Zobrazeno 1 - 10 of 73 pro vyhledávání: '"R. Suhendra"'
1
Protective Effects of Acehnese Traditionally Fermented Coconut Oil (Pliek U Oil)1 and its Residue (Pliek U) in Ointment against UV Light Exposure: Studies on Male Wistar Rat Skin (Rattus novergicus)
Autor: Nanda Earlia, Mikyal Bulqiah, G. M. Idroes, Rinaldi Idroes, Eko Suhartono, Novi Reandy Sasmita, Aga Maulana, C. R. S. Prakoeswa, Muslem Muslem, Khairan Khairan, R. Suhendra, Taufiq Karma, Mohamad Amin
Publikováno v: Sains Malaysiana. 50:1285-1295
A protective effect of Acehnese traditionally fermented coconut oil (Pliek U oil) and its residue (Pliek U) have been studied against UVB radiation. The research was performed by preparing the active ingredient in ointment formulation and protective
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fea54b1b831469054a2b1ef3748a492a
https://doi.org/10.17576/jsm-2021-5005-09
Zobrazit plný text záznamu
3
GC/MS Analysis of Fatty Acids on Pliek U Oil and Its Pharmacological Study by Molecular Docking to Filaggrin as a Drug Candidate in Atopic Dermatitis Treatment
Autor: Nanda Earlia, Mohamad Amin, Rinaldi Idroes, R. Suhendra, C. R. S. Prakoeswa, Muslem, Khairan
Publikováno v: The Scientific World Journal, Vol 2019 (2019)
The Scientific World Journal
Analysis of fatty acid contents and pharmacological properties of Pliek U oil was performed. Fatty acids were analyzed by gas chromatography-mass spectrometry (GC-MS), and pharmacological properties based on its potential on filament-aggregating prot
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90d4699962ffd8611279e37a76d5d672
https://doi.org/10.1155/2019/8605743
Zobrazit plný text záznamu
6
Prediction of Kovats Retention Indices for Fragrance and Flavor using Artificial Neural Network
Autor: Irvanizam Irvanizam, Rinaldi Idroes, R. Suhendra, Aga Maulana, T. R. Noviandy, Novi Reandy Sasmita
Publikováno v: 2020 International Conference on Electrical Engineering and Informatics (ICELTICs).
In this research the Kovats retention index of 51 fragrance and flavor substances was successfully predicted using Artificial Neural Network (ANN). ANN has been run three times with each number of iterations of 1000, 5000, and 10000. These three iter
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::36e81eb7e77b420a06ec28d750f8032e
https://doi.org/10.1109/iceltics50595.2020.9315391
Zobrazit plný text záznamu
7
Alternative Briquette Material Made from Palm Stem Biomass Mediated by Glycerol Crude of Biodiesel Byproducts as a Natural Adhesive
Autor: R. Suhendra, Teuku Meurah Indra Mahlia, Zuchra Helwani, Marlina Marlina, Viqha Ashwie, G. M. Idroes, Asep Rusyana, Muliadi Ramli, Warman Fatra, Rinaldi Idroes
Publikováno v: Processes, Vol 8, Iss 777, p 777 (2020)
Processes
Volume 8
Issue 7
Recently, the global population has increased sharply, unfortunately, the availability of fossil fuel resources has significantly decreased. This phenomenon has become an attractive issue for many researchers in the world so that various studies in t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::391643637386f1667e717d5ca467ef2b
https://www.mdpi.com/2227-9717/8/7/777
Zobrazit plný text záznamu
8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
9
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
10
A Novel Approach to Multi-class Atopic Dermatitis Disease Severity Scoring using Multi-class SVM
Autor: R. Suhendra, Eko Suhartono, Fitri Arnia, Rinaldi Idroes, Nanda Earlia
Publikováno v: 2019 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom).
The severity scoring of atopic dermatitis skin disease is a crucial stage for a dermatologist. Accurate and reliable decision-making by a dermatologist are needed for better therapy and risk stratification to the patient. Generally, the dermatologist
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01fa25dc24612a3dde4b859323e84d39
https://doi.org/10.1109/cyberneticscom.2019.8875693
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje