđāļāļāļģāđāļāđāļāđāđāļŠāļāļāļāļĨāļāļāļŦāļāđāļēāļāļāļāļāļāļāļļāļāļāļĢāļāđāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđāđāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļēāļāļāđāļēāļāļ āļēāļāļĒāļāļāļĢāđ āļ§āļīāļāļĩāđāļāđāļāļĄ āđāļāļāļīāđāļĄāļāļąāļ āļāļĢāļ°āļāļīāļĄāļēāļāļĢāļĢāļĄ āļŠāļāļēāļāļąāļāļĒāļāļĢāļĢāļĄ āļāļēāļĢāļāļāļāđāļāļāļāļĨāļīāļāļ āļąāļāļāđ āđāļāļāđāļāđāļĨāļĒāļĩāļāļ§āļēāļĄāļāļĢāļīāļāđāļŠāļĢāļīāļĄāđāļĨāļ°āļāļ§āļēāļĄāļāļĢāļīāļāđāļŠāļĄāļ·āļāļ āđāļĨāļ°āļāļēāļĢāļŠāļąāđāļāļāļīāļĄāļāđāđāļāļāļāļģāļĨāļāļāļŠāļēāļĄāļĄāļīāļāļīāļāđāļēāļāđāļāļĢāļ·āđāļāļāļāļīāļĄāļāđāļŠāļēāļĄāļĄāļīāļāļī āļāļēāļāļ§āļīāļāļąāļĒāļāļĩāđāļĄāļĩāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļ·āđāļāļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļ°āļāļāļŠāđāļāļāļ§āļąāļāļāļļāđāļāļ·āđāļāļāļēāļĢāļāļąāļāđāļāđāļāļāđāļāļĄāļđāļĨāļāļ·āđāļāļāļīāļ§āļŠāļēāļĄāļĄāļīāļāļīāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļŠāļđāļāļŠāļģāļŦāļĢāļąāļāļāļ·āđāļāļāļīāļ§āđāļāļāļĢāļ°āļāļēāļāđāļĨāļ°āđāļĄāđāļĢāļ°āļāļēāļāđāļāļĒāđāļāđāļ§āļīāļāļĩāļāļēāļĢāļāđāļēāļĒāļ āļēāļāļāļēāļāļ§āļąāļāļāļļāļāļĢāļīāļāļŦāļĨāļēāļĒāļĄāļļāļĄāļĄāļāļāļāđāļ§āļĒāļāļĨāđāļāļāļāļīāļāļīāļāļąāļĨ DSLR āđāļāļ·āđāļāđāļāđāļāļ āļēāļāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļŠāļđāļāđāļāļĒāļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļŠāļĩāļāļāļāļ āļēāļāļ§āļąāļāļāļļāđāļŦāđāļāļĢāļāļāļąāļāļŠāļĩāļāļĢāļīāļāļāļāļāļ§āļąāļāļāļļāļāđāļ§āļĒāļ§āļīāļāļĩāļāļēāļĢāļŠāļāļāđāļāļĩāļĒāļāļŠāļĩāļāļēāļāđāļāļāļ āļđāļĄāļīāļāļāļŠāļāļāļŠāļĩ 24 āļŠāļĩ (Color Checker) āđāļāļĒāļāļąāđāļāļāļāļāļāļēāļĢāļāđāļēāļĒāļ āļēāļāļ§āļąāļāļāļļāļāļ°āđāļāđāļāļāļāļāđāļāđāļāļŠāļāļāļŠāđāļ§āļāļŦāļĨāļąāļ āļŠāđāļ§āļāļāļĩāđāļŦāļāļķāđāļāđāļāđāļāļĨāđāļāļāļŠāļāļđāļāļīāđāļāļāļĩāđāļĄāļĩāļāļēāļĢāļāļīāļāļāļąāđāļāđāļāļāļŦāļĨāļāļāđāļāđāļāļĨāļāļĩāļāļĩāļŠāļĩāļāļēāļ§āđāļāļāļēāļĢāļāđāļēāļĒāļ āļēāļāļ§āļąāļāļāļļāđāļāļ 360 āļāļāļĻāļēāđāļāļ·āđāļāļāļģāđāļāļāļĢāļ°āļĄāļ§āļĨāļāļĨāļ āļēāļāļāđāļ§āļĒāļ§āļīāļāļĩāļāļēāļĢāļĢāļąāļāļ§āļąāļāļāđāļ§āļĒāļ āļēāļ (Photogrammetry) āđāļāļ·āđāļāļŠāļĢāđāļēāļāđāļāļāļāļģāļĨāļāļāļŠāļēāļĄāļĄāļīāļāļīāđāļĨāļ°āļ āļēāļāđāļāļāļāļĩāđāļŠāļĩāļāļ·āđāļāļāļīāļ§āļāļāļāļ§āļąāļāļāļļ āļŠāđāļ§āļāļāļĩāđāļŠāļāļāđāļāđāđāļāļĢāļ·āđāļāļāļŠāđāļāļāđāļāļāļĢāđāļŠāļēāļĄāļĄāļīāļāļīāļŠāļģāļŦāļĢāļąāļāļŠāđāļāļāļāļ·āđāļāļāļīāļ§āđāļāļāļēāļĢāļāđāļēāļĒāļ āļēāļāļ§āļąāļāļāļļāđāļāļĄāļļāļĄāļĄāļāļāđāļāļĩāļĒāļ§āļāļąāļāđāļāđāļāļĒāļđāđāļ āļēāļĒāđāļāđāļāļēāļĢāļŠāđāļāļāļŠāļ§āđāļēāļāļāļāļāđāļŠāļāļāļēāļāļŦāļĨāļāļāđāļ 8 āļāļ§āļāđāļāļāļīāļĻāļāļēāļāļāļĩāđāđāļāļāļāđāļēāļāļāļąāļāđāļāļ·āđāļāļāļģāļ āļēāļāđāļāļāļĢāļ°āļĄāļ§āļĨāļāļĨāļ āļēāļāļāđāļ§āļĒāļ§āļīāļāļĩāđāļāđāļāđāļĄāļāļĢāļīāļāļŠāđāļāļāļĢāļīāđāļ (Photometric Stereo) āļŠāļģāļŦāļĢāļąāļāļŠāļĢāđāļēāļāļ āļēāļāđāļāļāļāļĩāđāļŠāļĩāļāļ·āđāļ āļ āļēāļāđāļāļāļāļĩāđāđāļāļ§āļāļēāļ āđāļĨāļ°āļ āļēāļāđāļāļāļāļĩāđāļāļ§āļēāļĄāļŠāļđāļ āļŠāļļāļāļāđāļēāļĒāđāļĄāļ·āđāļāļāļģāļ āļēāļāđāļāļāļāļĩāđāļāđāļēāļāđ āđāļāđāļŠāđāđāļŦāđāđāļāđāđāļāļāļāļģāļĨāļāļāļŠāļēāļĄāļĄāļīāļāļīāđāļĨāđāļ§āļāļģāļāļēāļĢāđāļĢāļāđāļāļāļĢāđāļ āļēāļāđāļāļāļāļģāļĨāļāļāļŠāļēāļĄāļĄāļīāļāļīāļŠāđāļāļāļĨāđāļŦāđāđāļāļāļāļģāļĨāļāļāļŠāļēāļĄāļĄāļīāļāļīāļāļĩāđāļŠāļĢāđāļēāļāļāļķāđāļāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļŠāļđāļāļŦāļĢāļ·āļāļāļđāļāļāđāļģ āļĢāļāļĒāļāļĢāļļāļāļĢāļ° āļĢāđāļāļāļĨāļķāļ āļĨāļ§āļāļĨāļēāļĒāļāđāļēāļāđ āđāļĨāļ°āļŠāļĩāļāļ·āđāļāļāļīāļ§āļāļĩāđāļāļĢāļēāļāļāļāļĒāļđāđāļāļāļāļ·āđāļāļāļīāļ§āļĄāļĩāļāļ§āļēāļĄāļŠāļāļāļāļĨāđāļāļāļāļąāļāļ§āļąāļāļāļļāļāļĢāļīāļComputer graphics technologies are significantly advanced. This results in the requirements for 3D models that are realistic in order to display on the screens of the electronic devices, in the movie, video game, animation, sculpture, architecture, product design, augmented reality (ar), and virtual reality (vr) technologies industries as well as to print the 3D models through 3D printers. The purpose of this research study is to design and develop the object scanning system for storing the high definition 3D data of the planar and non-planar surfaces by taking the photos of real objects in many angles with the DSLR digital camera to store high definition photos. The colors of the photos of the objects were adjusted with the color calibration method from the color checker with 24 colors. To take photos, the photos of the objects were divided into two main parts. For the first part, the studio camera with white LED was used for taking 360 degree photos being processed with photogrammetry in order to create 3D models and texture maps of the objects. For the second part, a 3D scanner was used in order to scan the surfaces of the objects at the same angle with the different directions of lights from eight light bulbs in order to process the photos with photometric stereo for creating base color maps, normal maps and heightmaps. Finally, the map photos were inputted in the 3D models. Then, the 3D models were rendered. As a result, the 3D models had high reliefs, bas reliefs, rugged surfaces, deep grooves and patterns. Additionally, the colors on the surfaces were consistent with the real objects
Abalone Collagen Extracts Potentiate Stem Cell Properties of Human Epidermal Keratinocytes
Stem cell activities in human tissues are critical for tissue integrity and function. Maintaining keratinocyte stem cells (KSCs) stemness helps sustain healthy skin by supporting keratinocyte renewal, involving the formation of epidermal barriers. In this study, abalone collagen (AC) extracts with molecular weights of 3 kDa (AC 1) and 300 kDa (AC 2) were compared to the epidermal growth factor (EGF) for their effects on cell proliferation, cell migration (wound healing), spheroid formation, and the expression level of stem cell markers on human keratinocytes (HaCaT cells). Cell viability was measured by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay and cell proliferation was quantified by ATP and DNA content analysis and Sulforhodamine B (SRB) assays. Cell migration assay was determined using the scratch wound healing test. Spheroid formation was evaluated and the expression level of stem cell markers was investigated by western blot analysis. The results showed that AC 1 at the concentration of 100 µg/mL could stimulate HaCaT cell proliferation, migration, spheroid formation, and the expression level of stem cell markers (keratin 19, β-catenin, ALDH1A1) compared to the control. In conclusion, a smaller molecular weight of abalone collagen extract exhibits a better effect on keratinocytes proliferation, migration, and stemness, which could be a potential active ingredient in cosmeceutical products