Characterization of spark plasma sintered graphene-coated stainless-steel compacts

We investigated the effect of sintering temperature and graphene content on the microstructure, densification, hardness, and wear properties of spark-pl asma sintered (SPS) graphene-coated 316L stainless-steel powders. Four sintering temperatures (850, 900, 950, and 1000 °C) and graphene content of 0.01, 0.1, and 0.5 wt.% were investigated. Re sults showed that sintered density increased with the sintering temperature. Microstructural examination corroborated this result as distinct unsintered powder particles, sinter necks and la rge interparticle pores observed at 850 °C were annihilated at 1000 °C. The 316L stainless stee l sintered specimen had a density of 7.27 g/cm3 , which decreased slightly with incr easing graphene content to 7.17 g/cm 3 for the sample with 0.5 wt.% graphene coating. The sintering temperature and graphene content appeared not to have significant effect on the microhardness. For instance, microhardness for the reference 316L sintered specimen was 189 HV, compared to ~ 171 HV fo r all the graphene-coated 316L sintered specimens. X-ray diffraction analysis did not dete ct the formation of carbides in the sintered samples, which suggested that the sintering pr ocess minimized its formation. Raman spectroscopy indicated that sintering at 850 °C preserved the structure of gr aphene during the spark plasma sintering process

Colorizing gray level images by using wavelet filters

© 2019 IEEE. This paper discusses a new algorithm to produce colored version of gray scale natural still images. This algorithm employs artificial neural network (ANN) to predict RGB channels using the Discrete Wavelet Transform (DWT). A group of natural color images are used to train three ANNs. The trained networks estimate low resolution RGB layers of the gray scale image which are the best match to the trained images. The colored version of the image is produced form the predicted RGB layers and information form grayscale image. The performances of the new algorithm are analyzed subjectively and objectively using the peak signal to noise and Structural Similarity, as well as it is compared to similar algorithm based on discrete cosine transform. Acceptable colorized images were obtained from different still images

A pilot study on automated quantitative grading of facial functions

Quantitative grading of facial paralysis (FP) and the associated loss of facial function are essential to evaluate the severity and to track deterioration or improvement of the condition following treatment. To date, several computer-assisted grading systems have been proposed but none have gained widespread clinical acceptance. There is still a need for an accurate quantitative assessment tool that is automatic, inexpensive, easy to use, and has low inter-observer variability. The aim of the authors is to develop such a comprehensive Automated Facial Grading (AFG) system. One of this system’s modules: the resting symmetry module has already been presented. The present study describes the implementation of the second module for grading voluntary movements. The system utilizes the Kinect v2 sensor to detect and capture facial landmarks in real time. The functions of three regions, the eyebrows, eyes and mouth, are evaluated by quantitatively grading four voluntary movements. Preliminary results on normal subjects and patients are promising. The AFG system is a novel system that is suitable for clinical use because it is fast, objective, easy to use, and inexpensive. With further enhancement, it can be extended to become a virtual facial rehabilitation tool

Pengaruh Pendidikan Kesehatan Terhadap Tingakat Pengetahuan Siswa Tentang Cara Pencegahan Penyakit Hiv/aids Di SMA Negeri 1 Manado

: HIV/AIDS is a big problem that threatening Indonesia and many country in the world. AIDS(Acquired Immunodeficiency Syndrome) can be defined as a collection of symptoms or disease caused by decreased immunity due to infection by the HIV virus (Human Immunodeficiency Virus). AIDS is the final stage of HIV infection. The symptoms are fever, rash, diarrhea, or cough. After the acute infection, begins the HIV infection asymptomatic (without symptoms). This asymptomatic period usually lasts for 8-10 years. The purpose of this study was to determine The Effect of Health Education on knowlegde level students about HIV/AIDS prevention. This research was conducted using the method of one-group pretest-posttest, the selection of sample by random sampling. The sample was 100 respondents. Then, the data obtained were processed using SPSS version 16.00 and analyzed using statistical tests Paired Sample T-Test with a significance level (α) of 0.05. The results showed that health education either 100 or 100%. The Conclusions of this study have a significant effect of health education on the student's level of knowledge about how HIV/AIDS disease prevention with the value P = 0.000

Karakteristik Surimi Yang Dibuat Dari Hasil Pencucian Daging Ikan Cakalang (Katsuwonus Pelamis L) Dengan Air Dingin (± 4ºc)

This research intended to study the effect of washing period of skipjack (Katsuwonus pelamis L) meat with cold water to the chemical and physical properties of surimi. The functional properties of surimi was tested either by physical or chemical analysis. In this study we measured folding test, texture and fat content. A complete randomized design were designated for this study with washing period as a treatment ( 0, 1, 2, 3, or 4 min). The average value of folding test were 2.2, 2.6, 3.0, 3.8 and 4.6, respectively. There is an increment of folding test value as the washing period increased. The average value of the texture analysis were 3.0, 3.8, 4.4, 5.1 and 5.9. Likewise, the longer the washing time, the firmer the texture. However, as the washing period increased, the fat content of surimi tend to decrease

In vitro and in vivo characterization of a recombinant rhesus cytomegalovirus containing a complete genome

Cytomegaloviruses (CMVs) are highly adapted to their host species resulting in strict species specificity. Hence, in vivo examination of all aspects of CMV biology employs animal models using host-specific CMVs. Infection of rhesus macaques (RM) with rhesus CMV (RhCMV) has been established as a representative model for infection of humans with HCMV due to the close evolutionary relationships of both host and virus. However, the only available RhCMV clone that permits genetic modifications is based on the 68-1 strain which has been passaged in fibroblasts for decades resulting in multiple genomic changes due to tissue culture adaptations. As a result, 68-1 displays reduced viremia in RhCMV-naive animals and limited shedding compared to non-clonal, low passage isolates. To overcome this limitation, we used sequence information from primary RhCMV isolates to construct a full-length (FL) RhCMV by repairing all mutations affecting open reading frames (ORFs) in the 68-1 bacterial artificial chromosome (BAC). Inoculation of adult, immunocompetent, RhCMV-naive RM with the reconstituted virus resulted in significant viremia in the blood similar to primary isolates of RhCMV and furthermore led to high viral genome copy numbers in many tissues at day 14 post infection. In contrast, viral dissemination was greatly reduced upon deletion of genes also lacking in 68-1. Transcriptome analysis of infected tissues further revealed that chemokine-like genes deleted in 68-1 are among the most highly expressed viral transcripts both in vitro and in vivo consistent with an important immunomodulatory function of the respective proteins. We conclude that FL-RhCMV displays in vitro and in vivo characteristics of a wildtype virus while being amenable to genetic modifications through BAC recombineering techniques

Single image super-resolution algorithm using PSNR in the wavelet domain

© 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. This article introduces a new algorithm for enhancing the resolution of interpolated images. The aim of this proposed algorithm is to obtain a high resolution image from a single low resolution image. The new algorithm uses the interpolation technique with a two dimensional filter that is specifically designed for the image by maximizing the peak signal to noise ratio in the wavelet domain. In addition to the 2D filter, a prediction method to estimate the difference between interpolated images will be used. The processed images are assessed by comparing them with ground truth images which are used for assessment purpose only. The proposed algorithm performance is evaluated using the peak signal to noise ratio in the spatial domain (PSNR), the peak signal to noise ratio in the wavelet domain (WPSNR) and the structural similarity index measurement (SSIM). The proposed new algorithm gives a better result than the previous algorithms