Relationship between the retinacula cutis and sagging facial skin

2017 ◽  
Vol 24 (1) ◽  
pp. 93-98 ◽  
Author(s):  
A. Sakata ◽  
K. Abe ◽  
K. Mizukoshi ◽  
T. Gomi ◽  
I. Okuda
Keyword(s):  
Facial Skin ◽  
Retinacula Cutis

Pengoptimalan Air Leri dalam Pembuatan Sabun Pembersih Wajah Alami yang Ekonomis

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Rahmawati Rahmawati ◽  
Trimayasari Trimayasari ◽  
Ghozali Akhmad Mustaqim ◽  
Wening Dwi Prastiwi ◽  
Emas Agus Prastyo Wibowo
Keyword(s):  
Amino Acids ◽  
Fine Particles ◽  
Hard Water ◽  
Essential Amino Acids ◽  
Ultraviolet Rays ◽  
Starch Granules ◽  
Facial Skin ◽  
Skin Cells ◽  
The Face ◽  
Made In

AbstractSoap facial cleanser is needed to keep the facial skin to keep them clean and healthy. The purpose of this study to make soap cleanser with natural materials such as hard water deposits leri. This is because the use of leri water starch or starch granules of fine particles contained in water leri dansel dust can shed the dead skin on the face because of the essential amino acids contained can regenerate skin cells. In addition, water leri can brighten the face because the leri water oryzanol contain substances that can update the development and formation of the pigment melanin, which is effectively to ward off ultraviolet rays. The process of making soap using the principle of saponification reaction, namely the reaction between the oil and the KOH/NaOH. Facial cleansing soap made in this study is solid soap. Based on the results of quality test, soap solid leri water has a pH of 11.1, saponification number is 33, the water content of 46% as well as respondents to the test aspects of aroma and foam shows good results so this water leri treatment can be an alternative solution to prevent the use of soap facial cleansers that contain harmful chemicals. Keywords: air leri, soap cleanser, saponification  AbstrakSabun pembersih wajah sangat diperlukan untuk menjaga kulit wajah agar tetap bersih dan sehat. Tujuan dari penelitian ini untuk membuat sabun pembersih wajah dengan bahan alami berupa endapan air leri. Penggunaan air leri ini dikarenakan butiran partikel starch atau pati halus yang terdapat dalam air leri dapat merontokkan debu dansel kulit mati pada wajah karena asam amino esensial yang terkandung dapat meregenerasi sel-sel kulit. Selain itu, air leri dapat mencerahkan wajah karena air leri mengandung zat oryzanol yang dapat memperbarui perkembangan dan pembentukan pigmen melanin, yang efektif guna menangkal sinar ultraviolet. Proses pembuatan sabun menggunakan prinsip reaksi saponifikasi, yaitu reaksi antara minyak dan KOH/NaOH. Sabun pembersih wajah yang dibuat dalam penelitian ini ialah sabun padat. Berdasarkan hasil uji mutu, sabun air leri padat memiliki pH 11,1, angka penyabunan sebesar 33 kadar air 46 kadar air 46 % serta uji responden terhadap aspek aroma dan busa yang menunjukkan hasil cukup baik sehingga pengolahan air leri ini dapat menjadi solusi alternative untuk mencegah penggunaan sabun pembersih wajah yang mengandung bahan kimia berbahaya. Kata kunci: air leri, sabun pembersih wajah, saponifikasi 

Measuring Facial Skin Temperature Changes Caused by Mental Work-Load with Infrared Thermography

2016 ◽  
Vol 136 (11) ◽  
pp. 1581-1585 ◽  
Author(s):  
Tota Mizuno ◽  
Takeru Sakai ◽  
Shunsuke Kawazura ◽  
Hirotoshi Asano ◽  
Kota Akehi ◽  
...  
Keyword(s):  
Skin Temperature ◽  
Infrared Thermography ◽  
Work Load ◽  
Facial Skin ◽  
Mental Work ◽  
Temperature Changes ◽  
Mental Work Load

Influence of Appropriate Skin Care on Facial Skin Physiology and Quality of Life in Atopic Dermatitis Patients

2013 ◽  
Vol 75 (1) ◽  
pp. 65-71
Author(s):  
Katsuko KIKUCHI ◽  
Maki OZAWA ◽  
Setsuya AIBA ◽  
Eishin MORITA
Keyword(s):  
Quality Of Life ◽  
Atopic Dermatitis ◽  
Skin Care ◽  
Facial Skin ◽  
Skin Physiology

Exploring the Facial Color Representative Regions Using the Humanae Images

2020 ◽  
Author(s):  
Yuchun Yan ◽  
Hayan Choi ◽  
Hyeon-Jeong Suk
Keyword(s):  
Image Analysis ◽  
Future Study ◽  
Skin Color ◽  
Color Difference ◽  
Facial Skin ◽  
Female Images ◽  
Gender And Race ◽  
Facial Landmarks

It is difficult to describe facial skin color through a solid color as it varies from region to region. In this article, the authors utilized image analysis to identify the facial color representative region. A total of 1052 female images from Humanae project were selected as a solid color was generated for each image as their representative skin colors by the photographer. Using the open CV-based libraries, such as EOS of Surrey Face Models and DeepFace, 3448 facial landmarks together with gender and race information were detected. For an illustrative and intuitive analysis, they then re-defined 27 visually important sub-regions to cluster the landmarks. The 27 sub-region colors for each image were finally derived and recorded in L ∗ , a ∗ , and b ∗ . By estimating the color difference among representative color and 27 sub-regions, we discovered that sub-regions of below lips (low Labial) and central cheeks (upper Buccal) were the most representative regions across four major ethnicity groups. In future study, the methodology is expected to be applied for more image sources.

Visualization of Cutaneous Distribution of Minocycline of a Topical Gel in Human Facial Skin with Two-Photon Excited Fluorescence Lifetime Imaging Microscopy (FLIM) and Phasor Analysis

2017 ◽  
Vol 1 ◽  
pp. s57
Author(s):  
Sinyoung Jeong ◽  
Maiko Hermsmeier ◽  
Sam Osseiran ◽  
Akira Yamamoto ◽  
Usha Nagavarapu ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Facial Skin ◽  
Topical Gel ◽  
Two Photon ◽  
Lifetime Imaging ◽  
Phasor Analysis

Abstract Not AvailableStudy supported by BioPharmX.

The Effect in Topical Use of LycogenTM via Sonophoresis for Anti-aging on Facial Skin

2015 ◽  
Vol 16 (12) ◽  
pp. 1063-1069 ◽  
Author(s):  
Lai Hsin-Ti ◽  
Liu Wen-Sheng ◽  
Wu Yi-Chia ◽  
Lai Ya-Wei ◽  
Zhi-Hong Wen ◽  
...  
Keyword(s):  
Facial Skin

Interval prediction algorithm for human facial skin state based on multi-indicators synthesis

2020 ◽  
Author(s):  
Shihai Wang ◽  
Huiyan Zhang ◽  
Xiaoyi Wang ◽  
Tingting Wang ◽  
Yinmao Dong ◽  
...  
Keyword(s):  
Prediction Algorithm ◽  
Facial Skin ◽  
Interval Prediction

Comparisons in perception of facial skin brightness, as influenced by differences in skin color: Asian observers

2021 ◽  
Author(s):  
Yuanyuan He ◽  
Taiga Mikami ◽  
Suguru Tanaka ◽  
Kumiko Kikuchi ◽  
Yoko Mizokami
Keyword(s):  
Skin Color ◽  
Facial Skin
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